[House Hearing, 119 Congress]
[From the U.S. Government Publishing Office]




                   HEARING FOR THE PURPOSE OF RECEIVING
                       TESTIMONY FROM THE HONORABLE
                    BROOKE L. ROLLINS, SECRETARY, U.S.
                        DEPARTMENT OF AGRICULTURE

=======================================================================

                                HEARING

                               BEFORE THE

                        COMMITTEE ON AGRICULTURE
                        HOUSE OF REPRESENTATIVES

                    ONE HUNDRED NINETEENTH CONGRESS

                             FIRST SESSION

                               __________


                             JUNE 11, 2025

                               __________


                            Serial No. 119-7






                 [GRAPHIC NOT AVAILABLE IN TIFF FORMAT]






          Printed for the use of the Committee on Agriculture
                         agriculture.house.gov


                               ______
                                 

                 U.S. GOVERNMENT PUBLISHING OFFICE

62-625 PDF                WASHINGTON : 2026






                        COMMITTEE ON AGRICULTURE

                 GLENN THOMPSON, Pennsylvania, Chairman

FRANK D. LUCAS, Oklahoma             ANGIE CRAIG, Minnesota, Ranking 
AUSTIN SCOTT, Georgia, Vice          Minority Member
Chairman                             DAVID SCOTT, Georgia
ERIC A. ``RICK'' CRAWFORD, Arkansas  JIM COSTA, California
SCOTT DesJARLAIS, Tennessee          JAMES P. McGOVERN, Massachusetts
DOUG LaMALFA, California             ALMA S. ADAMS, North Carolina
DAVID ROUZER, North Carolina         JAHANA HAYES, Connecticut
TRENT KELLY, Mississippi             SHONTEL M. BROWN, Ohio, Vice 
DON BACON, Nebraska                  Ranking Minority Member
MIKE BOST, Illinois                  SHARICE DAVIDS, Kansas
DUSTY JOHNSON, South Dakota          ANDREA SALINAS, Oregon
JAMES R. BAIRD, Indiana              DONALD G. DAVIS, North Carolina
TRACEY MANN, Kansas                  JILL N. TOKUDA, Hawaii
RANDY FEENSTRA, Iowa                 NIKKI BUDZINSKI, Illinois
MARY E. MILLER, Illinois             ERIC SORENSEN, Illinois
BARRY MOORE, Alabama                 GABE VASQUEZ, New Mexico
KAT CAMMACK, Florida                 JONATHAN L. JACKSON, Illinois
BRAD FINSTAD, Minnesota              SHRI THANEDAR, Michigan
JOHN W. ROSE, Tennessee              ADAM GRAY, California
RONNY JACKSON, Texas                 KRISTEN McDONALD RIVET, Michigan
MONICA De La CRUZ, Texas             SHOMARI FIGURES, Alabama
ZACHARY NUNN, Iowa                   EUGENE SIMON VINDMAN, Virginia
DERRICK VAN ORDEN, Wisconsin         JOSH RILEY, New York
DAN NEWHOUSE, Washington             JOHN W. MANNION, New York
TONY WIED, Wisconsin                 APRIL McCLAIN DELANEY, Maryland
ROBERT P. BRESNAHAN, Jr.,            CHELLIE PINGREE, Maine
Pennsylvania                         SALUD O. CARBAJAL, California
MARK B. MESSMER, Indiana
MARK HARRIS, North Carolina
DAVID J. TAYLOR, Ohio

                                 ______

                     Parish Braden, Staff Director

                 Brian Sowyrda, Minority Staff Director

                                  (ii)









                             C O N T E N T S

                              ----------                              
                                                                   Page
Adams, Hon. Alma S., a Representative in Congress from North 
  Carolina:
    Prepared statement...........................................     5
    Submitted letter.............................................   107
Carbajal, Hon. Salud O., a Representative in Congress from 
  California, submitted press release............................   156
Costa, Hon. Jim, a Representative in Congress from California, 
  submitted letters..............................................   105
Craig, Hon. Angie a Representative in Congress from Minnesota, 
  opening statement..............................................     4
    Prepared statement...........................................     5
Jackson, Hon. Jonathan L., a Representative in Congress from 
  Illinois, prepared statement...................................     7
Thompson, Hon. Glenn, a Representative in Congress from 
  Pennsylvania, opening statement................................     1
    Prepared statement...........................................     3
Vindman, Hon. Eugene Simon, a Representative in Congress from 
  Virginia, submitted articles...................................   108

                                Witness

Rollins, Hon. Brooke, Secretary, U.S. Department of Agriculture, 
  Washington, D.C................................................     7
    Prepared statement...........................................     9
    Submitted questions..........................................   157










 
                   HEARING FOR THE PURPOSE OF RECEIVING
                       TESTIMONY FROM THE HONORABLE
                    BROOKE L. ROLLINS, SECRETARY, U.S.
                        DEPARTMENT OF AGRICULTURE

                              ----------                              


                        WEDNESDAY, JUNE 11, 2025

                          House of Representatives,
                                  Committee on Agriculture,
                                                   Washington, D.C.
    The Committee met, pursuant to call, at 10:06 a.m., in Room 
1300, Longworth House Office Building, Hon. Glenn Thompson, 
[Chairman of the Committee] presiding.
    Members present: Representatives Thompson, Lucas, Austin 
Scott of Georgia, Crawford, DesJarlais, LaMalfa, Rouzer, Kelly, 
Bacon, Bost, Johnson, Baird, Mann, Feenstra, Miller, Moore, 
Finstad, Rose, Jackson of Texas, De La Cruz, Nunn, Van Orden, 
Newhouse, Wied, Messmer, Harris, Taylor, Craig, David Scott of 
Georgia, Costa, McGovern, Adams, Hayes, Brown, Davids of 
Kansas, Salinas, Davis of North Carolina, Tokuda, Budzinski, 
Sorensen, Vasquez, Jackson of Illinois, Gray, McDonald Rivet, 
Figures, Vindman, Riley, Mannion, McClain Delaney, and 
Carbajal.
    Staff present: Justin Benavidez, Laurel Lee Chatham, Austin 
DeBerry, Luke Franklin, Justina Graff, Harlea Hoelscher, Sofia 
Jones, Joshua Maxwell, Josie Montoney, Thomas Newberry, Sam 
Rogers, Patricia Straughn, Joshua Stull, John Konya, Britton 
Burdick, Suzie Cavalier, Kate Fink, Clark Ogilvie, Michael 
Stein, and Jackson Blodgett.

 OPENING STATEMENT OF HON. GLENN THOMPSON, A REPRESENTATIVE IN 
                   CONGRESS FROM PENNSYLVANIA

    The Chairman. The Committee will come to order. Welcome, 
and thank you all for joining today's hearing where we will 
hear from Secretary Rollins from the U.S. Department of 
Agriculture. After brief opening remarks, Members will receive 
testimony from our witness today, and then the hearing will 
open to questions.
    So once again, good morning, everyone. I would like to 
welcome you all to today's hearing and extend a special thanks 
to the Honorable Brooke Rollins for joining us for her first 
appearance before this Committee as our 33rd Secretary of 
Agriculture. I am proud to call her a friend and deeply 
appreciative of the leadership she has shown in just a few 
short months on the job. Madam Secretary, we are truly grateful 
to have you with us today.
    This Committee is dedicated to the prosperity and long-term 
sustainability of rural America. Our nation's farmers, 
ranchers, and foresters are the fundamental piece of America's 
number one industry which clothes and feeds millions of 
American families and billions around the world.
    And that is why Congress came together at the end of last 
year to provide meaningful relief with $21 billion to address 
weather-related losses in 2023 and 2024 and another $10 billion 
to help offset sustained economic losses impacting producers. I 
am grateful to Secretary Rollins for the work she has done and 
will continue to do to get those dollars out the door and 
ensure that help reaches the producers who need it most.
    Largely thanks to these investments and a renewed emphasis 
on expanding global markets, recent USDA forecasts show net 
farm income stabilizing for 2025. Those dollars, while not 
enough to make producers whole, were enough for many to keep 
the lights on and obtain credit to farm another year. However, 
input costs remain high and commodity prices continue to soften 
and forecast margins, working capital, and debt loads continue 
to deteriorate.
    Our work to support America's farmers and ranchers is not 
yet complete. Over the past several years, the producers we 
represent have withstood an unprecedented mix of adversity, a 
global pandemic, record inflation, supply chain disruptions, 
animal disease, and natural disasters, and yet they have 
continued to deliver the safest, most abundant, and most 
affordable food supply in the world. While that is not 
something that we take for granted, it is something we must 
support through sound policy, stable markets, and a strong 
USDA.
    That said, we have plenty to discuss this morning, Madam 
Secretary. We are eager to hear your plans to make USDA more 
efficient, particularly as it relates to reorganization 
efforts, ensuring that there is not a disruption to customer 
service. We are also interested in your strategy to support 
producers with today's challenging trade environment and animal 
health risks. As you and the President work to lower barriers 
and open new markets and we navigate these issues together, I 
trust you will continue to keep the interests of the American 
agriculture front and center.
    We are turning the page to a new chapter for American 
agriculture, one where new scientific breakthroughs and 
technology will work hand in hand with tradition, stewardship, 
and grit to address the challenges at hand and build on the 
legacy of resilience and innovation driven by our farmers and 
ranchers.
    As part of that new chapter, it is incumbent on Congress to 
do our job. The One Big Beautiful Bill Act (Pub. L. 119-21) is 
a critical down payment on meaningful change for America, but 
it is just the beginning. We must also deliver a full farm bill 
reauthorization that provides certainty and long-term support 
for our producers. Once we complete the reconciliation process, 
we will build on that foundation with a comprehensive farm bill 
later this year.
    Secretary Rollins, I know that you bring to this role a 
deep belief in the power of rural America and the American 
farmer. We share that belief. I know that we are aligned in our 
commitment to the people in this country who produce, as well 
as those who consume. As we begin this conversation today, I 
want to underscore my hope and expectation that the 
relationship between this Committee and the Department of 
Agriculture will be a strong, productive partnership. The 
future of our food supply, our environment, and our economy 
depends on it.
    With that, I thank you again, Secretary Rollins, for your 
service and your testimony.
    [The prepared statement of Mr. Thompson follows:]

Prepared Statement of Hon. Glenn Thompson, a Representative in Congress 
                           from Pennsylvania
    Good morning, everyone. I would like to welcome you all to today's 
hearing and extend a special thanks to the Honorable Brooke Rollins for 
joining us for her first appearance before this Committee as our 33rd 
Secretary of Agriculture.
    I'm proud to call her a friend and deeply appreciative of the 
leadership she has shown in just a few short months on the job. Madam 
Secretary, we're truly grateful to have you with us today.
    This Committee is dedicated to the prosperity and long-term 
sustainability of rural America. Our nation's farmers, ranchers, and 
foresters are the fundamental piece of America's number one industry, 
which clothes and feeds millions of American families, and billions 
around the world.
    That is why Congress came together at the end of last year to 
provide meaningful relief with $21 billion to address weather-related 
losses in 2023 and 2024, and another $10 billion to help offset 
sustained economic losses impacting producers.
    I'm grateful to Secretary Rollins for the work she has done and 
will continue to do to get those dollars out the door and ensure help 
reaches the producers who need it most.
    Largely thanks to these investments and a renewed emphasis on 
expanding global markets, recent USDA forecasts show net farm income 
stabilizing for 2025. Those dollars, while not enough to make producers 
whole, were enough for many to keep the lights on and obtain credit to 
farm another year.
    However, input costs remain high, commodity prices continue to 
soften and forecast margins, working capital, and debt loads continue 
to deteriorate.
    Our work to support America's farmers and ranchers is not yet 
complete.
    Over the past several years, the producers we represent have 
withstood an unprecedented mix of adversity: a global pandemic, record 
inflation, supply chain disruptions, animal disease, and natural 
disasters.
    And yet, they've continued to deliver the safest, most abundant, 
and most affordable food supply in the world. That's not something we 
take for granted. It is something we must support--through sound 
policy, stable markets, and a strong USDA.
    That said, we have plenty to discuss this morning, Madam Secretary. 
We're eager to hear your plans to make USDA more efficient, 
particularly as it relates to reorganization efforts and ensuring there 
is not a disruption to customer service. We're also interested in your 
strategy to support producers with today's challenging trade 
environment and animal health risks.
    As you and the President work to lower barriers and open new 
markets and we navigate these issues together, I trust you'll continue 
to keep the interests of American agriculture front and center.
    We are turning the page to a new chapter for American agriculture--
one where new scientific breakthroughs and technology will work hand-
in-hand with tradition, stewardship, and grit to address the challenges 
at hand and build on the legacy of resilience and innovation driven by 
our farmers and ranchers.
    As part of that new chapter, it is incumbent on Congress to do our 
job. The One Big Beautiful Bill is a critical down payment on 
meaningful change for America--but it's just the beginning.
    We must also deliver a full farm bill reauthorization that provides 
certainty and long-term support for our producers.
    Once we complete the reconciliation process, we will build on that 
foundation with a comprehensive farm bill later this year.
    Secretary Rollins, I know that you bring to this role a deep belief 
in the power of rural America and the American farmer.
    We share that belief. I know we are aligned in our commitment to 
the people in this country who produce as well as those who consume.
    As we begin this conversation today, I want to underscore my hope--
and expectation--that the relationship between this Committee and the 
Department of Agriculture will be a strong, productive partnership.
    The future of our food system, our environment, and our economy 
depends on it.
    With that, I thank you again, Secretary Rollins, for your service 
and your testimony. I now yield to Ranking Member Craig from the great 
State of Minnesota for her opening remarks.

    The Chairman. I now yield to Ranking Member Craig from the 
great State of Minnesota for her opening remarks.

  OPENING STATEMENT OF HON. ANGIE CRAIG, A REPRESENTATIVE IN 
                    CONGRESS FROM MINNESOTA

    Ms. Craig. Thank you, Mr. Chairman.
    And I want to welcome Secretary Rollins to our Committee 
hearing today. She reminded me in the back room that she spent 
every summer in Minnesota, so she has a deep connection to my 
home state as well.
    Doing right by our family farmers requires working across 
the aisle. That has been a trademark of this Committee over 
time, and that is how successful farm bills usually function. 
Traditionally, USDA has reflected that commitment as well by 
supporting our family farmers as they grow food that feeds our 
country and the world, ensuring our food is safe to eat, 
stopping the spread of animal disease, and innovating the 
future of food and agriculture.
    However, I am genuinely concerned that under this 
Administration, agricultural policymaking has become more 
partisan and polarized. This reckless push to cut nearly $300 
billion in funding to a title of the farm bill instead of 
prioritizing getting a 12 title, 5 year farm bill across the 
finish line is of particular concern to this Committee, and it 
has put the bipartisan farm bill in jeopardy.
    In addition, DOGE has been given essentially a free pass to 
damage program integrity and undermine the USDA's ability to 
carry out its core functions and provide key services that 
America's farmers rely on.
    Madam Secretary, your agency has fired and then had to 
rehire agency employees because of uninformed and reckless 
decisions over the course of the past few months. Our trade 
deficit is increasing. Retaliatory tariffs are coming. 
Countries are already moving to buy commodities from other 
nations instead of America's farmers. Input costs are 
stubbornly high. The bird flu remains a concern. Food banks 
have been defunded. Billions of dollars in farm programs remain 
frozen. School cafeterias have been cut off from sourcing 
locally grown food. Food safety and animal health experts have 
been fired or forced out. Nutrition assistance programs are 
being decimated. The farm bill is in jeopardy. The USDA 
Inspector General who rooted out fraud, waste, and abuse was 
fired. And the MAHA Commission, which USDA signed off on, is 
issuing reports with made-up science and fake citations without 
talking to family farmers.
    I grew up in farm country. My grandfather was a farm 
foreman. And I now have the opportunity and honor of 
representing corn, soybean, pork, and turkey producers, among 
others, in Minnesota's 2nd District. They are tough people. 
They want markets, not farm income from more government 
handouts because their government's policies are hurting their 
farms.
    So yes, Madam Secretary, we are grateful that you have come 
to testify in front of us today, and we have a lot to talk to 
you about. Thank you for being here.
    And, Mr. Chairman, I yield.
    [The prepared statement of Ms. Craig follows:]

 Prepared Statement of Hon. Angie Craig, a Representative in Congress 
                             from Minnesota
    Thank you, Mr. Chairman.
    I want to welcome the Secretary to our Committee hearing today. We 
have a lot to cover--and thank you for being here.
    Doing right by our family farmers often requires working across the 
aisle. That's been a trademark of this Committee over time. And that's 
how successful farm bills usually function.
    Traditionally, USDA has reflected that commitment as well. By 
supporting our family farmers as they grow food that feeds our country 
and the world, ensuring our food is safe to eat, stopping the spread of 
animal-borne disease and innovating the future of food and agriculture.
    However, I am genuinely concerned that under this Administration, 
agricultural policymaking has become much more partisan and polarized. 
This reckless push to cut nearly $300 billion in funding to a title of 
the farm bill--instead of prioritizing getting a full 12 title, 5 year 
farm bill across the finish line--is of particular concern. And has put 
a bipartisan farm bill in jeopardy.
    In addition, DOGE has been given essentially a free pass to damage 
program integrity and undermine the USDA's ability to carry out its 
core functions and provide key services that America's farmers rely on. 
Your agency has fired and then had to rehire agency employees because 
of uninformed and reckless decisions over the course of the past few 
months.
    Our trade deficit is increasing. Retaliatory tariffs are coming. 
Countries are already moving to buy commodities from other nations 
instead of American farmers. Input costs are stubbornly high. The bird 
flu remains a concern. Food banks have been defunded. Billions of 
dollars in farm programs remain frozen. School cafeterias have been cut 
off from sourcing locally grown food. Food safety and animal health 
experts have been fired or forced out. Nutrition assistance programs 
are being decimated. The farm bill is in jeopardy. The USDA Inspector 
General, who rooted out fraud, waste and abuse, was fired. The MAHA 
Commission is issuing reports with made-up science and fake citations 
without talking to family farmers.
    I grew up in farm country. My grandfather was a farm foreman. And I 
now have the honor of representing corn, soybean, pork and turkey 
producers, among others, in Minnesota's 2nd District. They're tough 
people; they want markets, not farm income from more government 
handouts because their government's policies are hurting their farms.
    So yes--we have a lot we want to talk to you about today. Thank you 
for being here.
    I yield back.

    The Chairman. I thank the gentlelady. She yields back.
    The chair would request that other Members submit their 
opening statements for the record so our witness may begin her 
testimony and to ensure that there is ample time for questions.
    [The prepared statements of Ms. Adams and Mr. Jackson of 
Illinois follow:]

Prepared Statement of Hon. Alma S. Adams, a Representative in Congress 
                          from North Carolina
    Thank you, Mr. Chairman. And I want to thank Secretary Rollins for 
being here, and I look forward to your testimony and the opportunity to 
have a conversation.
    Today, we are in the middle of a cost-of-living crisis, where 
American families are living paycheck to paycheck, and I am deeply 
concerned about the actions from the White House.
    So far, we have seen . . .
    The Local Food Purchase Assistance Cooperative Agreement was 
terminated. The Local Food for Schools Cooperative Agreement Program 
was canceled. These programs provided nearly $30 million to North 
Carolina for these vital community partnerships and distribution of 
local, healthy foods.
    The 1890 National Scholars Program, suspended. I am pleased that 
the USDA lifted the suspension. However, for this program to truly 
thrive, scholars and institutions need assurance that it won't face 
sudden suspensions again. I heard directly from representatives of 1890 
Institutions, and they shared how deeply concerning this pause was for 
them and their students--many of whom were left uncertain about their 
financial stability and educational futures. That is why I introduced 
the Land-Grant Institution Parity Act, which protects Federal funding 
for our land-grant colleges and universities, including the country's 
19 land-grant HBCUs, commonly referred to as 1890 Institutions.
    The National Institute of Food and Agriculture (NIFA), frozen. The 
University of North Carolina at Charlotte has been a recipient of a 
nearly $63,000 grant from NIFA.
    The Emergency Food Assistance Program, canceled.
    Despite court orders and the rescission of the initial memo, key 
USDA programs remain stalled, and uncertainty and confusion remain 
among families, farmers, and universities as they await the 
disbursement of funds and question whether programs will be frozen 
again or canceled in the future.
    In fact, Nourish Up, a food pantry network in my district of 
Mecklenburg County that strives to provide help to the more than 
200,000 people with food insecurity in the community, feels whiplash.
    After freezes, terminations, and proposed cuts to food assistance 
programs were revealed several months ago, staff at the food pantry 
noted that the uncertainty about available funds has added a layer of 
unpredictability to planning for nonprofits and other safety net 
organizations that often operate on lean budgets.
    I am also deeply concerned of the White House's desire to have this 
`One Big Beautiful' bill--I will tell you. there is nothing beautiful 
about it. And it is not an exaggeration to say that this budget bill is 
the single biggest threat to food security in generations.
    In my district, we have 46,000 households that receive SNAP 
benefits every month. That's one out of every seven.
    The average SNAP benefit in North Carolina is only $5.70 per person 
per day. That's already not enough to put food on the table anymore.
    Reducing it further would cause food insecurity to grow in our 
region and our state.
    Four in five North Carolina families receiving SNAP benefits have 
either a child, a senior, or an adult with a disability in their 
household.
    Whether it's a reduction in benefits or reducing the number of 
recipients, both would lead to severe harm for food security in 
Charlotte.
    On top of SNAP cuts, the Republican budget bill would also add even 
harsher work requirements on anyone trying to access the program.
    To be clear, SNAP already has work requirements. It's estimated 
that these requirements would threaten the food security of 375,000 
North Carolinians.
    Rather than help support the basic needs of their constituents, 
Republicans want to kick more people off SNAP so they can fund their 
tax breaks for billionaires.
    It's unacceptable.
    And, from the President's Budget and House Republican Agriculture 
Appropriations bill, both want slash WIC's cash value benefit, which 
allows families to purchase fruits and vegetables as part of their WIC 
food package.
    Let me be clear--these cuts don't happen in isolation--they target 
the same low-income families who rely on SNAP, Medicaid, public 
education, and other critical services. Slashing multiple supports at 
once intensifies hardship and deepens poverty.
    These actions will also harm American farmers who will no longer 
see proceeds from producing this food.
    I've spoken with farmers in my district about SNAP and they are 
overwhelmingly supportive of this program.
    Kim, a farmer in Charlotte, told me that, ``I support SNAP because 
we are a farm located in a `food desert' within the City of Charlotte. 
How can we feed our most vulnerable if we are unable to take these 
benefits at our farmstand?''
    Wendy, a farmer also from Charlotte, told me, ``We support SNAP 
because it brings people to our farm who otherwise wouldn't have the 
chance. We support SNAP because it gives small farms like ours a way to 
serve the community while staying sustainable.''
    We must work together to ensure that families and farmers across 
the country are able to thrive. At the end of the day, these are not 
red issues or blue issues--they are red, white, and blue issues--
American issues.
    Thank you for being here, I look forward to your testimony, and I 
yield back.
                                 ______
                                 
  Prepared Statement of Hon. Jonathan L. Jackson, a Representative in 
                         Congress from Illinois
    Thank you, Chairman Thompson. Thank you, Ranking Member Craig, and 
thank you, Secretary Rollins, for appearing before this Committee 
today.
    Last year, this Administration declared war. Not on the New World 
screwworm advancing on our southern border, not on the corporate 
consolidation squeezing our family farmers, but on an idea: the idea of 
Diversity, Equity, and Inclusion. And in doing so, it has created a 
crisis of competence and confidence at the U.S. Department of 
Agriculture.
    We are here today to examine whether the Secretary's actions--the 
termination of over 3,600 contracts and the cancellation of nearly a 
thousand employee trainings--are rooted in sound policy and the rule of 
law, or in a politically motivated purge that has left this nation's 
agriculture and food supply more vulnerable.
    The Secretary has made ``merit'' her North Star. Yet, she has done 
so while ignoring the legal definition of merit that has governed our 
civil service for nearly half a century--the Merit System Principles, 
codified at 5 U.S.C.  2301. These principles were not designed to be 
``woke''; they were designed to prevent the very thing we are 
witnessing: the replacement of a professional, experienced civil 
service with one based on political loyalty.
    If Congress does nothing, a dangerous precedent will be set. An 
agency head will be allowed to disregard binding legal frameworks like 
the Civil Rights Act of 1964 based on a secret, unwritten definition of 
what they find politically objectionable. This is not oversight; it is 
an assault on the rule of law itself.
    I have significant concerns that I hope to address today. The 
Secretary's crusade has been waged without providing this Committee, or 
the American public, with a single, consistent definition of the ``woke 
DEI initiatives'' she is so determined to eliminate. Agency action 
cannot be arbitrary and capricious.
    We will ask the Secretary to define her terms. We will ask how 
eliminating training on preventing sexual harassment makes our food 
safer. And we will ask if her own appointment meets the rigorous 
standards of ``merit'' she seeks to impose on others, especially when 
compared to the vast experience of her predecessor in this role.
    The central question today is one of staggering hypocrisy. Can a 
leader who rails against programs designed to create opportunity, while 
seemingly being the beneficiary of a system that prizes political 
connection over proven experience, be trusted to lead with integrity?
    This is not an academic debate. This is about our nation's ability 
to function. It's about the stability of the agency that ensures the 
food on our tables is safe. It's about whether we will honor the legacy 
of cases like Pigford v. Glickman and ensure the USDA serves all 
farmers, not just a select few.
    We have an opportunity to get answers today. The American people 
deserve to know if their Department of Agriculture is being led based 
on evidence and law, or on political whim and prejudice.
    Thank you, and I yield back.

    The Chairman. I am pleased to welcome to the Committee our 
witness for today, USDA Secretary Brooke Rollins. Madam 
Secretary, thank you for joining us, and we are now going to 
proceed to your testimony. You will have 5 minutes. Thank you 
for your written testimony that you have submitted. All of our 
Members have a copy of that written testimony. The timer in 
front of you will count down to zero, at which point your time 
has expired.
    Secretary Rollins, please begin when you are ready.

STATEMENT OF HON. BROOKE ROLLINS, SECRETARY, U.S. DEPARTMENT OF 
                 AGRICULTURE, WASHINGTON, D.C.

    Secretary Rollins. Well, thank you, Chairman Thompson, 
Ranking Member Craig, and distinguished Members of this 
Committee. I appreciate the opportunity to be here today to 
highlight what the U.S. Department of Agriculture has 
accomplished since the start of our new Administration just a 
short few months ago.
    Under the Trump Administration, the hardworking Americans 
who feed, fuel, and clothe our nation and the world are at the 
center of everything we do at USDA. Our USDA is putting farmers 
first and taking bold action every single day. The following is 
a quick list of just a few of those highlights over the last 
118 days.
    First, tackling the avian bird flu outbreak and lowering 
the price of wholesale eggs by more than 65 percent, with 
retail prices following at 25 percent and gaining every week.
    Second, taking action to respond to foreign disease 
outbreaks like the New World screwworm because food security is 
national security. I am sure we will get into that today.
    Third, we have kicked off a comprehensive effort to 
identify and to rectify politically motivated lawfare 
originating and against our family farms, such as the Maude 
family of South Dakota.
    Fourth, we are streamlining unnecessary regulations and 
cutting red tape for poultry farmers and other producers, for 
example, by extending line speed waivers and removing 
duplicative data collection.
    Number five, USDA moved out the Emergency Commodity 
Assistance Program in record time, and a lot of leadership in 
this Committee to get that money there, and aid, have already 
sent out aid to more than 500,000 farmers in just the last 8 
weeks, with a total of over $7.7 billion out the door to date. 
Additionally, we have issued $1 billion of the emergency 
livestock relief to date and are on track to meet our deadlines 
for the remaining Congressionally authorized disaster programs, 
which are so important, especially since the farm bill was not 
done in the last few years.
    Number six, in the Oval Office yesterday, talking with 
President Trump and the media about the increase of 
productivity and production in our timber industry after being 
decimated over the last few years.
    Seventh, opening up five markets around the world in 
certain parts of the world where new markets have been open and 
our products have moved in, great American farm products.
    And finally, continuing to address waste, fraud, and abuse 
in SNAP and, frankly, all USDA programs that have long 
neglected to put our farmers first. This includes a review of 
thousands, tens of thousands of contracts, grants, employee 
trainings, and DEI programs, resulting in over a savings of 
$5.5 billion.
    Now, let me expand on just a few of those in my remaining 2 
minutes and 11 seconds. My team and I are regularly meeting, as 
I mentioned, with foreign partners, expanding markets around 
the world, promoting agricultural products, which are the best. 
I have already traveled to the UK and to Italy. I am soon to 
leave for Vietnam, Japan, and India, and after that going to 
South America. We are working as hard as we possibly can, 
pushing these aggressive trade deals to put our American 
farmers and producers first.
    In this Administration, it doesn't take more taxpayer 
dollars to boost timber production, to unleash American energy 
dominance, and to balance unfair trade commitments around the 
world. It just takes a President who can harness the strength 
and ingenuity of the American people.
    There is still much work to be done as we realign the 
American and world economy at the service of the American 
people and the American farmer. We are leaving no stone 
unturned as we evaluate the effectiveness of all of our 
programs, and I thank each one of you on both sides of the 
aisle for your collaboration in that effort.
    We are also at a pivotal moment where we can safeguard our 
country from fiscal ruin, and I applaud the steps this 
Committee took, sir, on passing the One Big Beautiful Bill and 
all of the work that that took. This bill leverages a once-in-
a-generation opportunity, and specifically for our farmers, 
increasing $3.8 billion in income projected, protecting over 
two million of our family farms from the death tax, and cutting 
more than $10 billion in taxes, again, just in our agricultural 
community.
    As the 33rd Secretary of Agriculture, I have the profound 
privilege of seeing firsthand how our nation's farmers serve as 
the very heartbeat of this country. Their unwavering dedication 
and resilience are not merely testaments to hard work, they 
form the bedrock that upholds our national security, 
revitalizes our rural communities, and preserves our cherished 
traditions.
    Our farmers and ranchers do not rest, and neither do we at 
the USDA. I am proud to be at the helm of Abraham Lincoln's 
``People's Department.'' I am proud to be at the table with 
President Donald Trump and fighting for the very foundation of 
our American way of life.
    Thank you, and I look forward to today's discussion.
    [The prepared statement of Secretary Rollins follows:]

 Prepared Statement of Hon. Brooke Rollins, Secretary, U.S. Department 
                    of Agriculture, Washington, D.C.
    Chairman Thompson, Ranking Member Craig, and distinguished Members 
of this Committee, I appreciate the opportunity to appear before you to 
highlight what the U.S. Department of Agriculture (USDA) has 
accomplished since the start of the new Administration. President 
Donald J. Trump said it best in his proclamation on National 
Agriculture Day: ``From the earliest days of our Republic, our farmers 
and agricultural communities have been the source of American success--
enduring the elements and defying hard conditions to cultivate our land 
and feed the people. Farming is indelibly engrained in our history, 
customs, and culture, and stands to this day as the bedrock of our 
economy and way of life.'' As the 33rd Secretary of Agriculture, I have 
the profound privilege of seeing firsthand how our nation's farmers 
serve as the very heartbeat of America. Their unwavering dedication and 
resilience are not merely testaments to hard work; they form the 
bedrock that upholds our food security, revitalizes rural communities, 
and preserves cherished traditions.
    The People's Department is supposed to be the forefront of 
agriculture, natural resources, rural development, food, and nutrition. 
We should help shepherd public policy guided by the best available 
science, laws passed by Congress, and the input of experts across this 
great nation--especially those who tend our lands and livestock. 
However, for too long, the hardworking Americans who feed, fuel, and 
clothe the world have been sidelined in this mission. That changed 
January 20. The President and I share the same goal of making 
agriculture great again, and I personally have and will continue to 
ensure farmers, ranchers, and the constituencies of the USDA have a 
strong voice in the White House and around the world.
    I'd like to start with a short list of what we have accomplished 
before going into greater detail.

  1.  Supported American poultry and egg producers, addressed the avian 
            flu,\1\ and lowered the cost of eggs for consumers.
---------------------------------------------------------------------------
    \1\ https://www.usda.gov/about-usda/news/press-releases/2025/03/20/
usda-update-progress-five-pronged-strategy-combat-avian-flu-and-lower-
egg-prices.

  2.  Taken bold action to respond to foreign disease outbreaks like 
            New World screwworm \2\ to strengthen the domestic food 
            supply, because food security is national security.
---------------------------------------------------------------------------
    \2\ https://www.usda.gov/about-usda/news/press-releases/2025/05/27/
update-usda-efforts-fight-new-world-screwworm-mexico.

  3.  Launched a new web portal \3\ for potential victims of ongoing 
            lawfare originating under the Biden Administration to 
            submit their concerns and experiences.
---------------------------------------------------------------------------
    \3\ https://www.usda.gov/about-usda/news/press-releases/2025/04/30/
secretary-rollins-hosts-maude-family-washington-after-us-government-
dropped-lawfare-case.

  4.  Fought for fair trade for all American farmers and ranchers \4\ 
            by tackling trade barriers, visited two countries with 
            plans to visit five more before September 30 to both expand 
            market access and support the Trump Administration's trade 
            agenda.
---------------------------------------------------------------------------
    \4\ https://www.usda.gov/about-usda/news/press-releases/2025/04/02/
usda-announces-agricultural-trade-promotion-programs-fy-2026.

  5.  Unleashed American energy dominance \5\ through expanded access 
            to mining and drillingon Federal land and releasing a 
            biofuels incentive program \6\ to help fuel America.
---------------------------------------------------------------------------
    \5\ https://www.usda.gov/about-usda/news/press-releases/2025/03/25/
usda-delivers-rural-energy-commitments-provides-path-applicants-
support-us-energy-independence.
    \6\ https://www.usda.gov/about-usda/news/press-releases/2025/03/31/
usda-delivers-rural-energy-commitments-strengthens-us-energy-security-
and-increases-american-grown.

  6.  Streamlined unnecessary regulations and cutting red tape for 
            agricultural producers. This work included sweeping reforms 
            to boost timber production, streamline pork and poultry 
            processing,\7\ and reduce wildfire risk through public-
            private partnerships.\8\
---------------------------------------------------------------------------
    \7\ https://www.usda.gov/about-usda/news/press-releases/2025/04/04/
secretary-rollins-announces-sweeping-reforms-protect-national-forests-
and-boost-domestic-timber.
    \8\ https://www.usda.gov/about-usda/news/press-releases/2025/02/26/
secretary-rollins-initiates-new-public-private-partnership-reduce-
wildfire-risk.

  7.  Signed a joint memo \9\ with Secretary Burgum on wildfire 
            preparedness, ensuring our two Departments are working in 
            close coordination this fire season.
---------------------------------------------------------------------------
    \9\ https://www.usda.gov/about-usda/news/press-releases/2025/05/20/
secretary-rollins-and-secretary-burgum-sign-joint-fire-memo-ahead-peak-
fire-season-receive-fire.

  8.  Deployed resources to assist \10\ the wildfire response in 
            Canada.
---------------------------------------------------------------------------
    \10\ https://www.usda.gov/about-usda/news/press-releases/2025/05/
31/usda-sends-fire-resources-assist-canada-wildfire-response.

  9.  Approved a variety of Congressionally authorized fund 
            distributions to support communities affected by wind 
            storms, drought, and disasters in the agricultural sector--
---------------------------------------------------------------------------
            at record speed.

  10. Sought and addressed waste, fraud, and abuse in all USDA 
            programs, including, SNAPfraud,\11\ and woke programs \12\ 
            that have long not put Farmers First.
---------------------------------------------------------------------------
    \11\ https://www.usda.gov/about-usda/news/press-releases/2025/04/
24/usda-ensures-illegal-aliens-do-not-receive-federal-benefits.
    \12\ https://www.usda.gov/about-usda/news/press-releases/2025/02/
20/secretary-rollins-releases-first-tranche-funding-under-review.

  11. Reviewed thousands of contracts, grants, and employee trainings 
            and DEI programs resulting in terminations totaling over 
            $5.5 billion to date. USDA also identified and canceled 
            nearly 1,000 employee trainings, more than 750 of which 
---------------------------------------------------------------------------
            focused on DEI alone.

  12. Led major steps to Make America Healthy Again \13\ (MAHA) through 
            prioritizing health in SNAP.\14\ Over the last few weeks, I 
            have signed the first food restriction waivers \15\ 
            submitted by innovative governors in Nebraska, Iowa, and 
            Indiana. Each waiver restricts unhealthy foods from SNAP 
            and respect the generosity of the American taxpayer. The 
            MAHA movement at USDA has also supported the food 
            industry's voluntary changes \16\ to make food healthier.
---------------------------------------------------------------------------
    \13\ https://www.usda.gov/about-usda/news/press-releases/2025/04/
04/hhs-and-usda-hold-first-public-maha-event-outline-vision-healthier-
america.
    \14\ https://www.usda.gov/about-usda/news/press-releases/2025/04/
15/rollins-applauds-arkansas-governor-submitting-snap-waiver-make-
america-healthy-again.
    \15\ https://www.usda.gov/about-usda/news/press-releases/2025/05/
23/secretary-rollins-approves-state-waivers-make-america-healthy-again-
removing-unhealthy-foods-snap.
    \16\ https://www.usda.gov/about-usda/news/press-releases/2025/04/
22/secretary-rollins-applauds-dairy-industry-voluntarily-removing-
artificial-colors-national-school.

  13. Took leadership to make rural America \17\ prosper again by 
            reducing regulations and revitalizing communities.
---------------------------------------------------------------------------
    \17\ https://www.usda.gov/about-usda/news/press-releases/2025/03/
04/secretary-rollins-previews-her-vision-restoring-rural-prosperity.

    While USDA is taking bold action, I must also make note that we are 
at a pivotal moment where we can safeguard our country from fiscal ruin 
and I applaud the steps this Committee has taken in passing H.R. 1, the 
One Big Beautiful Bill Act. It is a once-in-a-generation opportunity to 
cut spending, fuel growth, and level the fiscal footing of the American 
economy. This is in addition to much needed funding this Committee 
provides for agricultural producers alongside reforms to cut waste, 
fraud, and abuse in USDA programs--saving billions of dollars. USDA is 
also doing its part to help return to greatness by eliminating wasteful 
spending, promoting efficiencies, cutting regulatory red tape, and 
shifting our mission towards expanding market opportunities for 
farmers, rather than promoting programs that merely cater to special 
interests of Washington D.C. bureaucrats who have never set foot in a 
field or pasture.
    Expanding on the above-mentioned actions, one of the most important 
things we can do to help our nation's producers is to expand new 
markets. After 4 years of inaction by the Biden Administration, which 
caused America's agricultural trade balance to go from a surplus under 
President Trump's first term to a significant deficit under President 
Biden, USDA has now made it a top priority to advocate on behalf of 
American agriculture on the world stage. Last month, I visited the 
United Kingdom after President Trump announced a historic trade deal 
that will lower tariffs, remove trade barriers, increase market access, 
and strengthen cooperation on economic security. Seeing the UK is the 
United States' fourteenth largest agricultural export market, this deal 
can address disproportionately high tariffs, small tariff-rate quota 
volumes, and unjustified non-tariff barriers.
    Additionally, we've recently negotiated a new streamlined facility 
registration process for U.S. dairy products bound for Costa Rica 
providing increased access to a $130 million market. Panama partially 
opened its pork import quota mechanism, which will allow an estimated 
additional $30 million in U.S. pork product exports. South Africa 
restored market access for U.S. microwave popcorn shipments, valued at 
$2 to $3 million. USDA conducted two trade missions to Thailand and 
Guatemala, and hosted USA Pavilions at six global trade shows with a 
combined total of $282 million in projected exports. In the last 2 
months, USDA's Foreign Agricultural Service has worked with India to 
reduce India's tariff on U.S. Bourbon imports by 50 percent, resulting 
in a likely $2 million increase in distilled spirits exports to India 
in 2025. We worked with Japan to lift the mandatory aflatoxin testing 
requirements on U.S. almonds, resulting in a likely eight to ten 
percent increase of U.S. almond exports to Japan annually.
    In April, USDA launched agricultural trade promotion programs for 
Fiscal Year 2026 and is accepting applications for four export market 
development programs. These programs historically total over $250 
million annually. I also plan to travel to India, Vietnam, Japan, Peru, 
and Brazil over the next 4 months. Together with the U.S. Trade 
Representative, and the consummate dealmaking of President Trump, we 
will build new markets, expand current markets, and hold existing 
trading partners accountable to ensure trade is fair and reciprocal and 
that the competitive position of U.S. agriculture reaches new heights.
    Just as important as expanding export markets is protecting the 
United States from foreign animal disease including combating highly-
pathogenic avian influenza (HPAI). I understand the importance of 
animal health issues and the effects they have not just on ranchers and 
producers, but also on trade and the prices for everyday consumers. 
Since my first day, I have been intensely focused on tackling the avian 
influenza crisis, and after USDA's announcement of our five-pronged 
plan to curb avian influenza, I am happy to report that as of today, 
wholesale egg prices have dropped sixty five percent since February 28.
    Even though much of the public attention has been on avian 
influenza, we are also working around the clock to address New World 
screwworm. This pest feeds on livestock and could create an economic 
impact of well over a billion dollars if it enters through our southern 
border. I am in consistent communication with my counterpart in Mexico 
to contain the threat south of the U.S. border. Our goal is to push 
this pest back to the Darien Gap in Panama, and USDA is working daily 
with Mexico to make sure the resources, tactics, and tools are in place 
to do just that. Additionally, USDA recently announced a $21 million 
dollar investment to renovate an existing fruit fly production facility 
in Metapa, Mexico to further that long-term goal. Once operational, 
this facility will produce 60-100 million additional sterile NWS flies 
weekly to help push the population further south. Given the geographic 
spread of NWS, this additional production capacity will be critical to 
our response. Furthermore, we are still exploring many other options 
including domestic facilities to produce sterile flies. In the 
meantime, current restrictions on live animal imports from Mexico 
remain in place, and as previously announced, USDA will continue to 
evaluate the current suspension every thirty days.
    While the threat of foreign animal disease is top of mind for many 
livestock producers, the state of the farm economy is important to all 
rural America. As goes agriculture, so goes rural main streets across 
the country. That's why, upon my confirmation, crafting and 
implementing the Congressionally directed Emergency Commodity 
Assistance Program (ECAP) was preeminently important. On March 19, we 
issued $10 billion in economic assistance for farmers and ranchers 
through ECAP. The program has been extremely efficient, paying farmers, 
on average, within 3 business days of an application submission. A note 
of thanks to all of you for your unwavering support for producers in 
times of economic crisis by passing that important legislation. USDA 
continues to work diligently to deliver Supplemental Disaster Relief, 
over $20 billion. Earlier last month USDA released our projected 
timeline for development and delivery of each of the components that 
comprise the full suite of Supplemental Disaster Assistance for 
agricultural producers. On May 29, USDA released the Emergency 
Livestock Relief Program (ELRP) payments to cover grazing losses due to 
eligible drought or wildfire events in 2023 and 2024. Those emergency 
relief payments are automatically issued for producers who have an 
approved Livestock Forage Disaster Program (LFP) application on file 
for 2023 and 2024 thus producers do not have to contact USDA to receive 
payments. On April 22, USDA dispersed $340 million through the Rural 
Development Disaster Assistance Fund across thirty-one states to 
deliver relief to farmers, ranchers and rural communities impacted by 
natural disasters such as hurricanes and wildfires that have caused 
devastation across the country.
    Part of making American agriculture more prosperous in a time of 
economic hardship is eliminating the regulatory burdens that hinder its 
growth. Under President Trump's leadership, we are streamlining 
unnecessary regulations and cutting red tape for agricultural 
producers, and other industries under the USDA purview, to allow them 
to feed, fuel, and clothe the world. This includes making sweeping 
reforms to protect national forests and boost domestic timber 
production, ending regulations that have stifled energy and mineral 
development on Federal lands so we may reaffirm America's role as a 
global energy powerhouse, and reducing wildfire risk through public-
private partnerships and many other actions. I have been fortunate to 
spend time with our wildland firefighters to thank them for their 
heroic service. I value their perspectives and feedback, and I am proud 
of the work they do to save lives and protect our beautiful homeland. 
We will continue to execute President Trump's agenda to make America's 
forests healthy and productive again.
    In March, I announced new action to reduce burdens on the U.S. pork 
and poultry industries, allowing for greater efficiency while 
maintaining food safety standards. We are extending waivers allowing 
existing establishments to maintain higher line speeds and are moving 
towards rulemaking to make these standards permanent for more pork and 
poultry plants. We have also withdrawn overly burdensome proposals 
related to Salmonella in poultry as we reconsider more effective ways 
to achieve public health objectives. These reforms will strengthen U.S. 
food production, reduce costs for producers, and support a more 
resilient supply chain--all without compromising food safety.
    Finally, a major part of my role is overseeing the Department's 
sixteen nutrition programs, on which USDA spends approximately $400 
million a day. While these programs are critical, the American taxpayer 
expects their generosity to be valued and for programs to be executed 
with integrity and accountability. With this in mind, upon my swearing 
in, I sent a letter to states and Tribal, Territory, and local 
government partners noting a suite of guiding principles, each of which 
can serve as catalysts for change, allowing the Department--and the 
American taxpayer--to better serve vulnerable families and communities. 
One of the guiding principles outlined in the letter is to make it 
clear to states that they must ensure Supplemental Nutrition Assistance 
Program (SNAP) benefits are provided with clear expectations that those 
who can work, do. It is important to remind states that under current 
law Congress conditioned the receipt of benefits by able-bodied adults 
without dependents on satisfying work requirements. Many states 
continue to abuse the system by requesting work requirement waivers 
despite a national unemployment rate of 4.2% in April 2025. I applaud 
this Committee for also prioritizing employment and look forward to our 
continued partnership to get able-bodied adults off the sidelines and 
into the world of work.
    Equally important is making certain nutrition benefits are 
preserved for those legally in our great country. The Department has 
reminded all state agencies to enhance identity and immigration 
verification when determining eligibility for programs like SNAP. A 
recent Government Accountability Office (GAO) report indicated a 
staggering $10.5 billion in improper SNAP payments were made in Fiscal 
Year 2023 alone. This was about twelve percent of total SNAP payments 
that year, nearly $30 million per day. The inadequate verification of 
an applicant's identity and citizenship by states is specifically 
highlighted as contributing to the improper payments of SNAP funds.
    American agriculture began 4 centuries ago, when neighbors born 
across an ocean came together in a New World to clear fields, build 
homes, and plant crops on the edge of wilderness. That same spirit 
animates us now. Our farmers who tend the fields do not rest from their 
labor--neither do our ranchers and livestock producers who steward 
their lands, herds, and flocks--and neither do the American mothers and 
fathers who rely upon American agriculture to feed their families. 
American agriculture does not rest--and neither will we at USDA. I'm 
proud to be at the helm of the People's Department, at the table with 
President Trump, and fighting for the most American of industries--
agriculture.

    The Chairman. Thank you for your important testimony today, 
Secretary.
    At this time, Members will be recognized for questions in 
order of seniority, alternating between Majority and Minority 
Members and in order of arrival for those who joined us after 
the hearing convened. You will be recognized for 5 minutes each 
in order to allow us to get to as many questions as possible, 
and I recognize myself for 5 minutes of questions.
    Madam Secretary, I would like to talk with you about an 
issue that poses an imminent threat to the pork industry and 
livestock production overall. State mandates like California's 
Proposition 12 are misguided, not based in sound science, and 
create arbitrary production standards for pork producers.
    In addition to being burdensome for producers, the final 
pork product is also more expensive for consumers. Pork prices 
in California have risen 20 percent on average since the 
implementation of Prop 12, and the cost of constructing Prop 
12-compliant barns are estimated to be at least $3,400 to 
$4,000 per sow. With costs like these, neither the producer or 
the consumer are winning.
    As we all know, the Supreme Court has weighed in on this 
matter and asked Congress to act. We attempted to do so in the 
Farm, Food, and National Security Act of 2024 (H.R. 8467, 118th 
Congress). The language we included would ensure that livestock 
producers only have to abide by production standards in the 
state in which they reside, protecting both the rights of an 
individual producer and states' rights.
    I know you understand this issue well. Can you talk about 
the negative impact that state mandates like Prop 12 have had 
on the pork industry and the dangerous precedent it sets for 
all livestock production? And what is the risk for both 
producers and consumers if we do not act?
    Secretary Rollins. Well, thank you, Mr. Chairman. That is a 
really important question. It is one that came up a lot in my 
confirmation process on the Senate side of the House. And one 
thing I will note is that no one is more of a believer in 
Federalism and the Tenth Amendment and our Founders' vision of 
the states' rights to be able to be their own laboratories of 
innovation. So I will say that first.
    But second, when those ideas and those rules and those laws 
begin to impact other states in such a negative way, that is 
not what our Founders intended. That is not constitutional, and 
it is not okay. The extreme impact of Prop 12, especially on 
our pork producers, I believe this is a bipartisan question. We 
may not all agree in this room, but I think most agree, even on 
the Democratic side of the House, that it cannot stand. So I 
stand in full support of your effort.
    We are also looking at things we could potentially do at 
the Department to mitigate for some of the consequences of this 
rule that, again, California has the right to do what 
California wants to do. But the minute that crosses the border 
and begins to, again, compromise in such a significant way our 
pork producers, we need to act.
    The Chairman. Well, thank you, Secretary. I would like to 
turn to a topic that is of increasing concern for our 
producers, and that is the availability of agricultural labor. 
Last Congress, the Committee convened the Agricultural Labor 
Working Group, led by co-chairs Rick Crawford and Don Davis, 
and they are working on turning their bipartisan 
recommendations into legislation, but a legislative solution 
will not address the immediate needs of the industry.
    I was encouraged by President Trump's comments at the April 
10 Cabinet meeting where he said he would work with the 
agriculture industry and alluded to a process by which there 
would be some sort of flexibility provided to farmers and a new 
process to allow undocumented workers and their jobs to come 
back in legally. However, recent enforcement actions have begun 
to impact and even target agricultural operations, and yet 
there is still a lack of clarity for producers.
    As I am sure you know, these employers have a limited 
ability to question an employee's documentation and are unaware 
of any issues with their status until an I-9 audit is 
conducted. What, if anything, are you, Secretary Chavez-
DeRemer, and Secretary Noem doing to follow through on the 
President's comments and making sure that enforcement is not 
impacting food security, which I think we both agree is a 
matter of national security?
    Secretary Rollins. No, that is right, sir. And in fact, I 
was with the President yesterday in the Oval Office. I spoke 
with him again this morning. This was one of the issues that we 
spoke about. This President's commitment to ensuring that all 
laws are followed remains paramount, but also combining that 
with understanding the significant challenges to our ag 
producers in finding the labor that is necessary to produce, 
not only for their farms to be able to basically stay in 
business, but also, to your point, this is much bigger than 
that. This is a national security issue. And the moment that 
America is not able to feed ourselves any longer, that is the 
moment that we are no longer the superpower, the preeminent 
superpower in the world. So that is how very seriously I take 
this.
    As you mentioned, on April 10 at our Cabinet meeting, the 
President himself brought this issue up and specifically 
directed Secretary Chavez-DeRemer, who herself is from a 
farming background, who is our Labor Secretary, along with 
myself and Secretary Noem, our DHS Secretary, who also is from 
a farming and ranching background, to ensure that we are doing 
everything we can to make sure that these farmers and ranchers 
have the labor that they need.
    So the President is hyper-focused on that, understanding 
the challenges currently at hand, but please know that we are 
in constant daily communication about how to solve for that 
quickly, while also working in partnership with this Committee. 
And, Mr. Chairman, your leadership on this has been really, 
really important, as have so many sitting in the room today.
    The Chairman. Thank you, Secretary. My time has expired.
    And I will recognize the gentlelady from Minnesota, the 
Ranking Member, for 5 minutes.
    Ms. Craig. Thank you so much.
    Over the past several months, I have met dozens of family 
farmers and producers across this country. They have 
represented operations of all different types and sizes. 
Despite their many differences, there was a common theme 
between all these meetings, the lack of certainty. Every 
farmer, grower, rancher, and producer has said that they need 
more certainty. And despite this Administration's promise to 
put farmers first, we have seen that many of the actions are 
actually harming them.
    We have seen trade wars increase instability in farm 
country and surrender market access to our competitors, like 
Brazil. We have seen USDA programs that farmers rely on for 
income frozen or eliminated with little to no explanation. And 
on the ground in districts like mine, local FSA, NRCS, and 
Forest Service staff are being let go. Wait-lists are getting 
longer, and fewer USDA staff are available to help family 
farmers navigate the agency's incredibly popular and impactful 
programs. And the Administration wants to gut a title of the 
farm bill in reconciliation.
    I have three questions, so I may have to reclaim my time 
during some of your answers because I want to make sure to get 
to all of them. Let me start by asking about the agency, Madam 
Secretary. Before the Department moved forward with its layoffs 
restructuring plan, did the Department carefully analyze what 
these folks did and the impact these cuts would have on farm 
country?
    Secretary Rollins. Well, thank you, ma'am, and certainly 
had a great visit to your state, Sugar Beet Farm, recently.
    The bottom line is this, that no one has been fired. There 
were 15,000 USDA employees who took the resignation, the 
deferred resignation, but no one was fired, so I think that is 
really important. In a normal year, Madam, we will have 8,000 
to 10,000 attrition rates. So while I think there is a big 
narrative about how these important people have been fired, 
that was not the case.
    What we have done, and yes, to answer your question, is a 
very careful review. Yesterday in the Oval Office we talked 
about our wildland firefighters. They are at 96 percent full, 
meaning we are ahead of where the Joe Biden USDA was last year 
at this time to prepare for wildfire season.
    To your point on the FSA offices, what I have asked every 
Member to do--and I know you have my cell phone. I welcome 
every Member, Republican or Democratic, to call me directly 
with specific examples, and we can get on that right away 
because that forward-facing part of USDA with our rural 
communities and with our farmers is a priority to me.
    Ms. Craig. Thank you.
    Secretary Rollins. So if you could help us solve for that I 
would appreciate that.
    Ms. Craig. Thank you. I am going to go to my second 
question. Thank you so much. Look, just to be clear, if you had 
reviewed this, you would have made sure that folks who are 
trying to stop bird flu in our country weren't allowed to 
retire. In fact, I ran a big business for a lot of years before 
I came to Congress, and voluntary retirements, often, exactly 
the wrong people retire. That is why you make a more thorough 
review of these things before you just say everybody who wants 
to retire, retire.
    But nonetheless, let's go on to trade. Forty percent of my 
district is covered in corn and soy every summer. Since we are 
losing market access in China, what markets are you targeting 
to help U.S. soy producers compensate for the market access 
that they have lost?
    Secretary Rollins. Yes, I appreciate that question. And I 
know in your comments you mentioned the farmers in trade and 
the uncertainty, and we certainly realize that. We are very 
aggressively, specifically on our row croppers, but to soy, for 
example, really working to expand the markets. Last week, I was 
in Italy. Interestingly, Italy, of course, the Government of 
Giorgia Meloni is very aligned with President Trump. They are 
very open. But Italy, again, as an example, imports about $75 
billion in agriculture products. Only $1.7 billion comes from 
our American farmers and ranchers, and this is one of our best 
friends around the world.
    So we had great conversations, specific to soy, on how we 
get--which is the number one import but not nearly enough--how 
we get more of that into Italy, into the EU, into Japan, into 
India, into Vietnam----
    Ms. Craig. Madam Secretary, I am sorry, I have 40 seconds.
    Secretary Rollins.--and we will continue to do that.
    Ms. Craig. I am going to reclaim my time.
    Secretary Rollins. Yes, ma'am.
    Ms. Craig. China represents 50 percent of the U.S. soybean 
market. I am not going to ask, but I believe it would have been 
a better strategy to go get these markets before you do an 
across-the-board trade war that decimates 50 percent of the 
market.
    Secretary Rollins. About 1 hour ago the President announced 
a deal with China, so that is being solved.
    Ms. Craig. So that is not a question.
    And then, last question really is about HPAI. Do you 
support--look, I have a bunch of turkey growers in Minnesota. 
Don't even get me started on the MAHA report, Secretary 
Kennedy. Do you support developing a robust vaccine strategy, 
and will you commit to using vaccines to combat animal disease?
    Secretary Rollins. We are looking at all of the above. We 
have $100 million committed. We have 417 applications, Ranking 
Member Craig, that we are currently working through. Vaccines, 
therapeutics, we are looking at everything across the board.
    Ms. Craig. Thank you, and I yield back.
    The Chairman. The gentlelady's time has expired.
    I now recognize the gentleman from Oklahoma, Mr. Lucas, for 
5 minutes.
    Mr. Lucas. Thank you, Mr. Chairman.
    And Secretary Rollins, thank you for taking time to testify 
before the Committee today and discuss the issues that are 
affecting our farmers back home.
    Last week, I chaired a Subcommittee hearing to discuss 
voluntary conservation programs in the farm bill and the 
improvements Congress can make to ensure that these programs 
truly work for producers that they are intended to benefit.
    I heard from a variety of witnesses representing both 
producers and technical assistance providers, and they agreed 
with reinvesting the unobligated Inflation Reduction Act (Pub. 
L. 117-169) funds into the baseline of the farm bill without 
the climate sideboards is a necessary step to ensure that these 
programs reach more producers.
    To that end, Madam Secretary, I have heard from many of my 
producers back home that the Climate-Smart Commodities Grant 
process under the Biden Administration was confusing and left 
little room for producer choice. Can you share with the 
Committee what you are doing at USDA to revamp this program and 
to streamline the application process for producers?
    Secretary Rollins. Yes, sir. Thank you. That remains a top 
priority for us. We have already made announcements on how to 
make it easier, cleaner, and better, and to put our producers 
first. We have asked several applicants to reapply based on 
that as a priority in driving that forward. If you hear 
anything different, Congressman, please let us know. It is 
those anecdotes that help us get better. But yes, sir, we are 
solving for that every day at USDA.
    Mr. Lucas. It sounds like the Advancing Markets for 
Producers Initiative is focused on making sure producers come 
first and that USDA is a partner alongside producers rather 
than a dictator. Does that sound like an accurate assessment of 
what you and the Department are attempting to do?
    Secretary Rollins. That is accurate. We have asked people 
to reapply if and when they have at least 65 percent of their 
application focused on producers.
    Mr. Lucas. In my remaining time, I wanted to take a moment 
to thank you for the Emergency Livestock Relief Program funds 
that went out the door last month. Oklahoma has experienced 
several severe fires in recent years that have impacted 
hundreds of producers across the state. And under the Biden 
Administration, it took an average of 13 months for disaster 
funds to reach producers.
    However, Congress passed the American Relief Act of 2025 
(Pub. L. 118-158) in December, and producers have received ELRP 
assistance in May. That is a significant improvement, and I 
know my constituents are grateful. Madam Secretary, have you 
received any immediate feedback on the rollout of these funds?
    Secretary Rollins. We have been so grateful--realizing it 
is imperfect, but we have been so grateful at the response. I 
just want to say this morning at 6:00 a.m., I was on a 
conference call with the team talking about the next round of 
funds, 6:00 a.m. Last night at 10:30, I was on a call with a 
couple of other Congressmen talking about it. We are so 
committed to working 20 hours a day, sometimes more, to ensure 
that this money moves as quickly and as efficiently as 
possible. And I am really proud of the team for being able to 
execute on that. And by the way, these are both politicals and 
careers, which I just want to lift up.
    Mr. Lucas. And I want to thank you for increasing funding 
to reimburse states for food safety inspections. Oklahoma 
administers top-notch food safety inspections, and I know my 
constituents back home view it as a great example of the 
Federal Government working in tandem with the state. Madam 
Secretary, what additional steps do you think Congress needs to 
take to ensure that state food inspection programs run smoothly 
and that the funds USDA released are--and of course, the funds 
are greatly appreciated, but there is a role here in Congress 
to ensure the longevity of cooperative partnerships and state 
programs.
    Secretary Rollins. I think that it continues to be of 
paramount importance, especially, as I mentioned in my opening 
remarks, I think as Ranking Member Craig mentioned, I think as 
Chairman Thompson mentioned, that food security is national 
security. And just last week, if you weren't tracking, we 
arrested someone that potentially had come in across the 
borders with some agroterrorism products that could potentially 
have really disrupted our food supply. So the food safety 
inspection system specific to the states continues to be a 
priority.
    And again, anecdotally, if you see something different or 
have suggestions, please let me know, top of the list for us.
    Mr. Lucas. And my last thought is thank you for the very 
aggressive approach on the screwworm flies.
    Secretary Rollins. Yes.
    Mr. Lucas. Being a livestock producer in Oklahoma, not that 
far from your stomping grounds, we are really close to the 
problem right now.
    Secretary Rollins. We are really close. I will be making a 
major announcement next week on the very next step, which will 
be probably more aggressive than anyone in recent history on 
the New World screwworm. And I think you and hopefully the 
entire Committee will be very pleased.
    Mr. Lucas. I and my constituents say thank you.
    I yield back, Mr. Chairman.
    Secretary Rollins. Thank you, sir.
    The Chairman. The gentleman yields back.
    I now recognize Mr. David Scott from Georgia for 5 minutes.
    Mr. David Scott of Georgia. Thank you, Mr. Chairman.
    Madam Secretary, you have advocated stopping the funding 
going to the 1890s African American colleges and universities. 
Do you realize the damage, backwardness, and evil that you have 
done?
    Secretary Rollins. Well, first of all, your premise is 
completely wrong. In the last Administration, I was in 
President Trump's West Wing, and fully funding the HBCUs was my 
project. I stood in the Oval Office when that happened. I, to 
date, continue to be, alongside President Trump, one of the 
biggest advocates for our HBCUs and our 1890 projects, so I am 
not sure what information you have, sir, but that is definitely 
not me. And you can look at my long history of supporting those 
efforts. I think they are very important.
    Mr. David Scott of Georgia. So if I understand you 
correctly, you support this vital program?
    Secretary Rollins. Yes.
    Mr. David Scott of Georgia. You have not frozen or 
advocated freezing the money?
    Secretary Rollins. No.
    Mr. David Scott of Georgia. You are full steam ahead?
    Secretary Rollins. Full steam ahead. Now, we are looking at 
every program at USDA, so as part of the larger effort to 
analyze and evaluate, yes. But no, our support is paramount for 
those projects. The President has been unequivocal in his 
support, and we will continue in that direction.
    Mr. David Scott of Georgia. So in February, you did not 
advocate suspending funding for the 1890s African American 
student scholarship program?
    Secretary Rollins. Not in total, sir. It was part of the 
larger review of every program, including the farming program, 
to ensure that we were using taxpayer dollars to their highest 
and best use.
    Mr. David Scott of Georgia. Okay. The reason that I am very 
concerned about this is that this is the most significant 
bipartisan Democratic and Republican program here. Not only do 
we support it, but this Committee voted to increase the funding 
to $100 million from the $80 million that we got in the last 
farm bill. We need you to help us secure that. This is the most 
important product.
    Let me tell you why this is so important historically. 
There was a general in the Civil War that devastated the South. 
William Tecumseh Sherman went through here and devastated. But 
this same general laid out the program for revitalization of 
the South, and he went to President Lincoln and said, ``In each 
of the Confederate States, we are going to put land-grant 
colleges. It is the land. It is the economy. It is the strength 
of the South. '' And they put forward this program.
    But there was no room for the African American community 
until, in the 1890s, they brought forth the ``separate but 
equal'' doctrine. Everywhere they had put the White land-grant 
schools, they had to put the Black ones. And that is the growth 
of this.
    So I wanted to share with you the history. I am glad that 
you are on our team and helping us. This is great news. Thank 
you.
    Secretary Rollins. Sir, thank you for that. And I will say 
I am a proud graduate of Texas A&M University and spent a good 
amount of time at Prairie View A&M about 45 minutes away. I am 
really proud of that school. In fact, our Vice Chancellor of 
Texas A&M and head of the ag school, Jeff Sable, is here. He 
was my meats professor 30 years ago at Texas A&M, now running 
the whole kit and caboodle. So no, we remain very committed and 
understanding----
    Mr. David Scott of Georgia. Great. And I am a graduate of 
the great alma mater, Florida A&M University.
    Secretary Rollins. Yes, sir.
    Mr. David Scott of Georgia. I wouldn't be here if they 
didn't give me that scholarship.
    Secretary Rollins. Yes, sir.
    Mr. David Scott of Georgia. Thank you.
    Secretary Rollins. Thank you, sir.
    The Chairman. The gentleman's time has expired.
    This Penn State land-grant university graduate recognizes 
Mr. Austin Scott from Georgia for 5 minutes.
    Mr. Austin Scott of Georgia. Thank you, Mr. Chairman.
    And Madam Secretary, I appreciate your commitment to the 
1890 colleges. That is important to all of us. It has 
historically been done in a very bipartisan manner. And I might 
also mention that my colleague, David Scott, I believe you were 
in school with a Donald J. Trump at one point of your life. Is 
that correct?
    Mr. David Scott of Georgia. Yes, at the Wharton School of 
Finance, and he helped to get that scholarship program. It was 
under his Administration that we passed it.
    Mr. Austin Scott of Georgia. Yes, sir.
    Secretary Rollins. He is very committed.
    Mr. Austin Scott of Georgia. All right. I want to bring 
this up, Madam Secretary, and I am asking for your help with 
this. And what I am asking for is transparency in this. And so 
you will recall that in the American Rescue Plan (Pub. L. 117-
2), there was $3 billion that was put in for people. And if you 
owed any money to the USDA, you were going to receive 120 
percent of whatever your loan balance was. There was one race 
that was excluded from that payment. The courts ruled that it 
was unconstitutional, that you could not discriminate and 
exclude a race from those payments. That money was--I think it 
was four out of four Federal judges said you could not exclude 
based on race.
    So that same money was then transferred into the Inflation 
Reduction Act. And in the Inflation Reduction Act, they did two 
things. One of them was the Farm Loan Borrower's Relief 
Program, and basically how any loan who was more than 60 days 
late got brought current. So if you were 5 years late on your 
farm payment, you got 5 years' worth of payments, plus the next 
payment made. Now, if you cashed in your retirement plan to 
make your farm payment, you didn't get anything. But anyway, 
they brought those loans current and plus 60 days.
    And my understanding is there is questions around the 1099. 
It is clearly taxable income since there was not a bankruptcy, 
and I just want to make sure that we are working with the IRS. 
My understanding is two separate 1099s may have been issued on 
that, and making sure that that is taxable income by law.
    But then there was about $2.2 billion that was paid out, 
and they were discrimination payments. Over 40 percent of those 
payments went to people who had never farmed, and they ranged 
between $5 and $500,000 in the payments. And my understanding 
is a third-party vendor was used to make the determination of 
discrimination or not discriminated against, and that third-
party vendor no longer exists, nor did they exist prior to the 
program being put in. Fifty percent of the payments went to 
Alabama and Mississippi. Almost 50 percent of the payments went 
to people that never farmed.
    And I just want to make sure that we are looking into this 
and where those payments went to, who they went to, and that it 
is going to be public record who received those payments.
    And so I have met with your people. Just any comments on 
that would be appreciated. But just, again, looking for a 
commitment to continue to work to find out if there was fraud 
in those payments.
    Secretary Rollins. Congressman, what I have seen in the 
last 118 days, since I was sworn in, in mid-February has blown 
my mind. It is stunning the amount of money that was pushed out 
in the last USDA without accountability, without understanding 
of where it was going, just the pure sums are absolutely mind-
boggling. So we are working feverishly to try to get our arms 
around it, and we will continue to do so. And I would so 
welcome your partnership in that as we are moving that forward. 
But, yes, you have my 100 percent commitment.
    Mr. Austin Scott of Georgia. One hundred percent. I want to 
know who was the vendor that got paid the ten percent of that 
money. That is a lot of money that someone got paid.
    Next, can you just give us an update on the block grant 
applications process? I represent the State of Georgia. As you 
know, we were devastated by the storms. But if you could update 
us on the block grants, I would very much appreciate that.
    Secretary Rollins. Yes, sir. The block grants are moving 
forward. Georgia has been at the front of the line. They have 
been extremely efficient. Their leadership has been great, 
Tyler Harper and the whole team there. We have met with your 
team from Georgia four different times. That money is likely to 
move in the next week or 2.
    Mr. Austin Scott of Georgia. Thank you very much. And I 
look very much forward to you in making sure that there is no 
fraud or criminal activity in that other payment program.
    Secretary Rollins. Great.
    Mr. Austin Scott of Georgia. Thank you.
    Secretary Rollins. Sir, we will follow up with that. Thank 
you.
    The Chairman. The gentleman yields back.
    I now recognize the gentleman from California, Mr. Costa, 
for 5 minutes.
    Mr. Costa. Thank you very much, Mr. Chairman and the 
Ranking Member, for this important hearing. Thank you, 
Secretary Rollins, for being here. It is good to see you again 
since the swearing-in. And I want to remind you of that the 
offer I made then and still stands, would like you to come out 
to California and show you some of the most productive 
agricultural land in the country. Last year, $59.5 billion at 
the farm-gate, the largest agricultural state in the nation, 
has been for decades.
    I believe, and I think maybe there is a large consensus in 
this room, that food is a national security issue. It doesn't 
often get treated that way, but it is. I know from a lot of 
perspectives, not only the people that I represent, but I am a 
third-generation family farmer in California. And I think it is 
important to note that California has over 70,000 farms. 
Ranches are remarkably productive. Seventy percent of these 
farms are less than 100 acres. Eighty-nine percent are less 
than 500 acres, yet we produce 50 percent of the nation's 
fruits and vegetables, 80 percent of the citrus production, 20 
percent of the milk supply, and more than 400 different 
agriculture commodities. It is truly an amazing story.
    This food production goes towards supporting nearly five 
million Californians who rely on SNAP, who are food-insecure, 
as part of the 47 million Americans that also rely on SNAP as 
their food safety net. And I think we need to work together if 
we are going to get this farm bill done. That is the bottom 
line. That is what we have always done in years past. And our 
farmers and ranchers want to provide for our neighbors and 
communities, and not cut them off from the dinner table.
    That being said, Madam Secretary, I have a couple 
questions. High-path avian flu hit the entire country. In 
California, the dairy industry and the poultry industry were 
hard hit. We know it is important that we follow science. You 
said that in your testimony. I think it is important for all of 
those impacted by the avian flu that we go forward with a 
production of a vaccine, being mindful of our trading partners.
    I have a bipartisan letter here, Mr. Chairman, I would like 
to submit for the record on the high-path avian flu.
    The Chairman. Without objection.
    [The letter referred to is located on p. 106.]
    Mr. Costa. Thank you. I would like to know whether or not 
you are committed to continuing to work on a vaccination 
program for the dairy industry, Madam Secretary.
    Secretary Rollins. I am. One quick clarification to my 
friend from Georgia, the crack team behind me, Mr. Scott, we 
will be finalizing the agreement for Georgia next week. The 
money will move in July, so I just wanted to make sure to 
clarify.
    But yes, sir, we remain wholly, wholly committed to looking 
down every single path, under every single hood, doing 
everything we can on this high-path to try to contain it. It 
obviously has jumped to the dairy industry, could jump again to 
another industry. It is of paramount importance we do that.
    Mr. Costa. Well, and the possibility that it could affect 
humans is a great concern to all of us. Let me go on.
    Secretary Rollins. That is exactly right.
    Mr. Costa. Next question involves market assistance for 
specialty program crops. I have had a number of farmers in my 
area that have applied for that. There has been confusion with 
the FSA offices. They are still reaching out to determine 
whether or not the payments from the market assistance 
specialty crop program are going to take place. Could you 
comment on this?
    Secretary Rollins. I will. I want to make sure I get it 
right. So let me flip in my handy-dandy little folder here.
    We have allocated $2.65 billion to this program, so it is a 
significant priority. That is what I wanted to check.
    Mr. Costa. For the purpose of my time, why don't we follow 
through with your office on these constituents who have been 
calling my office, and we can try to resolve this problem?
    Secretary Rollins. That would be great. We would welcome 
that.
    Mr. Costa. Food for Peace has been an important bipartisan 
effort since its inception in 1954. I am very disappointed on 
what happened with USAID, and I don't know how you folks are 
going to be able to implement the responsibility as the 
President has outlined. Do you agree the program should 
continue for USDA? It not only helps people who are food-
insecure throughout the world, it helps America's view, and it 
helps American agriculture. What is your position on that?
    Secretary Rollins. Yes, well, we are reevaluating all of 
it. I will tell you that we have 14 of the Food for Progress 
projects remain active in 17 countries and funded. So the ones 
that align with the America First agenda, the ones that make 
sense to put America first and for our community, we are 
continuing those. And that is the reorganization and the 
refocus the President asked us to do, and to the American 
people.
    Mr. Costa. Well, more discussion to carry on here. Also, 
research. Research has been an important component with our 
land-grant universities. I will talk to you later and send you 
a letter, but there are important programs at USDA stations 
working together with California agriculture, and I am very 
concerned about the reduction of these research programs. They 
have done so much for so many.
    Secretary Rollins. The research programs continue to be a 
priority. What we are looking at, that the ones that aren't as 
effective, the facilities are behind, they don't make sense, it 
is a waste of taxpayer dollars. But overall, the USDA remains 
extremely committed to the important research that our land-
grants do and partake. You will see an extension and expansion 
in some of that but ensuring that it makes sense.
    The Chairman. The gentleman's time has expired.
    Mr. Costa. To be continued. Thank you, Madam Secretary.
    Secretary Rollins. Thank you so much. And look forward to 
connecting with your office specifically on the specialty 
crops.
    The Chairman. I am now pleased to recognize the gentleman 
from Tennessee, Mr. DesJarlais, for 5 minutes.
    Mr. DesJarlais. Thank you, Mr. Chairman, and thank you, 
Secretary Rollins, for being here today.
    Farmers across Tennessee and the nation want America to be 
healthy and are a critical part of the solution, but are also 
very concerned about the Make America Healthy Again 
Commission's report's potential implications on the agriculture 
industry, specifically relating to pesticides and herbicides. 
Unfortunately, the report sows seeds of doubt about our food 
system and the hardworking farmers who feed the planet.
    On top of that, outside USDA's participation on the 
commission, our boots-on-the-ground farmers weren't included in 
the development of the report. Do you have plans to remedy this 
and make certain farmers are not only included but are at the 
center of the discussion and decisions moving forward?
    Secretary Rollins. My commitment is just that. And I have 
worked and have been unequivocal on the record how important 
these crop protection programs are, pesticides specifically, 
glyphosate and others more specifically, and the President has 
as well. So we will continue that. There is no doubt that we 
could do better on the next report, and my commitment is to do 
everything I can to ensure that our ag community is better 
represented.
    Mr. DesJarlais. Well, I know that will make Tennessee Farm 
Bureau very happy, as well as many other farm bureaus and 
farmers, so thank you for that.
    There is probably no industry with more uncertainty than 
agriculture, but there is one certainty in this Committee. 
There will always be vigorous and lively debate over the SNAP 
program. And I have been trying to get answers to a question 
for years now about SNAP eligibility for non-citizens. And your 
USDA manual has a list of 15 criteria for non-citizen groups 
such as refugees, individuals granted asylum, Cuban, Haitian 
entrants, all children under 18.
    So we are often told that it is very difficult to be a 
recipient of SNAP if you are not a legal citizen, but according 
to USDA's own policy, that would appear that that is not 
necessarily the case. A number that we hear, and I am sure it 
is a moving target, is about 42 million Americans are on SNAP. 
Is that still a good number?
    Secretary Rollins. That is the correct number.
    Mr. DesJarlais. Okay. And can you tell me roughly what 
percentage of non-American citizens are on the SNAP program?
    Secretary Rollins. Well, it should be zero. If it is not, 
we are moving that direction. About a month ago, we put out a 
very significant statement on this. This is news to me. We are 
running it down right now, and we will circle back.
    Mr. DesJarlais. Okay. I am sure that you can see the copy 
of the eligibility, and it is immediate eligibility with no 
waiting period for the group. And there are 15--I didn't read 
them all. And I guess I just want to know where that money 
comes from because we have to create a farm bill.
    I am an advocate of the SNAP program. When I bring this up, 
people think I am anti-SNAP. That is not true. Don't want 
anyone to go hungry. I want everybody who needs to be fed to be 
fed. I think one issue we have argued over during 
reconciliation was able-bodied people who can work, with many 
exceptions. And I think it was misrepresented who those people 
were because we make it pretty clear that if you are disabled, 
if you are a pregnant mother, if you have young children, if 
you are elderly this doesn't apply to you.
    But it is an issue that is pretty well received across all 
political spectrums, whether you are Democratic, Independent, 
or Republican. Roughly about 80 percent of all those groups 
think that able-bodied people who can work should work. And I 
hope that that is something we can get in the farm bill.
    But I would actually like to see a number. If all children 
under 18 that are in this country illegally, and we had 20 
million people cross the border in the past 4 years, I don't 
know what, maybe 25 percent were under 18. According to these 
guidelines, they are eligible without a waiting period on SNAP. 
So I would really like to get some clarity as we write a farm 
bill and try to budget for the nutrition program, just what 
part of the pie that consumes.
    Secretary Rollins. Sir, I am told that that language you 
are reading is Congressional language out of the Congressional 
statute. So that is something that would need to be fixed by 
this body. But we are obviously looking at it, and certainly 
within our own USDA, ensuring that American taxpayer dollars 
support Americans.
    Mr. DesJarlais. And I would like to think that most people 
would like to see their American tax dollars go to American 
citizens. And then if there is some other solution to deal with 
the immigration problem we now face, then we need to know what 
that is. But we need to know what those numbers are as we plan 
our farm bill.
    Secretary Rollins. One other thing I think is important 
just because this is such an important conversation is that we 
did ask for the first time of any Republican or Democratic USDA 
for the exact data that you are asking for from the states 
because the states are implementing this. So hopefully we will, 
for the first time, be able to answer that question.
    Mr. DesJarlais. Thank you, Madam Secretary.
    The Chairman. The gentleman's time has expired.
    I now recognize the gentleman from Massachusetts, Mr. 
McGovern, for 5 minutes.
    Mr. McGovern. Thank you.
    Madam Secretary, I have to be honest. I am deeply troubled 
by what this Administration and this Congress are doing to so 
many programs that help vulnerable people and small farms. We 
live in the richest country in the history of the world. We 
have 47 million Americans who are hungry or food-insecure. That 
is a scandal. And hunger is getting worse under this 
Administration.
    We actually spent a few years developing a roadmap for 
ending hunger in this country. The Biden-Harris Administration 
hosted the second-ever bipartisan White House conference on 
Hunger, Nutrition, and Health. And out of it came a national 
strategy that called upon every sector of society to do their 
part to end hunger once and for all.
    And now Congressional Republicans are cutting food programs 
indiscriminately with apparent support from the Trump 
Administration. I mean, the Administration has already taken 
$500 million away from food banks. And President Trump's budget 
goes after WIC, slashing the food budgets of pregnant women, 
breastfeeding moms, and young kids.
    Meanwhile, your Department has cut farmer programs, too, 
like the Local Food for Schools Program, Local Food Purchase 
Assistance Program, and the Leahy Farm to School Program. Your 
Department has frozen funds obligated to farmers, canceled 
signed contracts, and purged career staff who work directly 
with our farmers.
    And internationally, this Administration is torching our 
global food security programs like Food for Peace and the 
McGovern-Dole Food for Education and Child Nutrition Program. 
They are both eliminated in the White House budget. You said 
that food security is national security. It is mind-boggling 
that the Administration would cut those programs. And China is 
filling the void. The bottom line is that these cuts are 
hurting people. They are hurting consumers, hungry people, our 
local economy, and hurting our farmers.
    And so, Madam Secretary, I would urge you to read the 
national strategy that came out of the White House Conference 
on Hunger, Nutrition, and Health. And I hope I can persuade you 
to make meaningfully combating hunger a priority because things 
are going in the wrong direction.
    But today, I need to talk about what small farmers in my 
State of Massachusetts are up against. We have been losing 
family farms in America over the last 50 years. And there are a 
lot of reasons for it, and it is complicated. But what should 
not be complicated is whether USDA has a responsibility to do 
something, to try to stop it. Over the years, we have heard 
from Secretaries of Agriculture like Earl Butz, who said, ``Do 
farmers get big or get out?'' Or your predecessor, Sonny 
Perdue, who said, ``In America, the big get bigger and the 
small go out.'' I couldn't believe he said that. I guess a 
simple yes or no question. Do you agree with that 
characterization?
    Secretary Rollins. No, sir----
    Mr. McGovern. Okay.
    Secretary Rollins.--I do not agree with that. And in fact, 
we rolled out a significant small family farm program 3 weeks 
ago, across the board, ensuring that these farmers can survive 
and thrive----
    Mr. McGovern. Well----
    Secretary Rollins.--like never before.
    Mr. McGovern. I am relieved to hear you say that you don't 
share that philosophy because right now, small farmers in New 
England are counting on you, right? Appropriations Ranking 
Member Rosa DeLauro and I teamed up at the end of last year to 
craft a disaster supplemental package specifically targeted to 
help small specialty crop farmers in our region, plus Alaska 
and Hawaii, who need to be made whole after catastrophic 
infrastructure and crop losses in the last few years. We have 
had unprecedented floods, freezes, and storms, and our farmers 
are at risk of losing everything. The modern farm safety net 
does not catch them. It was woven for farms that are much 
bigger or only grow a few crops.
    Traditional diversified operations, meaning local fruit and 
veggie farms that feed their communities, do not have any 
safety net because the Federal Government has never adequately 
created one for them. When disaster strikes, they are on their 
own. That is why we created this Farm Recovery and Support 
Block Grant to finally change that.
    I am terribly concerned right now with how your Department 
has been making decisions about the rollout of the program so 
far, and I hope that you would agree that farmers and not 
bureaucrats or politicians in Washington should be deciding on 
which disaster relief programs best meet their needs.
    I know there is ongoing conversations between state 
agriculture commissioners and the Department, but I would urge 
you to listen to the ag commissioners, and I would just ask you 
to, this is not a trick question. Will you commit to working 
with us and our state agriculture commissioners to make sure we 
don't leave our small farmers behind? Because this is a really 
big concern in Massachusetts and throughout New England.
    Secretary Rollins. Yes, sir, and I have had multiple 
conversations with Congresswoman DeLauro and your ag 
commissioners. We have met with your state eight different 
times on this, and we will be rolling that out very, very 
quickly.
    Mr. McGovern. Yes. I think there is a concern based on some 
of these conversations that the USDA is not quite understanding 
the uniqueness of some of these smalls in New England, and a 
lot of them are afraid that they will not qualify for any 
relief. And again, we passed this in the supplemental bill. We 
put it in the supplemental bill to address the needs of these 
small farmers.
    Secretary Rollins. Yes, sir.
    The Chairman. The gentleman yields back.
    I now recognize the gentleman from California, Mr. LaMalfa, 
for 5 minutes.
    Mr. LaMalfa. Thanks for joining us, Madam Secretary. I 
appreciate you being here, and we have a lot to do.
    Secretary Rollins. Yes.
    Mr. LaMalfa. As you know, we have very large and 
destructive wildfires all over the West, especially in my 
districts in California. The Paradise Fire, the Dixie Fire, 1 
million acres, it is on and on. So we know the overgrowth of 
fuel and the declining forest health due to the overcrowding of 
the tree population is a big part of that. So where does the 
overgrowth of fuel come from? Lack of management.
    What we also have as an issue is unkept roads on Federal 
lands make it basically where you can't even enter, whether it 
is private lands or Forest Service roads. We have the problem 
with these blocked roads. One of the areas I would highlight or 
lowlight is the Mendocino National Forest in northern 
California. In the last couple decades, 97 percent of that unit 
has burned. Think about that a moment, 97 percent of a given 
forest has burned in a not that long period of time.
    So what the issue is, is they are not maintaining their 
roads, so therefore, private parties can't get on their land. 
Forest Service, if they decide they are going to do any work, 
can't get on the land. And they will tell us that, well, we 
don't have enough money in the pot to maintain the roads, but 
they have the money in the rest of the pots to do other things 
that they can't do. So maybe they need to move the money from 
the other pot to getting the roads fixed first so we can even 
enter the lands. So that is some of the frustration there.
    Secretary Rollins. Yes, sir.
    Mr. LaMalfa. Last Congress, we were told in a field hearing 
by the Forest Service, we have more money than we have ever had 
after some of the spending programs under the Biden 
Administration. Yet in the same sentence say, we need more 
money in order to process a particular sale that is being 
talked about. So do we have any idea where the money is going 
to be spent overall to do catastrophic fire prevention in 
Forest Service? Do you see much happening there?
    Secretary Rollins. Well, 100 percent. And I was in the Oval 
Office yesterday with the President talking about this very 
issue. You will see something else coming out tomorrow from the 
White House on this very issue. We are 96 percent full on our 
hiring for the fire season, which, again, is ahead of where 
Biden was a year ago. So if there is a narrative that we are 
not fully funding, it couldn't be more wrong. We already have 
an 8+ percent timber increase in production with a goal of 
getting to 4 billion acre-feet over the next few years, which 
will solve for so much of this.
    Mr. LaMalfa. Good.
    Secretary Rollins. So this President is--I am very 
encouraged by his interest in this, and I think we are going to 
be able to really make some real progress for the first time in 
30 years.
    Mr. LaMalfa. Thanks so much. We really, really need it 
because we are way behind on 193 million acres that Forest 
Service has under their purview, and that some of these units 
are proud of a few loads of firewood, not the amount of boards 
we need to be moving.
    Secretary Rollins. Yes. That is right.
    Mr. LaMalfa. Let me talk about specialty crops real quick 
here, too. In California, we have lots of almonds, walnuts, 
prunes, peaches. Many things that are grown in California 
aren't grown anywhere else in the U.S. or in any significant 
number. So I am really pleased that the Marketing Assistance 
for Specialty Crops, that you are boosting that significantly, 
which means a lot for helping move these products, since if we 
don't grow them in California, we are probably going to have to 
import them somewhere.
    Secretary Rollins. That is right.
    Mr. LaMalfa. So how is the timeline going for the continued 
rollout of the MASC program?
    Secretary Rollins. We are moving very, very quickly. Of 
course, everything is under review in partnership with the 
White House, and so we are currently in review phase, but 
hopefully very soon that second tranche will begin to move, 
understanding how important this is, especially for the smaller 
farms, which really reflect the specialty crop industry.
    Mr. LaMalfa. Well, I am excited for that tranche, thank 
you.
    Secretary Rollins. Yes, you are welcome.
    Mr. LaMalfa. One final thought here. On the north coast 
just above the Bay Area, there is this Point Reyes Seashore 
National Park. I am pretty sure you are aware of what is going 
on there.
    Secretary Rollins. Yes, sir.
    Mr. LaMalfa. We have had long-time, multi-, five or six 
generation farmers and ranchers there that were approached in 
about 1960 because the government wanted their land to form a 
park. They finally struck a deal, say, hey, we will sell after 
a lot of browbeating and threat of eminent domain. They said, 
``Okay, we will sell you the land, but we would like to lease 
it back and farm it and ranch it for dairies, beef, and like 
that.'' And these are organic growers. These are very 
responsible growers that are taking care of that land.
    They have been, over the decades, worn down and finally are 
being kicked off the land unless folks in the Administration 
can help prevent this from happening. And so I beg you, and 
working with Secretary Burgum on that, to help preserve these 
dairies and beef operations because they actually maintain the 
land. I have seen talk where the Park Service, as soon as they 
have accomplished kicking them off, they are going to have to 
hire somebody to graze the land, like their own manager to 
graze it anyway. It makes no sense. So we have them drifting 
out by lawsuit after lawsuit because they have to get NEPAs and 
things.
    Secretary Rollins. Yes, sir.
    Mr. LaMalfa. They used to get 20 year leases from the Park 
Service. The Park Service has got giant issues there. Not 
completely your bailiwick, but I know you want to support. 
Thank you for helping with that and for helping make sure 
agriculture can thrive as these responsible folks are doing.
    Secretary Rollins. Yes, sir. I am sorry, Mr. Chairman, just 
let me say I have just become very aware of this issue in the 
last month and am very focused on it. I had a briefing on it 
yesterday. I would love to talk to you maybe tomorrow and get a 
full download, as I would like to get out to California very 
soon and go meet with them.
    Mr. LaMalfa. Thanks so much. We would love to have you out.
    Secretary Rollins. Yes, sir. Thank you.
    The Chairman. The gentleman's time has expired.
    I now recognize Ms. Adams from North Carolina for 5 
minutes.
    Ms. Adams. Thank you, Mr. Chairman, and thank you, Madam 
Secretary, for being here. And let me just say how delighted I 
was to hear about your support for HBCUs. I am HBCU strong. I 
am a proud graduate twice of North Carolina A&T State 
University, an 1890, the largest public HBCU in the nation, so 
I am happy to hear what you said about that, and we will look 
forward to your support.
    Secretary Rollins. Yes, ma'am.
    Ms. Adams. But the House Republicans' budget proposes 
shifting SNAP benefit and administrative costs to states. I 
served in the State House of North Carolina for 20 years, so I 
know the challenges that they have. So the CBO anticipates that 
these cuts could lead states to cut all or some food assistance 
for 1.3 million Americans due to the cost shift. Is that right? 
Yes or no?
    Secretary Rollins. I am sorry, ma'am----
    Ms. Adams. Well, that is a yes or no.
    Secretary Rollins. You are talking about the----
    Ms. Adams. That the shifting might cause states to cut all 
or some food assistance.
    Secretary Rollins. Oh, currently under consideration. Well, 
the partnership and the idea of the states, we spend $400 
million a day----
    Ms. Adams. Okay. Well, want I want to----
    Secretary Rollins.--at USDA, and that partnership I think 
is really important, and that is what the leadership of this 
Committee led.
    Ms. Adams. Okay. Let me do this. I have a series of 
questions, and they are pretty much yes or no. So are you in 
support of these unfunded mandates?
    Secretary Rollins. I am in support of the most fiscally 
responsible effort to ensure that we are delivering the right 
amount of aid to the people who need it.
    Ms. Adams. Okay. So let me just say that the CBO has 
confirmed that this is an unfunded mandate, and the states have 
confirmed it, as well as our counties.
    And Mr. Chairman, I would like to enter into the record a 
letter from the North Carolina Association of County 
Commissioners that speak to that issue. Madam Secretary----
    The Chairman. Without objection.
    Ms. Adams. Thank you.
    Madam Secretary, are you aware of reports from USDA that 
show that food insecurity has risen 3 years in a row? Yes or 
no?
    Secretary Rollins. Ma'am, we have $42 million on the SNAP 
program. At this point of employment and unemployment, the last 
time, we had $17 million so that program has exponentially 
grown.
    Ms. Adams. Okay.
    Can you give me a yes or no? Okay. well, my time is--let me 
just move on then. Okay. So are you aware that recent USDA 
reports show that grocery prices are expected to increase by 
3.3 percent this year?
    Secretary Rollins. Inflation has gone down for the first 
time since the last Trump Administration was here, so that will 
directly reflect on groceries.
    Ms. Adams. I want a yes or no, but I don't suppose I am 
going to get one. But anyway, listen, we should not be taking 
food assistance from families, revenue from our farmers and 
rural economies at any time, but especially not as costs are so 
high and expected to rise further. SNAP is an effective 
economic stabilizer during downturns, with every dollar 
generating as high as a $1.80 economic impact during these 
downturns. So shifting costs to the states removes that 
economic stabilizing impact because states will see their tax 
base decrease substantially at exactly the moment when more 
spending is most needed.
    So my next question--it is a yes or no if you can do that--
are you in favor of removing this economic benefit, especially 
for rural and small town cities and the farmers who benefit 
from the sale of their produce in these towns?
    Secretary Rollins. No one in America should go hungry, so 
of course I am in support of programs that are effectively run 
that fill that gap.
    Ms. Adams. All right. I am not sure if you are saying yes 
or no. But anyway, let me just say this. States already--and I 
have heard so many people talk about the skin in the game, and 
states do have skin in the game already through the 50/50 
administrative cost-share and the current monetary penalty that 
they face for a too-high payment error rate. In fact, 
Pennsylvania was sanctioned $40 million last year for having a 
high error rate.
    So let me ask one last question. So with fewer staff--we 
have suggested, for example, that we know that there have been 
cuts, right? So with fewer staff and reduced resources, will 
the USDA be able to endure timely and effective support for 
state agencies as they handle complex policy changes, waivers, 
and investigations into instances of scheming theft and 
technical assistance requests?
    Secretary Rollins. To this, I can say yes.
    Ms. Adams. Okay. Thank you.
    Secretary Rollins. You are welcome.
    Ms. Adams. So giving ongoing unfunded and understaffing in 
states causing delays in SNAP application processing, is the 
USDA taking action to help states process applications more 
quickly? Can you say yes or no, ma'am?
    Secretary Rollins. I would need to look into that, but my 
assumption is yes, that we are doing everything we can to help 
move that quickly.
    Ms. Adams. Okay. Thank you very much. The USDA's 1890 
scholars----
    Mr. Austin Scott of Georgia [presiding.] I am sorry, ma'am, 
your time has expired.
    Ms. Adams. Am I out of time?
    Mr. Austin Scott of Georgia. Yes, ma'am.
    Ms. Adams. Why is the clock still ticking here? Okay.
    Mr. Austin Scott of Georgia. Yes, ma'am.
    Ms. Adams. All right. Thank you, Mr. Chairman.
    Mr. Austin Scott of Georgia. All right.
    Ms. Adams. I yield back, and thank you, Madam Secretary.
    Secretary Rollins. Thank you, ma'am.
    Mr. Austin Scott of Georgia. It is all good, Ms. Adams.
    Mr. Crawford, you are now recognized for 5 minutes.
    Mr. Crawford. Thank you, Mr. Chairman.
    Secretary, thank you for being here. I appreciate you 
joining us today.
    A lot of important issues, not the least of which is 
national security for our nation's food supply and our 
producers. Before the recent news of two Chinese nationals 
smuggling what many believe to be a weapon of agroterrorism, I 
had a conversation with DNI Gabbard about getting USDA office 
opened and staffed with ICE personnel to begin working with you 
and others to address matters like this when they come up, and 
hopefully before they ever make it to our borders. I know you 
will work closely with DNI Gabbard as a matter of national 
importance.
    This is a new authority that we tried to get in place under 
the previous Administration. It has actually taken us years to 
get to this point, so I hope that we will be aggressive, and 
these incidents really underscore the need for it.
    Secretary Rollins. Agreed. I will do everything I can. 
Please feel free to call me if you think there is more I can 
do.
    Mr. Crawford. Absolutely. I appreciate that.
    Recently, the National Security Commission on Emerging 
Biotechnology issued a salient report on a multitude of issues 
facing our ag and biotech sector. And when you think about 
areas that need the most attention in our country like our 
supply chains, specialized subject matter expertise, bio-
surveillance and bioweapons, and the gaps that exist at USDA, 
how do you prioritize those personally, and how can we here in 
Congress help you fill those gaps?
    Secretary Rollins. I think it is of utmost importance. You 
will hear from USDA in the coming week, in fact, in the coming 
couple of days, a renewed, elevated, and amplified focus on 
just that, how we work across this government under Donald 
Trump to ensure we are addressing all of this at warp speed, 
aggressively to solve for it. It really is a national security 
issue, and making sure that people understand what is at stake 
is really important.
    Mr. Crawford. Well, and I am glad we had an opportunity to 
talk about this and make sure that you were aware of that 
authority that does exist in statute that was not acted on in 
the previous Administration. It is most definitely a priority, 
as we have seen in the news lately, and we don't want to get 
caught flat-footed on these incidents of potential 
bioterrorism, agroterrorism.
    Let me shift gears on you just in the remaining 3 minutes 
that I have. I am from Arkansas. You may already know this. I 
represent the largest rice-growing district in the country, in 
addition to lots of soy, corn, wheat, et cetera. Rice farmers 
and rice mills in my district directly benefit from the bulk 
shipments that are part of the Food for Progress program, Pub. 
L. 83-480, and that ships rice, wheat, other commodities in 
bulk in international aid.
    I know the Trump Administration has taken a hard look at 
all foreign aid programs to ensure they are functioning as 
originally intended, which includes serving as a market for 
producers. I was pleased to see the McGovern-Dole applications 
open up a few weeks ago for the 2025 funding. Do you have any 
timeline when we might see Food for Progress, when that might 
be announced?
    Secretary Rollins. I know we have 14 current active Food 
for Progress projects going on right now in 17 countries. Yes, 
you are right, May 9 was the McGovern-Dole announcement. Let me 
find out the exact date on that, sir, probably during the next 
question, and I will respond immediately.
    Mr. Crawford. Perfect. Thank you so much. And I don't have 
any further questions, so I will yield back. Thank you, Madam 
Secretary.
    Secretary Rollins. Thank you, sir.
    Mr. Austin Scott of Georgia. The chair now recognizes Ms. 
Brown for 5 minutes.
    Ms. Brown. Thank you, Mr. Chairman. And thank you, Ranking 
Member Craig.
    Secretary Rollins, thank you for appearing before the 
Committee today to talk about what has been happening over at 
USDA for the past 6 months.
    I want to start by asking you some questions about the Make 
America Healthy Again movement and the MAHA report that your 
agency, alongside the Department of Health and Human Services, 
released last month. Secretary Rollins, did you personally 
review the MAHA report prior to its publication on May 22nd?
    Secretary Rollins. Yes, I did.
    Ms. Brown. Okay. Since you reviewed the report before 
publication, did you notice the report cited nonexistent 
studies or that there were a number of missing or broken links 
or that the report misrepresented underlying studies? And if 
so, why did you not ensure they were corrected before the 
report was published? And if not, do you take responsibility 
for the work the agency publishes on your behalf without your 
review?
    Secretary Rollins. Those have all been solved, but thank 
you for the note.
    Ms. Brown. See, what I am concerned about here is making 
sure that our children in our country are actually healthier. 
And I welcome this conversation with my colleagues and the 
Administration. But sound policy actually follows sound 
science.
    Secretary Rollins. I agree.
    Ms. Brown. And right now, we are not all working from the 
same set of facts. So as you move toward the August deadline 
for the second report, I strongly encourage you to follow the 
science, not to jump to conclusions, and to rebuild trust by 
ensuring transparency, accuracy, and meaningfully engaging 
scientists, agricultural, and nutritional stakeholders.
    So turning to another area----
    Secretary Rollins. I agree. Thank you.
    Ms. Brown. You're welcome. Turning to another area of 
concern, I want to talk about the Quarterly Agricultural Trade 
Report. Earlier this year, you indicated the report would be 
released on May 29. Yet, it was ultimately published several 
days late and without the usual explanatory section. It had 
been reported that you delayed the report because it showed an 
increase in the trade deficit in farm goods for later this 
year.
    So Secretary Rollins, why was the report delayed and 
incomplete? And was the delay related to the report showing a 
worsening trade deficit in farm goods?
    Secretary Rollins. I will look into that and get back to 
you. It is my understanding that we wanted to make sure it was 
complete, that the citations were correct, and that the review 
was done in total. Of course, I have only been on the job 118 
days with 100,000 employees, and multiples of these reports 
moving all the time directly out of USDA. But we will look into 
that and circle back.
    Ms. Brown. So did your team remove the explanatory text 
from the report specifically because it attributed to the 
growing trade deficit to the Trump Administration's tariff 
regime?
    Secretary Rollins. It is my understanding that that was not 
the case, but we will look into that. I think the President has 
been very forward-leaning on understanding that we are in some 
time of uncertainty, but as these trade deals continue to get 
done, China announced about an hour ago, the UK 2 weeks ago, 
more coming, that that is going to be a really important part 
of the conversation moving forward. I want to make sure every 
piece of research we move out is the best cited, et cetera, and 
so that is a big part of my portfolio right now is to ensure 
that.
    Ms. Brown. I am glad you mentioned uncertainty because 
economists, farmers, and others rely on reports like this to 
track markets and plan for the future. When you start to insert 
politics into data releases, you harm the reputation of your 
Department and erode the trust the government is trying to 
produce when it has untainted data.
    So Secretary Rollins, will you commit to publishing data 
and reports that are complete and free from tampering of the 
underlying data?
    Secretary Rollins. We just have to make sure our internal 
review process is in place. But yes, we will work around the 
clock to ensure it is the correct data that gets out at the 
right time to make the most impact for our farmers and 
ranchers.
    Ms. Brown. I appreciate that. I expect my colleagues and I 
will continue this conversation because the stakes are simply 
too high for those who fuel and feed our nation. At a time when 
chaos reigns from this Administration, our farmers deserve 
certainty and support from Washington, not uncertainty and 
spin, so thank you, Madam Secretary.
    Secretary Rollins. Thank you, Congresswoman. I appreciate 
it.
    Ms. Brown. And with that, Mr. Chairman, I yield back.
    The Chairman [presiding.] The gentlelady yields back.
    I now recognize the gentleman from Mississippi, Mr. Kelly, 
for 5 minutes.
    Mr. Kelly. Madam Secretary, thank you for your time today 
and a sincere thank you to President Trump and your team at 
USDA for putting American farmers back at the heart of our 
national agriculture policy. Under President Trump's 
leadership, we no longer focus on empty rhetoric. We are 
advancing policies that actually deliver real results for 
producers like mine in Mississippi.
    And I hope that when you visit Mississippi in the very near 
future, you will have a chance to go to Mississippi State 
University, which is our great land-grant university, which 
also has a great veterinary program and a lot of ag research 
there.
    Secretary Rollins. Yes, sir.
    Mr. Kelly. We are trying to make sure we get you up there 
so----
    Secretary Rollins. I met with your President yesterday.
    Mr. Kelly. I know.
    Secretary Rollins. Okay. So yes, we will be there.
    Mr. Kelly. He told me I better put that in or he would not 
support me anymore.
    Secretary Rollins. I have a cowbell to prove it for the 
record, a very loud one.
    Mr. Kelly. I really appreciate--last year, we fought real 
hard on this Committee to get $10 billion, to get it to our 
farmers, to keep many of them from going under this year. I 
really appreciate your rapid response to getting that money out 
and having policy to make sure that our farmers and the lenders 
for our farmers can actually lend.
    Secretary Rollins. Yes.
    Mr. Kelly. There is another $21 billion in economic 
assistance that is coming through the emergency disaster 
relief. What are your plans to quickly distribute that money? 
Because we are still in dire need in farm country.
    Secretary Rollins. Yes, that is going to be, well, we have 
already started moving that. The first $1 billion moved about a 
week ago through the livestock program. The block grants are 
moving right now. Florida, Georgia, North Carolina, South 
Carolina, Tennessee, and Virginia will be in the next 8 or so 
weeks. The rest of those we are negotiating with. Of course, 
the $220 million on the New England States, as our friends on 
the Democratic side have brought up a couple of times, I am in 
constant communication with those ag commissioners.
    If you see something, though, Congressman, that you don't 
believe we are moving quickly enough, you are hearing that it 
is too complicated, please just let me know. We are solving for 
that every day.
    Mr. Kelly. And then I know you have talked plenty about 
this, but unfortunately, I have another Secretary and another 
hearing at the same time, the Secretary of the Navy.
    Secretary Rollins. Yes.
    Mr. Kelly. But on the screwworm----
    Secretary Rollins. Yes.
    Mr. Kelly.--what are we doing to make sure--it is going to 
devastate. I am in Mississippi, and especially in south 
Mississippi, it is rapidly moving. What are we doing to ensure 
that it does not get to our shores? Because we need to stop it 
before it gets here because it would devastate herds if it gets 
here.
    Secretary Rollins. No, there is no doubt. And as you may or 
may not know, but good for the entire Committee to hear, we 
shut down the ports of entry about 2 to 3 weeks ago, much to 
the chagrin of my counterpart in Mexico, Secretary Berdegue, 
and their Administration. We had call after call after call of 
them really asking us to reconsider, reconsider, reconsider.
    But that screwworm had moved from within 1,100 miles of our 
border to 700 miles of our border within a matter of weeks. As 
you know, in the 1950s when it hit, it took 30 years for the 
livestock community to recover from that. I will have a major 
announcement next week on the very next step on putting the 
resources, the time, and the effort into continuing to push it 
back.
    Mr. Kelly. I always say I represent the one percenters, the 
one percent who serve this nation in uniform, and the one 
percent who feed the world, our farmers. And I truly believe 
that because I believe national security is farm security and 
our ability to produce.
    That being said, Madam Secretary, I really appreciate you 
getting after the fraud and abuse in the SNAP programs to kick 
people off who shouldn't be on there that are taking away from 
people who should be, not cutting benefits, but cutting the 
people who shouldn't be getting to start with.
    One thing I hope that you will help us on is our H-2A and 
our H-2B workers are critical to our farms.
    Secretary Rollins. Yes.
    Mr. Kelly. The process makes it harder than it should be.
    Secretary Rollins. Yes.
    Mr. Kelly. We get them notice that they are going to get 
these workers long after they can use them, especially when you 
are talking about sweet potatoes or planting or harvesting 
anything.
    What are you going to do to expedite the process so people 
who are legally coming here on H-2As or H-2Bs can get here 
quicker, stay longer, and help our farmers? What are you going 
to do in that area?
    Secretary Rollins. Well, and I would say the fourth thing 
is the expense of it, right? I mean, in Texas, the citrus 
producers who even get the H-2A workers are averaging $23 an 
hour, and a mile across the border, it is $2 an hour. So that 
is a big part of it too.
    But listen, we talked about this a little bit earlier. I 
talked to the President about this, this morning, again 
yesterday. He is acutely aware of the challenges, understanding 
that the leadership from this Committee must continue, that 
Congress has to move forward on a solution, but working with 
Lori Chavez----
    Mr. Kelly. Let me stop real quick, because I have one more 
comment I want to make.
    Secretary Rollins. Yes, sir.
    Mr. Kelly. This deal where a guy who drives a pickup truck, 
and they made a regulation that he drove a pickup truck, so now 
he is a truck driver and gets a different wage, you need to put 
a stop to all these stupid regulations we got in the last 
Administration.
    Secretary Rollins. Yes, sir.
    Mr. Kelly. And with that, I yield back.
    Secretary Rollins. We are working on it. Thank you, sir.
    The Chairman. The gentleman's time has----
    Secretary Rollins. I will be in Mississippi soon, for the 
record.
    The Chairman. The gentleman's time has expired.
    I now recognize the gentlelady from Kansas, Ms. Davids, for 
5 minutes.
    Ms. Davids of Kansas. Thank you, Mr. Chairman. And thank 
you to Secretary Rollins for being here today.
    The USDA plays a vital role in Kansas and across the 
country, supporting our rural producers, ensuring affordable 
food, and protecting the safety of our food systems. Americans 
rely on USDA every single day, whether they realize it or not, 
when they fill their grocery carts, when they grab milk from 
the fridge or drive past farmland that feeds their communities.
    And this is why I am deeply alarmed by what I consider to 
be reckless and unjust firings carried out by DOGE and the 
ripple effects that we are seeing in our communities because 
these firings don't just affect Federal workers. They threaten 
food safety, they stall critical research at places like Kansas 
State University, and they leave farmers and ranchers without 
the support that they depend on.
    And we can't talk about shared values of improving 
government efficiency while simultaneously pulling the rug out 
from the very people who keep our food supply running. You 
can't eliminate good-paying skilled jobs in Kansas City at the 
same time that our producers are already facing droughts, 
volatile markets from reckless tariffs, and rising costs.
    And this is not just a policy issue. It is very personal to 
the folks at home. The Kansas City metro is home to about 
30,000 Federal workers, including many of the USDA's Economic 
Research Service and National Institute of Food and 
Agriculture. These are neighbors, they are families, friends, 
and certainly they deserve better than chaos.
    Meanwhile, we are seeing new emerging threats. We have 
already discussed today a bit about the New World screwworm, 
which poses a serious risk to Kansas livestock and even to 
human health. And I am very proud to cosponsor the bipartisan 
STOP Screwworms Act (H.R. 3392, Strengthening Tactics to 
Obstruct the Population of Screwworms Act) because we 
definitely need to be proactive on this.
    And at the same time, I am deeply concerned about the USDA 
staffing cuts at the National Bio and Agro-Defense Facility in 
Manhattan, Kansas. It is the nation's first biosafety level 4 
lab for livestock. It was built to protect us from the worst 
animal diseases. And I understand that 28 employees were fired 
on a single day. Then later, some of those firings were walked 
back. A similar situation unfolded at the Food Safety and 
Inspection Service. That kind of instability certainly shakes 
the foundation of the USDA's mission and puts our food supply, 
our economy, and the public trust at risk.
    So Secretary Rollins, I am curious, were the firings a 
clerical mistake, or did someone have second thoughts about the 
initial decision to fire these specific people at the National 
Bio and Agro-Defense Facility?
    Secretary Rollins. Well, there was a lot there, but let me 
answer that last question first. There were no firings. There 
was a probation period. They were all brought back. I worked 
with the Senators from your state to ensure that was the case. 
So if you were hearing differently, will you please let our 
office know? But it is my understanding that all of that was 
unfrozen almost immediately and put back into place.
    Ms. Davids of Kansas. So I guess the concern is that we 
have heard about the New World screwworm already.
    Secretary Rollins. Right.
    Ms. Davids of Kansas. During that time, I think the bird 
flu was one of the bigger concerns that was being kind of 
mainstream talked about spreading throughout the country. There 
are other potential animal diseases. How could the National Bio 
and Agro-Defense Facility or even like our Food Safety and 
Inspection Service even be part of the chopping block in the 
first place? Was there not any discussion about how those 
decisions were going to be made? The fact that people were at 
the facility on one day, told to leave, and then told to come 
back, especially at these specific facilities that are meant to 
protect us from some of the worst animal diseases that could 
spread to humans, I am just curious how that even happened.
    Secretary Rollins. It clearly was an imperfect process but 
one that we moved to rectify within hours, if not days. One 
thing I want to make sure you understand, though, is when 
President Trump--when we left in the first Administration, USDA 
had about 90,000 employees. When we came back 4 years later, we 
had 112,000 employees, so working again to realign and refocus 
and understanding what the priorities are.
    There is no question that the priority of whether New World 
screwworm or HPAI, keeping our food supply safe and secure for 
the world, ensuring our farmers are put first continues to be a 
priority, and my commitment is to ensure that is so. So if you 
are hearing anything differently, please reach out to me 
directly, and we will work to rectify it, as we have been 
doing.
    Ms. Davids of Kansas. Thank you. And Mr. Chairman, I yield 
back.
    Secretary Rollins. Thank you.
    The Chairman. I thank the gentlelady. She yields back.
    I now recognize Mr. Baird for 5 minutes.
    Mr. Baird. Thank you, Mr. Chairman and Ranking Member.
    And Secretary Rollins, we really appreciate you being here. 
It is exciting. It is really exciting to see the things you are 
doing for agriculture.
    Secretary Rollins. Thank you.
    Mr. Baird. And I want to tell you, too, it was great to see 
you yesterday, and thank you for allowing me to be with 
Secretary Kennedy and you and Governor Braun from Indiana and 
Governor Huckabee Sanders from Arkansas. So I really feel the 
work that you are doing, and I appreciate the hard work you are 
doing to make America healthy again.
    But in order to get to the questions that I am interested 
in, one of the areas that I am going to start with--and it was 
mentioned yesterday--later this month, your Department will 
publish the Fiscal Year 2024 SNAP payment error rates. And I 
know for 2023, $13 billion in SNAP payments went out the door 
erroneously. In fact, $1 in every $10 in SNAP that year was in 
an overpayment. So it is unacceptable to this body and to the 
taxpayers, and this behavior should not continue. So I would 
like to have what you are doing and what you can do to help 
alleviate this kind of behavior.
    Secretary Rollins. Yes, it was great to have you in my 
office at USDA as well. I would like to invite anyone, 
Republican and Democratic, to come visit any time.
    I think that the error rate, you say $1 in $10, that is 
what we know of. We think it is probably much higher than that. 
That is why these efforts are so important. We just have had 
three stings in just the last couple of weeks, counting for 
tens of millions of dollars, working in concert with the Secret 
Service and other key investigative agencies, including our 
team at USDA. We will not stop until this is rooted out.
    But I think it goes to the bigger question, and that is 
when, again, the last time we had 42 million people--or the 
last time we had this unemployment number in America, which is 
low, the last time we had 17 million people on SNAP. Today, 
with the same unemployment number, we have 42 million people on 
SNAP. So the exponential growth of this program, especially 
over the last 4 years, a 40 percent increase in the last 4 
years is going to bring with it the fraud and the waste and the 
abuse that we have to counter. So I look forward to working 
with you, continuing to work across the U.S. Government to root 
that out.
    Mr. Baird. Well, thank you for that effort. And then my 
other area goes to another area that is of interest to me in 
agriculture, and that is agricultural biotechnology. And in 
that, I include this artificial intelligence, as well as 
quantum computing. But nonetheless, that is really the 
forefront of innovation. It enables farmers and ranchers to 
produce more using less resources. The USDA, through the Animal 
and Plant Health Inspection Service Biotechnology Regulatory 
Service, plays a key role in enabling the innovation to come to 
market.
    So how do we see USDA--how do you feel about helping get 
this kind of innovation quickly to our farmers and producers?
    Secretary Rollins. There is no group of people that have 
been more innovative than our farmers and ranchers over 249 
years, none. And as we have gone and seen this firsthand from 
basically feeding ourselves to now feeding the world, we should 
be so proud and continue to work so hard to lift up and to 
elevate these incredible men and women.
    There is no doubt, and what I have seen firsthand in terms 
of the innovation in agriculture is absolutely mind-blowing. So 
we will continue to work and find partners in that across the 
country, and to ensure that our farmers and ranchers have 
everything they need to continue to be the leaders in 
agriculture around the world.
    Mr. Baird. Thank you very much for that perspective and 
that answer. And, I share the view that you have. Agriculture 
is the foundation of this country and it has been from its very 
beginning, the 249 years you mentioned.
    Secretary Rollins. Yes.
    Mr. Baird. I really appreciate your perspective and your 
work in the agricultural arena.
    Secretary Rollins. Thank you, sir.
    Mr. Baird. Thank you. I yield back.
    The Chairman. The gentleman yields back.
    I am pleased to recognize the gentlelady from Oregon, 
Congresswoman Salinas, for 5 minutes.
    Ms. Salinas. Thank you, Chairman Thompson, and thank you, 
Ranking Member Craig, and thank you, Secretary Rollins, for 
being here today.
    Madam Secretary, food banks across the country are 
responding to consistently increasing demand, and Oregon is no 
exception. Right now, one in eight Oregonians and, even more 
troubling, one in six children, are experiencing food 
insecurity. Last year alone, visits to Oregon food bank sites 
surged to a record 2.5 million. This was a 31 percent increase 
over the previous year. Despite this overwhelming need, USDA 
recently canceled $500 million in funding to The Emergency Food 
Assistance Program, or TEFAP. That decision led to the 
cancellation of about 30 full truckloads of food meant to be 
distributed across our state.
    I recently introduced a piece of legislation, the Farmers 
Feeding America Act of 2025 (H.R. 3784), to provide a 
significant increase to TEFAP. And as the title implies, it is 
critical to remember that Federal nutrition programs also 
benefit our agricultural sector by providing additional revenue 
streams that they may not otherwise be able to attain from 
producers.
    So this is, or was, true of the Local Food Purchase 
Assistance Program and the Local Food for Schools and Child 
Care Programs as well, just as it is for SNAP. These are very 
simple questions, just require a yes or no answer. First, do 
you acknowledge that the demand at food banks is increasing 
year over year, or at least it did over last year?
    Secretary Rollins. I haven't seen the numbers, but I will 
take you at your word.
    Ms. Salinas. Okay. Thank you. And then, do you agree that 
Federal nutrition programs provide an important stream of 
revenue for America's farmers?
    Secretary Rollins. When executed correctly, yes.
    Ms. Salinas. Okay. Thank you. Well, I appreciate your 
acknowledgement of these basic realities. I am puzzled, though, 
why this Administration and my Republican colleagues still seek 
to cancel and defund these programs, despite understanding the 
critical needs for both those who are hungry, as well as for 
our agricultural sector. But again, I do thank you.
    So we have heard a great deal from this Administration 
about mass deportation plans and workplace immigration raids, 
and we are already seeing the chaos these actions cause across 
the country. These operations have swept up not only 
undocumented individuals, but also legal residents, work visa 
holders, and even some U.S. citizens. There have been well-
documented cases of individuals with legal protections being 
wrongly detained or deported, sowing fear throughout farmworker 
and immigrant communities, including those in Oregon.
    At a Senate Agriculture Committee hearing, the President of 
the American Farm Bureau, Zippy Duvall, warned that these mass 
deportation plans could put farms out of business and disrupt 
the food supply at a scale comparable to what we saw during the 
COVID-19 pandemic.
    Similarly, this Committee also held a hearing earlier this 
year on the state of the economy, and I asked the witnesses, 
most of which were called to testify by the Majority, whether 
they thought mass deportations would have the same impact that 
Mr. Duvall outlined, and they agreed.
    In Oregon, we know how real this threat is. Our state's 
agricultural sector, from berries to nursery crops to wineries, 
relies heavily on immigrant labor. And in fact, approximately 
73 percent of Oregon's crop farm workers, the workers who 
actually pick crops, are foreign-born, which mirrors the 
national average. Further, almost half of these workers are 
undocumented, which is also close to the national average. 
Without these workers, Oregon's farms and farms across this 
nation simply cannot function.
    So, given these realities, do you agree with the assessment 
by Mr. Duvall and the witnesses who testified before this 
Committee that mass deportations could upend America's 
agricultural sector?
    Secretary Rollins. The President himself, in a Cabinet 
meeting, discussed this. I talked to him about it this morning. 
There is a recognition that there has to be a balance. He 
remains committed to ensuring that no laws are broken, but 
while realizing that our agriculture community, specifically 
our dairy farmers, a lot of our row croppers, our specialty 
crops, there is a massive labor issue that we have to work to 
solve in partnership with Congress.
    Ms. Salinas. Thank you. All right. The Rural Energy for 
America Program, commonly known as REAP, offers grants and loan 
guarantees to farmers, ranchers, and rural small businesses for 
energy efficiency improvements and renewable energy systems. 
Since its inception in the bipartisan farm bill in 2008, REAP 
has provided grants and loans that have helped more than 21,000 
farms and 32,710 rural small businesses. I have personally 
toured multiple operations in my district that have benefited 
from this program.
    Unfortunately, these beneficiaries, like Oregon Flowers, 
Inc., in Aurora, Oregon, reported that they saw their REAP 
grant funding delayed as part of this Administration's ill-
advised funding freeze. Fortunately, I have heard that Oregon 
Flowers' grant has been unfrozen, as have those for other 
recipients in the district.
    Given I have seen the impact of these projects in my 
district, I do have a couple of questions. I know Ranking 
Member Craig and her Senate counterpart sent you a letter 
asking for an update on REAP funds at the end of April, but you 
have yet to respond. Are any REAP grants still frozen?
    Secretary Rollins. I am proud to say I think we are 
completely caught up in all the letters, which is sort of 
unprecedented, so that should be solved for. There should be a 
letter on their desks at least as of last night.
    Ms. Salinas. Okay. All right.
    Secretary Rollins. So it may be late. But yes, we have 
fully unfrozen all of those programs. Again, in a commitment to 
the American taxpayer to understand the efficiency, the 
efficacy of all of these programs, we undertook a lot of 
review. But it is important, and those are important to local 
communities and worked with some of the leaders in your state, 
specifically. I remember some phone calls and found them to be 
very valid.
    Ms. Salinas. Thank you. I yield back.
    Secretary Rollins. Thank you, Congresswoman.
    The Chairman. The gentlelady's time has expired.
    I now recognize the gentleman from Nebraska, Mr. Bacon, for 
5 minutes.
    Mr. Bacon. Thank you, Mr. Chairman.
    I am an equal opportunity critic of Secretary Rollins, as 
people maybe share, but I want to commend you. You have done a 
great job today. I think you are doing a great job as 
Secretary. I think the Administration made a great choice in 
you for Secretary of Agriculture.
    Secretary Rollins. Thank you.
    Mr. Bacon. The first question I want to ask is, it is not 
your doing, the problem, but you can have a hand in helping us 
here. Canada is Nebraska's largest trading partner. It is the 
cornerstone of our agriculture economy. And we have this 
agreement, USMCA, that the President negotiated in his first 
term. They were in compliance. And we talk about tariffs with 
dairy, but that was written into the USMCA deal, and then they 
gave us tariffs on wood. It was meant to be equal. But the 
tariffs are hurting us with Canada.
    Also, the talk of the 51st state from the Administration 
has angered so many Canadians. And I hear from our business 
leaders in Omaha that they are losing business from Canada, 
that they are saying, ``Hey, we don't want to do business with 
you right now.'' So we are paying for this, at least in 
Nebraska, I am sure other states as well. I hope you can help. 
I hope you have a kind of timeline that maybe we can get an 
agreement so we can get trade back going, and we need to repair 
this relationship that is important to not just Nebraska, all 
of the United States.
    I yield back.
    Secretary Rollins. Well, sir, I appreciate that. Clearly, 
as I mentioned a little bit earlier, it is an uncertain time. 
Our farmers and producers are the most affected by the 
uncertainty. Remarkably, they have remained very committed. In 
fact, the latest poll shows that the community is actually 
higher in support today than they were even before what we call 
Liberation Day when the President enacted the reciprocal 
tariffs.
    Having said that, I hear you. If you would send specific 
examples, I think that would really help me fully understand as 
these conversations are ongoing and I am at the table.
    Mr. Bacon. Really, I have talked to business leaders in 
Omaha. We have Fortune 500 companies. Canadians are calling 
them saying, we don't want to do business with you right now. 
But I don't really understand the reason for tariffs on Canada 
to begin with when they have been in compliance with an 
agreement that was negotiated by this President. For many of 
us, it doesn't make sense.
    But let me go to question number two. You and I spoke on 
the phone, and I really appreciate you taking my call regarding 
staffing and funding cuts with the U.S. Meat Animal Research 
Center in Nebraska. Do you have any update on efforts to 
restore these critical research positions and sustainable 
funding?
    Secretary Rollins. I don't right in front of me, but I will 
before we conclude today so we will get right back to you.
    Mr. Bacon. Okay.
    Secretary Rollins. I am grateful. It is important to us, 
and we have some great universities trying to work with you.
    Secretary Rollins. Yes, thank you.
    Mr. Bacon. You have already addressed my third question, 
but I just want to say thanks for your candor on the Make 
America Healthy Again and the impacts on farmers. I appreciate 
your feedback and your candor.
    My final question is this. On March 20, the USDA's 
Agricultural Research Service distributed a directive 
restricting the use of more than 100 terms in the evaluation 
agreements. Among these prohibited were ethanol, sustainable 
aviation fuel, water conservation, and groundwater pollution. 
All these things are important to Nebraska. Why do we do that? 
Because a lot of these research areas are important to the 
Midwest. And can you provide an update or a rationale?
    Secretary Rollins. Yes, of course. That was fixed almost 
immediately.
    Mr. Bacon. Okay, good.
    Secretary Rollins. So unless you hear differently, we have 
not heard any other issues with that. We solved for that right 
away.
    Mr. Bacon. Okay. Thank you so much. Those are my four 
questions.
    Secretary Rollins. Thank you, Congressman.
    Mr. Bacon. I will give you back a minute 40.
    The Chairman. The gentleman yields back.
    I now recognize the gentlelady from Hawaii, Representative 
Tokuda, for 5 minutes.
    Ms. Tokuda. Thank you, Mr. Chairman.
    I wanted to follow up on your response to Ranking Member 
Craig. The USDA did, in fact, fire nearly 6,000 probationary 
employees as part of a government-wide reduction in force. This 
was in addition to the deferred resignations that were 
received. The courts did, in fact, force you to reinstate these 
employees. Do you agree with the court's decision, then, and 
regret your initial decision to DOGE 6,000 of your employees? 
Just a simple yes or no, please.
    Secretary Rollins. I believe that was before I was sworn 
in, but we are undertaking every----
    Ms. Tokuda. Do you believe that the Administration regrets 
a decision, then, to DOGE 6,000 employees?
    Secretary Rollins. Well, I am not going to talk for the 
entire Administration. I think the effort to ensure that every 
tax dollar is spent is a really worthy effort----
    Ms. Tokuda. Okay. One----
    I want to move on because I have a lot of questions.
    Secretary Rollins.--even if it is imperfect.
    Ms. Tokuda. If the courts had not stopped your 
Administration, would you have stood by the firings, and would 
you have pushed for more firings?
    Secretary Rollins. If you and I had had the discussion, you 
would know that I have been so open to these discussions, no 
matter Republican or Democratic, in ensuring that we are doing 
everything we need to do to basically effectuate the USDA's 
mission.
    Ms. Tokuda. Okay.
    Secretary Rollins. So I don't want to speculate in 
hypotheticals.
    Ms. Tokuda. All right. Well, I will just say that there 
were 6,000 firings, of which the courts did have to then make 
you reverse the decision. And I am curious as to how much were 
actually brought back.
    But I do want to move on along this line. In April, 
Secretary Rollins, you stated that the USDA will be optimizing 
and reducing the size of the workforce to become more 
efficient. USDA employees have been told the goal is to cut 
back the workforce to fiscal 2019 levels, which would lead to a 
reduction of around 23 percent of the agency's workforce. Is 
this still your goal, to get to Fiscal Year 2019 staffing 
levels, yes or no?
    Secretary Rollins. Is this not unbelievable, though, to 
you, that USDA under your Administration----
    Ms. Tokuda. Just a simple yes or no answer, please.
    Secretary Rollins.--increased 25 percent by 20,000 people?
    Ms. Tokuda. I have a number of questions. Mr. Chairman if 
you can ask the witness to answer.
    Okay. So I am going to----
    Secretary Rollins. I don't--I mean----
    Ms. Tokuda.--assume your answer is yes, that that is in 
fact still your cut goal. If not, please submit it for you.
    Now, the 15,000 who took the deferred resignation is less 
than 15 percent. So even as we are trying to recruit people 
back, and we have seen this recently because we are vacant in 
certain areas we need, are you still trying to cut by 23 
percent, yes or no? I feel you are not----
    Secretary Rollins. We are working every day----
    Ms. Tokuda.--going to answer this.
    Secretary Rollins.--on behalf of the American people to put 
farmers first and make sure these programs are done with the 
utmost integrity.
    Ms. Tokuda. Farmers need people to help them answer the 
questions they have and provide----
    Secretary Rollins. They don't need 25,000----
    Ms. Tokuda.--the technical assistance they need.
    Secretary Rollins.--new employees based on a crazy 
infusion----
    Ms. Tokuda. Do you think----
    Secretary Rollins.--of spending from the last 
Administration----
    Ms. Tokuda. Okay. Here is a simple question for you----
    Secretary Rollins.--and the American people agree with 
that.
    Ms. Tokuda. Do you feel you are adequately staffed to meet 
your mission?
    Secretary Rollins. We are----
    Ms. Tokuda. Yes or no?
    Secretary Rollins.--adequately staffed to meet our mission.
    Ms. Tokuda. Okay. Well, then this is a question I think you 
need to talk to farmers about as to whether or not they think 
they have staffing at USDA to actually support the programs 
they need.
    Secretary Rollins, you are from Texas, which currently 
leads the nation in rates of food insecurity and hunger. In 
Dallas-Fort Worth, the metropolitan area encompassing where you 
live, childhood hunger, food insecurity rates are at 20.9 
percent. One in five children go to bed hungry. You have been 
an advisor to Governor Rick Perry, cutting the local food 
purchase assistance and Local Food for Schools funding.
    Secretary Rollins. That was 20 years ago.
    Ms. Tokuda. I agree, but you have instinct and knowledge of 
what it is like to have to take care of a state. You cut LFP 
and LFS by $1 billion. Central Texas lost 40 loads of food 
within weeks of the decision. That is 913,000 pounds of food, 
or 716,000 meals. You also cut TEFAP by $500 million.
    Texas is a top recipient of all of these particular funds, 
and with the combined cuts, the Houston Food Bank alone lost 
about 15 percent of their funding from these cuts. That is $11 
million or 500 tractor-trailer loads of food.
    My question is, just even thinking about Texas because you 
have an intimate knowledge and understanding of this area, do 
you think Texan children and families don't need these meals?
    Secretary Rollins. I think that a wholesale review of all 
of these programs is necessary. I don't know if you heard, 
but----
    Ms. Tokuda. But while we review it, are people hungry?
    Secretary Rollins.--the last time we had this number of----
    Ms. Tokuda. Six containers of protein and food----
    Secretary Rollins.--unemployment, we had 17 million 
people----
    Ms. Tokuda.--were turned away from Hawaii.
    Secretary Rollins.--on the SNAP program. Today, we have 42 
million. We spend $400 million----
    Ms. Tokuda. Are you done?
    Secretary Rollins.--a day----
    Ms. Tokuda. Secretary, are you then----
    Secretary Rollins.--$400 million a day----
    Ms. Tokuda.--saying that the food you cut was not needed--
--
    Secretary Rollins.--on nutrition programs.
    Ms. Tokuda.--by the people who were going to eat them? It 
is a simple question.
    Secretary Rollins. Texas has half the poverty of California 
by having lower taxes and less government programs. We are 
moving people into real jobs and real prosperity----
    Ms. Tokuda. You are then implying that people who are 
receiving----
    Secretary Rollins.--at a rate that states that don't move 
forward----
    Ms. Tokuda.--those food--again----
    Secretary Rollins.--with freedom have.
    Ms. Tokuda.--these are redundant----
    Secretary Rollins. So I will not let you denigrate my state 
that has become the model in the country for the American 
dream, for prosperity----
    Ms. Tokuda. Your state is leading the country----
    Secretary Rollins.--for good jobs, for good health care----
    Ms. Tokuda.--in hunger and food insecurity right now.
    Secretary Rollins.--et cetera. Thank you.
    Ms. Tokuda. And we are talking about the fact that your 
state alone has lost tens of millions, if not more, dollars' 
worth of funding under your lead of this particular department.
    Secretary Rollins. Four hundred million dollars a day----
    Ms. Tokuda. And it is a question----
    Secretary Rollins. --should be plenty----
    Ms. Tokuda. You must ask yourself----
    Secretary Rollins.--to support these programs.
    Ms. Tokuda.--for every dollar you cut, who goes hungry 
throughout this country? Thank you, Mr. Chairman.
    Secretary Rollins. In America----
    Ms. Tokuda. I yield back.
    Secretary Rollins.--there will not be a hungry child.
    The Chairman. The gentlelady yields back.
    I now recognize the gentlelady from Illinois, Mrs. Miller, 
for 5 minutes.
    Secretary Rollins. Hello.
    Mrs. Miller. Hello, Secretary Rollins. It is a pleasure to 
have you join us today, and I am looking forward to working 
with you and President Trump in making American farmers great 
again.
    As you are well aware, we are seeing taxpayer-subsidized 
Chinese solar covering some of the best farm ground in the 
world, class A and class B farm ground. I was proud to 
reintroduce the No Solar Panels on Fertile Farmland Act of 2025 
(H.R. 1080) this Congress, which bans taxpayer funding for 
solar panels, especially those made in China, from being 
installed on America's fertile farm ground.
    I want to publicly applaud your leadership in taking action 
to stop Chinese Communist Party from buying up American 
farmland. Hostile foreign powers should never be allowed to 
control critical American assets like our food production.
    Recently, organizations like the Bezos Earth Fund have 
spent millions of dollars to paint the livestock and 
agriculture industries as drivers of climate change. These 
grants have sparked significant concerns among cattle producers 
because foreign countries who seek to undermine the integrity 
of the Angus breed and our beef industry often target cattle as 
major environmental culprits.
    But I know we are in good hands with you as our Secretary. 
Secretary Rollins, what measures is the USDA taking to ensure 
that fertile farmland remains dedicated to food production and 
isn't repurposed for large-scale renewable energy projects?
    Secretary Rollins. Well, first of all, thank you, 
Congresswoman. Can I note that three of my four kids just 
arrived? Jake Rollins, Anna Rollins, and Lily Rollins, part of 
the government process here, and what a joy to have them.
    Mrs. Miller. That is great.
    Secretary Rollins. Yes. So you and I have discussed this a 
lot. Your leadership on the solar panels and on the Chinese 
threat is so appreciated and so inspiring. We rolled out our 
Small Family Farm Initiative about 3 weeks ago. The solar panel 
piece of that is part of it. We are actually moving regs 
through our system right now. So hopefully, in partnership with 
you and with this Congress as we move this forward, I have 
spoken with the President about it specifically. He too is very 
interested in it.
    Regarding the Angus beef, I would love more information on 
that.
    Mrs. Miller. Okay.
    Secretary Rollins. This is the first time I have actually 
heard of that, but remain acutely aware of the threats at stake 
and what we need to do to begin to solve for that. I have been 
in a lot of meetings about that at the White House.
    Mrs. Miller. Thank you very much. And I would like to say 
that solar and wind is not only taxpayer-subsidized Chinese 
energy, but it is unreliable, and it is increasingly 
unaffordable. And by covering rural America with it, they are 
driving people out of rural America and ruining our beautiful 
landscape. And we know President Trump loves beautiful things 
so----
    Secretary Rollins. Yes, he does. That is exactly right.
    Mrs. Miller. Given the concerns about foreign entities 
acquiring U.S. farmland, how is the USDA collaborating with 
other agencies to monitor and regulate such transactions, 
especially those involving nations hostile to the U.S.?
    Secretary Rollins. We have 400,000 acres of farmland in the 
last decade that has been purchased by the CCCP, 400,000. This 
happened without much because I don't think we knew it was 
happening. Now that we realize what a significant problem it 
is, we are working across the Federal Government. I was, again, 
in a meeting just yesterday about this issue, and we will 
continue to build out the plan to ensure that we are addressing 
this extreme threat to not only our farmland and our American 
way of life, but to our national security.
    Mrs. Miller. Thank you. And in light of the significant 
spending by Bezos Earth Fund and other similar groups, what is 
USDA doing to ensure Federal dollars are not being spent to 
push this radical anti-agriculture ideology?
    Secretary Rollins. Obviously, we have been talking about 
this for the last few hours, but every single dollar we are 
spending is under review to ensure that it is being spent with 
the taxpayers in mind, with the President's vision in mind, and 
what he was elected to do last November. And we are making a 
lot of progress.
    But having said that, and I ask this from both sides of the 
aisle, anything that you see or hear differently, please let me 
know. We are not going to be able to do this alone with just 
our staff.
    Mrs. Miller. Thank you. I am so grateful for you, and I 
yield back.
    Secretary Rollins. Thank you, Congresswoman.
    The Chairman. The gentlelady yields back.
    I am now pleased to recognize Mr. Vindman for 5 minutes.
    Mr. Vindman. Thank you, Secretary Rollins, for testifying 
today. Do you support farmers?
    Secretary Rollins. Of course. Yes.
    Mr. Vindman. And how about the families that go to grocery 
stores, do you support them as well?
    Secretary Rollins. I do. I have four children. Three of 
them are here who eat groceries too.
    Mr. Vindman. Wonderful. Glad to see them. Let's talk about 
the trade war. Yes or no, are you aware that farmers need 
inputs that we typically import to grow the crops?
    Secretary Rollins. Which input? Yes, in general, but which 
ones specifically are you talking about?
    Mr. Vindman. Oh, just in general, I am talking about it, 
and yes is the right answer.
    Yes or no, will higher costs of inputs force farmers to 
increase prices for their goods, resulting in higher costs for 
families at the grocery store?
    Secretary Rollins. Mr. Vindman, under the last 
Administration, inputs went up 30 percent here in America, so 
that is the bigger question----
    Mr. Vindman. Madam Secretary----
    Secretary Rollins.--not the trade war.
    Mr. Vindman. We are not talking about the previous 
Administration. We are talking about this Administration.
    Secretary Rollins. Well, but that is really important. I 
mean, that is 100 days versus 4 years. That is a 30 percent 
increase in inputs. Under the Biden Administration, a $50 
billion trade deficit that wasn't there----
    Mr. Vindman. Madam Secretary, I am aware of that----
    Secretary Rollins.--when the first Trump Administration 
left.
    Mr. Vindman.--but I am asking this----
    Secretary Rollins.--I mean, if you want to talk about----
    Mr. Vindman. Reclaiming----
    Secretary Rollins.--the driving cost of groceries----
    Mr. Vindman. Reclaiming my time.
    Secretary Rollins.--that is where that is coming from.
    Mr. Vindman. Reclaiming my time.
    Secretary Rollins. Yes, sir. Please continue.
    Mr. Vindman. So yes or no, will higher costs of inputs 
force farmers to increase their prices?
    Secretary Rollins. Yes----
    Mr. Vindman. Okay.
    Secretary Rollins.--as evidenced under the Biden 
Administration.
    Mr. Vindman. I am glad you agree, and I would like to 
submit for the record an article titled, How Tariffs on Steel 
and Aluminum Could Show Up on Your Grocery Store Bill.
    The Chairman. Without objection.
    [The article referred to is located on p. 154.]
    Mr. Vindman. Trump doubled tariffs on steel and aluminum, 
and so the cost can go up to ten percent more. How much is the 
SNAP benefit per person per day?
    Secretary Rollins. Six dollars is, I believe, the latest 
number.
    Mr. Vindman. Actually, it is $6.20, which when you are 
talking about $6, that 20 actually is meaningful.
    Secretary Rollins. Agreed.
    Mr. Vindman. Yes or no, do you think food being more 
expensive makes life more difficult for families on SNAP?
    Secretary Rollins. Well, I think that is right. That is 
exactly the President's bringing it down. We have a lower 
inflation than we have had since the last time Trump was here.
    Mr. Vindman. Madam Secretary, actually----
    Secretary Rollins. The cost of eggs went up 237 percent----
    Mr. Vindman. Madam Secretary----
    Secretary Rollins.--under Joe Biden. They are down 65 
percent now so----
    Ms. Davids of Kansas. Reclaiming my time.
    Secretary Rollins.--I don't know if this is the right 
discussion you want to have, but clearly, we are----
    Mr. Vindman. Reclaiming my time.
    Secretary Rollins.--solving for that. Okay.
    Mr. Vindman. So we just discussed tariffs and the fact that 
tariffs--and we already have this article that I have entered 
into the record--are going to increase the costs.
    So food being more expensive makes life more difficult. We 
already agreed to that. And in only the first 6 months, it 
sounds like this Administration is heading in the opposite 
direction with the tariffs, and your Administration is pushing 
a bill that would tighten people's SNAP benefits even more. Are 
you aware that SNAP recipients shop at the same grocery stores 
as every other American?
    Secretary Rollins. I am aware that we all use the same 
grocery stores, yes. I do believe there is a food desert out 
there in some of rural America that we are working to solve.
    Mr. Vindman. And I agree with that as well, given that----
    Secretary Rollins. Yes.
    Mr. Vindman.--I have significant rural parts in my 
district. Yes or no, do you know that in rural counties, 
retailers that have SNAP shoppers will lose income if those 
folks lose their benefits?
    Secretary Rollins. Well, again, $42 million versus $17 
million the last time we were at this unemployment number so--
--
    Mr. Vindman. It is a straightforward, simple question, 
Secretary. In rural counties, if retailers lose SNAP shoppers, 
will they lose income for these folks?
    Secretary Rollins. Just yesterday, we signed three more 
SNAP waivers of the $111 billion we spend every year on SNAP, 
$27 billion is on sugary drinks and junk food.
    Mr. Vindman. All right.
    Secretary Rollins. We are reforming the SNAP program to 
allow more nutritious foods.
    Mr. Vindman. Reclaiming my time. I am sorry.
    Secretary Rollins. Please.
    Mr. Vindman. I only have 5 minutes, so I need to move 
through this.
    Secretary Rollins. Well, hopefully, I have a chance to 
answer the questions, but I understand.
    Mr. Vindman. Yes or no, do you know that 27,000 retailers 
in rural areas might have to shut down if SNAP benefits are 
cut, creating even bigger food deserts, the deserts that you 
just referenced, in our country?
    Secretary Rollins. Clearly, that will not be happening as 
we continue to move away from processed foods and sugary drinks 
to a more nutritious menu----
    Mr. Vindman. Madam Secretary----
    Secretary Rollins.--for all of our recipients.
    Mr. Vindman.--that sounds like a no, that maybe you don't 
know that, subject to----
    Secretary Rollins. We spend $400 million a day, sir----
    Mr. Vindman. Reclaiming my time.
    Secretary Rollins.--on these programs, $400 million a day.
    Mr. Vindman. Reclaiming my time. So I would like to submit 
for the record an article titled, SNAP Cuts Are Likely to Harm 
More than 27,000 Retailers Nationwide, from the Center for 
American Progress.
    Secretary Rollins, did you know or did you or did you not--
--
    The Chairman. Without objection.
    [The article referred to is located on p. 108.]
    Mr. Vindman. Thank you--that the state of the ag economy is 
perhaps the worst it has been in 100 years?
    Secretary Rollins. The state of the ag economy is indeed 
under a massive challenge, but 30 percent input costs from the 
Biden Administration, a $50 billion----
    Mr. Vindman. Madam Secretary----
    Secretary Rollins.--trade deficit that was not there, that 
is the reason----
    Mr. Vindman. That sounds like a yes.
    Secretary Rollins.--for the farm economy.
    The Chairman. The gentleman's time has expired.
    Mr. Vindman. Thank you. I yield back.
    Secretary Rollins. Thank you.
    The Chairman. I will now recognize the gentleman from Iowa, 
Mr. Feenstra, for 5 minutes.
    Mr. Feenstra. Thank you, Mr. Chairman.
    And I want to thank you, Secretary Rollins, for being here 
today. I am so impressed with what you have done in the first 
several months of being in your Administration.
    Secretary Rollins. Thank you.
    Mr. Feenstra. I just think that you are delivering on 
Trump's America first farming agenda, and that is so important. 
I mean, promises made, promises kept by his Administration, and 
you are taking full advantage of what is happening there for 
our families and our communities.
    Secretary Rollins. Thank you.
    Mr. Feenstra. I want to talk about, you came to Iowa. Thank 
you very much.
    Secretary Rollins. I did. It was wonderful.
    Mr. Feenstra. I have the second largest ag district in the 
country. And you probably saw that we are very, very involved 
in biofuels, ethanol and biodiesel. And I would just love to 
ask, where do you see that going, and how can we continue to 
make sure ethanol and biodiesel is successful as we move 
forward? And what can USDA do in those arenas to make sure that 
we protect our farming community and create those markets for 
our farmers?
    Secretary Rollins. Yes, I had such a great day in Iowa. I 
mean, that part of the country is just so special. I had a 
little comment coming from behind. And it was really 
encouraging. I will note that this President has been, again, 
resolute in his support of the industry.
    Mr. Feenstra. Yep.
    Secretary Rollins. But one thing I want to note, and Mr. 
Vindman brought up the trade war, but--trade recalibration/
discussion, but the UK deal, the first deal that was just 
struck 3 weeks ago in the Oval Office, ethanol went to a 0 
percent tariff under that deal.
    Mr. Feenstra. Yes, that is huge.
    Secretary Rollins. Three days later, I was in the UK 
talking to the leaders there. They were so surprised, first of 
all, to have the Secretary of Ag there because they hadn't seen 
one in a long time.
    Mr. Feenstra. Yep.
    Secretary Rollins. But second, the idea that we can move 
our ethanol around the world in an unprecedented way is so 
tremendously helpful to our farmers in the parts of the country 
that rely on that. So I think the future could not be brighter, 
sir, for your constituents in that part of the country, and I 
am really proud of that.
    Mr. Feenstra. Yes, thank you. I am really proud of it, too, 
and where this is going to go and how it is going to grow.
    I do want to talk a little bit about SNAP benefits because 
I want you to answer the question, which is wonderful. I mean, 
what we are trying to do is simply reduce fraud, waste, and 
abuse, and error rates. And some of these states that have 
massive error rates, they don't care literally don't care. And 
that is wrong.
    Secretary Rollins. Yes. We can't even get the data.
    Mr. Feenstra. Right. And we can't even get the data. I 
mean, it is shameful. And that is the story that is never 
talked about.
    Secretary Rollins. That is right.
    Mr. Feenstra. And I just want to say what we are doing in 
the Agriculture Committee here is just simple. It is just 
saying, hey, we want to protect the program and reduce ag fraud 
and abuse.
    Secretary Rollins. That is exactly right. And again, I 
can't overstate the amount of money, of taxpayer dollars, that 
was just willy-nilly thrown into the wind in the last 
Administration.
    Mr. Feenstra. That is right.
    Secretary Rollins. It is stunning. And I don't say that as 
a political stunt. I am not trying to get in a back-and-forth 
with the Democrats on this, but it is absolutely astounding 
without really any regard to the taxpayer and how their money 
is being spent in ensuring that these programs are meeting and 
reaching the people----
    Mr. Feenstra. That is right.
    Secretary Rollins.--that really need them, and so that is 
what we are working to do.
    Mr. Feenstra. Yes, and thank you for that. I really 
appreciate that. And we have just got to get these error rates 
under control. We absolutely have to. It is fiscal 
responsibility to the taxpayers. The taxpayers are the ones 
that are funding all this.
    I just want to talk one more moment. On our export markets, 
we look at corn and soybeans and things that go bump in the 
night on the commodity prices and stuff like that. What can we 
do to open more markets? You just talked about the UK. Thank 
you very much. Where do you see other markets providing more 
at-market access to some of these commodities?
    Secretary Rollins. I have been so far to UK and Italy, 
talked about those countries, but also the EU. In 2 weeks, 3 
weeks, I am headed to Vietnam, Japan, and India. After that, I 
am headed to Peru and Brazil. I have been really surprised, but 
in the best way, at how excited these countries are for us to 
be there on the ground, how they understand that the 15 percent 
average tariff put on our American agriculture products versus 
the on-average five percent that we put on their products they 
understand that is not sustainable----
    Mr. Feenstra. That is right.
    Secretary Rollins.--that we have to do better in putting 
our American products forward.
    As I mentioned, Italy imports $75 billion in ag products 
every year. Only $1.7 billion of that is from America. This is 
one of our best partners, more aligned----
    Mr. Feenstra. Exactly.
    Secretary Rollins.--with our values than most any other 
country.
    So just being on the road----
    Mr. Feenstra. Yep.
    Secretary Rollins.--working around the clock----
    Mr. Feenstra. Thank you.
    Secretary Rollins.--sending the teams out into the world, 
the President being the chief negotiator, not allowing 
Americans to take a back seat ever again----
    Mr. Feenstra. That is right.
    Secretary Rollins.--this is going to be a gamechanger.
    Mr. Feenstra. Yes. Well, I just want to say thank you, 
Secretary, and I also want to say thank you. I had the largest 
bird outbreak of avian bird flu in my district in the 4th 
District.
    Secretary Rollins. You do.
    Mr. Feenstra. It was awful.
    Secretary Rollins. Yes.
    Mr. Feenstra. And you stepped right up and you got it done. 
Thank you so much.
    And finally, you have to come to the Iowa State Fair and do 
the governor's steer show. I hope you are there. Thank you.
    Secretary Rollins. I will be there.
    Mr. Feenstra. All right.
    Secretary Rollins. She and I are going to show steers 
against each other.
    Mr. Feenstra. Absolutely.
    Secretary Rollins. Yes.
    The Chairman. The gentleman's time has expired.
    Secretary Rollins. Thank you.
    The Chairman. I now recognize the gentlelady from Illinois, 
Ms. Budzinski, for 5 minutes.
    Ms. Budzinski. Thank you, Mr. Chairman. And I do want to 
thank our Ranking Member Craig. Secretary Rollins, thank you 
for taking time to appear before the Committee today.
    My district in central and southern Illinois is home to 
some of the nation's most productive farmland, with some of the 
top corn and soybean-producing counties in the country, as well 
as a wide variety of specialty crops. It is also home to 
facilities for some big names in agricultural industry--ADM, 
Primiant, Kraft, Tillamook--they just opened a factory in 
Decatur--plants like Corteva, Bayer, Nutrien, and a lot more. 
And, of course, it is home to a tremendous amount of 
agricultural research at my alma mater at the University of 
Illinois, but also Southern Illinois University in 
Edwardsville, and many great community colleges throughout my 
district. So I am sure you can understand why I am so thrilled 
to serve on this Committee because the work we do here and the 
work done at USDA matters so much to the district that I 
represent.
    Madam Secretary, can you tell me, do you agree that the 
primary function of the USDA is to serve farmers in our rural 
communities? Just yes or no.
    Secretary Rollins. Yes.
    Ms. Budzinski. Okay. Thank you. Madam Secretary, I do have 
some concerns about the way things have been going just over 
these last 6 months. Just to start, the President's budget for 
USDA was abysmal, in my opinion. It kneecaps agricultural 
research; threatens American dominance in international 
development; forces women, infants, and children to go hungry; 
and decimates NRCS.
    Just last week in this Committee, we heard directly from 
farmers about the importance and success of conservation 
programs for their operations. The idea that we would take away 
opportunities to improve farmers' livelihoods and to completely 
eliminate conservation technical assistance, which farmers have 
told this Committee directly that they rely on, I think is 
ridiculous.
    I urge you to be thoughtful about the impacts of the 
suggestions you have made. These are not inconsequential 
programs. There is no backstop. Please consider the farmers 
that you do claim to serve.
    I also want to bring to your attention some changes that 
have been made that have serious issues within my district. The 
elimination of the Local Food Purchase Assistance and the Local 
Foods for Schools programs, they both were incredibly 
important, and it is distressing to my community that they have 
been eliminated, and across Illinois as well share in that 
concern. This program was an incredible opportunity to connect 
farmers with their neighbors in need, as well as local small 
businesses.
    I am lucky to have a great relationship with Sola Gratia 
Farm in Urbana, a vegetable and fruit operation whose primary 
goal is to provide food to local residents, particularly for 
vulnerable populations. LFPA helped them accomplish this goal.
    They also were connected to local small businesses through 
LFPA like Martinelli's Market in Champaign, Illinois. And 
Martinelli's is also dealing with the Administration's tariffs, 
driving up the prices of their ingredients. So the rug was 
pulled out from under them when USDA canceled the LFPA 
contracts, contracts which helped them to buy locally and feed 
our communities. Now tariffs are driving up Martinelli's 
overall prices, and Solo Gratia lost its purchasers.
    This is just an example of the many concerns I have for my 
district, but I want to use my time to draw your attention to 
an opportunity----
    Secretary Rollins. Can I respond to any of that?
    Ms. Budzinski. Let me get through my points, and if we have 
time, then I welcome your comments.
    Secretary Rollins. Okay.
    Ms. Budzinski. Attention to an opportunity. This is an 
opportunity that could be at USDA.
    Secretary Rollins. Love opportunities.
    Ms. Budzinski. With this Administration--yes. So with this 
Administration's shuttering of USAID, Feed the Future labs 
across the country have closed with the exception of one at 
Kansas State University, the Climate Resilient Cereals Lab.
    One lab that was impacted and therefore closed was in my 
district. The Soybean Innovation Lab, or SIL, at the University 
of Illinois, has been conducting critical research for over 12 
years on new varieties of soybeans. This research not only 
supports developing nations, but it supports domestic growers. 
Development of soybean genetics in the United States helps us 
to maintain our global dominance in the soy market, which is 
critical for the farmers in the heartland. It also introduces 
brand new international markets to American products, which I 
know is a mission of this Administration.
    I understand that the majority of USAID activity has been 
moved to the State Department, including programming for the 
Feed our Future Lab at Kansas State. Madam Secretary, I ask you 
to please look into the importance of the Soybean Innovation 
Lab for American agriculture. Is that something that you would 
be willing to take a look at?
    Secretary Rollins. Yes, I would be very willing to do that 
and follow up that conversation.
    Ms. Budzinski. That would be wonderful.
    Secretary Rollins. Yes, thank you.
    Ms. Budzinski. Thank you, Secretary.
    Thank you. I yield back.
    The Chairman. The gentlelady's time has expired.
    I now recognize the gentleman from North Carolina, Mr. 
Rouzer, for 5 minutes.
    Mr. Rouzer. Thank you, Mr. Chairman, and thank you, Madam 
Secretary, for being here. We have had the occasion to meet 
briefly on a couple of occasions.
    Secretary Rollins. There you are.
    Mr. Rouzer. Yep.
    Secretary Rollins. Thank you.
    Mr. Rouzer. And I appreciate your work. USDA is near and 
dear to me. During Bush 43, I was an SES political appointee 
over at USDA Rural Development.
    Secretary Rollins. Yes.
    Mr. Rouzer. I have great appreciation for the variety of 
missions of the Department and appreciate your service.
    First, I want to begin by thanking you for your work with 
the North Carolina Department of Agriculture and Consumer 
Services on their state block grant application for losses from 
Hurricane Helene, obviously a very, very devastating storm. 
And, as you know, this devastation was far beyond just crop 
loss, affecting a broad range of our more than $111 billion 
agriculture economy, including timber, infrastructure, 
agritourism, and aquaculture losses.
    And it is my understanding that our staffs have been 
communicating, and I know you are working really, really 
closely with the state to address these issues and just really 
appreciate your work in that regard, if you want to provide a 
little update on that.
    Secretary Rollins. Yes. We have been in close contact with 
your state and the leaders in your state. I visited North 
Carolina, one of the first states I went to. I think we have 
had five formal meetings, but almost daily conversations. Those 
funds are close to contract and should be released very soon.
    Mr. Rouzer. And you may have mentioned this while I was out 
at another committee meeting, and so my apologies if it is 
redundant. North Carolina is the third most agriculturally 
diverse state in the country, and so we have a lot of specialty 
crops. If you can touch base or just bring us up to date real 
quickly on the Marketing Assistance Specialty Crop rollout for 
economic assistance for specialty crops, I would be most 
interested in that.
    Secretary Rollins. Yes, as you may remember, that is a 
significant investment on our end at USDA, about $2.65 billion 
we have announced. Those are moving but still under review. It 
is a significant number that we are working with our partners 
over at the White House on. The first tranche is moved, the 
second tranche is shortly behind. I don't have a specific date 
in front of me, but we will reply back to your office and make 
sure you are fully aware of that.
    Mr. Rouzer. Thank you very much. One other quick item, the 
H-2A program, I know the Chairman made reference to this in his 
opening statement. I can't stress enough how critical it is to 
have a good workable program, and that AEWR, the adverse effect 
wage rate, is a real issue for our growers.
    Secretary Rollins. Yes.
    Mr. Rouzer. In fact, we had a bipartisan working group that 
the Chairman put together. We had a whole list of areas of 
unanimity between Republicans and Democrats, and one of them 
was the need to freeze that AEWR. We have a great Secretary of 
Labor in place. And I remember during the first Trump 
Administration, there were a variety of departments that were 
working together to make some good reforms administratively to 
the H-2A program.
    Secretary Rollins. Yes.
    Mr. Rouzer. So I just want to underscore just how important 
that is and give you an opportunity to talk about that just a 
minute, if you can.
    Secretary Rollins. Yes, I am fully aware. In fact, in 
Texas, I went and visited some citrus growers in south Texas, 
and we could look across the border where the average hourly 
rate was $2 in Mexico to produce the same or to basically move 
the same produce through in Texas at $23 an hour. This is 
unsustainable. I have talked to Lori Chavez-DeRemer, our 
Secretary of Labor, about it. I have also spoken to the 
President about it. We remain fully committed to working with--
obviously, you all are going to be the main movers and shakers 
for real change, but whatever we can do through the government, 
the Executive Branch, please, please, please let us know 
because we realize what a huge problem this is.
    Mr. Rouzer. Well, we look forward to working with you very 
closely on that because it is probably one of the greatest 
needs American agriculture has.
    Secretary Rollins. That is right.
    Mr. Rouzer. You can't harvest a crop in many cases, 
particularly specialty crops, if you don't have labor.
    Secretary Rollins. That is exactly right.
    Mr. Rouzer. All right. In my remaining time, I want to put 
in a plug for our food assistance programs. A lot of them are 
administered at USAID, but they really belong under the U.S. 
Department of Agriculture, in my opinion. One in particular, 
the McGovern-Dole Food Aid Program, I used to work for U.S. 
Senator Elizabeth Dole in a previous life. I grew very close to 
Senator Dole from Kansas. And when you travel overseas and you 
see--you go in these schools, and the only reason why these 
kids are in school in these third-world countries is basically 
because of the McGovern-Dole food program. It is the only 
nutrition they get during the day. And it provides not only a 
humanitarian aspect, but there is also a diplomatic, long-term 
America-first aspect as well.
    Secretary Rollins. Very quickly, 30 of those programs are 
still moving, and we opened up funding for the next round on 
May 9, just a few weeks ago, understanding it is realigning 
around the President's vision and the countries that help 
America, but we are aware and tracking that.
    The Chairman. The gentleman's time has expired.
    At the Minority's request, I am going to recognize Mr. 
Jackson from Illinois for 5 minutes.
    Mr. Jackson of Illinois. Mr. Chairman, I yield to 
Congresswoman Hayes. They wanted us to switch orders.
    The Chairman. Then I don't recognize the gentleman from 
Illinois as Mr. Jackson, okay?
    I recognize the gentlelady from Connecticut, Mrs. Hayes, 
for 5 minutes.
    Mrs. Hayes. I am not sure what is going on. Don't I get my 
own 5 minutes? Thank you.
    Thank you, Secretary Rollins, for being here today.
    Secretary Rollins. Thank you.
    Mrs. Hayes. It is no secret that I am in opposition to the 
Republican bill and the deep cuts to SNAP, and I have been 
vociferous and clear about that. I just want to add, as we are 
talking about the Republican proposals in the Department of 
Agriculture, there are serious concerns that many of the 
actions being taken threaten the bipartisan coalition that has 
helped pass multiple farm bills, and we would be hard pressed 
to get the full Congress to pass a bill that guts billions of 
dollars from our most vulnerable communities.
    But today, my questions are going to be focused on small 
farms in my district. Between 2017 and 2022, Connecticut lost 
roughly 460 farms. Projections by the American Farmland Trust 
estimate that my state will lose 55,000 acres of farmland if we 
do not step in to preserve what remains.
    There are many factors contributing to the loss of farmland 
in New England, as we heard Mr. McGovern talk about earlier. 
One of the most consistent is the failure of farm safety net 
programs. Guardians Farms, a small, first-generation farm in 
Southbury, Connecticut, in my district, began operation in 
2020, and they sell dairy products at farmers' markets on the 
weekends. Two years of heavy rain have resulted in fewer 
visitors to the farm and damage to the pasture, barn, and 
chicken coops. Earlier this year, they requested $50,000 from 
USDA to help make up for lost revenue and to help with repairs. 
As of today, they still have not received any disaster 
assistance.
    Last year, Congress funded two disaster relief programs and 
designed them to work together to ensure all impacted farms 
receive some type of assistance. The Supplemental Disaster 
Relief Program would fund larger operations, and the Farm 
Recovery and Support Block Grant would provide targeted relief 
to smaller farms in smaller states.
    Secretary Rollins, it is my understanding that USDA has 
directed Connecticut to choose between one of two of those 
programs and a small farm block grant, rather than assessing 
both, as Congress intended. What is the justification for 
denying Connecticut farmers the ability to access the relief 
Congress has voted to provide for them?
    Secretary Rollins. Well, first of all, thank you. That is a 
great question. I have been in a lot of conversations on this. 
In fact, my next one is with your colleague, Rosa DeLauro, at 4 
o'clock, once I leave here. We are continuing to assess what 
this means, understanding that this $220 million block grant to 
New England that you all put in the Relief Act at the end of 
last year is different. It is different than Georgia, North 
Carolina, some of the bigger farming communities with the 
bigger farms.
    So we are continuing to look at this. The decision has not 
been released yet, but will be soon. We remain very committed 
and have been working with your ag commissioner from 
Connecticut and across New England for the last few months and 
will continue to do so.
    Mrs. Hayes. Well, I appreciate you explaining what USDA is 
doing as a whole, but my question was about why Connecticut is 
being denied access to both programs. I know that there has 
been concern about double dipping, but there are audit 
processes in place, certification processes in place. And what 
ends up happening is exactly what we anticipated. The smallest 
farmers are left out because they don't have access to these 
programs. And my fear is that Connecticut will be kept waiting 
for relief because the program is not being implemented 
properly.
    Your budget proposal would cut funding for the Farm Service 
Agency by an additional $250 million. I am concerned that 
Connecticut farmers, again, will see diminished capacity from 
USDA to address their needs. How will the USDA deliver payments 
to farmers in a more efficient manner when you are cutting 
resources and the staff who do the work?
    Secretary Rollins. So ma'am, the $10 billion that moved out 
very quickly, the ECAP, you all passed it around Christmas, 
maybe December 20. We moved it out $10 billion in a matter of 6 
to 8 weeks. The longest waiting time was 3 days once that was 
moved out. We have sent the money to 500,000 farmers across 
America. This is months and months and months ahead of where a 
normal USDA moves it out. So I think our track record hopefully 
speaks for itself.
    Mrs. Hayes. Well, again, I hope that there is some 
consideration for the smallest farmers----
    Secretary Rollins. I agree.
    Mrs. Hayes.--who don't have grant writers or access to 
these programs or the ability to reach out and get a response.
    Secretary Rollins. One hundred percent.
    Mrs. Hayes. I appreciate the fact that money is getting out 
the door. My concern, once again, is that it is going to the 
largest farmers in the largest agricultural communities and 
leaving behind the farmers who literally have less than 100 
acres and are doing this work and it is their family business.
    Secretary Rollins. I agree.
    And Congresswoman, what I would ask is when you hear those 
stories and you are called, to call me specifically and say 
this is what is happening in my district, and this is who is 
not getting the attention that they deserve, and that will help 
us solve for that.
    Mrs. Hayes. I appreciate that. I will follow up and make 
sure you have the information on Guardians Farm in Southbury, 
Connecticut.
    Secretary Rollins. That would be great.
    Mrs. Hayes. It is a veteran-owned farm, and they are 
struggling right now.
    Thank you, I yield back.
    Secretary Rollins. What was the name again?
    Mrs. Hayes. Guardians Farm.
    Secretary Rollins. Guardians Farm.
    Mrs. Hayes. I will make sure you get the information.
    Secretary Rollins. Thank you.
    The Chairman. The gentlelady's time has expired.
    At the request of the Secretary and in consultation with 
the Minority, we are going to do two more questions and then 
take a 20 minute break and then reconvene. And I will keep an 
order of those in the room at the time of the break so that 
that will be the order when we come back, and I will announce 
what time that is when we see when these next two individuals 
are done.
    So at this point, I recognize Mr. Johnson from South Dakota 
and then in the direction of the Minority, Mr. Jackson from 
Illinois.
    So Mr. Johnson is recognized for 5 minutes.
    Mr. Johnson. Thank you, Mr. Chairman.
    Madam Secretary, I feel like we are talking to a member of 
your team every week on something or other, so I am----
    Secretary Rollins. That is right.
    Mr. Johnson.--going to walk through six issues, and then 
you can comment on any of them that you like.
    First off, I want to thank you for working with us to 
provide some relief to that South Dakota ranching couple, the 
Mauds.
    Secretary Rollins. Yes.
    Mr. Johnson. It should never have gotten to the point it 
did, and thank you to your team for seeing the wisdom forward, 
common sense.
    Number two, I want to affiliate myself with Mr. Costa's 
remarks about high-path avian influenza, still a tremendous 
threat, and as he said, not just to poultry but also to our 
herds as well.
    Secretary Rollins. Yes.
    Mr. Johnson. And then I was grateful to see your five-prong 
plan had vaccines as an important part of it. I think there has 
been some concern that maybe the priority in USDA shifted 
around a little bit, and so I just want to highlight the 
incredible work that a number of companies, including Medgene, 
are doing in developing some really powerful vaccines that I 
think are the long-term solution to this problem.
    Secretary Rollins. Good.
    Mr. Johnson. Not even long-term, I mean just the solution 
here I think sooner than we realize.
    Number three, forestry, Mr. LaMalfa said it well. I mean, 
we have a lot we need to do out in the forest. I mean, a 
managed forest is a healthy forest. We have a million acres of 
National Forest land in the Black Hills, and it has been a long 
time since we have been able to hit the data-driven harvest 
targets.
    Secretary Rollins. Yes.
    Mr. Johnson. We have had mills close, lots of jobs lost. 
When we lose that infrastructure, it is almost impossible to 
ever get it back, which means the forest turns into a 
tinderbox.
    I have confidence in your team. Mr. Schultz, Mr. French, I 
enjoy working with them. So I just want to thank you and ask 
you to continue to back their efforts to approach this issue 
with some real urgency. I think we are making progress, but we 
have a ways to go yet.
    Number four, I want to thank your team for the incredible 
responsiveness they have shown in working with South Dakota 
State University in making some alterations to what is now 
known as the Producers First program. This is going to show us 
the way forward on some resiliency in how we feed and make sure 
that the bison and the cattle can get to market and that 
nutrition is a key part of what they do because we still want 
to discover some research and how to do better.
    Number five, I met with a few dozen dairy producers. And 
ma'am, this is not going to come as any surprise to you. They 
have a real anxiety in farm labor.
    Secretary Rollins. Yes.
    Mr. Johnson. And some folks are not sure how they are going 
to hang on. They view you as a huge leader. They view you as a 
critical--I mean, this problem will not get solved without 
Brooke Rollins. And they believe in you, ma'am. And if there is 
anything I can do to help in developing solutions so we can--
not just in dairy, of course. This is a bigger problem. But, we 
have to find a solution.
    Secretary Rollins. Right.
    Mr. Johnson. And finally, number six, and then I will shut 
up, trade, just little old South Dakota, we export almost $6 
billion a year overseas in ag. That is $6,000 a year for every 
single South Dakotan every single year. Clearly, this 
Committee, strong believers in MAP, FMD. And I know you are a 
strong believer, and I would just ask you to continue to be a 
strong voice for more trade, which will make America stronger. 
And I know that is where the Administration's headed.
    Secretary Rollins. Yes, I think----
    Mr. Johnson. What am I missing, ma'am?
    Secretary Rollins. No, I think you covered it very well. I 
just want to start with the last one first on the trade. And I 
am not sure if you were in the room, Congressman, but the 
encouragement that I have received just in these first few 
international trips has been remarkable, in fact, stunning. I 
think that the world is ready to recalibrate. I think that the 
President has been such an effective leader on this. I know the 
uncertain times our producers are feeling. There is no one who 
is operating more on the margins than our farmers and ranchers, 
understand this. The President certainly understands it.
    But I do believe with every fiber of my being that this era 
of unlimited or unprecedented prosperity for our ag community 
is just around the corner because of these trade 
renegotiations. I am just really, really sure of that.
    I also want to comment on the timber piece of this. I was 
just in the Oval Office yesterday with the President talking 
about timber, talking about the firefighting because they are, 
as you know, interwoven inextricably. And I think that we are 
going to have another meeting tomorrow in the Oval Office on 
the issue. The President has been resolute in the increase of 
25 percent in timber production, which, by the way, that will 
be the same number we had 30 years ago in 1994. Since then, our 
entire timber industry, as you know from your state and others, 
has been decimated.
    So the focus, the investment, the putting our timber 
industry back at the front of the line to ensure they are able 
to do and thrive, but also on the back end to mitigate against 
more and unnecessary fires, it continues to be a priority of 
this Administration, and I am really, really proud of that.
    Mr. Johnson. With that, Mr. Chairman, the Secretary and I 
have solved all the problems, and I would yield back.
    Secretary Rollins. I think we are done here.
    Mr. Johnson. And by the way, you are unflappable. I did not 
know that my mean comment about Iowa and Jess would be picked 
up by you. It was mostly for your staff's benefit, but you are 
unflappable. You kept rolling, so thank you. I yield.
    Secretary Rollins. Yes, I did. Thank you, sir.
    The Chairman. I thank the gentleman. The gentleman's time 
has expired. Now I recognize the gentleman from Illinois, Mr. 
Jackson, for 5 minutes.
    Mr. Jackson of Illinois. Thank you, Honorable Chairman 
Thompson. Thank you, Ranking Member Craig and distinguished 
Members of this Committee. Thank you, Secretary Rollins. I look 
forward to working with you in the months and years to come.
    Secretary Rollins. Me too.
    Mr. Jackson of Illinois. You are head of a Department with 
a budget of hundreds of billions of dollars, over 100,000 
employees, 4,500 offices, 29 different agencies, and so the job 
is enormous.
    Secretary Rollins. That is right.
    Mr. Jackson of Illinois. And I come here not to affix blame 
but to seek solutions.
    Madam Secretary, your Department proudly announced in a May 
1 press release that it has terminated over 3,500 contracts and 
grants, totaling over $5.5 billion, and canceled nearly 1,000 
trainings to eliminate ``woke'' DEI initiatives. For the 
record, does the United States Department of Agriculture under 
your leadership have an official written definition of DEI--I 
am a bit confused--one that would withstand legal scrutiny 
under the Administrative Procedures Act that you used as a 
specific uniform standard to justify these cancellations?
    Secretary Rollins. I believe that we do, sir, but let me 
check on that, and I will circle back to your office, and we 
can talk directly.
    Mr. Jackson of Illinois. Okay. Thank you. I have not been 
able to find one. I reached out to the office starting in 
February, so I would simply just assume at this point, for the 
record, that the answer would be written no.
    Under the Administrative Procedures Act, codified in 
section 5, U.S. Code 551, agencies' actions cannot be arbitrary 
and capricious, yet we see some of the terminations of these 
programs without a single written guiding principle, so we have 
to make sure that this is codified into law.
    Under the previous Secretary of Agriculture, we had a 
blueprint, an outline of where the Department was going. I hope 
in the weeks and months to come, this is on the thing. The 
Department of Agriculture has operated consistently by giving 
us a blueprint.
    The second question I would have for you, your department 
has canceled outreach and recruitment in the name of 
eliminating DEI, so I don't know what it is that is being 
eliminated, that is being cut because DEI is very vague. It 
means many things to many people. And so if you exclude the 
longstanding Federal hiring initiatives like the Veterans' 
Recruitment Appointment, authority of the Schedule A hiring, or 
authority for people with disabilities, both of which are 
designed to create a more diverse and inclusive Federal 
workforce, would you agree that is a noble goal?
    Secretary Rollins. Well, the first thing I will say--and I 
really actually appreciate the conversation--is that the 
President clearly has been very clear in his directive. We are 
operating under his Executive Order----
    Mr. Jackson of Illinois. Okay.
    Secretary Rollins.--on all of the above----
    Mr. Jackson of Illinois. Reclaim my time. I appreciate that 
because I fundamentally disagree with the President----
    Secretary Rollins. I understand.
    Mr. Jackson of Illinois.--and I can appreciate your 
integrity, but the President is simply wrong on this, and I 
hope more people in the Administration can speak up to him. He 
can make a mistake, but it seems like people get very confused 
around him.
    The Federal definition of diversity explicitly includes 
these groups, the disabled, the rural Americans, which are all 
groups that have faced barriers to Federal employment in the 
past. By canceling many of these programs unintentionally, they 
become collateral damage, and so I would like to make sure that 
we continue to broaden the workforce and pull as many people 
in.
    Also, we have talked about now, I see in this declaration, 
about meritocracy. You say your Department now operates on 
meritocracy.
    Secretary Rollins. Yes, sir.
    Mr. Jackson of Illinois. Are you aware that the nine merit 
system principles codified in section 5 of the U.S. Code 2301 
already exist to ensure fair and merit-based hiring, free from 
political influence? That is already baked into this. I don't 
know why there is new emphasis on saying there is meritocracy.
    Does USDA, under your leadership, have an official written 
policy defining what constitutes merit that supersedes or 
replaces these Congressionally mandated principles? We already 
have them in the documents.
    Secretary Rollins. I am not aware of that, but I am really 
glad, again, for this conversation. My commitment is to look at 
that very closely. Obviously, I am a big believer in the 
President's vision on this and the meritocracy approach, but it 
is a fair question. How do we define that and what does that 
look like?
    Mr. Jackson of Illinois. Okay. And that will be on section 
5. So these terms that mean woke and so forth, there is another 
term that they have on your website regarding color-blindness 
as a goal that you have. Did someone put into the record that 
color-blindness is a physical impairment, or is there a new 
definition of what color-blindness means? Is that an asset? Can 
you help me define what is color-blindness and the values or 
merits of it?
    Secretary Rollins. My understanding is this is from the 
Executive Order, the President's directive, and that we are 
looking at merit and the best possible employees for the 
American farmers.
    Mr. Jackson of Illinois. I got you.
    Reclaiming my time. So color-blindness, are we talking 
about having a lack of racial equity, racial justice? Is that 
the code word for it?
    Secretary Rollins. Yes.
    Mr. Jackson of Illinois. Okay. Well, the President, again, 
is wrong because you know the case of Pigford v. Glickman. It 
has already been documented that there has been a history of 
racial discrimination, prejudice, and racism. It has already 
had lawsuits filed and settled by farmers--African American, 
Latino, and indigenous--that did not have fair access to the 
resources of our agency. So I don't want to fix the blame, I 
want to fix the problem. But if some people are willfully 
blind, if he wants people going around the Department of 
Agriculture with mismatched clothes because he is now 
championing blindness, I think that is wrong, and that should 
not be classified.
    Mr. Chairman, I yield back, and thank you for your time.
    Secretary Rollins. I look forward to continuing that 
conversation.
    The Chairman. The gentleman's time has expired.
    The Committee will stand in recess for 20 minutes, gaveling 
back in at 12:55. And at that time, the Members who have been 
in the room here, I will share with you what I have for order. 
Mann, Davis, Moore, Sorensen, Harris, Vasquez, Taylor, Riley, 
De La Cruz, and Mannion.
    We stand in recess.
    Secretary Rollins. Thank you, Mr. Chairman.
    [Recess.]
    The Chairman. The Committee shall come to order. I note 
that there is a quorum present for the purposes of taking 
testimony and receiving evidence.
    I now recognize the gentleman from Kansas, Mr. Mann, for 5 
minutes.
    Mr. Mann. Welcome back, Madam Secretary.
    Secretary Rollins. Thank you.
    Mr. Mann. Thank you for being here today, and thank you for 
your leadership in supporting farmers, ranchers, and ag 
producers across the country.
    It was an honor to have you visit the Big First District of 
Kansas during your first week on the job back in February right 
after you were confirmed, and we had a chance, as you recall, 
to participate in a roundtable discussion with ag producers, 
stakeholders. We toured Finney County Feedyard, the Ponderosa 
Dairy. We even met with some local FFAers, which was a huge 
highlight of mine. I know that is something that is near and 
dear to your heart as well.
    One of my first meetings with President Trump, I distinctly 
remember him telling me of his love for the American farmer, 
and I very much appreciate that you also share that passion. 
Over the past few months, you and the President have led the 
way in supporting rural America, and I look forward to 
continuing to work with you for the next 4 years so that we 
make agriculture great again and everything that it possibly 
can be.
    Secretary Rollins. Amen.
    Mr. Mann. A couple questions. First one, Madam Secretary, 
the One Big Beautiful Bill Act is a major step forward in the 
future of American agriculture. We are able to strengthen crop 
insurance, raise reference prices, really help our producers. 
We also are able to include historic landmark investments in 
funding for trade promotion programs in the House version.
    After the last Administration's failure to act on expanding 
international markets, I have been really encouraged at your 
efforts to rebalance trade to support the American farmer and 
rancher. In particular, I appreciate that you will be traveling 
on a trade mission to India here in the next few weeks where 
greater market access for crops like sorghum would be a 
gamechanger for our Kansas producers and a clear win for the 
U.S. and India.
    With the significant upgrade in trade promotion resources, 
can you share what you and Ambassador Greer will be pursuing to 
unlock opportunities for U.S. exports commodities like sorghum 
as part of our discussion specifically with India?
    Secretary Rollins. Yes, specific to India--and I will 
absolutely, Congressman, circle back to you with a little more 
detail. I have about three countries ahead of India so I 
haven't focused on India just yet even though we are headed 
there very soon.
    Mr. Mann. Yes.
    Secretary Rollins. But I think that India is reflective--to 
your point on sorghum and a lot of our row crops, there is just 
so much opportunity there. We talked a lot this morning about 
national security, agricultural security is national security. 
A lot of that is opening up markets with our friends like India 
and moving away from other markets that clearly are not aligned 
with us on a value-by-value basis.
    What I have found with Ambassador Greer, with Secretary 
Lutnick, with Secretary Bessent, and the ultimate sort of 
dealmaker, President Donald Trump, is they are, we are 
relentless, relentless. And again, I think I mentioned this a 
couple of times, but it is worth repeating, the few countries I 
have already visited, the countries that have already visited 
me, everyone is so anxious to support this vision of opening up 
more American products and decreasing the tariffs while working 
on the non-tariff trade barriers.
    So there is a lot more to come, would love to work with 
you, though, as we are prepping for India and other countries, 
specific to sorghum and other row crops.
    Mr. Mann. Would love to. I think India is a huge 
opportunity for sorghum and other commodities as well.
    Secretary Rollins. Yes.
    Mr. Mann. Thank you for that.
    Second question, earlier this year, I introduced 
legislation to move back to USDA a program that is not only 
dear to the people of Kansas, but also vital to our ag 
producers in the country. Food for Peace was a program that I 
have long supported, and it has supported American agriculture 
in helping feed millions of people around the world. It was 
originally housed with the USDA when it was created over 70 
years ago. A Kansan came up with the idea years ago. My bill 
would return it back to us, or return it home to the USDA, 
ensuring its long-term sustainability.
    I am optimistic that Congress will soon act to codify this 
move, realigning Food for Peace with USDA where it began. If 
and when that transition takes place, can you commit that the 
Department will continue to fund and operate Food for Peace as 
robustly as it currently has been administered? And welcome any 
thoughts about Food for Peace.
    Secretary Rollins. Sure. And understanding that is moving 
through the system, not wanting to get ahead of President Trump 
specifically, but we stand ready. If that is the Congressional 
direction, we will work with you and your partners to ensure 
the contained sustainability--continued, I should say, 
sustainability and success and changes if necessary.
    Mr. Mann. And great program, right?
    Secretary Rollins. Yes.
    Mr. Mann. We are shipping commodities grown here in bags 
that say a free gift from the American people. It is good for 
our farmers good for our shippers, good for the mouths that 
receive it.
    Secretary Rollins. Yes.
    Mr. Mann. I think someone asked you about Food for Progress 
earlier. I might loop back in with your office on that as well. 
But just really appreciate you being here.
    Secretary Rollins. Thank you.
    Mr. Mann. Thank you for all that you are doing for 
agriculture.
    Secretary Rollins. Thank you so much. Good to see you, 
Congressman.
    The Chairman. The gentleman yields back.
    I now recognized gentleman from North Carolina, Mr. Davis, 
for 5 minutes.
    Mr. Davis of North Carolina. Thank you so much, Mr. 
Chairman.
    Secretary Rollins, thank you so much for being with us 
today.
    Secretary Rollins. Good to see you.
    Mr. Davis of North Carolina. I was looking forward to the 
Committee, I am sure, as we have been excited about you coming.
    I want to share a picture, the best that I can reflect from 
so many conversations, what is taking place in eastern North 
Carolina back home. Farmers are absolutely getting pounded. 
These are, without any doubt, tough times, and they are facing 
many challenges. And between increased labor costs, low 
reference prices, increased input costs, so much uncertainty, 
double-duty drawback for tobacco growers, trade, just 
uncertainty, and in the midst of it all, we still, regardless 
of how we got here, have no farm bill. And let's be clear, 
reconciliation is no substitute for a farm bill.
    Secretary Rollins. I agree.
    Mr. Davis of North Carolina. In North Carolina, we have out 
west, which I traveled a little over a week ago to the western 
part of the state, and it is a dire situation that is still on 
the ground there as people are trying to pick up the pieces in 
the aftermath of Hurricane Helene. But then out east, which I 
am honored to represent, we have had our fair share of 
challenges as we have been crushed with drought. There is so 
much going on.
    And by the way, I would like to personally welcome you to 
eastern North Carolina.
    Secretary Rollins. I would love that.
    Mr. Davis of North Carolina. But what we are leaving 
farmers now, we are leaving farmers these options. Option A, 
more debt, take on more debt; or option B, I am going to throw 
my hands up in the air and call it quits.
    Here is the reality. I grew up cropping tobacco and doing a 
lot of hard work that we enjoyed doing as kids, and this is 
part of our heritage. And when you talk in particular, family 
farmers, they want to continue and pass it on to the children, 
the next generation. But how many children want to take on all 
of this right now?
    So my first question is, what is the timeline for getting 
the disaster and economic agriculture assistance out the door 
that is going to help us in North Carolina?
    Secretary Rollins. Yes, I appreciate the question. God 
bless you. You are welcome. First of all----
    Mr. Davis of North Carolina. You took up 5 seconds of my 
time.
    Secretary Rollins. I know.
    Mr. Davis of North Carolina. That was a big one.
    Secretary Rollins. That was an amazing sneeze.
    The first thing I will say is with ECAP in North Carolina, 
6,389 of your producers received $118 million over the last 
month or 2, so hopefully, that is at least a step in the right 
direction.
    On the emergency livestock relief, which we just released 
in the last week or 2, there is significant numbers going that 
way, 599 producers for 2023, another 423 producers for 2024, a 
total of $1.4 billion, I believe, on that.
    Mr. Davis of North Carolina. And Madam Secretary, let me 
acknowledge the work that is taking place. I just want to 
really paint the picture. There is still a lot more work to be 
done.
    Secretary Rollins. Yes.
    Mr. Davis of North Carolina. And if I can shift, can you 
speak on whether you are working with RMA, the Risk Management 
Agency, Administrator Swanson, to defer interest charges on 
crop insurance premiums for the current year?
    Secretary Rollins. I don't have that answer, but by the end 
of the next question, we will have that for you. I am not 100 
percent sure, so I don't want to answer wrongly, but we will 
get that to you right away.
    Mr. Davis of North Carolina. Okay. Super. Thank you. And I 
want to really thank the Chairman because we have really been 
knee-deep in the H-2A program. This is so far an antiquated 
policy that is still out there, and we just got to come 
together and get this done. And thank you, Mr. Chairman, for 
the task force, the working group that we advanced.
    But I want to come in particular with AEWR because I hear 
so much about AEWR, and this is a real legitimate concern. My 
question is, what has been the communication from USDA with 
DOL, as well as DHS, in relation to ensuring there are enough 
workers available to continue to feed, fuel, clothe the 
American people so they can continue to keep the operations 
going?
    Secretary Rollins. Well, as we discussed this morning, 
although, sir, I don't think you were in the room, there is 
obviously a very understandable concern in the agriculture 
market on labor. I spoke with the President about it this 
morning. I had a meeting with both Secretary Noem and Secretary 
Chavez-DeRemer on Monday night. The President, in an April 10 
Cabinet meeting on his own, talked about it.
    There is no doubt that, first of all, significant reform 
needs to happen to the H-2A, H-2B, et cetera, which I know you 
all are leading on in a bipartisan effort, but also the 
importance of our Administration and this President, which he 
does, recognizing that we have a major gap in the labor market 
for our dairy farmers, a lot of our row croppers, and how you 
balance that, obviously, with his commitment to America and to 
the American voters, which we don't all agree on, but to 
address illegal immigration. So please know I am committed to 
working around the clock to solve for that.
    Mr. Davis of North Carolina. Thank you so much.
    The Chairman. The gentleman's time has expired.
    Mr. Davis of North Carolina. Yes.
    Secretary Rollins. Thank you.
    The Chairman. I now recognize the gentleman from Alabama, 
Mr. Moore, for 5 minutes.
    Secretary Rollins. Hello.
    Mr. Moore. Over here, Secretary Rollins. How are you? 
Welcome.
    Secretary Rollins. Thank you.
    Mr. Moore. Thank you for being here today, and thank you 
for all your work you are doing on negotiating with countries. 
I think reference prices, input costs have been mentioned by 
Mr. Davis. Obviously, that is an issue. We have lost a lot of 
farms, and I think as a result of inflation, obviously. We have 
printed money like drunk sailors in D.C. for the last 4 years, 
and in some cases, that is an insult to drunk sailors. But 
inflation has really caught our producers in a tough, tough 
spot with fuel costs and energy costs, those sort of things.
    But one of the issues I want to kind of breach with you and 
talk a little bit about is we recently have noticed there has 
been some SNAP fraud and card scamming. And just a few weeks 
ago, the DOJ charged a USDA employee and five others in a $66 
million SNAP fraud and bribery scheme in New York. And 
shockingly, this criminal scheme went on for years under the 
prior Administration.
    So Madam Secretary, what action is the Department taking to 
ensure that these sort of egregious levels of fraud are being 
addressed?
    Secretary Rollins. This is at the very top of the list. 
Currently, we can prove $1 of every $10, which is about $34 
million a day is paid out in taxpayer money that is 
fraudulently paid. We have an across-the-government, whole-of-
government approach right now. The New York case that you 
mentioned is just one of many. There was a sting operation led 
by our Secret Service, interestingly enough, on the West Coast 
within the last month. Many more are coming, working alongside 
Pam Bondi at the DOJ.
    But part of that, sir--and we have talked about it a little 
bit this morning--is the reluctance or refusal of many states 
to turn their data over to us, so it is hard for us to even 
know where that money is going and who it is being paid to. We 
are now directing it, and if they are not willing to do it, we 
are going to start moving through litigation. So we are going 
to force the issue, but it has to stop, and we can't continue 
to pay taxpayer dollars in such a fraudulent way.
    Mr. Moore. Yes, you said earlier, it contains 
sustainability. In some ways, I think you changed how you said 
it, but I think in many ways, with SNAP, that is what we have 
do.
    Secretary Rollins. Yes.
    Mr. Moore. We want it for the families that need it, right? 
But the fraud is a big issue. And my concern--and I have been 
on Agriculture Committee for 4 years now--is there is a supply 
and demand curve. And, as SNAP, more and more money goes into 
the SNAP programs, yet the producers, the suppliers themselves 
are limited in their resources. Often, when you see that, what 
happens at the grocery stores, the prices go up because the 
demand goes higher and higher with government dollars going on 
SNAP programs, yet we are not securing producers in the market. 
And so, ultimately, the price goes up, and then the tax dollars 
on those SNAP cards don't go nearly as far as they could have.
    Secretary Rollins. That is right.
    Mr. Moore. So I think, coupled with the fraud, increasing 
production, certainly, and getting government spending, runaway 
waste under control, helping with inflation, I think there is 
an opportunity for us to certainly help our producers. And I 
appreciate----
    Secretary Rollins. That is right.
    Mr. Moore. Again, I have the second largest peanut-
producing district in the nation, and I know that my farmers 
would appreciate that, and we actually were peanut producers 
until 1980. The drought and the armyworms kind of put us out.
    Secretary Rollins. Yes.
    Mr. Moore. So it is one of those things, I think we have 
lost 150,000 farms. And so I appreciate the work you are doing, 
the President is doing to try to help food security in this 
country and make sure that we are competing with other nations 
and certainly negotiating with other countries to buy our 
products. And so thank you so much for your work on that.
    Secretary Rollins. Yes, thank you.
    Mr. Moore. And with that, Mr. Chairman, I am going to save 
a little time and yield back.
    Secretary Rollins. Thank you, Congressman.
    The Chairman. The gentleman yields back.
    I now recognize the gentleman from Illinois, Mr. Sorensen, 
for 5 minutes.
    Mr. Sorensen. Thank you, Mr. Chairman.
    I love the milk that is in front of you, just saying. Love 
that it is whole milk, it is good.
    Also, let it be known that we had a lunch break. I love 
that.
    Thank you to the Secretary for being with us on one of the 
greatest, if not the greatest, Committee that we have on 
Capitol Hill.
    Secretary Rollins. Amen.
    Mr. Sorensen. Just over the weekend, I drove through 
Winnebago County, Illinois. We are at the very top of Illinois. 
I noticed, being a kid that grew up in a small town, that a lot 
of the fields aren't planted. It is June 11. Some farmers have 
given up on seeing any profit this year. Mr. Davis and Mr. 
Moore touched on input costs going up, just general costs going 
up, but it is also costing our farmers when the USDA extension 
services are reduced or canceled.
    We are failing to open up foreign markets for export. The 
USDA is cutting programs like conservation, rural development, 
technical support. And the result, our smaller hometowns are 
not doing better today, and they are losing faith. Farmers are 
being hit really hard. And back home, those family farmers, 
they don't want a handout from the Administration.
    Secretary Rollins. That is right.
    Mr. Sorensen. They want agriculture to work.
    Secretary Rollins. Yes.
    Mr. Sorensen. I am also struck that the Administration--in 
your testimony, you have omitted any mention of changing 
climate. It is no surprise here. I have studied meteorology for 
the better part of the majority of my life. It is one of my 
life's loves to communicate how our environment is changing. 
And you can't tell farmers that climate change is a hoax 
because they know you are lying to them.
    I have seen the weather records on family farms. It is 
harder to farm today than it ever was before because the game 
is changing for them. So when you fail to acknowledge what they 
are dealing with, and the Administration says it is a hoax, too 
many of our farmers, they can't quit their jobs like I did to 
come to Congress. They quit their life. We are failing to meet 
their needs. And it is not politics, it is science. And you 
can't make farmers stronger or make America healthy by slashing 
the very systems that produce healthy food and homegrown clean 
energy.
    I did want to touch on, and I am very concerned that 
producers may not get their harvest to local schools and food 
banks through the LFPA. This improves our domestic food supply 
chain resilience. It generates revenue for our farmers at a 
time when they can't make a profit. A program that ensures 
healthy food gets to those who need it most.
    The Midwest Food Bank in the heart of Illinois provides 
fresh local food to 288 organizations. The Northern Illinois 
Food Bank provides more than 900,000 meals through their 
program. This Administration's decision to cancel LFPA is a 
blow to local farmers, to families in need, and the 
institutions that serve them.
    In your testimony to Congress, you have mentioned 
repeatedly that this is COVID era. But while the pandemic is 
largely over, we still have this uncertainty in middle America. 
And now rural America is given more uncertainty as farmers see 
these beneficial programs go away.
    Kids nowadays say they get ``the feels'' when something 
feels good. Farmers grow corn and soybeans back home. They 
raise cattle. They are proud of their livelihood, but what 
gives them ``the feels'' is when they provide food for our 
neighbors, helping lift people out of hunger and out of poverty 
through the LFPA.
    So Madam Secretary, yes or no, will you commit to 
establishing a similar program that connects local farmers and 
local schools to food banks to provide healthier meals to 
students, improve food access for families, and reinvest in our 
economy?
    Secretary Rollins. We are really--I know yes or no, but 
forgive me. We are really focused on getting healthy produce 
and local farming into the schools. But very quickly, in 
Illinois, your local food for schools, you all still have $5.5 
million out of $7 million sitting in a bank that has not been 
distributed. And that was one of the reasons why the money 
couldn't move fast enough into the food banks. So I 
understand----
    Mr. Sorensen. Let's put it into a program that works. I am 
all for that.
    I have deep concerns about Make America Healthy Again. As 
you move the President's agenda forward, will you make sure 
that there is a seat at the table for farmers, for ranchers? 
The Agriculture Committee wants to be able to express what they 
support, what they don't.
    Secretary Rollins. Yes.
    Mr. Sorensen. We need to meet the need for food production, 
nutrition access, and rural economies. Can we get farmers at 
the table?
    Secretary Rollins. Yes.
    Mr. Sorensen. Thank you. Also, I have very limited time 
left, but last question. How committed are you to making sure 
that our research, like the Peoria Ag Lab, our ag labs across 
the country are fulfilled and that the money is going to them?
    Secretary Rollins. Yes, of course. As we have refocused and 
realigned, but we have ensured, other than a handful, that they 
are continuing, they are strong, and that they are doing really 
good work. The ones that we pulled back, we had major deferred 
maintenance issues and a significant cost, so if you are 
hearing differently, though, please call me and let us focus on 
that.
    Mr. Sorensen. Okay. Great.
    Thank you, Madam Secretary.
    Secretary Rollins. Yes, thank you.
    Mr. Sorensen. I appreciate you.
    Secretary Rollins. Thank you.
    The Chairman. The gentleman's time has expired.
    I now recognize Mr. Harris for 5 minutes.
    Mr. Harris. Thank you, Mr. Chairman.
    And Madam Secretary, what a joy it is to have you here 
today and we are certainly honored to have you.
    Secretary Rollins. Thank you.
    Mr. Harris. And I thank you for your time and your patience 
and endurance through such a long hearing.
    But Madam Secretary, the ongoing avian flu outbreak has led 
to the loss of over 174 million birds since 2022. It has been a 
plague on the industry for too long, and I frankly have heard 
positive feedback from the broilers and layers in my district 
in regards to your five-point plan. In fact, one of the things 
I have heard here from my colleagues, and this being my 
freshman term, is that you are probably the most qualified 
individual to serve as Secretary of Agriculture that we have 
had in the last generation.
    Secretary Rollins. Thank you.
    Mr. Harris. So USDA has outlined $1 billion plan with $500 
million for farm biosecurity and $400 million for producer 
relief. Can you elaborate more on how these funds are being 
targeted to strengthen farm-level preparedness?
    Secretary Rollins. Yes, I really appreciate that. Thank you 
for those really nice words.
    Since we rolled out the plan, we have done almost 850 
biosecurity assessments, so meaning we go onto the farms and 
help the farmers ensure that the barns are locked down. That is 
clearly the number one and best and most effective way to stop 
the HPAI is the biosecurity. So we have done about 830 of 
those. We have spent a lot of money on indemnity, about $70 
million to repopulate the barns to get the chickens back into 
laying form very, very quickly. We have been importing some 
eggs while we repopulate, which has allowed the prices to come 
down. And then, of course, the $100 million focused on a long-
term solution, which hopefully we can get to in the short-term.
    I am not sure that there has been anything more 
heartbreaking to me in the 118 days since I was confirmed than 
visiting with some of these egg farmers who have lost their 
life. And I know there is this narrative that, ``Oh, they just 
want the money and the depopulation.'' That is not it. These 
farmers who basically have generational egg-laying farms have 
lost everything.
    And so I remain committed to them. I have visited with a 
lot of them around the country over the last 100+ days. And 
anything they are seeing that is not working, we would love to 
know, but we are proud of the work so far.
    Mr. Harris. Great. Can you share more about how efforts to 
right-size the U.S. agriculture trade imbalance will actually 
aid the industry's recovery and stabilize the egg supply we 
have talked about?
    Secretary Rollins. Yes, I think that with specifics to 
trade, I was in the first Trump Administration. I was in the 
West Wing with the President every day for the second, third, 
and fourth year. I ran the domestic policy agenda. I obviously 
have always believed in his vision of realigning the world and 
that America has been taken advantage of.
    What I didn't realize until this job is just how big the 
disparity is and how our country has been so taken advantage of 
year after year, decade after decade. And so the President's 
focus for us in the ag community, as, again, uncertain as this 
time is and as hard as it is, especially on some of our row 
croppers, at the end of the day, just around the corner, is a 
new day.
    And when we left the first Trump Administration, there was 
a trade surplus for ag. After 4 years of Joe Biden, it is a $50 
billion trade deficit, money directly out of our farmers' 
pockets. We are going to fix that. When we do, that will 
significantly help all of our ag producers, but certainly the 
ones in your district and the broiler and chicken industry 
hopefully will be just as helped as everybody else.
    Mr. Harris. Got you. And one final question. As you know, 
timely access to credit is essential for producers, especially 
during a downturn in the farm economy. I oftentimes hear from 
both lenders and producers about the length of time it takes to 
process loans. And given the President's strong commitment to 
reducing the size of government and reducing regulations, can 
you share any efforts that the Department is making to kind of 
speed up this process?
    Secretary Rollins. I talk about how the 118 days have been 
filled with a lot of surprises both good and bad.
    Mr. Harris. Right.
    Secretary Rollins. And on the second part of that, the bad 
side is just how stunningly bad this agency has been at 
reacting, at helping, at supporting, and moving out some of 
these programs. Some of those loan programs are at the very top 
of the list. We have brought in a team of formerly private, 
very successful industry bankers, et cetera, that can help us 
recalibrate the whole program. And I think that is really, 
really important. We can't do our job, and we can't do right by 
these farmers under the current situation that we inherited.
    Mr. Harris. Well, thank you again. And again from the 8th 
District of North Carolina, we hear great things and a lot of 
excitement about things moving forward.
    Secretary Rollins. Thank you, sir.
    Mr. Harris. Thank you. Mr. Chairman, I yield back my time.
    Secretary Rollins. Thank you.
    The Chairman. The gentleman yields back.
    I am now pleased to recognize Mr. Riley for 5 minutes.
    Mr. Riley. Thank you, Mr. Chairman. And thank you, 
Secretary, for being here. I see your kids made an escape 
during the break. Is that right?
    Secretary Rollins. They are so happy.
    Mr. Riley. I am sure they are.
    Secretary Rollins. They are like, I think it is time for us 
to go now, Mom.
    Mr. Riley. They looked very engaged.
    Secretary Rollins. Yes. Yes.
    Mr. Riley. I will tell you----
    Secretary Rollins. Eighteen, 17, and 15, yes.
    Mr. Riley. So mine are 5 and 2, about to be 5 and 2, and my 
5 year old--everybody here knows this already. My 5 year old is 
my most senior chief advisor.
    Secretary Rollins. Yes.
    Mr. Riley. I am new here. And when I asked him what 
committees I should get on, I read him the list of all the 
committees in Congress, tried explaining to a 5 year old what 
Ways and Means does. And at the end of it, he said, you have to 
get on the one with the tractors and the farm animals, and so 
here we are.
    Secretary Rollins. So here you are. Congratulations.
    Mr. Riley. Thank you. When I came here a few months ago, I 
promised that I would work with anyone from any party who wants 
to do right by upstate New York. And I am going to fight 
anybody who is hurting us.
    I think this Committee, one of the things I do like about 
it, there are a lot of opportunities for bipartisanship.
    Secretary Rollins. Yes.
    Mr. Riley. Earlier today, I was working with my friend Zach 
Nunn on the PLANT Act (H.R. 4014, Preventing Lethal 
Agricultural and National Threats (PLANT) Act) to crack down on 
China. There was some conversation here about cracking down on 
China buying farmland. I think there is room for bipartisan 
agreement on that.
    One of the things I would really like to work on with you 
is lowering grocery bills, and particularly egg prices, which I 
know has been a priority of yours. Back during the Obama 
Administration, they enacted some regulations that are still on 
the books, and they are keeping hundreds of millions of 
perfectly good American eggs off the market. And when you are 
suppressing supply, that is part of what is driving up the 
prices. So Dusty Johnson and I have a bipartisan bill. There 
are ten Republicans, six Democrats on it, and I think eight of 
us on this Committee, evenly divided, are doing that bill. We 
were very creative in naming it the Lowering Egg Prices Act of 
2025 (H.R. 2222). And I was just hoping to get your commitment 
that you will work with us to get that bill done, get it to the 
President's desk, and do some bipartisan relief on grocery 
bills.
    Secretary Rollins. I would love to do that. In fact, if we 
could maybe next week jump on the phone and you could walk me 
through it, that would be great.
    Mr. Riley. Sure.
    Great, I will take you up on that.
    Secretary Rollins. What is the bill number?
    Mr. Riley. That I don't know, but we can find----
    Secretary Rollins. Okay.
    No worries.
    Mr. Riley. Yes. Yes.
    Secretary Rollins. We will find it.
    Mr. Riley. Yes.
    Secretary Rollins. Yes.
    Mr. Riley. Thank you. I have a follow-up on some questions 
I have asked you in writing previously. I sent you a letter on 
May 20 in which I asked you if you could get me a list of the 
farmers in my district in New York 19, in upstate New York 
whose contracts had been suspended because I want to be able to 
reach out to each of them individually to make sure they are 
getting what they need. I followed up with you on Monday 
because I still had not received the list. And then about 20 
minutes before today's hearing, I got a response from your 
office. It didn't answer my question. It actually raised even 
more questions for me.
    And so, just what do I need to do to get--what I am asking 
for is just a list of the farmers in my district whose 
contracts have been suspended so that I can reach out to them 
and make sure they are getting everything they need.
    Secretary Rollins. They are confirming. It is our 
understanding there is no list because everything is moving at 
this point.
    Mr. Riley. Okay.
    Secretary Rollins. So if you are hearing differently or you 
have someone saying we are not moving here, would you let us 
know?
    Mr. Riley. Well, this----
    Secretary Rollins. But there should be no one that is 
frozen.
    Mr. Riley. No, no, but this is the problem is you are 
putting the burden on farmers who are working 20 hours a day.
    Secretary Rollins. But we don't think there is----
    Mr. Riley. No, no, let me finish.
    Secretary Rollins. But we don't think there is anyone----
    Mr. Riley. Let me finish.
    Secretary Rollins.--that has been frozen.
    Mr. Riley. To come to me and say, I have a problem----
    Secretary Rollins. There is no list.
    Mr. Riley.--whereas our job should be--so you haven't kept 
track----
    Secretary Rollins. No----
    Mr. Riley. You have----
    Secretary Rollins.--we have.
    Mr. Riley. You suspended----
    Secretary Rollins. There is no one that is frozen in your 
district.
    Mr. Riley. That is what I am trying to get at and confirm.
    Secretary Rollins. Yes.
    Mr. Riley. You are telling me today, every contract that 
had been suspended with a farmer in my district has since been 
unfrozen.
    Secretary Rollins. That is our understanding.
    Mr. Riley. Okay. That is what I am trying to get at.
    And then the last thing I wanted to talk with you about, I 
would love for you to come visit Chobani with me. They are in 
New Berlin in Chenango County doing incredible work. It is an 
all-natural food company. I went and I took a tour a week or 2 
ago. They are hiring thousands of upstate New Yorkers, buying 
millions of gallons of upstate New York milk from upstate New 
York farmers. They have this incredibly exciting expansion that 
is happening across upstate New York. Whether you are a 
Democratic or Republican, regardless of political party, it is 
the thing that like everybody should be excited about, and I 
would love to have you come with me, see it for yourself.
    Secretary Rollins. It is incredible.
    Mr. Riley. A tour----
    Secretary Rollins. I haven't been there, but I have been in 
contact with the CEO a couple of different times now so I am 
very aware.
    Mr. Riley. Good.
    Secretary Rollins. I actually committed to him to come 
visit. I didn't realize that was in your district, but that is 
great.
    Mr. Riley. Good.
    Secretary Rollins. I will be there.
    Mr. Riley. Terrific. Well, he is above my pay grade, so 
since you gave him the commitment, I will just add mine onto it 
and would love to host you.
    Secretary Rollins. We will just follow up. That sounds 
great.
    Mr. Riley. All right.
    Secretary Rollins. That sounds great. Thank you.
    Mr. Riley. Thank you, Mr. Chairman. Thank you. I yield 
back.
    The Chairman. The gentleman yields back.
    I now recognize Mr. Taylor from Ohio for 5 minutes.
    Mr. Taylor. Thank you very much, Mr. Chairman. Thank you 
for holding this hearing today, and thank you, Secretary 
Rollins, for being here. It is great to see you again. I 
appreciate all the hard work----
    Secretary Rollins. Yes, you too.
    Mr. Taylor.--you are doing on behalf of the agriculture 
community.
    Across rural America, including in southern Ohio, solar 
panels are being put on some of the best farmland in the world. 
As you pointed out in a recent op-ed, the acquisition of land 
for new farmers has also become increasingly difficult amid 
high costs in real estate development. It is expected that 50 
percent of all farmland will transfer hands in the next 20 
years, and it is essential that that land goes to our next 
generation of family farmers.
    I believe farmers should have every right to do what they 
want with their land, but the Federal Government should not be 
incentivizing the most productive land being taken out of 
production. That is why I introduced the Protecting American 
Farmland Act (H.R. 3313) to prohibit all Federal funds, grants, 
loans, tax credits, you name it, from going towards solar 
panels converting prime farmland, and I have been thrilled to 
see your proactiveness on this issue.
    Could you talk a little bit about how solar panels on prime 
farmland are making it more difficult for the next generation 
of farmers to get started in the business, and for the peace of 
mind of new farmers, can you commit that USDA funding won't go 
towards putting solar panels on prime farmland in the future?
    Secretary Rollins. One hundred percent, I can commit to 
that. I will also say that I have spoken to the President about 
this. I will also say that we are moving regulations through 
USDA relative to this as much as we can within the Executive 
Branch. Obviously, you all have the lead on that, and I will 
support you in whatever way I can.
    The final thing I will say is I spent my summers on our 
family's row crop farm in Minnesota, and we would fly from 
Texas to St. Paul every summer when I was growing up, working 
up there, take the hour drive from St. Paul up to Clear Lake, 
Minnesota, through the most beautiful farmland you have ever 
seen. And in the, well, 53 years that I have been making that 
drive, watching the solar panels take over all of that farmland 
in that 72 mile drive is heartbreaking.
    And so not only is it important for national security, not 
only is it important for the preservation of our smaller family 
farms, not only is it important for our row croppers where that 
land is being taken off, but it is important for the fabric of 
America that we are not selling away this farmland for solar 
panels funded by some interesting things. So yes, I am 100 
percent on board. Anything I can do to help on that, I am at 
your beck and call.
    Mr. Taylor. Thank you very much. As I travel around 
southern Ohio, the most common thing I hear from farmers is the 
need to protect the farm safety net, specifically crop 
insurance and commodity programs. That is why in the One Big 
Beautiful Bill that the House recently passed, we included the 
much-needed investment in our farm safety net. These provisions 
are one of the many reasons we need to put this bill on the 
President's desk as quickly as possible. Secretary Rollins, 
could you talk a little bit about the importance of including 
farm safety net provisions in the One Big Beautiful Bill to our 
farmers and rural communities?
    Secretary Rollins. I got the call for this job from 
President Trump on Saturday, November 23rd. I was the last 
Cabinet, one of at least the larger spots left. He called me 
Saturday morning. We were driving in our motorhome from Fort 
Worth to Auburn, Alabama, for a football game, and hung up the 
phone, obviously extremely honored, the honor of a lifetime. 
And then the very next thought in my head was how are we going 
to get a farm bill passed? And the reason is understanding the 
margins that these farmers have been operating under and 
understanding that the few times that we tried to get--we--I 
should say I wasn't part of the last 4 years, but it was tried 
to move a farm bill that was unsuccessful for a lot of reasons. 
A lot of people were hurting because of that, but no one hurt 
more by that than our farmers and those who rely on these 
reference prices.
    So I can't say enough and have been making this case to 
anyone that will listen that this Big Beautiful Bill is 
important for a lot of reasons, the President's tax cuts being 
permanent, creating more jobs, keeping the death tax out of our 
family farms, et cetera, et cetera. But I am not sure from my 
perspective and this job that there is anything more important 
than updating those reference prices, so I am very proud of 
that. And hopefully, it goes to the finish line.
    Mr. Taylor. Amen. Your lips to God's ears. Thank you.
    Mr. Chairman, I yield back.
    Secretary Rollins. Thank you, sir.
    The Chairman. The gentleman yields back.
    I am now pleased to recognize the gentleman from New 
Mexico, Mr. Vasquez, for 5 minutes.
    Mr. Vasquez. Thank you, Mr. Chairman. And thank you, 
Secretary, for being here today. And I am up here next to the 
Chairman.
    Secretary Rollins. Yes, okay, I see you. Bad eyes.
    Mr. Vasquez. Madam Secretary, I am glad that you have come 
before our Committee today. I represent one of the largest and 
most rural districts in the country, a district that elected 
both me and President Trump. Farmers, ranchers, food banks, and 
wildfire crews in my district rely on a properly staffed and 
functioning USDA, not just for support, but for survival.
    But right now, many of them feel that the USDA is failing 
them. As an example, in Silver City, New Mexico, the Frontier 
Food Hub, which is the only food pantry for hundreds of miles, 
had its Community Food Project grant abruptly frozen halfway 
through its 4 year term. Frontier Food Hub isn't just feeding 
families. It is an organization that is supporting small-scale 
rural producers in the region. Now, they spent those funds in 
good faith, built partnerships, and hired local workers. But 
when USDA turned off their contract with no warning and no 
explanation and no opportunity to appeal or correct course, it 
put their entire operation and the food security of the region 
in jeopardy.
    Secretary Rollins, as you can see, this is a critical 
program in a place like Silver City, New Mexico. Would you 
commit to upholding funding for rural communities in places 
like Silver City that provide these services?
    Secretary Rollins. Are you talking about the local food, 
the LFPA, or the Local Food for Schools, the local food 
purchases? There are so many. I have a couple different 
thoughts, but depending on which one you are talking about.
    Mr. Vasquez. Yes, it is the Community Food Project.
    Secretary Rollins. The Community Food Project. Okay. Okay. 
I understand. So our commitment, and continues to be, that we 
ensure that we are using taxpayer dollars, that the producers 
around those areas, understanding some of the food insecurity, 
continues to be a priority.
    What I would really appreciate--and I have actually been 
talking to Senator Heinrich from New Mexico about a couple of 
other key issues--is that you let us know specifics in what 
that looks like and how it has compromised, potentially, the 
goals of that community in New Mexico.
    Mr. Vasquez. Thank you, Madam Secretary. I appreciate that, 
and we will follow up.
    Now, I also represent the Gila and the Lincoln National 
Forest, and we are heading into peak wildfire season.
    Secretary Rollins. Yes.
    Mr. Vasquez. New Mexico experienced two of its largest 
wildfires just 2 years ago. Yet dozens of our seasoned Forest 
Service firefighters and trail crews have been fired and 
sidelined. In fact, I met with a group of seven members of a 
trail crew who actually are the ones who maintain the trails 
and cut fire lines in the wilderness areas of the forest who 
are just 1 week away from being fired. These are the very 
people that we rely on to protect our communities, to clear our 
trails, and to manage our forests. And without them, this 
wildfire season could be more dangerous, deadly, and disastrous 
than the one we recently saw.
    We are now in fire season. Has the USDA done any analysis 
on how these cuts impact public safety in fire-prone rural 
communities?
    Secretary Rollins. We have. We are 96 percent operational. 
We are way ahead--not way ahead, we are ahead of where the 
Biden Administration was a year ago in preparation for fire 
season. We have more firefighters on the ground and ready to 
go. I actually have been in conversations about this also with 
your Senator from New Mexico, specifically talking about the 
New Mexico challenges. So we are aware and leaned in, but 
again, please send any information to me that you see that is 
different from what I am understanding for New Mexico.
    Mr. Vasquez. Thank you, Madam Secretary. I appreciate that. 
And where a lot of the work happens, again, is with the trail 
crews who have a function within the larger preventative 
control of these forest fires, and so we definitely need 
firefighters to respond to a fire incident, but we also need 
the folks who are out there cutting those trails that allow 
those firefighters in, so I would suggest that we continue to 
look at those positions as very valuable to the entire 
firefighting ecosystem.
    Secretary Rollins. I agree. And we have invested a lot of 
money in the clearing, so let me get my arms around exactly 
what that looks like for New Mexico and we will follow up.
    Mr. Vasquez. Thank you so much, Madam Secretary.
    Now, every Member of this Committee has shared similar 
stories involving food pantries left in the dark, trail crews 
cast aside, producers that the USDA has promised to support. I 
introduced the Honor Farmer Contracts Act (H.R. 2396), which is 
a bill essentially that would allow USDA to fully pay those 
contracts that have already been executed, some dealing back 
all the way to last year because constituents are holding up 
their end of the deal, but they feel USDA isn't. So I would 
love for you to take a look at that bill and see if it is 
something that you would support.
    Now, I listen to the people on the ground in my district, 
and so I created an agriculture advisory group. Now, in my 
district, we grow pecans, chili, cotton, beef, and so many 
other specialty crops as well. And those local leaders that 
make up my Ag Advisory Committee, which the Chairman here has 
been gracious enough to talk to, would love the opportunity to 
talk with you and even more so to see you in the district. And 
in order to understand these impacts in my local community, 
would you be willing to visit the 2nd district of New Mexico in 
the near future?
    Secretary Rollins. I would. I would.
    Mr. Vasquez. Thank you so much, Madam Secretary.
    And thank you, Mr. Chairman. I yield back.
    Secretary Rollins. Yes, thank you, sir.
    The Chairman. The gentleman yields back.
    I now recognize the gentlelady from Texas, Ms. De La Cruz, 
for 5 minutes.
    Ms. De La Cruz. Thank you, Mr. Chairman.
    And thank you, Secretary, for being here today.
    I sit before you with immense gratitude and a profound 
sense of hope for our farmers, especially in deep south Texas. 
We are indebted to you for not only focusing and visiting our 
Rio Grande Valley and our deep south Texas, but talking about 
what was the number one issue for us, which was the water 
deliveries that came from Mexico that they were obligated to 
give us due to the 1944 Water Treaty (Treaty Series 994, 
Utilization of Waters of the Colorado and Tijuana Rivers and of 
the Rio Grande).
    Your tireless effort in putting that at the front of the 
national stage and sitting in the Oval Office many times with 
President Trump and being the voice for south Texas farmers who 
had really lost hope, many of which lost their farms. In fact, 
as you know, we lost our sugarcane industry due to Mexico not 
delivering that water.
    Secretary Rollins. We did.
    Ms. De La Cruz. So thank you from the bottom of my heart 
and from all of south Texas.
    Not only that, but you quickly pushed forward the $280 
million that went to our farms that were affected by the 1944 
Water Treaty. Yesterday, I had one of my farming constituents 
here that I took to dinner, and she said, ``Monica, we received 
our money from the $280 million that were allocated to us, and 
it saved our farm family. Had we waited even a moment longer, I 
would not be able to sit with you today as a farming family.''
    Secretary Rollins. That is amazing.
    Ms. De La Cruz. So I know that it made a profound impact. 
Thank you, thank you, thank you. Your tireless effort has been 
noticed and recognized, and you made a difference in our family 
community and our farming community.
    Secretary Rollins. Thank you.
    Ms. De La Cruz. That being said, I also want to say that 
the next step for us with the 1944 water treaty is that we work 
together with you, with Secretary Rubio, as well as the Trade 
Secretary to make sure that we get the 1944 water treaty as 
part of the discussion into the USMCA agreement. That will be 
our goal, that the treaty become part of the USMCA agreement so 
that it has teeth for further discussions should Mexico not 
comply again with the 1944 Water Treaty.
    Secretary Rollins. Yes.
    Ms. De La Cruz. So can I have your commitment to work with 
us in getting the 1944 water treaty into the USMCA agreement?
    Secretary Rollins. Yes.
    Ms. De La Cruz. Thank you so much. I appreciate that.
    Secretary Rollins. Yes.
    Ms. De La Cruz. So now that we have made big strides in 
getting water delivered to our farmers, the next thing is the 
screwworm. That is something that is of great importance to our 
farmers, our ranchers, our cattlemen are very, very worried 
about the screwworm. It is a devastating pest that poses a 
severe risk to our livestock and our wildlife and is 
threatening generational farms and farming families. It could 
have catastrophic consequences to our agricultural economy and 
to our natural ecosystem.
    Recognizing the urgency of this threat, I was proud to 
introduce the New World Screwworm Preparedness Act of 2025 
(H.R. 3806) and believe that this legislation will help bolster 
our defenses and enhance surveillance and ensure that we have 
the necessary resources and infrastructure to prevent and 
respond to potential outbreaks.
    With this in mind, I would like to encourage you to 
consider a sterile fly facility is established here in the 
United States, but consider Moore Air Base in Hidalgo County as 
its potential sites. Would that be something that you would 
consider?
    Secretary Rollins. Yes, and we will be in touch on that 
very soon. But you are 100 percent right, Congresswoman, and it 
continues to be my great honor to partner with you. You are 
relentless and just such a great advocate, and I am just really 
honored, first on the water, now working together on the 
screwworm. I know you know this. I am in constant communication 
with my counterpart in Mexico, Secretary Berdegue and the 
Mexican Government. We have to move the screwworm back, and if 
we don't, we will have another 3 decades of trying to recover 
from it. So we will have an announcement very, very soon, and 
you will be hearing from our office on that.
    Ms. De La Cruz. Excellent. Well, thank you. I hope that 
Moore Air Base will be considered since it does have the 
infrastructure available to combat this.
    Secretary Rollins. Yes.
    Ms. De La Cruz. Thank you. I yield back.
    Secretary Rollins. Thank you.
    The Chairman. The gentlelady's time has expired.
    I will be recognizing Mr. Mannion next, and then that will 
finish up the kind of special order of those who were here when 
we recessed, and then we will resume the regular order on the 
list here.
    So Mr. Mannion is recognized for 5 minutes.
    Mr. Mannion. Thank you, Mr. Chairman. Madam Secretary, 
thank you for appearing today and for your service to America's 
farmers. Earlier this year, I wrote a letter expressing deep 
concern about USDA's plan to close dozens of FSA and NRCS 
offices nationwide. In May, I also joined a delegation letter 
about the proposed lease termination of the Syracuse, New York, 
field office that serves my district.
    I appreciate receiving USDA's response to that letter this 
morning, but I remain worried that shutting these front door 
offices will leave rural producers without the help and 
assistance they rely on. So just where are you in terms of USDA 
reorganization and potential office moves?
    Secretary Rollins. And sir, I am sorry, I missed it. Which 
specific offices?
    Mr. Mannion. It was Syracuse, New York.
    Secretary Rollins. The Syracuse, New York, FSA office or 
Rural Development? Do you know which one?
    Mr. Mannion. It is a USDA office, yes.
    Secretary Rollins. Okay. Well, we are going through the 
reorganization. So for example, in some buildings, we have four 
different leases. Our GSA is the one managing all of that. I am 
not aware of any office that is closing. We shouldn't in terms 
of our interfacing with the farmers. But again, if you could 
get more specifics, we can dig into that.
    Mr. Mannion. Sure. Yes.
    Secretary Rollins. And in fact, the team maybe can look at 
that right now.
    Mr. Mannion. I appreciate that.
    Mr. Riley is adjacent to my district. He mentioned our 
dairy community in my conversations with representatives from 
USDA and our farmers, how essential these offices are.
    Secretary Rollins. They are.
    Mr. Mannion. And they appreciate having that easy access 
and can problem solve and assist those that need it.
    Secretary Rollins. I agree.
    Mr. Mannion. I appreciate you looking into that and 
certainly understand that there is a lot going on at these 
points, and I will give more details on the specific division 
that you had requested. We will follow up with your team.
    Just finally, as far as dairy, New York is the fifth 
largest dairy state in the country. I do not have that Chobani 
plant in my district, nor do I have the new proposed $1.2 
billion Chobani plant that will be in Representative Stefanik's 
district.
    Secretary Rollins. Yes. That is right.
    Mr. Mannion. But I share many concerns that have been 
expressed in this hearing. There will need just themselves 
upwards of 180,000 more cows many of whom do exist or will 
exist in my district and neighboring.
    Secretary Rollins. Yes.
    Mr. Mannion. So I thank you. I ask that you, I am sure, 
will continue to work with the Secretary of Labor and other 
members of this Administration and the legislature to work 
towards a year-round dairy farmer visa.
    Secretary Rollins. That is right. And understanding that 
labor H-2A needs so much work, and this Committee has done 
hero's work on it, but no one is more affected and needs reform 
more than our dairy industry. And so working very closely and 
in concert, I have to try to get that done is of utmost 
priority for me.
    Mr. Mannion. Thank you, Madam Secretary.
    Secretary Rollins. Thank you.
    Mr. Mannion. I yield back.
    Mr. Finstad [presiding.] All right. There is a new sheriff 
in town, so I am going to recognize myself.
    Secretary Rollins. I am so sorry. The lease cancellation 
you are talking about was rescinded so that should be solved.
    Mr. Mannion. Yes. Thank you.
    Secretary Rollins. The Syracuse, New York. You are welcome. 
I am so sorry, sir.
    Mr. Finstad. Already off the rails. Perfect.
    Secretary Rollins. Already breaking the rules.
    Mr. Finstad. Madam Secretary, it is great to have you here. 
I just have to start out by saying you are a breath of fresh 
air, your optimism, your excitement, and the fact that you were 
essentially born and raised just about an hour and a half north 
of where my row crop farm is brings a smile to my face.
    I want to talk a little bit about really the family farm 
and the future of the family farm. I am a fourth-generation 
farmer. I am a farm kid and a product of the 1980s when we had 
some really tough times, and the message to farm country was, 
this is no life for you, get off the farm, we can't make it. 
Interest rates are too high. Commodity prices were too risky. 
You know the routine. And now we fast forward, and I am raising 
the fifth generation.
    And I look at egg trade deficit. I look at the inputs that 
continue to cripple us. I look at a stagnant market. And so as 
I look to what we were able to do in the reconciliation 
package, the Big Beautiful Bill, there are some things that I 
would like to hear your thoughts on. And specifically to me, as 
I get closer to 50 and further away from 40, I start thinking 
about things like what does passing the farm on look like?
    Secretary Rollins. Yes.
    Mr. Finstad. And farmers of my size really are crippled 
with the fact that if we were to gift or to, God forbid, hit 
the pearly gates early and our kids are left with our farm, do 
they sell land just to pay the tax bill?
    Secretary Rollins. Right.
    Mr. Finstad. And so in the reconciliation package, I am 
really proud of the fact that we were able to take a look at 
the death tax, the estate tax, but more specifically the 199A, 
the 45Z, the 179 deductions, and the permanency that we were 
able to make in that. So I would like to hear your thoughts on 
maybe the business side of farming and what we were able to 
accomplish in the Big Beautiful Bill through the House here and 
maybe give a message of hope to the fifth generation of my farm 
and what it looks like to be a farmer in Minnesota in the 
future.
    Secretary Rollins. Yes, thank you for that. And the best 
part about my job in the last 118 days, we have been nonstop on 
the road, been to your amazing state, been to I think 17 or 18 
states at this point, two countries, we will continue, but just 
meeting with the farmers and hearing from them specifically. 
Everywhere I go, I will do two or three roundtables so I can, 
it is not one or two. It is a 15, 20, 25 person roundtable and 
just hearing from people just like you who are third, fourth, 
fifth, sixth, seventh generation farmers. And the number one 
concern that always comes up is how do I preserve this way of 
life for my children and my children's children?
    And that has really struck me as perhaps when I leave, 
hopefully in 3\1/2\ years, but perhaps when I leave, if there 
is one thing I could have done, it would have been to make the 
road smoother for the generations coming behind you and coming 
behind me to stay in this way of life. And so about a month 
ago, I told the team, I said, we have to come up with a--I am a 
policy person at heart. We have to come up with a slate of 
policy that allows this to continue indefinitely.
    And as we hit year 250 for the American dream and the 
American birthday, a country that was founded on farming and 
farmers, that was fought by farmers in the original revolution, 
that the entire fabric of our nation is based on that 
discipline and hard work and love of country, I just can't 
underscore how important this is.
    And so the work that you all did in the Big Beautiful Bill: 
whether it was protecting two million family farms from the 
death tax, whether it was making sure we have $10 billion in 
tax cuts going to our family farmers, whether it was a $3.8 
billion increase in income to our family farmers, whether to 
your point, the 45Z and extending that to 2031, these are 
gamechangers. And I will do whatever I can all day, every day 
to ensure that it moves forward in a significant way.
    Having said all of that, if we don't open up these world 
markets, if we don't bring down the cost of inputs, if we don't 
ensure that our family farms have a prosperous future where 
they are not reliant or mostly reliant on the government 
payout, then we won't get to the next 250 years and be the 
America that we are today. That is how seriously I take this. 
So thank you for your work, and thank you for the opportunity 
to partner on that.
    Mr. Finstad. I appreciate that. And in the few seconds that 
I have left, I mean, I will just tell you that the farmers that 
I have the honor of representing southern Minnesota tell me all 
the time that they want to farm for a market. They don't want 
to farm for the mailbox.
    Secretary Rollins. That is right.
    Mr. Finstad. They don't want the government to have to step 
in because they want a market that produces, and they want to 
run their business as a business. So I really appreciate your 
thoughts and appreciate the passion that you bring to this role 
and looking forward to your continued leadership.
    Secretary Rollins. Oh, thank you, Congressman.
    Mr. Finstad. You bet. All right. With that, we will go to 
Mr. Gray.
    Mr. Gray. Thank you, Mr. Chairman, Ranking Member Craig. 
Secretary Rollins, thank you for appearing here today. It is 
nice to see you again. We met at your first day on the job.
    Secretary Rollins. Yes, we did.
    Mr. Gray. I came over with the Chairman. You were nice 
enough to give me your cell phone number so we could keep in 
touch.
    Secretary Rollins. Yes. Good to see you.
    Mr. Gray. Nice to see you again. Next time, we will make 
sure we invite.
    Secretary Rollins. Yes. Don't take it personally.
    Mr. Gray. So my district lies in the heart of California's 
Central Valley, a region that feeds the nation and much of the 
world. We produce over $59 billion in agricultural output each 
year, accounting for one in every four bites of food consumed 
by Americans daily. We grow almonds, dairy, citrus, tomatoes, 
cotton, you name it, and we do it with less water, less margin 
for error, and more climate risk than just about anywhere else 
in the country.
    What keeps us competitive and what keeps us resilient is 
research and innovation. My district is home to both UC Merced 
and Merced College, both institutions that are leading the 
country in that respect. At Merced College, the Ag Tech 
Workforce Initiative is redefining how we train and up-skill 
the next generation of agricultural professionals. 
Complementing this effort, we have a 22,000 square foot Ag 
Innovation Center. UC Merced is home to one of the most 
cutting-edge smart farms in the country, all of this supported 
through Federal and state investments, including the $65 
million F3 award benefiting both those institutions and those 
programs.
    These institutions produce the science that allows 
agriculture in the valley to stay ahead of diseases, water 
scarcity, global competitors, and we are not talking about the 
ivory tower theory here. We are talking about cutting-edge, 
applicable, and exciting research happening every day in our 
universities and, more importantly, on our farms. This leads to 
better irrigation systems that stretch every drop of water, 
pest and drought resilient crop varieties, carbon-smart 
techniques that boost soil health and reduce emissions. These 
are the very tools that will shape the future of agriculture, 
not just in California, but throughout the country.
    And yet, the USDA's 2025 budget proposal slashes millions 
in agricultural research and farmer support. While we are 
reducing our investment in American ag research, countries like 
China and Brazil are doubling down. They are building new 
research stations, funding climate-resilient agriculture, 
dominating global markets with lower costs and higher volume. 
If we want American agriculture to remain the global gold 
standard, we cannot afford to fall behind in innovation.
    And let's be clear, food security is national security. 
When USDA cuts research funding, it is not just scientists who 
lose out, it is farmers trying to manage water shortages, it is 
dairy producers investing in affordable feed alternatives or 
methane digesters and other technologies to help them remain 
competitive.
    So Madam Secretary, these cuts send the wrong message that 
rural America is expected to do more with less, that we will 
figure it out without the resources or tools our competitors 
are using to leap ahead. I know budgets are tight, but cutting 
research is both short-sighted and fiscally irresponsible.
    So Secretary Rollins, my question is two-part. One, how do 
you and I collaborate and how do we collaborate here in 
Congress as a body to ensure that this Administration starts to 
prioritize these critical investments that will be the 
foundation of agriculture and farming over this next 100 years? 
And two, can I get a commitment from you that you will come to 
my district and let me show you firsthand the innovation and 
breadth of production that makes up the greatest and largest 
farming valley in the world?
    Secretary Rollins. Yes, the last question first, I would be 
honored to come visit. If I could provide a little context 
though because I do think your points are salient and they are 
important, but in the budget, we only cut about seven percent, 
and that went from $2.1 billion with ARS to $1.9 billion, and I 
understand what you are saying, that is still seven percent or 
7.6 percent I think, but that was very specific to some 
outdated facilities that weren't online and weren't producing 
the research that was necessary.
    We remain wholly committed to the research that you 
mentioned, the university that you mentioned. I am a product of 
a land-grant, Texas A&M out of Texas, really believe in the 
work that is being done. And to your point about national 
security, it is more important today than ever before that we 
continue that.
    Mr. Gray. Well, Madam Secretary, I appreciate that 
response, and I look forward to hosting you in Merced and 
throughout the San Joaquin Valley. It is a beautiful place, and 
we do some incredible things there. And, you have said this 
Administration supports agriculture, you have said you want to 
level the playing field for rural producers. I would certainly 
like to work with you----
    The Chairman [presiding.] The gentleman's time has expired.
    Mr. Gray. Thank you.
    Secretary Rollins. I look forward to that, thank you.
    Mr. Gray. Thank you, Mr. Chairman. I yield back.
    Secretary Rollins. Thank you.
    The Chairman. I am now pleased to recognize the gentleman 
from Texas, Mr. Jackson, for 5 minutes.
    Mr. Jackson of Texas. Thank you, Mr. Chairman. Thank you, 
Madam Secretary, for being here today. We appreciate your time. 
I just want to tell you, start off by saying the great State of 
Texas is really proud of you. You did a wonderful job. We 
really appreciate it.
    Secretary Rollins. Thank you.
    Mr. Jackson of Texas. I will say that, during the Biden 
Administration, the USDA was weaponized to push identity 
politics, green energy scams, and lots of other things that 
were the detriment of rural America and our agricultural 
producers. Once again, on behalf of myself and the hardworking 
farmers and ranchers of Texas' 13th Congressional District, I 
want to thank you, Madam Secretary, for returning the USDA to 
its original mission of taking care of all of these that feed 
and clothe our country.
    I have the pleasure, as you know, of representing the 
largest fed cattle district in the United States, and my 
feeders rely on imports of live cattle from Mexico to 
supplement their feedyards and remain competitive in what they 
do.
    I understand that the restriction on live animals was not 
an easy choice and that the USDA made that to protect America's 
herd health. But every day that imports are suspended, my 
constituents, their businesses are severely impacted.
    Madam Secretary, I just wanted to ask you, as you mentioned 
in your testimony, the USDA is currently reviewing the import 
suspension every 30 days. Could you please describe to us, what 
are the metrics the agency would like to reach before resuming 
reentry of live cattle, and what can this Committee do to 
enhance inspection activities at U.S. ports of entry along the 
southern border once the suspension is lifted? We want to do 
everything we can to get this over as quickly as possible.
    Secretary Rollins. Yes, I hear you, and realize this is a 
significant, significant decision with big, big, big 
consequences for not just Mexico, but for us, for Texans and 
for the industry. The 30 days is our benchmark, but we are 
assessing every single day. The metric that we are looking for 
is to watch the screwworm retreat south. It basically moved 
from about 1,100 miles from the border to 700 miles from the 
border within just a matter of weeks, which again, we hadn't 
seen that kind of movement in decades. I can't underscore 
enough what a dire situation this is. We have put tens of 
millions of dollars into additional sterile fly production 
south of the border. We will have a significant announcement in 
a couple days to continue expanding on that.
    I am in almost daily touch with Secretary Berdegue of 
Mexico. The challenge is that the sophistication of their data 
collection, not surprisingly, south of the border is not up to 
our standards. So they have, I will give them credit, more than 
ever before, at least in our team's partnership, have been more 
open and more willing to allow our team on the ground to 
ourselves assess the situation. But please know, please know, 
that every day we are on this and we understand the consequence 
of this decision and are working so hard to be able to open 
those ports back up.
    Mr. Jackson of Texas. Thank you. I appreciate that. And 
obviously, the sterile fly facility is going to help with 
dealing with this from the long-term so that we don't get, like 
you said, in a situation where it plagues us for the next 30 
years.
    Secretary Rollins. Yes.
    Mr. Jackson of Texas. But yes, anything we can do on the 
short-term, that is going to be key for the folks that I 
represent right now.
    I also wanted to applaud your leadership in quickly and 
effectively delivering desperately needed economic assistance 
for America's farmers and ranchers. While the last 
Administration delayed critical disaster assistance to promote 
identity politics, which, just was unthinkable, your agency is 
working to swiftly deliver support to producers that will help 
them remain in operation. As we continue to move towards the 
implementation of the Supplemental Disaster Relief Program, how 
are you ensuring that our farmers who suffered from indemnified 
losses and shallow losses are compensated in a timely fashion?
    Secretary Rollins. I am really proud of this. I think 
relative to--and not to throw the last Administration 
completely under the bus, I think this is true of many of the 
Administrations before us, but we have moved more quickly than 
even most people thought possible. The ECAP, of course, went 
out ahead of time, and you send your paperwork in. Within 3 
days, we turn the funding around. The next tranche is the $20 
billion. The $10 billion was the first tranche. The $21 
billion, we have already begun to move that out. You probably 
are tracking the livestock piece was the first piece.
    Mr. Jackson of Texas. Yes.
    Secretary Rollins. In Texas alone, 41,000 producers, 2023 
losses; 13,000 producers, 2024 losses. That money is moving. We 
have already begun distribution and should be finished in the 
next 30 to 60 days with all of it. There are some hangups with 
the Northeast block grant, but for Texas and the livestock, it 
is moving very quickly.
    Mr. Jackson of Texas. Well, thank you. I appreciate it. I 
think you are doing a great job. It is much faster than it used 
to be, and it hasn't been so much the ability to get the relief 
approved, but to get it delivered to those who need it, so 
thank you for what you are doing.
    Secretary Rollins. That is right.
    Mr. Jackson of Texas. With that, Mr. Chairman, I yield 
back.
    Secretary Rollins. Thank you.
    Mr. Jackson of Texas. Thank you.
    The Chairman. Thank you. The gentleman yields back.
    I am now pleased to recognize the gentleman from Alabama, 
Mr. Figures, for 5 minutes.
    Mr. Figures. Thank you, Mr. Chairman.
    Secretary Rollins, pleasure to meet you. My feelings are 
hurt that I was not one of the cool kids that got to come over 
in the early days of you coming on board.
    Secretary Rollins. We will fix that.
    Mr. Figures. But I appreciate you being here, also 
appreciate your staff getting you ready for this. I have been 
in their shoes before in preparing an Executive Branch 
official, a Cabinet agency head for this sort of testimony.
    Secretary Rollins. Yes. It is a lot of work.
    Mr. Figures. It is.
    Secretary Rollins. Yes.
    Mr. Figures. It is indeed. I represent Alabama, the 2nd 
Congressional District of Alabama, which includes Mobile, 
Montgomery, Tuskegee, Troy, Phoenix City, and a bunch of other 
places I am sure you have never heard of. But within it is 
Tuskegee, formerly the Tuskegee Institute, now Tuskegee 
University, one of the land-grant colleges.
    Secretary Rollins. Yes.
    Mr. Figures. We also have Alabama A&M University in the 
State of Alabama, another land-grant college. And given USDA's 
history, particularly in the State of Alabama, one of my 
colleagues earlier mentioned how about 50 percent of the Black 
farmer litigation settlement money is coming to Alabama. There 
is a sensitivity there----
    Secretary Rollins. Yes.
    Mr. Figures.--just given historical race relations with 
USDA--obviously, that predated you, in how USDA treats minority 
communities, particularly in the State of Alabama. And so 
through that lens, the suspension of the land-grant scholars 
program was something that resonated a little bit differently 
for us in Alabama. And just in looking at a timeline--look, 
trust me, I want to grill you on the things that I think you 
are fully responsible for and praise you for things as well.
    Secretary Rollins. I appreciate that.
    Mr. Figures. But looking at the timeline, I kind of doubt 
it was you that made that full decision and pushed that full 
process, just given when you were confirmed, when the 
suspension was announced, when the suspension was reversed. And 
so I want to get to a little bit of the bottom of how we got 
there because that really impacted a lot of students across the 
country, especially at Tuskegee University. And that university 
has done a lot in terms of ag. We know the history of George 
Washington Carver and what they have meant.
    So my question to you is, first, twofold. One, the 1862 
schools also have the same land-grant scholar program. Is that 
correct?
    Secretary Rollins. I believe that is correct, but I want to 
confirm that.
    Mr. Figures. All right. Thank you. And it is also my 
understanding that when the 1890 land-grant scholar program was 
paused, that funding was paused, that it was not paused for the 
1862 schools. Is that your understanding of it?
    Secretary Rollins. I need to research that. I am so sorry. 
I don't have that off the top of my head.
    Mr. Figures. Got it, no problem. Media reports and what was 
uploaded on the website indicates as much.
    Secretary Rollins. Yes.
    Mr. Figures. And so given that history that I just alluded 
to, it feels bad. We have had some people talk about identity 
politics, but it feels that, when you have the 1862 schools, 
which are the Texas A&Ms and the LSUs, historically White----
    Secretary Rollins. Auburn.
    Mr. Figures.--when they were established, segregated 
institutions, their funding is not touched. But then you have 
the 1890s, which were all historically Black colleges that are 
post-Civil War. Their funding was stopped. That feels 
problematic based on identity. And that was something that we, 
obviously, took issue with, and it was reversed within 5 days. 
But I feel like looking at that timeline, that that was 
something that was already in motion before you were confirmed. 
And so my question is, was that a product of DOGE, or was that 
the product of--like how did we get there, I guess, is the 
first question.
    Secretary Rollins. Yes, and I wish I knew the answer to 
that because it was before my time. But I will say this, that I 
was in the first Trump Administration. We were the first 
Administration to guarantee full funding for the HBCUs.
    Mr. Figures. And I am not questioning your commitment to 
them.
    Secretary Rollins. No, but I want----
    Mr. Figures. I just want to make sure----
    Secretary Rollins. I think it----
    Mr. Figures.--that we don't end up there with some future 
funding----
    Secretary Rollins. Yes----
    Mr. Figures.--that----
    Secretary Rollins. No, sir, I appreciate that, and I take 
it to heart. And I understand the optics. I do. And I think it 
is important to note that this Administration is very committed 
to those universities and have been unequivocal in saying so.
    Mr. Figures. I appreciate it. And I don't want to cut you 
off.
    Secretary Rollins. The early days were imperfect.
    Mr. Figures. I just want to capitalize on my last 45 
seconds here.
    Secretary Rollins. Yes, sorry.
    Mr. Figures. But thank you for that, and definitely want to 
work towards making sure that that does not happen again 
because it feels very racially motivated when the----
    Secretary Rollins. I can promise you it was not racially 
motivated. I think it was just an imperfect process that was 
happening.
    Mr. Figures. Well, I can appreciate that. I can appreciate 
that.
    Last thing that I have time for, and I will follow up with 
you on some other things because I would love to sit down with 
you is rural hospitals in my district are among the worst in 
the country.
    Secretary Rollins. I would welcome that.
    Mr. Figures. We have 26 rural hospitals in the State of 
Alabama that have been rated at risk of closure. We have 22 
that are rated at immediate risk of closure. We have several in 
my district that are month to month. They have to go borrow 
money or get money from the city council or county commission 
every single month just to be able to make payroll.
    Secretary Rollins. Yes.
    Mr. Figures. We need help with that to keep these 
communities open. They support our farmers. They support the 
industries that are left in our rural communities. And I really 
want to sit down with you and figure out ways we can leverage 
the programs that you guys have to support rural hospitals to 
keep them open in my district and across the state in this 
country.
    Secretary Rollins. I can't tell you how important I think 
that is. And we talk a lot about farming and agriculture that 
is the driver, but the rural piece of this and having thriving 
rural communities, you can't do that without the hospitals, the 
housing, the childcare, et cetera, so I am very focused on this 
for the long term.
    The Chairman. The gentleman's time has expired. I now 
recognize the gentleman from Tennessee, Mr. Rose, for 5 
minutes.
    Mr. Rose. Thank you, Chairman Thompson and Ranking Member 
Craig, for holding this vital hearing today. And thank you, 
Secretary Rollins, for your testimony and joining us today.
    I want to begin by applauding the Trump-Vance 
Administration on the nomination of now-Secretary Rollins to 
lead the U.S. Department of Agriculture and guide the backbone 
industry of our country.
    Secretary Rollins, I appreciate your diligent work thus far 
delivering on a new and empowering era for our farmers and look 
forward to working with you to secure a prosperous future for 
all of rural America. As a fellow former State FFA officer and 
a former commissioner of agriculture and a fierce conservative, 
I am confident the Department will continue to thrive under 
your leadership. And I would be remiss if I didn't say I was 
not excited about your newly confirmed deputy secretary, 
Stephen Vaden----
    Secretary Rollins. From Tennessee, yes.
    Mr. Rose.--from our own State of Tennessee. He is a dear 
friend and I know will be a capable ally and----
    Secretary Rollins. Yes, he will.
    Mr. Rose.--assistant to you.
    Secretary Rollins, thank you for your swift action in 
suspending the implementation of the previous Administration's 
overreaching and impractical rule, the Horse Protection Act 
amendments. As the Department engages with qualified 
individuals to restructure the rule, can you highlight details 
of the Administration's plan to ensure a new rule has not only 
longevity and remains practical for equestrian industries, 
specifically the Tennessee Walking Horse industry?
    Secretary Rollins. Well, I think the first conversation I 
ever had with Stephen Vaden, who I did not know before this 
process began about 6 months ago, was about this rule. So you 
have no greater advocate. I would like to say I am going to be 
the greatest advocate. I am a horse girl. I grew up showing 
horses, but I don't think I beat Stephen Vaden. So listen, our 
commitment is that we are here for 4 years. We are going to do 
everything we can to do right by our agriculture community, 
including our horse community. But if it all whiplashes back 
the day that we leave, then it perhaps is for naught. And so 
ensuring that we can do this in an intentional way with 
longevity is of utmost importance, so we really look forward to 
your partnership in that.
    Mr. Rose. Well, thank you, Secretary Rollins. And I don't 
want to speak too much for the Chairman, but he has enjoyed 
riding a Tennessee Walking Horse himself----
    Secretary Rollins. I love it.
    Mr. Rose.--and invite Ranking Member Craig to come down and 
experience that. And I think anyone who rides a Tennessee 
Walking Horse will understand what has made them so popular 
through the years, so thank you for that commitment.
    I am proud of the investments in production agriculture 
Republicans secured in the House version of the One Big 
Beautiful Bill Act that passed recently on the House side. 
However, we are still on the clock, you might say, to pass a 
farm bill with robust provisions that strengthen rural America.
    Madam Secretary, as we turn our focus to passing a new farm 
bill, can you highlight some of the titles and programs 
Congress should prioritize from your perspective to ensure that 
this legislation provides the necessary tools to bolster 
farmers and landowners?
    Secretary Rollins. Well, I think that a lot of that, 
obviously, is in the Big Beautiful Bill hopefully will stay in 
to the finish line. But if not, or if so, the continued effort 
on reference prices is so important for the viability and 
continuing work.
    Obviously, the rural prosperity part of this, we will see 
what that looks like, but I will be rolling something out on 
that very soon in partnership.
    The lot of what we are already talking about, of course, 
SNAP reform is a major, major issue. We have talked a lot about 
that today. Of course, that is 85 percent of the farm bill 
depending on how you slice the cheese. So there is a lot that 
we can prioritize, but ultimately, continuing to put our 
farmers first, moving toward a new era of prosperity, opening 
up markets, bringing down inflation and the cost of inputs, 
ensuring we have the crop protection tools that we need, all of 
the above is important. I am not sure there is, frankly, a more 
important effort once we get through this reconciliation bill 
and effort than the farm bill will be in just a little while.
    Mr. Rose. Well, thank you. And you mentioned opening 
markets. In my lifetime--and we are not that far apart in age--
thankfully, for most of my lifetime, the U.S. has enjoyed a 
trade surplus with respect to agricultural products. But we saw 
during the prior Administration that change to a considerable 
trade deficit. And I think that is driven by a number of 
factors, but first among them is the lack of focus by the prior 
Administration on opening markets. So in the last 20 seconds, 
if you could speak to what you can do as Secretary and what the 
Administration will do to open markets for U.S. agricultural 
products abroad.
    Secretary Rollins. We will be relentless, and we will not 
sleep until those markets are open. And I think you see an all-
of-government approach. And I have mentioned this, but let me 
repeat quickly because I know we are out of time. Just in my 
first two trips, first to the UK, second to Italy, headed to 
Vietnam, Japan, and India in a couple of weeks, then down to 
Peru and Brazil and others, the encouragement, the meetings I 
have had, not just with the government, the important piece of 
this is with the private-sector as well. In Italy, a week and a 
half ago, I was meeting with the soybean buyers, the Italian 
soybean buyers. And they are so excited. I am meeting with them 
again in a week. They are coming to America to talk about this, 
that the sky, I believe, is the limit for this new era for our 
farmers and ranchers.
    Mr. Rose. Thank you, Madam Secretary. Mr. Chairman, I yield 
back.
    Secretary Rollins. Thank you.
    The Chairman. The gentleman's time has expired.
    I am now pleased to recognize the gentlelady from Maryland, 
Mrs. McClain Delaney for 5 minutes.
    Mrs. McClain Delaney. So thank you, Secretary Rollins. I 
really appreciate your deep preparation today. You are diving 
into the figures and really having the ability and receptivity 
to following up with each of our offices.
    It really makes a difference.
    Secretary Rollins. Thank you.
    Mrs. McClain Delaney. I did watch your children. They were 
very patiently waiting. And I, too, have an 18 year old 
daughter, and she is headed to Texas for college in the fall.
    Secretary Rollins. Oh, that is--well, where in Texas?
    Mrs. McClain Delaney. TCU.
    Secretary Rollins. Oh, that is my hometown. At least you 
didn't say Texas. If you said the University of Texas, that 
would have been tough. But no, that is great.
    Mrs. McClain Delaney. Oh, my gosh.
    Secretary Rollins. That is a great place.
    Mrs. McClain Delaney. I have four daughters. So anyway----
    Secretary Rollins. Oh, congratulations.
    Mrs. McClain Delaney.--I grew up in a farming family in 
Buhl, Idaho. I would have been a fourth-generation farmer had I 
not moved to Maryland. But I really appreciate farm country and 
rural America.
    But I represent the 6th District of Maryland, and it 
stretches from the tech hubs of Montgomery County to the 
orchards and farms of Frederick and Allegany and Garrett and 
Washington Counties. And I love the conversation about the 
dairy farmers because we have a lot of dairy farms in 
Washington County.
    But Maryland has over 12,000 farms, and we support over 
83,000 jobs, and it generates billions a year. But when I spoke 
with all of our five farm bureaus and our farmers and our 
ranchers, they are really very concerned about cuts to 
agricultural education and research, the tariffs, obviously, 
and unstable markets. And it is a tsunami of challenges.
    I will follow up with some questions at the end because I 
won't get through to all of them, but I have two key concerns 
from my constituents. One is about rural broadband access, and 
one is about staffing challenges at the Farm Service agencies. 
And they just really want kind of a roadmap on what is ahead.
    So I did listen to your confirmation hearing, and you were 
very articulate. But you did say, when farmers prosper, rural 
America prospers. And I so agree with that because you pledged 
to do everything in your power to help farmers, ranchers, and 
our communities thrive. But I believe that access to 
affordable, high-speed broadband ensures that rural America 
thrives. And I had the privilege of serving at NTIA and helping 
roll out the broadband.
    The President's budget slashes rural broadband funding at 
USDA and freezes the ReConnect Program entirely. And I also saw 
the NTIA budget would be cut by 19 percent. This is really 
concerning to me. If broadband is the backbone of economic 
opportunity, as I believe it is, how do you intend to ensure 
that our farmers and ranchers aren't left behind? And do you 
have a clear roadmap or strategy about coordination of USDA 
funds with other funding streams? Because it is really 
important that we get this done.
    Secretary Rollins. I couldn't agree with you more. I will 
look into--I am going to make a note to myself--that specific 
program you mentioned, the ReConnect. The President has been, 
again, resolute in his commitment to ensuring that all of rural 
America is connected. In the last Administration that I served 
with him, this was a big part of our effort. So let me look 
into that specifically and get back to you. I think that is 
really important.
    Mrs. McClain Delaney. The USDA freezes too, as well.
    Secretary Rollins. The USDA freezes specifically. And then, 
of course, as innovation changes with satellite and others, 
there may be better ways for that connectivity, but would 
really look forward to working with you and potentially 
identifying what that looks like.
    Mrs. McClain Delaney. Yes, and I would love to follow up on 
that because I did a lot in the satellite and fiber arena. 
There are a lot of challenges along that area.
    Secretary Rollins. Yes.
    Mrs. McClain Delaney. And then the second is really 
something that was brought up by our five farm bureaus, and it 
is a pressing problem. There are ongoing staff shortages at 
Maryland's Farm Service Agency, and it is really risking delays 
in services for our farmers. Right now, the state office lacks 
a state executive director, and filling this leadership role is 
really urgent. Maryland already has a qualified candidate ready 
to step into the role and provide this assistance. And, 
obviously, with 15 percent of USDA having left, it is really 
important to have expertise within the states and fill these. I 
just wanted to know if we could follow up with you and if you 
had any insights into that.
    Secretary Rollins. That would be great. I know we have 
moved out a lot of those state directors. Obviously, you would 
know--if you haven't heard we have done Maryland, then we 
probably haven't, but let me check on that and get back to you. 
I honestly am really looking forward in this next sort of month 
or 2 to lean into this FSA question.
    Mrs. McClain Delaney. Really important.
    Secretary Rollins. I want to understand where all the 
states are, where the offices are, the 4 hour wait times I keep 
hearing about from people calling in. They are only open 
Tuesday and Thursday until noon.
    Mrs. McClain Delaney. Yes, I am hearing about it too, so 
yes, that would be great.
    Secretary Rollins. Yes, that is unacceptable. And so 
whatever we need to do, we will solve for that. I have not had 
the time yet to do it, but that is next so----
    Mrs. McClain Delaney. Great. Okay. And I will just say, in 
closing, I will be submitting a couple of questions for the 
record, including about our Maryland University research and ag 
innovation research, nutrition assistance, and then your 
Supplemental Disaster Relief Program because we had historic 
flooding in Allegany County. So thank you.
    Secretary Rollins. Okay. I would welcome that. You got a 
good basketball coach from Texas A&M, by the way.
    Mrs. McClain Delaney. I yield back.
    Secretary Rollins. He is very good. Yes.
    The Chairman. The gentlelady's time has expired.
    I now recognize Mr. Nunn from Iowa.
    Mr. Nunn. Well, thank you, Mr. Chairman, and thank you, 
Secretary Rollins, again, for joining us here. You came as one 
of the first states to the great State of Iowa, which is a 
large leader in corn, soybean, hogs, and eggs, and thank you 
for bringing down the price of eggs. It seems like a small 
thing, but when you are a dad of six kids, it matters, and to 
this country, it matters. Your leadership made that happen. 
Thank you very much.
    While you are there, I want to say thanks, first and 
foremost, for learning about biofuels in a really meaningful 
way and what this Committee and this team on both sides of the 
aisle have done to make this a priority. You came to the Mann 
Family Farm and you saw what it means to be able to have a 
generational family farm.
    Secretary Rollins. Yes.
    Mr. Nunn. You are a daughter of the farmland, as it were, 
and you helped make it a priority for other families to have 
the same success.
    I also want to say thank you for your quick work. When we 
looked at actions here in D.C. having consequences, we were in 
danger of Iowa State losing some of those frontline folks who 
were providing treatments and vaccines and protection for 
turkey flocks that were culled by \1/2\ million. And because of 
your work, we were able to save not only those jobs that were 
important, but they were critical for USDA security on the 
frontline of agricultural health.
    Secretary Rollins. Thank you.
    Mr. Nunn. Last, I want to talk about one of the things that 
was a top issue for so many of our farmers when you came to our 
farm forums. It is about finding new markets.
    Secretary Rollins. Yes.
    Mr. Nunn. Challengingly, for the last 4 years, the Biden 
Administration left us with zero new trade deals. We went from 
trade equity in ag to a $50 billion deficit. That is real money 
out of family farms, and that is real hardship going forward 
for every one of us who enjoys paying a reasonable price at the 
grocery store.
    I am so proud that with our Chairman, we were able to move 
forward $285 million for permanent, mandatory, year-over-year 
funding for trade promotion that this Committee on both sides 
secured in the reconciliation bill. Now, funding is critical, 
but so is follow-through.
    You heard from farmers at our roundtable that they don't 
want a handout. They want to be able to sell their product. And 
I want to say thank you so much for the trade work that you 
have already taken because when you left Iowa, you took the 
leadership role to go see the world. And we have heard about 
trips to Europe, trips to Southeast Asia. You will be working 
with India and Brazil. These are all great and important 
opportunities for America to not only help feed and fuel the 
world, but to make sure we are strong right here at home, so a 
salute to you, Secretary Rollins.
    Secretary Rollins. Yes, thank you.
    Mr. Nunn. I do want to raise a concern that we have 
experienced. In Iowa, we have seen Chinese theft of 
intellectual property, literally Chinese nationals coming into 
Iowa and taking corn seed out of the ground to take back to 
China. Now, the FBI caught them, but that was in 2011.
    Just this week, we have seen three different scenarios of 
Chinese nationals who have pledged loyalty to the Chinese 
Government bringing pathogens into the United States, including 
fungus, that could decimate our crops. Had these biological 
actions been taken, it would have devastated----
    Secretary Rollins. That is right.
    Mr. Nunn.--not only our ability to grow, but potentially 
loss of life here in the U.S.
    That is why I am proud to be working with Mr. Riley here 
from New York on a bipartisan bill. It is called the PLANT Act, 
Prevent Lethal Agriculture and National Threats Act. The 
reality here is that we have a very high standard, and I am 
asking for USDA's help in this in making sure that our Federal 
agents close these dangerous loopholes that allow things like 
this to enter our country. As it stands now, Federal 
prosecutors must prove an intent to commit terrorism to bring 
charges, and the reality is these guys are a clear threat 
today.
    Madam Secretary, would you agree that we need to strengthen 
our legal tools to hold these individuals accountable for the 
threats they are bringing to the United States?
    Secretary Rollins. Absolutely, yes. And as we look to 
release, build, implement, execute a national security plan in 
the agriculture world, this is going to be a very important 
part of that.
    Mr. Nunn. One of the things that we would like to do is 
also encourage you not only to identify the threat that is 
coming in, but what they potentially could do here. We have a 
real scenario in which the bioterrorism and the agroterrorism 
that is coming in here will have impact far greater, so I 
appreciate not only your support in that, but your leadership.
    Secretary Rollins. Yes, thank you.
    Mr. Nunn. Madam Secretary, we just want to also say thank 
you so much for taking time in Iowa. I am going to be showing 
cattle this year at the Iowa Charity Steers.
    Secretary Rollins. I think we are going to be competitors, 
aren't we?
    Mr. Nunn. I think you are going to be competitors with me.
    Secretary Rollins. Yes.
    Mr. Nunn. I encourage you, you can take on my daughters, 
they are showing sheep, and the youngest one is showing a 
Persian cat, so if you want to bring it to the field you are 
welcome.
    Secretary Rollins. Of course, the Persian cat.
    Mr. Nunn. You are welcome to the Iowa State Fair any time.
    Secretary Rollins. My steer showers have now left, but yes, 
they are all Hereford cattle showers too.
    Mr. Nunn. Well, we are very grateful for the work you have 
done on both sides of the aisle here.
    Secretary Rollins. Thank you.
    Mr. Nunn. This is a bright future for Iowa's farm families 
and they have you to really thank for opening up those new 
markets.
    Thank you very much, Mr. Chairman. I yield my time back.
    Secretary Rollins. Thank you.
    The Chairman. The gentleman yields back.
    I now recognize the gentleman from California, Mr. 
Carbajal, for 5 minutes.
    Mr. Carbajal. Thank you, Mr. Chairman.
    Welcome, Secretary Rollins.
    Secretary Rollins. Thank you.
    Mr. Carbajal. First of all, let me just say thank you for 
seeing the light and reopening the eight out of the nine USDA 
offices in California that you closed and then realized it was 
creating a lot of chaos for many of our farmers and would have 
a really negative impact. You have reopened those, and I want 
to thank you for that.
    I represent the Central Coast of California where 
agriculture is the number one industry, and a wide range of 
specialty crops are grown. When I meet with growers back in my 
district, one of the major issues they mention is the labor 
shortage. I am sure you are aware the Administration has 
intensified its deportation efforts, which have created 
significant fear and uncertainty within California's 
agriculture labor force. In fact, yesterday, a Farm Bureau in 
my district publicly voiced concerns over the impact of these 
enforcement actions.
    And Mr. Chairman, I would like to ask for unanimous consent 
to submit for the record the Ventura County Farm Bureau 
statement if I may do so.
    The Chairman. Without objection.
    [The press release referred to is located on p. 156.]
    Mr. Carbajal. I am going to give you that.
    Madam Secretary, given the uncertainty of this immigration 
climate as it relates to agriculture labor, what specific steps 
is the Department of Agriculture taking to support both farmers 
and the workforce?
    Secretary Rollins. Well, thank you, and let me be clear. I 
think it was a lease confusion with GSA. I don't think it was a 
USDA question, but neither here nor there. I am glad those 
offices are open for our farmers again.
    The labor question is a significant one. It is one that is 
perhaps maybe not the very top of the list, but for some they 
would say the very top of the list. We feel it. I mentioned 
earlier that in Texas, the citrus producers on the Texas side 
of the border on average pay labor $23 if they can even get the 
labor. On the other side at the Mexican border, it is $2 an 
hour. This is unsustainable, and our ag community cannot 
continue to do what they need to do under the current effort.
    Clearly, the President has a vision that I support of 
ensuring that we have legal immigrants in this country, but he 
also recognizes--I spoke with him this morning and yesterday--
the shortages in the labor market, especially in the 
agriculture community. On April the 10th, at our second or 
third Cabinet meeting, he spoke in front of the cameras on this 
and said to Lori Chavez-DeRemer, also herself from a farming 
background from Oregon, but also California farming roots, our 
Labor Secretary, in concert and partnership with this Committee 
and Congress, we have to fix the H-2A program and ensure that 
we can make certain that these producers have the labor that 
they need to feed not only America, but the world.
    Mr. Carbajal. Thank you. Well, they are creating a lot of 
fear and uncertainty, and a lot of this limited workforce is 
quite frankly not showing up to harvest on our farms. Just 
yesterday, we had some immigration raids on some of the farms 
that are within my district, thus the statement that I just 
submitted.
    Secretary, I know some of my colleagues here today have 
brought up the issue with H-2A, and during your testimony 
before the House Agriculture Appropriations Subcommittee last 
month, you mentioned that you were working with the Department 
of Labor and the White House to reform the H-2A program. Can 
you provide an update on the progress of those efforts, and 
would the Administration support the bipartisan legislation 
such as the Farm Workforce Modernization Act of 2023 (H.R. 
4319, 118th Congress), which is one bipartisan, Secretary 
Chavez-DeRemer was one of the coauthors of that, and I want to 
just draw that to your attention.
    One, would you support that? And for your awareness, 
current Secretary Chavez-DeRemer, again, is a cosponsor, and I 
would appreciate your response to that.
    Secretary Rollins. Well, clearly, the real reform has to 
come from Congress. I mean, I don't mean to pass the buck, that 
is not it at all, but I have had lots of conversations, can we 
do this, can we do that, can we do this, without Congressional 
authorization. To your point, I think that the leadership 
currently, our Administration realizes these significant 
challenges and are open and welcome to trying to help however 
we can to solve that, including the President, so I will 
continue that effort.
    Now, within the Labor Department, with Lori Chavez-DeRemer, 
she is very focused on this issue. We have met about it 
multiples of times. I think you will be hearing more about that 
very, very soon. But you have our commitment. We are doing 
everything we can to work to solve for that as much as we can.
    Mr. Carbajal. Thank you. Can you explain how proposed cuts 
to nutrition programs like TEFAP and SNAP benefit growers, 
especially when it is farmers who produce the fruits and 
vegetables for these programs?
    Secretary Rollins. Well, so on the one hand, you are 
talking about the food bank programs, on the other, you are 
talking about SNAP, so I will talk about SNAP first. We spend, 
at just USDA, across 16 nutrition programs, about $400 million 
a day on those nutrition programs. That is just alone. By any 
given number, up to 30 percent of that is fraud, waste, and 
abuse. At this time of unemployment, we were at 17 million, we 
are now at 42 million people on the SNAP program, so there is a 
lot of room to do better, and that is what we are going to do.
    Mr. Carbajal. I am out of time, but let me just say, fraud 
is one percent or less.
    Secretary Rollins. There----
    Mr. Carbajal. There is other--that is----
    Secretary Rollins. Sir, that is not the case.
    Mr. Carbajal. That is absolutely false, so I just want you 
to know----
    The Chairman. The gentleman's time has expired.
    Secretary Rollins. We can't even get the data----
    Mr. Carbajal. You are falsifying information.
    Secretary Rollins. That is not--that is--please send what 
you have, and then let me compare it to what we have because 
that is----
    Mr. Carbajal. Well, you could send me what you have, and we 
will both compare what we have.
    Secretary Rollins. Okay.
    Mr. Carbajal. Okay.
    Secretary Rollins. I will be happy to do that.
    The Chairman. The gentleman's time has expired.
    I now recognize the gentleman----
    Secretary Rollins. But one percent is--yes, okay. We will 
do that. We will keep the conversation going.
    The Chairman. I recognize the gentleman from Wisconsin, Mr. 
Wied, for 5 minutes.
    Mr. Wied. Well, Madam Secretary, thank you so much for your 
willingness to be here today and answer questions about the 
ongoings of the USDA. And, well, happy National Dairy Month as 
well.
    Secretary Rollins. That is right.
    Mr. Wied. As you most certainly know, as America's dairy 
land, it cannot be overstated how important agriculture and the 
entire dairy industry is to my constituents, which is 
Wisconsin's 8th Congressional District. We rank fourth in the 
country in dairy production, and the entirety of the industry, 
from milk to our world-famous cheeses, provides a $14 billion 
economic impact. It is a priority of me to support this strong 
tradition that we have in Wisconsin.
    So despite strong growing demand from international 
consumers, certain trading partners refuse to allow our 
products to compete in their markets by erecting unfounded 
barriers to trade. One of the worst offenders is our neighbor 
to the north. Canada has continued to ignore its obligations 
under the U.S.-Mexico-Canada Agreement to provide the dairy 
market access that they had agreed to in 2020.
    Since then, the Canadian Government has administered their 
dairy import quotas in a manner that intentionally limits our 
ability to reach Canadian consumers, leaving many of the quotas 
largely unfilled at the end of the year. So Wisconsin dairy 
exporters have an easier time exporting to countries on the 
other side of the world than to our next-door neighbor.
    To add insult to injury, Canada continues to offload its 
nonfat milk solids at artificially low prices on the global 
market, undercutting our producers and circumventing its USMCA 
commitments on dairy protein exports, of course, in the 
process.
    So Secretary Rollins, with the USMCA review coming up next 
year, will you commit to working with your interagency partners 
to ensure that Wisconsin dairy farmers receive the full 
benefits of the trade deal as the negotiators intended?
    Secretary Rollins. Yes, I really look forward to that. I 
think it is such a--the dynamic is so different in the best way 
this time with this Administration, not that we weren't getting 
a lot of good things done in the first Trump Administration, 
but this Cabinet is so aligned and so hand-in-glove together 
that my partners, Lutnick, Bessent, Greer, all of the above, 
the President as the negotiator-in-chief, I think that we are 
going to see some really big wins. And yes, so putting cheese 
and our dairy farmers at the top of the list is great.
    Mr. Wied. Well, that is refreshing. Thank you.
    So in Wisconsin, many multi-generational farms are at a 
crossroads. Aging farmers are ready to retire, but younger or 
beginning farmers often face steep barriers, as we know, 
limited access to capital, limited land availability, and 
economic uncertainty. Without meaningful support, farmland 
risks being lost to non-agriculture uses. What is USDA doing to 
support successful farm transitions, particularly in dairy, 
which is a big part of our district, where high capital costs, 
narrow margins, and labor challenges make it difficult for the 
next generation to take over?
    Secretary Rollins. And I mentioned this earlier, so forgive 
me for those who are having to hear it again, but in the 17 
states that I have visited so far, more states coming, 
Wisconsin being right there, the best part, but also the most 
challenging part, has been meeting with the farmers, and 
sitting in a barn or a warehouse, at a roundtable with 20 or 
30, hearing from them their biggest challenges and what we can 
do to help that. And almost every one of them is a second or 
third or fourth or fifth generation, some new farmers, too, and 
that is a different discussion. And all of them say, ``I am 
just so scared I am not going to be able to pass this on to my 
kids and my kids to their kids.''
    And so, about a month ago, we launched our Small Family 
Farm Initiative, a slate of policy items that we can work 
alongside states, ag commissioners, with you all in Congress, 
that the executive can do himself through EOs, et cetera, to 
ensure that we have just that.
    I think what is in the Big Beautiful Bill is really 
important. I think the work that you all did is just--you 
should be so commended. The death tax now not applying to the 
two million smaller farms, the additional tax cuts to our 
farmers, the $3.8 billion in additional income to our farmers, 
these are things that make a difference. But ultimately, 
expanding the market, bringing down the cost of inputs, 
protecting our crop protectants, et cetera, is just going to 
continue to be at the top of the list, and we have just got to 
do better, and that is what I am hoping to do.
    Mr. Wied. So I know farmers and processors often have 
different opinions on milk pricing, but one area of agreement 
relates to having better data across the board. So in that 
context, I have cosponsored a bipartisan bill to require USDA 
to conduct dairy manufacturing cost surveys every 2 years to 
help make sure that all stakeholders have the same data going 
forward. I am thrilled that we are able to include funding, of 
course, in this Big Beautiful Bill, in this reconciliation 
package to implement this process. So when and if this is 
enacted, will you work with us on this Committee to help get 
this up and running as quickly as possible?
    Secretary Rollins. One hundred percent, I will look forward 
to that.
    Mr. Wied. Okay, great. Well, thank you again for your 
leadership.
    Secretary Rollins. Thank you.
    Mr. Wied. I yield back.
    The Chairman. The gentleman yields back.
    I now recognize the gentleman from Indiana, Mr. Messmer, 
for 5 minutes.
    Mr. Messmer. Thank you, Mr. Chairman, and thank you, 
Secretary Rollins, for being here this afternoon.
    Madam Secretary, let me start by thanking you for your 
timely response to the avian influenza and screwworm issues. 
Each have been of particular concern to the producers in my 
district, and I am pleased to see mitigation efforts quickly 
implemented.
    With that said, I want to pivot on our focus to the 
tremendous opportunity of biobased products industries. This 
sector is quickly becoming a new, strong market for the farmers 
in my district, but as the industry continues to grow, it is 
important we clarify terminology. The inconsistent and 
sometimes interchangeable use of terms like biobased, plant-
based, and bio-attributed creates customer confusion that can 
undermine innovation in these markets. Would you and your staff 
at USDA commit to partnering with me as I work to establish 
clear, uniform definitions to provide clarity to farmers, bio-
manufacturers, and consumers, along with the biopreferred value 
chain?
    Secretary Rollins. Yes, we would look forward to doing 
that.
    Mr. Messmer. Thank you. We will be in touch.
    Madam Secretary, farmers in my district were hit hard 
during 2020 and 2021. When the USDA provided emergency relief 
assistance, they applied and were accepted, but due to 
incredible delays and programmatic errors, the agency failed to 
hold up its end of the deal, leaving farmers that were reliant 
on this lifeline high and dry without the aid they were 
rightfully due. I have spoken to your team, and if there is a 
solution to that problem, but unfortunately, those funds have 
been completely depleted.
    Now, that was a previous Administration, and I am very 
pleased with the efforts you have put forth to ensure aid is 
going to our farmers, real farmers, in a timely manner and 
efficient manner. I know you have shared success stories today, 
but can you specifically explain how you are working to ensure 
that relief distributed under your leadership is free of the 
flaws that plagued the last Administration and that the USDA 
holds true to the promises it makes to our farmers?
    Secretary Rollins. I appreciate that. And while we are not 
going to be perfect, I do believe, based on what I have seen, 
not just from the past Administration, but previous ones as 
well, that we moved more quickly and with great intentionality. 
Part of that was it was important to me to bring back some of 
the team from the first Trump Administration who had lived this 
before under Secretary Perdue and knew what they were doing. 
And so as they built the ECAP program out and moving that 
money, again, within 3 days, within just a couple months of the 
appropriation from you all I think was record speed. We are now 
into the second tranche. I believe that is record speed as 
well. We have already moved $1 billion out on that second 
piece, and we have more coming in the next days.
    This next tranche is more complicated because it requires a 
state-by-state agreement that has to be negotiated, versus ECAP 
was just data, you plug into a formula, and you move the money, 
but I am really proud of the team. If you hear differently, 
please let us know, but we have the smartest people working on, 
again, both politicals and careers. I don't want to take all 
the credit. Our team sitting here is incredible, but we have 
some amazing careers back at USDA, too, that are working 7 days 
a week to move that out. I mentioned we had a 6:00 a.m. 
conference call this morning. I was on the phone at 10:00 last 
night on these issues just to ensure that we are moving as 
quickly as we can for these farmers.
    Mr. Messmer. Thank you. The farmers in my district will 
appreciate that.
    Secretary Rollins. Thank you.
    Mr. Messmer. And pardon me, I know you have heard this many 
times today, but it is important to the farmers in my district, 
and so allow me to beat the drum one more time for fixes to the 
ag labor issue.
    Secretary Rollins. Yes.
    Mr. Messmer. One of the issues I have been completely 
flooded with in my inbox since getting here is farm labor. 
Right now, Hoosiers pay just under $20 an hour for H-2A labor, 
and on top of that is housing and transportation.
    Secretary Rollins. Yes.
    Mr. Messmer. But the wage isn't just unworkable, it is 
inequitable. The only thing separating farmers in Mount Vernon, 
Indiana, from farmers in Uniontown, Kentucky, is a river that 
is less than a mile wide apart, and our Kentuckian neighbors 
pay $3 an hour less in farm labor than those in Indiana. With 
farm input costs skyrocketing, margins aren't nearly wide 
enough to allow for this flawed wage calculation system.
    Secretary, can we look at the USDA as a partner with myself 
and the colleagues in Congress to seek a wage freeze in that ag 
labor rate and enact expansive functional improvements to the 
H-2A program?
    Secretary Rollins. I would really welcome that partnership 
and look forward to hopefully solving this for our ag 
community.
    Mr. Messmer. Well, love to be----
    Secretary Rollins. It is a beast, yes.
    Mr. Messmer. Love to be part of those discussions if 
possible.
    Secretary Rollins. Yes.
    Mr. Messmer. Well, thank you, Madam Secretary.
    Got to get our Indiana plugs in here. Indiana ranks number 
one in the nation in commercial duck production, number two in 
tomato and pumpkin production, number three in egg production 
and spearmint production, number four in soybean and turkey 
production--and probably the bulk of that turkey production 
happens in my county--number five in corn production, and 
number six in watermelon production. Each of those activities 
combined contribute $35 billion to the economy of Indiana. But 
to remain an incubator for ag innovations, these industries 
need reliable and affordable access to labor.
    Thank you, Chairman. I yield back my time.
    Secretary Rollins. Thank you. Thank you so much.
    The Chairman. The gentleman's time has expired.
    I now recognize the gentleman from Wisconsin, Mr. Van 
Orden, for 5 minutes.
    Mr. Van Orden. Thank you, Mr. Chairman.
    Madam Secretary, thank you for being here.
    Secretary Rollins. Thank you.
    Mr. Van Orden. I mean, you are truly a breath of fresh air.
    Secretary Rollins. Thank you.
    Mr. Van Orden. It is just, your optimism is electric.
    Secretary Rollins. Oh, thank you.
    Mr. Van Orden. I want to take a second before I get into 
this to apologize for one of my colleagues who was sitting here 
berating you. So I am just going to ask you a few questions in 
the vein that took place here.
    Secretary Rollins. Thank you.
    Mr. Van Orden. Are rocks heavy? Are trees made of wood? Is 
gravity real? Yes? Okay.
    Secretary Rollins. Yes. Thank you, yes.
    Mr. Van Orden. Did the radical out-of-control government 
spending by Joe Biden, who increased a massive amount of 
liquidity to a market with scarcity, cause inflation to spike 
and input costs to spike?
    Secretary Rollins. Yes.
    Mr. Van Orden. Those are all true statements. Okay. Thanks.
    Hey, I want to thank you. I am done with that. That is just 
silly. Badger you like that in front of your kids?
    Secretary Rollins. Yes.
    Mr. Van Orden. Your kids need to know you are a baller. 
Tell them to watch this. A baller is a word that old people 
use, and it means awesome.
    Secretary Rollins. I will.
    Mr. Van Orden. Thank you for getting the Dairy Business 
Initiative back online.
    Secretary Rollins. Yes.
    Mr. Van Orden. Incredibly important. I know that when we 
got this stuff going on and there is like a big hand, little 
map taking place and we are going to skip a couple of beats, I 
got that, but I think--I sent you a note, and you got that 
turned back around like 94 hours later.
    Secretary Rollins. Yes, thank you.
    Mr. Van Orden. And it is right into my farmers and they are 
so excited about it.
    Secretary Rollins. Thank you.
    Mr. Van Orden. You are welcome, ma'am.
    So I do want to talk to you about agriculture labor because 
I think we have an 80 percent solution. My office has been 
working on this really since we started our Agricultural Labor 
Working Group. And what we are going to do is just acknowledge 
reality. The fact that the agriculture industry, the 
construction industry, and hospitality industry are really 
being floated by a lot of people that are here unlawfully. And 
we are going to just say it out loud, and we are going to 
address it in the most meaningful way.
    It is not a pathway to citizenship. These people are going 
to have to pay a fine. They are going to have to leave the 
United States of America to return to send the message across 
the world, if you are going to get a job here in the United 
States, you are going to enter this country legally. The 
employer's going to have to pay a fine, and they are going to 
be able to come back here. And when they enter the United 
States again, that is their born-again date. They are not 
skipping anybody. It doesn't matter if they are here for 50 
years. And we want to make sure that our farmers have a 
continuous flow for agriculture labor. More to follow on that. 
I am not even looking at H-2A because it is a broken, horrible 
program.
    Secretary Rollins. Yes.
    Mr. Van Orden. So we are going to put that over here, and 
if I can work with you on that I would love that.
    Secretary Rollins. That sounds great.
    Mr. Van Orden. The last thing that I want to talk to you 
about really is milk labeling. Like what is milk, right? And 
this is going to have a profound effect on my dairy farmers. 
Here is what milk is according to you, ma'am. Milk is--on my 
phone and I am over 50. Okay. There you go. Milk is the lacteal 
secretion practically free from colostrum obtained by the 
complete milking of one or more healthy cows. Milk that is in 
its final package form for beverage use shall have been 
pasteurized or ultra-pasteurized and shall contain not less 
than 8.25 percent milk solid, not fat, and not less than 3.25 
percent milk-fat. None of that comes from an almond or an oat. 
So yes, go ahead. Messmer, I will give you a dollar if you can 
milk an oat, right? So all I am asking is that the USDA follow 
their own definition.
    And I spoke to Secretary Kennedy about this, and he is all 
on board.
    Secretary Rollins. Yes.
    Mr. Van Orden. Milk, whole milk is one of the most 
nutritious things that our young people and aging people such 
as myself could consume. But if you go to the store and you buy 
almond milk, it ain't milk, bunch of sugars and stuff in there 
and oats. So I really would like to talk to you about this to 
get this done. We introduced a bill in the last Congress that 
didn't get through the Senate. But, I am all for doing this 
through initial executive action following up with some type of 
legislation because it will have a profound effect on our dairy 
industry.
    Secretary Rollins. Yes, I hear you, and I couldn't agree 
more. And, one of the vehicles that is coming soon is the 
Dietary Guidelines which Secretary Kennedy and I are working on 
together.
    Mr. Van Orden. Oh, yes.
    Secretary Rollins. And that is not due until October, but 
you will see that way before October. And hopefully we can 
continue the momentum toward the vision that you have that I 
agree with.
    Mr. Van Orden. Yes, ma'am. And so we can label milk skim 
milk, one percent milk, two percent milk, and then we call it 
whole milk. The whole milk, the fat content in whole milk is 
3.25 percent, and people think they are drinking butter. And I 
asked the person in the previous Administration who was 
responsible for drawing up these Dietary Guidelines, I asked 
her what the milk-fat content of whole milk was, and she said, 
I don't know, six percent. That ain't it. So I am super excited 
once again to be working with you hand in glove. I am very 
proud of your work.
    Secretary Rollins. Thank you.
    Mr. Van Orden. Your kids need to know you are awesome.
    Secretary Rollins. Thank you.
    Mr. Van Orden. And with that, Mr. Chairman, I yield back.
    Secretary Rollins. Thank you so much.
    The Chairman. The gentleman's time has expired.
    Before we adjourn today, I invite the Ranking Member to 
share any closing comments that she might have.
    Ms. Craig. Well, thank you so much, Mr. Chairman.
    And thank you, Secretary Rollins, for being here, for 
testifying in front of us and giving us so much of your time.
    There was a lot of talk today about how the Trump 
Administration is putting America's farmers first. But as I go 
around my state and I ask many of the farmers, ranchers, and 
producers, I think at this point, they would say that they are 
a little bit less certain than that. The farmers I know and 
speak to talk to me about uncertainty. They say they are not 
sure whether they can make it another season. They are worried 
about handing the farm over to their children, something 
America's family farmers strive for and take pride in, but are 
struggling to do under these economic conditions and 
uncertainty. They tell me they want us to help develop markets, 
not more government handouts or government income.
    Since January, farm country has been dealt one blow after 
another: trade wars that increase cost and eliminate markets; 
USDA layoffs that impact farm program enrollment; the 
elimination of oversubscribed USDA programs that farmers rely 
on to help their bottom lines; contracts they have signed, 
ignored; catering to an HHS Secretary who cites, believes, and 
promotes fake science.
    And Secretary Rollins, what my farmers would love to see is 
you to stand up for them and against his fake science. You will 
have to excuse me and my colleagues if we don't quite believe 
the putting-farmers-first rhetoric. There is no doubt in my 
mind that you are working hard. What I just said about the 
problems in farm country I heard you say over and over again 
today. But we shouldn't be pushing trade partners away from 
America's soybean farmers and toward soy-grown products in 
Brazil and Argentina. We should be working to increase market 
access rather than watching our competitors eat into ours.
    You have mentioned China agreed to a trade deal a few times 
today. But if you look under the hood, it is not more market 
access. It appears we have just re-agreed to move forward with 
the previous tentative framework that was agreed to last month 
in Geneva. So as we still sit here today, we still have the 
concepts of a plan.
    In addition, we shouldn't be signing onto and lending what 
is left of USDA's credibility to MAHA Commission reports that 
aim to take away the tools our American farmers use to grow our 
food. We shouldn't be going along with the mismanagement of 
USDA programs and personnel that Elon Musk and his DOGE kids 
raided during the agency's early days. We have heard near 
silence from the Cabinet during that period of time.
    The current course on reconciliation is threatening the 
farm bill coalition. And we should have been here trying to 
pass a 5 year, 12 title farm bill rather than cutting SNAP by 
$300 billion, putting the stability and income it provides to 
family farmers in jeopardy.
    When I became the Ranking Member of this Committee, I 
promised to go anywhere and talk to anyone to improve life for 
our family farmers. I have always called it like I see it. You 
can ask the Biden Administration about that. I thought they 
ought to be out there looking for more trade deals. And today, 
as I look under the hood, this Administration so far is 
creating the chaos that is failing them.
    And with that, Mr. Chairman, I yield back.
    The Chairman. The gentlelady yields back.
    Madam Secretary, I just want to thank you. Thank you for 
your leadership, your vision, your partnership. You are the one 
that described our relationship as a partnership, and it truly 
is. One hundred and eighteen days on the job, and to step in 
when we have had 4 years that our farm country was abandoned 
under the previous Administration, where 2 years of those 4 
years it took until the Biden Administration named two of the 
top key trade individuals for agriculture trade, Assistant 
Secretary for Foreign Agriculture and Trade at USDA left open 
for 2 years, half the term. At USTR, 2 years where they didn't 
name somebody as a Chief Agriculture Negotiator. So American 
farmers were left in a hole. They were paid no attention to.
    The previous Secretary, who I worked very hard to develop a 
good relationship with, had no use for the Legislative Branch, 
and took and used money, created programs that they clearly 
said were temporary, and now my colleagues are complaining that 
a temporary program created by the previous Administration 
obviously ceases. Temporary is temporary.
    Now, I see value in some of that. If Secretary Vilsack 
would have come to us and really wanted to work with the 
Legislative Branch, we could have worked on that. I think we 
are looking at those things as we move forward. We can find the 
monies to be able to fund it. We don't have jurisdiction over 
the farmers to schools. That is a different Committee. But the 
farmers to the food banks makes a lot of sense to me. I wish he 
would have come to me. We could have legislated it, and then it 
would still be in place. But that is on the previous 
Administration. That is not on you, and that is not on 
President Trump.
    Again, that number I come back to is 118 days. I am so 
impressed. In 118 days, this Committee, it was very partisan, 
unfortunately, and I get it, reconciliation, no matter what 
party is in the Majority, it is always partisan.
    Secretary Rollins. Yes.
    The Chairman. But, some of my colleagues missed the 
opportunity to vote for all the things that we put together 
under the Farm, Food, and National Security Act in terms of the 
safety net. In 118 days, we have actually incorporated into 
legislation the investments in Title I, which is the reference 
prices. Doing that, and our Senate counterparts, Senate 
Republicans are working on this, but a 10 to 20 percent 
increase based on what they need, now not exactly maybe what 
they wanted because there is a difference there. We did our due 
diligence and looked at what they needed. Adding base acres for 
the first time in generations, modernizing the Dairy Margin 
Coverage Program, making investments in crop insurance but also 
include specialty crops, all of that.
    And some people call it the One Big Beautiful Bill, and 
that is the official name of it. It is a little odd, but that 
is okay. I call it Farm Bill 1.0. It really is Farm Bill 1.0. 
With making crop insurance more affordable for everyone because 
it is the most popular program that we found traveling the 
country of 42 states, one Territory, about 115 listening 
sessions, that is what we heard.
    Making investments, as you heard today, in trade, in 
research, in animal health, in Secure Rural Schools, which 
expires for those school districts that are located within 
National Forests. And so much more that is there.
    So I am really proud of what we did with Farm Bill 1.0. I 
like what I am hearing, actually, over on the Senate side. I 
also like the fact that we, wherever it winds up in terms of 
state share, the problem has not been what Congress has passed 
in terms of our nutrition programs. Those are really good. The 
problems have been in the states' execution and administration 
of them.
    It is the old adage, ``If you are spending somebody else's 
money, you don't care, you are reckless.'' Well, we are not 
asking much over there, and that number might even go down, we 
will see. But I expect that results will go up. The error rates 
are unacceptable. They hurt the people that those programs are 
designed for.
    So there is so much more I can't--I am really excited about 
where we are at in 118 days. We have done that part with the 
Agriculture Committee. We have a Farm Bill 2.0 we need to 
finish up. We know that. That price tag will be much less. But 
there are important--and the pieces of legislation that are 
pending that didn't fit in reconciliation, most of those fit in 
the category of--I mean, I think that the Farm, Food, and 
National Security Act overall had 40 measures that were just 
introduced by a Democratic, 140 measures were introduced by a 
Republican and a Democratic, and then a fair amount that were 
introduced by just a Republican. So it is a basis for a great 
bipartisan, very affordable Farm Bill 2.0.
    And then I am just so impressed with your written 
testimony. The support for American poultry and egg producers, 
addressing the avian flu, bold action to respond to foreign 
disease outbreaks like the New World screwworm, launching that 
new web portal for potential victims of ongoing lawfare, 
fighting for fair trade for our farmers and ranchers, 
unleashing American dominance, which includes biofuels, which 
is so important as a market, but even more than that because 
farming is energy-intensive, the cost of that diesel fuel, the 
cost of that propane.
    Streamlining unnecessary regulations, cutting you used to 
have red tape. We are cutting red and green tape, actually. So 
working with Secretary Burgum on wildfire preparedness, 
deploying resources for wildfire responses, just a long list of 
the outcomes in just 118 days.
    Secretary Rollins. Thank you.
    The Chairman. So I am looking forward to continuing that 
partnership. Quite frankly, I think we are well on our way to 
making agriculture great again in this country.
    Secretary Rollins. Let's go.
    The Chairman. So thank you so much.
    Secretary Rollins. Thank you.
    The Chairman. Under the Rules of the Committee, the record 
of today's hearing will remain open for 10 calendar days to 
receive additional material and supplementary written responses 
from the witness to any questions posed by a Member.
    This hearing of the Committee on Agriculture is adjourned.
    [Whereupon, at 3:01 p.m., the Committee was adjourned.]
    [Material submitted for inclusion in the record follows:]
Submitted Letters by Hon. Jim Costa, a Representative in Congress from 
                               California
                                letter 1
        on behalf of agricultural council of california, et al.
March 17th, 2025

  Hon. Brooke Rollins,
  Secretary,
  U.S. Department of Agriculture,
  Washington D.C.

  Re: Unified CA Bird Flu Strategy

    Dear Secretary Rollins:

    We want to begin by expressing our appreciation for the priority 
the United States Department of Agriculture (USDA) has placed on 
reducing the impacts of H5N1 Bird Flu on our food supply. This virus 
poses a threat to American farming that requires a united front to 
overcome. The work currently addressing prevention, response, recovery, 
and research is showing tangible results and actionable findings.
    There is one issue, however, that we would like to bring to your 
attention for further discussion. Many states, including California, 
are just emerging from the most devastating outbreak of bird flu in 
poultry and livestock in our country's history. There is a national 
desire to enhance readiness so that the 2024-2025 outbreak is not 
repeated. If this virus circulates long enough in dairies without 
additional mitigation, leading to impacts on beef breeds as well as 
dairy breeds, the stakes will get even higher.
    The points outlined in the current USDA plan will go a long way 
toward prevention, but we encourage USDA to continue work that supports 
dairy herd immunity through dairy vaccination, only to be used when the 
benefits outweigh the costs. We know that even the best poultry or 
dairy biosecurity may not work if the amount of bird flu virus in the 
surrounding area is too high. Both migrating waterfowl and infected 
dairies contribute to the threat to poultry. In major dairy production 
states like California, this past year most poultry introductions came 
from dairies, not wild birds. These high viral loads occur when bird 
flu exponentially multiplies in herds without immunity for weeks to 
months, as is currently the case with most dairy infections. We also 
know that cattle must move between herds and states daily, resulting in 
constant introduction of animals without immunity that may perpetuate 
infection. Finally, when it comes to continuing dairy exposure to 
virus, the role of wild birds is still not fully understood. Bird flu 
devastates dairy families struggling with infected herds, but it is a 
death sentence to neighboring poultry flocks who will die from this 
virus and are therefore euthanized before further spread can occur.
    For these reasons, while we support a cautious approach to vaccine 
use, we strongly encourage continued Federal efforts to develop avian 
influenza H5N1 vaccines for dairy cows, including research and 
development support, safety and efficacy evaluations, use strategies, 
export market management and consumer outreach. We recognize that use 
of vaccination in dairy cows will require careful consideration and may 
not come to pass if shown to be unnecessary, but we strongly urge USDA 
to support vaccine development now because immunity through viral 
exposure as experienced in 2024 carries unsustainable negative 
consequences, and these initial preparation steps take time. We cannot 
afford to delay preparedness.
    The undersigned livestock community in California support the 
continued prioritization of this next preparedness step related to 
establishing herd immunity and reducing virus on dairy farms, 
recognizing that actual use of vaccine will depend on the result of 
these activities and real-time evaluation of costs and benefits.

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]


 
 
 
   [Agricultural Council   [Milk Producers                       [California Grain and
               of California]             Council]Feed Association]
 

                                                  [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
                                                  

 
 
 
                      [California Dairy Campaign]          [California Farm Bureau]
 

                                     [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
                                     

 
 
 
[Western States Dairy Producers Association]
 

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]


 
 
 
                      [California Veterinary Medical       [California Cattlemen's
            Association]                        Association]
 

                                     [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
                                     

 
 
 
[Pacific Egg and Poultry                    [Association of California Egg
            Association]                            Farmers]
 

                                     [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
                                     

 
 
 
[Western United Dairies]                [Dairy Institute of California]
 

                                letter 2
June 11, 2025

  Hon. Brooke Rollins,
  Secretary,
  U.S. Department of Agriculture,
  Washington D.C.

    Dear Secretary Rollins:

    As Members representing the Central Valley of California, we write 
to express our appreciation for the ongoing collaboration between 
United States Department of Agriculture (USDA) and the Department of 
Health and Human Services (HHS) towards combating H5N1, or bird flu. 
The spread of this virus continues to pose a threat to our nation's 
protein supply chain and agriculture industry across the nation. 
Combating this virus will continue to require a united front. The 
nonstop work by our dedicated researchers and veterinarians throughout 
the National Animal Health Laboratory Network (NAHLN) continues to 
demonstrate tangible results, presenting opportunities to take further 
action.
    The State of California is ground zero for conducting research to 
understand the impacts of this disease. It is only in 2025 that our 
constituents are starting to emerge from the most devastating outbreak 
of bird flu in poultry and livestock in our nation's history. Our 
producers, both dairy and poultry, are in unison and prepared to 
enhance readiness to avoid another 2024-2025-style outbreak. As our 
producers continue to monitor the situation, research has shown the 
longer the virus circulates in dairies without additional mitigation, 
there could be devastating impacts on dairy cattle, and the stakes will 
continue to rise on impacts to beef cattle.
    We appreciate the continued progress on USDA's Five-Pronged 
Strategy, and we encourage USDA to also prioritize the important work 
that must be completed before adding dairy vaccination for H5N1 as a 
food defense option in the United States. Dairy vaccination may be the 
most effective way to protect cattle and consequently protect poultry 
in many regions of the country, including California. Creating and 
sustaining dairy herd immunity will lessen the amount virus generated 
by infected cows without the negative impacts of disease. We know that 
H5N1 disease impacts are severe for dairy cows without any immunity, 
but when the virus spreads from cows to poultry, the impacts are 
catastrophic. Poultry biosecurity is a critical tool within the Five-
Pronged Strategy, however without sustained dairy herd immunity, 
infected cows may continue to exponentially generate high viral loads 
in environments often surrounding poultry flocks, rendering the best 
biosecurity ineffective. The unknowns around wild birds and other 
mechanisms of viral spread remain as research continues, but many 
suspected disease vectors know no boundaries, making the potential for 
reintroduction or spread to unaffected flocks and herds a significant 
risk. Finally, dairy cattle and calves must move between farms and 
often across state lines daily to optimize care and sustain food 
production, and the risk of spreading virus with these movements will 
be reduced if sufficient numbers of dairy cows have some level of 
immunity to H5N1 via a vaccine option.
    As Members of Congress representing the Central Valley of 
California, we support the unified message from our dairy, poultry, and 
livestock constituents in urging USDA to take a cautious approach 
towards an avian influenza H5N1 vaccine for dairy cattle, but with 
continued research and development support toward creation of a 
vaccine. We additionally support continued dedication of resources 
towards cooperative agreements between the state and Federal Government 
for human and animal health.
    It is critical as well that our trading partners are kept apprised 
should any action be taken as California's dairy industry provides 20% 
of our nation's milk supply and exports $3.2 billion in dairy products. 
Thank you for your consideration of this letter and we stand ready to 
work with you on this important health and food security matter.
            Sincerely,

            [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
            

 
 
 
Hon. Jim Costa,                      Hon. David G. Valadao,
Member of Congress                   Member of Congress
 

                                     [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
                                     

 
 
 
Hon. Josh Harder,        Hon. Vince Fong,         Hon. Adam Gray,
Member of Congress       Member of Congress       Member of Congress
 

                                 ______
                                 
 Submitted Letter by Hon. Alma S. Adams, a Representative in Congress 
                          from North Carolina
June 7, 2025

  Hon. Thom Tillis,
  Senator,
  Washington, D.C.

  Re: SNAP Funding Reductions/Administrative Burden on Counties

    Dear Senator Tillis,

    I am writing on behalf of North Carolina's 100 counties to urge you 
to preserve the Supplemental Nutrition Assistance Program (SNAP) at its 
current level, to oppose funding cuts to SNAP, and to oppose changes to 
SNAP work requirements that would result in a financial shift of 
administrative functions to counties. To be clear, counties support 
ensuring that taxpayer-funded programs are operated with integrity and 
fiscal responsibility. What they oppose are unfunded mandates.
    As you know, North Carolina is unique in that we are one of ten 
states where counties administer SNAP and Medicaid eligibility 
functions. Changes to application or redetermination processing for 
these programs will have a direct impact on county functions and 
further strain county budgets. Throughout your tenure of public 
service, you have cautioned against ``shift and shaft'' tactics from 
the Federal and state levels of government--sending unfunded mandates 
to local governments. The proposed changes included in H.R. 1--the 
``One Big Beautiful Bill Act''--would have that effect, specifically 
related to the SNAP provision. These sections will double the work in 
our county social service offices but send no funding to pay for it.
    Beyond the county impacts mentioned above, SNAP is an important 
program in our state, allowing low-income families with children, older 
adults, and people with disabilities to be able to afford nutritious 
food. The program is lean, with average benefits of about $5.70 per 
person per day, and already includes work requirements plus stringent 
audit processes to combat waste, fraud, and abuse. SNAP improves health 
outcomes and decreases health care costs; recipients are admitted to 
hospitals and emergency rooms less frequently and save Medicaid over 
$2,000 annually.
    By reducing Federal funding and shifting administrative costs to 
state and local governments, Congress would force North Carolina and 
its counties to replace tens of millions of dollars in lost revenue, 
either by generating new funds through increased taxes or redirecting 
them from other essential programs. Should the state be unwilling or 
unable to replace the SNAP benefit reductions, individual counties will 
be forced to choose between diverting funds from their own programs, 
raising local taxes, or watching their residents go without this 
important safety net. Local governments are most disadvantaged to 
replace SNAP funding; the best way to ensure our residents receive this 
benefit is to preserve Federal funding.
    Our state's recovery efforts post-Helene are a vivid reminder of 
the external pressures that counties must face while still providing 
essential services. Twenty-five counties are still working to restore 
infrastructure and economic opportunities for their residents--cutting 
SNAP and implementing more stringent work requirements will drastically 
increase the workload on county staff, leading to higher turnover, 
missed deadlines, and more frequent errors, all of which will cause 
further delays in service. Adding further pressure on county staff 
reduces their ability to react in a timely manner during natural 
disasters or other unforeseen events.
    Thank you for your consideration of our request and input. As 
always, we appreciate all you do for North Carolina, our counties, and 
the people who call North Carolina home.
            Sincerely, 

            [GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
            
Kevin Leonard,
Executive Director,
North Carolina Association of County Commissioners (NCACC)

CC:

NCACC Board of Directors
North Carolina County Commissioners
Matt Chase, NACo Chief Executive Officer and Executive Director
Sharnese Ransome, NCACDSS Executive Director
                                 ______
                                 
 Submitted Articles by Hon. Eugene Simon Vindman, a Representative in 
                         Congress from Virginia
                               article 1

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]

[https://www.americanprogress.org/article/snap-cuts-are-likely-to-harm-
more-than-27000-retailers-nationwide/]

May 8, 2025
SNAP Cuts Are Likely To Harm More Than 27,000 Retailers Nationwide
By Kyle Ross,\1\ Kennedy Andara \2\
---------------------------------------------------------------------------
    \1\ https://www.americanprogress.org/people/ross-kyle/.
    \2\ https://www.americanprogress.org/people/kennedy-andara/.

    A new analysis shows that 27,000 retailers in areas with the 
highest shares of SNAP participants would be the most likely to bear 
the brunt of proposed drastic cuts to food assistance.
More than 27,000 retailers in largely rural counties have the highest 
        risk of being harmed by Supplemental Nutrition Assistance 
        Program (SNAP) cuts
Percentage of people who received SNAP benefits, by county, 2022

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]

          Editor's note: this is an interactive graphic. It displays 
        information concerning each county.
          Notes: The authors measured the SNAP retailers per 1,000 SNAP 
        participants ratio as an indicator of food access for people 
        who receive assistance through SNAP. Retailers within counties 
        that were below the median ratio and in the top ten percent of 
        counties with the highest SNAP participation were marked as 
        being most at risk of being harmed by cuts in food assistance. 
        Because the SNAP retailers data does not account for 
        Connecticut's transition from counties to planning regions, 
        retailer addresses were crosswalked using ZIP codes. However, 
        the crosswalk is not exact since some ZIP codes cross planning 
        region boundaries.
          Source: For a list of definitions for the included store 
        types, see U.S. Department of Agriculture, ``SNAP Store Type 
        Definitions'' \3\ (last accessed April 2025). U.S. Department 
        of Agriculture, ``SNAP Retailer Location Data'' \4\ (last 
        accessed April 2025); U.S. Census Bureau, ``SAIPE Model Input 
        Data: County SNAP Benefits Data,'' \5\ December 16, 2024; U.S. 
        Census Bureau, ``Annual Resident Population Estimates, 
        Estimated Components of Resident Population Change, and Rates 
        of the Components of Resident Population Change for States and 
        Counties: April 1, 2020 to July 1, 2024,'' \6\ March 12, 2025; 
        U.S. Department of Agriculture, ``2023 Rural-Urban Continuum 
        Codes'' \7\ (last accessed April 2025); CT Data Collaborative, 
        ``Connecticut ZIP to Planning Region Crosswalk,'' \8\ September 
        13, 2023.
---------------------------------------------------------------------------
    \3\ https://www.fns.usda.gov/snap/store-definitions.
    \4\ https://usda-snap-retailers-usda-fns.hub.arcgis.com/datasets/
USDA-FNS::snap-retailer-location-data/about.
    \5\ https://www.census.gov/data/datasets/time-series/demo/saipe/
model-tables.html.
    \6\ https://www.census.gov/data/datasets/time-series/demo/popest/
2020s-counties-total.html#v2024.
    \7\ https://www.ers.usda.gov/data-products/rural-urban-continuum-
codes.
    \8\ https://github.com/CT-Data-Collaborative/zip-to-planningregion/
blob/main/README.md.
---------------------------------------------------------------------------
          Map: Center for American Progress.

                                                     Table 1
 Retailers in more than 300 counties have the highest risk of being harmed by Supplemental Nutrition Assistance
                                               Program (SNAP) cuts
                     (SNAP participation rates and the number of SNAP retailers, by county)
----------------------------------------------------------------------------------------------------------------
                                                                                           SNAP
                                                        %                                retailers
   State        County      # of SNAP  Population   receiving    Rural or    # of SNAP   per 1,000   Higher-risk
                           recipients                 SNAP        urban      retailers     SNAP        county
                                                    benefits                            recipients
----------------------------------------------------------------------------------------------------------------
Alabama      Autauga Co.        8,029      59,736       13.4%  Urban                48         6.0
Alabama      Baldwin Co.       20,790     246,577        8.4%  Urban               226        10.9
Alabama      Barbour Co.        6,082      24,722       24.6%  Rural                42         6.9  8Higher-
                                                                                                     risk0
Alabama      Bibb Co.           3,434      21,983       15.6%  Urban                23         6.7
Alabama      Blount Co.         6,483      59,491       10.9%  Urban                49         7.6
Alabama      Bullock Co.        2,738      10,126         27%  Rural                15         5.5  8Higher-
                                                                                                     risk0
Alabama      Butler Co.         5,062      18,652       27.1%  Rural                34         6.7  8Higher-
                                                                                                     risk0
Alabama      Calhoun Co.       20,707     115,744       17.9%  Urban               141         6.8
Alabama      Chambers Co.       6,956      34,093       20.4%  Rural                45         6.5
Alabama      Cherokee Co.       3,628      25,334       14.3%  Rural                29         8.0
Alabama      Chilton Co.        7,672      45,856       16.7%  Urban                61         8.0
Alabama      Choctaw Co.        3,199      12,420       25.8%  Rural                17         5.3  8Higher-
                                                                                                     risk0
Alabama      Clarke Co.         5,832      22,545       25.9%  Rural                35         6.0  8Higher-
                                                                                                     risk0
Alabama      Clay Co.           1,832      14,198       12.9%  Rural                10         5.5
Alabama      Cleburne Co.       2,779      15,353       18.1%  Rural                28        10.1
Alabama      Coffee Co.         7,968      54,769       14.5%  Rural                59         7.4
Alabama      Colbert Co.        7,707      58,023       13.3%  Urban                74         9.6
Alabama      Conecuh Co.        2,943      11,220       26.2%  Rural                19         6.5  8Higher-
                                                                                                     risk0
Alabama      Coosa Co.          1,970      10,283       19.2%  Rural                 9         4.6
Alabama      Covington          7,604      37,508       20.3%  Rural                65         8.5
              Co.
Alabama      Crenshaw Co.       3,141      13,096         24%  Rural                22         7.0  8Higher-
                                                                                                     risk0
Alabama      Cullman Co.        9,208      90,597       10.2%  Rural                90         9.8
Alabama      Dale Co.           9,811      49,472       19.8%  Rural                59         6.0
Alabama      Dallas Co.        13,915      36,772       37.8%  Rural                50         3.6  8Higher-
                                                                                                     risk0
Alabama      DeKalb Co.        13,831      72,046       19.2%  Rural                98         7.1
Alabama      Elmore Co.         9,906      89,566       11.1%  Urban                88         8.9
Alabama      Escambia Co.       8,173      36,620       22.3%  Rural                47         5.8
Alabama      Etowah Co.        17,014     102,821       16.5%  Urban               133         7.8
Alabama      Fayette Co.        3,383      16,041       21.1%  Rural                10         3.0
Alabama      Franklin Co.       5,202      31,947       16.3%  Rural                34         6.5
Alabama      Geneva Co.         5,017      26,787       18.7%  Urban                38         7.6
Alabama      Greene Co.         2,498       7,412       33.7%  Urban                12         4.8  8Higher-
                                                                                                     risk0
Alabama      Hale Co.           3,959      14,613       27.1%  Urban                18         4.5  8Higher-
                                                                                                     risk0
Alabama      Henry Co.          2,983      17,638       16.9%  Urban                17         5.7
Alabama      Houston Co.       21,100     108,063       19.5%  Urban               134         6.4
Alabama      Jackson Co.        7,372      52,842         14%  Rural                60         8.1
Alabama      Jefferson        106,140     665,543       15.9%  Urban               548         5.2
              Co.
Alabama      Lamar Co.          2,655      13,628       19.5%  Rural                15         5.6
Alabama      Lauderdale        10,877      95,903       11.3%  Urban                95         8.7
              Co.
Alabama      Lawrence Co.       5,632      33,182         17%  Urban                30         5.3
Alabama      Lee Co.           18,529     181,044       10.2%  Urban               118         6.4
Alabama      Limestone          7,217     110,926        6.5%  Urban                86        11.9
              Co.
Alabama      Lowndes Co.        3,578       9,778       36.6%  Urban                17         4.8  8Higher-
                                                                                                     risk0
Alabama      Macon Co.          4,400      18,561       23.7%  Urban                22         5.0  8Higher-
                                                                                                     risk0
Alabama      Madison Co.       36,551     404,155          9%  Urban               308         8.4
Alabama      Marengo Co.        4,922      18,790       26.2%  Rural                22         4.5  8Higher-
                                                                                                     risk0
Alabama      Marion Co.         5,427      29,171       18.6%  Rural                32         5.9
Alabama      Marshall Co.      14,050      99,570       14.1%  Rural               120         8.5
Alabama      Mobile Co.        84,919     411,291       20.6%  Urban               490         5.8
Alabama      Monroe Co.         3,869      19,403       19.9%  Rural                26         6.7
Alabama      Montgomery        53,608     226,554       23.7%  Urban               256         4.8  8Higher-
              Co.                                                                                    risk0
Alabama      Morgan Co.        16,516     124,218       13.3%  Urban               122         7.4
Alabama      Perry Co.          3,514       7,893       44.5%  Rural                12         3.4  8Higher-
                                                                                                     risk0
Alabama      Pickens Co.        3,654      18,780       19.5%  Urban                22         6.0
Alabama      Pike Co.           6,572      32,998       19.9%  Rural                37         5.6
Alabama      Randolph Co.       5,075      22,442       22.6%  Rural                28         5.5  8Higher-
                                                                                                     risk0
Alabama      Russell Co.       11,919      58,522       20.4%  Urban                61         5.1
Alabama      St. Clair         11,561      93,879       12.3%  Urban                79         6.8
              Co.
Alabama      Shelby Co.        12,405     230,140        5.4%  Urban               150        12.1
Alabama      Sumter Co.         3,298      11,894       27.7%  Rural                15         4.5  8Higher-
                                                                                                     risk0
Alabama      Talladega         13,782      80,674       17.1%  Rural                97         7.0
              Co.
Alabama      Tallapoosa         7,514      40,910       18.4%  Rural                48         6.4
              Co.
Alabama      Tuscaloosa        26,766     237,995       11.2%  Urban               189         7.1
              Co.
Alabama      Walker Co.        10,573      64,408       16.4%  Urban                65         6.1
Alabama      Washington         2,970      15,098       19.7%  Rural                16         5.4
              Co.
Alabama      Wilcox Co.         4,246      10,124       41.9%  Rural                14         3.3  8Higher-
                                                                                                     risk0
Alabama      Winston Co.        3,418      23,741       14.4%  Rural                23         6.7
Alaska       Aleutians            187       3,453        5.4%  Rural                 4        21.4
              East
              Borough
Alaska       Aleutians            136       5,115        2.7%  Rural                 6        44.1
              West Census
              Area
Alaska       Anchorage         34,763     287,520       12.1%  Urban               118         3.4
              Municipalit
              y
Alaska       Bethel             8,493      18,272       46.5%  Rural                47         5.5  8Higher-
              Census Area                                                                            risk0
Alaska       Bristol Bay           83         877        9.5%  Rural                 2        24.1
              Borough
Alaska       Chugach              400       6,910        5.8%  Rural                 5        12.5
              Census Area
Alaska       Copper River         417       2,607         16%  Rural                 8        19.2
              Census Area
Alaska       Denali               105       1,583        6.6%  Rural                 2        19.0
              Borough
Alaska       Dillingham         1,527       4,716       32.4%  Rural                 8         5.2  8Higher-
              Census Area                                                                            risk0
Alaska       Fairbanks          6,820      95,749        7.1%  Urban                37         5.4
              North Star
              Borough
Alaska       Haines               185       2,079        8.9%  Rural                 3        16.2
              Borough
Alaska       Hoonah-              380       2,282       16.7%  Rural                 5        13.2
              Angoon
              Census Area
Alaska       Juneau City        2,806      31,742        8.8%  Rural                12         4.3
              and Borough
Alaska       Kenai              6,859      60,631       11.3%  Rural                47         6.9
              Peninsula
              Borough
Alaska       Ketchikan          1,942      13,719       14.2%  Rural                11         5.7
              Gateway
              Borough
Alaska       Kodiak               955      12,655        7.5%  Rural                11        11.5
              Island
              Borough
Alaska       Kusilvak           5,400       8,196       65.9%  Rural                24         4.4  8Higher-
              Census Area                                                                            risk0
Alaska       Lake and             343       1,375       24.9%  Rural                10        29.2
              Peninsula
              Borough
Alaska       Matanuska-        11,768     113,505       10.4%  Urban                51         4.3
              Susitna
              Borough
Alaska       Nome Census        3,530       9,804         36%  Rural                24         6.8  8Higher-
              Area                                                                                   risk0
Alaska       North Slope        1,076      10,789         10%  Rural                12        11.2
              Borough
Alaska       Northwest          2,557       7,401       34.5%  Rural                21         8.2  8Higher-
              Arctic                                                                                 risk0
              Borough
Alaska       Petersburg           428       3,381       12.7%  Rural                 3         7.0
              Borough
Alaska       Prince of          1,100       5,655       19.5%  Rural                 4         3.6
              Wales-Hyder
              Census Area
Alaska       Sitka City           605       8,370        7.2%  Rural                 4         6.6
              and Borough
Alaska       Skagway               33       1,096          3%  Rural                 1        30.3
              Municipalit
              y
Alaska       Southeast            872       7,039       12.4%  Rural                11        12.6
              Fairbanks
              Census Area
Alaska       Wrangell             218       2,071       10.5%  Rural                 2         9.2
              City and
              Borough
Alaska       Yakutat City          54         685        7.9%  Rural                 2        37.0
              and Borough
Alaska       Yukon-             1,503       5,165       29.1%  Rural                27        18.0
              Koyukuk
              Census Area
Arizona      Apache Co.        22,161      65,470       33.8%  Rural                52         2.3  8Higher-
                                                                                                     risk0
Arizona      Cochise Co.       22,107     125,497       17.6%  Urban               126         5.7
Arizona      Coconino Co.      16,895     144,326       11.7%  Urban               116         6.9
Arizona      Gila Co.          10,261      53,927         19%  Rural                54         5.3
Arizona      Graham Co.         5,721      38,802       14.7%  Rural                33         5.8
Arizona      Greenlee Co.         639       9,321        6.9%  Rural                 9        14.1
Arizona      La Paz Co.         3,138      16,555         19%  Rural                41        13.1
Arizona      Maricopa Co.     467,705   4,564,457       10.2%  Urban             2,755         5.9
Arizona      Mohave Co.        33,135     220,947         15%  Urban               211         6.4
Arizona      Navajo Co.        27,154     108,771         25%  Rural               123         4.5  8Higher-
                                                                                                     risk0
Arizona      Pima Co.         144,026   1,059,412       13.6%  Urban               688         4.8
Arizona      Pinal Co.         54,992     465,476       11.8%  Urban               205         3.7
Arizona      Santa Cruz        10,891      48,801       22.3%  Rural                34         3.1
              Co.
Arizona      Yavapai Co.       20,101     246,266        8.2%  Urban               171         8.5
Arizona      Yuma Co.          44,864     209,538       21.4%  Urban               138         3.1
Arkansas     Arkansas Co.       1,635      16,458        9.9%  Rural                20        12.2
Arkansas     Ashley Co.         2,521      18,318       13.8%  Rural                17         6.7
Arkansas     Baxter Co.         2,953      42,378          7%  Rural                38        12.9
Arkansas     Benton Co.         8,814     303,558        2.9%  Urban               165        18.7
Arkansas     Boone Co.          3,200      38,254        8.4%  Rural                34        10.6
Arkansas     Bradley Co.        1,262      10,167       12.4%  Rural                14        11.1
Arkansas     Calhoun Co.          362       4,703        7.7%  Rural                 3         8.3
Arkansas     Carroll Co.        1,614      28,667        5.6%  Rural                30        18.6
Arkansas     Chicot Co.         2,001       9,836       20.3%  Rural                16         8.0
Arkansas     Clark Co.          1,914      21,136        9.1%  Rural                18         9.4
Arkansas     Clay Co.           1,362      14,229        9.6%  Rural                13         9.5
Arkansas     Cleburne Co.       1,838      25,272        7.3%  Rural                26        14.1
Arkansas     Cleveland            602       7,471        8.1%  Rural                 6        10.0
              Co.
Arkansas     Columbia Co.       2,647      22,316       11.9%  Rural                26         9.8
Arkansas     Conway Co.         1,827      21,091        8.7%  Rural                21        11.5
Arkansas     Craighead         10,116     112,828          9%  Urban               102        10.1
              Co.
Arkansas     Crawford Co.       5,009      61,084        8.2%  Urban                47         9.4
Arkansas     Crittenden         6,561      47,031         14%  Urban                64         9.8
              Co.
Arkansas     Cross Co.          1,577      16,594        9.5%  Rural                21        13.3
Arkansas     Dallas Co.           642       6,197       10.4%  Rural                 8        12.5
Arkansas     Desha Co.          1,823      10,760       16.9%  Rural                17         9.3
Arkansas     Drew Co.           1,916      16,930       11.3%  Rural                18         9.4
Arkansas     Faulkner Co.       7,015     127,656        5.5%  Urban                82        11.7
Arkansas     Franklin Co.       1,362      17,274        7.9%  Rural                15        11.0
Arkansas     Fulton Co.         1,324      12,354       10.7%  Rural                 8         6.0
Arkansas     Garland Co.        9,087      99,942        9.1%  Urban                90         9.9
Arkansas     Grant Co.          1,040      18,127        5.7%  Urban                15        14.4
Arkansas     Greene Co.         4,506      46,359        9.7%  Rural                35         7.8
Arkansas     Hempstead          2,097      19,469       10.8%  Rural                19         9.1
              Co.
Arkansas     Hot Spring         2,851      33,170        8.6%  Rural                23         8.1
              Co.
Arkansas     Howard Co.         1,392      12,583       11.1%  Rural                15        10.8
Arkansas     Independence       2,935      38,223        7.7%  Rural                33        11.2
              Co.
Arkansas     Izard Co.          1,361      14,033        9.7%  Rural                11         8.1
Arkansas     Jackson Co.        1,941      16,607       11.7%  Rural                19         9.8
Arkansas     Jefferson          9,438      64,341       14.7%  Rural                73         7.7
              Co.
Arkansas     Johnson Co.        2,739      25,997       10.5%  Rural                33        12.0
Arkansas     Lafayette            815       6,136       13.3%  Rural                 8         9.8
              Co.
Arkansas     Lawrence Co.       1,825      16,146       11.3%  Rural                20        11.0
Arkansas     Lee Co.            1,581       8,373       18.9%  Rural                 9         5.7
Arkansas     Lincoln Co.        1,175      12,914        9.1%  Rural                 8         6.8
Arkansas     Little River       1,322      11,811       11.2%  Urban                 9         6.8
              Co.
Arkansas     Logan Co.          2,044      21,242        9.6%  Rural                19         9.3
Arkansas     Lonoke Co.         4,000      75,219        5.3%  Urban                54        13.5
Arkansas     Madison Co.        1,326      17,493        7.6%  Urban                14        10.6
Arkansas     Marion Co.         1,380      17,236          8%  Rural                14        10.1
Arkansas     Miller Co.         4,915      42,484       11.6%  Urban                46         9.4
Arkansas     Mississippi        6,190      38,829       15.9%  Rural                49         7.9
              Co.
Arkansas     Monroe Co.         1,039       6,574       15.8%  Rural                17        16.4
Arkansas     Montgomery           745       8,531        8.7%  Rural                 7         9.4
              Co.
Arkansas     Nevada Co.           826       8,191       10.1%  Rural                 9        10.9
Arkansas     Newton Co.           706       7,093         10%  Rural                 6         8.5
Arkansas     Ouachita Co.       2,584      22,010       11.7%  Rural                26        10.1
Arkansas     Perry Co.            768      10,073        7.6%  Urban                 7         9.1
Arkansas     Phillips Co.       4,252      15,344       27.7%  Rural                29         6.8  8Higher-
                                                                                                     risk0
Arkansas     Pike Co.           1,176      10,123       11.6%  Rural                16        13.6
Arkansas     Poinsett Co.       3,181      22,434       14.2%  Urban                29         9.1
Arkansas     Polk Co.           2,062      19,368       10.6%  Rural                12         5.8
Arkansas     Pope Co.           4,157      64,023        6.5%  Rural                40         9.6
Arkansas     Prairie Co.          638       8,038        7.9%  Rural                11        17.2
Arkansas     Pulaski Co.       36,400     399,886        9.1%  Urban               341         9.4
Arkansas     Randolph Co.       1,754      18,842        9.3%  Rural                18        10.3
Arkansas     St. Francis        3,955      22,387       17.7%  Rural                33         8.3
              Co.
Arkansas     Saline Co.         5,419     127,419        4.3%  Urban                83        15.3
Arkansas     Scott Co.          1,492       9,787       15.2%  Rural                13         8.7
Arkansas     Searcy Co.           731       7,905        9.2%  Rural                11        15.0
Arkansas     Sebastian         11,622     129,226          9%  Urban               126        10.8
              Co.
Arkansas     Sevier Co.         1,524      15,681        9.7%  Rural                21        13.8
Arkansas     Sharp Co.          2,121      17,790       11.9%  Rural                22        10.4
Arkansas     Stone Co.          1,296      12,591       10.3%  Rural                11         8.5
Arkansas     Union Co.          4,084      37,858       10.8%  Rural                29         7.1
Arkansas     Van Buren          1,419      16,114        8.8%  Rural                12         8.5
              Co.
Arkansas     Washington        10,123     257,316        3.9%  Urban               156        15.4
              Co.
Arkansas     White Co.          6,764      77,645        8.7%  Rural                68        10.1
Arkansas     Woodruff Co.         970       6,038       16.1%  Rural                 8         8.2
Arkansas     Yell Co.           1,652      20,121        8.2%  Rural                25        15.1
California   Alameda Co.      157,744   1,635,693        9.6%  Urban             1,054         6.7
California   Alpine Co.           125       1,169       10.7%  Rural                 0         0.0
California   Amador Co.         3,731      41,486          9%  Rural                32         8.6
California   Butte Co.         35,438     207,384       17.1%  Urban               209         5.9
California   Calaveras          5,622      46,544       12.1%  Rural                44         7.8
              Co.
California   Colusa Co.         2,471      21,952       11.3%  Rural                28        11.3
California   Contra Costa      94,421   1,160,296        8.1%  Urban               714         7.6
              Co.
California   Del Norte          6,179      26,758       23.1%  Rural                32         5.2  8Higher-
              Co.                                                                                    risk0
California   El Dorado         12,736     193,071        6.6%  Urban               126         9.9
              Co.
California   Fresno Co.       237,466   1,017,107       23.3%  Urban             1,044         4.4  8Higher-
                                                                                                     risk0
California   Glenn Co.          4,055      28,371       14.3%  Rural                43        10.6
California   Humboldt Co.      26,310     135,013       19.5%  Rural               170         6.5
California   Imperial Co.      45,820     179,767       25.5%  Urban               171         3.7  8Higher-
                                                                                                     risk0
California   Inyo Co.           2,253      18,745         12%  Rural                19         8.4
California   Kern Co.         180,911     917,293       19.7%  Urban               975         5.4
California   Kings Co.         27,816     152,776       18.2%  Urban               135         4.9
California   Lake Co.          15,399      68,239       22.6%  Rural                76         4.9  8Higher-
                                                                                                     risk0
California   Lassen Co.         3,848      30,401       12.7%  Rural                33         8.6
California   Los Angeles    1,504,632   9,748,447       15.4%  Urban             8,477         5.6
              Co.
California   Madera Co.        32,255     160,414       20.1%  Urban               179         5.5
California   Marin Co.         13,848     257,143        5.4%  Urban               125         9.0
California   Mariposa Co.       2,778      17,095       16.3%  Rural                15         5.4
California   Mendocino         15,711      90,027       17.5%  Rural               108         6.9
              Co.
California   Merced Co.        58,437     292,034         20%  Urban               288         4.9
California   Modoc Co.          1,797       8,625       20.8%  Rural                15         8.3
California   Mono Co.             660      13,055        5.1%  Rural                 8        12.1
California   Monterey Co.      45,586     436,427       10.4%  Urban               314         6.9
California   Napa Co.           8,172     134,492        6.1%  Urban                75         9.2
California   Nevada Co.         8,995     102,356        8.8%  Rural                72         8.0
California   Orange Co.       291,350   3,158,489        9.2%  Urban             2,104         7.2
California   Placer Co.        20,891     418,439          5%  Urban               241        11.5
California   Plumas Co.         2,357      19,433       12.1%  Rural                24        10.2
California   Riverside        293,758   2,479,628       11.8%  Urban             1,890         6.4
              Co.
California   Sacramento       249,008   1,588,743       15.7%  Urban             1,316         5.3
              Co.
California   San Benito         6,114      67,715          9%  Urban                24         3.9
              Co.
California   San              345,028   2,196,029       15.7%  Urban             2,004         5.8
              Bernardino
              Co.
California   San Diego        391,261   3,283,755       11.9%  Urban             2,366         6.0
              Co.
California   San               98,175     814,176       12.1%  Urban               602         6.1
              Francisco
              Co.
California   San Joaquin      113,700     795,880       14.3%  Urban               696         6.1
              Co.
California   San Luis          22,296     282,535        7.9%  Urban               204         9.1
              Obispo Co.
California   San Mateo         32,023     732,485        4.4%  Urban               333        10.4
              Co.
California   Santa             52,069     445,286       11.7%  Urban               307         5.9
              Barbara Co.
California   Santa Clara      121,312   1,883,653        6.4%  Urban               934         7.7
              Co.
California   Santa Cruz        30,230     265,851       11.4%  Urban               172         5.7
              Co.
California   Shasta Co.        27,553     180,972       15.2%  Urban               203         7.4
California   Sierra Co.           329       3,215       10.2%  Rural                 4        12.2
California   Siskiyou Co.       8,473      43,746       19.4%  Rural                78         9.2
California   Solano Co.        51,102     449,724       11.4%  Urban               305         6.0
California   Sonoma Co.        37,290     483,398        7.7%  Urban               373        10.0
California   Stanislaus        79,816     552,410       14.4%  Urban               579         7.3
              Co.
California   Sutter Co.        13,342      98,682       13.5%  Urban                99         7.4
California   Tehama Co.        11,386      65,269       17.4%  Rural                70         6.1
California   Trinity Co.        2,594      15,777       16.4%  Rural                24         9.3
California   Tulare Co.       126,486     478,288       26.4%  Urban               494         3.9  8Higher-
                                                                                                     risk0
California   Tuolumne Co.       6,044      53,951       11.2%  Rural                46         7.6
California   Ventura Co.       71,864     835,032        8.6%  Urban               623         8.7
California   Yolo Co.          24,324     223,338       10.9%  Urban               179         7.4
California   Yuba Co.          17,446      84,335       20.7%  Urban                89         5.1
Colorado     Adams Co.         60,533     528,356       11.5%  Urban               289         4.8
Colorado     Alamosa Co.        4,627      16,593       27.9%  Rural                21         4.5  8Higher-
                                                                                                     risk0
Colorado     Arapahoe Co.      60,505     658,176        9.2%  Urban               346         5.7
Colorado     Archuleta          1,648      13,987       11.8%  Rural                 9         5.5
              Co.
Colorado     Baca Co.             722       3,435         21%  Rural                 8        11.1
Colorado     Bent Co.             975       5,430         18%  Rural                 6         6.2
Colorado     Boulder Co.       18,277     328,039        5.6%  Urban               154         8.4
Colorado     Broomfield         3,035      76,245          4%  Urban                33        10.9
              Co.
Colorado     Chaffee Co.        1,643      20,266        8.1%  Rural                19        11.6
Colorado     Cheyenne Co.         189       1,734       10.9%  Rural                 3        15.9
Colorado     Clear Creek          550       9,324        5.9%  Urban                 6        10.9
              Co.
Colorado     Conejos Co.        1,650       7,560       21.8%  Rural                 7         4.2
Colorado     Costilla Co.       1,327       3,609       36.8%  Rural                 9         6.8  8Higher-
                                                                                                     risk0
Colorado     Crowley Co.        1,016       5,601       18.1%  Rural                 4         3.9
Colorado     Custer Co.           453       5,343        8.5%  Rural                 5        11.0
Colorado     Delta Co.          4,290      31,573       13.6%  Rural                21         4.9
Colorado     Denver Co.        86,859     714,851       12.2%  Urban               354         4.1
Colorado     Dolores Co.          300       2,460       12.2%  Rural                 3        10.0
Colorado     Douglas Co.        7,615     376,462          2%  Urban               118        15.5
Colorado     Eagle Co.          1,448      55,303        2.6%  Rural                19        13.1
Colorado     Elbert Co.         1,025      27,817        3.7%  Urban                11        10.7
Colorado     El Paso Co.       78,360     742,676       10.6%  Urban               376         4.8
Colorado     Fremont Co.        7,845      49,585       15.8%  Rural                32         4.1
Colorado     Garfield Co.       4,172      62,388        6.7%  Rural                51        12.2
Colorado     Gilpin Co.           501       5,910        8.5%  Urban                 4         8.0
Colorado     Grand Co.            441      15,748        2.8%  Rural                10        22.7
Colorado     Gunnison Co.       1,027      17,319        5.9%  Rural                13        12.7
Colorado     Hinsdale Co.           9         773        1.2%  Rural                 1       111.1
Colorado     Huerfano Co.       1,825       7,077       25.8%  Rural                12         6.6  8Higher-
                                                                                                     risk0
Colorado     Jackson Co.          116       1,314        8.8%  Rural                 3        25.9
Colorado     Jefferson         33,873     576,635        5.9%  Urban               272         8.0
              Co.
Colorado     Kiowa Co.            232       1,430       16.2%  Rural                 4        17.2
Colorado     Kit Carson           933       7,010       13.3%  Rural                11        11.8
              Co.
Colorado     Lake Co.             463       7,356        6.3%  Rural                 9        19.4
Colorado     La Plata Co.       4,529      56,577          8%  Rural                41         9.1
Colorado     Larimer Co.       29,323     368,017          8%  Urban               182         6.2
Colorado     Las Animas         3,323      14,312       23.2%  Rural                15         4.5  8Higher-
              Co.                                                                                    risk0
Colorado     Lincoln Co.          786       5,520       14.2%  Rural                 7         8.9
Colorado     Logan Co.          2,887      20,829       13.9%  Rural                 9         3.1
Colorado     Mesa Co.          18,935     158,585       11.9%  Urban               105         5.5
Colorado     Mineral Co.           49         923        5.3%  Rural                 1        20.4
Colorado     Moffat Co.         1,474      13,172       11.2%  Rural                11         7.5
Colorado     Montezuma          4,892      26,491       18.5%  Rural                32         6.5
              Co.
Colorado     Montrose Co.       5,456      43,845       12.4%  Rural                33         6.0
Colorado     Morgan Co.         3,847      29,392       13.1%  Rural                31         8.1
Colorado     Otero Co.          4,689      18,272       25.7%  Rural                26         5.5  8Higher-
                                                                                                     risk0
Colorado     Ouray Co.            211       5,108        4.1%  Rural                 3        14.2
Colorado     Park Co.           1,367      17,929        7.6%  Urban                 8         5.9
Colorado     Phillips Co.         469       4,464       10.5%  Rural                 6        12.8
Colorado     Pitkin Co.           269      16,877        1.6%  Rural                 6        22.3
Colorado     Prowers Co.        2,731      11,834       23.1%  Rural                14         5.1  8Higher-
                                                                                                     risk0
Colorado     Pueblo Co.        42,097     169,485       24.8%  Urban               123         2.9  8Higher-
                                                                                                     risk0
Colorado     Rio Blanco           764       6,561       11.6%  Rural                12        15.7
              Co.
Colorado     Rio Grande         2,429      11,329       21.4%  Rural                20         8.2
              Co.
Colorado     Routt Co.            616      25,112        2.5%  Rural                14        22.7
Colorado     Saguache Co.       1,379       6,632       20.8%  Rural                 8         5.8
Colorado     San Juan Co.          51         796        6.4%  Rural                 2        39.2
Colorado     San Miguel           317       8,011          4%  Rural                 7        22.1
              Co.
Colorado     Sedgwick Co.         428       2,294       18.7%  Rural                 2         4.7
Colorado     Summit Co.           719      30,905        2.3%  Rural                18        25.0
Colorado     Teller Co.         2,444      24,858        9.8%  Urban                21         8.6
Colorado     Washington           604       4,840       12.5%  Rural                 2         3.3
              Co.
Colorado     Weld Co.          32,118     350,610        9.2%  Urban               177         5.5
Colorado     Yuma Co.           1,267       9,970       12.7%  Rural                11         8.7
Connecticut  Capitol          122,573     975,591       12.6%  Urban               773         6.3
              Planning
              Region
Connecticut  Greater           42,740     328,131         13%  Urban               203         4.7
              Bridgeport
              Planning
              Region
Connecticut  Lower             10,746     176,159        6.1%  Urban               105         9.8
              Connecticut
              River
              Valley
              Planning
              Region
Connecticut  Naugatuck         63,091     453,868       13.9%  Urban               349         5.5
              Valley
              Planning
              Region
Connecticut  Northeastern       9,323      96,169        9.7%  Rural                68         7.3
              Connecticut
              Planning
              Region
Connecticut  Northwest          8,963     113,289        7.9%  Rural                68         7.6
              Hills
              Planning
              Region
Connecticut  South             76,429     569,866       13.4%  Urban               437         5.7
              Central
              Connecticut
              Planning
              Region
Connecticut  Southeastern      33,788     279,398       12.1%  Urban               226         6.7
              Connecticut
              Planning
              Region
Connecticut  Western           21,768     625,454        3.5%  Urban               247        11.3
              Connecticut
              Planning
              Region
Delaware     Kent Co.          31,322     187,819       16.7%  Urban               140         4.5
Delaware     New Castle        71,285     576,316       12.4%  Urban               478         6.7
              Co.
Delaware     Sussex Co.        18,864     256,490        7.4%  Rural               218        11.6
District of  District of      139,407     676,725       20.6%  Urban               416         3.0
 Columbia     Columbia
Florida      Alachua Co.       33,655     285,241       11.8%  Urban               217         6.4
Florida      Baker Co.          4,211      27,781       15.2%  Urban                32         7.6
Florida      Bay Co.           23,697     185,732       12.8%  Urban               225         9.5
Florida      Bradford Co.       4,609      27,275       16.9%  Rural                32         6.9
Florida      Brevard Co.       64,797     631,956       10.3%  Urban               471         7.3
Florida      Broward Co.      249,980   1,966,237       12.7%  Urban             1,086         4.3
Florida      Calhoun Co.        2,393      13,462       17.8%  Rural                 9         3.8
Florida      Charlotte         14,536     203,113        7.2%  Urban               120         8.3
              Co.
Florida      Citrus Co.        20,921     162,586       12.9%  Urban               118         5.6
Florida      Clay Co.          20,651     226,797        9.1%  Urban               140         6.8
Florida      Collier Co.       20,948     400,510        5.2%  Urban               238        11.4
Florida      Columbia Co.      13,729      71,941       19.1%  Rural                95         6.9
Florida      DeSoto Co.         5,501      35,483       15.5%  Rural                30         5.5
Florida      Dixie Co.          3,607      16,839       21.4%  Rural                21         5.8
Florida      Duval Co.        159,784   1,021,040       15.6%  Urban               920         5.8
Florida      Escambia Co.      49,040     324,227       15.1%  Urban               317         6.5
Florida      Flagler Co.       11,447     126,974          9%  Urban                70         6.1
Florida      Franklin Co.       1,391      12,491       11.1%  Rural                13         9.3
Florida      Gadsden Co.        9,970      43,389         23%  Urban                50         5.0  8Higher-
                                                                                                     risk0
Florida      Gilchrist          2,941      19,027       15.5%  Urban                20         6.8
              Co.
Florida      Glades Co.         1,404      12,496       11.2%  Rural                 9         6.4
Florida      Gulf Co.           1,816      15,302       11.9%  Rural                20        11.0
Florida      Hamilton Co.       2,646      13,216         20%  Rural                22         8.3
Florida      Hardee Co.         5,446      25,692       21.2%  Rural                28         5.1
Florida      Hendry Co.         9,165      41,725         22%  Rural                43         4.7
Florida      Hernando Co.      29,423     207,169       14.2%  Urban               148         5.0
Florida      Highlands         19,024     105,954         18%  Urban                91         4.8
              Co.
Florida      Hillsborough     225,257   1,523,839       14.8%  Urban             1,073         4.8
              Co.
Florida      Holmes Co.         4,183      19,324       21.6%  Rural                25         6.0
Florida      Indian River      15,559     167,698        9.3%  Urban               109         7.0
              Co.
Florida      Jackson Co.        8,231      48,294         17%  Rural                50         6.1
Florida      Jefferson          1,846      15,090       12.2%  Urban                20        10.8
              Co.
Florida      Lafayette            970       7,786       12.5%  Rural                 7         7.2
              Co.
Florida      Lake Co.          44,167     410,981       10.7%  Urban               265         6.0
Florida      Lee Co.           91,972     826,567       11.1%  Urban               541         5.9
Florida      Leon Co.          36,931     298,181       12.4%  Urban               219         5.9
Florida      Levy Co.           7,252      45,291         16%  Urban                55         7.6
Florida      Liberty Co.        1,198       7,609       15.7%  Rural                 9         7.5
Florida      Madison Co.        2,967      17,978       16.5%  Rural                26         8.8
Florida      Manatee Co.       36,680     430,700        8.5%  Urban               266         7.3
Florida      Marion Co.        60,561     396,661       15.3%  Urban               343         5.7
Florida      Martin Co.        11,225     162,379        6.9%  Urban               117        10.4
Florida      Miami-Dade       604,250   2,713,415       22.3%  Urban             1,358         2.2
              Co.
Florida      Monroe Co.         6,422      82,002        7.8%  Rural                78        12.1
Florida      Nassau Co.         6,644      97,891        6.8%  Urban                74        11.1
Florida      Okaloosa Co.      17,016     217,115        7.8%  Urban               174        10.2
Florida      Okeechobee         8,377      40,416       20.7%  Rural                46         5.5
              Co.
Florida      Orange Co.       202,121   1,465,146       13.8%  Urban               965         4.8
Florida      Osceola Co.       71,467     426,556       16.8%  Urban               258         3.6
Florida      Palm Beach       162,053   1,531,542       10.6%  Urban               805         5.0
              Co.
Florida      Pasco Co.         67,782     610,584       11.1%  Urban               379         5.6
Florida      Pinellas Co.      97,006     964,693       10.1%  Urban               746         7.7
Florida      Polk Co.         141,934     790,530         18%  Urban               609         4.3
Florida      Putnam Co.        16,670      74,805       22.3%  Rural                95         5.7
Florida      St. Johns         12,024     307,837        3.9%  Urban               162        13.5
              Co.
Florida      St. Lucie         46,256     359,882       12.9%  Urban               220         4.8
              Co.
Florida      Santa Rosa        14,779     198,363        7.5%  Urban               137         9.3
              Co.
Florida      Sarasota Co.      26,404     464,067        5.7%  Urban               257         9.7
Florida      Seminole Co.      42,608     481,084        8.9%  Urban               285         6.7
Florida      Sumter Co.         8,774     144,978        6.1%  Urban                90        10.3
Florida      Suwannee Co.       8,749      45,370       19.3%  Rural                58         6.6
Florida      Taylor Co.         4,867      21,347       22.8%  Rural                33         6.8  8Higher-
                                                                                                     risk0
Florida      Union Co.          2,290      15,490       14.8%  Rural                14         6.1
Florida      Volusia Co.       75,617     580,481         13%  Urban               442         5.8
Florida      Wakulla Co.        3,365      35,159        9.6%  Urban                28         8.3
Florida      Walton Co.         6,155      83,100        7.4%  Urban                64        10.4
Florida      Washington         3,422      25,426       13.5%  Urban                35        10.2
              Co.
Georgia      Appling Co.        3,887      18,479         21%  Rural                35         9.0
Georgia      Atkinson Co.       1,846       8,236       22.4%  Rural                16         8.7
Georgia      Bacon Co.          2,491      11,174       22.3%  Rural                18         7.2
Georgia      Baker Co.            798       2,796       28.5%  Rural                 3         3.8  8Higher-
                                                                                                     risk0
Georgia      Baldwin Co.        7,816      43,649       17.9%  Rural                64         8.2
Georgia      Banks Co.          2,344      19,404       12.1%  Rural                20         8.5
Georgia      Barrow Co.         9,719      89,359       10.9%  Urban                81         8.3
Georgia      Bartow Co.        14,253     112,805       12.6%  Urban               104         7.3
Georgia      Ben Hill Co.       4,203      17,055       24.6%  Rural                32         7.6  8Higher-
                                                                                                     risk0
Georgia      Berrien Co.        3,754      18,238       20.6%  Rural                25         6.7
Georgia      Bibb Co.          40,989     156,115       26.3%  Urban               212         5.2  8Higher-
                                                                                                     risk0
Georgia      Bleckley Co.       2,244      12,270       18.3%  Rural                15         6.7
Georgia      Brantley Co.       3,913      18,196       21.5%  Urban                24         6.1
Georgia      Brooks Co.         3,621      16,300       22.2%  Urban                25         6.9
Georgia      Bryan Co.          3,771      48,316        7.8%  Urban                37         9.8
Georgia      Bulloch Co.       12,921      83,027       15.6%  Rural               103         8.0
Georgia      Burke Co.          5,775      24,433       23.6%  Urban                35         6.1  8Higher-
                                                                                                     risk0
Georgia      Butts Co.          4,157      26,745       15.5%  Urban                30         7.2
Georgia      Calhoun Co.        1,369       5,471         25%  Rural                 7         5.1  8Higher-
                                                                                                     risk0
Georgia      Camden Co.         6,020      57,036       10.6%  Rural                63        10.5
Georgia      Candler Co.        2,509      11,000       22.8%  Rural                16         6.4  8Higher-
                                                                                                     risk0
Georgia      Carroll Co.       18,903     124,564       15.2%  Urban               124         6.6
Georgia      Catoosa Co.        7,524      68,840       10.9%  Urban                67         8.9
Georgia      Charlton Co.       1,876      12,781       14.7%  Rural                19        10.1
Georgia      Chatham Co.       44,807     301,512       14.9%  Urban               319         7.1
Georgia      Chattahooche         721       8,773        8.2%  Urban                 3         4.2
              e Co.
Georgia      Chattooga          5,475      24,921         22%  Rural                31         5.7
              Co.
Georgia      Cherokee Co.      13,328     281,455        4.7%  Urban               122         9.2
Georgia      Clarke Co.        15,853     129,954       12.2%  Urban               122         7.7
Georgia      Clay Co.             966       2,862       33.8%  Rural                 5         5.2  8Higher-
                                                                                                     risk0
Georgia      Clayton Co.       73,512     298,862       24.6%  Urban               274         3.7  8Higher-
                                                                                                     risk0
Georgia      Clinch Co.         1,659       6,684       24.8%  Rural                16         9.6
Georgia      Cobb Co.          62,007     774,162          8%  Urban               441         7.1
Georgia      Coffee Co.         9,565      43,311       22.1%  Rural                70         7.3
Georgia      Colquitt Co.      10,459      45,952       22.8%  Rural                68         6.5  8Higher-
                                                                                                     risk0
Georgia      Columbia Co.      10,346     162,681        6.4%  Urban               101         9.8
Georgia      Cook Co.           3,882      17,414       22.3%  Rural                29         7.5
Georgia      Coweta Co.        13,957     153,002        9.1%  Urban               111         8.0
Georgia      Crawford Co.       2,137      12,197       17.5%  Urban                12         5.6
Georgia      Crisp Co.          5,959      19,755       30.2%  Rural                47         7.9  8Higher-
                                                                                                     risk0
Georgia      Dade Co.           1,779      16,114         11%  Urban                32        18.0
Georgia      Dawson Co.         2,035      30,175        6.7%  Urban                30        14.7
Georgia      Decatur Co.        7,159      29,038       24.7%  Rural                45         6.3  8Higher-
                                                                                                     risk0
Georgia      DeKalb Co.       127,335     764,440       16.7%  Urban               584         4.6
Georgia      Dodge Co.          4,606      19,903       23.1%  Rural                25         5.4  8Higher-
                                                                                                     risk0
Georgia      Dooly Co.          2,302      10,639       21.6%  Rural                18         7.8
Georgia      Dougherty         28,400      82,972       34.2%  Urban               156         5.5  8Higher-
              Co.                                                                                    risk0
Georgia      Douglas Co.       23,884     147,690       16.2%  Urban               127         5.3
Georgia      Early Co.          3,282      10,567       31.1%  Rural                20         6.1  8Higher-
                                                                                                     risk0
Georgia      Echols Co.           713       3,694       19.3%  Urban                 2         2.8
Georgia      Effingham          6,411      69,030        9.3%  Urban                53         8.3
              Co.
Georgia      Elbert Co.         3,986      19,853       20.1%  Rural                26         6.5
Georgia      Emanuel Co.        5,976      22,953         26%  Rural                29         4.9  8Higher-
                                                                                                     risk0
Georgia      Evans Co.          2,427      10,662       22.8%  Rural                24         9.9
Georgia      Fannin Co.         2,655      25,702       10.3%  Rural                26         9.8
Georgia      Fayette Co.        6,493     122,150        5.3%  Urban                77        11.9
Georgia      Floyd Co.         15,996      99,586       16.1%  Urban               119         7.4
Georgia      Forsyth Co.        7,237     268,075        2.7%  Urban               106        14.6
Georgia      Franklin Co.       4,066      24,151       16.8%  Rural                35         8.6
Georgia      Fulton Co.       160,940   1,076,569       14.9%  Urban               684         4.3
Georgia      Gilmer Co.         3,657      32,413       11.3%  Rural                34         9.3
Georgia      Glascock Co.         437       2,919         15%  Rural                 5        11.4
Georgia      Glynn Co.         13,073      85,202       15.3%  Urban               123         9.4
Georgia      Gordon Co.         7,659      58,909         13%  Rural                73         9.5
Georgia      Grady Co.          5,117      26,056       19.6%  Rural                33         6.4
Georgia      Greene Co.         2,520      20,136       12.5%  Rural                29        11.5
Georgia      Gwinnett Co.      94,116     980,015        9.6%  Urban               581         6.2
Georgia      Habersham          5,236      47,558         11%  Rural                64        12.2
              Co.
Georgia      Hall Co.          19,407     213,126        9.1%  Urban               182         9.4
Georgia      Hancock Co.        1,679       8,453       19.9%  Rural                15         8.9
Georgia      Haralson Co.       5,615      31,340       17.9%  Urban                49         8.7
Georgia      Harris Co.         2,601      36,308        7.2%  Urban                25         9.6
Georgia      Hart Co.           3,992      26,877       14.9%  Rural                25         6.3
Georgia      Heard Co.          2,221      11,720         19%  Urban                12         5.4
Georgia      Henry Co.         35,314     248,559       14.2%  Urban               199         5.6
Georgia      Houston Co.       22,642     169,791       13.3%  Urban               157         6.9
Georgia      Irwin Co.          1,908       9,121       20.9%  Rural                11         5.8
Georgia      Jackson Co.        7,478      84,102        8.9%  Rural                67         9.0
Georgia      Jasper Co.         2,218      15,985       13.9%  Urban                13         5.9
Georgia      Jeff Davis         3,441      14,909       23.1%  Rural                19         5.5  8Higher-
              Co.                                                                                    risk0
Georgia      Jefferson          3,606      15,318       23.5%  Rural                28         7.8  8Higher-
              Co.                                                                                    risk0
Georgia      Jenkins Co.        2,028       8,661       23.4%  Rural                 8         3.9  8Higher-
                                                                                                     risk0
Georgia      Johnson Co.        1,990       9,255       21.5%  Rural                14         7.0
Georgia      Jones Co.          3,797      28,514       13.3%  Urban                20         5.3
Georgia      Lamar Co.          3,550      19,489       18.2%  Rural                14         3.9
Georgia      Lanier Co.         2,335      10,207       22.9%  Urban                11         4.7  8Higher-
                                                                                                     risk0
Georgia      Laurens Co.       12,147      49,705       24.4%  Rural                90         7.4  8Higher-
                                                                                                     risk0
Georgia      Lee Co.            4,212      33,699       12.5%  Urban                30         7.1
Georgia      Liberty Co.       11,126      68,031       16.4%  Urban                75         6.7
Georgia      Lincoln Co.        1,210       7,872       15.4%  Urban                 7         5.8
Georgia      Long Co.           3,112      18,409       16.9%  Urban                16         5.1
Georgia      Lowndes Co.       23,385     119,547       19.6%  Urban               138         5.9
Georgia      Lumpkin Co.        3,052      34,763        8.8%  Urban                23         7.5
Georgia      McDuffie Co.       4,868      21,727       22.4%  Urban                36         7.4
Georgia      McIntosh Co.       2,161      11,190       19.3%  Urban                19         8.8
Georgia      Macon Co.          2,651      11,778       22.5%  Rural                19         7.2
Georgia      Madison Co.        4,385      31,447       13.9%  Urban                36         8.2
Georgia      Marion Co.         1,709       7,464       22.9%  Urban                 9         5.3  8Higher-
                                                                                                     risk0
Georgia      Meriwether         4,443      20,892       21.3%  Urban                28         6.3
              Co.
Georgia      Miller Co.         1,259       5,790       21.7%  Rural                 9         7.1
Georgia      Mitchell Co.       5,671      21,182       26.8%  Rural                30         5.3  8Higher-
                                                                                                     risk0
Georgia      Monroe Co.         3,427      29,455       11.6%  Urban                30         8.8
Georgia      Montgomery         1,597       8,656       18.4%  Rural                12         7.5
              Co.
Georgia      Morgan Co.         2,456      21,048       11.7%  Urban                24         9.8
Georgia      Murray Co.         7,168      40,432       17.7%  Urban                50         7.0
Georgia      Muscogee Co.      43,076     202,658       21.3%  Urban               213         4.9
Georgia      Newton Co.        21,953     117,970       18.6%  Urban                86         3.9
Georgia      Oconee Co.         1,527      43,676        3.5%  Urban                25        16.4
Georgia      Oglethorpe         1,982      15,532       12.8%  Urban                11         5.5
              Co.
Georgia      Paulding Co.      17,858     178,885         10%  Urban                80         4.5
Georgia      Peach Co.          5,197      28,484       18.2%  Urban                39         7.5
Georgia      Pickens Co.        3,429      34,817        9.8%  Urban                31         9.0
Georgia      Pierce Co.         3,744      20,176       18.6%  Rural                23         6.1
Georgia      Pike Co.           1,921      19,936        9.6%  Urban                17         8.8
Georgia      Polk Co.           8,473      43,706       19.4%  Rural                53         6.3
Georgia      Pulaski Co.        1,794       9,953         18%  Rural                16         8.9
Georgia      Putnam Co.         3,394      22,928       14.8%  Rural                28         8.2
Georgia      Quitman Co.          592       2,254       26.3%  Rural                 6        10.1
Georgia      Rabun Co.          1,724      17,292         10%  Rural                18        10.4
Georgia      Randolph Co.       2,064       6,155       33.5%  Rural                11         5.3  8Higher-
                                                                                                     risk0
Georgia      Richmond Co.      47,098     206,510       22.8%  Urban               247         5.2  8Higher-
                                                                                                     risk0
Georgia      Rockdale Co.      16,899      95,016       17.8%  Urban                91         5.4
Georgia      Schley Co.           839       4,503       18.6%  Rural                 4         4.8
Georgia      Screven Co.        3,313      13,977       23.7%  Rural                22         6.6  8Higher-
                                                                                                     risk0
Georgia      Seminole Co.       2,249       9,129       24.6%  Rural                10         4.4  8Higher-
                                                                                                     risk0
Georgia      Spalding Co.      15,675      69,015       22.7%  Urban                80         5.1  8Higher-
                                                                                                     risk0
Georgia      Stephens Co.       5,242      26,724       19.6%  Rural                36         6.9
Georgia      Stewart Co.        1,132       4,634       24.4%  Urban                 8         7.1  8Higher-
                                                                                                     risk0
Georgia      Sumter Co.         8,748      28,880       30.3%  Rural                40         4.6  8Higher-
                                                                                                     risk0
Georgia      Talbot Co.         1,258       5,759       21.8%  Urban                 6         4.8
Georgia      Taliaferro           325       1,600       20.3%  Rural                 3         9.2
              Co.
Georgia      Tattnall Co.       4,186      24,012       17.4%  Rural                39         9.3
Georgia      Taylor Co.         1,834       7,767       23.6%  Rural                 8         4.4  8Higher-
                                                                                                     risk0
Georgia      Telfair Co.        2,928      12,416       23.6%  Rural                19         6.5  8Higher-
                                                                                                     risk0
Georgia      Terrell Co.        2,774       8,782       31.6%  Urban                15         5.4  8Higher-
                                                                                                     risk0
Georgia      Thomas Co.         8,986      45,542       19.7%  Rural                64         7.1
Georgia      Tift Co.           9,153      41,378       22.1%  Rural                81         8.8
Georgia      Toombs Co.         6,919      26,881       25.7%  Rural                45         6.5  8Higher-
                                                                                                     risk0
Georgia      Towns Co.          1,071      12,944        8.3%  Rural                19        17.7
Georgia      Treutlen Co.       1,679       6,353       26.4%  Rural                10         6.0  8Higher-
                                                                                                     risk0
Georgia      Troup Co.         14,324      70,297       20.4%  Rural                95         6.6
Georgia      Turner Co.         2,353       8,842       26.6%  Rural                17         7.2  8Higher-
                                                                                                     risk0
Georgia      Twiggs Co.         1,693       7,688         22%  Urban                10         5.9
Georgia      Union Co.          2,124      26,400          8%  Rural                23        10.8
Georgia      Upson Co.          6,587      28,098       23.4%  Rural                32         4.9  8Higher-
                                                                                                     risk0
Georgia      Walker Co.        10,159      68,887       14.7%  Urban                80         7.9
Georgia      Walton Co.        12,380     103,056         12%  Urban                88         7.1
Georgia      Ware Co.           9,078      35,608       25.5%  Rural                58         6.4  8Higher-
                                                                                                     risk0
Georgia      Warren Co.         1,394       5,168         27%  Rural                 9         6.5  8Higher-
                                                                                                     risk0
Georgia      Washington         4,343      19,791       21.9%  Rural                26         6.0
              Co.
Georgia      Wayne Co.          6,383      30,786       20.7%  Rural                42         6.6
Georgia      Webster Co.          519       2,351       22.1%  Rural                 3         5.8
Georgia      Wheeler Co.        1,263       7,307       17.3%  Rural                 8         6.3
Georgia      White Co.          2,991      28,810       10.4%  Rural                23         7.7
Georgia      Whitfield         13,651     103,252       13.2%  Urban               136        10.0
              Co.
Georgia      Wilcox Co.         1,762       8,747       20.1%  Rural                17         9.6
Georgia      Wilkes Co.         2,126       9,585       22.2%  Rural                18         8.5
Georgia      Wilkinson          1,948       8,689       22.4%  Rural                15         7.7
              Co.
Georgia      Worth Co.          4,424      20,420       21.7%  Urban                24         5.4
Hawaii       Hawaii Co.        37,263     206,324       18.1%  Rural               182         4.9
Hawaii       Honolulu Co.      90,431     995,652        9.1%  Urban               544         6.0
Hawaii       Kalawao Co.                       81          0%  Urban                 0         0.0
Hawaii       Kauai Co.          7,807      73,823       10.6%  Rural                70         9.0
Hawaii       Maui Co.          16,442     164,479         10%  Urban               125         7.6
Idaho        Ada Co.           23,992     520,788        4.6%  Urban               258        10.8
Idaho        Adams Co.            287       4,780          6%  Rural                 7        24.4
Idaho        Bannock Co.        8,988      89,871         10%  Urban                66         7.3
Idaho        Bear Lake            326       6,751        4.8%  Rural                 5        15.3
              Co.
Idaho        Benewah Co.          815      10,301        7.9%  Rural                 6         7.4
Idaho        Bingham Co.        4,121      49,997        8.2%  Rural                27         6.6
Idaho        Blaine Co.           406      25,186        1.6%  Rural                14        34.5
Idaho        Boise Co.            423       8,426          5%  Urban                 7        16.5
Idaho        Bonner Co.         2,795      51,521        5.4%  Rural                29        10.4
Idaho        Bonneville        10,053     129,690        7.8%  Urban                84         8.4
              Co.
Idaho        Boundary Co.         887      13,377        6.6%  Rural                11        12.4
Idaho        Butte Co.            260       2,692        9.7%  Urban                 2         7.7
Idaho        Camas Co.             46       1,168        3.9%  Rural                 1        21.7
Idaho        Canyon Co.        19,973     251,532        7.9%  Urban               126         6.3
Idaho        Caribou Co.          346       7,208        4.8%  Rural                 9        26.0
Idaho        Cassia Co.         2,149      25,625        8.4%  Rural                22        10.2
Idaho        Clark Co.             52         812        6.4%  Rural                 1        19.2
Idaho        Clearwater           653       9,034        7.2%  Rural                 8        12.3
              Co.
Idaho        Custer Co.           259       4,503        5.8%  Rural                 5        19.3
Idaho        Elmore Co.         2,171      29,494        7.4%  Rural                16         7.4
Idaho        Franklin Co.         508      15,172        3.3%  Urban                 6        11.8
Idaho        Fremont Co.          747      14,048        5.3%  Rural                 6         8.0
Idaho        Gem Co.            1,393      20,739        6.7%  Urban                12         8.6
Idaho        Gooding Co.        1,237      15,890        7.8%  Rural                13        10.5
Idaho        Idaho Co.          1,002      17,670        5.7%  Rural                14        14.0
Idaho        Jefferson          1,564      33,365        4.7%  Urban                10         6.4
              Co.
Idaho        Jerome Co.         2,042      25,228        8.1%  Urban                19         9.3
Idaho        Kootenai Co.       9,712     183,540        5.3%  Urban               110        11.3
Idaho        Latah Co.          1,857      41,330        4.5%  Rural                23        12.4
Idaho        Lemhi Co.            592       8,286        7.1%  Rural                 9        15.2
Idaho        Lewis Co.            442       3,727       11.9%  Rural                 5        11.3
Idaho        Lincoln Co.          413       5,365        7.7%  Rural                 3         7.3
Idaho        Madison Co.        2,494      55,427        4.5%  Rural                12         4.8
Idaho        Minidoka Co.       1,640      22,202        7.4%  Rural                12         7.3
Idaho        Nez Perce          3,001      43,003          7%  Urban                36        12.0
              Co.
Idaho        Oneida Co.           252       4,740        5.3%  Rural                 4        15.9
Idaho        Owyhee Co.         1,190      12,644        9.4%  Urban                 9         7.6
Idaho        Payette Co.        2,426      26,934          9%  Rural                22         9.1
Idaho        Power Co.            794       8,122        9.8%  Rural                 6         7.6
Idaho        Shoshone Co.       1,593      13,951       11.4%  Rural                16        10.0
Idaho        Teton Co.            230      12,553        1.8%  Rural                 5        21.7
Idaho        Twin Falls         8,010      93,973        8.5%  Urban                58         7.2
              Co.
Idaho        Valley Co.           389      12,436        3.1%  Rural                11        28.3
Idaho        Washington           972      11,198        8.7%  Rural                15        15.4
              Co.
Illinois     Adams Co.         11,336      64,526       17.6%  Rural                60         5.3
Illinois     Alexander          2,090       4,859         43%  Urban                 5         2.4  8Higher-
              Co.                                                                                    risk0
Illinois     Bond Co.           2,188      16,716       13.1%  Urban                13         5.9
Illinois     Boone Co.          7,242      53,084       13.6%  Urban                30         4.1
Illinois     Brown Co.            611       6,321        9.7%  Rural                 4         6.5
Illinois     Bureau Co.         4,969      32,862       15.1%  Rural                40         8.0
Illinois     Calhoun Co.          564       4,335         13%  Urban                 3         5.3
Illinois     Carroll Co.        2,127      15,553       13.7%  Rural                19         8.9
Illinois     Cass Co.           2,277      12,672         18%  Rural                14         6.1
Illinois     Champaign         31,520     208,033       15.2%  Urban               164         5.2
              Co.
Illinois     Christian          5,982      33,410       17.9%  Rural                35         5.9
              Co.
Illinois     Clark Co.          2,426      15,211       15.9%  Rural                18         7.4
Illinois     Clay Co.           2,641      13,053       20.2%  Rural                14         5.3
Illinois     Clinton Co.        3,079      36,987        8.3%  Urban                40        13.0
Illinois     Coles Co.          9,860      46,708       21.1%  Rural                45         4.6
Illinois     Cook Co.         966,185   5,133,106       18.8%  Urban             3,492         3.6
Illinois     Crawford Co.       3,081      18,516       16.6%  Rural                18         5.8
Illinois     Cumberland         1,349      10,296       13.1%  Rural                 9         6.7
              Co.
Illinois     DeKalb Co.        14,710     100,569       14.6%  Urban                78         5.3
Illinois     De Witt Co.        2,627      15,341       17.1%  Rural                17         6.5
Illinois     Douglas Co.        2,393      19,702       12.1%  Rural                26        10.9
Illinois     DuPage Co.        68,290     925,143        7.4%  Urban               520         7.6
Illinois     Edgar Co.          3,466      16,426       21.1%  Rural                17         4.9
Illinois     Edwards Co.          919       6,073       15.1%  Rural                 8         8.7
Illinois     Effingham          3,863      34,336       11.3%  Rural                41        10.6
              Co.
Illinois     Fayette Co.        3,617      21,284         17%  Rural                23         6.4
Illinois     Ford Co.           1,974      13,270       14.9%  Urban                14         7.1
Illinois     Franklin Co.      10,017      37,226       26.9%  Rural                50         5.0  8Higher-
                                                                                                     risk0
Illinois     Fulton Co.         5,746      33,022       17.4%  Rural                31         5.4
Illinois     Gallatin Co.       1,145       4,842       23.6%  Rural                 3         2.6  8Higher-
                                                                                                     risk0
Illinois     Greene Co.         2,330      11,643         20%  Rural                14         6.0
Illinois     Grundy Co.         5,400      53,153       10.2%  Urban                39         7.2
Illinois     Hamilton Co.       1,327       7,976       16.6%  Rural                 7         5.3
Illinois     Hancock Co.        2,704      17,250       15.7%  Rural                26         9.6
Illinois     Hardin Co.         1,029       3,588       28.7%  Rural                 4         3.9  8Higher-
                                                                                                     risk0
Illinois     Henderson            988       6,168         16%  Rural                 7         7.1
              Co.
Illinois     Henry Co.          6,809      48,567         14%  Urban                50         7.3
Illinois     Iroquois Co.       4,545      26,417       17.2%  Rural                34         7.5
Illinois     Jackson Co.       12,427      53,004       23.4%  Rural                50         4.0  8Higher-
                                                                                                     risk0
Illinois     Jasper Co.         1,178       9,185       12.8%  Rural                 6         5.1
Illinois     Jefferson          7,739      36,415       21.3%  Rural                42         5.4
              Co.
Illinois     Jersey Co.         2,920      21,222       13.8%  Urban                14         4.8
Illinois     Jo Daviess         1,834      21,863        8.4%  Rural                15         8.2
              Co.
Illinois     Johnson Co.        1,993      13,401       14.9%  Rural                11         5.5
Illinois     Kane Co.          60,984     515,070       11.8%  Urban               284         4.7
Illinois     Kankakee Co.      21,650     106,221       20.4%  Urban               115         5.3
Illinois     Kendall Co.       11,392     137,602        8.3%  Urban                67         5.9
Illinois     Knox Co.          10,238      48,713         21%  Rural                46         4.5
Illinois     Lake Co.          71,260     712,143         10%  Urban               413         5.8
Illinois     LaSalle Co.       18,497     108,210       17.1%  Rural               127         6.9
Illinois     Lawrence Co.       2,633      14,937       17.6%  Rural                12         4.6
Illinois     Lee Co.            4,605      33,928       13.6%  Rural                34         7.4
Illinois     Livingston         5,039      35,513       14.2%  Rural                41         8.1
              Co.
Illinois     Logan Co.          4,551      27,654       16.5%  Rural                28         6.2
Illinois     McDonough          4,654      26,965       17.3%  Rural                29         6.2
              Co.
Illinois     McHenry Co.       22,111     311,921        7.1%  Urban               164         7.4
Illinois     McLean Co.        20,862     171,571       12.2%  Urban               133         6.4
Illinois     Macon Co.         25,674     101,369       25.3%  Urban               117         4.6  8Higher-
                                                                                                     risk0
Illinois     Macoupin Co.       7,519      44,239         17%  Urban                49         6.5
Illinois     Madison Co.       40,963     263,981       15.5%  Urban               246         6.0
Illinois     Marion Co.         9,555      36,878       25.9%  Rural                44         4.6  8Higher-
                                                                                                     risk0
Illinois     Marshall Co.       1,662      11,657       14.3%  Urban                19        11.4
Illinois     Mason Co.          2,465      12,717       19.4%  Rural                15         6.1
Illinois     Massac Co.         3,794      13,858       27.4%  Urban                12         3.2  8Higher-
                                                                                                     risk0
Illinois     Menard Co.         1,504      12,076       12.5%  Urban                 9         6.0
Illinois     Mercer Co.         1,794      15,512       11.6%  Urban                18        10.0
Illinois     Monroe Co.         1,433      35,107        4.1%  Urban                22        15.4
Illinois     Montgomery         5,253      27,971       18.8%  Rural                42         8.0
              Co.
Illinois     Morgan Co.         6,926      32,931         21%  Rural                42         6.1
Illinois     Moultrie Co.       1,734      14,361       12.1%  Rural                12         6.9
Illinois     Ogle Co.           6,075      51,437       11.8%  Rural                52         8.6
Illinois     Peoria Co.        40,422     178,503       22.6%  Urban               168         4.2  8Higher-
                                                                                                     risk0
Illinois     Perry Co.          3,312      20,503       16.2%  Rural                17         5.1
Illinois     Piatt Co.          1,373      16,678        8.2%  Urban                12         8.7
Illinois     Pike Co.           2,717      14,492       18.7%  Rural                20         7.4
Illinois     Pope Co.             703       3,757       18.7%  Rural                 3         4.3
Illinois     Pulaski Co.        1,801       4,966       36.3%  Rural                 9         5.0  8Higher-
                                                                                                     risk0
Illinois     Putnam Co.           554       5,562         10%  Rural                 6        10.8
Illinois     Randolph Co.       4,697      30,101       15.6%  Rural                32         6.8
Illinois     Richland Co.       3,147      15,536       20.3%  Rural                14         4.4
Illinois     Rock Island       27,405     141,812       19.3%  Urban               149         5.4
              Co.
Illinois     St. Clair         53,470     252,947       21.1%  Urban               221         4.1
              Co.
Illinois     Saline Co.         6,275      23,141       27.1%  Rural                33         5.3  8Higher-
                                                                                                     risk0
Illinois     Sangamon Co.      36,417     194,483       18.7%  Urban               185         5.1
Illinois     Schuyler Co.         690       6,755       10.2%  Rural                 7        10.1
Illinois     Scott Co.            848       4,898       17.3%  Rural                 3         3.5
Illinois     Shelby Co.         2,719      20,706       13.1%  Rural                26         9.6
Illinois     Stark Co.            833       5,324       15.6%  Urban                 6         7.2
Illinois     Stephenson         8,965      43,702       20.5%  Rural                43         4.8
              Co.
Illinois     Tazewell Co.      17,498     129,859       13.5%  Urban               113         6.5
Illinois     Union Co.          3,511      16,901       20.8%  Rural                21         6.0
Illinois     Vermilion         20,733      72,089       28.8%  Rural                85         4.1  8Higher-
              Co.                                                                                    risk0
Illinois     Wabash Co.         1,884      11,061         17%  Rural                14         7.4
Illinois     Warren Co.         2,866      16,368       17.5%  Rural                20         7.0
Illinois     Washington         1,347      13,650        9.9%  Rural                14        10.4
              Co.
Illinois     Wayne Co.          2,611      15,903       16.4%  Rural                18         6.9
Illinois     White Co.          2,752      13,636       20.2%  Rural                18         6.5
Illinois     Whiteside          9,343      54,602       17.1%  Rural                49         5.2
              Co.
Illinois     Will Co.          75,734     699,110       10.8%  Urban               422         5.6
Illinois     Williamson        14,011      66,565         21%  Rural                62         4.4
              Co.
Illinois     Winnebago         70,088     282,081       24.8%  Urban               289         4.1  8Higher-
              Co.                                                                                    risk0
Illinois     Woodford Co.       2,694      38,254          7%  Urban                28        10.4
Indiana      Adams Co.          1,753      36,204        4.8%  Rural                20        11.4
Indiana      Allen Co.         36,934     392,119        9.4%  Urban               330         8.9
Indiana      Bartholomew        5,724      83,746        6.8%  Urban                66        11.5
              Co.
Indiana      Benton Co.           787       8,676        9.1%  Urban                 7         8.9
Indiana      Blackford          1,421      11,905       11.9%  Rural                16        11.3
              Co.
Indiana      Boone Co.          2,097      74,403        2.8%  Urban                49        23.4
Indiana      Brown Co.            635      15,617        4.1%  Urban                 9        14.2
Indiana      Carroll Co.        1,098      20,507        5.4%  Urban                19        17.3
Indiana      Cass Co.           4,021      37,670       10.7%  Rural                38         9.5
Indiana      Clark Co.          7,738     124,306        6.2%  Urban               106        13.7
Indiana      Clay Co.           2,403      26,378        9.1%  Urban                28        11.7
Indiana      Clinton Co.        2,787      32,794        8.5%  Rural                34        12.2
Indiana      Crawford Co.         880      10,520        8.4%  Rural                12        13.6
Indiana      Daviess Co.        2,238      33,613        6.7%  Rural                32        14.3
Indiana      Dearborn Co.       2,919      50,976        5.7%  Urban                33        11.3
Indiana      Decatur Co.        1,936      26,458        7.3%  Rural                29        15.0
Indiana      DeKalb Co.         2,483      43,804        5.7%  Rural                33        13.3
Indiana      Delaware Co.      13,890     112,183       12.4%  Urban               118         8.5
Indiana      Dubois Co.         1,426      43,550        3.3%  Rural                47        33.0
Indiana      Elkhart Co.       13,610     207,161        6.6%  Urban               159        11.7
Indiana      Fayette Co.        3,769      23,342       16.1%  Rural                22         5.8
Indiana      Floyd Co.          5,668      80,662          7%  Urban                48         8.5
Indiana      Fountain Co.       1,191      16,601        7.2%  Rural                20        16.8
Indiana      Franklin Co.       1,256      23,107        5.4%  Urban                21        16.7
Indiana      Fulton Co.         1,647      20,353        8.1%  Rural                21        12.8
Indiana      Gibson Co.         2,185      33,004        6.6%  Rural                42        19.2
Indiana      Grant Co.          9,519      66,020       14.4%  Rural                86         9.0
Indiana      Greene Co.         2,939      31,076        9.5%  Rural                29         9.9
Indiana      Hamilton Co.       7,848     366,264        2.1%  Urban               153        19.5
Indiana      Hancock Co.        3,312      83,119          4%  Urban                54        16.3
Indiana      Harrison Co.       2,361      39,823        5.9%  Urban                31        13.1
Indiana      Hendricks          5,876     183,507        3.2%  Urban                84        14.3
              Co.
Indiana      Henry Co.          4,658      48,829        9.5%  Rural                54        11.6
Indiana      Howard Co.        10,824      83,574         13%  Urban                93         8.6
Indiana      Huntington         2,591      36,799          7%  Rural                30        11.6
              Co.
Indiana      Jackson Co.        3,495      46,385        7.5%  Rural                42        12.0
Indiana      Jasper Co.         2,475      33,280        7.4%  Urban                50        20.2
Indiana      Jay Co.            1,674      20,137        8.3%  Rural                18        10.8
Indiana      Jefferson          2,371      32,902        7.2%  Rural                30        12.7
              Co.
Indiana      Jennings Co.       2,022      27,468        7.4%  Rural                19         9.4
Indiana      Johnson Co.        9,200     165,951        5.5%  Urban                92        10.0
Indiana      Knox Co.           4,181      35,895       11.6%  Rural                36         8.6
Indiana      Kosciusko          4,109      80,676        5.1%  Rural                67        16.3
              Co.
Indiana      Lagrange Co.       1,362      40,865        3.3%  Rural                16        11.7
Indiana      Lake Co.          61,476     500,065       12.3%  Urban               455         7.4
Indiana      LaPorte Co.       12,665     111,810       11.3%  Urban               109         8.6
Indiana      Lawrence Co.       3,349      45,213        7.4%  Rural                36        10.7
Indiana      Madison Co.       16,338     131,524       12.4%  Urban               135         8.3
Indiana      Marion Co.       138,645     973,375       14.2%  Urban               906         6.5
Indiana      Marshall Co.       2,511      46,394        5.4%  Rural                47        18.7
Indiana      Martin Co.           831       9,808        8.5%  Rural                10        12.0
Indiana      Miami Co.          3,866      35,562       10.9%  Rural                37         9.6
Indiana      Monroe Co.         7,650     141,181        5.4%  Urban                80        10.5
Indiana      Montgomery         2,914      38,345        7.6%  Rural                43        14.8
              Co.
Indiana      Morgan Co.         4,756      72,239        6.6%  Urban                49        10.3
Indiana      Newton Co.         1,206      13,841        8.7%  Urban                17        14.1
Indiana      Noble Co.          2,145      47,281        4.5%  Rural                42        19.6
Indiana      Ohio Co.             314       6,089        5.2%  Urban                 5        15.9
Indiana      Orange Co.         1,696      19,633        8.6%  Rural                19        11.2
Indiana      Owen Co.           2,008      21,552        9.3%  Urban                19         9.5
Indiana      Parke Co.          1,577      16,365        9.6%  Rural                15         9.5
Indiana      Perry Co.          1,508      19,241        7.8%  Rural                14         9.3
Indiana      Pike Co.             968      12,139          8%  Rural                13        13.4
Indiana      Porter Co.         9,001     175,014        5.1%  Urban               108        12.0
Indiana      Posey Co.          1,759      25,111          7%  Urban                20        11.4
Indiana      Pulaski Co.          993      12,461          8%  Rural                18        18.1
Indiana      Putnam Co.         2,462      37,300        6.6%  Rural                30        12.2
Indiana      Randolph Co.       2,526      24,407       10.3%  Rural                27        10.7
Indiana      Ripley Co.         1,793      29,042        6.2%  Rural                27        15.1
Indiana      Rush Co.           1,385      16,661        8.3%  Rural                17        12.3
Indiana      St. Joseph        27,958     272,796       10.2%  Urban               231         8.3
              Co.
Indiana      Scott Co.          2,651      24,455       10.8%  Rural                27        10.2
Indiana      Shelby Co.         3,158      45,213          7%  Urban                37        11.7
Indiana      Spencer Co.        1,222      19,890        6.1%  Rural                17        13.9
Indiana      Starke Co.         2,599      23,251       11.2%  Rural                23         8.8
Indiana      Steuben Co.        1,779      34,731        5.1%  Rural                30        16.9
Indiana      Sullivan Co.       1,914      20,702        9.2%  Urban                25        13.1
Indiana      Switzerland        1,022       9,985       10.2%  Rural                11        10.8
              Co.
Indiana      Tippecanoe        13,580     189,402        7.2%  Urban               128         9.4
              Co.
Indiana      Tipton Co.           800      15,329        5.2%  Urban                15        18.8
Indiana      Union Co.            605       6,975        8.7%  Rural                 6         9.9
Indiana      Vanderburgh       18,447     179,725       10.3%  Urban               178         9.6
              Co.
Indiana      Vermillion         1,653      15,397       10.7%  Urban                18        10.9
              Co.
Indiana      Vigo Co.          13,765     106,066         13%  Urban               113         8.2
Indiana      Wabash Co.         2,039      30,869        6.6%  Rural                31        15.2
Indiana      Warren Co.           445       8,492        5.2%  Urban                 4         9.0
Indiana      Warrick Co.        2,291      65,297        3.5%  Urban                41        17.9
Indiana      Washington         2,093      28,158        7.4%  Urban                25        11.9
              Co.
Indiana      Wayne Co.          8,636      66,337         13%  Rural                64         7.4
Indiana      Wells Co.          1,454      28,339        5.1%  Urban                15        10.3
Indiana      White Co.          1,677      24,654        6.8%  Rural                37        22.1
Indiana      Whitley Co.        1,157      34,600        3.3%  Urban                21        18.2
Iowa         Adair Co.            466       7,457        6.2%  Rural                 9        19.3
Iowa         Adams Co.            301       3,602        8.4%  Rural                 4        13.3
Iowa         Allamakee            945      14,072        6.7%  Rural                17        18.0
              Co.
Iowa         Appanoose          1,377      12,135       11.3%  Rural                17        12.3
              Co.
Iowa         Audubon Co.          417       5,573        7.5%  Rural                 6        14.4
Iowa         Benton Co.         1,550      25,756          6%  Urban                26        16.8
Iowa         Black Hawk        14,372     130,081         11%  Urban               151        10.5
              Co.
Iowa         Boone Co.          1,493      26,570        5.6%  Urban                20        13.4
Iowa         Bremer Co.           983      25,260        3.9%  Urban                24        24.4
Iowa         Buchanan Co.       1,188      20,700        5.7%  Rural                20        16.8
Iowa         Buena Vista        1,600      20,651        7.7%  Rural                27        16.9
              Co.
Iowa         Butler Co.           822      14,275        5.8%  Rural                18        21.9
Iowa         Calhoun Co.          684       9,725          7%  Rural                17        24.9
Iowa         Carroll Co.        1,266      20,565        6.2%  Rural                21        16.6
Iowa         Cass Co.           1,280      13,125        9.8%  Rural                15        11.7
Iowa         Cedar Co.            775      18,331        4.2%  Rural                19        24.5
Iowa         Cerro Gordo        3,788      42,408        8.9%  Rural                48        12.7
              Co.
Iowa         Cherokee Co.         640      11,492        5.6%  Rural                 9        14.1
Iowa         Chickasaw            522      11,755        4.4%  Rural                13        24.9
              Co.
Iowa         Clarke Co.           838       9,676        8.7%  Rural                14        16.7
Iowa         Clay Co.           1,220      16,506        7.4%  Rural                16        13.1
Iowa         Clayton Co.          890      17,058        5.2%  Rural                22        24.7
Iowa         Clinton Co.        5,556      46,268         12%  Rural                46         8.3
Iowa         Crawford Co.       1,184      16,135        7.3%  Rural                14        11.8
Iowa         Dallas Co.         2,899     108,164        2.7%  Urban                64        22.1
Iowa         Davis Co.            491       9,158        5.4%  Rural                 8        16.3
Iowa         Decatur Co.          771       7,822        9.9%  Rural                 9        11.7
Iowa         Delaware Co.         821      17,590        4.7%  Rural                13        15.8
Iowa         Des Moines         5,518      38,258       14.4%  Rural                43         7.8
              Co.
Iowa         Dickinson            917      18,052        5.1%  Rural                20        21.8
              Co.
Iowa         Dubuque Co.        7,531      98,748        7.6%  Urban                85        11.3
Iowa         Emmet Co.            702       9,197        7.6%  Rural                11        15.7
Iowa         Fayette Co.        1,966      19,292       10.2%  Rural                17         8.6
Iowa         Floyd Co.          1,461      15,316        9.5%  Rural                16        11.0
Iowa         Franklin Co.         729       9,918        7.4%  Rural                13        17.8
Iowa         Fremont Co.          653       6,465       10.1%  Rural                 8        12.3
Iowa         Greene Co.           854       8,707        9.8%  Rural                11        12.9
Iowa         Grundy Co.           512      12,379        4.1%  Urban                12        23.4
Iowa         Guthrie Co.          742      10,687        6.9%  Urban                15        20.2
Iowa         Hamilton Co.         864      14,848        5.8%  Rural                21        24.3
Iowa         Hancock Co.          574      10,664        5.4%  Rural                10        17.4
Iowa         Hardin Co.         1,365      16,677        8.2%  Rural                24        17.6
Iowa         Harrison Co.       1,089      14,635        7.4%  Urban                15        13.8
Iowa         Henry Co.          1,906      20,253        9.4%  Rural                19        10.0
Iowa         Howard Co.           511       9,502        5.4%  Rural                13        25.4
Iowa         Humboldt Co.         600       9,545        6.3%  Rural                10        16.7
Iowa         Ida Co.              495       6,900        7.2%  Rural                13        26.3
Iowa         Iowa Co.             721      16,491        4.4%  Rural                16        22.2
Iowa         Jackson Co.        1,530      19,350        7.9%  Rural                21        13.7
Iowa         Jasper Co.         2,906      37,966        7.7%  Urban                34        11.7
Iowa         Jefferson          1,533      15,632        9.8%  Rural                16        10.4
              Co.
Iowa         Johnson Co.        9,366     156,815          6%  Urban               107        11.4
Iowa         Jones Co.          1,274      20,960        6.1%  Urban                19        14.9
Iowa         Keokuk Co.           930       9,895        9.4%  Rural                10        10.8
Iowa         Kossuth Co.          875      14,462        6.1%  Rural                16        18.3
Iowa         Lee Co.            4,345      32,793       13.2%  Rural                34         7.8
Iowa         Linn Co.          20,355     228,947        8.9%  Urban               187         9.2
Iowa         Louisa Co.           730      10,657        6.8%  Rural                16        21.9
Iowa         Lucas Co.            821       8,720        9.4%  Rural                 9        11.0
Iowa         Lyon Co.             453      12,185        3.7%  Rural                10        22.1
Iowa         Madison Co.          666      17,050        3.9%  Urban                14        21.0
Iowa         Mahaska Co.        1,939      21,959        8.8%  Rural                20        10.3
Iowa         Marion Co.         1,772      33,582        5.3%  Rural                32        18.1
Iowa         Marshall Co.       3,775      39,940        9.5%  Rural                47        12.5
Iowa         Mills Co.            923      14,572        6.3%  Urban                11        11.9
Iowa         Mitchell Co.         487      10,557        4.6%  Rural                12        24.6
Iowa         Monona Co.           790       8,515        9.3%  Rural                11        13.9
Iowa         Monroe Co.           596       7,524        7.9%  Rural                 9        15.1
Iowa         Montgomery         1,151      10,210       11.3%  Rural                11         9.6
              Co.
Iowa         Muscatine          4,405      42,501       10.4%  Rural                42         9.5
              Co.
Iowa         O'Brien Co.          694      14,107        4.9%  Rural                19        27.4
Iowa         Osceola Co.          355       6,073        5.8%  Rural                 7        19.7
Iowa         Page Co.           1,338      15,169        8.8%  Rural                15        11.2
Iowa         Palo Alto            513       8,772        5.8%  Rural                 9        17.5
              Co.
Iowa         Plymouth Co.       1,049      25,714        4.1%  Rural                20        19.1
Iowa         Pocahontas           542       7,090        7.6%  Rural                 8        14.8
              Co.
Iowa         Polk Co.          50,523     501,261       10.1%  Urban               449         8.9
Iowa         Pottawattami      10,860      93,180       11.7%  Urban                77         7.1
              e Co.
Iowa         Poweshiek            999      18,521        5.4%  Rural                24        24.0
              Co.
Iowa         Ringgold Co.         427       4,692        9.1%  Rural                 5        11.7
Iowa         Sac Co.              520       9,680        5.4%  Rural                12        23.1
Iowa         Scott Co.         20,481     173,985       11.8%  Urban               172         8.4
Iowa         Shelby Co.           811      11,745        6.9%  Rural                12        14.8
Iowa         Sioux Co.            974      36,231        2.7%  Rural                28        28.7
Iowa         Story Co.          3,847      99,995        3.8%  Urban                66        17.2
Iowa         Tama Co.           1,211      16,910        7.2%  Rural                23        19.0
Iowa         Taylor Co.           538       5,870        9.2%  Rural                 7        13.0
Iowa         Union Co.          1,301      11,922       10.9%  Rural                12         9.2
Iowa         Van Buren            615       7,250        8.5%  Rural                10        16.3
              Co.
Iowa         Wapello Co.        4,713      35,080       13.4%  Rural                41         8.7
Iowa         Warren Co.         2,022      54,325        3.7%  Urban                44        21.8
Iowa         Washington         1,398      22,541        6.2%  Urban                26        18.6
              Co.
Iowa         Wayne Co.            522       6,472        8.1%  Rural                 7        13.4
Iowa         Webster Co.        4,316      36,703       11.8%  Rural                36         8.3
Iowa         Winnebago            648      10,651        6.1%  Rural                12        18.5
              Co.
Iowa         Winneshiek           697      19,915        3.5%  Rural                16        23.0
              Co.
Iowa         Woodbury Co.      11,932     105,674       11.3%  Urban                98         8.2
Iowa         Worth Co.            493       7,316        6.7%  Rural                 6        12.2
Iowa         Wright Co.           929      12,740        7.3%  Rural                20        21.5
Kansas       Allen Co.          1,402      12,479       11.2%  Rural                18        12.8
Kansas       Anderson Co.         460       7,787        5.9%  Rural                 8        17.4
Kansas       Atchison Co.       1,334      16,091        8.3%  Rural                 9         6.7
Kansas       Barber Co.           193       4,125        4.7%  Rural                 7        36.3
Kansas       Barton Co.         2,147      25,055        8.6%  Rural                25        11.6
Kansas       Bourbon Co.        1,838      14,454       12.7%  Rural                17         9.2
Kansas       Brown Co.            799       9,371        8.5%  Rural                11        13.8
Kansas       Butler Co.         3,817      68,264        5.6%  Urban                45        11.8
Kansas       Chase Co.            128       2,559          5%  Rural                 2        15.6
Kansas       Chautauqua           368       3,387       10.9%  Rural                 3         8.2
              Co.
Kansas       Cherokee Co.       2,053      19,043       10.8%  Urban                20         9.7
Kansas       Cheyenne Co.          97       2,613        3.7%  Rural                 3        30.9
Kansas       Clark Co.             88       1,947        4.5%  Rural                 2        22.7
Kansas       Clay Co.             372       8,048        4.6%  Rural                 9        24.2
Kansas       Cloud Co.            639       8,937        7.2%  Rural                11        17.2
Kansas       Coffey Co.           598       8,261        7.2%  Rural                 9        15.1
Kansas       Comanche Co.          63       1,695        3.7%  Rural                 4        63.5
Kansas       Cowley Co.         3,972      34,457       11.5%  Rural                30         7.6
Kansas       Crawford Co.       4,028      39,180       10.3%  Rural                40         9.9
Kansas       Decatur Co.          156       2,681        5.8%  Rural                 3        19.2
Kansas       Dickinson          1,066      18,344        5.8%  Rural                22        20.6
              Co.
Kansas       Doniphan Co.         431       7,488        5.8%  Urban                 7        16.2
Kansas       Douglas Co.        4,640     120,053        3.9%  Urban                64        13.8
Kansas       Edwards Co.          207       2,747        7.5%  Rural                 3        14.5
Kansas       Elk Co.              214       2,448        8.7%  Rural                 3        14.0
Kansas       Ellis Co.          1,111      28,868        3.8%  Rural                20        18.0
Kansas       Ellsworth            280       6,398        4.4%  Rural                 5        17.9
              Co.
Kansas       Finney Co.         2,550      37,665        6.8%  Rural                39        15.3
Kansas       Ford Co.           1,885      33,842        5.6%  Rural                24        12.7
Kansas       Franklin Co.       1,656      25,994        6.4%  Rural                25        15.1
Kansas       Geary Co.          2,639      35,525        7.4%  Urban                20         7.6
Kansas       Gove Co.              68       2,741        2.5%  Rural                 4        58.8
Kansas       Graham Co.           118       2,395        4.9%  Rural                 3        25.4
Kansas       Grant Co.            419       7,230        5.8%  Rural                 7        16.7
Kansas       Gray Co.             123       5,707        2.2%  Rural                 5        40.7
Kansas       Greeley Co.           45       1,230        3.7%  Rural                 1        22.2
Kansas       Greenwood            570       5,917        9.6%  Rural                11        19.3
              Co.
Kansas       Hamilton Co.         111       2,445        4.5%  Rural                 4        36.0
Kansas       Harper Co.           407       5,374        7.6%  Rural                 9        22.1
Kansas       Harvey Co.         2,132      33,710        6.3%  Urban                25        11.7
Kansas       Haskell Co.          149       3,573        4.2%  Rural                 5        33.6
Kansas       Hodgeman Co.          68       1,707          4%  Rural                 4        58.8
Kansas       Jackson Co.          607      13,285        4.6%  Urban                 9        14.8
Kansas       Jefferson            664      18,344        3.6%  Urban                17        25.6
              Co.
Kansas       Jewell Co.           157       2,906        5.4%  Rural                 2        12.7
Kansas       Johnson Co.       11,650     619,311        1.9%  Urban               273        23.4
Kansas       Kearny Co.           131       3,854        3.4%  Rural                 9        68.7
Kansas       Kingman Co.          379       7,184        5.3%  Rural                 5        13.2
Kansas       Kiowa Co.            125       2,410        5.2%  Rural                 3        24.0
Kansas       Labette Co.        2,269      19,750       11.5%  Rural                23        10.1
Kansas       Lane Co.              71       1,552        4.6%  Rural                 3        42.3
Kansas       Leavenworth        3,617      82,852        4.4%  Urban                40        11.1
              Co.
Kansas       Lincoln Co.          144       2,909          5%  Rural                 2        13.9
Kansas       Linn Co.             814       9,771        8.3%  Urban                10        12.3
Kansas       Logan Co.            119       2,706        4.4%  Rural                 2        16.8
Kansas       Lyon Co.           2,132      31,994        6.7%  Rural                29        13.6
Kansas       McPherson          1,153      30,106        3.8%  Rural                28        24.3
              Co.
Kansas       Marion Co.           528      11,800        4.5%  Rural                10        18.9
Kansas       Marshall Co.         458      10,007        4.6%  Rural                10        21.8
Kansas       Meade Co.            199       3,905        5.1%  Rural                 8        40.2
Kansas       Miami Co.          1,503      34,759        4.3%  Urban                22        14.6
Kansas       Mitchell Co.         268       5,774        4.6%  Rural                 7        26.1
Kansas       Montgomery         3,696      30,905         12%  Rural                34         9.2
              Co.
Kansas       Morris Co.           291       5,376        5.4%  Rural                 3        10.3
Kansas       Morton Co.           128       2,600        4.9%  Rural                 3        23.4
Kansas       Nemaha Co.           350      10,151        3.4%  Rural                 8        22.9
Kansas       Neosho Co.         1,573      15,583       10.1%  Rural                17        10.8
Kansas       Ness Co.              81       2,671          3%  Rural                 5        61.7
Kansas       Norton Co.           271       5,322        5.1%  Rural                 6        22.1
Kansas       Osage Co.          1,008      15,690        6.4%  Urban                17        16.9
Kansas       Osborne Co.          213       3,488        6.1%  Rural                 5        23.5
Kansas       Ottawa Co.           239       5,833        4.1%  Rural                 3        12.6
Kansas       Pawnee Co.           410       6,153        6.7%  Rural                 4         9.8
Kansas       Phillips Co.         198       4,792        4.1%  Rural                 6        30.3
Kansas       Pottawatomie         834      26,331        3.2%  Urban                12        14.4
              Co.
Kansas       Pratt Co.            361       9,080          4%  Rural                 8        22.2
Kansas       Rawlins Co.          100       2,531          4%  Rural                 4        40.0
Kansas       Reno Co.           4,790      61,514        7.8%  Rural                43         9.0
Kansas       Republic Co.         176       4,638        3.8%  Rural                 5        28.4
Kansas       Rice Co.             649       9,387        6.9%  Rural                 9        13.9
Kansas       Riley Co.          2,751      71,618        3.8%  Urban                32        11.6
Kansas       Rooks Co.            207       4,798        4.3%  Rural                 6        29.0
Kansas       Rush Co.             182       2,949        6.2%  Rural                 4        22.0
Kansas       Russell Co.          487       6,726        7.2%  Rural                 5        10.3
Kansas       Saline Co.         4,163      53,461        7.8%  Rural                47        11.3
Kansas       Scott Co.            160       5,010        3.2%  Rural                 5        31.3
Kansas       Sedgwick Co.      51,093     525,488        9.7%  Urban               367         7.2
Kansas       Seward Co.         1,294      21,326        6.1%  Rural                24        18.5
Kansas       Shawnee Co.       16,877     177,454        9.5%  Urban               126         7.5
Kansas       Sheridan Co.         100       2,428        4.1%  Rural                 2        20.0
Kansas       Sherman Co.          381       5,857        6.5%  Rural                 5        13.1
Kansas       Smith Co.            160       3,553        4.5%  Rural                 6        37.5
Kansas       Stafford Co.         252       3,979        6.3%  Rural                 4        15.9
Kansas       Stanton Co.           51       1,977        2.6%  Rural                 2        39.2
Kansas       Stevens Co.          191       5,151        3.7%  Rural                 6        31.4
Kansas       Sumner Co.         1,791      22,384          8%  Urban                20        11.2
Kansas       Thomas Co.           229       7,882        2.9%  Rural                 9        39.3
Kansas       Trego Co.             85       2,757        3.1%  Rural                 6        70.6
Kansas       Wabaunsee            254       7,002        3.6%  Urban                 5        19.7
              Co.
Kansas       Wallace Co.           73       1,491        4.9%  Rural                 2        27.4
Kansas       Washington           183       5,495        3.3%  Rural                 7        38.3
              Co.
Kansas       Wichita Co.           86       2,061        4.2%  Rural                 3        34.9
Kansas       Wilson Co.           846       8,577        9.9%  Rural                11        13.0
Kansas       Woodson Co.          208       3,122        6.7%  Rural                 6        28.8
Kansas       Wyandotte         18,267     165,719         11%  Urban               139         7.6
              Co.
Kentucky     Adair Co.          3,405      19,089       17.8%  Rural                25         7.3
Kentucky     Allen Co.          2,567      21,246       12.1%  Urban                17         6.6
Kentucky     Anderson Co.       1,582      24,279        6.5%  Rural                18        11.4
Kentucky     Ballard Co.          791       7,633       10.4%  Urban                12        15.2
Kentucky     Barren Co.         6,325      44,851       14.1%  Rural                60         9.5
Kentucky     Bath Co.           2,332      12,818       18.2%  Rural                15         6.4
Kentucky     Bell Co.           7,559      23,514       32.1%  Rural                36         4.8  8Higher-
                                                                                                     risk0
Kentucky     Boone Co.          6,454     139,377        4.6%  Urban                91        14.1
Kentucky     Bourbon Co.        2,743      20,144       13.6%  Urban                22         8.0
Kentucky     Boyd Co.           6,871      48,048       14.3%  Urban                52         7.6
Kentucky     Boyle Co.          3,293      30,854       10.7%  Rural                34        10.3
Kentucky     Bracken Co.        1,096       8,436         13%  Urban                 8         7.3
Kentucky     Breathitt          3,927      13,353       29.4%  Rural                21         5.3  8Higher-
              Co.                                                                                    risk0
Kentucky     Breckinridge       2,730      20,942         13%  Rural                27         9.9
              Co.
Kentucky     Bullitt Co.        5,643      83,901        6.7%  Urban                63        11.2
Kentucky     Butler Co.         1,885      12,371       15.2%  Urban                14         7.4
Kentucky     Caldwell Co.       1,633      12,601         13%  Rural                15         9.2
Kentucky     Calloway Co.       3,026      38,119        7.9%  Rural                28         9.3
Kentucky     Campbell Co.       5,543      93,305        5.9%  Urban                66        11.9
Kentucky     Carlisle Co.         582       4,723       12.3%  Urban                 6        10.3
Kentucky     Carroll Co.        1,559      10,935       14.3%  Rural                19        12.2
Kentucky     Carter Co.         4,661      26,300       17.7%  Urban                43         9.2
Kentucky     Casey Co.          2,833      15,893       17.8%  Rural                26         9.2
Kentucky     Christian          9,038      72,213       12.5%  Urban                70         7.7
              Co.
Kentucky     Clark Co.          4,495      37,012       12.1%  Urban                33         7.3
Kentucky     Clay Co.           6,229      19,884       31.3%  Rural                33         5.3  8Higher-
                                                                                                     risk0
Kentucky     Clinton Co.        2,338       9,140       25.6%  Rural                12         5.1  8Higher-
                                                                                                     risk0
Kentucky     Crittenden           896       8,971         10%  Rural                 9        10.0
              Co.
Kentucky     Cumberland         1,431       5,950       24.1%  Rural                14         9.8
              Co.
Kentucky     Daviess Co.       10,413     103,373       10.1%  Urban                94         9.0
Kentucky     Edmonson Co.       1,439      12,300       11.7%  Urban                11         7.6
Kentucky     Elliott Co.        1,438       7,301       19.7%  Rural                 8         5.6
Kentucky     Estill Co.         2,857      13,994       20.4%  Rural                17         6.0
Kentucky     Fayette Co.       27,416     321,505        8.5%  Urban               253         9.2
Kentucky     Fleming Co.        2,169      15,257       14.2%  Rural                22        10.1
Kentucky     Floyd Co.          9,101      35,519       25.6%  Rural                63         6.9  8Higher-
                                                                                                     risk0
Kentucky     Franklin Co.       5,017      51,617        9.7%  Rural                51        10.2
Kentucky     Fulton Co.         1,331       6,389       20.8%  Rural                10         7.5
Kentucky     Gallatin Co.         738       8,786        8.4%  Urban                 9        12.2
Kentucky     Garrard Co.        2,026      17,580       11.5%  Rural                15         7.4
Kentucky     Grant Co.          2,972      25,466       11.7%  Urban                28         9.4
Kentucky     Graves Co.         4,557      36,532       12.5%  Rural                46        10.1
Kentucky     Grayson Co.        3,773      26,623       14.2%  Rural                36         9.5
Kentucky     Green Co.          1,610      11,379       14.1%  Rural                13         8.1
Kentucky     Greenup Co.        4,155      35,384       11.7%  Urban                41         9.9
Kentucky     Hancock Co.          865       9,043        9.6%  Rural                 6         6.9
Kentucky     Hardin Co.         9,780     111,776        8.7%  Urban               102        10.4
Kentucky     Harlan Co.         8,031      25,610       31.4%  Rural                42         5.2  8Higher-
                                                                                                     risk0
Kentucky     Harrison Co.       2,191      19,085       11.5%  Rural                24        11.0
Kentucky     Hart Co.           2,867      19,592       14.6%  Rural                29        10.1
Kentucky     Henderson          5,122      44,017       11.6%  Rural                45         8.8
              Co.
Kentucky     Henry Co.          1,453      15,730        9.2%  Urban                22        15.1
Kentucky     Hickman Co.          652       4,422       14.7%  Rural                 6         9.2
Kentucky     Hopkins Co.        6,257      44,879       13.9%  Rural                52         8.3
Kentucky     Jackson Co.        3,431      12,989       26.4%  Rural                19         5.5  8Higher-
                                                                                                     risk0
Kentucky     Jefferson         84,878     777,329       10.9%  Urban               635         7.5
              Co.
Kentucky     Jessamine          5,376      54,333        9.9%  Urban                43         8.0
              Co.
Kentucky     Johnson Co.        4,793      22,234       21.6%  Rural                34         7.1
Kentucky     Kenton Co.        12,980     170,413        7.6%  Urban               120         9.2
Kentucky     Knott Co.          3,846      13,848       27.8%  Rural                20         5.2  8Higher-
                                                                                                     risk0
Kentucky     Knox Co.           9,441      29,734       31.8%  Rural                43         4.6  8Higher-
                                                                                                     risk0
Kentucky     Larue Co.          1,740      15,165       11.5%  Urban                17         9.8
Kentucky     Laurel Co.        11,592      62,891       18.4%  Rural                93         8.0
Kentucky     Lawrence Co.       3,492      16,037       21.8%  Urban                24         6.9
Kentucky     Lee Co.            1,888       7,259         26%  Rural                14         7.4  8Higher-
                                                                                                     risk0
Kentucky     Leslie Co.         2,603      10,044       25.9%  Rural                13         5.0  8Higher-
                                                                                                     risk0
Kentucky     Letcher Co.        5,032      20,792       24.2%  Rural                31         6.2  8Higher-
                                                                                                     risk0
Kentucky     Lewis Co.          2,643      12,924       20.5%  Rural                16         6.1
Kentucky     Lincoln Co.        3,824      24,392       15.7%  Rural                38         9.9
Kentucky     Livingston           950       8,960       10.6%  Urban                16        16.8
              Co.
Kentucky     Logan Co.          3,359      27,855       12.1%  Rural                31         9.2
Kentucky     Lyon Co.             506       9,119        5.5%  Rural                 7        13.8
Kentucky     McCracken          7,877      67,333       11.7%  Urban                71         9.0
              Co.
Kentucky     McCreary Co.       4,481      16,788       26.7%  Rural                27         6.0  8Higher-
                                                                                                     risk0
Kentucky     McLean Co.           891       9,112        9.8%  Urban                12        13.5
Kentucky     Madison Co.        9,764      95,219       10.3%  Rural                89         9.1
Kentucky     Magoffin Co.       3,459      11,325       30.5%  Rural                17         4.9  8Higher-
                                                                                                     risk0
Kentucky     Marion Co.         2,693      19,731       13.6%  Rural                22         8.2
Kentucky     Marshall Co.       2,800      31,766        8.8%  Rural                34        12.1
Kentucky     Martin Co.         2,650      11,095       23.9%  Rural                28        10.6
Kentucky     Mason Co.          2,870      16,880         17%  Rural                23         8.0
Kentucky     Meade Co.          2,453      30,028        8.2%  Urban                24         9.8
Kentucky     Menifee Co.        1,362       6,215       21.9%  Rural                13         9.5
Kentucky     Mercer Co.         2,182      22,927        9.5%  Rural                20         9.2
Kentucky     Metcalfe Co.       1,996      10,401       19.2%  Rural                11         5.5
Kentucky     Monroe Co.         1,903      11,328       16.8%  Rural                14         7.4
Kentucky     Montgomery         4,022      28,348       14.2%  Rural                44        10.9
              Co.
Kentucky     Morgan Co.         2,336      14,156       16.5%  Rural                23         9.8
Kentucky     Muhlenberg         4,410      30,684       14.4%  Rural                35         7.9
              Co.
Kentucky     Nelson Co.         3,600      47,429        7.6%  Urban                46        12.8
Kentucky     Nicholas Co.       1,154       7,776       14.8%  Rural                11         9.5
Kentucky     Ohio Co.           3,151      23,549       13.4%  Rural                29         9.2
Kentucky     Oldham Co.         1,428      69,506        2.1%  Urban                26        18.2
Kentucky     Owen Co.           1,287      11,292       11.4%  Rural                15        11.7
Kentucky     Owsley Co.         1,555       3,941       39.5%  Rural                10         6.4  8Higher-
                                                                                                     risk0
Kentucky     Pendleton          1,579      14,688       10.8%  Urban                14         8.9
              Co.
Kentucky     Perry Co.          7,028      27,378       25.7%  Rural                43         6.1  8Higher-
                                                                                                     risk0
Kentucky     Pike Co.          11,736      56,328       20.8%  Rural                82         7.0
Kentucky     Powell Co.         2,618      13,067         20%  Rural                20         7.6
Kentucky     Pulaski Co.       10,820      65,776       16.4%  Rural                94         8.7
Kentucky     Robertson            342       2,254       15.2%  Rural                 2         5.8
              Co.
Kentucky     Rockcastle         3,391      16,213       20.9%  Rural                23         6.8
              Co.
Kentucky     Rowan Co.          3,677      24,428       15.1%  Rural                38        10.3
Kentucky     Russell Co.        3,334      18,177       18.3%  Rural                30         9.0
Kentucky     Scott Co.          4,150      59,413          7%  Urban                33         8.0
Kentucky     Shelby Co.         2,763      48,884        5.7%  Urban                36        13.0
Kentucky     Simpson Co.        2,047      19,926       10.3%  Rural                21        10.3
Kentucky     Spencer Co.          973      20,204        4.8%  Urban                12        12.3
Kentucky     Taylor Co.         3,958      26,421         15%  Rural                36         9.1
Kentucky     Todd Co.           1,421      12,431       11.4%  Rural                12         8.4
Kentucky     Trigg Co.          1,272      14,338        8.9%  Urban                18        14.2
Kentucky     Trimble Co.          682       8,525          8%  Rural                 8        11.7
Kentucky     Union Co.          1,559      13,107       11.9%  Rural                20        12.8
Kentucky     Warren Co.        15,792     140,503       11.2%  Urban               132         8.4
Kentucky     Washington         2,100      12,062       17.4%  Rural                14         6.7
              Co.
Kentucky     Wayne Co.          4,800      19,663       24.4%  Rural                27         5.6  8Higher-
                                                                                                     risk0
Kentucky     Webster Co.        1,518      12,724       11.9%  Rural                20        13.2
Kentucky     Whitley Co.        8,447      36,950       22.9%  Rural                55         6.5  8Higher-
                                                                                                     risk0
Kentucky     Wolfe Co.          1,976       6,415       30.8%  Rural                14         7.1  8Higher-
                                                                                                     risk0
Kentucky     Woodford Co.       1,728      27,150        6.4%  Urban                22        12.7
Louisiana    Acadia            14,763      56,812         26%  Urban                73         4.9  8Higher-
              Parish                                                                                 risk0
Louisiana    Allen Parish       4,415      22,297       19.8%  Rural                24         5.4
Louisiana    Ascension         14,200     130,505       10.9%  Urban               110         7.7
              Parish
Louisiana    Assumption         4,192      20,482       20.5%  Urban                18         4.3
              Parish
Louisiana    Avoyelles         11,021      38,733       28.5%  Rural                58         5.3  8Higher-
              Parish                                                                                 risk0
Louisiana    Beauregard         5,723      36,587       15.6%  Rural                33         5.8
              Parish
Louisiana    Bienville          3,479      12,627       27.6%  Rural                20         5.7  8Higher-
              Parish                                                                                 risk0
Louisiana    Bossier           17,633     129,324       13.6%  Urban               101         5.7
              Parish
Louisiana    Caddo Parish      55,989     229,109       24.4%  Urban               219         3.9  8Higher-
                                                                                                     risk0
Louisiana    Calcasieu         31,316     202,664       15.5%  Urban               232         7.4
              Parish
Louisiana    Caldwell           2,268       9,508       23.9%  Rural                11         4.9  8Higher-
              Parish                                                                                 risk0
Louisiana    Cameron              570       4,907       11.6%  Urban                10        17.5
              Parish
Louisiana    Catahoula          2,449       8,625       28.4%  Rural                11         4.5  8Higher-
              Parish                                                                                 risk0
Louisiana    Claiborne          3,619      13,825       26.2%  Rural                16         4.4  8Higher-
              Parish                                                                                 risk0
Louisiana    Concordia          5,698      18,138       31.4%  Rural                25         4.4  8Higher-
              Parish                                                                                 risk0
Louisiana    DeSoto             5,757      26,883       21.4%  Urban                23         4.0
              Parish
Louisiana    East Baton        84,434     451,122       18.7%  Urban               409         4.8
              Rouge
              Parish
Louisiana    East Carroll       2,318       6,966       33.3%  Rural                 7         3.0  8Higher-
              Parish                                                                                 risk0
Louisiana    East               3,005      19,180       15.7%  Urban                15         5.0
              Feliciana
              Parish
Louisiana    Evangeline         9,270      32,084       28.9%  Rural                46         5.0  8Higher-
              Parish                                                                                 risk0
Louisiana    Franklin           5,908      19,341       30.5%  Rural                32         5.4  8Higher-
              Parish                                                                                 risk0
Louisiana    Grant Parish       3,980      22,022       18.1%  Urban                17         4.3
Louisiana    Iberia            18,699      68,344       27.4%  Rural                83         4.4  8Higher-
              Parish                                                                                 risk0
Louisiana    Iberville          7,496      29,696       25.2%  Urban                26         3.5  8Higher-
              Parish                                                                                 risk0
Louisiana    Jackson            3,042      14,859       20.5%  Rural                15         4.9
              Parish
Louisiana    Jefferson         66,812     427,739       15.6%  Urban               335         5.0
              Parish
Louisiana    Jefferson          6,137      31,971       19.2%  Urban                30         4.9
              Davis
              Parish
Louisiana    Lafayette         40,937     248,145       16.5%  Urban               251         6.1
              Parish
Louisiana    Lafourche         15,417      95,717       16.1%  Urban                59         3.8
              Parish
Louisiana    LaSalle            2,408      14,799       16.3%  Rural                16         6.6
              Parish
Louisiana    Lincoln            7,822      48,056       16.3%  Rural                46         5.9
              Parish
Louisiana    Livingston        20,068     148,131       13.5%  Urban               125         6.2
              Parish
Louisiana    Madison            3,612       9,492       38.1%  Rural                12         3.3  8Higher-
              Parish                                                                                 risk0
Louisiana    Morehouse          7,677      24,435       31.4%  Urban                30         3.9  8Higher-
              Parish                                                                                 risk0
Louisiana    Natchitoches       8,793      36,711         24%  Rural                33         3.8  8Higher-
              Parish                                                                                 risk0
Louisiana    Orleans           82,225     370,473       22.2%  Urban               274         3.3
              Parish
Louisiana    Ouachita          37,296     157,812       23.6%  Urban               168         4.5  8Higher-
              Parish                                                                                 risk0
Louisiana    Plaquemines        2,924      22,603       12.9%  Urban                19         6.5
              Parish
Louisiana    Pointe             4,178      20,221       20.7%  Urban                24         5.7
              Coupee
              Parish
Louisiana    Rapides           28,060     126,977       22.1%  Urban               124         4.4
              Parish
Louisiana    Red River          2,335       7,487       31.2%  Rural                 8         3.4  8Higher-
              Parish                                                                                 risk0
Louisiana    Richland           5,254      19,828       26.5%  Urban                28         5.3  8Higher-
              Parish                                                                                 risk0
Louisiana    Sabine             5,098      21,984       23.2%  Rural                21         4.1  8Higher-
              Parish                                                                                 risk0
Louisiana    St. Bernard        9,934      44,474       22.3%  Urban                57         5.7
              Parish
Louisiana    St. Charles        6,116      51,038         12%  Urban                46         7.5
              Parish
Louisiana    St. Helena         3,493      10,814       32.3%  Urban                18         5.2  8Higher-
              Parish                                                                                 risk0
Louisiana    St. James          3,771      19,397       19.4%  Urban                16         4.2
              Parish
Louisiana    St. John the       8,849      39,938       22.2%  Urban                47         5.3
              Baptist
              Parish
Louisiana    St. Landry        24,798      81,642       30.4%  Rural               107         4.3  8Higher-
              Parish                                                                                 risk0
Louisiana    St. Martin        11,891      51,260       23.2%  Urban                59         5.0  8Higher-
              Parish                                                                                 risk0
Louisiana    St. Mary          12,773      47,816       26.7%  Rural                54         4.2  8Higher-
              Parish                                                                                 risk0
Louisiana    St. Tammany       26,907     273,494        9.8%  Urban               198         7.4
              Parish
Louisiana    Tangipahoa        29,831     136,734       21.8%  Urban               163         5.5
              Parish
Louisiana    Tensas             1,241       3,848       32.3%  Rural                10         8.1  8Higher-
              Parish                                                                                 risk0
Louisiana    Terrebonne        21,508     104,642       20.6%  Urban               109         5.1
              Parish
Louisiana    Union Parish       4,416      20,691       21.3%  Urban                21         4.8
Louisiana    Vermilion         12,388      56,958       21.7%  Urban                58         4.7
              Parish
Louisiana    Vernon             7,009      46,861         15%  Rural                34         4.9
              Parish
Louisiana    Washington        12,648      45,002       28.1%  Rural                63         5.0  8Higher-
              Parish                                                                                 risk0
Louisiana    Webster            8,367      35,635       23.5%  Rural                53         6.3  8Higher-
              Parish                                                                                 risk0
Louisiana    West Baton         4,541      28,045       16.2%  Urban                31         6.8
              Rouge
              Parish
Louisiana    West Carroll       2,429       9,482       25.6%  Rural                17         7.0  8Higher-
              Parish                                                                                 risk0
Louisiana    West               1,428      15,390        9.3%  Urban                 7         4.9
              Feliciana
              Parish
Louisiana    Winn Parish        2,877      13,305       21.6%  Rural                11         3.8
Maine        Androscoggin      19,019     113,454       16.8%  Urban               137         7.2
              Co.
Maine        Aroostook         12,981      67,250       19.3%  Rural                88         6.8
              Co.
Maine        Cumberland        23,730     309,309        7.7%  Urban               251        10.6
              Co.
Maine        Franklin Co.       4,382      30,604       14.3%  Rural                40         9.1
Maine        Hancock Co.        5,128      56,677          9%  Rural                59        11.5
Maine        Kennebec Co.      17,061     127,143       13.4%  Rural               127         7.4
Maine        Knox Co.           3,852      41,251        9.3%  Rural                52        13.5
Maine        Lincoln Co.        3,319      36,263        9.2%  Rural                40        12.1
Maine        Oxford Co.        10,006      59,539       16.8%  Rural                60         6.0
Maine        Penobscot         22,312     154,817       14.4%  Urban               167         7.5
              Co.
Maine        Piscataquis        3,059      17,383       17.6%  Rural                26         8.5
              Co.
Maine        Sagadahoc          2,971      37,402        7.9%  Urban                36        12.1
              Co.
Maine        Somerset Co.      10,017      51,027       19.6%  Rural                62         6.2
Maine        Waldo Co.          5,689      40,212       14.1%  Rural                50         8.8
Maine        Washington         6,394      31,507       20.3%  Rural                56         8.8
              Co.
Maine        York Co.          17,286     217,084          8%  Urban               154         8.9
Maryland     Allegany Co.      15,523      67,241       23.1%  Rural                60         3.9  8Higher-
                                                                                                     risk0
Maryland     Anne Arundel      46,479     598,751        7.8%  Urban               318         6.8
              Co.
Maryland     Baltimore         92,340     848,873       10.9%  Urban               521         5.6
              Co.
Maryland     Calvert Co.        7,348      94,652        7.8%  Urban                50         6.8
Maryland     Caroline Co.       6,262      33,539       18.7%  Rural                35         5.6
Maryland     Carroll Co.        9,482     175,569        5.4%  Urban                90         9.5
Maryland     Cecil Co.         13,732     104,939       13.1%  Urban                81         5.9
Maryland     Charles Co.       15,466     170,376        9.1%  Urban                99         6.4
Maryland     Dorchester         8,078      32,599       24.8%  Rural                40         5.0  8Higher-
              Co.                                                                                    risk0
Maryland     Frederick         18,013     288,316        6.2%  Urban               149         8.3
              Co.
Maryland     Garrett Co.        4,195      28,619       14.7%  Rural                43        10.3
Maryland     Harford Co.       23,317     263,908        8.8%  Urban               144         6.2
Maryland     Howard Co.        19,610     336,439        5.8%  Urban               120         6.1
Maryland     Kent Co.           3,045      19,360       15.7%  Rural                20         6.6
Maryland     Montgomery        63,042   1,061,132        5.9%  Urban               393         6.2
              Co.
Maryland     Prince           107,267     953,609       11.2%  Urban               606         5.6
              George's
              Co.
Maryland     Queen Anne's       3,087      51,803          6%  Urban                33        10.7
              Co.
Maryland     St. Mary's        11,445     115,001         10%  Urban                60         5.2
              Co.
Maryland     Somerset Co.       6,133      24,696       24.8%  Urban                26         4.2  8Higher-
                                                                                                     risk0
Maryland     Talbot Co.         4,332      37,959       11.4%  Rural                41         9.5
Maryland     Washington        23,344     155,407         15%  Urban               139         6.0
              Co.
Maryland     Wicomico Co.      19,662     104,985       18.7%  Urban               114         5.8
Maryland     Worcester          6,471      54,004         12%  Rural                59         9.1
              Co.
Maryland     Baltimore        134,790     570,663       23.6%  Urban               643         4.8  8Higher-
              city                                                                                   risk0
Massachuset  Barnstable        24,804     232,571       10.7%  Urban               210         8.5
 ts           Co.
Massachuset  Berkshire         25,049     129,551       19.3%  Urban               131         5.2
 ts           Co.
Massachuset  Bristol Co.      123,302     581,201       21.2%  Urban               550         4.5
 ts
Massachuset  Dukes Co.          1,012      21,033        4.8%  Rural                12        11.9
 ts
Massachuset  Essex Co.        132,865     810,039       16.4%  Urban               591         4.4
 ts
Massachuset  Franklin Co.      12,882      71,050       18.1%  Rural               107         8.3
 ts
Massachuset  Hampden Co.      151,728     461,440       32.9%  Urban               530         3.5  8Higher-
 ts                                                                                                  risk0
Massachuset  Hampshire         18,104     165,397       10.9%  Urban               154         8.5
 ts           Co.
Massachuset  Middlesex        140,921   1,629,805        8.6%  Urban               976         6.9
 ts           Co.
Massachuset  Nantucket            274      14,464        1.9%  Rural                 6        21.9
 ts           Co.
Massachuset  Norfolk Co.       60,572     728,619        8.3%  Urban               412         6.8
 ts
Massachuset  Plymouth Co.      69,041     534,297       12.9%  Urban               359         5.2
 ts
Massachuset  Suffolk Co.      182,113     777,266       23.4%  Urban               714         3.9  8Higher-
 ts                                                                                                  risk0
Massachuset  Worcester        129,904     865,735         15%  Urban               706         5.4
 ts           Co.
Michigan     Alcona Co.         1,461      10,375       14.1%  Rural                13         8.9
Michigan     Alger Co.            786       8,767          9%  Rural                12        15.3
Michigan     Allegan Co.       10,650     121,262        8.8%  Rural                93         8.7
Michigan     Alpena Co.         4,231      28,813       14.7%  Rural                30         7.1
Michigan     Antrim Co.         2,145      24,296        8.8%  Rural                23        10.7
Michigan     Arenac Co.         2,295      15,115       15.2%  Rural                26        11.3
Michigan     Baraga Co.         1,065       8,194         13%  Rural                10         9.4
Michigan     Barry Co.          5,386      63,389        8.5%  Urban                45         8.4
Michigan     Bay Co.           14,991     102,754       14.6%  Urban               126         8.4
Michigan     Benzie Co.         1,452      18,336        7.9%  Urban                19        13.1
Michigan     Berrien Co.       21,819     153,064       14.3%  Urban               156         7.1
Michigan     Branch Co.         5,547      44,612       12.4%  Rural                49         8.8
Michigan     Calhoun Co.       24,837     133,475       18.6%  Urban               177         7.1
Michigan     Cass Co.           6,026      51,409       11.7%  Urban                42         7.0
Michigan     Charlevoix         1,914      26,117        7.3%  Rural                28        14.6
              Co.
Michigan     Cheboygan          3,250      25,946       12.5%  Rural                26         8.0
              Co.
Michigan     Chippewa Co.       4,601      36,236       12.7%  Rural                40         8.7
Michigan     Clare Co.          6,847      31,321       21.9%  Rural                56         8.2
Michigan     Clinton Co.        5,091      79,652        6.4%  Urban                49         9.6
Michigan     Crawford Co.       2,143      13,431         16%  Rural                22        10.3
Michigan     Delta Co.          4,383      36,818       11.9%  Rural                36         8.2
Michigan     Dickinson          2,626      25,977       10.1%  Rural                26         9.9
              Co.
Michigan     Eaton Co.         10,399     108,962        9.5%  Urban               104        10.0
Michigan     Emmet Co.          2,256      34,204        6.6%  Rural                36        16.0
Michigan     Genesee Co.       83,208     402,031       20.7%  Urban               471         5.7
Michigan     Gladwin Co.        3,814      25,667       14.9%  Rural                39        10.2
Michigan     Gogebic Co.        2,512      14,399       17.4%  Rural                22         8.8
Michigan     Grand              6,151      96,337        6.4%  Urban                82        13.3
              Traverse
              Co.
Michigan     Gratiot Co.        5,366      41,134         13%  Rural                41         7.6
Michigan     Hillsdale          6,213      45,714       13.6%  Rural                51         8.2
              Co.
Michigan     Houghton Co.       3,445      37,792        9.1%  Rural                46        13.4
Michigan     Huron Co.          3,627      31,150       11.6%  Rural                43        11.9
Michigan     Ingham Co.        47,773     284,761       16.8%  Urban               244         5.1
Michigan     Ionia Co.          7,159      66,774       10.7%  Urban                65         9.1
Michigan     Iosco Co.          4,568      25,460       17.9%  Rural                44         9.6
Michigan     Iron Co.           1,813      11,686       15.5%  Rural                15         8.3
Michigan     Isabella Co.       8,100      64,483       12.6%  Rural                56         6.9
Michigan     Jackson Co.       21,530     159,828       13.5%  Urban               167         7.8
Michigan     Kalamazoo         33,415     261,417       12.8%  Urban               216         6.5
              Co.
Michigan     Kalkaska Co.       2,272      18,230       12.5%  Urban                24        10.6
Michigan     Kent Co.          73,041     660,134       11.1%  Urban               565         7.7
Michigan     Keweenaw Co.         150       2,151          7%  Rural                 3        20.0
Michigan     Lake Co.           2,650      12,665       20.9%  Rural                20         7.5
Michigan     Lapeer Co.         8,047      88,701        9.1%  Urban                80         9.9
Michigan     Leelanau Co.         765      22,891        3.3%  Urban                16        20.9
Michigan     Lenawee Co.       11,023      98,284       11.2%  Rural                84         7.6
Michigan     Livingston         8,203     196,083        4.2%  Urban                92        11.2
              Co.
Michigan     Luce Co.             934       6,254       14.9%  Rural                10        10.7
Michigan     Mackinac Co.         938      10,983        8.5%  Rural                13        13.9
Michigan     Macomb Co.       112,317     875,735       12.8%  Urban               800         7.1
Michigan     Manistee Co.       3,333      25,334       13.2%  Rural                27         8.1
Michigan     Marquette          6,424      67,103        9.6%  Rural                55         8.6
              Co.
Michigan     Mason Co.          3,992      29,357       13.6%  Rural                37         9.3
Michigan     Mecosta Co.        5,428      41,424       13.1%  Rural                54         9.9
Michigan     Menominee          2,335      23,289         10%  Rural                27        11.6
              Co.
Michigan     Midland Co.        8,760      83,761       10.5%  Urban                74         8.4
Michigan     Missaukee          1,935      15,228       12.7%  Rural                21        10.9
              Co.
Michigan     Monroe Co.        15,563     155,412         10%  Urban               117         7.5
Michigan     Montcalm Co.       9,238      67,317       13.7%  Urban                87         9.4
Michigan     Montmorency        1,359       9,563       14.2%  Rural                11         8.1
              Co.
Michigan     Muskegon Co.      34,046     175,526       19.4%  Urban               187         5.5
Michigan     Newaygo Co.        8,014      50,771       15.8%  Rural                64         8.0
Michigan     Oakland Co.       92,899   1,275,098        7.3%  Urban               913         9.8
Michigan     Oceana Co.         4,377      26,964       16.2%  Rural                39         8.9
Michigan     Ogemaw Co.         3,775      20,890       18.1%  Rural                35         9.3
Michigan     Ontonagon            684       5,895       11.6%  Rural                12        17.5
              Co.
Michigan     Osceola Co.        3,623      23,257       15.6%  Rural                30         8.3
Michigan     Oscoda Co.         1,493       8,400       17.8%  Rural                12         8.0
Michigan     Otsego Co.         3,093      25,583       12.1%  Rural                40        12.9
Michigan     Ottawa Co.        17,199     300,910        5.7%  Urban               169         9.8
Michigan     Presque Isle       1,543      13,357       11.6%  Rural                15         9.7
              Co.
Michigan     Roscommon          4,200      23,711       17.7%  Rural                38         9.0
              Co.
Michigan     Saginaw Co.       39,003     188,425       20.7%  Urban               218         5.6
Michigan     St. Clair         21,437     159,882       13.4%  Urban               167         7.8
              Co.
Michigan     St. Joseph         7,406      60,814       12.2%  Rural                70         9.5
              Co.
Michigan     Sanilac Co.        5,649      40,536       13.9%  Rural                59        10.4
Michigan     Schoolcraft        1,133       8,189       13.8%  Rural                 7         6.2
              Co.
Michigan     Shiawassee         8,571      67,970       12.6%  Rural                67         7.8
              Co.
Michigan     Tuscola Co.        7,518      52,932       14.2%  Rural                59         7.8
Michigan     Van Buren         11,222      75,690       14.8%  Rural                95         8.5
              Co.
Michigan     Washtenaw         27,674     367,947        7.5%  Urban               235         8.5
              Co.
Michigan     Wayne Co.        434,357   1,763,011       24.6%  Urban             2,226         5.1  8Higher-
                                                                                                     risk0
Michigan     Wexford Co.        5,732      34,062       16.8%  Rural                41         7.2
Minnesota    Aitkin Co.         1,309      16,142        8.1%  Rural                18        13.8
Minnesota    Anoka Co.         21,390     369,479        5.8%  Urban               206         9.6
Minnesota    Becker Co.         3,487      35,387        9.9%  Rural                38        10.9
Minnesota    Beltrami Co.       7,916      46,440         17%  Rural                42         5.3
Minnesota    Benton Co.         3,995      41,570        9.6%  Urban                31         7.8
Minnesota    Big Stone            438       5,145        8.5%  Rural                 7        16.0
              Co.
Minnesota    Blue Earth         5,474      69,681        7.9%  Urban                51         9.3
              Co.
Minnesota    Brown Co.          1,599      25,786        6.2%  Rural                23        14.4
Minnesota    Carlton Co.        2,629      36,501        7.2%  Urban                34        12.9
Minnesota    Carver Co.         3,065     110,215        2.8%  Urban                47        15.3
Minnesota    Cass Co.           4,420      31,287       14.1%  Rural                36         8.1
Minnesota    Chippewa Co.       1,107      12,335          9%  Rural                 9         8.1
Minnesota    Chisago Co.        2,522      57,918        4.4%  Urban                30        11.9
Minnesota    Clay Co.           7,855      65,989       11.9%  Urban                37         4.7
Minnesota    Clearwater         1,067       8,636       12.4%  Rural                11        10.3
              Co.
Minnesota    Cook Co.             273       5,732        4.8%  Rural                 9        33.0
Minnesota    Cottonwood         1,150      11,416       10.1%  Rural                15        13.0
              Co.
Minnesota    Crow Wing          4,509      67,862        6.6%  Rural                54        12.0
              Co.
Minnesota    Dakota Co.        21,186     443,982        4.8%  Urban               241        11.4
Minnesota    Dodge Co.          1,122      21,027        5.3%  Urban                16        14.3
Minnesota    Douglas Co.        2,429      39,665        6.1%  Rural                28        11.5
Minnesota    Faribault          1,502      13,957       10.8%  Rural                12         8.0
              Co.
Minnesota    Fillmore Co.       1,264      21,475        5.9%  Urban                18        14.2
Minnesota    Freeborn Co.       3,674      30,674         12%  Rural                31         8.4
Minnesota    Goodhue Co.        2,671      48,055        5.6%  Rural                37        13.9
Minnesota    Grant Co.            430       6,134          7%  Rural                 6        14.0
Minnesota    Hennepin Co.     116,411   1,258,981        9.2%  Urban               629         5.4
Minnesota    Houston Co.          956      18,715        5.1%  Urban                15        15.7
Minnesota    Hubbard Co.        2,148      21,925        9.8%  Rural                21         9.8
Minnesota    Isanti Co.         2,396      42,725        5.6%  Urban                30        12.5
Minnesota    Itasca Co.         4,584      45,258       10.1%  Rural                41         8.9
Minnesota    Jackson Co.          729       9,905        7.4%  Rural                11        15.1
Minnesota    Kanabec Co.        1,536      16,465        9.3%  Rural                13         8.5
Minnesota    Kandiyohi          4,484      43,904       10.2%  Rural                35         7.8
              Co.
Minnesota    Kittson Co.          355       4,058        8.7%  Rural                 7        19.7
Minnesota    Koochiching        1,315      11,846       11.1%  Rural                14        10.6
              Co.
Minnesota    Lac qui              470       6,688          7%  Rural                 8        17.0
              Parle Co.
Minnesota    Lake Co.             697      10,919        6.4%  Rural                10        14.3
Minnesota    Lake of the          301       3,902        7.7%  Rural                 4        13.3
              Woods Co.
Minnesota    Le Sueur Co.       1,407      29,205        4.8%  Urban                17        12.1
Minnesota    Lincoln Co.          297       5,626        5.3%  Rural                 6        20.2
Minnesota    Lyon Co.           2,636      25,513       10.3%  Rural                27        10.2
Minnesota    McLeod Co.         1,907      36,791        5.2%  Rural                34        17.8
Minnesota    Mahnomen Co.       1,311       5,354       24.5%  Rural                 8         6.1  8Higher-
                                                                                                     risk0
Minnesota    Marshall Co.         578       8,890        6.5%  Rural                 8        13.8
Minnesota    Martin Co.         2,068      19,687       10.5%  Rural                19         9.2
Minnesota    Meeker Co.         1,533      23,526        6.5%  Rural                17        11.1
Minnesota    Mille Lacs         2,462      27,270          9%  Urban                29        11.8
              Co.
Minnesota    Morrison Co.       2,319      34,284        6.8%  Rural                34        14.7
Minnesota    Mower Co.          4,651      40,174       11.6%  Rural                41         8.8
Minnesota    Murray Co.           553       8,051        6.9%  Rural                 7        12.7
Minnesota    Nicollet Co.       2,082      34,381        6.1%  Urban                20         9.6
Minnesota    Nobles Co.         1,827      22,030        8.3%  Rural                27        14.8
Minnesota    Norman Co.           699       6,354         11%  Rural                 8        11.4
Minnesota    Olmsted Co.       13,626     164,151        8.3%  Urban                93         6.8
Minnesota    Otter Tail         3,871      60,530        6.4%  Rural                45        11.6
              Co.
Minnesota    Pennington         1,073      13,832        7.8%  Rural                 9         8.4
              Co.
Minnesota    Pine Co.           2,917      29,458        9.9%  Rural                26         8.9
Minnesota    Pipestone            722       9,320        7.7%  Rural                11        15.2
              Co.
Minnesota    Polk Co.           3,814      30,760       12.4%  Urban                17         4.5
Minnesota    Pope Co.             720      11,429        6.3%  Rural                 7         9.7
Minnesota    Ramsey Co.        71,933     538,430       13.4%  Urban               342         4.8
Minnesota    Red Lake Co.         369       3,888        9.5%  Rural                 3         8.1
Minnesota    Redwood Co.        1,155      15,362        7.5%  Rural                14        12.1
Minnesota    Renville Co.       1,272      14,540        8.7%  Rural                14        11.0
Minnesota    Rice Co.           4,105      67,696        6.1%  Rural                41        10.0
Minnesota    Rock Co.             628       9,596        6.5%  Urban                 7        11.1
Minnesota    Roseau Co.           962      15,359        6.3%  Rural                16        16.6
Minnesota    St. Louis         20,122     199,598       10.1%  Urban               156         7.8
              Co.
Minnesota    Scott Co.          6,049     154,606        3.9%  Urban                70        11.6
Minnesota    Sherburne          5,343     100,617        5.3%  Urban                47         8.8
              Co.
Minnesota    Sibley Co.           918      14,964        6.1%  Rural                11        12.0
Minnesota    Stearns Co.       14,725     160,556        9.2%  Urban               126         8.6
Minnesota    Steele Co.         3,429      37,470        9.2%  Rural                30         8.7
Minnesota    Stevens Co.          635       9,692        6.6%  Rural                 7        11.0
Minnesota    Swift Co.            851       9,774        8.7%  Rural                 8         9.4
Minnesota    Todd Co.           1,759      25,568        6.9%  Rural                30        17.1
Minnesota    Traverse Co.         468       3,261       14.4%  Rural                 6        12.8
Minnesota    Wabasha Co.        1,015      21,654        4.7%  Urban                15        14.8
Minnesota    Wadena Co.         1,691      14,284       11.8%  Rural                12         7.1
Minnesota    Waseca Co.         1,684      18,884        8.9%  Rural                15         8.9
Minnesota    Washington        10,183     276,530        3.7%  Urban               113        11.1
              Co.
Minnesota    Watonwan Co.         681      11,245        6.1%  Rural                16        23.5
Minnesota    Wilkin Co.           677       6,363       10.6%  Rural                 2         3.0
Minnesota    Winona Co.         3,224      49,585        6.5%  Rural                34        10.5
Minnesota    Wright Co.         5,073     148,218        3.4%  Urban                77        15.2
Minnesota    Yellow               602       9,484        6.3%  Rural                 8        13.3
              Medicine
              Co.
Mississippi  Adams Co.          4,579      28,558         16%  Rural                36         7.9
Mississippi  Alcorn Co.         3,818      34,094       11.2%  Rural                35         9.2
Mississippi  Amite Co.          1,855      12,572       14.8%  Rural                15         8.1
Mississippi  Attala Co.         2,923      17,529       16.7%  Rural                20         6.8
Mississippi  Benton Co.         1,388       7,574       18.3%  Urban                10         7.2
Mississippi  Bolivar Co.        7,411      29,443       25.2%  Rural                47         6.3  8Higher-
                                                                                                     risk0
Mississippi  Calhoun Co.        1,540      12,913       11.9%  Rural                15         9.7
Mississippi  Carroll Co.        1,034       9,747       10.6%  Rural                 9         8.7
Mississippi  Chickasaw          2,454      16,870       14.5%  Rural                23         9.4
              Co.
Mississippi  Choctaw Co.          806       8,086         10%  Rural                 9        11.2
Mississippi  Claiborne          2,626       8,599       30.5%  Rural                 9         3.4  8Higher-
              Co.                                                                                    risk0
Mississippi  Clarke Co.         2,377      15,212       15.6%  Rural                15         6.3
Mississippi  Clay Co.           3,458      18,334       18.9%  Rural                33         9.5
Mississippi  Coahoma Co.        7,387      20,404       36.2%  Rural                31         4.2  8Higher-
                                                                                                     risk0
Mississippi  Copiah Co.         5,630      27,811       20.2%  Urban                41         7.3
Mississippi  Covington          3,708      18,126       20.5%  Rural                25         6.7
              Co.
Mississippi  DeSoto Co.        13,236     191,585        6.9%  Urban               165        12.5
Mississippi  Forrest Co.       10,048      78,284       12.8%  Urban                98         9.8
Mississippi  Franklin Co.         950       7,619       12.5%  Rural                 9         9.5
Mississippi  George Co.         2,889      25,219       11.5%  Rural                21         7.3
Mississippi  Greene Co.         1,180      13,583        8.7%  Rural                13        11.0
Mississippi  Grenada Co.        3,075      21,152       14.5%  Rural                28         9.1
Mississippi  Hancock Co.        4,805      46,047       10.4%  Urban                39         8.1
Mississippi  Harrison Co.      31,009     210,972       14.7%  Urban               203         6.5
Mississippi  Hinds Co.         40,024     217,383       18.4%  Urban               238         5.9
Mississippi  Holmes Co.         4,828      16,147       29.9%  Urban                31         6.4  8Higher-
                                                                                                     risk0
Mississippi  Humphreys          2,819       7,342       38.4%  Rural                14         5.0  8Higher-
              Co.                                                                                    risk0
Mississippi  Issaquena            214       1,284       16.7%  Rural                 1         4.7
              Co.
Mississippi  Itawamba Co.       1,769      24,034        7.4%  Rural                24        13.6
Mississippi  Jackson Co.       14,353     145,218        9.9%  Urban               133         9.3
Mississippi  Jasper Co.         2,530      16,020       15.8%  Rural                20         7.9
Mississippi  Jefferson          1,704       7,086         24%  Rural                 8         4.7  8Higher-
              Co.                                                                                    risk0
Mississippi  Jefferson          1,660      11,086         15%  Rural                11         6.6
              Davis Co.
Mississippi  Jones Co.          7,304      66,464         11%  Rural                93        12.7
Mississippi  Kemper Co.         1,550       8,692       17.8%  Rural                10         6.5
Mississippi  Lafayette          3,495      58,776        5.9%  Rural                26         7.4
              Co.
Mississippi  Lamar Co.          4,114      65,811        6.3%  Urban                39         9.5
Mississippi  Lauderdale        12,242      71,323       17.2%  Rural                93         7.6
              Co.
Mississippi  Lawrence Co.       1,828      11,766       15.5%  Rural                17         9.3
Mississippi  Leake Co.          2,728      21,279       12.8%  Rural                21         7.7
Mississippi  Lee Co.            8,071      82,946        9.7%  Rural                96        11.9
Mississippi  Leflore Co.        7,665      26,938       28.5%  Rural                45         5.9  8Higher-
                                                                                                     risk0
Mississippi  Lincoln Co.        4,564      34,807       13.1%  Rural                39         8.5
Mississippi  Lowndes Co.        9,680      57,694       16.8%  Rural                74         7.6
Mississippi  Madison Co.        7,875     111,694        7.1%  Urban                83        10.5
Mississippi  Marion Co.         3,091      24,142       12.8%  Rural                29         9.4
Mississippi  Marshall Co.       3,820      33,897       11.3%  Urban                50        13.1
Mississippi  Monroe Co.         3,625      33,561       10.8%  Rural                30         8.3
Mississippi  Montgomery         1,684       9,547       17.6%  Rural                15         8.9
              Co.
Mississippi  Neshoba Co.        5,765      28,854         20%  Rural                32         5.6
Mississippi  Newton Co.         2,262      21,017       10.8%  Rural                20         8.8
Mississippi  Noxubee Co.        3,069      10,019       30.6%  Rural                15         4.9  8Higher-
                                                                                                     risk0
Mississippi  Oktibbeha          5,104      51,661        9.9%  Rural                35         6.9
              Co.
Mississippi  Panola Co.         5,333      32,553       16.4%  Rural                44         8.3
Mississippi  Pearl River        7,217      57,338       12.6%  Rural                71         9.8
              Co.
Mississippi  Perry Co.          1,592      11,440       13.9%  Urban                12         7.5
Mississippi  Pike Co.           7,736      39,592       19.5%  Rural                68         8.8
Mississippi  Pontotoc Co.       2,563      31,449        8.1%  Rural                28        10.9
Mississippi  Prentiss Co.       2,462      25,094        9.8%  Rural                22         8.9
Mississippi  Quitman Co.        1,227       5,683       21.6%  Rural                12         9.8
Mississippi  Rankin Co.         8,868     158,733        5.6%  Urban               118        13.3
Mississippi  Scott Co.          3,171      27,710       11.4%  Urban                42        13.2
Mississippi  Sharkey Co.        1,242       3,483       35.7%  Rural                 6         4.8  8Higher-
                                                                                                     risk0
Mississippi  Simpson Co.        3,210      25,615       12.5%  Urban                33        10.3
Mississippi  Smith Co.          1,261      14,095        8.9%  Rural                10         7.9
Mississippi  Stone Co.          2,318      18,834       12.3%  Urban                19         8.2
Mississippi  Sunflower          6,239      24,314       25.7%  Rural                44         7.1  8Higher-
              Co.                                                                                    risk0
Mississippi  Tallahatchie       1,832      11,762       15.6%  Rural                11         6.0
              Co.
Mississippi  Tate Co.           3,145      28,372       11.1%  Urban                29         9.2
Mississippi  Tippah Co.         1,668      21,480        7.8%  Rural                25        15.0
Mississippi  Tishomingo         1,700      18,626        9.1%  Rural                21        12.4
              Co.
Mississippi  Tunica Co.         2,965       9,461       31.3%  Urban                20         6.7  8Higher-
                                                                                                     risk0
Mississippi  Union Co.          2,367      28,130        8.4%  Rural                23         9.7
Mississippi  Walthall Co.       1,878      13,815       13.6%  Rural                14         7.5
Mississippi  Warren Co.         9,137      42,684       21.4%  Rural                62         6.8
Mississippi  Washington        12,895      42,490       30.3%  Rural                68         5.3  8Higher-
              Co.                                                                                    risk0
Mississippi  Wayne Co.          4,319      19,617         22%  Rural                23         5.3
Mississippi  Webster Co.        1,407       9,953       14.1%  Rural                11         7.8
Mississippi  Wilkinson          1,530       8,175       18.7%  Rural                 9         5.9
              Co.
Mississippi  Winston Co.        2,933      17,527       16.7%  Rural                23         7.8
Mississippi  Yalobusha          1,997      12,395       16.1%  Rural                20        10.0
              Co.
Mississippi  Yazoo Co.          6,339      24,698       25.7%  Urban                32         5.0  8Higher-
                                                                                                     risk0
Missouri     Adair Co.          2,331      25,155        9.3%  Rural                21         9.0
Missouri     Andrew Co.           942      18,008        5.2%  Urban                 7         7.4
Missouri     Atchison Co.         389       5,163        7.5%  Rural                 7        18.0
Missouri     Audrain Co.        2,731      24,455       11.2%  Rural                26         9.5
Missouri     Barry Co.          4,836      34,931       13.8%  Rural                48         9.9
Missouri     Barton Co.         1,508      11,695       12.9%  Rural                16        10.6
Missouri     Bates Co.          1,605      16,156        9.9%  Urban                18        11.2
Missouri     Benton Co.         2,389      20,216       11.8%  Rural                20         8.4
Missouri     Bollinger          1,785      10,510         17%  Urban                 8         4.5
              Co.
Missouri     Boone Co.         15,095     187,743          8%  Urban               120         7.9
Missouri     Buchanan Co.      13,050      82,956       15.7%  Urban                89         6.8
Missouri     Butler Co.         8,559      42,150       20.3%  Rural                50         5.8
Missouri     Caldwell Co.         763       8,939        8.5%  Urban                 8        10.5
Missouri     Callaway Co.       3,848      44,760        8.6%  Urban                37         9.6
Missouri     Camden Co.         3,449      43,779        7.9%  Rural                47        13.6
Missouri     Cape               8,937      82,940       10.8%  Urban                51         5.7
              Girardeau
              Co.
Missouri     Carroll Co.          767       8,410        9.1%  Rural                10        13.0
Missouri     Carter Co.         1,089       5,267       20.7%  Rural                 7         6.4
Missouri     Cass Co.           6,868     110,345        6.2%  Urban                77        11.2
Missouri     Cedar Co.          1,925      14,612       13.2%  Rural                14         7.3
Missouri     Chariton Co.         567       7,395        7.7%  Rural                 9        15.9
Missouri     Christian          5,706      93,130        6.1%  Urban                64        11.2
              Co.
Missouri     Clark Co.            646       6,714        9.6%  Rural                10        15.5
Missouri     Clay Co.          15,620     257,037        6.1%  Urban               152         9.7
Missouri     Clinton Co.        1,369      21,339        6.4%  Urban                21        15.3
Missouri     Cole Co.           7,181      76,977        9.3%  Urban                65         9.1
Missouri     Cooper Co.         1,436      16,741        8.6%  Urban                21        14.6
Missouri     Crawford Co.       3,162      22,622         14%  Rural                21         6.6
Missouri     Dade Co.             826       7,679       10.8%  Rural                11        13.3
Missouri     Dallas Co.         2,124      17,610       12.1%  Urban                20         9.4
Missouri     Daviess Co.          698       8,455        8.3%  Rural                10        14.3
Missouri     DeKalb Co.           649      11,307        5.7%  Urban                 8        12.3
Missouri     Dent Co.           2,383      14,471       16.5%  Rural                10         4.2
Missouri     Douglas Co.        1,797      11,967         15%  Rural                10         5.6
Missouri     Dunklin Co.        8,005      27,444       29.2%  Rural                36         4.5  8Higher-
                                                                                                     risk0
Missouri     Franklin Co.       8,650     105,865        8.2%  Urban                79         9.1
Missouri     Gasconade          1,166      14,800        7.9%  Rural                12        10.3
              Co.
Missouri     Gentry Co.           474       6,291        7.5%  Rural                 9        19.0
Missouri     Greene Co.        31,753     303,336       10.5%  Urban               245         7.7
Missouri     Grundy Co.         1,216       9,828       12.4%  Rural                12         9.9
Missouri     Harrison Co.         917       8,213       11.2%  Rural                11        12.0
Missouri     Henry Co.          2,857      22,404       12.8%  Rural                29        10.2
Missouri     Hickory Co.        1,211       8,576       14.1%  Rural                18        14.9
Missouri     Holt Co.             358       4,265        8.4%  Rural                 5        14.0
Missouri     Howard Co.           755      10,169        7.4%  Urban                 8        10.6
Missouri     Howell Co.         7,266      40,612       17.9%  Rural                60         8.3
Missouri     Iron Co.           1,744       9,411       18.5%  Rural                14         8.0
Missouri     Jackson Co.       94,319     716,580       13.2%  Urban               560         5.9
Missouri     Jasper Co.        16,716     123,969       13.5%  Urban               141         8.4
Missouri     Jefferson         17,053     229,268        7.4%  Urban               142         8.3
              Co.
Missouri     Johnson Co.        3,445      54,423        6.3%  Rural                47        13.6
Missouri     Knox Co.             355       3,777        9.4%  Rural                 7        19.7
Missouri     Laclede Co.        5,077      36,330         14%  Rural                38         7.5
Missouri     Lafayette          2,905      32,937        8.8%  Urban                39        13.4
              Co.
Missouri     Lawrence Co.       4,687      38,672       12.1%  Rural                34         7.3
Missouri     Lewis Co.            736       9,888        7.4%  Rural                12        16.3
Missouri     Lincoln Co.        5,122      63,184        8.1%  Urban                43         8.4
Missouri     Linn Co.           1,302      11,842         11%  Rural                12         9.2
Missouri     Livingston         1,274      14,365        8.9%  Rural                15        11.8
              Co.
Missouri     McDonald Co.       3,028      23,623       12.8%  Rural                32        10.6
Missouri     Macon Co.          1,225      15,084        8.1%  Rural                16        13.1
Missouri     Madison Co.        1,967      12,763       15.4%  Rural                10         5.1
Missouri     Maries Co.           631       8,434        7.5%  Rural                 6         9.5
Missouri     Marion Co.         3,564      28,489       12.5%  Rural                38        10.7
Missouri     Mercer Co.           248       3,469        7.1%  Rural                 5        20.2
Missouri     Miller Co.         2,778      25,384       10.9%  Rural                26         9.4
Missouri     Mississippi        2,871      11,683       24.6%  Rural                16         5.6  8Higher-
              Co.                                                                                    risk0
Missouri     Moniteau Co.       1,042      15,241        6.8%  Urban                13        12.5
Missouri     Monroe Co.           731       8,650        8.5%  Rural                11        15.0
Missouri     Montgomery         1,177      11,463       10.3%  Rural                17        14.4
              Co.
Missouri     Morgan Co.         2,658      21,781       12.2%  Rural                31        11.7
Missouri     New Madrid         3,296      15,686         21%  Rural                25         7.6
              Co.
Missouri     Newton Co.         6,994      60,107       11.6%  Urban                64         9.2
Missouri     Nodaway Co.        1,251      20,690          6%  Rural                16        12.8
Missouri     Oregon Co.         2,171       8,709       24.9%  Rural                16         7.4  8Higher-
                                                                                                     risk0
Missouri     Osage Co.            640      13,399        4.8%  Urban                13        20.3
Missouri     Ozark Co.          1,388       8,970       15.5%  Rural                12         8.6
Missouri     Pemiscot Co.       4,816      14,880       32.4%  Rural                20         4.2  8Higher-
                                                                                                     risk0
Missouri     Perry Co.          1,550      18,882        8.2%  Rural                17        11.0
Missouri     Pettis Co.         5,716      43,381       13.2%  Rural                42         7.3
Missouri     Phelps Co.         4,649      45,301       10.3%  Rural                38         8.2
Missouri     Pike Co.           1,888      17,650       10.7%  Rural                21        11.1
Missouri     Platte Co.         4,262     110,593        3.9%  Urban                52        12.2
Missouri     Polk Co.           3,732      32,669       11.4%  Urban                26         7.0
Missouri     Pulaski Co.        4,730      53,824        8.8%  Rural                37         7.8
Missouri     Putnam Co.           382       4,653        8.2%  Rural                 4        10.5
Missouri     Ralls Co.            785      10,419        7.5%  Rural                12        15.3
Missouri     Randolph Co.       3,224      24,619       13.1%  Rural                29         9.0
Missouri     Ray Co.            2,060      23,119        8.9%  Urban                16         7.8
Missouri     Reynolds Co.       1,208       5,994       20.2%  Rural                10         8.3
Missouri     Ripley Co.         2,779      10,699         26%  Rural                14         5.0  8Higher-
                                                                                                     risk0
Missouri     St. Charles       14,695     414,055        3.5%  Urban               209        14.2
              Co.
Missouri     St. Clair          1,221       9,581       12.7%  Rural                15        12.3
              Co.
Missouri     Ste.               1,296      18,614          7%  Rural                15        11.6
              Genevieve
              Co.
Missouri     St. Francois       9,965      66,938       14.9%  Rural                62         6.2
              Co.
Missouri     St. Louis        101,334     991,881       10.2%  Urban               640         6.3
              Co.
Missouri     Saline Co.         2,618      23,016       11.4%  Rural                23         8.8
Missouri     Schuyler Co.         359       4,016        8.9%  Rural                 6        16.7
Missouri     Scotland Co.         289       4,653        6.2%  Rural                 6        20.8
Missouri     Scott Co.          7,403      37,869       19.5%  Rural                35         4.7
Missouri     Shannon Co.        1,784       7,223       24.7%  Rural                10         5.6  8Higher-
                                                                                                     risk0
Missouri     Shelby Co.           594       6,004        9.9%  Rural                 9        15.2
Missouri     Stoddard Co.       4,330      28,366       15.3%  Rural                29         6.7
Missouri     Stone Co.          2,770      32,137        8.6%  Rural                35        12.6
Missouri     Sullivan Co.         677       5,828       11.6%  Rural                 7        10.3
Missouri     Taney Co.          6,516      56,736       11.5%  Rural                67        10.3
Missouri     Texas Co.          3,221      25,298       12.7%  Rural                23         7.1
Missouri     Vernon Co.         2,769      19,608       14.1%  Rural                17         6.1
Missouri     Warren Co.         2,873      37,292        7.7%  Urban                23         8.0
Missouri     Washington         4,520      23,389       19.3%  Rural                29         6.4
              Co.
Missouri     Wayne Co.          2,308      10,807       21.4%  Rural                17         7.4
Missouri     Webster Co.        3,639      40,369          9%  Urban                37        10.2
Missouri     Worth Co.            159       1,943        8.2%  Rural                 3        18.9
Missouri     Wright Co.         3,131      19,108       16.4%  Rural                28         8.9
Missouri     St. Louis         62,509     286,292       21.8%  Urban               269         4.3
              city
Montana      Beaverhead           540       9,742        5.5%  Rural                 8        14.8
              Co.
Montana      Big Horn Co.       3,219      12,858         25%  Rural                14         4.3  8Higher-
                                                                                                     risk0
Montana      Blaine Co.           968       6,956       13.9%  Rural                 8         8.3
Montana      Broadwater           322       7,787        4.1%  Urban                 6        18.6
              Co.
Montana      Carbon Co.           510      11,241        4.5%  Urban                 8        15.7
Montana      Carter Co.            22       1,402        1.6%  Rural                 1        45.5
Montana      Cascade Co.        8,699      84,908       10.2%  Urban                55         6.3
Montana      Chouteau Co.         263       5,917        4.4%  Rural                 4        15.2
Montana      Custer Co.           848      12,005        7.1%  Rural                 7         8.3
Montana      Daniels Co.           53       1,644        3.2%  Rural                 1        18.9
Montana      Dawson Co.           548       8,801        6.2%  Rural                 7        12.8
Montana      Deer Lodge           851       9,541        8.9%  Rural                10        11.8
              Co.
Montana      Fallon Co.           112       3,047        3.7%  Rural                 2        17.9
Montana      Fergus Co.           611      11,669        5.2%  Rural                 8        13.1
Montana      Flathead Co.       6,492     111,783        5.8%  Rural                71        10.9
Montana      Gallatin Co.       2,450     124,733          2%  Urban                62        25.3
Montana      Garfield Co.          22       1,221        1.8%  Rural                 1        45.5
Montana      Glacier Co.        3,148      13,637       23.1%  Rural                13         4.1  8Higher-
                                                                                                     risk0
Montana      Golden                64         838        7.6%  Rural                 1        15.6
              Valley Co.
Montana      Granite Co.          134       3,482        3.8%  Rural                 3        22.4
Montana      Hill Co.           2,928      16,069       18.2%  Rural                13         4.4
Montana      Jefferson            586      12,864        4.6%  Urban                 7        11.9
              Co.
Montana      Judith Basin          69       2,082        3.3%  Rural                 1        14.5
              Co.
Montana      Lake Co.           4,103      32,821       12.5%  Rural                30         7.3
Montana      Lewis and          5,076      73,681        6.9%  Urban                46         9.1
              Clark Co.
Montana      Liberty Co.           96       1,972        4.9%  Rural                 1        10.4
Montana      Lincoln Co.        2,662      21,485       12.4%  Rural                26         9.8
Montana      McCone Co.            17       1,712          1%  Rural                 1        58.8
Montana      Madison Co.          250       9,237        2.7%  Rural                 7        28.0
Montana      Meagher Co.          103       2,025        5.1%  Rural                 3        29.1
Montana      Mineral Co.          562       5,037       11.2%  Urban                 6        10.7
Montana      Missoula Co.       8,554     120,931        7.1%  Urban                75         8.8
Montana      Musselshell          548       5,188       10.6%  Rural                 4         7.3
              Co.
Montana      Park Co.             723      17,783        4.1%  Rural                12        16.6
Montana      Petroleum             10         520        1.9%  Rural                 1       100.0
              Co.
Montana      Phillips Co.         422       4,223         10%  Rural                 5        11.8
Montana      Pondera Co.          599       6,093        9.8%  Rural                 6        10.0
Montana      Powder River          53       1,725        3.1%  Rural                 1        18.9
              Co.
Montana      Powell Co.           498       7,063        7.1%  Rural                 5        10.0
Montana      Prairie Co.           58       1,114        5.2%  Rural                 1        17.2
Montana      Ravalli Co.        2,972      47,177        6.3%  Rural                30        10.1
Montana      Richland Co.         592      11,191        5.3%  Rural                12        20.3
Montana      Roosevelt          2,754      10,514       26.2%  Rural                 9         3.3  8Higher-
              Co.                                                                                    risk0
Montana      Rosebud Co.        1,322       8,122       16.3%  Rural                12         9.1
Montana      Sanders Co.        1,343      13,396         10%  Rural                20        14.9
Montana      Sheridan Co.         195       3,550        5.5%  Rural                 4        20.5
Montana      Silver Bow         3,844      35,876       10.7%  Rural                33         8.6
              Co.
Montana      Stillwater           327       9,194        3.6%  Urban                 7        21.4
              Co.
Montana      Sweet Grass          128       3,724        3.4%  Rural                 6        46.9
              Co.
Montana      Teton Co.            327       6,349        5.2%  Rural                 4        12.2
Montana      Toole Co.            311       5,072        6.1%  Rural                 6        19.3
Montana      Treasure Co.          54         749        7.2%  Rural                 0         0.0
Montana      Valley Co.           704       7,560        9.3%  Rural                 6         8.5
Montana      Wheatland            190       2,043        9.3%  Rural                 4        21.1
              Co.
Montana      Wibaux Co.            35         924        3.8%  Rural                 1        28.6
Montana      Yellowstone       12,875     169,817        7.6%  Urban               105         8.2
              Co.
Nebraska     Adams Co.          2,615      31,023        8.4%  Rural                21         8.0
Nebraska     Antelope Co.         326       6,299        5.2%  Rural                 6        18.4
Nebraska     Arthur Co.            15         427        3.5%  Rural                 0         0.0
Nebraska     Banner Co.            19         656        2.9%  Rural                 0         0.0
Nebraska     Blaine Co.            25         448        5.6%  Rural                 0         0.0
Nebraska     Boone Co.            238       5,366        4.4%  Rural                 9        37.8
Nebraska     Box Butte          1,109      10,685       10.4%  Rural                 8         7.2
              Co.
Nebraska     Boyd Co.              69       1,737          4%  Rural                 3        43.5
Nebraska     Brown Co.            147       2,894        5.1%  Rural                 5        34.0
Nebraska     Buffalo Co.        2,955      50,528        5.8%  Rural                42        14.2
Nebraska     Burt Co.             529       6,790        7.8%  Rural                 7        13.2
Nebraska     Butler Co.           361       8,432        4.3%  Rural                 5        13.9
Nebraska     Cass Co.           1,197      27,169        4.4%  Urban                14        11.7
Nebraska     Cedar Co.            294       8,366        3.5%  Rural                 7        23.8
Nebraska     Chase Co.            177       3,768        4.7%  Rural                 3        16.9
Nebraska     Cherry Co.           365       5,495        6.6%  Rural                10        27.4
Nebraska     Cheyenne Co.         838       9,524        8.8%  Rural                 8         9.5
Nebraska     Clay Co.             441       6,070        7.3%  Rural                 5        11.3
Nebraska     Colfax Co.           643      10,645          6%  Rural                11        17.1
Nebraska     Cuming Co.           391       8,970        4.4%  Rural                 8        20.5
Nebraska     Custer Co.           570      10,503        5.4%  Rural                10        17.5
Nebraska     Dakota Co.         1,917      21,253          9%  Urban                21        11.0
Nebraska     Dawes Co.            662       8,250          8%  Rural                 8        12.1
Nebraska     Dawson Co.         2,074      24,048        8.6%  Rural                22        10.6
Nebraska     Deuel Co.            168       1,900        8.8%  Rural                 5        29.8
Nebraska     Dixon Co.            141       5,522        2.6%  Rural                 4        28.4
Nebraska     Dodge Co.          3,300      37,130        8.9%  Rural                35        10.6
Nebraska     Douglas Co.       58,995     587,894         10%  Urban               374         6.3
Nebraska     Dundy Co.            106       1,601        6.6%  Rural                 2        18.9
Nebraska     Fillmore Co.         330       5,529          6%  Rural                 9        27.3
Nebraska     Franklin Co.         219       2,834        7.7%  Rural                 4        18.3
Nebraska     Frontier Co.         142       2,624        5.4%  Rural                 3        21.1
Nebraska     Furnas Co.           426       4,573        9.3%  Rural                 9        21.1
Nebraska     Gage Co.           1,906      21,542        8.8%  Rural                16         8.4
Nebraska     Garden Co.           238       1,837         13%  Rural                 3        12.6
Nebraska     Garfield Co.          42       1,783        2.4%  Rural                 3        71.4
Nebraska     Gosper Co.            90       1,831        4.9%  Rural                 2        22.2
Nebraska     Grant Co.             24         587        4.1%  Rural                 1        41.7
Nebraska     Greeley Co.           86       2,237        3.8%  Rural                 2        23.3
Nebraska     Hall Co.           6,411      62,292       10.3%  Urban                55         8.6
Nebraska     Hamilton Co.         365       9,439        3.9%  Rural                 7        19.2
Nebraska     Harlan Co.           131       3,023        4.3%  Rural                 3        22.9
Nebraska     Hayes Co.             29         864        3.4%  Rural                 1        34.5
Nebraska     Hitchcock            218       2,611        8.3%  Rural                 2         9.2
              Co.
Nebraska     Holt Co.             586      10,069        5.8%  Rural                15        25.6
Nebraska     Hooker Co.            24         680        3.5%  Rural                 2        83.3
Nebraska     Howard Co.           315       6,521        4.8%  Urban                 8        25.4
Nebraska     Jefferson            713       7,151         10%  Rural                 4         5.6
              Co.
Nebraska     Johnson Co.          292       5,264        5.5%  Rural                 5        17.1
Nebraska     Kearney Co.          217       6,708        3.2%  Rural                 5        23.0
Nebraska     Keith Co.            607       8,205        7.4%  Rural                14        23.1
Nebraska     Keya Paha             16         801          2%  Rural                 1        62.5
              Co.
Nebraska     Kimball Co.          299       3,344        8.9%  Rural                 4        13.4
Nebraska     Knox Co.             613       8,356        7.3%  Rural                 9        14.7
Nebraska     Lancaster         26,896     325,252        8.3%  Urban               180         6.7
              Co.
Nebraska     Lincoln Co.        3,327      33,619        9.9%  Rural                30         9.0
Nebraska     Logan Co.             21         691          3%  Rural                 1        47.6
Nebraska     Loup Co.              20         597        3.4%  Rural                 0         0.0
Nebraska     McPherson             11         374        2.9%  Rural                 0         0.0
              Co.
Nebraska     Madison Co.        2,737      35,427        7.7%  Rural                34        12.4
Nebraska     Merrick Co.          438       7,709        5.7%  Urban                 7        16.0
Nebraska     Morrill Co.          521       4,528       11.5%  Rural                 4         7.7
Nebraska     Nance Co.            141       3,323        4.2%  Rural                 5        35.5
Nebraska     Nemaha Co.           528       7,028        7.5%  Rural                 6        11.4
Nebraska     Nuckolls Co.         279       4,076        6.8%  Rural                 3        10.8
Nebraska     Otoe Co.           1,017      16,243        6.3%  Rural                15        14.7
Nebraska     Pawnee Co.           191       2,536        7.5%  Rural                 3        15.7
Nebraska     Perkins Co.           85       2,844          3%  Rural                 2        23.5
Nebraska     Phelps Co.           468       9,007        5.2%  Rural                 9        19.2
Nebraska     Pierce Co.           328       7,326        4.5%  Rural                 9        27.4
Nebraska     Platte Co.         2,024      34,452        5.9%  Rural                24        11.9
Nebraska     Polk Co.             225       5,234        4.3%  Rural                 6        26.7
Nebraska     Red Willow           767      10,557        7.3%  Rural                 8        10.4
              Co.
Nebraska     Richardson           667       7,736        8.6%  Rural                 9        13.5
              Co.
Nebraska     Rock Co.              46       1,234        3.7%  Rural                 2        43.5
Nebraska     Saline Co.           978      14,621        6.7%  Rural                14        14.3
Nebraska     Sarpy Co.          8,355     196,606        4.2%  Urban                88        10.5
Nebraska     Saunders Co.         871      23,159        3.8%  Urban                10        11.5
Nebraska     Scotts Bluff       4,705      35,798       13.1%  Rural                25         5.3
              Co.
Nebraska     Seward Co.           599      17,623        3.4%  Urban                10        16.7
Nebraska     Sheridan Co.         382       5,015        7.6%  Rural                11        28.8
Nebraska     Sherman Co.          168       3,000        5.6%  Rural                 4        23.8
Nebraska     Sioux Co.             11       1,129          1%  Rural                 1        90.9
Nebraska     Stanton Co.          142       5,748        2.5%  Rural                 3        21.1
Nebraska     Thayer Co.           310       4,866        6.4%  Rural                 5        16.1
Nebraska     Thomas Co.            40         667          6%  Rural                 2        50.0
Nebraska     Thurston Co.       1,586       6,549       24.2%  Rural                 6         3.8  8Higher-
                                                                                                     risk0
Nebraska     Valley Co.           324       4,064          8%  Rural                 6        18.5
Nebraska     Washington           660      21,175        3.1%  Urban                10        15.2
              Co.
Nebraska     Wayne Co.            422       9,898        4.3%  Rural                 7        16.6
Nebraska     Webster Co.          309       3,334        9.3%  Rural                 5        16.2
Nebraska     Wheeler Co.           28         784        3.6%  Rural                 0         0.0
Nebraska     York Co.             900      14,319        6.3%  Rural                14        15.6
Nevada       Churchill          3,641      25,828       14.1%  Rural                24         6.6
              Co.
Nevada       Clark Co.        397,007   2,321,961       17.1%  Urban             1,378         3.5
Nevada       Douglas Co.        2,342      49,592        4.7%  Rural                29        12.4
Nevada       Elko Co.           4,990      53,943        9.3%  Rural                47         9.4
Nevada       Esmeralda             91         744       12.2%  Rural                 0         0.0
              Co.
Nevada       Eureka Co.           162       1,862        8.7%  Rural                 4        24.7
Nevada       Humboldt Co.       1,823      17,262       10.6%  Rural                20        11.0
Nevada       Lander Co.           508       5,769        8.8%  Rural                 7        13.8
Nevada       Lincoln Co.          524       4,421       11.9%  Rural                 7        13.4
Nevada       Lyon Co.           6,302      61,589       10.2%  Urban                49         7.8
Nevada       Mineral Co.          865       4,538       19.1%  Rural                 6         6.9
Nevada       Nye Co.           10,285      54,710       18.8%  Rural                42         4.1
Nevada       Pershing Co.         673       6,446       10.4%  Rural                 6         8.9
Nevada       Storey Co.           118       4,165        2.8%  Urban                 1         8.5
Nevada       Washoe Co.        47,255     496,458        9.5%  Urban               335         7.1
Nevada       White Pine         1,095       8,734       12.5%  Rural                 9         8.2
              Co.
Nevada       Carson City        6,919      58,094       11.9%  Urban                49         7.1
New          Belknap Co.        4,293      64,647        6.6%  Rural                58        13.5
 Hampshire
New          Carroll Co.        2,528      52,094        4.9%  Rural                45        17.8
 Hampshire
New          Cheshire Co.       5,154      77,386        6.7%  Rural                72        14.0
 Hampshire
New          Coos Co.           3,312      31,430       10.5%  Rural                39        11.8
 Hampshire
New          Grafton Co.        4,384      92,943        4.7%  Rural                92        21.0
 Hampshire
New          Hillsborough      25,023     426,307        5.9%  Urban               305        12.2
 Hampshire    Co.
New          Merrimack          8,311     156,241        5.3%  Rural               112        13.5
 Hampshire    Co.
New          Rockingham         8,113     319,298        2.5%  Urban               196        24.2
 Hampshire    Co.
New          Strafford          8,038     132,451        6.1%  Urban                93        11.6
 Hampshire    Co.
New          Sullivan Co.       3,802      43,881        8.7%  Rural                41        10.8
 Hampshire
New Jersey   Atlantic Co.      37,926     276,111       13.7%  Urban               239         6.3
New Jersey   Bergen Co.        37,083     957,235        3.9%  Urban               401        10.8
New Jersey   Burlington        19,790     466,710        4.2%  Urban               267        13.5
              Co.
New Jersey   Camden Co.        73,357     525,395         14%  Urban               432         5.9
New Jersey   Cape May Co.       7,368      95,415        7.7%  Urban                73         9.9
New Jersey   Cumberland        25,093     151,686       16.5%  Urban               151         6.0
              Co.
New Jersey   Essex Co.        124,831     854,738       14.6%  Urban               602         4.8
New Jersey   Gloucester        16,120     306,936        5.3%  Urban               177        11.0
              Co.
New Jersey   Hudson Co.        99,728     708,657       14.1%  Urban               572         5.7
New Jersey   Hunterdon          3,053     129,977        2.3%  Urban                51        16.7
              Co.
New Jersey   Mercer Co.        33,452     382,165        8.8%  Urban               267         8.0
New Jersey   Middlesex         53,711     866,241        6.2%  Urban               470         8.8
              Co.
New Jersey   Monmouth Co.      27,384     644,994        4.2%  Urban               346        12.6
New Jersey   Morris Co.        13,719     512,685        2.7%  Urban               212        15.5
New Jersey   Ocean Co.         54,799     656,386        8.3%  Urban               306         5.6
New Jersey   Passaic Co.       78,154     516,287       15.1%  Urban               505         6.5
New Jersey   Salem Co.          8,099      65,167       12.4%  Urban                52         6.4
New Jersey   Somerset Co.       9,828     348,319        2.8%  Urban               140        14.2
New Jersey   Sussex Co.         3,886     145,638        2.7%  Urban                54        13.9
New Jersey   Union Co.         42,952     573,600        7.5%  Urban               362         8.4
New Jersey   Warren Co.         7,176     110,885        6.5%  Urban                62         8.6
New Mexico   Bernalillo       141,109     673,039         21%  Urban               436         3.1
              Co.
New Mexico   Catron Co.           269       3,793        7.1%  Rural                 7        26.0
New Mexico   Chaves Co.        17,482      63,907       27.4%  Rural                71         4.1  8Higher-
                                                                                                     risk0
New Mexico   Cibola Co.         8,280      26,771       30.9%  Rural                24         2.9  8Higher-
                                                                                                     risk0
New Mexico   Colfax Co.         3,028      12,289       24.6%  Rural                20         6.6  8Higher-
                                                                                                     risk0
New Mexico   Curry Co.         15,544      47,391       32.8%  Rural                53         3.4  8Higher-
                                                                                                     risk0
New Mexico   De Baca Co.          307       1,697       18.1%  Rural                 6        19.5
New Mexico   Dona Ana Co.      67,155     223,604         30%  Urban               154         2.3  8Higher-
                                                                                                     risk0
New Mexico   Eddy Co.          12,454      60,221       20.7%  Rural                56         4.5
New Mexico   Grant Co.          6,939      27,699       25.1%  Rural                22         3.2  8Higher-
                                                                                                     risk0
New Mexico   Guadalupe          1,271       4,324       29.4%  Rural                14        11.0
              Co.
New Mexico   Harding Co.           32         627        5.1%  Rural                 2        62.5
New Mexico   Hidalgo Co.        1,090       4,012       27.2%  Rural                10         9.2
New Mexico   Lea Co.           18,230      72,300       25.2%  Rural                83         4.6  8Higher-
                                                                                                     risk0
New Mexico   Lincoln Co.        4,109      20,339       20.2%  Rural                28         6.8
New Mexico   Los Alamos           278      19,259        1.4%  Rural                 8        28.8
              Co.
New Mexico   Luna Co.          10,664      25,677       41.5%  Rural                27         2.5  8Higher-
                                                                                                     risk0
New Mexico   McKinley Co.      26,370      70,084       37.6%  Rural                77         2.9  8Higher-
                                                                                                     risk0
New Mexico   Mora Co.             691       4,142       16.7%  Rural                 5         7.2
New Mexico   Otero Co.         12,719      68,650       18.5%  Rural                47         3.7
New Mexico   Quay Co.           2,630       8,536       30.8%  Rural                16         6.1  8Higher-
                                                                                                     risk0
New Mexico   Rio Arriba        12,898      39,986       32.3%  Rural                42         3.3  8Higher-
              Co.                                                                                    risk0
New Mexico   Roosevelt          2,606      18,896       13.8%  Rural                16         6.1
              Co.
New Mexico   Sandoval Co.      23,710     153,509       15.4%  Urban                77         3.2
New Mexico   San Juan Co.      34,265     120,580       28.4%  Urban               125         3.6  8Higher-
                                                                                                     risk0
New Mexico   San Miguel         8,309      26,899       30.9%  Rural                31         3.7  8Higher-
              Co.                                                                                    risk0
New Mexico   Santa Fe Co.      20,885     155,768       13.4%  Urban                82         3.9
New Mexico   Sierra Co.         4,627      11,485       40.3%  Rural                18         3.9  8Higher-
                                                                                                     risk0
New Mexico   Socorro Co.        5,199      16,142       32.2%  Rural                20         3.8  8Higher-
                                                                                                     risk0
New Mexico   Taos Co.           7,930      34,594       22.9%  Rural                37         4.7  8Higher-
                                                                                                     risk0
New Mexico   Torrance Co.       6,077      15,398       39.5%  Urban                20         3.3  8Higher-
                                                                                                     risk0
New Mexico   Union Co.            224       3,996        5.6%  Rural                 7        31.3
New Mexico   Valencia Co.      18,808      78,254         24%  Urban                58         3.1  8Higher-
                                                                                                     risk0
New York     Albany Co.        34,556     316,287       10.9%  Urban               281         8.1
New York     Allegany Co.       5,587      46,850       11.9%  Rural                52         9.3
New York     Bronx Co.        490,283   1,384,189       35.4%  Urban             2,003         4.1  8Higher-
                                                                                                     risk0
New York     Broome Co.        26,571     197,340       13.5%  Urban               216         8.1
New York     Cattaraugus       10,959      76,036       14.4%  Rural                62         5.7
              Co.
New York     Cayuga Co.         9,215      74,758       12.3%  Rural                57         6.2
New York     Chautauqua        23,926     125,310       19.1%  Rural               128         5.3
              Co.
New York     Chemung Co.       14,109      81,598       17.3%  Urban                98         6.9
New York     Chenango Co.       6,261      46,301       13.5%  Rural                65        10.4
New York     Clinton Co.       11,191      77,978       14.4%  Rural                85         7.6
New York     Columbia Co.       5,546      61,187        9.1%  Rural                82        14.8
New York     Cortland Co.       5,933      46,133       12.9%  Rural                52         8.8
New York     Delaware Co.       4,559      44,769       10.2%  Rural                58        12.7
New York     Dutchess Co.      18,040     298,186          6%  Urban               168         9.3
New York     Erie Co.         147,427     948,745       15.5%  Urban               905         6.1
New York     Essex Co.          3,268      36,788        8.9%  Rural                47        14.4
New York     Franklin Co.       6,693      46,072       14.5%  Rural                52         7.8
New York     Fulton Co.         8,027      52,245       15.4%  Rural                48         6.0
New York     Genesee Co.        4,785      57,482        8.3%  Rural                52        10.9
New York     Greene Co.         4,504      47,388        9.5%  Rural                54        12.0
New York     Hamilton Co.         266       5,108        5.2%  Rural                 5        18.8
New York     Herkimer Co.       8,897      59,576       14.9%  Urban                63         7.1
New York     Jefferson         14,808     115,487       12.8%  Urban               127         8.6
              Co.
New York     Kings Co.        606,214   2,596,607       23.3%  Urban             3,284         5.4  8Higher-
                                                                                                     risk0
New York     Lewis Co.          2,915      26,602         11%  Rural                32        11.0
New York     Livingston         5,731      61,385        9.3%  Urban                45         7.9
              Co.
New York     Madison Co.        6,585      67,062        9.8%  Urban                68        10.3
New York     Monroe Co.       109,665     751,827       14.6%  Urban               611         5.6
New York     Montgomery         7,934      49,434         16%  Rural                64         8.1
              Co.
New York     Nassau Co.        41,019   1,386,825          3%  Urban               630        15.4
New York     New York Co.     240,581   1,597,103       15.1%  Urban             1,308         5.4
New York     Niagara Co.       26,650     210,466       12.7%  Urban               193         7.2
New York     Oneida Co.        38,703     228,502       16.9%  Urban               271         7.0
New York     Onondaga Co.      68,796     470,432       14.6%  Urban               455         6.6
New York     Ontario Co.        9,350     112,509        8.3%  Urban                82         8.8
New York     Orange Co.        40,035     406,677        9.8%  Urban               273         6.8
New York     Orleans Co.        5,350      39,329       13.6%  Urban                33         6.2
New York     Oswego Co.        18,184     118,110       15.4%  Urban               109         6.0
New York     Otsego Co.         5,864      60,408        9.7%  Rural                76        13.0
New York     Putnam Co.         2,487      98,274        2.5%  Urban                33        13.3
New York     Queens Co.       331,319   2,285,640       14.5%  Urban             1,908         5.8
New York     Rensselaer        15,022     159,530        9.4%  Urban               148         9.9
              Co.
New York     Richmond Co.      70,240     492,640       14.3%  Urban               359         5.1
New York     Rockland Co.      43,843     340,756       12.9%  Urban               159         3.6
New York     St. Lawrence      14,049     107,043       13.1%  Rural               125         8.9
              Co.
New York     Saratoga Co.      13,847     238,491        5.8%  Urban               163        11.8
New York     Schenectady       22,196     159,846       13.9%  Urban               166         7.5
              Co.
New York     Schoharie          3,671      30,062       12.2%  Urban                34         9.3
              Co.
New York     Schuyler Co.       2,077      17,591       11.8%  Rural                19         9.1
New York     Seneca Co.         3,647      32,610       11.2%  Rural                36         9.9
New York     Steuben Co.       11,459      92,420       12.4%  Rural               101         8.8
New York     Suffolk Co.      108,364   1,529,565        7.1%  Urban               758         7.0
New York     Sullivan Co.      13,347      79,768       16.7%  Rural               121         9.1
New York     Tioga Co.          5,285      47,708       11.1%  Urban                39         7.4
New York     Tompkins Co.       7,694     105,827        7.3%  Urban                82        10.7
New York     Ulster Co.        18,039     182,357        9.9%  Urban               154         8.5
New York     Warren Co.         6,726      65,448       10.3%  Urban                75        11.2
New York     Washington         6,556      60,764       10.8%  Urban                61         9.3
              Co.
New York     Wayne Co.          8,539      90,831        9.4%  Urban                79         9.3
New York     Westchester       77,237     993,488        7.8%  Urban               567         7.3
              Co.
New York     Wyoming Co.        2,513      39,528        6.4%  Rural                33        13.1
New York     Yates Co.          2,080      24,469        8.5%  Rural                23        11.1
North        Alamance Co.      26,993     176,544       15.3%  Urban               164         6.1
 Carolina
North        Alexander          5,085      36,237         14%  Urban                31         6.1
 Carolina     Co.
North        Alleghany          1,767      11,187       15.8%  Rural                12         6.8
 Carolina     Co.
North        Anson Co.          6,825      22,346       30.5%  Urban                34         5.0  8Higher-
 Carolina                                                                                            risk0
North        Ashe Co.           4,373      27,062       16.2%  Rural                20         4.6
 Carolina
North        Avery Co.          2,036      17,550       11.6%  Rural                14         6.9
 Carolina
North        Beaufort Co.       9,809      44,356       22.1%  Rural                57         5.8
 Carolina
North        Bertie Co.         4,768      16,947       28.1%  Rural                26         5.5  8Higher-
 Carolina                                                                                            risk0
North        Bladen Co.         7,969      29,365       27.1%  Rural                45         5.6  8Higher-
 Carolina                                                                                            risk0
North        Brunswick         15,744     152,836       10.3%  Urban               139         8.8
 Carolina     Co.
North        Buncombe Co.      32,097     274,112       11.7%  Urban               198         6.2
 Carolina
North        Burke Co.         12,977      87,732       14.8%  Urban                99         7.6
 Carolina
North        Cabarrus Co.      25,878     236,078         11%  Urban               161         6.2
 Carolina
North        Caldwell Co.      13,755      80,259       17.1%  Urban                84         6.1
 Carolina
North        Camden Co.           960      11,089        8.7%  Urban                 8         8.3
 Carolina
North        Carteret Co.       7,124      69,369       10.3%  Rural                72        10.1
 Carolina
North        Caswell Co.        4,518      22,219       20.3%  Rural                25         5.5
 Carolina
North        Catawba Co.       23,481     163,286       14.4%  Urban               176         7.5
 Carolina
North        Chatham Co.        5,349      80,080        6.7%  Urban                49         9.2
 Carolina
North        Cherokee Co.       4,911      29,431       16.7%  Rural                30         6.1
 Carolina
North        Chowan Co.         2,785      13,921         20%  Rural                17         6.1
 Carolina
North        Clay Co.           1,659      11,610       14.3%  Rural                11         6.6
 Carolina
North        Cleveland         24,030     100,771       23.8%  Rural               139         5.8  8Higher-
 Carolina     Co.                                                                                    risk0
North        Columbus Co.      12,892      50,027       25.8%  Rural                83         6.4  8Higher-
 Carolina                                                                                            risk0
North        Craven Co.        15,184     102,392       14.8%  Rural               106         7.0
 Carolina
North        Cumberland        81,238     339,068         24%  Urban               318         3.9  8Higher-
 Carolina     Co.                                                                                    risk0
North        Currituck          2,152      31,011        6.9%  Urban                28        13.0
 Carolina     Co.
North        Dare Co.           2,748      38,047        7.2%  Rural                48        17.5
 Carolina
North        Davidson Co.      28,081     172,443       16.3%  Urban               162         5.8
 Carolina
North        Davie Co.          5,227      44,087       11.9%  Urban                51         9.8
 Carolina
North        Duplin Co.         9,721      49,072       19.8%  Rural                70         7.2
 Carolina
North        Durham Co.        38,433     331,568       11.6%  Urban               204         5.3
 Carolina
North        Edgecombe         16,600      48,481       34.2%  Urban                71         4.3  8Higher-
 Carolina     Co.                                                                                    risk0
North        Forsyth Co.       63,378     389,519       16.3%  Urban               346         5.5
 Carolina
North        Franklin Co.      10,172      74,326       13.7%  Urban                56         5.5
 Carolina
North        Gaston Co.        40,454     234,208       17.3%  Urban               212         5.2
 Carolina
North        Gates Co.          1,674      10,373       16.1%  Urban                 8         4.8
 Carolina
North        Graham Co.         1,623       8,052       20.2%  Rural                 6         3.7
 Carolina
North        Granville          8,047      60,867       13.2%  Rural                60         7.5
 Carolina     Co.
North        Greene Co.         4,376      20,415       21.4%  Rural                20         4.6
 Carolina
North        Guilford Co.      98,200     547,195       17.9%  Urban               514         5.2
 Carolina
North        Halifax Co.       15,773      47,623       33.1%  Rural                90         5.7  8Higher-
 Carolina                                                                                            risk0
North        Harnett Co.       21,668     138,583       15.6%  Rural                99         4.6
 Carolina
North        Haywood Co.        9,129      62,595       14.6%  Rural                47         5.1
 Carolina
North        Henderson         10,864     118,336        9.2%  Urban                76         7.0
 Carolina     Co.
North        Hertford Co.       6,078      19,525       31.1%  Rural                34         5.6  8Higher-
 Carolina                                                                                            risk0
North        Hoke Co.          10,693      53,759       19.9%  Urban                44         4.1
 Carolina
North        Hyde Co.             958       4,616       20.8%  Rural                 5         5.2
 Carolina
North        Iredell Co.       15,517     196,129        7.9%  Urban               146         9.4
 Carolina
North        Jackson Co.        5,143      43,880       11.7%  Rural                34         6.6
 Carolina
North        Johnston Co.      29,344     234,762       12.5%  Urban               157         5.4
 Carolina
North        Jones Co.          2,090       9,243       22.6%  Rural                 8         3.8  8Higher-
 Carolina                                                                                            risk0
North        Lee Co.            9,766      65,687       14.9%  Rural                78         8.0
 Carolina
North        Lenoir Co.        14,975      54,529       27.5%  Rural                76         5.1  8Higher-
 Carolina                                                                                            risk0
North        Lincoln Co.       10,683      93,103       11.5%  Urban                79         7.4
 Carolina
North        McDowell Co.       8,769      44,759       19.6%  Rural                53         6.0
 Carolina
North        Macon Co.          4,631      37,996       12.2%  Rural                37         8.0
 Carolina
North        Madison Co.        3,354      21,912       15.3%  Urban                17         5.1
 Carolina
North        Martin Co.         5,280      21,502       24.6%  Rural                29         5.5  8Higher-
 Carolina                                                                                            risk0
North        Mecklenburg      146,750   1,149,349       12.8%  Urban               718         4.9
 Carolina     Co.
North        Mitchell Co.       2,620      15,051       17.4%  Rural                16         6.1
 Carolina
North        Montgomery         4,461      25,884       17.2%  Rural                34         7.6
 Carolina     Co.
North        Moore Co.         10,768     105,548       10.2%  Urban                92         8.5
 Carolina
North        Nash Co.          18,720      95,922       19.5%  Urban               127         6.8
 Carolina
North        New Hanover       27,123     236,147       11.5%  Urban               209         7.7
 Carolina     Co.
North        Northampton        4,986      16,806       29.7%  Rural                30         6.0  8Higher-
 Carolina     Co.                                                                                    risk0
North        Onslow Co.        23,977     206,718       11.6%  Urban               139         5.8
 Carolina
North        Orange Co.        11,120     150,744        7.4%  Urban                86         7.7
 Carolina
North        Pamlico Co.        1,947      12,269       15.9%  Rural                14         7.2
 Carolina
North        Pasquotank         8,301      40,818       20.3%  Rural                44         5.3
 Carolina     Co.
North        Pender Co.         8,291      65,697       12.6%  Urban                60         7.2
 Carolina
North        Perquimans         2,443      13,243       18.4%  Rural                20         8.2
 Carolina     Co.
North        Person Co.         7,345      39,396       18.6%  Urban                42         5.7
 Carolina
North        Pitt Co.          37,375     177,090       21.1%  Urban               190         5.1
 Carolina
North        Polk Co.           2,390      20,006       11.9%  Rural                18         7.5
 Carolina
North        Randolph Co.      24,316     146,174       16.6%  Urban               134         5.5
 Carolina
North        Richmond Co.      14,994      42,360       35.4%  Rural                77         5.1  8Higher-
 Carolina                                                                                            risk0
North        Robeson Co.       44,708     116,313       38.4%  Rural               205         4.6  8Higher-
 Carolina                                                                                            risk0
North        Rockingham        18,131      92,044       19.7%  Urban               118         6.5
 Carolina     Co.
North        Rowan Co.         22,876     149,514       15.3%  Urban               127         5.6
 Carolina
North        Rutherford        14,010      64,829       21.6%  Rural                74         5.3
 Carolina     Co.
North        Sampson Co.       12,935      59,096       21.9%  Rural                60         4.6
 Carolina
North        Scotland Co.      11,325      33,548       33.8%  Rural                57         5.0  8Higher-
 Carolina                                                                                            risk0
North        Stanly Co.         9,538      64,285       14.8%  Rural                72         7.5
 Carolina
North        Stokes Co.         6,550      45,137       14.5%  Urban                45         6.9
 Carolina
North        Surry Co.         12,523      71,489       17.5%  Rural                99         7.9
 Carolina
North        Swain Co.          2,281      13,968       16.3%  Rural                16         7.0
 Carolina
North        Transylvania       4,016      33,668       11.9%  Rural                29         7.2
 Carolina     Co.
North        Tyrrell Co.          677       3,469       19.5%  Rural                 6         8.9
 Carolina
North        Union Co.         19,786     249,714        7.9%  Urban               144         7.3
 Carolina
North        Vance Co.         14,312      42,258       33.9%  Rural                70         4.9  8Higher-
 Carolina                                                                                            risk0
North        Wake Co.          90,918   1,174,107        7.7%  Urban               662         7.3
 Carolina
North        Warren Co.         4,476      18,700       23.9%  Rural                29         6.5  8Higher-
 Carolina                                                                                            risk0
North        Washington         3,174      10,798       29.4%  Rural                18         5.7  8Higher-
 Carolina     Co.                                                                                    risk0
North        Watauga Co.        2,640      55,404        4.8%  Rural                44        16.7
 Carolina
North        Wayne Co.         24,575     118,185       20.8%  Urban               129         5.2
 Carolina
North        Wilkes Co.        12,700      65,801       19.3%  Rural                86         6.8
 Carolina
North        Wilson Co.        17,111      78,838       21.7%  Rural               114         6.7
 Carolina
North        Yadkin Co.         5,092      37,539       13.6%  Urban                37         7.3
 Carolina
North        Yancey Co.         3,023      18,790       16.1%  Rural                12         4.0
 Carolina
North        Adams Co.            117       2,106        5.6%  Rural                 3        25.6
 Dakota
North        Barnes Co.           609      10,743        5.7%  Rural                 7        11.5
 Dakota
North        Benson Co.         1,519       5,794       26.2%  Rural                 7         4.6  8Higher-
 Dakota                                                                                              risk0
North        Billings Co.          35       1,022        3.4%  Rural                 0         0.0
 Dakota
North        Bottineau            432       6,372        6.8%  Rural                 5        11.6
 Dakota       Co.
North        Bowman Co.           121       2,892        4.2%  Rural                 5        41.3
 Dakota
North        Burke Co.             51       2,133        2.4%  Rural                 1        19.6
 Dakota
North        Burleigh Co.       3,997     100,436          4%  Urban                46        11.5
 Dakota
North        Cass Co.           9,906     193,670        5.1%  Urban               111        11.2
 Dakota
North        Cavalier Co.         142       3,616        3.9%  Rural                 2        14.1
 Dakota
North        Dickey Co.           221       4,941        4.5%  Rural                 6        27.1
 Dakota
North        Divide Co.            73       2,174        3.4%  Rural                 2        27.4
 Dakota
North        Dunn Co.             170       4,005        4.2%  Rural                 3        17.6
 Dakota
North        Eddy Co.             230       2,311         10%  Rural                 3        13.0
 Dakota
North        Emmons Co.           171       3,267        5.2%  Rural                 6        35.1
 Dakota
North        Foster Co.           193       3,377        5.7%  Rural                 4        20.7
 Dakota
North        Golden                62       1,746        3.6%  Rural                 3        48.4
 Dakota       Valley Co.
North        Grand Forks        3,959      72,103        5.5%  Urban                58        14.7
 Dakota       Co.
North        Grant Co.            163       2,248        7.3%  Rural                 5        30.7
 Dakota
North        Griggs Co.           127       2,268        5.6%  Rural                 5        39.4
 Dakota
North        Hettinger            141       2,425        5.8%  Rural                 4        28.4
 Dakota       Co.
North        Kidder Co.           116       2,396        4.8%  Rural                 3        25.9
 Dakota
North        LaMoure Co.           94       4,061        2.3%  Rural                 4        42.6
 Dakota
North        Logan Co.             68       1,849        3.7%  Rural                 2        29.4
 Dakota
North        McHenry Co.          359       5,208        6.9%  Urban                 7        19.5
 Dakota
North        McIntosh Co.         130       2,503        5.2%  Rural                 4        30.8
 Dakota
North        McKenzie Co.         412      13,905          3%  Rural                12        29.1
 Dakota
North        McLean Co.           290       9,851        2.9%  Rural                 7        24.1
 Dakota
North        Mercer Co.           284       8,333        3.4%  Rural                 6        21.1
 Dakota
North        Morton Co.         2,124      33,741        6.3%  Urban                18         8.5
 Dakota
North        Mountrail            408       9,255        4.4%  Rural                15        36.8
 Dakota       Co.
North        Nelson Co.           159       3,011        5.3%  Rural                 4        25.2
 Dakota
North        Oliver Co.            58       1,858        3.1%  Urban                 3        51.7
 Dakota
North        Pembina Co.          300       6,764        4.4%  Rural                 7        23.3
 Dakota
North        Pierce Co.           215       3,944        5.5%  Rural                 3        14.0
 Dakota
North        Ramsey Co.         1,006      11,552        8.7%  Rural                10         9.9
 Dakota
North        Ransom Co.           207       5,648        3.7%  Rural                 5        24.2
 Dakota
North        Renville Co.          73       2,267        3.2%  Urban                 4        54.8
 Dakota
North        Richland Co.         924      16,577        5.6%  Rural                17        18.4
 Dakota
North        Rolette Co.        3,477      11,889       29.2%  Rural                17         4.9  8Higher-
 Dakota                                                                                              risk0
North        Sargent Co.          171       3,823        4.5%  Rural                 5        29.2
 Dakota
North        Sheridan Co.          82       1,285        6.4%  Rural                 1        12.2
 Dakota
North        Sioux Co.          1,177       3,697       31.8%  Rural                 4         3.4  8Higher-
 Dakota                                                                                              risk0
North        Slope Co.             39         684        5.7%  Rural                 0         0.0
 Dakota
North        Stark Co.          1,891      32,762        5.8%  Rural                16         8.5
 Dakota
North        Steele Co.            96       1,782        5.4%  Rural                 3        31.3
 Dakota
North        Stutsman Co.       1,290      21,518          6%  Rural                15        11.6
 Dakota
North        Towner Co.           135       2,060        6.6%  Rural                 3        22.2
 Dakota
North        Traill Co.           339       7,958        4.3%  Rural                 8        23.6
 Dakota
North        Walsh Co.            714      10,468        6.8%  Rural                 9        12.6
 Dakota
North        Ward Co.           4,485      68,831        6.5%  Urban                45        10.0
 Dakota
North        Wells Co.            302       3,916        7.7%  Rural                 5        16.6
 Dakota
North        Williams Co.       1,321      38,012        3.5%  Rural                23        17.4
 Dakota
Ohio         Adams Co.          5,605      27,449       20.4%  Rural                31         5.5
Ohio         Allen Co.         12,430     101,086       12.3%  Urban               113         9.1
Ohio         Ashland Co.        3,928      52,010        7.6%  Rural                42        10.7
Ohio         Ashtabula         17,221      96,987       17.8%  Urban               110         6.4
              Co.
Ohio         Athens Co.         8,813      61,029       14.4%  Rural                61         6.9
Ohio         Auglaize Co.       2,791      45,949        6.1%  Rural                32        11.5
Ohio         Belmont Co.        8,186      65,495       12.5%  Urban                64         7.8
Ohio         Brown Co.          5,960      43,707       13.6%  Urban                44         7.4
Ohio         Butler Co.        39,943     390,689       10.2%  Urban               306         7.7
Ohio         Carroll Co.        2,778      26,677       10.4%  Urban                18         6.5
Ohio         Champaign          3,934      38,712       10.2%  Rural                25         6.4
              Co.
Ohio         Clark Co.         22,572     134,686       16.8%  Urban               123         5.4
Ohio         Clermont Co.      14,272     210,906        6.8%  Urban               145        10.2
Ohio         Clinton Co.        5,164      41,902       12.3%  Rural                40         7.7
Ohio         Columbiana        13,973     100,537       13.9%  Rural               114         8.2
              Co.
Ohio         Coshocton          5,450      36,583       14.9%  Rural                27         5.0
              Co.
Ohio         Crawford Co.       6,368      41,532       15.3%  Rural                42         6.6
Ohio         Cuyahoga Co.     208,105   1,239,720       16.8%  Urban             1,125         5.4
Ohio         Darke Co.          4,032      51,526        7.8%  Rural                36         8.9
Ohio         Defiance Co.       3,825      38,183         10%  Rural                33         8.6
Ohio         Delaware Co.       5,991     227,008        2.6%  Urban                99        16.5
Ohio         Erie Co.           9,117      74,563       12.2%  Urban                75         8.2
Ohio         Fairfield         14,673     163,166          9%  Urban                96         6.5
              Co.
Ohio         Fayette Co.        4,210      28,856       14.6%  Rural                34         8.1
Ohio         Franklin Co.     162,610   1,327,687       12.2%  Urban             1,049         6.5
Ohio         Fulton Co.         2,920      42,083        6.9%  Urban                31        10.6
Ohio         Gallia Co.         5,986      29,014       20.6%  Rural                40         6.7
Ohio         Geauga Co.         2,623      95,552        2.7%  Urban                64        24.4
Ohio         Greene Co.        12,667     169,380        7.5%  Urban               109         8.6
Ohio         Guernsey Co.       5,709      38,069         15%  Rural                39         6.8
Ohio         Hamilton Co.     105,524     826,970       12.8%  Urban               663         6.3
Ohio         Hancock Co.        5,764      74,793        7.7%  Rural                57         9.9
Ohio         Hardin Co.         3,415      30,400       11.2%  Rural                29         8.5
Ohio         Harrison Co.       2,032      14,351       14.2%  Rural                16         7.9
Ohio         Henry Co.          1,387      27,517          5%  Rural                25        18.0
Ohio         Highland Co.       6,277      43,396       14.5%  Rural                48         7.6
Ohio         Hocking Co.        5,453      27,843       19.6%  Urban                24         4.4
Ohio         Holmes Co.         1,012      44,380        2.3%  Rural                26        25.7
Ohio         Huron Co.          7,243      58,256       12.4%  Rural                65         9.0
Ohio         Jackson Co.        6,283      32,634       19.3%  Rural                43         6.8
Ohio         Jefferson         11,954      64,286       18.6%  Urban                68         5.7
              Co.
Ohio         Knox Co.           5,327      63,186        8.4%  Rural                39         7.3
Ohio         Lake Co.          16,294     231,968          7%  Urban               186        11.4
Ohio         Lawrence Co.      12,196      56,571       21.6%  Urban                63         5.2
Ohio         Licking Co.       17,287     181,899        9.5%  Urban               135         7.8
Ohio         Logan Co.          4,861      46,040       10.6%  Rural                48         9.9
Ohio         Lorain Co.        34,993     316,616       11.1%  Urban               243         6.9
Ohio         Lucas Co.         67,195     427,154       15.7%  Urban               417         6.2
Ohio         Madison Co.        4,031      43,613        9.2%  Urban                34         8.4
Ohio         Mahoning Co.      43,488     226,104       19.2%  Urban               224         5.2
Ohio         Marion Co.        10,484      64,576       16.2%  Rural                62         5.9
Ohio         Medina Co.         9,044     183,520        4.9%  Urban               117        12.9
Ohio         Meigs Co.          4,497      21,971       20.5%  Rural                28         6.2
Ohio         Mercer Co.         1,804      42,403        4.3%  Rural                29        16.1
Ohio         Miami Co.          8,872     110,245          8%  Urban                79         8.9
Ohio         Monroe Co.         1,679      13,225       12.7%  Rural                17        10.1
Ohio         Montgomery        79,438     534,355       14.9%  Urban               467         5.9
              Co.
Ohio         Morgan Co.         2,102      13,648       15.4%  Rural                11         5.2
Ohio         Morrow Co.         2,976      35,317        8.4%  Urban                28         9.4
Ohio         Muskingum         14,802      86,114       17.2%  Rural                92         6.2
              Co.
Ohio         Noble Co.          1,329      14,364        9.3%  Rural                12         9.0
Ohio         Ottawa Co.         3,077      39,984        7.7%  Urban                34        11.0
Ohio         Paulding Co.       1,912      18,763       10.2%  Rural                18         9.4
Ohio         Perry Co.          6,075      35,483       17.1%  Urban                36         5.9
Ohio         Pickaway Co.       6,473      59,987       10.8%  Urban                41         6.3
Ohio         Pike Co.           6,845      26,991       25.4%  Rural                44         6.4  8Higher-
                                                                                                     risk0
Ohio         Portage Co.       14,155     161,924        8.7%  Urban               131         9.3
Ohio         Preble Co.         3,681      40,557        9.1%  Rural                37        10.1
Ohio         Putnam Co.         1,752      34,331        5.1%  Rural                19        10.8
Ohio         Richland Co.      18,785     125,268         15%  Urban               126         6.7
Ohio         Ross Co.          12,374      76,479       16.2%  Rural                75         6.1
Ohio         Sandusky Co.       5,495      58,591        9.4%  Rural                55        10.0
Ohio         Scioto Co.        18,383      72,312       25.4%  Rural                88         4.8  8Higher-
                                                                                                     risk0
Ohio         Seneca Co.         6,293      54,563       11.5%  Rural                53         8.4
Ohio         Shelby Co.         3,822      47,723          8%  Rural                39        10.2
Ohio         Stark Co.         47,512     373,008       12.7%  Urban               316         6.7
Ohio         Summit Co.        76,084     536,582       14.2%  Urban               473         6.2
Ohio         Trumbull Co.      31,445     200,716       15.7%  Urban               209         6.6
Ohio         Tuscarawas         9,479      92,030       10.3%  Rural               101        10.7
              Co.
Ohio         Union Co.          2,724      66,927        4.1%  Urban                31        11.4
Ohio         Van Wert Co.       2,428      28,806        8.4%  Rural                21         8.6
Ohio         Vinton Co.         3,146      12,585         25%  Rural                15         4.8  8Higher-
                                                                                                     risk0
Ohio         Warren Co.         9,526     250,298        3.8%  Urban               130        13.6
Ohio         Washington         7,447      58,883       12.6%  Rural                69         9.3
              Co.
Ohio         Wayne Co.          9,048     116,609        7.8%  Rural                87         9.6
Ohio         Williams Co.       3,346      36,621        9.1%  Rural                38        11.4
Ohio         Wood Co.           6,683     131,821        5.1%  Urban                89        13.3
Ohio         Wyandot Co.        1,741      21,574        8.1%  Rural                21        12.1
Oklahoma     Adair Co.          5,965      19,513       30.6%  Rural                26         4.4  8Higher-
                                                                                                     risk0
Oklahoma     Alfalfa Co.          528       5,697        9.3%  Rural                 6        11.4
Oklahoma     Atoka Co.          2,482      14,311       17.3%  Rural                20         8.1
Oklahoma     Beaver Co.           443       5,044        8.8%  Rural                 4         9.0
Oklahoma     Beckham Co.        4,198      21,990       19.1%  Rural                35         8.3
Oklahoma     Blaine Co.         1,679       8,477       19.8%  Rural                19        11.3
Oklahoma     Bryan Co.          7,538      48,229       15.6%  Rural                51         6.8
Oklahoma     Caddo Co.          5,751      26,282       21.9%  Rural                39         6.8
Oklahoma     Canadian Co.      13,207     169,507        7.8%  Urban               105         8.0
Oklahoma     Carter Co.         9,831      48,488       20.3%  Rural                76         7.7
Oklahoma     Cherokee Co.       8,490      48,058       17.7%  Rural                56         6.6
Oklahoma     Choctaw Co.        4,151      14,416       28.8%  Rural                21         5.1  8Higher-
                                                                                                     risk0
Oklahoma     Cimarron Co.         245       2,229         11%  Rural                 5        20.4
Oklahoma     Cleveland         29,600     299,950        9.9%  Urban               184         6.2
              Co.
Oklahoma     Coal Co.           1,056       5,309       19.9%  Rural                10         9.5
Oklahoma     Comanche Co.      22,255     122,390       18.2%  Urban               120         5.4
Oklahoma     Cotton Co.         1,014       5,473       18.5%  Urban                11        10.8
Oklahoma     Craig Co.          2,595      14,180       18.3%  Rural                19         7.3
Oklahoma     Creek Co.         12,294      72,698       16.9%  Urban                62         5.0
Oklahoma     Custer Co.         4,284      28,075       15.3%  Rural                35         8.2
Oklahoma     Delaware Co.       6,422      41,491       15.5%  Rural                47         7.3
Oklahoma     Dewey Co.            555       4,387       12.7%  Rural                 8        14.4
Oklahoma     Ellis Co.            396       3,693       10.7%  Rural                 6        15.2
Oklahoma     Garfield Co.      10,107      61,990       16.3%  Urban                77         7.6
Oklahoma     Garvin Co.         5,361      25,793       20.8%  Rural                39         7.3
Oklahoma     Grady Co.          6,924      56,700       12.2%  Urban                56         8.1
Oklahoma     Grant Co.            453       4,124         11%  Rural                 4         8.8
Oklahoma     Greer Co.          1,147       5,548       20.7%  Rural                 7         6.1
Oklahoma     Harmon Co.           663       2,428       27.3%  Rural                 5         7.5  8Higher-
                                                                                                     risk0
Oklahoma     Harper Co.           304       3,176        9.6%  Rural                 6        19.7
Oklahoma     Haskell Co.        2,962      11,644       25.4%  Rural                22         7.4  8Higher-
                                                                                                     risk0
Oklahoma     Hughes Co.         2,919      13,421       21.7%  Rural                22         7.5
Oklahoma     Jackson Co.        4,274      24,671       17.3%  Rural                28         6.6
Oklahoma     Jefferson          1,502       5,428       27.7%  Rural                11         7.3  8Higher-
              Co.                                                                                    risk0
Oklahoma     Johnston Co.       2,372      10,328         23%  Rural                17         7.2  8Higher-
                                                                                                     risk0
Oklahoma     Kay Co.            9,485      43,726       21.7%  Rural                52         5.5
Oklahoma     Kingfisher         1,491      15,313        9.7%  Rural                15        10.1
              Co.
Oklahoma     Kiowa Co.          2,149       8,437       25.5%  Rural                17         7.9  8Higher-
                                                                                                     risk0
Oklahoma     Latimer Co.        2,612       9,580       27.3%  Rural                17         6.5  8Higher-
                                                                                                     risk0
Oklahoma     Le Flore Co.      11,088      49,004       22.6%  Rural                67         6.0  8Higher-
                                                                                                     risk0
Oklahoma     Lincoln Co.        5,590      34,153       16.4%  Urban                42         7.5
Oklahoma     Logan Co.          4,433      52,029        8.5%  Urban                45        10.2
Oklahoma     Love Co.           1,616      10,184       15.9%  Rural                12         7.4
Oklahoma     McClain Co.        5,052      45,422       11.1%  Urban                41         8.1
Oklahoma     McCurtain          8,252      30,892       26.7%  Rural                57         6.9  8Higher-
              Co.                                                                                    risk0
Oklahoma     McIntosh Co.       4,493      19,419       23.1%  Rural                31         6.9  8Higher-
                                                                                                     risk0
Oklahoma     Major Co.            807       7,558       10.7%  Rural                10        12.4
Oklahoma     Marshall Co.       2,697      15,947       16.9%  Rural                23         8.5
Oklahoma     Mayes Co.          7,514      39,593         19%  Rural                54         7.2
Oklahoma     Murray Co.         2,010      13,677       14.7%  Rural                15         7.5
Oklahoma     Muskogee Co.      16,693      66,293       25.2%  Rural                91         5.5  8Higher-
                                                                                                     risk0
Oklahoma     Noble Co.          1,359      10,861       12.5%  Rural                15        11.0
Oklahoma     Nowata Co.         1,768       9,447       18.7%  Rural                16         9.0
Oklahoma     Okfuskee Co.       2,511      11,230       22.4%  Rural                14         5.6
Oklahoma     Oklahoma Co.     167,747     805,165       20.8%  Urban               723         4.3
Oklahoma     Okmulgee Co.       8,700      36,937       23.6%  Urban                46         5.3  8Higher-
                                                                                                     risk0
Oklahoma     Osage Co.          3,288      45,799        7.2%  Urban                41        12.5
Oklahoma     Ottawa Co.         7,521      30,366       24.8%  Rural                36         4.8  8Higher-
                                                                                                     risk0
Oklahoma     Pawnee Co.         2,964      15,695       18.9%  Urban                19         6.4
Oklahoma     Payne Co.          9,808      83,029       11.8%  Rural                68         6.9
Oklahoma     Pittsburg          8,446      43,517       19.4%  Rural                66         7.8
              Co.
Oklahoma     Pontotoc Co.       7,260      38,074       19.1%  Rural                40         5.5
Oklahoma     Pottawatomie      14,758      73,403       20.1%  Rural                85         5.8
              Co.
Oklahoma     Pushmataha         2,377      10,728       22.2%  Rural                16         6.7
              Co.
Oklahoma     Roger Mills          422       3,366       12.5%  Rural                 3         7.1
              Co.
Oklahoma     Rogers Co.         9,431      99,103        9.5%  Urban                63         6.7
Oklahoma     Seminole Co.       6,042      23,484       25.7%  Rural                30         5.0  8Higher-
                                                                                                     risk0
Oklahoma     Sequoyah Co.      10,193      39,756       25.6%  Urban                51         5.0  8Higher-
                                                                                                     risk0
Oklahoma     Stephens Co.       8,097      43,674       18.5%  Rural                52         6.4
Oklahoma     Texas Co.          2,161      20,635       10.5%  Rural                19         8.8
Oklahoma     Tillman Co.        1,627       6,968       23.3%  Rural                12         7.4  8Higher-
                                                                                                     risk0
Oklahoma     Tulsa Co.        111,027     679,212       16.3%  Urban               524         4.7
Oklahoma     Wagoner Co.        8,215      86,755        9.5%  Urban                51         6.2
Oklahoma     Washington         8,558      53,289       16.1%  Rural                48         5.6
              Co.
Oklahoma     Washita Co.        2,011      10,715       18.8%  Rural                14         7.0
Oklahoma     Woods Co.            873       8,602       10.1%  Rural                10        11.5
Oklahoma     Woodward Co.       2,725      20,054       13.6%  Rural                24         8.8
Oregon       Baker Co.          3,897      16,933         23%  Rural                22         5.6  8Higher-
                                                                                                     risk0
Oregon       Benton Co.        11,252      97,406       11.6%  Urban                66         5.9
Oregon       Clackamas         48,407     423,217       11.4%  Urban               251         5.2
              Co.
Oregon       Clatsop Co.        7,150      41,595       17.2%  Rural                51         7.1
Oregon       Columbia Co.       9,079      53,589       16.9%  Urban                39         4.3
Oregon       Coos Co.          16,957      65,135         26%  Rural                67         4.0  8Higher-
                                                                                                     risk0
Oregon       Crook Co.          5,397      26,393       20.4%  Urban                19         3.5
Oregon       Curry Co.          5,249      23,614       22.2%  Rural                25         4.8
Oregon       Deschutes         24,089     206,491       11.7%  Urban               118         4.9
              Co.
Oregon       Douglas Co.       28,573     112,226       25.5%  Rural               153         5.4  8Higher-
                                                                                                     risk0
Oregon       Gilliam Co.          386       2,012       19.2%  Rural                 4        10.4
Oregon       Grant Co.          1,453       7,221       20.1%  Rural                13         8.9
Oregon       Harney Co.         1,731       7,537         23%  Rural                14         8.1  8Higher-
                                                                                                     risk0
Oregon       Hood River         2,947      24,028       12.3%  Rural                25         8.5
              Co.
Oregon       Jackson Co.       47,599     222,153       21.4%  Urban               190         4.0
Oregon       Jefferson          7,048      25,319       27.8%  Urban                27         3.8  8Higher-
              Co.                                                                                    risk0
Oregon       Josephine         24,973      87,786       28.4%  Urban                96         3.8  8Higher-
              Co.                                                                                    risk0
Oregon       Klamath Co.       20,025      70,404       28.4%  Rural                80         4.0  8Higher-
                                                                                                     risk0
Oregon       Lake Co.           1,949       8,365       23.3%  Rural                10         5.1  8Higher-
                                                                                                     risk0
Oregon       Lane Co.          74,726     386,187       19.3%  Urban               333         4.5
Oregon       Lincoln Co.       10,662      50,756         21%  Rural                64         6.0
Oregon       Linn Co.          29,129     130,516       22.3%  Urban               122         4.2
Oregon       Malheur Co.        8,742      31,868       27.4%  Rural                40         4.6  8Higher-
                                                                                                     risk0
Oregon       Marion Co.        69,381     349,388       19.9%  Urban               284         4.1
Oregon       Morrow Co.         2,399      12,257       19.6%  Rural                18         7.5
Oregon       Multnomah        142,603     795,960       17.9%  Urban               650         4.6
              Co.
Oregon       Polk Co.          15,327      89,986         17%  Urban                53         3.5
Oregon       Sherman Co.          475       1,953       24.3%  Rural                 9        18.9
Oregon       Tillamook          4,898      27,516       17.8%  Rural                38         7.8
              Co.
Oregon       Umatilla Co.      16,724      79,732         21%  Rural                86         5.1
Oregon       Union Co.          5,778      26,167       22.1%  Rural                31         5.4
Oregon       Wallowa Co.        1,115       7,647       14.6%  Rural                 8         7.2
Oregon       Wasco Co.          5,517      26,535       20.8%  Rural                33         6.0
Oregon       Washington        61,063     600,229       10.2%  Urban               315         5.2
              Co.
Oregon       Wheeler Co.          219       1,434       15.3%  Rural                 3        13.7
Oregon       Yamhill Co.       16,832     107,817       15.6%  Urban                78         4.6
Pennsylvani  Adams Co.          7,846     106,017        7.4%  Urban                67         8.5
 a
Pennsylvani  Allegheny        162,096   1,233,821       13.1%  Urban               955         5.9
 a            Co.
Pennsylvani  Armstrong         10,490      64,664       16.2%  Urban                58         5.5
 a            Co.
Pennsylvani  Beaver Co.        24,562     165,682       14.8%  Urban               145         5.9
 a
Pennsylvani  Bedford Co.        6,816      47,395       14.4%  Rural                51         7.5
 a
Pennsylvani  Berks Co.         59,589     432,281       13.8%  Urban               371         6.2
 a
Pennsylvani  Blair Co.         23,012     120,796       19.1%  Urban               121         5.3
 a
Pennsylvani  Bradford Co.       8,600      59,800       14.4%  Rural                79         9.2
 a
Pennsylvani  Bucks Co.         40,764     645,871        6.3%  Urban               361         8.9
 a
Pennsylvani  Butler Co.        15,269     197,422        7.7%  Urban               149         9.8
 a
Pennsylvani  Cambria Co.       25,333     131,432       19.3%  Urban               121         4.8
 a
Pennsylvani  Cameron Co.          962       4,406       21.8%  Rural                 5         5.2
 a
Pennsylvani  Carbon Co.         9,084      65,466       13.9%  Urban                48         5.3
 a
Pennsylvani  Centre Co.         8,145     157,992        5.2%  Urban                79         9.7
 a
Pennsylvani  Chester Co.       28,416     547,248        5.2%  Urban               255         9.0
 a
Pennsylvani  Clarion Co.        5,357      37,280       14.4%  Rural                43         8.0
 a
Pennsylvani  Clearfield        13,062      77,881       16.8%  Rural                74         5.7
 a            Co.
Pennsylvani  Clinton Co.        5,637      37,873       14.9%  Rural                33         5.9
 a
Pennsylvani  Columbia Co.       8,897      65,347       13.6%  Rural                63         7.1
 a
Pennsylvani  Crawford Co.      13,395      82,380       16.3%  Rural                81         6.0
 a
Pennsylvani  Cumberland        23,130     268,740        8.6%  Urban               186         8.0
 a            Co.
Pennsylvani  Dauphin Co.       51,368     289,049       17.8%  Urban               282         5.5
 a
Pennsylvani  Delaware Co.      76,753     577,040       13.3%  Urban               401         5.2
 a
Pennsylvani  Elk Co.            3,790      30,453       12.4%  Rural                30         7.9
 a
Pennsylvani  Erie Co.          55,717     269,112       20.7%  Urban               272         4.9
 a
Pennsylvani  Fayette Co.       30,484     125,622       24.3%  Urban               141         4.6  8Higher-
 a                                                                                                   risk0
Pennsylvani  Forest Co.           647       6,621        9.8%  Rural                 7        10.8
 a
Pennsylvani  Franklin Co.      18,032     157,017       11.5%  Urban               113         6.3
 a
Pennsylvani  Fulton Co.         2,016      14,557       13.8%  Rural                10         5.0
 a
Pennsylvani  Greene Co.         6,977      34,566       20.2%  Rural                36         5.2
 a
Pennsylvani  Huntingdon         5,744      43,303       13.3%  Rural                39         6.8
 a            Co.
Pennsylvani  Indiana Co.       11,969      82,901       14.4%  Rural                71         5.9
 a
Pennsylvani  Jefferson          6,439      43,725       14.7%  Rural                49         7.6
 a            Co.
Pennsylvani  Juniata Co.        2,506      23,290       10.8%  Rural                23         9.2
 a
Pennsylvani  Lackawanna        40,565     215,797       18.8%  Urban               204         5.0
 a            Co.
Pennsylvani  Lancaster         53,654     556,991        9.6%  Urban               369         6.9
 a            Co.
Pennsylvani  Lawrence Co.      16,677      84,800       19.7%  Urban                93         5.6
 a
Pennsylvani  Lebanon Co.       17,633     144,003       12.2%  Urban               112         6.4
 a
Pennsylvani  Lehigh Co.        57,391     377,019       15.2%  Urban               296         5.2
 a
Pennsylvani  Luzerne Co.       66,488     326,892       20.3%  Urban               309         4.6
 a
Pennsylvani  Lycoming Co.      17,562     113,223       15.5%  Urban                92         5.2
 a
Pennsylvani  McKean Co.         7,472      39,791       18.8%  Rural                46         6.2
 a
Pennsylvani  Mercer Co.        19,020     109,115       17.4%  Rural               107         5.6
 a
Pennsylvani  Mifflin Co.        7,350      45,993         16%  Rural                46         6.3
 a
Pennsylvani  Monroe Co.        23,010     167,437       13.7%  Rural               127         5.5
 a
Pennsylvani  Montgomery        58,592     865,848        6.8%  Urban               459         7.8
 a            Co.
Pennsylvani  Montour Co.        1,615      18,122        8.9%  Rural                17        10.5
 a
Pennsylvani  Northampton       32,625     318,044       10.3%  Urban               206         6.3
 a            Co.
Pennsylvani  Northumberla      16,763      90,093       18.6%  Rural                82         4.9
 a            nd Co.
Pennsylvani  Perry Co.          4,612      46,214         10%  Urban                41         8.9
 a
Pennsylvani  Philadelphia     474,962   1,570,554       30.2%  Urban             1,669         3.5  8Higher-
 a            Co.                                                                                    risk0
Pennsylvani  Pike Co.           6,719      60,647       11.1%  Rural                31         4.6
 a
Pennsylvani  Potter Co.         2,422      16,203       14.9%  Rural                19         7.8
 a
Pennsylvani  Schuylkill        23,611     143,205       16.5%  Rural               149         6.3
 a            Co.
Pennsylvani  Snyder Co.         3,502      39,525        8.9%  Rural                37        10.6
 a
Pennsylvani  Somerset Co.      10,722      72,613       14.8%  Rural                77         7.2
 a
Pennsylvani  Sullivan Co.         597       5,892       10.1%  Rural                 7        11.7
 a
Pennsylvani  Susquehanna        4,815      38,115       12.6%  Rural                27         5.6
 a            Co.
Pennsylvani  Tioga Co.          6,082      40,954       14.9%  Rural                43         7.1
 a
Pennsylvani  Union Co.          3,400      42,745          8%  Rural                31         9.1
 a
Pennsylvani  Venango Co.        9,191      49,695       18.5%  Rural                49         5.3
 a
Pennsylvani  Warren Co.         5,844      37,843       15.4%  Rural                32         5.5
 a
Pennsylvani  Washington        26,989     209,962       12.9%  Urban               167         6.2
 a            Co.
Pennsylvani  Wayne Co.          6,268      51,132       12.3%  Rural                45         7.2
 a
Pennsylvani  Westmoreland      44,664     352,054       12.7%  Urban               282         6.3
 a            Co.
Pennsylvani  Wyoming Co.        3,716      26,034       14.3%  Urban                23         6.2
 a
Pennsylvani  York Co.          54,195     461,385       11.7%  Urban               338         6.2
 a
Rhode        Bristol Co.        2,648      50,388        5.3%  Urban                26         9.8
 Island
Rhode        Kent Co.          16,135     171,523        9.4%  Urban               134         8.3
 Island
Rhode        Newport Co.        6,029      84,851        7.1%  Urban                54         9.0
 Island
Rhode        Providence       109,988     662,209       16.6%  Urban               655         6.0
 Island       Co.
Rhode        Washington         7,469     130,527        5.7%  Urban                79        10.6
 Island       Co.
South        Abbeville          3,426      24,407         14%  Rural                25         7.3
 Carolina     Co.
South        Aiken Co.         22,477     174,075       12.9%  Urban               179         8.0
 Carolina
South        Allendale          2,241       7,508       29.8%  Rural                10         4.5  8Higher-
 Carolina     Co.                                                                                    risk0
South        Anderson Co.      25,205     210,069         12%  Urban               236         9.4
 Carolina
South        Bamberg Co.        3,203      12,966       24.7%  Rural                24         7.5  8Higher-
 Carolina                                                                                            risk0
South        Barnwell Co.       5,194      20,469       25.4%  Rural                36         6.9  8Higher-
 Carolina                                                                                            risk0
South        Beaufort Co.      11,129     195,932        5.7%  Urban               129        11.6
 Carolina
South        Berkeley Co.      20,598     245,249        8.4%  Urban               166         8.1
 Carolina
South        Calhoun Co.        2,268      14,200         16%  Urban                11         4.9
 Carolina
South        Charleston        33,488     419,952          8%  Urban               333         9.9
 Carolina     Co.
South        Cherokee Co.       9,424      56,186       16.8%  Rural                70         7.4
 Carolina
South        Chester Co.        6,570      31,972       20.5%  Urban                41         6.2
 Carolina
South        Chesterfield       8,212      43,722       18.8%  Rural                65         7.9
 Carolina     Co.
South        Clarendon          6,659      30,976       21.5%  Rural                46         6.9
 Carolina     Co.
South        Colleton Co.       7,864      38,618       20.4%  Rural                57         7.2
 Carolina
South        Darlington        13,648      62,434       21.9%  Urban                97         7.1
 Carolina     Co.
South        Dillon Co.         8,050      27,766         29%  Rural                51         6.3  8Higher-
 Carolina                                                                                            risk0
South        Dorchester        14,781     166,029        8.9%  Urban               124         8.4
 Carolina     Co.
South        Edgefield          3,490      27,347       12.8%  Urban                33         9.5
 Carolina     Co.
South        Fairfield          4,439      20,430       21.7%  Urban                32         7.2
 Carolina     Co.
South        Florence Co.      25,145     136,860       18.4%  Urban               184         7.3
 Carolina
South        Georgetown         8,317      64,753       12.8%  Rural                82         9.9
 Carolina     Co.
South        Greenville        45,798     548,447        8.4%  Urban               473        10.3
 Carolina     Co.
South        Greenwood         11,071      69,290         16%  Rural                87         7.9
 Carolina     Co.
South        Hampton Co.        3,954      18,147       21.8%  Rural                31         7.8
 Carolina
South        Horry Co.         35,549     383,372        9.3%  Urban               395        11.1
 Carolina
South        Jasper Co.         4,581      31,988       14.3%  Urban                38         8.3
 Carolina
South        Kershaw Co.        8,927      67,917       13.1%  Urban                68         7.6
 Carolina
South        Lancaster         10,445     104,795         10%  Urban                99         9.5
 Carolina     Co.
South        Laurens Co.       10,567      68,109       15.5%  Urban                82         7.8
 Carolina
South        Lee Co.            4,128      16,119       25.6%  Rural                29         7.0  8Higher-
 Carolina                                                                                            risk0
South        Lexington         30,188     305,147        9.9%  Urban               317        10.5
 Carolina     Co.
South        McCormick          1,242       9,741       12.8%  Rural                 7         5.6
 Carolina     Co.
South        Marion Co.         7,962      28,494       27.9%  Rural                47         5.9  8Higher-
 Carolina                                                                                            risk0
South        Marlboro Co.       6,209      26,003       23.9%  Rural                40         6.4  8Higher-
 Carolina                                                                                            risk0
South        Newberry Co.       5,637      38,343       14.7%  Rural                45         8.0
 Carolina
South        Oconee Co.         8,275      80,223       10.3%  Rural                92        11.1
 Carolina
South        Orangeburg        18,573      83,165       22.3%  Rural               142         7.6
 Carolina     Co.
South        Pickens Co.       10,672     134,405        7.9%  Urban               116        10.9
 Carolina
South        Richland Co.      52,322     421,693       12.4%  Urban               363         6.9
 Carolina
South        Saluda Co.         2,738      19,086       14.3%  Urban                23         8.4
 Carolina
South        Spartanburg       39,298     346,455       11.3%  Urban               360         9.2
 Carolina     Co.
South        Sumter Co.        19,768     104,068         19%  Urban               124         6.3
 Carolina
South        Union Co.          5,110      26,787       19.1%  Urban                42         8.2
 Carolina
South        Williamsburg       7,671      30,164       25.4%  Rural                41         5.3  8Higher-
 Carolina     Co.                                                                                    risk0
South        York Co.          22,599     294,057        7.7%  Urban               195         8.6
 Carolina
South        Aurora Co.            84       2,772          3%  Rural                 5        59.5
 Dakota
South        Beadle Co.         2,223      19,356       11.5%  Rural                22         9.9
 Dakota
South        Bennett Co.          868       3,339         26%  Rural                 7         8.1  8Higher-
 Dakota                                                                                              risk0
South        Bon Homme            332       7,088        4.7%  Rural                 8        24.1
 Dakota       Co.
South        Brookings          1,269      35,442        3.6%  Rural                21        16.5
 Dakota       Co.
South        Brown Co.          2,522      37,915        6.7%  Rural                23         9.1
 Dakota
South        Brule Co.            358       5,324        6.7%  Rural                 8        22.3
 Dakota
South        Buffalo Co.          723       1,848       39.1%  Rural                 3         4.1  8Higher-
 Dakota                                                                                              risk0
South        Butte Co.            910      10,788        8.4%  Rural                10        11.0
 Dakota
South        Campbell Co.          53       1,367        3.9%  Rural                 1        18.9
 Dakota
South        Charles Mix        1,553       9,237       16.8%  Rural                19        12.2
 Dakota       Co.
South        Clark Co.            105       3,945        2.7%  Rural                 3        28.6
 Dakota
South        Clay Co.           1,012      15,277        6.6%  Rural                 9         8.9
 Dakota
South        Codington          1,719      28,756          6%  Rural                19        11.1
 Dakota       Co.
South        Corson Co.         1,334       3,797       35.1%  Rural                 2         1.5  8Higher-
 Dakota                                                                                              risk0
South        Custer Co.           325       9,024        3.6%  Urban                 9        27.7
 Dakota
South        Davison Co.        1,573      20,025        7.9%  Rural                16        10.2
 Dakota
South        Day Co.              387       5,478        7.1%  Rural                10        25.8
 Dakota
South        Deuel Co.            135       4,357        3.1%  Rural                 3        22.2
 Dakota
South        Dewey Co.          1,692       5,078       33.3%  Rural                11         6.5  8Higher-
 Dakota                                                                                              risk0
South        Douglas Co.           53       2,797        1.9%  Rural                 2        37.7
 Dakota
South        Edmunds Co.          130       4,103        3.2%  Rural                 2        15.4
 Dakota
South        Fall River           500       7,373        6.8%  Rural                11        22.0
 Dakota       Co.
South        Faulk Co.             69       2,117        3.3%  Rural                 2        29.0
 Dakota
South        Grant Co.            306       7,535        4.1%  Rural                 8        26.1
 Dakota
South        Gregory Co.          262       3,993        6.6%  Rural                 9        34.4
 Dakota
South        Haakon Co.            72       1,830        3.9%  Rural                 4        55.6
 Dakota
South        Hamlin Co.           202       6,395        3.2%  Rural                 4        19.8
 Dakota
South        Hand Co.              66       3,123        2.1%  Rural                 3        45.5
 Dakota
South        Hanson Co.            71       3,461        2.1%  Rural                 1        14.1
 Dakota
South        Harding Co.           34       1,329        2.6%  Rural                 1        29.4
 Dakota
South        Hughes Co.         1,420      17,674          8%  Rural                10         7.0
 Dakota
South        Hutchinson           294       7,375          4%  Rural                 9        30.6
 Dakota       Co.
South        Hyde Co.              40       1,196        3.3%  Rural                 3        75.0
 Dakota
South        Jackson Co.          657       2,833       23.2%  Rural                 6         9.1
 Dakota
South        Jerauld Co.           51       1,645        3.1%  Rural                 2        39.2
 Dakota
South        Jones Co.             31         870        3.6%  Rural                 2        64.5
 Dakota
South        Kingsbury            166       5,282        3.1%  Rural                 4        24.1
 Dakota       Co.
South        Lake Co.             494      10,945        4.5%  Rural                 6        12.1
 Dakota
South        Lawrence Co.       1,405      27,234        5.2%  Rural                18        12.8
 Dakota
South        Lincoln Co.        1,235      71,156        1.7%  Urban                42        34.0
 Dakota
South        Lyman Co.            611       3,717       16.4%  Rural                 5         8.2
 Dakota
South        McCook Co.           198       5,775        3.4%  Urban                 4        20.2
 Dakota
South        McPherson             82       2,401        3.4%  Rural                 3        36.6
 Dakota       Co.
South        Marshall Co.         158       4,354        3.6%  Rural                 3        19.0
 Dakota
South        Meade Co.            965      30,679        3.1%  Urban                19        19.7
 Dakota
South        Mellette Co.         572       1,867       30.6%  Rural                 4         7.0  8Higher-
 Dakota                                                                                              risk0
South        Miner Co.             85       2,289        3.7%  Rural                 2        23.5
 Dakota
South        Minnehaha         14,515     203,675        7.1%  Urban               179        12.3
 Dakota       Co.
South        Moody Co.            248       6,366        3.9%  Rural                 4        16.1
 Dakota
South        Oglala             5,794      13,482         43%  Rural                10         1.7  8Higher-
 Dakota       Lakota Co.                                                                             risk0
South        Pennington         9,781     114,269        8.6%  Urban                91         9.3
 Dakota       Co.
South        Perkins Co.           89       2,807        3.2%  Rural                 3        33.7
 Dakota
South        Potter Co.            50       2,450          2%  Rural                 6       120.0
 Dakota
South        Roberts Co.        1,556      10,157       15.3%  Rural                13         8.4
 Dakota
South        Sanborn Co.           85       2,413        3.5%  Rural                 1        11.8
 Dakota
South        Spink Co.            228       6,232        3.7%  Rural                 6        26.3
 Dakota
South        Stanley Co.           93       3,014        3.1%  Rural                 4        43.0
 Dakota
South        Sully Co.             16       1,478        1.1%  Rural                 1        62.5
 Dakota
South        Todd Co.           4,563       9,256       49.3%  Rural                11         2.4  8Higher-
 Dakota                                                                                              risk0
South        Tripp Co.            596       5,548       10.7%  Rural                 9        15.1
 Dakota
South        Turner Co.           394       8,890        4.4%  Urban                 5        12.7
 Dakota
South        Union Co.            490      17,083        2.9%  Urban                12        24.5
 Dakota
South        Walworth Co.         496       5,266        9.4%  Rural                 9        18.1
 Dakota
South        Yankton Co.        1,633      23,407          7%  Rural                15         9.2
 Dakota
South        Ziebach Co.        1,031       2,369       43.5%  Rural                 0         0.0  8Higher-
 Dakota                                                                                              risk0
Tennessee    Anderson Co.       9,218      79,016       11.7%  Urban                85         9.2
Tennessee    Bedford Co.        6,692      52,088       12.8%  Rural                57         8.5
Tennessee    Benton Co.         2,552      16,001       15.9%  Rural                19         7.4
Tennessee    Bledsoe Co.        2,345      14,769       15.9%  Rural                16         6.8
Tennessee    Blount Co.         9,835     139,789          7%  Urban               110        11.2
Tennessee    Bradley Co.       12,412     110,814       11.2%  Urban               124        10.0
Tennessee    Campbell Co.       7,803      39,578       19.7%  Urban                46         5.9
Tennessee    Cannon Co.         1,830      14,797       12.4%  Urban                13         7.1
Tennessee    Carroll Co.        3,856      28,431       13.6%  Rural                37         9.6
Tennessee    Carter Co.         7,263      56,531       12.8%  Urban                55         7.6
Tennessee    Cheatham Co.       3,025      41,742        7.2%  Urban                38        12.6
Tennessee    Chester Co.        2,205      17,599       12.5%  Urban                14         6.3
Tennessee    Claiborne          5,073      32,400       15.7%  Rural                39         7.7
              Co.
Tennessee    Clay Co.           1,374       7,635         18%  Rural                10         7.3
Tennessee    Cocke Co.          7,101      36,786       19.3%  Rural                56         7.9
Tennessee    Coffee Co.         7,738      59,663         13%  Rural                75         9.7
Tennessee    Crockett Co.       1,885      13,862       13.6%  Urban                13         6.9
Tennessee    Cumberland         6,919      63,537       10.9%  Rural                71        10.3
              Co.
Tennessee    Davidson Co.      68,951     711,280        9.7%  Urban               566         8.2
Tennessee    Decatur Co.        1,621      11,546         14%  Rural                16         9.9
Tennessee    DeKalb Co.         2,920      21,013       13.9%  Rural                21         7.2
Tennessee    Dickson Co.        5,194      55,793        9.3%  Urban                61        11.7
Tennessee    Dyer Co.           6,595      36,392       18.1%  Rural                47         7.1
Tennessee    Fayette Co.        4,300      43,296        9.9%  Urban                36         8.4
Tennessee    Fentress Co.       3,610      19,336       18.7%  Rural                24         6.6
Tennessee    Franklin Co.       4,269      44,156        9.7%  Rural                53        12.4
Tennessee    Gibson Co.         6,958      50,855       13.7%  Urban                58         8.3
Tennessee    Giles Co.          3,548      30,560       11.6%  Rural                43        12.1
Tennessee    Grainger Co.       3,251      24,191       13.4%  Urban                26         8.0
Tennessee    Greene Co.         7,830      71,279         11%  Rural                97        12.4
Tennessee    Grundy Co.         2,942      13,813       21.3%  Rural                28         9.5
Tennessee    Hamblen Co.        8,116      65,263       12.4%  Urban                83        10.2
Tennessee    Hamilton Co.      38,976     375,861       10.4%  Urban               392        10.1
Tennessee    Hancock Co.        1,864       6,838       27.3%  Rural                 8         4.3  8Higher-
                                                                                                     risk0
Tennessee    Hardeman Co.       3,245      25,493       12.7%  Rural                30         9.2
Tennessee    Hardin Co.         4,295      27,240       15.8%  Rural                33         7.7
Tennessee    Hawkins Co.        7,866      57,915       13.6%  Urban                55         7.0
Tennessee    Haywood Co.        3,843      17,470         22%  Rural                22         5.7
Tennessee    Henderson          4,008      27,907       14.4%  Rural                31         7.7
              Co.
Tennessee    Henry Co.          4,650      32,328       14.4%  Rural                32         6.9
Tennessee    Hickman Co.        3,256      25,479       12.8%  Urban                19         5.8
Tennessee    Houston Co.        1,137       8,230       13.8%  Rural                 8         7.0
Tennessee    Humphreys          2,009      19,046       10.5%  Rural                20        10.0
              Co.
Tennessee    Jackson Co.        1,836      12,022       15.3%  Rural                12         6.5
Tennessee    Jefferson          5,780      56,739       10.2%  Urban                53         9.2
              Co.
Tennessee    Johnson Co.        2,697      18,044       14.9%  Rural                19         7.0
Tennessee    Knox Co.          41,450     495,882        8.4%  Urban               401         9.7
Tennessee    Lake Co.           1,510       6,493       23.3%  Rural                 8         5.3  8Higher-
                                                                                                     risk0
Tennessee    Lauderdale         4,926      24,725       19.9%  Rural                26         5.3
              Co.
Tennessee    Lawrence Co.       5,431      45,476       11.9%  Rural                60        11.0
Tennessee    Lewis Co.          1,778      12,934       13.7%  Rural                18        10.1
Tennessee    Lincoln Co.        4,173      36,006       11.6%  Rural                43        10.3
Tennessee    Loudon Co.         3,882      58,255        6.7%  Urban                56        14.4
Tennessee    McMinn Co.         7,149      54,680       13.1%  Rural                64         9.0
Tennessee    McNairy Co.        3,753      25,971       14.5%  Rural                25         6.7
Tennessee    Macon Co.          4,195      26,225         16%  Urban                26         6.2
Tennessee    Madison Co.       14,422      99,264       14.5%  Urban               104         7.2
Tennessee    Marion Co.         4,161      29,101       14.3%  Urban                44        10.6
Tennessee    Marshall Co.       3,301      35,862        9.2%  Rural                32         9.7
Tennessee    Maury Co.          8,625     108,007          8%  Urban                95        11.0
Tennessee    Meigs Co.          2,133      13,265       16.1%  Rural                16         7.5
Tennessee    Monroe Co.         6,109      47,694       12.8%  Rural                64        10.5
Tennessee    Montgomery        21,430     235,252        9.1%  Urban               166         7.7
              Co.
Tennessee    Moore Co.            421       6,715        6.3%  Rural                 4         9.5
Tennessee    Morgan Co.         2,847      21,176       13.4%  Urban                24         8.4
Tennessee    Obion Co.          4,503      30,365       14.8%  Rural                39         8.7
Tennessee    Overton Co.        2,731      22,992       11.9%  Rural                28        10.3
Tennessee    Perry Co.          1,211       8,702       13.9%  Rural                 9         7.4
Tennessee    Pickett Co.          742       5,102       14.5%  Rural                 6         8.1
Tennessee    Polk Co.           2,247      17,799       12.6%  Urban                20         8.9
Tennessee    Putnam Co.         8,312      82,603       10.1%  Rural                89        10.7
Tennessee    Rhea Co.           5,207      34,056       15.3%  Rural                43         8.3
Tennessee    Roane Co.          6,183      55,256       11.2%  Urban                58         9.4
Tennessee    Robertson          6,180      75,402        8.2%  Urban                71        11.5
              Co.
Tennessee    Rutherford        23,216     362,044        6.4%  Urban               261        11.2
              Co.
Tennessee    Scott Co.          5,040      22,033       22.9%  Rural                23         4.6  8Higher-
                                                                                                     risk0
Tennessee    Sequatchie         2,612      16,943       15.4%  Urban                23         8.8
              Co.
Tennessee    Sevier Co.         7,804      99,318        7.9%  Rural               135        17.3
Tennessee    Shelby Co.       173,305     918,382       18.9%  Urban               949         5.5
Tennessee    Smith Co.          2,157      20,485       10.5%  Urban                20         9.3
Tennessee    Stewart Co.        1,397      14,001         10%  Urban                15        10.7
Tennessee    Sullivan Co.      19,043     160,891       11.8%  Urban               156         8.2
Tennessee    Sumner Co.        12,767     204,018        6.3%  Urban               142        11.1
Tennessee    Tipton Co.         7,508      61,577       12.2%  Urban                47         6.3
Tennessee    Trousdale          1,144      12,085        9.5%  Urban                14        12.2
              Co.
Tennessee    Unicoi Co.         2,148      17,606       12.2%  Urban                21         9.8
Tennessee    Union Co.          3,097      20,483       15.1%  Urban                21         6.8
Tennessee    Van Buren            758       6,455       11.7%  Rural                 8        10.6
              Co.
Tennessee    Warren Co.         6,302      42,014         15%  Rural                49         7.8
Tennessee    Washington        13,050     136,339        9.6%  Urban               129         9.9
              Co.
Tennessee    Wayne Co.          1,824      16,259       11.2%  Rural                17         9.3
Tennessee    Weakley Co.        3,925      33,032       11.9%  Rural                41        10.4
Tennessee    White Co.          3,696      28,004       13.2%  Rural                30         8.1
Tennessee    Williamson         3,462     261,536        1.3%  Urban               108        31.2
              Co.
Tennessee    Wilson Co.         8,115     159,029        5.1%  Urban               114        14.0
Texas        Anderson Co.       6,576      57,296       11.5%  Rural                47         7.1
Texas        Andrews Co.        1,643      18,372        8.9%  Rural                16         9.7
Texas        Angelina Co.      14,097      87,229       16.2%  Rural                85         6.0
Texas        Aransas Co.        3,287      24,973       13.2%  Urban                23         7.0
Texas        Archer Co.           557       8,858        6.3%  Urban                 9        16.2
Texas        Armstrong            102       1,857        5.5%  Urban                 4        39.2
              Co.
Texas        Atascosa Co.       9,271      50,935       18.2%  Urban                54         5.8
Texas        Austin Co.         2,706      31,067        8.7%  Urban                31        11.5
Texas        Bailey Co.           907       6,853       13.2%  Rural                 8         8.8
Texas        Bandera Co.        1,805      22,127        8.2%  Urban                18        10.0
Texas        Bastrop Co.       10,344     106,484        9.7%  Urban                81         7.8
Texas        Baylor Co.           499       3,476       14.4%  Rural                 5        10.0
Texas        Bee Co.            5,199      30,995       16.8%  Rural                26         5.0
Texas        Bell Co.          49,936     387,828       12.9%  Urban               309         6.2
Texas        Bexar Co.        275,087   2,063,840       13.3%  Urban             1,359         4.9
Texas        Blanco Co.           533      12,439        4.3%  Rural                 8        15.0
Texas        Borden Co.            44         581        7.6%  Rural                 0         0.0
Texas        Bosque Co.         1,919      18,701       10.3%  Urban                31        16.2
Texas        Bowie Co.         14,331      91,689       15.6%  Urban               107         7.5
Texas        Brazoria Co.      33,700     388,946        8.7%  Urban               248         7.4
Texas        Brazos Co.        19,303     242,515          8%  Urban               132         6.8
Texas        Brewster Co.         705       9,381        7.5%  Rural                12        17.0
Texas        Briscoe Co.          122       1,441        8.5%  Rural                 4        32.8
Texas        Brooks Co.         2,377       6,960       34.2%  Rural                12         5.0  8Higher-
                                                                                                     risk0
Texas        Brown Co.          4,748      38,411       12.4%  Rural                46         9.7
Texas        Burleson Co.       2,376      18,739       12.7%  Urban                21         8.8
Texas        Burnet Co.         3,254      52,578        6.2%  Rural                40        12.3
Texas        Caldwell Co.       5,648      47,920       11.8%  Urban                41         7.3
Texas        Calhoun Co.        2,668      19,735       13.5%  Rural                24         9.0
Texas        Callahan Co.       1,567      14,275         11%  Urban                17        10.8
Texas        Cameron Co.      103,235     425,819       24.2%  Urban               421         4.1  8Higher-
                                                                                                     risk0
Texas        Camp Co.           2,048      12,750       16.1%  Rural                15         7.3
Texas        Carson Co.           358       5,809        6.2%  Urban                 9        25.1
Texas        Cass Co.           4,887      28,530       17.1%  Rural                33         6.8
Texas        Castro Co.           866       7,307       11.9%  Rural                 9        10.4
Texas        Chambers Co.       3,963      51,403        7.7%  Urban                30         7.6
Texas        Cherokee Co.       7,707      51,666       14.9%  Rural                46         6.0
Texas        Childress            775       6,834       11.3%  Rural                10        12.9
              Co.
Texas        Clay Co.             935      10,484        8.9%  Urban                 9         9.6
Texas        Cochran Co.          484       2,551         19%  Urban                 4         8.3
Texas        Coke Co.             322       3,347        9.6%  Rural                 7        21.7
Texas        Coleman Co.        1,116       7,863       14.2%  Rural                14        12.5
Texas        Collin Co.        40,869   1,163,724        3.5%  Urban               512        12.5
Texas        Collingswort         399       2,584       15.4%  Rural                 5        12.5
              h Co.
Texas        Colorado Co.       2,288      20,926       10.9%  Rural                24        10.5
Texas        Comal Co.          8,652     184,799        4.7%  Urban                98        11.3
Texas        Comanche Co.       1,597      13,903       11.5%  Rural                16        10.0
Texas        Concho Co.           310       3,371        9.2%  Rural                 5        16.1
Texas        Cooke Co.          3,859      43,047          9%  Rural                42        10.9
Texas        Coryell Co.        8,240      84,224        9.8%  Urban                47         5.7
Texas        Cottle Co.           210       1,317       15.9%  Rural                 4        19.0
Texas        Crane Co.            449       4,557        9.9%  Rural                 7        15.6
Texas        Crockett Co.         308       2,952       10.4%  Rural                 6        19.5
Texas        Crosby Co.         1,176       5,010       23.5%  Urban                10         8.5
Texas        Culberson            406       2,159       18.8%  Rural                 7        17.2
              Co.
Texas        Dallam Co.           472       7,271        6.5%  Rural                10        21.2
Texas        Dallas Co.       316,124   2,613,712       12.1%  Urban             1,815         5.7
Texas        Dawson Co.         1,914      12,171       15.7%  Rural                14         7.3
Texas        Deaf Smith         2,522      18,433       13.7%  Rural                19         7.5
              Co.
Texas        Delta Co.            732       5,417       13.5%  Rural                 6         8.2
Texas        Denton Co.        40,904     980,355        4.2%  Urban               363         8.9
Texas        DeWitt Co.         3,079      19,783       15.6%  Rural                15         4.9
Texas        Dickens Co.          210       1,734       12.1%  Rural                 3        14.3
Texas        Dimmit Co.         2,650       8,377       31.6%  Rural                17         6.4  8Higher-
                                                                                                     risk0
Texas        Donley Co.           329       3,275         10%  Rural                 6        18.2
Texas        Duval Co.          3,124       9,688       32.2%  Rural                19         6.1  8Higher-
                                                                                                     risk0
Texas        Eastland Co.       2,441      17,909       13.6%  Rural                33        13.5
Texas        Ector Co.         20,496     161,480       12.7%  Urban               166         8.1
Texas        Edwards Co.          279       1,423       19.6%  Rural                 2         7.2
Texas        Ellis Co.         15,547     212,548        7.3%  Urban               122         7.8
Texas        El Paso Co.      145,850     868,890       16.8%  Urban               658         4.5
Texas        Erath Co.          3,238      43,929        7.4%  Rural                35        10.8
Texas        Falls Co.          2,836      16,958       16.7%  Urban                22         7.8
Texas        Fannin Co.         3,332      37,237        8.9%  Rural                32         9.6
Texas        Fayette Co.        1,798      24,987        7.2%  Rural                22        12.2
Texas        Fisher Co.           407       3,639       11.2%  Rural                 6        14.7
Texas        Floyd Co.          1,074       5,250       20.5%  Rural                 6         5.6
Texas        Foard Co.            121       1,062       11.4%  Rural                 2        16.5
Texas        Fort Bend         56,706     893,319        6.3%  Urban               388         6.8
              Co.
Texas        Franklin Co.       1,219      10,641       11.5%  Rural                13        10.7
Texas        Freestone          2,367      20,006       11.8%  Rural                21         8.9
              Co.
Texas        Frio Co.           3,749      18,220       20.6%  Rural                18         4.8
Texas        Gaines Co.         1,748      22,157        7.9%  Rural                16         9.2
Texas        Galveston         35,352     357,735        9.9%  Urban               280         7.9
              Co.
Texas        Garza Co.            589       4,527         13%  Urban                 7        11.9
Texas        Gillespie          1,086      27,572        3.9%  Rural                12        11.0
              Co.
Texas        Glasscock             32       1,145        2.8%  Rural                 0         0.0
              Co.
Texas        Goliad Co.           788       7,144         11%  Urban                 4         5.1
Texas        Gonzales Co.       3,094      19,865       15.6%  Rural                25         8.1
Texas        Gray Co.           3,053      20,986       14.5%  Rural                25         8.2
Texas        Grayson Co.       13,589     143,292        9.5%  Urban               126         9.3
Texas        Gregg Co.         17,795     125,668       14.2%  Urban               137         7.7
Texas        Grimes Co.         3,764      31,141       12.1%  Rural                25         6.6
Texas        Guadalupe         13,250     182,953        7.2%  Urban               101         7.6
              Co.
Texas        Hale Co.           5,156      32,007       16.1%  Rural                33         6.4
Texas        Hall Co.             527       2,820       18.7%  Rural                 7        13.3
Texas        Hamilton Co.         794       8,314        9.6%  Rural                17        21.4
Texas        Hansford Co.         314       5,117        6.1%  Rural                 7        22.3
Texas        Hardeman Co.         494       3,509       14.1%  Rural                 8        16.2
Texas        Hardin Co.         6,468      57,819       11.2%  Urban                47         7.3
Texas        Harris Co.       623,573   4,806,747         13%  Urban             3,626         5.8
Texas        Harrison Co.       9,570      70,047       13.7%  Urban                59         6.2
Texas        Hartley Co.          137       5,220        2.6%  Rural                 3        21.9
Texas        Haskell Co.          811       5,412         15%  Rural                 8         9.9
Texas        Hays Co.          13,945     269,476        5.2%  Urban               139        10.0
Texas        Hemphill Co.         189       3,204        5.9%  Rural                 3        15.9
Texas        Henderson         11,940      84,508       14.1%  Rural                81         6.8
              Co.
Texas        Hidalgo Co.      221,600     889,799       24.9%  Urban               965         4.4  8Higher-
                                                                                                     risk0
Texas        Hill Co.           4,609      37,320       12.3%  Rural                51        11.1
Texas        Hockley Co.        2,928      21,227       13.8%  Urban                21         7.2
Texas        Hood Co.           4,403      66,315        6.6%  Rural                59        13.4
Texas        Hopkins Co.        3,862      37,834       10.2%  Rural                35         9.1
Texas        Houston Co.        3,661      21,936       16.7%  Rural                26         7.1
Texas        Howard Co.         4,094      30,745       13.3%  Rural                36         8.8
Texas        Hudspeth Co.         864       3,454         25%  Urban                 6         6.9  8Higher-
                                                                                                     risk0
Texas        Hunt Co.          12,020     108,532       11.1%  Urban                85         7.1
Texas        Hutchinson         2,287      20,176       11.3%  Rural                26        11.4
              Co.
Texas        Irion Co.             97       1,544        6.3%  Urban                 2        20.6
Texas        Jack Co.             802       8,755        9.2%  Rural                10        12.5
Texas        Jackson Co.        1,925      15,162       12.7%  Rural                16         8.3
Texas        Jasper Co.         6,272      32,518       19.3%  Rural                42         6.7
Texas        Jeff Davis            89       1,908        4.7%  Rural                 2        22.5
              Co.
Texas        Jefferson         41,778     252,095       16.6%  Urban               287         6.9
              Co.
Texas        Jim Hogg Co.       1,413       4,764       29.7%  Rural                10         7.1  8Higher-
                                                                                                     risk0
Texas        Jim Wells          9,829      38,755       25.4%  Rural                50         5.1  8Higher-
              Co.                                                                                    risk0
Texas        Johnson Co.       15,509     195,774        7.9%  Urban               120         7.7
Texas        Jones Co.          2,022      20,316         10%  Urban                17         8.4
Texas        Karnes Co.         2,099      15,039         14%  Rural                20         9.5
Texas        Kaufman Co.       16,897     172,951        9.8%  Urban               110         6.5
Texas        Kendall Co.        1,560      49,046        3.2%  Urban                21        13.5
Texas        Kenedy Co.            26         358        7.3%  Rural                 0         0.0
Texas        Kent Co.              63         739        8.5%  Rural                 0         0.0
Texas        Kerr Co.           3,985      53,785        7.4%  Rural                38         9.5
Texas        Kimble Co.           482       4,438       10.9%  Rural                 9        18.7
Texas        King Co.               3         233        1.3%  Rural                 0         0.0
Texas        Kinney Co.           515       3,143       16.4%  Rural                 4         7.8
Texas        Kleberg Co.        6,191      30,454       20.3%  Rural                30         4.8
Texas        Knox Co.             533       3,288       16.2%  Rural                 7        13.1
Texas        Lamar Co.          7,311      50,513       14.5%  Rural                65         8.9
Texas        Lamb Co.           2,049      12,774         16%  Rural                16         7.8
Texas        Lampasas Co.       2,143      22,789        9.4%  Urban                15         7.0
Texas        La Salle Co.       1,307       6,561       19.9%  Rural                17        13.0
Texas        Lavaca Co.         1,991      20,661        9.6%  Rural                21        10.5
Texas        Lee Co.            1,708      17,966        9.5%  Rural                18        10.5
Texas        Leon Co.           2,040      16,228       12.6%  Rural                21        10.3
Texas        Liberty Co.       17,335     102,661       16.9%  Urban               108         6.2
Texas        Limestone          3,450      22,224       15.5%  Rural                24         7.0
              Co.
Texas        Lipscomb Co.         205       2,855        7.2%  Rural                 4        19.5
Texas        Live Oak Co.       1,476      11,571       12.8%  Rural                18        12.2
Texas        Llano Co.          1,923      22,664        8.5%  Rural                19         9.9
Texas        Loving Co.             5          47       10.6%  Rural                 0         0.0
Texas        Lubbock Co.       38,404     318,324       12.1%  Urban               243         6.3
Texas        Lynn Co.             820       5,751       14.3%  Urban                 6         7.3
Texas        McCulloch          1,271       7,494         17%  Rural                12         9.4
              Co.
Texas        McLennan Co.      33,636     266,254       12.6%  Urban               233         6.9
Texas        McMullen Co.          62         571       10.9%  Rural                 1        16.1
Texas        Madison Co.        1,796      13,642       13.2%  Rural                13         7.2
Texas        Marion Co.         1,882       9,677       19.4%  Rural                12         6.4
Texas        Martin Co.           572       5,226       10.9%  Urban                 5         8.7
Texas        Mason Co.            244       3,975        6.1%  Rural                 4        16.4
Texas        Matagorda          6,167      36,182         17%  Rural                52         8.4
              Co.
Texas        Maverick Co.      16,843      57,813       29.1%  Urban                52         3.1  8Higher-
                                                                                                     risk0
Texas        Medina Co.         6,518      53,756       12.1%  Urban                48         7.4
Texas        Menard Co.           215       1,979       10.9%  Rural                 3        14.0
Texas        Midland Co.       13,954     172,705        8.1%  Urban               149        10.7
Texas        Milam Co.          3,616      25,649       14.1%  Rural                27         7.5
Texas        Mills Co.            383       4,504        8.5%  Rural                 4        10.4
Texas        Mitchell Co.         901       8,959       10.1%  Rural                10        11.1
Texas        Montague Co.       1,946      21,134        9.2%  Rural                18         9.2
Texas        Montgomery        48,093     680,824        7.1%  Urban               372         7.7
              Co.
Texas        Moore Co.          1,607      21,156        7.6%  Rural                28        17.4
Texas        Morris Co.         2,403      12,082       19.9%  Rural                14         5.8
Texas        Motley Co.            88       1,033        8.5%  Rural                 4        45.5
Texas        Nacogdoches        9,590      64,995       14.8%  Rural                48         5.0
              Co.
Texas        Navarro Co.        7,810      54,775       14.3%  Rural                56         7.2
Texas        Newton Co.         2,192      12,076       18.2%  Rural                 7         3.2
Texas        Nolan Co.          2,367      14,460       16.4%  Rural                21         8.9
Texas        Nueces Co.        61,858     351,852       17.6%  Urban               307         5.0
Texas        Ochiltree            702       9,718        7.2%  Rural                11        15.7
              Co.
Texas        Oldham Co.            81       1,764        4.6%  Urban                 4        49.4
Texas        Orange Co.        11,987      85,125       14.1%  Urban                99         8.3
Texas        Palo Pinto         3,228      29,292         11%  Rural                44        13.6
              Co.
Texas        Panola Co.         3,025      22,730       13.3%  Rural                23         7.6
Texas        Parker Co.         8,337     165,899          5%  Urban                93        11.2
Texas        Parmer Co.           734       9,657        7.6%  Rural                13        17.7
Texas        Pecos Co.          1,887      14,742       12.8%  Rural                23        12.2
Texas        Polk Co.           8,057      53,223       15.1%  Rural                54         6.7
Texas        Potter Co.        18,199     115,100       15.8%  Urban               131         7.2
Texas        Presidio Co.       1,322       5,970       22.1%  Rural                11         8.3
Texas        Rains Co.          1,318      12,858       10.3%  Rural                10         7.6
Texas        Randall Co.        8,430     146,221        5.8%  Urban               105        12.5
Texas        Reagan Co.           273       3,161        8.6%  Rural                 6        22.0
Texas        Real Co.             450       2,819         16%  Rural                 6        13.3
Texas        Red River          1,759      11,594       15.2%  Rural                17         9.7
              Co.
Texas        Reeves Co.         1,840      11,750       15.7%  Rural                25        13.6
Texas        Refugio Co.        1,039       6,649       15.6%  Rural                10         9.6
Texas        Roberts Co.           34         804        4.2%  Rural                 0         0.0
Texas        Robertson          2,903      17,135       16.9%  Urban                24         8.3
              Co.
Texas        Rockwall Co.       4,670     123,538        3.8%  Urban                56        12.0
Texas        Runnels Co.        1,242       9,896       12.6%  Rural                16        12.9
Texas        Rusk Co.           6,494      52,597       12.3%  Urban                43         6.6
Texas        Sabine Co.         1,820      10,035       18.1%  Rural                13         7.1
Texas        San                1,602       7,886       20.3%  Rural                12         7.5
              Augustine
              Co.
Texas        San Jacinto        4,526      28,399       15.9%  Urban                26         5.7
              Co.
Texas        San Patricio      12,099      70,044       17.3%  Urban                77         6.4
              Co.
Texas        San Saba Co.         646       5,873         11%  Rural                 7        10.8
Texas        Schleicher           265       2,351       11.3%  Rural                 4        15.1
              Co.
Texas        Scurry Co.         1,866      16,258       11.5%  Rural                18         9.6
Texas        Shackelford          343       3,201       10.7%  Rural                 4        11.7
              Co.
Texas        Shelby Co.         4,370      24,163       18.1%  Rural                30         6.9
Texas        Sherman Co.          174       2,781        6.3%  Rural                 5        28.7
Texas        Smith Co.         25,541     242,249       10.5%  Urban               190         7.4
Texas        Somervell            648       9,791        6.6%  Rural                11        17.0
              Co.
Texas        Starr Co.         20,945      65,793       31.8%  Rural                99         4.7  8Higher-
                                                                                                     risk0
Texas        Stephens Co.       1,173       9,374       12.5%  Rural                12        10.2
Texas        Sterling Co.          89       1,417        6.3%  Rural                 5        56.2
Texas        Stonewall            119       1,218        9.8%  Rural                 3        25.2
              Co.
Texas        Sutton Co.           330       3,239       10.2%  Rural                12        36.4
Texas        Swisher Co.        1,170       6,952       16.8%  Rural                 7         6.0
Texas        Tarrant Co.      209,689   2,161,670        9.7%  Urban             1,474         7.0
Texas        Taylor Co.        16,795     145,481       11.5%  Urban               157         9.3
Texas        Terrell Co.           67         693        9.7%  Rural                 1        14.9
Texas        Terry Co.          1,951      11,462         17%  Rural                11         5.6
Texas        Throckmorton         149       1,543        9.7%  Rural                 3        20.1
              Co.
Texas        Titus Co.          4,169      31,273       13.3%  Rural                36         8.6
Texas        Tom Green         12,014     119,006       10.1%  Urban                97         8.1
              Co.
Texas        Travis Co.        80,371   1,332,544          6%  Urban               692         8.6
Texas        Trinity Co.        2,801      13,996         20%  Rural                21         7.5
Texas        Tyler Co.          3,248      20,447       15.9%  Rural                24         7.4
Texas        Upshur Co.         5,540      42,492         13%  Urban                34         6.1
Texas        Upton Co.            390       3,157       12.4%  Rural                 7        17.9
Texas        Uvalde Co.         6,241      24,895       25.1%  Rural                29         4.6  8Higher-
                                                                                                     risk0
Texas        Val Verde          9,896      47,678       20.8%  Rural                36         3.6
              Co.
Texas        Van Zandt          5,846      62,872        9.3%  Rural                49         8.4
              Co.
Texas        Victoria Co.      14,011      91,128       15.4%  Urban                90         6.4
Texas        Walker Co.         6,764      79,821        8.5%  Rural                66         9.8
Texas        Waller Co.         5,817      61,967        9.4%  Urban                32         5.5
Texas        Ward Co.           1,264      10,946       11.5%  Rural                22        17.4
Texas        Washington         3,161      36,382        8.7%  Rural                25         7.9
              Co.
Texas        Webb Co.          66,412     268,276       24.8%  Urban               217         3.3  8Higher-
                                                                                                     risk0
Texas        Wharton Co.        6,340      41,811       15.2%  Rural                42         6.6
Texas        Wheeler Co.          529       4,801         11%  Rural                10        18.9
Texas        Wichita Co.       17,106     130,166       13.1%  Urban               120         7.0
Texas        Wilbarger          1,897      12,544       15.1%  Rural                18         9.5
              Co.
Texas        Willacy Co.        5,046      20,231       24.9%  Rural                23         4.6  8Higher-
                                                                                                     risk0
Texas        Williamson        25,935     673,951        3.8%  Urban               310        12.0
              Co.
Texas        Wilson Co.         3,933      52,772        7.5%  Urban                30         7.6
Texas        Winkler Co.          909       7,305       12.4%  Rural                17        18.7
Texas        Wise Co.           4,784      74,900        6.4%  Urban                56        11.7
Texas        Wood Co.           4,556      46,967        9.7%  Rural                39         8.6
Texas        Yoakum Co.           733       7,523        9.7%  Rural                13        17.7
Texas        Young Co.          1,843      17,998       10.2%  Rural                19        10.3
Texas        Zapata Co.         4,258      13,841       30.8%  Rural                29         6.8  8Higher-
                                                                                                     risk0
Texas        Zavala Co.         3,501       9,382       37.3%  Rural                15         4.3  8Higher-
                                                                                                     risk0
Utah         Beaver Co.           466       7,348        6.3%  Rural                 6        12.9
Utah         Box Elder          2,825      61,590        4.6%  Rural                35        12.4
              Co.
Utah         Cache Co.          5,058     140,450        3.6%  Urban                46         9.1
Utah         Carbon Co.         2,464      20,530         12%  Rural                19         7.7
Utah         Daggett Co.           40       1,011          4%  Rural                 1        25.0
Utah         Davis Co.         12,168     370,424        3.3%  Urban               130        10.7
Utah         Duchesne Co.       2,096      20,158       10.4%  Rural                20         9.5
Utah         Emery Co.            740      10,104        7.3%  Rural                18        24.3
Utah         Garfield Co.         218       5,264        4.1%  Rural                 6        27.5
Utah         Grand Co.            520       9,809        5.3%  Rural                17        32.7
Utah         Iron Co.           4,271      62,607        6.8%  Rural                30         7.0
Utah         Juab Co.             581      12,575        4.6%  Urban                10        17.2
Utah         Kane Co.             357       8,208        4.3%  Rural                 7        19.6
Utah         Millard Co.          769      13,328        5.8%  Rural                20        26.0
Utah         Morgan Co.           130      12,860          1%  Urban                 5        38.5
Utah         Piute Co.             90       1,493          6%  Rural                 3        33.3
Utah         Rich Co.              83       2,634        3.2%  Rural                 3        36.1
Utah         Salt Lake         62,284   1,192,255        5.2%  Urban               617         9.9
              Co.
Utah         San Juan Co.       2,586      14,411       17.9%  Rural                20         7.7
Utah         Sanpete Co.        1,676      29,762        5.6%  Rural                15         8.9
Utah         Sevier Co.         1,888      22,065        8.6%  Rural                14         7.4
Utah         Summit Co.           424      43,134          1%  Rural                20        47.2
Utah         Tooele Co.         4,090      79,981        5.1%  Urban                33         8.1
Utah         Uintah Co.         3,419      37,162        9.2%  Rural                24         7.0
Utah         Utah Co.          21,751     704,764        3.1%  Urban               223        10.3
Utah         Wasatch Co.          513      36,731        1.4%  Rural                13        25.3
Utah         Washington         8,976     197,898        4.5%  Urban                78         8.7
              Co.
Utah         Wayne Co.            152       2,632        5.8%  Rural                 3        19.7
Utah         Weber Co.         16,839     269,823        6.2%  Urban               136         8.1
Vermont      Addison Co.        2,918      37,619        7.8%  Rural                34        11.7
Vermont      Bennington         5,584      37,367       14.9%  Rural                51         9.1
              Co.
Vermont      Caledonia          4,484      30,578       14.7%  Rural                30         6.7
              Co.
Vermont      Chittenden        13,442     170,050        7.9%  Urban               159        11.8
              Co.
Vermont      Essex Co.          1,071       5,988       17.9%  Rural                 2         1.9
Vermont      Franklin Co.       6,210      50,732       12.2%  Urban                64        10.3
Vermont      Grand Isle           835       7,508       11.1%  Urban                14        16.8
              Co.
Vermont      Lamoille Co.       2,533      26,177        9.7%  Rural                26        10.3
Vermont      Orange Co.         3,072      29,892       10.3%  Rural                31        10.1
Vermont      Orleans Co.        4,813      27,618       17.4%  Rural                35         7.3
Vermont      Rutland Co.        8,387      60,381       13.9%  Rural                77         9.2
Vermont      Washington         5,713      60,165        9.5%  Rural                71        12.4
              Co.
Vermont      Windham Co.        6,041      45,951       13.1%  Rural                55         9.1
Vermont      Windsor Co.        6,019      58,116       10.4%  Rural                53         8.8
Virginia     Accomack Co.       5,398      33,157       16.3%  Rural                44         8.2
Virginia     Albemarle          6,077     114,925        5.3%  Urban                64        10.5
              Co.
Virginia     Alleghany          2,202      14,764       14.9%  Rural                13         5.9
              Co.
Virginia     Amelia Co.         1,467      13,419       10.9%  Urban                12         8.2
Virginia     Amherst Co.        3,992      31,512       12.7%  Urban                30         7.5
Virginia     Appomattox         2,489      16,696       14.9%  Urban                15         6.0
              Co.
Virginia     Arlington          8,462     233,976        3.6%  Urban                97        11.5
              Co.
Virginia     Augusta Co.        5,800      77,919        7.4%  Urban                51         8.8
Virginia     Bath Co.             338       4,077        8.3%  Rural                 3         8.9
Virginia     Bedford Co.        6,423      80,798        7.9%  Urban                65        10.1
Virginia     Bland Co.            587       6,151        9.5%  Rural                 5         8.5
Virginia     Botetourt          1,821      34,092        5.3%  Urban                21        11.5
              Co.
Virginia     Brunswick          3,321      15,856       20.9%  Rural                17         5.1
              Co.
Virginia     Buchanan Co.       5,178      19,329       26.8%  Rural                29         5.6  8Higher-
                                                                                                     risk0
Virginia     Buckingham         2,822      16,983       16.6%  Rural                19         6.7
              Co.
Virginia     Campbell Co.       6,910      55,035       12.6%  Urban                49         7.1
Virginia     Caroline Co.       3,971      31,959       12.4%  Rural                34         8.6
Virginia     Carroll Co.        4,740      29,096       16.3%  Rural                41         8.6
Virginia     Charles City         867       6,580       13.2%  Urban                 6         6.9
              Co.
Virginia     Charlotte          2,148      11,427       18.8%  Rural                16         7.4
              Co.
Virginia     Chesterfield      29,381     378,488        7.8%  Urban               211         7.2
              Co.
Virginia     Clarke Co.           598      15,312        3.9%  Urban                 6        10.0
Virginia     Craig Co.            528       4,859       10.9%  Urban                 4         7.6
Virginia     Culpeper Co.       4,280      54,250        7.9%  Urban                31         7.2
Virginia     Cumberland         1,911       9,755       19.6%  Rural                 7         3.7
              Co.
Virginia     Dickenson          2,864      13,714       20.9%  Rural                19         6.6
              Co.
Virginia     Dinwiddie          4,390      28,112       15.6%  Urban                21         4.8
              Co.
Virginia     Essex Co.          1,938      10,644       18.2%  Rural                14         7.2
Virginia     Fairfax Co.       48,677   1,140,521        4.3%  Urban               432         8.9
Virginia     Fauquier Co.       3,059      74,686        4.1%  Urban                33        10.8
Virginia     Floyd Co.          1,709      15,625       10.9%  Urban                18        10.5
Virginia     Fluvanna Co.       1,751      28,134        6.2%  Urban                 9         5.1
Virginia     Franklin Co.       6,913      55,047       12.6%  Urban                57         8.2
Virginia     Frederick          5,658      94,839          6%  Urban                65        11.5
              Co.
Virginia     Giles Co.          2,109      16,430       12.8%  Urban                24        11.4
Virginia     Gloucester         3,859      39,546        9.8%  Urban                33         8.6
              Co.
Virginia     Goochland          1,222      26,184        4.7%  Urban                16        13.1
              Co.
Virginia     Grayson Co.        2,580      15,310       16.9%  Rural                13         5.0
Virginia     Greene Co.         1,887      21,026          9%  Urban                14         7.4
Virginia     Greensville        1,859      11,232       16.6%  Rural                25        13.4
              Co.
Virginia     Halifax Co.        6,172      33,599       18.4%  Rural                51         8.3
Virginia     Hanover Co.        5,335     112,889        4.7%  Urban                79        14.8
Virginia     Henrico Co.       34,876     334,855       10.4%  Urban               263         7.5
Virginia     Henry Co.          9,944      49,765         20%  Rural                70         7.0
Virginia     Highland Co.         118       2,303        5.1%  Rural                 7        59.3
Virginia     Isle of            3,691      40,149        9.2%  Urban                31         8.4
              Wight Co.
Virginia     James City         4,457      81,426        5.5%  Urban                41         9.2
              Co.
Virginia     King and           1,059       6,721       15.8%  Urban                 3         2.8
              Queen Co.
Virginia     King George        2,136      27,867        7.7%  Rural                20         9.4
              Co.
Virginia     King William       1,574      18,528        8.5%  Urban                15         9.5
              Co.
Virginia     Lancaster          1,344      10,838       12.4%  Rural                14        10.4
              Co.
Virginia     Lee Co.            5,666      21,842       25.9%  Rural                37         6.5  8Higher-
                                                                                                     risk0
Virginia     Loudoun Co.       11,328     432,897        2.6%  Urban               151        13.3
Virginia     Louisa Co.         3,946      39,986        9.9%  Rural                29         7.3
Virginia     Lunenburg          2,165      12,020         18%  Rural                10         4.6
              Co.
Virginia     Madison Co.        1,116      14,013          8%  Rural                11         9.9
Virginia     Mathews Co.          792       8,467        9.4%  Urban                 6         7.6
Virginia     Mecklenburg        4,877      30,511         16%  Rural                43         8.8
              Co.
Virginia     Middlesex          1,500      10,958       13.7%  Rural                11         7.3
              Co.
Virginia     Montgomery         6,394      98,980        6.5%  Urban                68        10.6
              Co.
Virginia     Nelson Co.         1,755      14,692       11.9%  Urban                13         7.4
Virginia     New Kent Co.       1,214      25,000        4.9%  Urban                17        14.0
Virginia     Northampton        2,291      11,974       19.1%  Rural                14         6.1
              Co.
Virginia     Northumberla       1,552      12,263       12.7%  Rural                15         9.7
              nd Co.
Virginia     Nottoway Co.       2,907      15,561       18.7%  Rural                19         6.5
Virginia     Orange Co.         3,267      38,019        8.6%  Rural                31         9.5
Virginia     Page Co.           2,856      23,747         12%  Rural                16         5.6
Virginia     Patrick Co.        2,890      17,569       16.4%  Rural                19         6.6
Virginia     Pittsylvania       8,836      59,845       14.8%  Rural                54         6.1
              Co.
Virginia     Powhatan Co.       1,273      31,582          4%  Urban                12         9.4
Virginia     Prince             3,470      21,856       15.9%  Rural                27         7.8
              Edward Co.
Virginia     Prince             3,585      43,067        8.3%  Urban                23         6.4
              George Co.
Virginia     Prince            28,932     487,523        5.9%  Urban               219         7.6
              William Co.
Virginia     Pulaski Co.        5,326      33,639       15.8%  Urban                36         6.8
Virginia     Rappahannock         484       7,445        6.5%  Urban                 1         2.1
              Co.
Virginia     Richmond Co.       1,299       9,099       14.3%  Rural                12         9.2
Virginia     Roanoke Co.        6,205      96,856        6.4%  Urban                56         9.0
Virginia     Rockbridge         2,434      22,585       10.8%  Rural                28        11.5
              Co.
Virginia     Rockingham         5,098      85,390          6%  Urban                51        10.0
              Co.
Virginia     Russell Co.        5,511      25,440       21.7%  Rural                20         3.6
Virginia     Scott Co.          3,718      21,497       17.3%  Urban                38        10.2
Virginia     Shenandoah         4,813      44,905       10.7%  Rural                46         9.6
              Co.
Virginia     Smyth Co.          6,185      29,393         21%  Rural                41         6.6
Virginia     Southampton        2,520      17,897       14.1%  Rural                15         6.0
              Co.
Virginia     Spotsylvania      11,986     146,744        8.2%  Urban                96         8.0
              Co.
Virginia     Stafford Co.      10,360     163,233        6.3%  Urban                92         8.9
Virginia     Surry Co.            915       6,506       14.1%  Urban                11        12.0
Virginia     Sussex Co.         1,851      10,652       17.4%  Urban                17         9.2
Virginia     Tazewell Co.       8,226      39,650       20.7%  Rural                56         6.8
Virginia     Warren Co.         3,934      41,436        9.5%  Urban                33         8.4
Virginia     Washington         7,095      53,846       13.2%  Urban                65         9.2
              Co.
Virginia     Westmoreland       3,024      18,704       16.2%  Rural                22         7.3
              Co.
Virginia     Wise Co.           7,949      35,324       22.5%  Rural                49         6.2
Virginia     Wythe Co.          4,399      28,143       15.6%  Rural                45        10.2
Virginia     York Co.           3,145      71,209        4.4%  Urban                42        13.4
Virginia     Alexandria        11,297     155,235        7.3%  Urban                81         7.2
              City
Virginia     Bristol City       4,508      16,884       26.7%  Urban                32         7.1  8Higher-
                                                                                                     risk0
Virginia     Buena Vista          941       6,567       14.3%  Rural                 9         9.6
              City
Virginia     Charlottesvi       4,465      45,223        9.9%  Urban                50        11.2
              lle City
Virginia     Chesapeake        21,643     252,493        8.6%  Urban               177         8.2
              City
Virginia     Colonial           2,624      18,265       14.4%  Urban                27        10.3
              Heights
              City
Virginia     Covington          1,255       5,668       22.1%  Rural                13        10.4
              City
Virginia     Danville          12,748      42,099       30.3%  Rural                75         5.9  8Higher-
              City                                                                                   risk0
Virginia     Emporia City       1,847       5,524       33.4%  Rural                 3         1.6  8Higher-
                                                                                                     risk0
Virginia     Fairfax City         975      24,825        3.9%  Urban                29        29.7
Virginia     Falls Church         393      14,518        2.7%  Urban                14        35.6
              City
Virginia     Franklin           2,531       8,259       30.6%  Rural                15         5.9  8Higher-
              City                                                                                   risk0
Virginia     Fredericksbu       4,144      28,709       14.4%  Urban                32         7.7
              rg City
Virginia     Galax City         1,634       6,724       24.3%  Rural                18        11.0
Virginia     Hampton City      22,693     137,970       16.4%  Urban               129         5.7
Virginia     Harrisonburg       4,703      51,207        9.2%  Urban                64        13.6
              City
Virginia     Hopewell           6,783      22,848       29.7%  Urban                34         5.0  8Higher-
              City                                                                                   risk0
Virginia     Lexington            365       7,508        4.9%  Rural                 4        11.0
              City
Virginia     Lynchburg         12,506      79,279       15.8%  Urban                73         5.8
              City
Virginia     Manassas           3,567      42,710        8.4%  Urban                39        10.9
              City
Virginia     Manassas           1,181      16,675        7.1%  Urban                 6         5.1
              Park City
Virginia     Martinsville       3,966      13,686         29%  Rural                23         5.8  8Higher-
              City                                                                                   risk0
Virginia     Newport News      34,591     184,004       18.8%  Urban               189         5.5
              City
Virginia     Norfolk City      40,498     232,766       17.4%  Urban               193         4.8
Virginia     Norton City        1,049       3,594       29.2%  Rural                13        12.4
Virginia     Petersburg        11,325      33,481       33.8%  Urban                59         5.2  8Higher-
              City                                                                                   risk0
Virginia     Poquoson             391      12,624        3.1%  Urban                10        25.6
              City
Virginia     Portsmouth        23,307      96,989         24%  Urban                91         3.9  8Higher-
              City                                                                                   risk0
Virginia     Radford City       1,562      16,723        9.3%  Urban                14         9.0
Virginia     Richmond          39,112     228,670       17.1%  Urban               227         5.8
              City
Virginia     Roanoke City      21,793      97,743       22.3%  Urban               144         6.6
Virginia     Salem City         1,790      25,698          7%  Urban                26        14.5
Virginia     Staunton           3,166      25,942       12.2%  Urban                37        11.7
              City
Virginia     Suffolk City      11,554      98,630       11.7%  Urban                73         6.3
Virginia     Virginia          32,410     454,886        7.1%  Urban               307         9.5
              Beach City
Virginia     Waynesboro         3,247      22,742       14.3%  Urban                27         8.3
              City
Virginia     Williamsburg       1,140      15,757        7.2%  Urban                17        14.9
              City
Virginia     Winchester         3,487      27,919       12.5%  Urban                39        11.2
              City
Washington   Adams Co.          4,432      20,843       21.3%  Rural                21         4.7
Washington   Asotin Co.         4,295      22,497       19.1%  Urban                12         2.8
Washington   Benton Co.        30,900     212,838       14.5%  Urban               152         4.9
Washington   Chelan Co.         9,437      80,032       11.8%  Urban                66         7.0
Washington   Clallam Co.       10,680      77,675       13.7%  Rural                63         5.9
Washington   Clark Co.         56,603     517,036       10.9%  Urban               277         4.9
Washington   Columbia Co.         706       4,018       17.6%  Rural                 5         7.1
Washington   Cowlitz Co.       21,365     112,058       19.1%  Urban                96         4.5
Washington   Douglas Co.        4,978      44,147       11.3%  Urban                28         5.6
Washington   Ferry Co.          1,659       7,435       22.3%  Rural                 9         5.4
Washington   Franklin Co.      15,596      98,461       15.8%  Urban                84         5.4
Washington   Garfield Co.         329       2,355         14%  Rural                 3         9.1
Washington   Grant Co.         19,306     101,308       19.1%  Rural               103         5.3
Washington   Grays Harbor      15,955      77,080       20.7%  Rural                96         6.0
              Co.
Washington   Island Co.         6,158      86,744        7.1%  Rural                32         5.2
Washington   Jefferson          3,282      33,597        9.8%  Rural                23         7.0
              Co.
Washington   King Co.         189,993   2,271,238        8.4%  Urban             1,235         6.5
Washington   Kitsap Co.        25,174     277,876        9.1%  Urban               151         6.0
Washington   Kittitas Co.       4,397      47,368        9.3%  Rural                37         8.4
Washington   Klickitat          3,454      23,248       14.9%  Rural                16         4.6
              Co.
Washington   Lewis Co.         14,638      85,307       17.2%  Rural               110         7.5
Washington   Lincoln Co.        1,536      11,609       13.2%  Rural                 9         5.9
Washington   Mason Co.         10,736      68,238       15.7%  Rural                49         4.6
Washington   Okanogan Co.       9,202      43,255       21.3%  Rural                62         6.7
Washington   Pacific Co.        3,935      24,067       16.4%  Rural                27         6.9
Washington   Pend Oreille       2,668      14,153       18.9%  Rural                12         4.5
              Co.
Washington   Pierce Co.       114,807     927,313       12.4%  Urban               545         4.7
Washington   San Juan Co.         967      18,666        5.2%  Rural                12        12.4
Washington   Skagit Co.        16,709     131,229       12.7%  Urban               116         6.9
Washington   Skamania Co.       1,254      12,454       10.1%  Urban                11         8.8
Washington   Snohomish         72,590     841,529        8.6%  Urban               480         6.6
              Co.
Washington   Spokane Co.       83,972     549,835       15.3%  Urban               367         4.4
Washington   Stevens Co.        8,270      48,273       17.1%  Urban                47         5.7
Washington   Thurston Co.      34,777     298,645       11.6%  Urban               192         5.5
Washington   Wahkiakum            610       4,691         13%  Rural                 5         8.2
              Co.
Washington   Walla Walla        8,213      62,085       13.2%  Urban                46         5.6
              Co.
Washington   Whatcom Co.       25,033     230,701       10.9%  Urban               160         6.4
Washington   Whitman Co.        4,119      47,653        8.6%  Rural                24         5.8
Washington   Yakima Co.        60,264     256,566       23.5%  Urban               250         4.1  8Higher-
                                                                                                     risk0
West         Barbour Co.        3,127      15,397       20.3%  Rural                15         4.8
 Virginia
West         Berkeley Co.      15,964     129,538       12.3%  Urban                87         5.4
 Virginia
West         Boone Co.          5,449      20,925         26%  Urban                30         5.5  8Higher-
 Virginia                                                                                            risk0
West         Braxton Co.        2,989      12,158       24.6%  Rural                22         7.4  8Higher-
 Virginia                                                                                            risk0
West         Brooke Co.         2,645      21,739       12.2%  Urban                26         9.8
 Virginia
West         Cabell Co.        17,263      92,501       18.7%  Urban                97         5.6
 Virginia
West         Calhoun Co.        1,786       6,056       29.5%  Rural                14         7.8  8Higher-
 Virginia                                                                                            risk0
West         Clay Co.           2,804       7,819       35.9%  Urban                13         4.6  8Higher-
 Virginia                                                                                            risk0
West         Doddridge          1,189       7,719       15.4%  Rural                 6         5.0
 Virginia     Co.
West         Fayette Co.        8,425      39,411       21.4%  Urban                58         6.9
 Virginia
West         Gilmer Co.         1,253       7,309       17.1%  Rural                 9         7.2
 Virginia
West         Grant Co.          1,877      10,965       17.1%  Rural                11         5.9
 Virginia
West         Greenbrier         6,011      32,348       18.6%  Rural                58         9.6
 Virginia     Co.
West         Hampshire          3,594      23,464       15.3%  Urban                30         8.3
 Virginia     Co.
West         Hancock Co.        3,996      28,265       14.1%  Urban                29         7.3
 Virginia
West         Hardy Co.          2,128      14,196         15%  Rural                20         9.4
 Virginia
West         Harrison Co.       9,335      64,683       14.4%  Rural                83         8.9
 Virginia
West         Jackson Co.        5,311      27,624       19.2%  Rural                38         7.2
 Virginia
West         Jefferson          5,099      58,957        8.6%  Urban                50         9.8
 Virginia     Co.
West         Kanawha Co.       32,205     175,899       18.3%  Urban               213         6.6
 Virginia
West         Lewis Co.          3,630      16,719       21.7%  Rural                26         7.2
 Virginia
West         Lincoln Co.        5,697      19,862       28.7%  Rural                27         4.7  8Higher-
 Virginia                                                                                            risk0
West         Logan Co.          8,203      31,251       26.2%  Rural                48         5.9  8Higher-
 Virginia                                                                                            risk0
West         McDowell Co.       6,704      17,790       37.7%  Rural                35         5.2  8Higher-
 Virginia                                                                                            risk0
West         Marion Co.         9,169      55,799       16.4%  Rural                70         7.6
 Virginia
West         Marshall Co.       4,731      29,722       15.9%  Urban                25         5.3
 Virginia
West         Mason Co.          5,149      24,938       20.6%  Rural                36         7.0
 Virginia
West         Mercer Co.        14,038      58,599         24%  Rural                69         4.9  8Higher-
 Virginia                                                                                            risk0
West         Mineral Co.        3,618      26,872       13.5%  Rural                31         8.6
 Virginia
West         Mingo Co.          7,871      22,427       35.1%  Rural                23         2.9  8Higher-
 Virginia                                                                                            risk0
West         Monongalia         8,567     106,921          8%  Urban                78         9.1
 Virginia     Co.
West         Monroe Co.         1,922      12,314       15.6%  Rural                14         7.3
 Virginia
West         Morgan Co.         2,293      17,380       13.2%  Urban                17         7.4
 Virginia
West         Nicholas Co.       5,477      24,266       22.6%  Rural                46         8.4
 Virginia
West         Ohio Co.           6,964      41,473       16.8%  Urban                44         6.3
 Virginia
West         Pendleton            960       6,051       15.9%  Rural                10        10.4
 Virginia     Co.
West         Pleasants          1,181       7,564       15.6%  Rural                 6         5.1
 Virginia     Co.
West         Pocahontas         1,407       7,776       18.1%  Rural                18        12.8
 Virginia     Co.
West         Preston Co.        5,322      34,196       15.6%  Urban                40         7.5
 Virginia
West         Putnam Co.         6,441      57,070       11.3%  Urban                62         9.6
 Virginia
West         Raleigh Co.       15,976      72,863       21.9%  Urban                97         6.1
 Virginia
West         Randolph Co.       4,995      27,539       18.1%  Rural                35         7.0
 Virginia
West         Ritchie Co.        1,894       8,239         23%  Rural                18         9.5
 Virginia
West         Roane Co.          3,164      13,794       22.9%  Rural                16         5.1  8Higher-
 Virginia                                                                                            risk0
West         Summers Co.        3,077      11,711       26.3%  Rural                17         5.5  8Higher-
 Virginia                                                                                            risk0
West         Taylor Co.         2,661      16,386       16.2%  Rural                14         5.3
 Virginia
West         Tucker Co.           955       6,625       14.4%  Rural                 9         9.4
 Virginia
West         Tyler Co.          1,559       8,081       19.3%  Rural                 9         5.8
 Virginia
West         Upshur Co.         4,811      23,715       20.3%  Rural                35         7.3
 Virginia
West         Wayne Co.          7,838      38,025       20.6%  Urban                46         5.9
 Virginia
West         Webster Co.        2,785       8,125       34.3%  Rural                14         5.0  8Higher-
 Virginia                                                                                            risk0
West         Wetzel Co.         3,091      14,027         22%  Rural                21         6.8
 Virginia
West         Wirt Co.           1,402       5,095       27.5%  Urban                 7         5.0  8Higher-
 Virginia                                                                                            risk0
West         Wood Co.          14,748      83,364       17.7%  Urban                97         6.6
 Virginia
West         Wyoming Co.        4,745      20,570       23.1%  Rural                29         6.1  8Higher-
 Virginia                                                                                            risk0
Wisconsin    Adams Co.          3,421      21,211       16.1%  Rural                13         3.8
Wisconsin    Ashland Co.        2,869      16,037       17.9%  Rural                21         7.3
Wisconsin    Barron Co.         5,621      46,828         12%  Rural                52         9.3
Wisconsin    Bayfield Co.       1,889      16,664       11.3%  Rural                17         9.0
Wisconsin    Brown Co.         28,908     270,561       10.7%  Urban               194         6.7
Wisconsin    Buffalo Co.        1,051      13,400        7.8%  Rural                10         9.5
Wisconsin    Burnett Co.        2,231      16,973       13.1%  Rural                19         8.5
Wisconsin    Calumet Co.        2,521      52,745        4.8%  Urban                17         6.7
Wisconsin    Chippewa Co.       6,428      66,775        9.6%  Urban                47         7.3
Wisconsin    Clark Co.          3,035      34,742        8.7%  Rural                28         9.2
Wisconsin    Columbia Co.       5,016      58,337        8.6%  Urban                52        10.4
Wisconsin    Crawford Co.       1,991      16,032       12.4%  Rural                23        11.6
Wisconsin    Dane Co.          45,035     570,869        7.9%  Urban               349         7.7
Wisconsin    Dodge Co.          7,832      88,539        8.8%  Rural                58         7.4
Wisconsin    Door Co.           2,103      30,597        6.9%  Rural                32        15.2
Wisconsin    Douglas Co.        5,430      44,238       12.3%  Urban                29         5.3
Wisconsin    Dunn Co.           4,251      45,676        9.3%  Rural                33         7.8
Wisconsin    Eau Claire        10,226     106,835        9.6%  Urban                69         6.7
              Co.
Wisconsin    Florence Co.         550       4,708       11.7%  Rural                 3         5.5
Wisconsin    Fond du Lac        9,461     104,010        9.1%  Urban                68         7.2
              Co.
Wisconsin    Forest Co.         1,571       9,344       16.8%  Rural                12         7.6
Wisconsin    Grant Co.          4,673      51,337        9.1%  Rural                47        10.1
Wisconsin    Green Co.          2,896      36,864        7.9%  Urban                27         9.3
Wisconsin    Green Lake         2,019      19,241       10.5%  Rural                16         7.9
              Co.
Wisconsin    Iowa Co.           1,897      23,959        7.9%  Urban                13         6.9
Wisconsin    Iron Co.             777       6,221       12.5%  Rural                 8        10.3
Wisconsin    Jackson Co.        2,678      20,930       12.8%  Rural                18         6.7
Wisconsin    Jefferson          6,977      85,809        8.1%  Rural                54         7.7
              Co.
Wisconsin    Juneau Co.         4,179      26,743       15.6%  Rural                34         8.1
Wisconsin    Kenosha Co.       22,153     167,920       13.2%  Urban               124         5.6
Wisconsin    Kewaunee Co.       1,382      20,681        6.7%  Urban                16        11.6
Wisconsin    La Crosse         10,550     120,359        8.8%  Urban                66         6.3
              Co.
Wisconsin    Lafayette          1,406      16,926        8.3%  Rural                12         8.5
              Co.
Wisconsin    Langlade Co.       3,281      19,528       16.8%  Rural                24         7.3
Wisconsin    Lincoln Co.        3,104      28,345         11%  Rural                25         8.1
Wisconsin    Manitowoc          7,733      81,256        9.5%  Rural                52         6.7
              Co.
Wisconsin    Marathon Co.      12,410     138,175          9%  Urban               112         9.0
Wisconsin    Marinette          5,224      42,000       12.4%  Rural                55        10.5
              Co.
Wisconsin    Marquette          1,852      15,776       11.7%  Rural                18         9.7
              Co.
Wisconsin    Menominee          2,075       4,199       49.4%  Rural                 7         3.4  8Higher-
              Co.                                                                                    risk0
Wisconsin    Milwaukee        241,787     921,977       26.2%  Urban               857         3.5  8Higher-
              Co.                                                                                    risk0
Wisconsin    Monroe Co.         5,282      46,021       11.5%  Rural                47         8.9
Wisconsin    Oconto Co.         3,545      39,660        8.9%  Urban                40        11.3
Wisconsin    Oneida Co.         3,816      38,267         10%  Rural                41        10.7
Wisconsin    Outagamie         13,559     192,561          7%  Urban               131         9.7
              Co.
Wisconsin    Ozaukee Co.        3,172      93,115        3.4%  Urban                46        14.5
Wisconsin    Pepin Co.            542       7,400        7.3%  Rural                 8        14.8
Wisconsin    Pierce Co.         2,063      42,597        4.8%  Urban                32        15.5
Wisconsin    Polk Co.           4,243      45,608        9.3%  Rural                51        12.0
Wisconsin    Portage Co.        5,970      70,799        8.4%  Rural                53         8.9
Wisconsin    Price Co.          1,824      14,178       12.9%  Rural                19        10.4
Wisconsin    Racine Co.        30,068     196,710       15.3%  Urban               145         4.8
Wisconsin    Richland Co.       2,275      17,161       13.3%  Rural                14         6.2
Wisconsin    Rock Co.          24,794     163,959       15.1%  Urban               130         5.2
Wisconsin    Rusk Co.           2,373      14,180       16.7%  Rural                17         7.2
Wisconsin    St. Croix          4,469      96,138        4.6%  Urban                56        12.5
              Co.
Wisconsin    Sauk Co.           7,475      65,916       11.3%  Rural                61         8.2
Wisconsin    Sawyer Co.         2,877      18,575       15.5%  Rural                17         5.9
Wisconsin    Shawano Co.        4,790      41,017       11.7%  Rural                38         7.9
Wisconsin    Sheboygan         12,299     117,860       10.4%  Urban                83         6.7
              Co.
Wisconsin    Taylor Co.         1,824      19,946        9.1%  Rural                13         7.1
Wisconsin    Trempealeau        2,599      30,920        8.4%  Rural                31        11.9
              Co.
Wisconsin    Vernon Co.         2,775      31,110        8.9%  Urban                26         9.4
Wisconsin    Vilas Co.          3,090      23,755         13%  Rural                23         7.4
Wisconsin    Walworth Co.       8,541     105,705        8.1%  Rural                71         8.3
Wisconsin    Washburn Co.       1,989      16,915       11.8%  Rural                17         8.5
Wisconsin    Washington         7,020     137,999        5.1%  Urban                73        10.4
              Co.
Wisconsin    Waukesha Co.      15,937     411,061        3.9%  Urban               212        13.3
Wisconsin    Waupaca Co.        4,816      51,645        9.3%  Rural                43         8.9
Wisconsin    Waushara Co.       2,948      24,932       11.8%  Rural                20         6.8
Wisconsin    Winnebago         16,496     171,049        9.6%  Urban               117         7.1
              Co.
Wisconsin    Wood Co.           9,931      73,849       13.4%  Rural                64         6.4
Wyoming      Albany Co.         1,451      38,361        3.8%  Rural                15        10.3
Wyoming      Big Horn Co.         639      11,876        5.4%  Rural                10        15.6
Wyoming      Campbell Co.       2,160      47,049        4.6%  Rural                33        15.3
Wyoming      Carbon Co.           717      14,527        4.9%  Rural                17        23.7
Wyoming      Converse Co.         776      13,774        5.6%  Rural                11        14.2
Wyoming      Crook Co.             99       7,417        1.3%  Rural                 8        80.8
Wyoming      Fremont Co.        4,483      39,545       11.3%  Rural                29         6.5
Wyoming      Goshen Co.           683      12,638        5.4%  Rural                 4         5.9
Wyoming      Hot Springs          243       4,609        5.3%  Rural                 4        16.5
              Co.
Wyoming      Johnson Co.          237       8,735        2.7%  Rural                10        42.2
Wyoming      Laramie Co.        5,214     100,860        5.2%  Urban                60        11.5
Wyoming      Lincoln Co.          431      20,690        2.1%  Rural                16        37.1
Wyoming      Natrona Co.        5,662      79,565        7.1%  Urban                49         8.7
Wyoming      Niobrara Co.         207       2,346        8.8%  Rural                 3        14.5
Wyoming      Park Co.             943      30,530        3.1%  Rural                17        18.0
Wyoming      Platte Co.           481       8,655        5.6%  Rural                10        20.8
Wyoming      Sheridan Co.       1,195      32,049        3.7%  Rural                15        12.6
Wyoming      Sublette Co.         144       8,767        1.6%  Rural                10        69.4
Wyoming      Sweetwater         2,288      41,322        5.5%  Rural                34        14.9
              Co.
Wyoming      Teton Co.             49      23,341        0.2%  Rural                 6       122.4
Wyoming      Uinta Co.          1,205      20,722        5.8%  Rural                17        14.1
Wyoming      Washakie Co.         294       7,728        3.8%  Rural                 5        17.0
Wyoming      Weston Co.           356       6,872        5.2%  Rural                10        28.1
\9\ https://
 www.fns.us
 da.gov/
 snap/store-
 definition
 s.
\10\ https:/
 /usda-snap-
 retailers-
 usda-
 fns.hub.ar
 cgis.com/
 datasets/
 USDA-
 FNS::snap-
 retailer-
 location-
 data/
 about.
\11\ https:/
 /www.censu
 s.gov/data/
 datasets/
 time-
 series/
 demo/saipe/
 model-
 tables.htm
 l.
\12\ https:/
 /www.censu
 s.gov/data/
 datasets/
 time-
 series/
 demo/
 popest/
 2020s-
 counties-
 total.html
 #v2024.
\13\ https:/
 /www.ers.u
 sda.gov/
 data-
 products/
 rural-
 urban-
 continuum-
 codes.
\14\ https:/
 /github.co
 m/CT-Data-
 Collaborat
 ive/zip-to-
 planningre
 gion/blob/
 main/
 README.md.
\15\ https:/
 /www.ameri
 canprogres
 s.org/wp-
 content/
 uploads/
 sites/2/
 2025/05/
 Higher-
 risk-SNAP-
 retailers.
 xlsx.
----------------------------------------------------------------------------------------------------------------
Notes: The authors measured the SNAP retailers per 1,000 SNAP participants ratio as an indicator of food access
  for people who receive assistance through SNAP. Retailers within counties that were below the median ratio and
  in the top ten percent of counties with the highest SNAP participation were marked as being most at risk of
  being harmed by cuts in food assistance. Because the SNAP retailers data does not account for Connecticut's
  transition from counties to planning regions, retailer addresses were crosswalked using ZIP [C]odes. However,
  the crosswalk is not exact since some ZIP codes cross planning region boundaries.
Source: For a list of definitions for the included store types, see U.S. Department of Agriculture, ``SNAP Store
  Type Definitions'' \9\ (last accessed April 2025). U.S. Department of Agriculture, ``SNAP Retailer Location
  Data'' \10\ (last accessed April 2025); U.S. Census Bureau, ``SAIPE Model Input Data: County SNAP Benefits
  Data,'' \11\ December 16, 2024; U.S. Census Bureau, ``Annual Resident Population Estimates, Estimated
  Components of Resident Population Change, and Rates of the Components of Resident Population Change for States
  and Counties: April 1, 2020 to July 1, 2024,'' \12\ March 12, 2025; U.S. Department of Agriculture, ``2023
  Rural-Urban Continuum Codes'' \13\ (last accessed April 2025); CT Data Collaborative, ``Connecticut ZIP to
  Planning Region Crosswalk,'' \14\ September 13, 2023.
Table: Center for American Progress.
Download the list of individual SNAP retailers at higher risk here.\15\

    The U.S. House Committee on Agriculture will soon release its 
proposal for what are likely to be the largest cuts to the Supplemental 
Nutrition Assistance Program (SNAP) in its history.\16\ Options under 
consideration reportedly include forcing states to take on a portion of 
benefit costs \17\ for the first time; \18\ freezing \19\ benefit 
increases from future Thrifty Food Plan adjustments; and expanding \20\ 
burdensome work requirements to older Americans and families with 
children \21\--all of which would cut at the heart of the nation's food 
assistance system. Cuts to SNAP would not just affect Americans 
enrolled in the program but would also pull the rug out from under 
grocers, farmers, and the broader economy.\22\ A new Center for 
American Progress analysis identifies the 27,000 authorized SNAP 
retailers that would be at higher risk of financial hardship in 
response to such cuts.
---------------------------------------------------------------------------
    \16\ https://unidosus.org/blog/2025/02/24/house-budget-resolutions-
cuts-to-snap-largest-in-us-history/.
    \17\ https://www.huffpost.com/entry/snap-cuts-budget-
reconciliation-beautiful_n_6813a6ffe4b0964363620874.
    \18\ https://www.americanprogress.org/article/shifting-snap-costs-
to-states-would-make-future-recessions-worse/.
    \19\ https://www.politico.com/live-updates/2025/05/06/congress/
house-republicans-snap-food-aid-00330620.
    \20\ https://www.foxnews.com/politics/escape-poverty-millions-more-
food-stamp-recipients-required-work-under-new-house-gop-proposal.
    \21\ https://www.cbpp.org/research/food-assistance/worsening-snaps-
harsh-work-requirement-would-take-food-assistance-away.
    \22\ https://www.americanprogress.org/article/shifting-snap-costs-
to-states-would-make-future-recessions-worse/.
---------------------------------------------------------------------------
Retailers in counties with high SNAP usage and low food access are at 
        higher risk
    The impacts of cuts to SNAP are likely to be felt most strongly in 
areas with the highest rates of SNAP participation. In these 
communities, even if a family doesn't personally see their budget for 
food reduced, community residents could see their local grocer close. 
Families that see their benefits reduced or taken away entirely will 
have fewer resources to pay for the costs of rising food prices,\23\ 
meaning more people will go hungry as sales at authorized SNAP 
retailers fall. This can be particularly difficult for businesses in 
communities with high rates of SNAP participation that depend on the 
revenue from these benefits. As Figure 1 shows, more than 27,000 
retailers in over 300 counties across the country could soon face 
severe financial hardship if cuts to food assistance were to be 
enacted.
---------------------------------------------------------------------------
    \23\ https://www.americanprogress.org/article/the-congressional-
republican-budget-plan-will-hurt-americans-wallets/.
---------------------------------------------------------------------------
    To determine which businesses are most likely to be harmed by SNAP 
cuts, the authors utilized two county-level factors. First, the authors 
identified the top ten percent of counties with the highest SNAP 
participation rates \24\ relative to the total population, based on 
administrative participant data \25\ for 2022--the latest available--as 
well as U.S. Census Bureau population data.\26\ Second, the authors 
used a ratio for the number of SNAP retailers per 1,000 SNAP 
recipients, with counties below the median ratio having limited options 
for families receiving assistance to use their benefits. The 27,266 
businesses in the 303 counties that met both criteria are classified as 
being at higher risk from SNAP cuts. This includes 3,721 smaller 
grocery stores, 994 specialty stores, and 600 farmers and markets.
---------------------------------------------------------------------------
    \24\ https://www.census.gov/data-tools/demo/saipe_treemap/
saipe_snap_treemap.html.
    \25\ https://www.census.gov/programs-surveys/saipe/guidance/model-
input-data/snap.html.
    \26\ https://www.census.gov/data/tables/time-series/demo/popest/
2020s-counties-total.html.

          95 percent of counties with the highest rates of people 
        receiving SNAP have limited access to retailers that accept 
---------------------------------------------------------------------------
        SNAP benefits.

    Importantly, access to authorized SNAP retailers fell with rising 
SNAP participation. In fact, 95 percent of counties with the highest 
rates of people receiving SNAP have limited access to retailers that 
accept SNAP benefits, highlighting the disparities in food access \27\ 
among poorer parts of the country. Even if there are other stores 
nearby, families receiving assistance can be limited by those that 
accept SNAP. Rural areas are disproportionately represented among these 
high-risk counties, making up 77 percent of these areas despite only 
representing 62 percent of counties, according to the Department of 
Agriculture's Rural-Urban Continuum Codes.\28\ The relatively few 
businesses within these communities that accept SNAP payments are 
essential for meeting the needs of families that already struggle 
affording enough food. Cutting SNAP benefits would put the future of 
these businesses at risk by slashing a substantial source of revenue.
---------------------------------------------------------------------------
    \27\ https://www.aecf.org/blog/communities-with-limited-food-
access-in-the-united-states.
    \28\ https://www.ers.usda.gov/data-products/rural-urban-continuum-
codes.
---------------------------------------------------------------------------
SNAP is a lifeline for rural economies and small grocers
    Cuts to food assistance will have strong negative impacts on 
families' budgets and will lead to decreases \29\ in spending on food 
and other household goods, causing ripple effects for communities' 
local economies. In rural areas, $1 of SNAP spending generates roughly 
$1.50 \30\ in local economic activity during recessions. Prior research 
\31\ also demonstrates that SNAP dollars have a larger relative 
positive impact on rural economies by increasing employment and 
economic output than it does for urban economies.
---------------------------------------------------------------------------
    \29\ https://www.commonwealthfund.org/publications/issue-briefs/
2025/mar/how-cuts-medicaid-snap-could-trigger-job-loss-state-revenue.
    \30\ https://ers.usda.gov/sites/default/files/_laserfiche/
publications/93529/ERR-265.pdf?v=84771.
    \31\ https://www.ers.usda.gov/publications/pub-
details?pubid=102286.
---------------------------------------------------------------------------
    Grocery retailers of all sizes should expect \32\ shocks to their 
revenue following cuts in food assistance. SNAP benefits are vital to 
the economic stability of the grocery industry and related jobs in 
agriculture. In 2020, SNAP supported nearly 199,000 \33\ jobs within 
the independent grocery industry and another 45,000 jobs \34\ in 
related industries such as agriculture, manufacturing, transportation, 
and local services.
---------------------------------------------------------------------------
    \32\ https://www.cnbc.com/2025/04/16/proposed-snap-cuts-pressure-
low-income-shoppers-retailers.html.
    \33\ https://grocers.guerrillaeconomics.net/res/Methodology.pdf.
    \34\ https://frac.org/blog/part-3-the-real-cost-of-cutting-snap-
jobs-lost-stores-closed-communities-undermined.

          ``Some stores in low-income neighborhoods have more than 50 
        percent SNAP sales. A 20 percent cut to SNAP would make it very 
        difficult for stores like this, in food deserts, to remain 
        open.''
                        Stephanie Johnson, National Grocers Association

    Grocers,\35\ farmers,\36\ and researchers \37\ are already 
expressing concerns about how SNAP cuts will impact grocery retailers 
across the nation. In an interview,\38\ Stephanie Johnson of the 
National Grocers Association stressed the connection between SNAP sales 
and independent grocers, saying, ``Some stores in low-income 
neighborhoods have more than 50 percent SNAP sales. A 20 percent cut to 
SNAP would make it very difficult for stores like this, in food 
deserts, to remain open.'' A March 2025 study \39\ published by the 
Commonwealth Fund estimates that the cuts proposed in the House budget 
resolution would result in the loss of almost 78,000 food-related jobs 
in agriculture, retail grocery, and food processing, as well as 65,000 
jobs in other industries, as local economies feel the impacts of 
decreased economic spending. Losing these 143,000 jobs would devastate 
communities and only worsen food access in rural areas.
---------------------------------------------------------------------------
    \35\ https://frac.org/blog/part-5-when-snap-slips-small-towns-
suffer-the-hidden-costs-of-cutting-food-assistance.
    \36\ https://frac.org/blog/snap-cuts-threaten-the-fabric-of-rural-
communities-farms-families-and-small-businesses.
    \37\ https://www.splcenter.org/resources/stories/effects-cuts-snap-
federal-food-program-across-south/.
    \38\ https://frac.org/blog/part-3-the-real-cost-of-cutting-snap-
jobs-lost-stores-closed-communities-undermined.
    \39\ https://www.commonwealthfund.org/publications/issue-briefs/
2025/mar/how-cuts-medicaid-snap-could-trigger-job-loss-state-revenue.
---------------------------------------------------------------------------
Conclusion
    Cutting food assistance would destabilize the food industry amid a 
period of already great uncertainty. The hardship generated by 
reductions in SNAP sales for retailers that depend on customers having 
access to these benefits coincides with the expected rising cost of 
goods \40\ due to Trump's tariffs and the growing fears \41\ of an 
upcoming recession. Grocery stores that are forced to cut staff and 
close in response to reduced food purchasing will further limit access 
to food in communities across the country, even for consumers who do 
not use SNAP.
---------------------------------------------------------------------------
    \40\ https://www.americanprogress.org/article/examples-of-
potential-consumer-price-hikes-under-trumps-tariffs/.
    \41\ https://www.npr.org/2025/04/30/nx-s1-5380204/trump-economy-
gdp-tariffs-recession-consumers.

    The authors would like to thank Lily Roberts, Joe Radosevich, 
Natalie Baker, Emily Gee, Colin Seeberger, Madeline Shepherd, Jerry 
Parshall, Bianca Serbin, Bill Rapp, and Will Beaudouin for their 
feedback.
Contacts
Press
Julia Cusick, Vice President, Communications, 
jcusick@americanprogress.org
Government Affairs
Madeline Shepherd, Senior Director, Government Affairs, mshep
herd@americanprogress.org

Jerry Parshall, Senior Director, Safety and Justice Campaign; Director, 
State and Local Government Affairs, jparshall@americanprogress.org

          The positions of American Progress, and our policy experts, 
        are independent, and the findings and conclusions presented are 
        those of American Progress alone. American Progress would like 
        to acknowledge the many generous supporters who make our work 
        possible.
                               article 2

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[https://www.marketplace.org/story/2025/06/03/trumps-steel-and-
aluminum-tariffs-could-drive-up-grocery-costs]

Jun. 3, 2025
How tariffs on steel and aluminum could show up on your grocery bill
    Tariffs on steel and aluminum impact everything from packaging to 
the bottom lines of stores like Walmart.

Trade War 2.0 \1\ By Samantha Fields \2\
---------------------------------------------------------------------------
    \1\ https://www.marketplace.org/trade-war-2-0.
    \2\ https://www.marketplace.org/author/samantha-fields.

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]
    
          Canned food could get more expensive if the cost of steel and 
        aluminum goes up. And if food distributors switch to, say, 
        plastic, the cost of food in plastic could go up too.
          Ronaldo Schemidt/AFP via Getty Images.

    What's the first thing you thought about when you heard President 
Donald Trump was doubling tariffs on steel and aluminum? The price of 
groceries? Yes, no, us neither.
    President Trump campaigned on the promise that he would lower 
prices, including food prices. But his decision to double tariffs on 
steel and aluminum to 50% is likely to have the opposite effect,\3\ 
including when it comes to grocery bills.
---------------------------------------------------------------------------
    \3\ https://www.marketplace.org/story/2025/03/03/what-do-trumps-
tariffs-mean-for-your-grocery-bill.
---------------------------------------------------------------------------
    ``Tariffs on inputs like steel and aluminum may not seem that 
connected to food, but they are critical for packaging,'' said David 
Ortega, a food economist and professor at Michigan State University.
    He said to think about all those canned goods you buy: canned tuna, 
soda, beer, pet food. They're all packaged in steel or aluminum.
    Usha Haley, a professor at the Barton School of Business at Wichita 
State University, said most of it is imported.
    ``The United States just does not produce enough steel. And the 
U.S. imports nearly 70% of tinplate steel that manufacturers use for 
cans of fruits, vegetables, essential foods and pet foods,'' she said.
    If these tariffs remain in effect, she said, we're likely to start 
seeing all sorts of prices go up at the grocery store. And not just on 
canned goods.
    For instance, if companies that currently use aluminum to package 
certain products, like soda, start using more plastic instead, that 
could cause plastic--and anything packaged in it--to get more 
expensive, too.
    ``There are also indirect costs. The costs of transportation, the 
cost of fixing up trucks etc.,'' Haley said. All of which also get more 
expensive as steel and aluminum do. And that can trickle down into the 
prices we pay for pretty much everything at the store.
    John Clear, a partner on the retail team at AlixPartners, said 
retailers are in a tough spot: ``Consumers are super conscious of all 
the price increases, so they know they're losing trust. But also they 
don't have a lot of room in their margins to continue to swallow 
costs,'' he said.
    Especially after pandemic supply chain issues and the inflation 
that followed.
    So say a company that sells canned vegetables does decide to pass 
along the increased cost of a steel can to customers?
    Clear said that might only be an extra 2 to 5.
    ``Which doesn't seem a lot. But a can of sweet corn at Walmart is 
like 42 to 45,'' he said.
    So an extra 5 would make it cost about 10% more. A lot of people 
buying canned fruits and vegetables are on SNAP benefits,\4\ Clear 
said, which already don't go very far.
---------------------------------------------------------------------------
    \4\ https://www.marketplace.org/story/2023/03/21/one-mom-on-what-
the-end-of-additional-snap-benefits-means-to-her-family.
---------------------------------------------------------------------------
    ``So if you think that's replicated across a number of items within 
their basket every week, suddenly that actually becomes quite 
impactful, and will ultimately mean that they probably buy one less 
unit,'' he said.
    Which again, might not seem like a lot, but if you're a big company 
like Walmart and thousands of customers start buying one less can of 
corn at thousands of stores, it adds up.
                                 ______
                                 
Submitted Press Release by Hon. Salud O. Carbajal, a Representative In 
                        Congress from California
For Immediate Release

June 10, 2025
Farm Bureau of Ventura County Condemns ICE Activity in Oxnard
``ICE Threatens Our Industry, Our Economy, and Our Community''
    Ventura County, CA--The Farm Bureau of Ventura County, representing 
hundreds of farmers, ranchers, and agricultural businesses across the 
region, strongly condemns the actions taken by Immigration and Customs 
Enforcement (ICE) in Oxnard this morning. Reports indicate that ICE 
agents attempted to enter a local packing facility without a judicial 
warrant, conducted operations in agricultural fields, and initiated 
vehicle stops on roads frequently used by agricultural workers 
commuting to job sites.
    As working producers and stewards of Ventura County's $2 billion 
agricultural economy, we know firsthand that our industry cannot 
function without the contributions of our workforce. These are people 
we rely on, respect, and work alongside every day. They are skilled 
professionals who bring deep experience and an extraordinary work ethic 
to Ventura County's fields and ranches. Their labor is the reason our 
region is recognized as one of the most productive agricultural areas 
in the world.
    The conduct of ICE this morning, marked by racial profiling, 
intimidation, and attempts to enter private property without judicial 
authorization, constitutes an unacceptable escalation. This approach 
undermines constitutional rights and directly threatens the integrity 
of California's agricultural economy.
    Let us be unequivocal: racial profiling is illegal. Intimidation is 
not enforcement. Using fear to destabilize the workforce that powers 
our farms is a reckless and short-sighted tactic with far-reaching 
consequences. These actions erode community trust, disrupt harvests, 
and impose undue strain on operations large and small. When our 
workforce is afraid, fields go unharvested, packinghouses fall behind, 
and market supply chains, from local grocery stores to national 
retailers, are affected. This impacts every American whoeats.
    We urge swift and coordinated action at the local, state, and 
Federal levels to safeguard farmworkers and ensure the continued 
strength of our agricultural industry.

    Local Actions We Urge Ventura County and City Governments to Take:

   Law enforcement agencies must be trained on their 
        constitutional responsibilities, including the right to decline 
        unlawful orders from ICE, CBP, or other Federal entities. The 
        defense of ``I was just following orders'' is neither legally 
        nor morally sufficient. Officers must be empowered to uphold 
        civil liberties, not violate them.

   The Ventura County Sheriff's Office should implement a 
        policy to notify the Rapid Response Network (RRN) when ICE 
        operations occur, similar to how fire departments notify the 
        Red Cross during house fires. RRN offers legal assistance, 
        emergency support, and trauma-informed care to affected 
        families, resources essential to maintaining community 
        stability.

   We recommend the County train designated staff that work 
        throughout the county, such as Weights and Measure & Ag 
        Commissioner staff to serve as legal observers during ICE 
        operations. The presence of trained observers, who document and 
        question from a safe distance, has been shown to deter unlawful 
        detentions and reduce instances of racial profiling.

    State Legislative Action Needed:

    We call on California's Assemblymembers and State Senators to 
strengthen and expand protections for immigrant workers statewide. This 
includes:

   Standardized training for local agencies

   Stronger limits on cooperation with Federal immigration 
        enforcement

   Prohibitions against data-sharing or indirect involvement in 
        ICE operations

    Federal Oversight and De-escalation:

    We urge our Federal representatives to:

   Conduct immediate investigations into ICE activity in 
        Ventura County

   Withhold funding from operations that violate constitutional 
        protections

   Take legislative steps to reduce the militarization of 
        immigration enforcement in agricultural communities

    Farm Bureau members care deeply about their workers, not as 
abstract labor, but as human beings and valued community members who 
deserve dignity, safety, and respect. Ventura County agriculture 
depends on them. California's economy depends on them. America's food 
system depends on them.

    We invite our colleagues in local government, especially the 
Ventura County Board of Supervisors, city councils, and departments 
with direct community interface, such as Human Services, the Farmworker 
Resource Program, and Public Health, to add their voices and leadership 
to this effort.

    Media Contact:

  Farm Bureau of Ventura County
  Maureen McGuire
  (805) 310-3620
  Maureen@farmbureauvc.com
                                 ______
                                 
                          Submitted Questions
Response from Hon. Brooke Rollins, Secretary, U.S. Department of 
        Agriculture
Questions Submitted by Hon. Glenn Thompson, a Representative in 
        Congress from Pennsylvania
    Question 1. While the farm bill provides significant funding for 
voluntary farm conservation programs each year, the demand for the 
programs far exceeds the available funding. To allow for additional 
funding, the SUSTAINS Act was introduced to allow for private donations 
directly into the existing programs including EQIP, CSP and RCPP. The 
authority has now been law for several years but was never implemented 
by the Biden Administration. Can you provide the Committee with update 
on implementation of the SUSTAINS Act?
    Answer. Unfortunately, the Biden Administration failed to fulfill 
its duty of implementing the SUSTAINS Act. USDA is working to formulate 
a plan to execute and implement the program moving forward.

    Question 2. On April 14, 2025, USDA announced that the Climate-
Smart Commodities Program is being reformed as the Advancing Markets 
for Producers (AMP) initiative. Can you update the Committee on the 
status of the reworked initiative? What is the process for AMP and what 
guidance has USDA given program participants that wish to modify their 
application or project? Is there a timeframe for projects to be 
resubmitted and approved?
    Answer. Recipients for all projects were given the opportunity to 
continue work in AMP through an amendment of the original award to meet 
the threshold of USDA's priorities. Agreement holders were notified of 
this opportunity on May 15, 2025, and were given until June 20, 2025, 
to submit amendment packages. The agency is currently reviewing the 
amendment packages and will proceed with signature and approval for 
those that meet the initiative priorities.

    Question 3. As reported, USDA canceled on June 11th some Regional 
Conservation Partnership Program (RCPP) awarded grants that were to 
receive funding through the Inflation Reduction Act (IRA). Will program 
participants that had their projects canceled be able to reapply for 
RCPP or modify their current terms or application? How is USDA working 
with entities that received or were expecting IRA funding through RCPP 
for applications and projects that have been canceled?
    Answer. On July 4, 2025, the One Big Beautiful Bill Act was signed 
into law, which rescinded all unobligated Inflation Reduction Act 
funding for RCPP. Awards with programmatic partnership agreements and 
supplemental agreements that were signed were allowed to move forward. 
It is important to note that no RCPP contracts were canceled. 
Applicants who were not awarded are encouraged to reach out to their 
state RCPP Coordinator to strengthen their proposal for consideration 
in the next funding cycle using farm bill funding.

    Question 4. USDA's Rural Development programs are crucial to the 
rural economy, the heartbeat of America. They provide the foundation 
and services needed to help rural America thrive. USDA knows rural 
America. I have concerns with the FY 2026 President's Budget Request 
that proposes to terminate the USDA Rural Business and Industry 
Guaranteed Loan Program and the Rural Business Development Grants 
Program. Will you commit to working with me and this Committee to keep 
these USDA programs available for rural America and the farmers they 
serve?
    Answer. USDA acknowledges the role that Rural Development programs 
play in supporting rural communities and farmers. The Administration's 
budget proposal reflects a commitment to fiscal responsibility and 
streamlining programs to maximize impact. We are committed to 
evaluating all avenues to support rural economic development and job 
creation, consistent with the President's vision for a strong American 
economy.

    Question 5. I am a strong supporter of the USDA Rural Development 
Innovation Center and included codifying language in the farm bill that 
passed the House Agriculture Committee last year. Has USDA considered 
collaborating with the Cooperative Extension Service to help 
disseminate information, hold joint virtual webinars or in-person 
sessions, etc., about the multitude of RD programs available?
    Answer. The Rural Development Innovation Center is dedicated to 
enhancing program delivery and empowering rural communities through 
strategic partnerships and data-driven solutions. USDA is exploring 
collaboration with the Cooperative Extension Service to disseminate 
information, host joint webinars, and conduct in-person sessions.

    Question 6. From EMS stations to childcare centers, USDA's 
Community Facilities Programs play a vital role in helping rural 
communities invest in essential infrastructure. How is USDA ensuring 
that these funds can continue to be accessible to small and under-
served communities, and will you explore new flexibilities or outreach 
efforts to improve program delivery?
    Answer. Ensuring these funds are accessible, especially for rural 
communities, is a priority. We are continuously reviewing our program 
delivery to streamline processes and reduce burdens, making it easier 
for communities with limited capacity to apply. This includes exploring 
new flexibilities in application requirements and providing targeted 
technical assistance and outreach.

    Question 7. High-speed internet remains out of reach for many rural 
communities, limiting opportunities for education, business, health 
care, and local government services. How is USDA RD adapting its 
broadband deployment strategy, particularly through ReConnect, to 
ensure these investments are timely, technologically flexible, and 
accessible to counties with limited grant-writing capacity?
    Answer. USDA Rural Development is adapting our broadband deployment 
strategy to address the unique challenges of rural communities. We aim 
to prioritize technological flexibility, allowing for various solutions 
that best suit local needs. For counties with limited grant-writing 
capacity, we are bolstering our outreach and support services, 
providing direct assistance, workshops, and clear guidance to help them 
navigate the application process and secure the funding critical for 
closing the digital divide.
Small Rural Communities
    Question 8. Small rural communities and systems face numerous 
challenges in providing clean drinking water and ensuring adequate 
waste disposal. USDA has often been the largest source of grant 
financing for rural communities and systems. The FY 2025 enacted 
funding level for USDA's Water and Wastewater grants is $380 million. 
The FY 2026 budget proposes $144 million for the same programs. How can 
rural communities secure much needed funding for their systems when the 
proposed level is well below the programs' historic funding levels?
    Answer. We recognize the challenges rural communities face in 
maintaining and upgrading their water and wastewater infrastructure, 
and Rural Development remains a steadfast partner in these efforts. The 
President's FY 2026 budget proposal reflects a broader strategy to 
prioritize fiscal discipline and target resources where they are most 
impactful. Our commitment to supporting essential water and wastewater 
systems in rural America is unwavering. We will continue to maximize 
the impact of available funds through strategic allocations, leveraging 
partnerships, and emphasizing projects that demonstrate the highest 
need and long-term sustainability.

    Question 9. Several states have pointed to staffing shortages in 
the state SNAP offices as the reason for skyrocketing error rates 
coming out of the pandemic. Enhanced IT systems, including the use of 
artificial intelligence (AI), stand out as a potential solution for 
states who are struggling with workforce challenges. What barriers 
exist at the Federal level to prevent states from using AI, and what 
steps has the Department taken to remove unnecessary barriers and 
encourage states to use AI in their administration of SNAP?
    Answer. SNAP is unique among Federal programs due to requirements 
in the Food and Nutrition Act of 2008 that State SNAP agencies certify 
SNAP households using state agency employees that were hired under a 
merit system. As I outlined in my February 13, 2025, letter to state, 
Tribal, Territory, and Local Government Partners, I am committed to 
supporting state innovation through approval of waivers and pilot 
projects. AI holds enormous potential to streamline access to nutrition 
benefits, reduce administrative burden, and improve customer 
experience.
    USDA encourages state agencies to implement system enhancements 
that can streamline the SNAP application process and prepare cases for 
final eligibility determination by merit staff.

    Question 10. The Consolidated Appropriations Act of 2023 required 
the Department to issue guidance and promulgate notice-and-comment 
rulemaking on SNAP EBT card security. What is the status of the 
rulemaking, and when can we expect a rule to be published in the 
Federal Register?
    Answer. USDA Food and Nutrition Service takes its responsibility of 
helping to prevent fraud, particularly SNAP Electronic Benefit Transfer 
(EBT) theft, seriously. USDA has made significant and sustainable 
progress, in partnership with states, third-party EBT processors, and 
authorized SNAP retailers, to modernize EBT systems and reduce fraud. 
USDA anticipates the rule, ``Enhancing Electronic Benefit Transfer 
(EBT) Card Security Measures,'' will publish in the Federal Register 
next year.

    Question 11. The most recent data from the Department estimates 
that 1.6 percent of all SNAP benefits were trafficked from 2015 to 
2017, representing about $1 billion. When will the Department publish 
an updated estimate of trafficking in SNAP?
    Answer. FNS has strengthened its focus on SNAP trafficking, 
including expanding the use of data analysis to detect fraudsters and 
taking immediate administrative action to ensure that stores that 
violate SNAP rules no longer participate in the program. Retailers who 
commit program violations may also be subject to monetary penalties, 
fines, and/or criminal prosecution.

    Question 12. SNAP state administrative expenses have increased by 
30 percent since 2019, and the Congressional Budget Office even 
estimates these costs will increase by 40 percent over the 10 year 
budget window, far outpacing inflation. Does the Department know what 
is driving the increase in the costs at the state level? What specific 
state and local government costs are increasing?
    Answer. SNAP State Administrative Expenses (SAE) are affected by 
many factors, such as participation levels, the number and salary level 
of state agency staff, inflation, the location of state agency offices, 
issuance costs, worker training costs, degree of automation, and level 
of fraud control activity. The increase in SNAP SAE is driven by 
increased spending on certification activities and automated data 
processing operations and systems development. These investments 
include developing remote systems and expanded call centers, 
streamlining eligibility determinations, implementing required program 
changes, hiring additional state staff to manage increased 
applications, and updating legacy platforms.

    Question 13. As part of their SNAP state administrative expenses, 
how much are states spending on SNAP outreach? Has spending on outreach 
increased? Please share outreach spending broken down by state going 
back to Fiscal Year 2015.
    Answer. Spending on outreach has increased but represents a small 
percentage of SNAP SAE costs. In FY 2015, the state share of outreach 
expenditures was $36,185,786 and the Federal share was $36,028,618. FY 
2015 SNAP outreach spending (Federal + state) totaled $72,214,404.
    In FY 2024, the state share of outreach expenditures was 
$76,867,615. The Federal share was $76,841,391. The total (Federal + 
state) spending for FY 2024 was $153,709,006. This represents an 
increase of $40,838,997 in state costs, and an increase of $81,494,602 
in total costs (Federal + state), between FY 2015 and FY 2024. Outreach 
represented 0.92% of SAE in FY 2015 and 1.3% of SAE in FY 2024.

   National Data Bank Version 8.2 Public Use SC4--Up To 99 Variables--
                            States Ascending
------------------------------------------------------------------------
                            SNAP Outreach State     SNAP Outreach Total
     State/Territory               Share                 Fed Share
------------------------------------------------------------------------
                                 FY 2015
------------------------------------------------------------------------
          Alabama                   127,664                 127,664
           Alaska                    14,826                  14,825
          Arizona                 3,388,798               3,388,798
         Arkansas                   190,412                  33,315
       California                 8,219,735               8,219,736
         Colorado                   156,803                 156,802
      Connecticut                   552,983                 552,982
         Delaware                   121,912                 121,911
District of Columbia                 71,286                  71,285
          Florida                   166,658                 166,657
          Georgia                 1,286,102               1,286,102
             Guam
           Hawaii                   197,843                 197,843
            Idaho                         0                       0
         Illinois                 1,082,119               1,082,118
          Indiana                   450,537                 450,537
             Iowa                    89,552                  89,551
           Kansas
         Kentucky
                 Louisiana          181,821                 181,821
            Maine
         Maryland                 1,188,989               1,188,990
    Massachusetts                   690,592                 690,592
         Michigan                   320,491                 320,491
        Minnesota                 1,651,239               1,651,238
      Mississippi                    29,215                  29,213
         Missouri                   183,856                 183,856
          Montana                         0                       0
         Nebraska                   293,851                 293,852
           Nevada                 1,362,138               1,362,138
    New Hampshire                     5,458                   5,457
       New Jersey                   197,598                 197,598
       New Mexico                         0                       0
         New York                 3,340,935               3,340,935
   North Carolina                   454,715                 454,716
     North Dakota                    50,790                  50,790
             Ohio                 1,174,552               1,174,551
         Oklahoma
           Oregon                   395,899                 395,899
     Pennsylvania                 1,198,841               1,198,842
     Rhode Island                   454,668                 454,667
   South Carolina                 1,399,438               1,399,438
     South Dakota
        Tennessee                   558,868                 556,452
            Texas                 2,372,264               2,372,264
             Utah                         0                   2,355
          Vermont                   434,075                 434,074
         Virginia                   109,473                 109,473
   Virgin Islands
       Washington                 1,409,908               1,409,909
    West Virginia                    83,714                  83,713
        Wisconsin                   525,168                 525,168
          Wyoming                         0                       0
                         -----------------------------------------------
    U.S.................         36,185,786              36,028,618
------------------------------------------------------------------------
                                 FY 2016
------------------------------------------------------------------------
          Alabama                   169,752                 169,752
           Alaska                    16,294                  16,295
          Arizona                 1,519,645               1,519,647
         Arkansas                   107,509                 107,508
       California                 8,069,173               8,069,174
         Colorado                   309,084                 309,084
      Connecticut                   564,944                 564,944
         Delaware                   109,032                 109,032
District of Columbia                 73,669                  73,669
          Florida                   184,833                 177,785
          Georgia                 1,196,147               1,196,147
             Guam
           Hawaii                   326,167                  50,000
            Idaho                         0                       0
         Illinois                   949,863                 949,863
          Indiana                   480,982                 480,983
             Iowa                   152,841                 152,841
           Kansas
         Kentucky
                 Louisiana          243,752                 243,752
            Maine
         Maryland                 1,267,285               1,267,285
    Massachusetts                   705,638                 705,637
         Michigan                   469,331                 469,331
        Minnesota                 2,100,982               2,100,980
      Mississippi                    48,778                  48,780
         Missouri                   224,363                 224,363
          Montana                     8,923                   8,923
         Nebraska                   319,074                 319,074
           Nevada                 1,570,901               1,570,900
    New Hampshire                     3,679                   3,680
       New Jersey                   182,798                 182,798
       New Mexico
         New York                 3,252,832               3,252,833
   North Carolina                   537,598                 537,599
     North Dakota                    50,339                  50,340
             Ohio                 1,604,339               1,604,339
         Oklahoma
           Oregon                   347,706                 347,707
     Pennsylvania                 1,400,472               1,400,473
     Rhode Island                   495,231                 495,231
   South Carolina                   996,703                 996,703
     South Dakota
        Tennessee                   332,158                 329,013
            Texas                 2,626,359               2,626,358
             Utah                         0                  15,997
          Vermont                   444,234                 444,235
         Virginia                    80,720                  80,720
   Virgin Islands
       Washington                 1,458,892               1,458,892
    West Virginia                   109,320                 109,320
        Wisconsin                   742,047                 742,047
          Wyoming                         0                       0
                         -----------------------------------------------
    U.S.................         35,854,389              35,584,034
------------------------------------------------------------------------
                                 FY 2017
------------------------------------------------------------------------
          Alabama                   201,852                 201,853
           Alaska                    46,386                  46,386
          Arizona                         0               2,582,935
         Arkansas                    25,912                  25,912
       California                 9,772,870               9,772,870
         Colorado                   584,689                 584,690
      Connecticut                   536,915                 536,916
         Delaware                   110,629                 110,629
District of Columbia                 65,728                  65,728
          Florida                   176,251                 176,251
          Georgia                 1,267,110               1,267,110
             Guam
           Hawaii                   194,141                 194,140
            Idaho                         0                       0
         Illinois                 1,110,225               1,110,225
          Indiana                   468,774                 468,774
             Iowa                   128,614                 128,614
           Kansas
         Kentucky
                 Louisiana          289,712                 289,712
            Maine                       512                     511
         Maryland                 1,511,679               1,511,680
    Massachusetts                   725,873                 725,872
         Michigan                   536,168                 536,168
        Minnesota                 2,163,606               2,163,608
      Mississippi                    71,500                  71,501
         Missouri                   432,293                 432,294
          Montana                    17,252                  17,252
         Nebraska                   318,247                 318,246
           Nevada                 1,634,951               1,634,950
    New Hampshire                     8,474                   8,473
       New Jersey                   220,392                 220,392
       New Mexico
         New York                 6,724,077               6,724,077
   North Carolina                   387,826                 387,825
     North Dakota                    62,497                  62,497
             Ohio                 1,822,642               1,822,641
         Oklahoma
           Oregon                   372,382                 372,380
     Pennsylvania                 1,478,280               1,478,280
     Rhode Island                   434,324                 434,323
   South Carolina                 1,280,235               1,280,234
     South Dakota
        Tennessee                   352,927                 352,927
            Texas                 2,601,381               2,601,381
             Utah                    24,539                  24,538
          Vermont                   477,538                 477,537
         Virginia                    87,691                  87,690
   Virgin Islands
       Washington                 3,067,709               3,067,710
    West Virginia                   104,456                 104,456
        Wisconsin                   698,042                 698,042
          Wyoming                         0                       0
                         -----------------------------------------------
    U.S.................         42,597,301              45,180,230
------------------------------------------------------------------------
                                 FY 2018
------------------------------------------------------------------------
          Alabama                   198,687                 198,688
           Alaska                    32,098                  32,098
          Arizona                 7,118,109               2,593,630
         Arkansas                    25,502                  25,499
       California                10,144,023              10,144,024
         Colorado                   709,687                 709,687
      Connecticut                   416,542                 416,542
         Delaware                   115,035                 115,035
District of Columbia                 83,280                  83,280
          Florida                   177,955                 177,955
          Georgia                 1,407,651               1,407,651
             Guam
           Hawaii                   131,510                 131,509
            Idaho                         0                       0
         Illinois                 1,268,334               1,268,334
          Indiana                   530,216                 530,216
             Iowa                   146,782                 146,782
           Kansas
         Kentucky                       424                     424
                 Louisiana          269,256                 269,256
            Maine
         Maryland                 1,290,151               1,290,151
    Massachusetts                   798,380                 798,380
         Michigan                 1,457,714               1,457,714
        Minnesota                 2,438,828               2,438,793
      Mississippi                    99,931                  99,932
         Missouri                   552,033                 552,033
          Montana                     9,401                   9,401
         Nebraska                   368,489                 368,488
           Nevada                 1,527,612               1,527,612
    New Hampshire                     4,266                   4,266
       New Jersey                   128,251                 128,251
       New Mexico
         New York                 6,858,325               6,858,325
   North Carolina                   842,599                 842,598
     North Dakota                    59,181                  59,181
             Ohio                 2,273,370               2,273,369
         Oklahoma                         0                       0
           Oregon                   745,475                 745,476
     Pennsylvania                 1,519,238               1,519,237
     Rhode Island                   524,189                 524,188
   South Carolina                 1,252,211               1,252,211
     South Dakota
        Tennessee                   551,479                 551,480
            Texas                 3,267,084               3,267,083
             Utah                    22,415                  22,414
          Vermont                   486,962                 486,962
         Virginia                    92,643                  92,643
   Virgin Islands
       Washington                 3,749,468               3,749,468
    West Virginia                   123,807                 123,807
        Wisconsin                   595,575                 595,576
          Wyoming                         0                       0
                         -----------------------------------------------
    U.S.................         54,414,168              49,889,649
------------------------------------------------------------------------
                                 FY 2019
------------------------------------------------------------------------
          Alabama                   239,052                 239,052
           Alaska                    66,955                  66,956
          Arizona                12,897,607               2,725,399
         Arkansas                    27,727                  27,727
       California                13,629,085              13,629,085
         Colorado                 1,227,185               1,227,185
      Connecticut                   491,326                 491,327
         Delaware                   132,712                 132,713
District of Columbia                103,075                 103,075
          Florida                   166,107                 166,108
          Georgia                 1,481,430               1,481,430
             Guam
           Hawaii                   210,882                 210,881
            Idaho
         Illinois                 1,488,865               1,488,864
          Indiana                   414,169                 414,170
             Iowa                   119,880                 119,881
           Kansas
         Kentucky
                 Louisiana          261,058                 261,058
            Maine
         Maryland                 1,760,449               1,760,447
    Massachusetts                 1,059,965               1,059,966
         Michigan                 1,495,971               1,366,774
        Minnesota                 2,518,185               2,518,185
      Mississippi                   104,845                 104,845
         Missouri                   381,944                 381,943
          Montana                    10,059                  10,060
         Nebraska                   387,383                 387,383
           Nevada                 1,288,008               1,288,007
    New Hampshire
       New Jersey                   216,621                 216,621
       New Mexico
         New York                 6,135,827               6,135,827
   North Carolina                   826,633                 826,633
     North Dakota                    53,463                  53,464
             Ohio                 1,980,111               1,980,110
         Oklahoma                         0                       0
           Oregon                   751,501                 751,500
     Pennsylvania                 1,818,039               1,818,039
     Rhode Island                   482,872                 482,873
   South Carolina                 1,515,524               1,515,524
     South Dakota
        Tennessee                   709,052                 709,052
            Texas                 3,058,103               3,058,103
             Utah                    23,250                  23,250
          Vermont                   570,962                 570,963
         Virginia                    62,143                  62,142
   Virgin Islands
       Washington                 3,719,835               3,719,836
    West Virginia                   123,093                 123,093
        Wisconsin                   878,858                 878,857
          Wyoming                         0                       0
                         -----------------------------------------------
    U.S.................         64,889,811              54,588,408
------------------------------------------------------------------------
                                 FY 2020
------------------------------------------------------------------------
          Alabama                   297,926                 297,926
           Alaska                    52,441                  52,442
          Arizona                 2,785,664               2,785,664
         Arkansas                    61,916                  61,916
       California                16,382,406              16,382,406
         Colorado                 1,660,694               1,660,695
      Connecticut                   443,481                 443,482
         Delaware                   130,164                 130,165
District of Columbia                175,507                  80,393
          Florida                   244,846                 244,847
          Georgia                 1,740,347               1,740,347
             Guam
           Hawaii                   522,131                       0
            Idaho
         Illinois                 1,727,066               1,727,065
          Indiana                   481,744                 481,745
             Iowa                   193,789                 193,790
           Kansas                    46,443                  46,443
         Kentucky
                 Louisiana          211,607                 211,607
            Maine
         Maryland                 2,393,860               2,393,861
    Massachusetts                 1,057,862               1,057,861
         Michigan                 1,505,308               1,505,308
        Minnesota                 2,607,555               2,607,555
      Mississippi                   177,973                 177,974
         Missouri                   403,084                 403,084
          Montana                    10,060                  10,060
         Nebraska                   334,448                 334,447
           Nevada                 1,185,464               1,185,464
    New Hampshire
       New Jersey                   305,850                 305,850
       New Mexico
         New York                 5,640,744               5,640,744
   North Carolina                   394,036                 394,037
     North Dakota                    59,762                  59,763
             Ohio                 1,846,295               1,846,295
         Oklahoma                         0                       0
           Oregon                   736,148                 736,148
     Pennsylvania                 1,900,575               1,900,575
     Rhode Island                   305,301                 305,301
   South Carolina                 1,319,824               1,319,824
     South Dakota
        Tennessee                   686,896                 686,896
            Texas                 1,426,644               1,426,644
             Utah                    12,468                  12,468
          Vermont                   707,977                 707,978
         Virginia                    36,178                  36,178
   Virgin Islands
       Washington                 4,097,331               4,097,331
    West Virginia                   125,538                 125,539
        Wisconsin                   700,504                 700,504
          Wyoming
                         -----------------------------------------------
    U.S.................         57,135,857              56,518,622
------------------------------------------------------------------------
                                 FY 2021
------------------------------------------------------------------------
          Alabama                   286,127                 286,128
           Alaska                   101,498                 101,499
          Arizona                 2,881,047               2,881,047
         Arkansas                    76,344                  76,345
       California                15,079,814              15,079,814
         Colorado                 2,156,083               2,156,083
      Connecticut                   234,084                 234,084
         Delaware                   135,873                 135,872
District of Columbia                103,940                 103,940
          Florida                   222,545                 222,545
          Georgia                 1,976,679               1,976,680
             Guam
           Hawaii                   392,483                 392,483
            Idaho
         Illinois                 1,986,888               1,986,887
          Indiana                   244,901                 244,901
             Iowa                   219,063                 219,064
           Kansas                    60,451                  60,451
         Kentucky
                 Louisiana          238,793                 238,793
            Maine                       399                     397
         Maryland                 2,551,627               2,551,627
    Massachusetts                 1,329,963               1,329,964
         Michigan                 1,435,475               1,435,475
        Minnesota                 2,833,324               2,833,324
      Mississippi                   194,661                 194,661
         Missouri                   434,527                 434,527
          Montana                    20,120                  20,120
         Nebraska                   386,826                 386,826
           Nevada                 1,188,356               1,188,357
    New Hampshire
       New Jersey                   253,876                 253,876
       New Mexico
         New York                 7,094,242               7,094,242
   North Carolina                 1,516,424               1,516,424
     North Dakota                    49,260                  49,261
             Ohio                 2,354,293               1,849,878
         Oklahoma                   408,776                 408,775
           Oregon                18,688,155                 688,155
     Pennsylvania                 2,769,332               2,769,331
     Rhode Island                   119,909                 119,910
   South Carolina                 1,432,153               1,432,152
     South Dakota
        Tennessee                   766,005                 766,005
            Texas                 2,009,354               2,009,353
             Utah                    42,367                  42,367
          Vermont                   557,294                 557,294
         Virginia                    39,868                  39,868
   Virgin Islands
       Washington                 4,122,616               4,122,616
    West Virginia                   125,845                 125,232
        Wisconsin                   764,123                 764,124
          Wyoming
                         -----------------------------------------------
    U.S.................         79,885,783              61,380,757
------------------------------------------------------------------------
                                 FY 2022
------------------------------------------------------------------------
          Alabama                   140,555                 140,556
           Alaska                    75,554                  75,554
          Arizona                 2,785,719               2,785,719
         Arkansas                    72,401                  72,401
       California                17,501,604              17,501,603
         Colorado                 2,701,157               2,701,157
      Connecticut                   465,578                 465,578
         Delaware                   186,149                 186,149
District of Columbia                177,405                 177,405
          Florida                   181,706                 181,706
          Georgia                 2,257,675               2,257,674
             Guam
           Hawaii                   396,894                 396,893
            Idaho
         Illinois                 2,203,305               2,203,304
          Indiana                   342,640                 342,640
             Iowa                   246,693                 246,693
           Kansas                    54,585                  54,584
         Kentucky                    76,276                  76,276
                 Louisiana          573,548                 573,548
            Maine                     4,462                   4,457
         Maryland                 3,229,171               3,229,171
    Massachusetts                 1,413,670               1,413,670
         Michigan                 2,070,360               2,070,360
        Minnesota                 2,963,475               2,963,474
      Mississippi                   190,767                 190,767
         Missouri                   564,448                 564,448
          Montana                    23,972                  23,973
         Nebraska                   325,577                 325,577
           Nevada                 1,277,764               1,277,764
    New Hampshire                         0
       New Jersey                   885,609                 885,609
       New Mexico
         New York                 5,242,227               5,242,229
   North Carolina                 1,946,629               1,946,629
     North Dakota                    60,593                  60,594
             Ohio                 2,240,929               1,980,293
         Oklahoma                   611,474                 611,475
           Oregon                   679,930                 679,929
     Pennsylvania                 2,836,921               2,836,920
     Rhode Island                   352,572                 352,571
   South Carolina                 1,400,876               1,400,876
     South Dakota
        Tennessee                   618,872                 618,872
            Texas                 5,530,134               5,530,133
             Utah                    36,157                  36,157
          Vermont                   548,090                 548,092
         Virginia                    67,681                  67,680
   Virgin Islands
       Washington                 4,180,904               4,180,904
    West Virginia                   125,539                 125,539
        Wisconsin                 1,131,101               1,131,101
          Wyoming
                         -----------------------------------------------
    U.S.................         70,999,348              70,738,704
------------------------------------------------------------------------
                                 FY 2023
------------------------------------------------------------------------
          Alabama                   246,668                 246,669
           Alaska                         0                 109,168
          Arizona                 4,188,514               4,188,514
         Arkansas                    89,460                  89,460
       California                15,916,817              15,916,818
         Colorado                 3,087,364               3,087,364
      Connecticut                   143,870                 143,870
         Delaware                   184,067                 184,066
District of Columbia                246,658                 246,658
          Florida                   254,076                 254,076
          Georgia                 2,347,651               2,347,651
             Guam
           Hawaii                   407,647                 407,647
            Idaho
         Illinois                 2,382,014               2,382,014
          Indiana                   561,002                 561,003
             Iowa                   247,053                 247,053
           Kansas                    66,978                  66,977
         Kentucky                   106,995                 106,995
                 Louisiana          477,265                 477,265
            Maine                       181                     178
         Maryland                 2,484,209               2,484,210
    Massachusetts                 1,813,333               1,813,334
         Michigan                 2,007,185               2,007,184
        Minnesota                 3,135,571               3,135,571
      Mississippi                   204,352                 204,352
         Missouri                   660,105                 660,105
          Montana                    22,998                  22,999
         Nebraska                   325,454                 325,453
           Nevada                 1,300,490               1,300,472
    New Hampshire                    13,112                  13,113
       New Jersey                   798,553                 798,553
       New Mexico
         New York                 4,128,987               4,128,987
   North Carolina                 1,037,935               1,037,936
     North Dakota                    67,952                  67,953
             Ohio                 2,094,574               2,094,573
         Oklahoma                   914,234                 914,234
           Oregon                   874,135                 874,134
     Pennsylvania                 2,986,605               2,986,606
     Rhode Island                   608,482                 608,481
   South Carolina                 1,778,148               1,778,148
     South Dakota
        Tennessee                   865,007                 865,007
            Texas                 5,103,289               5,103,288
             Utah                    44,345                  44,344
          Vermont                   688,007                 688,008
         Virginia                   260,851                 260,850
   Virgin Islands
       Washington                 4,831,113               4,831,113
    West Virginia                   114,345                 114,345
        Wisconsin                 1,484,455               1,484,455
          Wyoming
                         -----------------------------------------------
    U.S.................         71,602,106              71,711,254
------------------------------------------------------------------------
                                 FY 2024
------------------------------------------------------------------------
          Alabama                   173,588                 173,587
           Alaska                   184,536                 184,537
          Arizona                 3,562,676               3,562,677
         Arkansas                   102,705                 102,705
       California                15,966,394              15,966,394
         Colorado                 2,709,382               2,709,382
      Connecticut                   174,184                 174,184
         Delaware                   162,333                 162,333
District of Columbia                258,425                 258,425
          Florida                   210,504                 210,504
          Georgia                 2,320,659               2,320,660
             Guam
           Hawaii                   522,276                 522,275
            Idaho
         Illinois                 2,214,420               2,214,421
          Indiana                   569,008                 569,008
             Iowa                   272,259                 272,258
           Kansas                   125,578                 125,578
         Kentucky                   157,058                 157,059
                 Louisiana          440,602                 440,603
            Maine                         0                       0
         Maryland                 1,755,901               1,755,901
    Massachusetts                 2,282,348               2,282,348
         Michigan                 2,086,267               2,086,267
        Minnesota                 4,223,385               4,223,384
      Mississippi                   203,414                 203,414
         Missouri                   731,977                 731,977
          Montana                    29,631                  29,630
         Nebraska                   337,976                 337,977
           Nevada                 1,626,237               1,626,237
    New Hampshire                    56,266                  30,040
       New Jersey                 1,919,238               1,919,238
       New Mexico                    29,939                  29,940
         New York                 5,324,729               5,324,730
   North Carolina                 1,764,683               1,764,683
     North Dakota                   116,597                 116,596
             Ohio                 2,429,718               2,429,717
         Oklahoma                 1,188,153               1,188,153
           Oregon                 1,017,824               1,017,825
     Pennsylvania                 1,818,108               1,818,108
     Rhode Island                   475,248                 475,249
   South Carolina                 1,849,483               1,849,483
     South Dakota
        Tennessee                   920,343                 920,343
            Texas                 6,760,558               6,760,558
             Utah                    21,931                  21,931
          Vermont                   766,062                 766,061
         Virginia                   313,152                 313,152
   Virgin Islands
       Washington                 5,089,296               5,089,296
    West Virginia                   121,481                 121,481
        Wisconsin                 1,481,083               1,481,082
          Wyoming
                         -----------------------------------------------
    U.S.................         76,867,615              76,841,391
------------------------------------------------------------------------
07/09/2025, 12:29 p.m.

    Question 14. The most recent study published by the Department on 
foods typically purchased by SNAP households contains purchasing data 
from 2011. Does the Department plan to initiate a new study on the food 
choices of SNAP and non-SNAP households as part of the Food and 
Nutrition Service's next Research and Evaluation plan?
    Answer. FNS initiated a study on the food purchases of SNAP 
households in late Fiscal Year 2023 and expects its completion in 
Fiscal Year 2026.
Questions Submitted by Hon. Angie Craig, a Representative in Congress 
        from Minnesota
USDA Workforce/Staffing
    Question 1. In your Senate confirmation hearing testimony, you said 
``we must work with the great men and women of USDA and the stakeholder 
community to immediately and comprehensively get a handle on the state 
of animal-disease outbreaks, including H5N1 and New World Screwworm, 
and do everything possible to eradicate them.'' Yet on your first day 
in the office, you fired \1/4\ of the great men and women who worked at 
USDA's National Animal Health Laboratory Network, which plays a major 
role in responding to animal-disease outbreaks.
    How does cutting a 14 person staff by 25 percent further our 
efforts to test for and track diseases like H5N1, which is impacting on 
the price of eggs people have to pay at the store each day?
    Answer. USDA worked swiftly to rescind the termination notices 
those employees received.
    Question 1a. Given that the United States reviews and judges 
foreign countries own animal-disease control programs and have cited 
weaknesses in those programs as an excuse to keep foreign animal 
product imports out, isn't there a danger that your actions could lead 
to similar reviews and decisions by other nations and hurt our farmers 
ability to export U.S. animal products?
    Answer. There have not been any barriers to trade imposed by other 
countries as a result of the subsequently rescinded terminations you 
mentioned above. I will continue to work to ensure that APHIS has the 
resources needed to maintain mission critical activities, including 
providing technical expertise in discussions regarding sanitary and 
phytosanitary export issues.

    Question 2. In a press release on your first full day on the job, 
you said you ``welcome DOGE's efforts at USDA because we know that its 
work makes us better, stronger, faster, and more efficient.'' So are 
you promising farmers, ranchers, loggers and the other stakeholders who 
depend on USDA and the services it provides that the DOGE recommended 
personnel reductions you have adopted will not result in any slowdown 
or delay in services to these constituencies by the Department and its 
agencies nor any degradation in the quality of work these 
constituencies enjoyed prior to these personnel reductions?
    Answer. I fully support President Trump's directive to eliminate 
wasteful spending and ensure taxpayer dollars are used effectively. 
USDA is optimizing building capacity and consolidating underutilized 
offices to reduce inefficiencies while continuing to prioritize 
frontline services for farmers, ranchers, and rural communities. I 
understand the array of mission critical positions and programs at the 
Department and will ensure that those areas have the resources and 
personnel they need to continue serving the American people.

    Question 2a. Does DOGE have to review farm loans or guarantees over 
$500,000? Who else has to review these loans?
    Answer. I have hired people at the Department who are dedicated to 
finding and resolving inefficiencies. Their charge is simple, to help 
me refocus USDA on its core mission of serving the American people 
rather than the bureaucracy of Washington D.C. These efficiency 
personnel perform a concurrent review of Farm Loan Programs 
applications. This process began on April 30 and there has not been a 
delay in the processing of applications for direct loan or loan 
guarantee assistance. Notably, FSA underwriting policies and procedures 
have not been altered by this new review process. FSA submits a request 
for review upon receipt of an application, allowing the review to occur 
concurrently with FSA's own application analysis. All reviews to date 
have been cleared and completed within 1 business day of submission, 
thus avoiding delays.

    Question 3. It is my understanding that the Department fired 28 
people with the National Bio and Agro-Defense Facility (NBAF) in 
Manhattan, Kansas one day, only to rescind some of the firings the next 
day. The NBAF is the forefront of our nation's efforts to protect 
against transboundary, emerging, and zoonotic animal diseases that 
threaten our nation's food supply, agricultural economy, and public 
health. Additionally, several positions in the Food Safety & Inspection 
Service (FSIS) were likewise fired only to have the Department attempt 
to correct the error.
    Were these firings a clerical mistake or did someone have second 
thoughts about the initial decision to fire these people after the 
fact?

    Question 3a. Didn't you or someone at the Department review the 
list of terminated positions before they went out in order to catch 
obviously careless mistakes like this?

    Question 3b. With the threat of bird-flu further spreading 
throughout the country, plus other potential animal diseases, how could 
the NBAF or FSIS be on the chopping block in the first place; wasn't 
there any discussion before these decisions were made?
    Answer 3-3b. There have not been any reductions in force at USDA. 
The standup of NBAF continues to be a priority, and voluntary 
resignations will not negatively impact the mission transfer timeline.

    Question 4. We know that many of the jobs at USDA require specific 
education and training, if not years of experience, in order to address 
the specific challenges USDA is faced with resolving every day. Do you 
agree with that statement?

    Question 4a. Do you have the ability to replace these experienced 
folks who have left the agency? Do you have permission to hire given 
the hiring freeze this Administration had required?

    Question 4b. How many people can you hire? How many have been 
hired? What roles are they filling? What about roles in agricultural 
research or in cybersecurity? What about those with knowledge about 
loans and loan processing? Are you able to job-share so that as people 
with years of experience leave, they can co-work with new staff who 
need to get up to speed quickly?
    Answer 4-4b. USDA is committed to providing the most efficient and 
effective service possible to meet and exceed the needs of the people 
we serve. We will continue to review, assess, and solve for the best 
ways to ensure that service.

    Question 4c. Does USDA have enough trained epidemiologist to battle 
H5N1 or to prevent the spread of New World Screwworm? Does USDA have 
enough experienced staff to negotiate with foreign countries about 
opening new markets?
    Answer. I will continue working to ensure USDA has the resources 
needed to maintain mission critical activities, including preventing 
the spread of the New World Screwworm and expanding market access.

    Question 5. We have been informed that 17 USDA employees were fired 
from the Agricultural Research Service's U.S. Meat Animal Research 
Center (USMARC) in Nebraska. This action led Laura Field, Executive 
Director of the Nebraska Cattlemen to express \1\ her organization's 
concern given the importance of the Center to the beef industry and 
potential for losing the Center's ability continue to do ground-
breaking research. In her view, USMARC isn't a place with wasteful 
spending and inefficiencies.
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    Is she wrong? Were the 17 employees who were let go an unnecessary 
wasteful expense? Can you guarantee to Ms. Field and us that USMARC 
will not see any slowdown or loss of productivity or innovation due to 
these cuts?
    Answer. Eleven probationary employees at USMARC were released and 
all were subsequently offered reinstatement. Any employees that have 
left their position at USMARC did so voluntarily. Critical research at 
USMARC continues without any slowdown or loss of productivity or 
innovation.
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Array of Jobs, Grants Lost Across Ag
USDA Cuts Stretch Across Nation's Top Research Labs to Small, Urban 
        Farmers Markets
2/19/2025 D 2:33 PM CST

By Chris Clayton,\1\ DTN Ag Policy Editor
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author?authorFullName=Chris%20
Clayton.

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          Opened in May 2023, the National Bio and Agro Defense 
        Facility (NBAF) in Manhattan, Kansas, was called the crown 
        jewel in foreign animal disease research to defend agriculture 
        from such outbreaks. The local newspaper reported 28 scientists 
        and staff were terminated as part of the USDA job cuts. (DTN 
---------------------------------------------------------------------------
        file photo by Chris Clayton)

          Editor's Note: This story is updated from the Tuesday, Feb. 
        18, version.
          * * * * *
    Omaha (DTN)--There are still no concrete details about the number 
of job cuts at the U.S. Department of Agriculture or which grant 
contracts have been canceled, but ground-breaking meat labs and the 
country's new crown jewel facility for combating foreign animal 
diseases were not spared from cuts.
    President Donald Trump on Tuesday called for ``radical 
transparency'' to shed light on what he views as wasteful spending 
across Federal agencies.
    For people and groups impacted, they see the cuts in a different 
light.
    At least 17 employees were laid off at the USDA Agricultural 
Research Service's U.S. Meat Animal Research Center in Nebraska, the 
Lincoln Journal-Star first reported. Known as USMARC, the science lab 
has 35,000 acres and more than 25,000 livestock, including cattle, 
sheep and hogs. The facility conducts research on meat quality and 
safety, animal breeding and genetics, feed quality and efficiency, and 
overall livestock production.
    Laura Field, executive director of Nebraska Cattlemen, said her 
members started hearing about the layoffs at USMARC last week. ``We 
know there have been categories of folks that have been lost, and it's 
a real concern for us because the U.S. Meat Animal Research Center is 
such an important part of the beef industry from a production 
perspective,'' Field said. ``The research they have done there is so 
ground-breaking, and if they have losses that impact their ability to 
function, what that could mean for the cattle industry.''
    Beyond the research, Field noted the facility has 25,000 head of 
livestock that need to be taken care of as well.
    Field added, ``I think we all believe firmly that there is probably 
some need for the government to take a look at positions and have 
conversations about wasteful spending and efficiencies, but USMARC is 
certainly not a place where that is the case. We think they are already 
operating on a pretty thin budget, and they're doing a really good job 
given all of the work they are doing.''
    Along with cuts at USMARC, the local newspaper in Manhattan, 
Kansas, the Mercury, reported at least 28 people had been fired at the 
National Bio and Agro-Defense Facility (NBAF), a $1.25 billion, state-
of-the-art USDA/Department of Homeland Security research facility that 
just opened within the past 2 years. NBAF is the country's only level 4 
biosecurity lab for animals and the first lab capable of diagnostics 
and vaccines for zoonotic diseases. Among those fired was a high-level 
researcher working on avian influenza, the Mercury reported.
    NBC News then reported USDA had ``accidentally'' fired researchers 
working on avian influenza.
    In a statement late Tuesday to DTN, USDA confirmed the department 
was seeking to rehire employees working on avian influenza.
    ``USDA continues to prioritize the response to highly pathogenic 
avian influenza (HPAI). Several job categories, including 
veterinarians, animal health technicians, and other emergency response 
personnel have been exempted from the recent personnel actions to 
continue to support the HPAI response and other animal health 
priorities. Although several positions supporting HPAI were notified of 
their terminations over the weekend, we are working to swiftly rectify 
the situation and rescind those letters--USDA's Food Safety and 
Inspection Service frontline positions are considered public safety 
positions, and we are continuing to hire the workforce necessary to 
ensure the safety and adequate supply of food to fulfill our statutory 
mission.''
Individual Stories
    At the USDA National Laboratory for Agriculture and the Environment 
in Ames, Iowa, the Iowa State Daily reported the lab's 2022 student 
employee of the year was fired. Logan Conner had worked at the lab for 
more than 2\1/2\ years and was a research technician at the facility 
before being released on Friday.
    ``It was completely out of the blue,'' Conner told the school 
newspaper. ``No one at the building had any say or jurisdiction over 
who got fired (or) when--it was all just probationary employees.''
    In Illinois, A.J. Ruggieri, an Army veteran who served 2\1/2\ years 
in Africa, described himself as a Republican who voted for Trump, but 
also someone who started a new job in early December doing 
communications for the Natural Resources Conservation Service (NRCS). 
He noted he got the job partially because of his veteran status. He had 
thought he accepted an offer for a deferred resignation but was instead 
told on Friday he was being terminated under the probationary period 
status instead. He noted his wife is also ill with influenza.
    ``The first thing I did was call my wife. How were we going to pay 
for the prescriptions she needed? How were we going to pay for the 
emergency-room visit we had planned because her condition had worsened 
overnight?'' Ruggieri wrote in the Champaign News-Gazette. ``As I stood 
there, I was no longer a Federal employee. Was my Federal health 
insurance gone? What about dental insurance? We still have one child 
with braces. No clarification was given. There was no indication that 
the premiums were being paid from my paycheck, no severance discussed, 
nothing.''
    Ruggieri added, ``Everything comes at a cost. The only thing 
constant is change, but my question is not whether we can make America 
great again, but how do we do so? There is no civility in this, no 
courage, no honor, no consideration for the citizen employee. Just the 
bottom line cloaked in a technicality of a Federal regulation.''
    In Kansas City, Missouri, Alana Henry found out Friday night her 
group's 3 year, $165,000 farmers['] market grant had been taken away 
from USDA because it falls under the category of diversity, equity and 
inclusion (DEI). Henry's organization, the Ivanhoe Neighborhood 
Council, had a signed contract with USDA last fall. It was among $33.5 
million in grants to 113 groups across 43 states expand local and 
regional food systems, especially in under-served urban and rural 
communities.
    ``We had already started working on it and had received our first 
disbursement,'' Henry told DTN. ``You know, I had kind of been on pins 
and needles, so I'm not entirely surprised, but of course there is a 
level of shock and anger.''
    Henry, who also operates an urban farm, said the grant was meant to 
help expand a neighborhood farmers' market and also further help 
provide fruits and vegetables to young mothers on the Women, Infants 
and Children (WIC) program, as well as seniors in the area who buy food 
at the farmers market.
    ``We were very excited about creating a space for them to purchase 
from vendors who were authorized to accept those benefit programs and 
do it in a way that preserves their dignity,'' Henry said.
    Henry is unsure how to proceed after being told the grant ``no 
longer effectuates agency priorities regarding diversity, equity and 
inclusion programs and activities,'' based on the letter she received.
    ``Not only is it unfair, but clearly they didn't understand the 
sort of impact of the work we are doing and have been doing, but it's 
also potentially illegal,'' Henry said, noting USDA's breach of 
contract.
    Henry was not aware Agriculture Secretary Brooke Rollins spent 
Tuesday just a few miles away speaking to a conference of farmers in 
downtown Kansas City.
    ``I wish I had known that because I would have shown up,'' Henry 
said.
USDA, White House on Cuts
    In response to questions from DTN, a spokesperson responded Tuesday 
afternoon, ``Secretary Rollins fully supports President Trump's 
directive to optimize government operations, eliminate inefficiencies, 
and strengthen USDA's ability to better serve American farmers, 
ranchers, and the agriculture community. We have a solemn 
responsibility to be good stewards of Americans' hard-earned taxpayer 
dollars and to ensure that every dollar is being spent as effectively 
as possible to serve the people, not the bureaucracy.''
    The spokesperson added, ``As part of this effort, USDA has released 
individuals in their probationary period of employment. Secretary 
Rollins understands the array of mission-critical positions and 
programs at the Department, and she will ensure that those areas have 
the resources and personnel they need to continue serving the American 
people.''
    USDA has not released details about the full number of people 
terminated across the department or the grants that have been 
rescinded.
    Speaking Tuesday on RFD-TV, Agriculture Secretary Brooke Rollins 
said, ``The United States Department of Agriculture is filled with 
incredible, hard-working people. But there's also some realignment that 
needs to happen. Only 6% of our workforce actually goes into the 
office. There's 106,000 employees and 29 different departments. Are we 
doing everything to the best of our ability with the best people to 
serve our farmers and our ranchers?''
    An anonymous USDA employee on Wednesday called out DTN for quoting 
Rollins above and not fact-checking that statement. A report by the 
White House Office of Personnel Management in 2024 showed USDA had 
112,659 employees in Fiscal Year 2023 with 26,449 eligible for 
``telework'' that year. The percentage of employees who worked remotely 
and did not work in the office was 23% of the workforce, meaning 77% of 
USDA employees actually worked in their offices nationwide that year. A 
link to the report is below.
    See, OPM telework report, 2024 https://www.opm.gov/telework/
history-legislation-reports/status-of-telework-in-the-federal-
government-2024.pdf.
    The White House Office of Communications also on Tuesday issued a 
statement from the President calling for ``Radical Transparency About 
Wasteful Spending.'' The statement said the government spends too much 
on programs, contracts and grants that do not promote the interests of 
the American people.
    ``For too long, taxpayers have subsidized ideological projects 
overseas and domestic organizations engaged in actions that undermine 
the national interest,'' according to the President's statement. ``The 
American people have seen their tax dollars used to fund the passion 
projects of unelected bureaucrats rather than to advance the national 
interest. The American people have a right to see how the Federal 
Government has wasted their hard-earned wages.''
    The President called for department agencies ``to take all 
appropriate actions to make public, to the maximum extent permitted by 
law and as the heads of agencies deem appropriate to promote the 
policies of my Administration, the complete details of every terminated 
program, canceled contract, terminated grant, or any other discontinued 
obligation of Federal funds. Agencies shall ensure that such 
publication occurs in accordance with all applicable laws, regulations, 
and the terms and conditions of the underlying contract, grant, or 
other award.''
    For more, see ``Forest Service, NRCS Among Agencies Hit by Mass 
Firings as USDA Cuts Jobs'' here: https://www.dtnpf.com/agriculture/
web/ag/news/article/2025/02/14/forest-service-nrcs-among-
agencies?itm_source=parsely-api

    Question 6. We have lost countless dedicated public servants at the 
Forest Service, many of whom held wildfire certifications and served on 
the line during fire season, and nearly all of whom played essential 
support roles for the Agency's core functions. How can you guarantee us 
that these cuts and hiring freezes will not result in any deterioration 
of the Forest Services' ability to provide for public safety when 
wildfires strike?
    Answer. In support of the President's vision and the Secretary's 
direction, the Forest Service worked with OPM to exempt wildland fire 
hiring from the national hiring pause. The agency has nearly met our 
target of having 11,300 firefighters on board for the summer peak. 
Additionally, we have invited staff who had voluntarily separated from 
the Forest Service through the deferred resignation program and who 
hold current red cards, to come back and support fire assignments this 
season. We have already had these staff members taking assignments into 
support roles. We will do everything we can to reduce the

    Question 7. We are already hearing \2\ concerns about the Elon Musk 
universal Federal employee buyout. Specifically, meatpackers worry that 
if many food safety inspectors take the buyout, it could lead to plant 
shutdowns for lack of inspectors. Plus, with the hiring freeze in 
place, questions remain on whether we are bringing on replacement meat 
inspectors.
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freeze-hurts-american-farmers-and-consumers-rcna192333.
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    Can you tell us how many food inspectors are taking advantage of 
deferred resignation programs, and whether you foresee any potential 
shutdown of meat-packing facilities due to insufficient number of 
inspectors?
    Answer. As part of this reorientation, the Deferred Resignation 
Program (DRP), a completely voluntary tool, was used to empower 
employees to decide what is best for them. As of May 1, 2025, 555 
employees from FSIS voluntarily elected deferred resignation. These 
departures had no impact on the agency's ability to provide inspection 
coverage at establishments. Because of the essential nature of their 
work, FSIS frontline inspectors and veterinarians were not offered the 
opportunity to participate in the second round of DRP. FSIS frontline 
positions are considered public safety positions pursuant to 
Secretarial Memorandum 1078-008 issued on April 22, and USDA is 
continuing to hire the workforce necessary to ensure the safety of food 
to fulfill our statutory mission.
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hurts-american-farmers-and-consumers-rcna192333]
Trump's funding freeze leaves American farmers like me out in the cold
    How the Administration's funding freeze threatens the 
infrastructure that keeps rural communities--and everyday America--
running.

Feb. 16, 2025, 10:52 AM EST

By Rob Larew, President, National Farmers Union

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]

          Editor's note: the video is retained in Committee file.

    The Trump Administration's decision to pause and review Federal 
funding has sparked uncertainty for many Americans. Even if you have 
not personally felt the effects yet, you soon might, because these 
abrupt freezes are hitting family farmers and ranchers hard. And when 
farmers struggle, every consumer feels it at the grocery store.
    Agriculture is a complex industry, often overlooked in national 
policy discussions. Farmers take on an immense amount of financial risk 
to put a crop into the ground or raise a herd of livestock, only to be 
wiped out by a natural disaster, rising costs or collapsing markets. 
The programs under review--or those completely frozen--help family 
farmers manage risk, access credit and stay afloat when times get 
tough.

    Without intervention, these cuts will ripple through rural 
economies.

    Like all businesses, farmers need some stability to succeed. As a 
sixth-generation farmer from West Virginia, I understand the 
Administration's desire to root out waste, fraud and abuse in Federal 
programs. But the current freeze is creating chaos instead of reform. 
No one knows what funding will be available, or if key programs will 
have the staff needed to operate. Here are a few examples of the 
funding freeze's real-world impacts on America's farmers.
    The freeze has most immediately impacted Federal conservation and 
voluntary climate-smart agriculture projects. Across the country, 
farmers have been left in limbo after making sustainability 
investments, trusting that the government would uphold its commitments.
    For example, some farmers who purchased cover crop seed to improve 
soil health or installed solar panels to reduce energy costs are now 
learning that Federal reimbursements have been cut off. These are not 
theoretical losses. These are real financial burdens that could push 
family farms into bankruptcy. Without intervention, these cuts will 
ripple through rural economies. Every farm that goes out of business 
means fewer families in rural communities, less money spent at the 
local businesses, fewer kids in the local schools, and fewer tax 
dollars for roads, hospitals and emergency services.
    Farmers and policymakers in both parties have broadly supported 
international food aid for decades. American farmers produce more food 
than we can consume, and food aid donations serve the dual purpose of 
providing a new market opportunity for farmers and feeding people in 
need around the world. The U.S. purchased roughly $2 billion in food 
aid last year from American farmers; dismantling our food aid program 
is certain to disrupt market prices and create additional stress for 
U.S. food producers.

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          Editor's note: the video is retained in Committee file.

    Beyond agriculture, the funding freeze threatens the infrastructure 
that keeps rural communities running. Federal grants and loans help 
small towns replace aging and costly infrastructure, such as broadband 
and water systems, and invest in local meat and food processing. Local 
entities have relied on Federal loans and loan guarantees--existing 
commitments that the government is now freezing, leaving farmers, 
investors, lenders and rural communities on the hook for funds already 
spent.
    Shrinking the size of the Federal workforce might seem like a 
reasonable way to cut costs, but in agriculture it could have 
disastrous consequences. Farmers rely on Federal employees to 
administer disaster relief, risk management programs and conservation 
initiatives, and rural areas already struggle to recruit and retain 
qualified staff.
    One of the more alarming impacts could be on U.S. Department of 
Agriculture food safety inspectors. Meatpacking plants cannot operate 
without them, meaning staffing shortages could slow or shut down 
processing facilities. This would hurt livestock growers, who already 
face limited options due to industry consolidation. It would also 
reduce meat supply, driving up prices for consumers. These funding 
freezes do not just hurt individual farmers. They reinforce a food 
system already dominated by a handful of powerful corporations. Over 
the past several decades, agriculture has become more concentrated, 
with a few companies controlling everything from seeds and fertilizers 
to meatpacking and grain trading. Farmers have few choices on where to 
sell their products, leaving them at the mercy of companies that keep 
farm prices low while raising costs for consumers.

    Every farm that goes out of business means fewer families in rural 
communities, less money spent at the local businesses, fewer kids in 
the local schools, and fewer tax dollars for roads, hospitals, and 
emergency services.

    Further instability in Federal programs only strengthens these 
monopolies. When family farmers lose access to credit, conservation 
programs or technical assistance, they are more likely to be forced out 
of business or absorbed by corporate interests. That means less 
competition, fewer independent farmers and higher grocery prices for 
American families.
    Finally, Federal research funding drives breakthroughs in crop and 
animal science, safeguarding our food supply from emerging diseases and 
advancing technologies that help farmers produce more with fewer 
resources. However, the current funding freeze has stalled agricultural 
research, leaving farmers without the tools they need to adapt to a 
changing climate and evolving threats. Investing in agriculture is 
investing in the future--ensuring farmers can keep farming, rural 
communities can stay vibrant, and every American can have access to 
safe, affordable food.
    Supporting family farmers and ranchers means supporting the 
backbone of our nation. These funding cuts are not just numbers on a 
budget spreadsheet; they represent real dollars that sustain families 
and power rural economies. Freezing spending and making sweeping 
decisions without Congressional oversight just adds more uncertainty to 
a stressed farm economy. The right way to evaluate government programs 
is through thoughtful, measured approaches that protect taxpayer 
dollars without causing harm to family farmers, ranchers and rural 
communities.
    Policymakers must listen to the voices of those most impacted and 
recognize the real-world consequences of any cuts. Our rural economy 
and food system--and therefore all of America--depends on it. 

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]

Rob Larew
          Rob Larew is a leader in agriculture, public policy and rural 
        advocacy. Larew leads the second-largest general farm 
        organization as the 15th President of National Farmers Union, 
        representing more than 230,000 family farmers and ranchers 
        across the country. A sixth-generation farmer from West 
        Virginia, Larew has dedicated his career to advancing the 
        interests of family farmers and rural communities across the 
        United States.

    Question 7a. How long it takes to train a new meat inspector, 
assuming USDA might have to try to staff up?
    Answer. Formal and on-the-job-training of new inspectors depends on 
the position they are hired in. It ranges from 2 weeks (for food 
inspectors, GS 5-7) to around 6 weeks (for Consumer Safety Inspectors, 
GS 5-9).

    Question 8. According to the President's Executive Order, once the 
hiring freeze is lifted, you will only be able to hire one employee for 
every four that have left, presumably whether through buyout, firing, 
or reduction in force. Given the competing needs for USDA researchers, 
loan officers, food inspectors, firefighters, and other positions that 
deal directly with America's farmers, ranchers, and loggers, how will 
you prioritize which functions gets these precious staff resources and 
which functions do without?
    Answer. USDA will continue to assess staffing needs to ensure 
mission critical activities are carried out and will use the funding 
provided by Congress to implement programs across the Department. I 
will also continue to work with agencies to understand where 
opportunities and challenges are.

    Question 9. President Trump has proposed slashing USDA funding for 
the very technical assistance that farmers around the country rely on 
for valuable farm income and which allow them be better stewards of 
their land. We hear daily how vital this support is to America's 
farmers, ranchers, and forest landowners. Do you support the 
President's cuts to programs that directly support our hard-working 
farmers and ranchers?
    Answer. USDA fully supports President Trump's directive to ensure 
taxpayer dollars are used effectively. USDA will continue to prioritize 
frontline services for farmers, ranchers, and rural communities. I 
understand the array of mission critical positions and programs at the 
Department and will ensure that those areas have the resources and 
personnel they need to continue serving the American people.

    Question 9a. NRCS staff are the boots on the ground that are there 
to help America's farmers and ranchers. How many NRCS staff have left, 
been fired, or been bought up this year? How can you say that you are 
putting farmers first, when the very people that who's job is to help 
farmers are being terminated or bought out?
    Answer. Approximately 2,455 NRCS staff voluntarily took the 
Deferred Resignation Program. I will ensure the Natural Resources 
Conservation Service has the resources necessary to perform mission 
critical work.

    Question 10. We understand the Department's earlier efforts to fire 
its probationary employees and conduct additional mass layoffs is 
currently being stayed by court order as the ongoing litigations 
continues. During that initial round of firings of probationary 
employees, we heard countless stories of veterans losing their jobs 
under this Administration. While the firing of probationary employees 
at USDA did not qualify as a reduction-in-force (RIF), if you wanted to 
honor the service of these veterans performed for their country, you 
could have applied in this instance the same protections and 
preferences veterans would enjoy under a formal RIF. Instead, you chose 
to fire those probationary employees who also served their nation in 
the military along with everyone else.
    Don't you believe the men and women who wore the uniform and wanted 
to continue to serve in a different capacity deserve just a little more 
consideration than a summary firing without considering of any 
alternatives for them?

    Question 10a. According to several reports, each individual agency 
& Department had the final say on these firings plus a list of possible 
exceptions were given. Is it your testimony that the President and OPM 
in directing this action provided no flexibility or guidance to protect 
veterans from being subject to this action?
    Answer 10-10a. Over the last 4 years, USDA's workforce grew by 8%, 
and employees' salaries increased by 14.5%--including hiring thousands 
of employees with no sustainable way to pay them. This all occurred 
without any tangible increase in service to USDA's core constituencies 
across the agricultural sector. With respect to probationary employees, 
they have been restored to the respective employment status they each 
held prior to their termination. USDA paid each probationary employee 
any commensurate back pay, from the respective date of termination. 
USDA also acted diligently to complete the administrative steps related 
to notifying the probationary employees of their reinstatement, 
ascertaining whether some of the probationary employees choose to 
resign, processing the reinstatements for purposes of all relevant USDA 
record systems, and returning the reinstated employees to duty status.

    Question 11. During your initial firing of probationary employees, 
hundreds of them came forth to show that their termination notices 
indicated that their probationary period of employment was terminated 
due to poor performance. This notice was given to employees who had no 
performance review, those who did have reviews but received favorable 
reviews, and even those who were promoted after a favorable review. On 
April 18, 2025, a Federal judge issued an order requiring USDA to 
provide these employees with a written statement, stating that their 
termination was not performance or fitness based but was made as part 
of a government-wide mass termination. This notice can be found on 
USDA's website, which also includes a statement from the Department 
that it believes this order to be both legally and factually erroneous.
    Who made the decision at USDA to send these notices to probationary 
staff since they must have been drafted before you were sworn in?

    Question 11a. Who at USDA was involved in these conversations since 
you were not yet sworn in as the Secretary? Under what authority were 
they acting?

    Question 11b. On your first day, you held a party while these 
notices were being sent. Would you do it again?

    Question 11c. You have testified to Congress that no one at USDA 
has been fired. Yet, thousands of employees who were at USDA prior to 
January 20, 2025 have been terminated, resigned, placed on 
administrative leave, been part of a reductions in force, or have taken 
a deferred resignation. Please provide a list, by agency, division, 
mission area, or program area of the positions that were staffed prior 
to January 20, 2025 which are no longer staffed.
    If any positions have been eliminated at USDA, please provide a 
list of positions that have been eliminated.
    Answer 11-11c. Over the last 4 years, USDA's workforce grew by 8%, 
and employees' salaries increased by 14.5%--including hiring thousands 
of employees with no sustainable way to pay them. This all occurred 
without any tangible increase in service to USDA's core constituencies 
across the agricultural sector. It is the policy of USDA not to release 
personally identifiable information of USDA employees. With respect to 
probationary employees, they have been restored to the respective 
employment status they each held prior to their termination. USDA paid 
each probationary employee any commensurate back pay, from the 
respective date of termination. USDA also acted diligently to complete 
the administrative steps related to notifying the probationary 
employees of their reinstatement, ascertaining whether some of the 
probationary employees choose to resign, processing the reinstatements 
for purposes of all relevant USDA record systems, and returning the 
reinstated employees to duty status.

    Question 12. Section 3(c) of Executive Order ``Implementing The 
President's `Department of Government Efficiency' Workforce 
Optimization Initiative'' requires all Departments and agencies to 
initiate large-scale reductions in force (RIFs), or mass firings. We 
understand USDA has completed its plan for compliance with this Order, 
even as the Courts have paused its implementation.
    Was the Department given a target number or goal to hit for the 
reductions in force that every Department and agency is required to 
implement pursuant to this Executive Order?

    Question 12a. As the Executive Order directs the Department to 
prioritize for RIFs those employees who are not designated as essential 
during a lapse in appropriations, has USDA looked at who was previously 
deemed non-essential in the first Trump Administration's government 
shutdown during 2018 and 2019. Tell me what guidance you gave your 
staff when you asked them to figure out who gets RIF'd and who stays?
    Answer 12-12a. Over the last 4 years, USDA's workforce grew by 8%, 
and employees' salaries increased by 14.5%--including hiring thousands 
of employees with no sustainable way to pay them. This all occurred 
without any tangible increase in service to USDA's core constituencies 
across the agricultural sector. On July 24, 2025, USDA announced an 
intended reorganization to make certain USDA can afford its workforce. 
To date, much of USDA's personnel reduction was through voluntary 
retirements and the Deferred Retirement Program (DRP), a completely 
voluntary tool. As of July 24, 2025, approximately 15,364 individuals 
voluntarily elected deferred resignation. When necessary, USDA will 
continue to fully leverage voluntary programs such as the Voluntary 
Early Retirement Authority (VERA) and Voluntary Separation Incentive 
Payments (VSIPs). At this time, it is unlikely that USDA will perform 
any large-scale reductions in force, focused and limited reductions in 
force may be implemented only if needed.

    Question 13. Where are you in terms of the USDA reorganization and 
office moves? I understand my Republican colleagues in the Senate are 
pleading for you to move offices to their states.
    Have you had any conversations with elected officials about these 
moves?

    Question 13a. Has GSA begun working on procuring office space for 
staff to move into?

    Question 13b. Will you commit to notifying Congress before a local 
or regional USDA office is closed or otherwise impacted by a 
restructuring or lease termination?

    Question 13c. Will you commit to holding public meetings on 
proposed closures in the county where the USDA office is located?

    Question 13d. Will you commit to holding the required public 
meetings for any proposed closures of county or regional FSA offices?
    Answer 13-13d. USDA announced on August 1, 2025, the opening of a 
30 day public comment period for stakeholders, including USDA 
employees, Members of Congress, and agricultural and nutrition 
partners, to provide feedback on the Department's reorganization plan, 
as outlined in the Secretary's memorandum issued on July 24, 2025.

    Question 14. Eliminating telework and remote schedules and 
requiring USDA Federal workers to work daily from an office, often not 
one affiliated with their agency, has resulted in higher costs as well 
as a drastic loss in productivity and morale, compromising the services 
USDA provides for the American public, most notably farmers. Yet 
previously, the Secretary herself indicated that a flexible work 
schedule was integral to her success. Given the USDA's commitment to 
science and services to the American public, when will the USDA begin 
shifting back to telework and remote work schedules to increase 
productivity and reduce costs?
    Answer. A 2023 study conducted by the GAO reported an 11% space 
utilization for USDA headquarters alone. Interestingly, Congress has 
set a utilization goal of 60%, which means that Congress agrees in-
office work leads to greater productivity. I am committed to ensuring 
the most efficient and effective Department as possible. That effort is 
only possible when employees are at work, in an office, ready and 
available to serve Americans. In addition, President Trump issued a 
Presidential Action Memo that directed agencies to take all necessary 
steps to terminate remote work arrangements and require employees to 
return to work in-person at their respective duty stations on a full-
time basis. USDA will continue to comply with this directive.

    Question 15. We continue to be concerned about staffing issues at 
USDA offices. How many USDA NRCS offices are currently unstaffed? 
According to a late March Agri-Pulse article,\3\ ``At least eight USDA 
offices in Indiana are devoid of NRCS staff following recent cuts, as 
are six in Kansas, five in Oklahoma, four in Missouri and three in 
Minnesota.''
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    Answer. Public Law 115-334, Section 12410 indicates: ``The 
Secretary shall not close any field office of the Natural Resources 
Conservation Service unless, not later than 30 days before the date of 
the closure, the Secretary submits to the Committee on Agriculture of 
the House of Representatives and the Committee on Agriculture, 
Nutrition, and Forestry of the Senate a notification of the closure.'' 
It also indicates: ``The Secretary shall not permanently relocate any 
field-based employees of the Natural Resources Conservation Service or 
the rural development mission area if doing so would result in a field 
office of the Natural Resources Conservation Service or the rural 
development mission area with two or fewer employees, unless, not later 
than 30 days before the date of the permanent relocation, the Secretary 
submits to the Committee on Agriculture of the House of Representatives 
and the Committee on Agriculture, Nutrition, and Forestry of the Senate 
a notification of the permanent relocation.'' NRCS has adhered to these 
prohibitions, ensuring no county-based employees have been relocated in 
a manner that would necessitate notification to the Committees on 
Appropriations.
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Workforce cutbacks strip many NRCS offices of staff
03/05/25 6:07 AM By Noah Wicks \1\
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          The USDA Service Center in Malvern, Arkansas (Photo: USDA)

          Update: A Federal appeals board on Wednesday ordered USDA to 
        allow fired probationary employees to return to work until 
        April 18. In a statement to Agri-Pulse, a USDA spokesperson 
        said the agency ``will work to abide by the ruling and has no 
        further comment at this time.'' Read more here.\2\
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    \2\ https://www.agri-pulse.com/articles/22509-judge-orders-usda-
probationary-employees-reinstated.

    USDA's Natural Resources Conservation Service didn't have a 
district conservationist in Bradley County, Arkansas, for almost 11 
years before Josh Hardin showed up.
    When Hardin was hired by NRCS last August, he was tasked with 
bringing life to an office that had not existed in over a decade. After 
the agency rented a space in an old bank building for him to work from, 
he brought in chairs and tables from home, decorated the space with 
potted plants and outfitted the kitchen with supplies.
    Hardin worked hard to rebuild relationships with area farmers who 
were distrustful of the agency, which for years only sent 
conservationists from Mississippi or other parts of Arkansas to help 
them address soil erosion, water quality and other natural resource 
concerns. He had the right degrees, knew the community and operated a 
farm a few counties over, he said. When he first applied for the post, 
Hardin said his supervisors saw him as a ``perfect fit.''
    Despite the hour and 10 minute drive to work every day, Hardin 
finally felt like he'd landed his dream job. He helped at least 30 new 
``clients,'' as he calls them, apply for conservation programs during 
his tenure. He believes that number is an undercount.
    ``Rarely in life do we get to be in a place where it's like an 
eclipse,'' Hardin said. ``You're doing what you want to do, you're 
making the money you need to make to do it and people are also happy 
you're there.''
    Then the email came.
    On Feb. 13 and 14, at least 1,200 probationary NRCS employees were 
informed that their positions were terminated, as were workers in other 
branches of USDA. Hardin was one of them.

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                                          Josh Hardin (Photo: Josh 
                                        Hardin)

                                  ``We lost a man that was energetic 
                                and was really, really well equipped to 
                                work with the people here,'' Arkansas 
                                timber and cattle producer Allen Primm 
                                said of Hardin's termination.
                                  Now, the Bradley County office once 
                                again lacks a district conservationist 
                                of its own, leaving farmers without a 
                                local contact
qualified to initiate contracts or authorize payments. Buyouts and 
firings have shrunken staffs at other USDA field offices as the Trump 
Administration works to downsize the Federal workforce. Leases for some 
locations will soon be terminated.
    At least eight USDA offices in Indiana are devoid of NRCS staff 
following recent cuts, as are six in Kansas, five in Oklahoma, four in 
Missouri and three in Minnesota, according to a tally by one source 
familiar with these offices. Some of these are ``effectively 
shuttered,'' the source said.
    NRCS Chief Louis Aspey told reporters Monday at Commodity Classic 
in Denver that the agency would stretch staff to cover offices that 
lost personnel. While he said there shouldn't be any offices ``without 
any staff there at all,'' he added, ``If there are, we're realigning at 
the state level to make sure that there's seamless coverage.''
    In a statement, a USDA spokesperson said Secretary Brooke Rollins 
``fully supports President Trump's directive to improve government, 
eliminate inefficiencies, and strengthen USDA's many services to the 
American people.''
    The spokesperson also mentioned the idea of ``consolidating certain 
field offices,'' a move they said ``helps ensure that the American 
people's hard-earned taxpayer dollars are used effectively while USDA 
continues to prioritize the delivery of essential services to farmers, 
ranchers, and producers.''
    In a memo circulated on Jan. 20,\3\ Office of Personnel Management 
Acting Director Charles Ezell gave agency heads 4 days to identify all 
probationary employees, or employees with only 2 years of service or 
less, and ``promptly determine whether those employees should be 
retained at the agency.''
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Probationary-Periods-Administrative-Leave-and-Details-1-20-2025-
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    When mid-February came around, as many as 200,000 probationary 
employees across the Federal Government received emails informing them 
they were fired. In a petition filed \4\ to the Merit Systems 
Protection Board last week, Special Counsel Hampton Dellinger said some 
5,900 USDA employees were removed from their jobs.
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    \4\ https://www.agri-pulse.com/ext/resources/pdfs/USDA-Systemic-
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    Agencies in recent weeks have attempted to bring back some fired 
staffers seen as critical, like scientists working on the government's 
highly pathogenic avian influenza response.
    Federal Judge William Alsup of the Northern District of California 
on Feb. 27 ordered OPM \5\ to rescind its Jan. 20 directive, noting in 
his ruling that it ``did not have the authority to direct the firing of 
employees, probationary or otherwise, in any other Federal agency.'' 
OPM revised its initial guidance \6\ on Tuesday, adding a statement 
saying it ``is not directing agencies to take any specific performance-
based actions regarding probationary employees.''
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    \5\ https://www.agri-pulse.com/ext/resources/pdfs/Alsup-order.pdf.
    \6\ https://www.agri-pulse.com/ext/resources/pdfs/OPM-Guidance-
Memo-on-Probationary-Periods-Administrative-Leave-and-Details-3-4-
2025.pdf.
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    Another 75,000 workers across the entire Federal Government have 
voluntarily accepted deferred resignation and will receive full pay and 
benefits until Sept. 30.
    The mass workforce reductions follow a years-long effort by NRCS 
leaders \7\ to bring on enough new workers to offset a seemingly 
endless stream of employee departures due to retirements and job 
changes while also expanding the agency's ranks to handle $19.5 billion 
in new conservation dollars provided by the Inflation Reduction Act. 
While NRCS had 11,709 full-time staff last October and aimed to reach 
14,000 by 2026, recent employee losses are certain to have set back 
those efforts.
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    \7\ https://www.agri-pulse.com/articles/21766-getting-grounded-
inside-usdas-efforts-to-staff-up-to-meet-farmers-environmental-
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    The agency's remaining county office employees are now likely to 
face heavier workloads, longer travel distances for on-the-ground 
visits and confusion stemming from frozen Federal funds. It may take a 
while for some producers to feel the effect of the staff cuts, but many 
will see impacts eventually, said Kansas Farmers Union Executive 
Director Nick Levendofsky.
    ``The paperwork is stacking up. The work that needs to be done out 
in the field and on the ground is stacking up. And people are 
scrambling to pick up the pieces, basically,'' said Levendofsky, who 
noted Kansas has lost at least 81 NRCS staffers in recent weeks.
    One four-county service area went from having an NRCS technician in 
each office to having one for all four counties, said one respondent to 
a survey released last week \8\ by the National Association of 
Conservation Districts. Some survey participants expected backlogs for 
cultural resources, engineering and wetland compliance to grow, while 
others said producers may be left waiting for payments amid shortages 
of qualified agency employees able to handle project inspection and 
check-out.
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    \8\ https://www.nacdnet.org/wp-content/uploads/2025/02/2025-02-28-
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    ``Certainly, the loss of Federal capacity is being felt,'' said 
Jeremy Peters, NACD's CEO.
    Speaking to Agri-Pulse in Washington, House Ag Committee Chair 
Glenn ``GT'' Thompson, R-Pa., offered some criticism of the NRCS staff 
terminations, saying ``it makes no sense when you have a farm bill that 
promotes technical service for farmers to downsize the number of 
professionals'' who provide that assistance.
    The Trump Administration is now beginning the process of 
terminating state and county office leases \9\ as part of its cost-
cutting efforts. So far, it is looking to do so at 58 facilities used 
by NRCS and the Farm Service Agency, according to an online database 
the Department of Government Efficiency calls its ``Wall of Receipts.''
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    \9\ https://www.agri-pulse.com/articles/22481-usda-prepares-for-
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    Acting FSA Chief Steve Peterson told Agri-Pulse Monday at Commodity 
Classic that any lease terminations will not occur until ``down the 
road,'' giving agency leaders some time to make plans for relocating 
staff. He said the purpose is to ``evaluate savings and see whether or 
not there's the ability to renegotiate or find other locations in those 
areas to possibly find cheaper rent.''
    As the Trump Administration attempts to shrink the Federal 
workforce, it makes sense that it would also try to limit the amount of 
buildings it leases, said Bruce Knight, who served as NRCS chief during 
the George W. Bush Administration.

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                                          Bruce Knight (Credit: Bruce 
                                        Knight)

                                  ``If we're going to have fewer folks 
                                in government, you don't need the 
                                office space to house people who aren't 
                                there,'' Knight told Agri-Pulse.

    Still, legal hurdles may complicate any Trump Administration 
efforts to downsize FSA and NRCS operations, particularly at the county 
level.
    Language in the 2018 Farm Bill bars the [A]griculture [S]ecretary 
from closing any NRCS field offices or leaving them with fewer than two 
employees through staff relocations without notifying the House and 
Senate Ag Committees 30 days in advance. This provision likely remains 
in effect after two temporary farm bill extensions, said recently 
retired ag policy lobbyist Ferd Hoefner.
    Additionally, the funding package approved by lawmakers in fiscal 
2024 barred USDA from using appropriated funds to close Farm Service 
Agency county offices or leave county offices with two or fewer staff 
by relocating employees, unless it sought approval from the House and 
Senate Appropriations committees in advance. The government is 
currently being funded under terms of the FY24 appropriations 
legislation.
    ``Both Republican and Democratic Administrations have tried to 
close county offices and Congress routinely blocks it,'' Hoefner said, 
though he added ``normal process is going to go by the wayside'' in the 
Trump Administration.
    Hardin, the terminated Arkansas employee, has filed an appeal with 
the U.S. Merit Systems Protection Board, submitted a grievance with the 
Office of Special Counsel and is interested in joining a lawsuit filed 
by the American Federation of Government Employees should it become a 
class action, all in the hopes of getting his job back.
    And he says he's not the only one trying.
    ``If you're a Federal employee, you just don't know which way is up 
right now,'' he said. ``It feels like that's the point, that the chaos, 
that these people are intentionally inflicting drama and abuse so we'll 
just run away. But I think they underestimate the people they're 
messing with. They're really just making us all want to fight more.''

          Rebekah Alvey, Phil Brasher and Lydia Johnson contributed to 
        this report.

          For more news, go to www.agri-pulse.com.
          Editor's note: This story was updated to include comment from 
        a USDA spokesperson.

    Question 16. We are concerned with USDA local and regional office 
and staff capacity. How many USDA county, local, regional offices are 
under consideration for closure, lease termination, consolidation, or 
other changes? How many USDA offices around the country are unstaffed, 
how many are understaffed, and how many have been consolidated or 
otherwise impacted by staffing issues?
    Answer. USDA is optimizing building capacity and consolidating 
underutilized offices to reduce inefficiencies while continuing to 
prioritize frontline services for farmers, ranchers, and rural 
communities. I understand the array of mission critical positions and 
programs at the Department and will ensure that those areas have the 
resources and personnel they need to continue serving the American 
people. NRCS and FSA has ensured no county-based employees have been 
relocated in a manner that would necessitate Congressional 
notification.
Farm Bill
    Question 17. The economic assistance package Congress passed last 
year makes payments based on planted acres. Crop insurance operates 
based on planted acres. The farm safety net, however, is based on base 
acres resulting in farmers possibly getting payments for commodities 
they don't even grow. Congress established base acres in order to 
comply with World Trade Organization (WTO) rules which limit how much 
the U.S. can spend to support farmers; rules that don't apply equally 
to all WTO members. If we're going to ignore our trade commitments like 
the USMCA to impose tariffs, why shouldn't we just ignore the WTO and 
reconsider the whole base acre approach to the farm safety net in favor 
of a planted-acre approach?
    Answer. Base acres are a critical mechanism to ensure that safety 
net programs do not influence planting decisions. This is a core 
principle to ensure that our farmers have fair and consistent 
protection while they take on the hard work of feeding, fueling, and 
clothing the world.

    Question 18. We were unable to extend authorization of every farm 
bill program at the end of last term. Can you describe the impact that 
has had?

    Question 18a. Are you hearing from folks involved in the orphan 
programs that did not get funded?
    Answer 18-18a. USDA implements the programs that are authorized and 
funded by Congress.

    Question 18b. What about regarding reimbursement of skimmed/
electronically stolen benefits--have you heard about the impacts of 
that expiration from states operating SNAP or from participants, who 
are victims of skimming?
    Answer. USDA continues to work diligently to prevent fraud and 
ensure program integrity. FNS has made significant and sustainable 
progress in partnership with states, third-party EBT processors, and 
retailers to modernize EBT systems and reduce fraud. FNS has several 
important initiatives underway to strengthen protection for program 
benefits.

    Question 19. More than 20 percent of agriculture products produced 
in the U.S. are exported, and foreign markets have an outsize impact on 
the national farm economy. The last trade war that the President 
started was a $27 billion hit to farmers. How will the current much 
larger trade war trade war impact American producers and farmers?
    Answer. President Biden left American farmers and ranchers with a 
nearly $50 billion trade deficit. President Trump's leadership to seek 
fair and reciprocal treatment for our great producers will bring more 
stable long-term market opportunities around the world for agricultural 
exports.

    Question 20. Suggested cuts to SNAP in the reconciliation process 
are projected to cost farmers over $30 billion in farm income. This is 
approximately the same size as the tariff impacts that devastated 
prices during the first Trump Administration. Does USDA have a plan to 
address an additional hit to farm income? The combination of trade 
policy that removes markets for Americans and domestic policy that also 
diminishes demand at-home is a deadly one for farmers in this country. 
How are farming families supposed to survive such a major hit to their 
bottom line?
    Answer. We are aggressively pursuing market access opportunities 
across the globe. I am proud of the work our team is doing to support 
concrete wins for American farmers and ranchers. Just a few of these 
include:

   Maintaining fair dairy access in Costa Rica \4\ for American 
        dairy farmers.
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   Protecting pork market access in Panama.

   Removing non-tariff barriers for almonds in Japan.

   Resolving barriers to poultry market access in Angola, the 
        9th largest market globally for U.S. poultry.
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Make Agriculture Great Again Trade Win: Secretary Rollins Secures 
        Greater Market Access with Costa Rica for U.S. Dairy Industry
Release No.: 0121.25

Published: May 28, 2025

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    (Washington, D.C., May 28, 2025)--Under U.S. Secretary of 
Agriculture Brooke L. Rollins' leadership, American dairy producers 
will have greater market access as Costa Rica has approved the first 
U.S. dairy facility to be registered under their new streamlined 
approval process.\1\ The Trump Administration continues to break down 
non-tariff barriers, and this latest action is the first of many wins 
ahead for American dairy producers.
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DownloadReportByFileName?fileName=
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    ``Under President Trump's leadership, USDA is putting Farmers 
First. Securing greater market access for American dairy farmers is a 
much-needed win for the U.S. dairy industry and will give our producers 
better increased access to a $130 million market in Costa Rica. I look 
forward to continuing to Make Agriculture Great Again by breaking down 
trade barriers and opening new markets for our farmers and ranchers 
around the globe,'' said Secretary Rollins.
    On May 22, Costa Rica's National Animal Health Service (SENASA) 
officially approved the first American dairy cooperative for export to 
Costa Rica, making it the first U.S. dairy facility to be registered 
under the new streamlined approval process that eases market access for 
U.S. dairy products. This first registration paves the way for future 
U.S. dairy exports to Costa Rica, a $60 million market in 2024, that 
could have been lost if the Trump Administration was not able to 
navigate their new process.
    This Make Agriculture Great Again trade win comes on the heels of 
other major efforts from the Trump Administration to expand market 
access for American producers. In the last 2 months, USDA's Foreign 
Agricultural Service (FAS) has worked with India to reduce tariffs on 
U.S. Bourbon imports by 50 percent, resulting in a likely $2 million 
increase in distilled spirits exports to India in 2025. USDA has also 
worked with Panama to exempt U.S. pork from Panama's import quota 
mechanism and Pakistan to eliminate its arbitrary genetically 
engineered ban on U.S.-grown soybeans, resulting in the immediate sale 
of 65,000 metric tons of U.S.-grown soybeans in the country. The FAS 
efforts to expand market access also included working with Japan to 
lift the mandatory aflatoxin testing requirements on U.S. almonds, 
resulting in a likely eight to ten percent increase of U.S. almond 
exports to Japan annually.
Farm Labor Uncertainty
    Question 21. We hear a great deal from the Administration about 
mass deportation plans and raids on businesses that have scooped up 
non-documented residents, legal foreign residents, and even U.S. 
citizens. At a hearing before the Senate Agriculture Committee, Zippy 
Duvall, the President of the American Farm Bureau, warned that 
``Trump's deportation plans could lead to farms going out of business 
and an interruption in our food supply'' at a scale comparable to the 
COVID-19 pandemic.
    Given that American agriculture's dependence on foreign human 
labor, would you agree with American Farm Bureau President Duvall's 
assessment or is he wrong?
    Answer. The President has been unequivocal that there will be no 
amnesty, and I think that's very important. It is possible for our 
farmers to be successful through a combination of American labor, 
foreign workers that come legally to our country, and increased 
automation. Some reform within the current governing structure 
concerning the visa process will also be necessary.

    Question 21a. Do you believe there is a danger that the 
Administration's current and proposed actions on immigration may make 
even legal workers think twice before coming here to the U.S. to work, 
because farmers are certainly telling us they are worried about that?
    Answer. Workers that are in the United States legally have no 
reason to be concerned.

    Question 22. During your testimony before the House Agriculture 
Appropriations Subcommittee last month, you said that you were working 
to reform the H-2A program with the Department of Labor and the White 
House.
    Can you provide an update on how those efforts are going?

    Question 22a. Who, besides cabinet officials and your staff, is 
involved?
    Please provide the House Agriculture Committee regular updates on 
this work.
    Answer 22-22a. Conversations between the Department of Agriculture, 
Department of Labor, Department of Homeland Security, Department of 
State, and other relevant entities in the Executive branch are ongoing. 
I will update the House Agriculture Committee on these conversations 
whenever appropriate.
Funding Freeze/Cancellations
    Question 23. The Partnerships for Climate-Smart Commodities 
initiative, now know as Advancing Markets for Producers (AMP) has 
proved to be a valuable addition to USDA's efforts to promote 
voluntary, farmer-led conservation in rural America. We have heard 
participants around the country describe being left waiting, uncertain 
whether farmers will be compensated for the tremendous environmental, 
economic, and agronomic benefits they have been working toward. I 
strongly urge you to improve communication moving forward.
    Can you confirm USDA will honor its promises to farmers and 
ranchers and provide the same amount of funding originally obligated to 
each PCSC project be available under AMP?

    Question 23a. Will AMP applications be reviewed and re-approved on 
a rolling basis? What is the expected timeline for projects to hear 
from USDA?
    Answer 23-23a. The Advancing Markets for Producers (AMP) initiative 
will champion USDA's mission with the policy priorities of Farmer 
First, Market and Value Chain Development, and Community and 
Cooperative Development. AMP will continue to fund conservation 
practices and support farmers. Recipients for all projects were given 
the opportunity to continue work in AMP through an amendment of the 
original award to meet the threshold of USDA' s priorities. Agreement 
holders were notified of this opportunity on May 15, 2025, and were 
given until June 20, 2025, to submit amendment packages. The agency is 
currently reviewing the amendment packages and will proceed with 
signature and approval for those that meet the initiative priorities.

    Question 24. In mid-April, the three nationwide awardees of the 
USDA NIFA Farm and Ranch Stress Assistance Network (FRSAN) lost access 
to their USDA reimbursement portal. This is both an infuriating and 
devastating development for these networks of practitioners, and for 
farmers and farm workers across the country who rely on this 
programming. All three networks have shut down their services, 
exacerbating the mental health crisis facing farmers across the 
country. Frozen payments and continued uncertainty around whether or 
not the FRSAN contract will ultimately be honored continues to cause 
significant harm to American producers who struggle with mental health, 
especially amid dire economic conditions.
    Why was FRSAN, an essential program that supports farmers in 
emergency situations, paused at all?

    Question 24a. This program is life or death. When can we expect 
this lifeline to American farmers who are struggling to be turned back 
on?
    Answer 24-24a. The funding for FRSAN is not paused.

    Question 25. On March 7th, USDA terminated all FY 2025 contracts 
for the Local Food Purchase Assistance Cooperative Agreement Program 
(LFPA) and the Local Food for Schools Cooperative Agreement Program 
(LFS) because the agency determined that the agreements ``no longer 
effectuates agency priorities.'' These programs were successful in 
building stronger economies and regional supply chains by connecting 
farmers, ranchers, and fishermen to local market opportunities--
outcomes that I believe should be in line with the agency's priorities. 
These cancellations totaling over $1 billion will shutter valuable 
local markets for producers and take away healthy, nutritious foods 
from schoolchildren and families in need. These programs are not just 
relics of COVID programming, LFPA and LFS serve as models of USDA 
procurement that are both targeted and effective and, unlike the 
Farmers to Families Food Boxes that came before it, it supported local 
and regional producers and organizations to prioritize equitable 
distribution.
    When you abruptly canceled $660 million from LFS and $420 million 
from LFPA, the farmers that prepared to grow and provide food for their 
local communities and already signed contracts for seed, labor, and 
transportation, are now left with huge holes in their pockets and lost 
markets, since these programs operate on a reimbursement basis. In 
addition, food banks and schoolchildren will no longer receive local, 
healthy products through LFPA and LFS.
    How does taking away resources and markets from farmers and food 
away from low-income people and children align with the agency's 
priorities?
    Answer. With 16 robust nutrition programs in place, I will work to 
ensure USDA remains focused on its core mission: strengthening 
nutrition assistance for those most in need, supporting agricultural 
markets, and ensuring access to nutritious food.

    Question 25a. On March 14th, over 80 of my colleagues sent a letter 
to USDA following the termination of LFPA and LFS agreements demanding 
answers and justification. Your agency's response on April 2nd left a 
number of our questions unanswered and simply pointed to the increase 
of Section 32 purchases to support The Emergency Food Assistance 
Program (TEFAP)--a program your agency has also terminated $500 million 
in CCC funding for.
    Secretary Rollins, you point to TEFAP as a reprieve for farmers and 
hungry Americans when you slashed local foods programs and at the same 
time, cut half a billion dollars from TEFAP. Are you aware that 
overall, cutting LFPA, LFS, and TEFAP will provide quality food to 
fewer Americans even accounting for the sporadic Section 32 purchases?
    Answer. USDA released in March over $450 million in previously 
obligated funds for LFPA and LFS to fulfill existing commitments and 
support ongoing local food purchases. USDA continues to purchase food 
for TEFAP, with more than $271 million spend in FY 2025 thus far.

    Question 25b. Secretary Rollins, your letters from April 2nd and 
April 29th indicated that current LFPA and LFS may be extended upon 
request. What factors are considered in the evaluation of an extension 
request? Will an extension be funded through the Commodity Credit 
Corporation (CCC)? When can we expect those extensions to be confirmed?
    Answer. USDA continues to work with individual recipients based on 
their circumstances to assess extension requests. Extensions provide 
recipients with a longer period of time to expend previously obligated 
LFPA and LFS funds. Extensions continue to be confirmed as details are 
finalized between the Department and the requesting recipient.

    Question 26. The Rural Energy for America Program, commonly known 
as REAP, offers grants and loan guarantees to farmers, ranchers, and 
rural small businesses for energy efficiency improvements and renewable 
energy systems. Since its inception in the bipartisan farm bill in 
2008, REAP has provided grants and loans that have helped more than 
21,000 farms and 32,710 rural small businesses.
    In March, USDA announced the release of previously frozen REAP 
funding, but by April there will still reports on the ground of funding 
being under review and grants being frozen. The Ranking Members of both 
the Senate and House Ag Committees sent your agency a letter asking for 
an update on April 25th, but they have not received a response since. 
Are any REAP grants still frozen?

    Question 26a. Why has your agency not responded if the funds are 
out the door?

    Question 26b. Why were these funds were frozen in the first place? 
This program is a win-win for our nation's farmers and rural 
communities, and freezing funding threatens not only those projects, 
but calls into question if our constituents can trust the Federal 
Government to uphold their end of the bargain when they enter into a 
contract.
    Answer 26-26b. USDA has released all previously frozen funds for 
REAP. We are committed to processing these as quickly and efficiently 
as possible. The process of thoroughly reviewing and obligating a large 
volume of grants, particularly after a period of programmatic 
assessment, is complex and ongoing. Our priority has been to ensure the 
proper and timely disbursement of funds to eligible recipients.

    Question 27. Previously at USDA, grants and awards were recommended 
by USDA-subject matter experts (SMEs) in collaboration with independent 
scientific reviewers. Under the new Administration, additional 
mechanisms have been added for the review and recommendation process 
with non-SMEs having disproportionate influence on award decisions. 
Please describe the qualifications of those reviewing the awards in 
these additional stages and the experience they have in agricultural 
research.
    Answer. Once applications for a program are received, the NIFA 
National Program Leader for the program convenes a peer-review panel 
led by a panel chair. All identities of the peer reviews are kept 
confidential. Once recommendations are made for awards to be funded, 
the recommended projects go through compliance and due diligence to 
ensure the prospective grantee is eligible to receive NIFA funding. 
Finally, all recommended projects are administratively reviewed by an 
internal team at USDA to ensure the projects align with Administration 
priorities. Once completed, the project directors are notified of the 
status of their application.

    Question 28. USDA grants and awards for FY 2025 have been delayed 
given these additional mechanisms. What is the timeline for the release 
of FY25 awards and what will the USDA do to ensure this delay does not 
impact USDA's relationships with agricultural researchers and 
stakeholders? Moreover, given the involvement of the office of 
efficiency/DOGE, what will the USDA do to guarantee scientific 
integrity remains USDA's primary priority for NIFA, ARS, ERS, and other 
REE mission areas?
    Answer. NIFA is making use of all mechanisms to deliver FY25 funds 
to stakeholders in an efficient manner. NIFA leaders have remained in 
contact with partner universities and stakeholder organizations to 
ensure they are kept abreast of our progress and what to expect in the 
time between now and the end of FY25 to ensure obligation of 1 year 
funds.

    Question 29. Previously published RFAs (notifications of funding 
opportunities) have been removed from the USDA NIFA websites and the 
timing for the release of the new RFA continues to shift. Because of 
this significant delay, researchers and stakeholders will have limited 
time to submit proposals which will impact research, timelines, and 
outcomes that can benefit U.S. agriculture. How will the USDA prevent 
the delay in the release of the RFA from compromising the mission of 
NIFA and ensure the programs continue to operate with funds allocated 
to the most critical agricultural issues?
    Answer. USDA NIFA intends to obligate all 1 year funding by 
September 30, 2025. NIFA staff are identifying mechanisms to do this 
such as funding meritorious unfunded proposals from FY24 RFAs and 
streamlining peer review processes for other RFAs to meet the fiscal 
year deadline.

    Question 30. As of June 17th a large number of awards from previous 
years have been terminated or suspended often for using scientific 
terms such as ``climate'' or ``sustainable''. Many of the terminated 
research projects will have direct impacts on farmers, production, 
market access and farm revenue. Given USDA's commitment to science and 
supporting farmers and producers, when will these suspensions be 
lifted, terminations rescinded, and the awards accessible to 
researchers and scientists?
    Answer. Putting American Farmers First means cutting the millions 
of dollars that are being wasted on woke DEI propaganda. Under 
President Trump's leadership, I am putting an end to the waste, fraud, 
and abuse that has diverted resources from American farmers and 
restoring sanity and fiscal stewardship to the U.S. Department of 
Agriculture.
Food Aid
    Question 31. In your termination letters for 27 Food for Progress 
and 17 McGovern-Dole projects you stated that the terminated agreements 
``are not in alignment with the foreign assistance objectives of the 
Trump Administration.'' According to your own website the key objective 
of the McGovern-Dole Program ``is to reduce hunger and improve literacy 
and primary education, especially for girls.'' Can you identify what 
exactly you are opposed to? Are fighting hunger and promoting literacy 
are not objectives for this Administration?
    Answer. Fighting hunger and promoting literacy remain core 
objectives of the McGovern-Dole program. The FY25 Notice of Funding 
closed on June 23, 2025, and my team is actively reviewing projects 
that align with President Trump's foreign policy objectives in putting 
Americans first. Individual projects that do not meet this standard 
were terminated.

    Question 32. I have heard that the termination of the McGovern-Dole 
and Food for Progress programs was at the request of the White House 
and that there may have been a list of proposed cancellations that went 
beyond what you terminated. Please provide a full list of proposed 
cancellations and the justifications for why those programs were going 
to be canceled.
    Answer. A full list of terminated McGovern-Dole and Food for 
Progress projects was provided to your staff on May 22, 2025.
    The United States Department of Agriculture's Foreign Agriculture 
Service (FAS) has terminated 27 Food for Progress agreements and 17 
McGovern-Dole International Food for Education and Child Nutrition 
Program agreements that are not in alignment with the foreign 
assistance objectives of the Trump Administration. All terminated 
awardees will be reimbursed for costs incurred up to the effective date 
of termination. A sample, redacted termination letter for each program 
is attached.

    Please note that all U.S. agricultural producers have received 
payment for commodities in which partners have drawn down or have 
requested to be drawn down from the Department; and that partners are 
required to deliver any commodity en route to its final destination in 
accordance with the Agreement.

    While certain projects were terminated, USDA/FAS continues to 
administer both the Food for Progress and McGovern-Dole International 
Food for Education and Child Nutrition Programs:

   14 active Food for Progress projects remain in 17 countries; 
        and

   30 active McGovern-Dole projects remain in 22 countries.

    In addition, USDA/FAS is planning for the next phase of the 
programs; having published the FY25 McGovern-Dole notice of funding 
opportunity on May 9, and is finalizing its notification of FY 25 
funding opportunity for Food for Progress.

                 27 Terminated Food for Progress Awards
------------------------------------------------------------------------
  Fiscal Year        Country        Organization      Short Description
------------------------------------------------------------------------
          FY14   Guatemala       Gov. of Guatemala   Connecting
                                                      producers to non-
                                                      U.S. markets
          FY16   Haiti           CRS                 Connecting
                                                      producers to non-
                                                      U.S. markets
          FY18   Guatemala       Technoserve         Connecting
                                                      producers to non-
                                                      U.S. markets
          FY19   Peru            NCBA CLUSA          Connecting
                                                      producers to non-
                                                      U.S. markets
          FY19   West Africa     CNFA                Connecting
                                                      producers to non-
                                                      U.S. markets
          FY20   Bangladesh      Land O Lakes        Connecting
                                                      producers to non-
                                                      U.S. markets
          FY20   Colombia        Prtnrs of the       Mandating climate-
                                  Amrcs               smart practices
          FY20   DR              IESC                Studying arbitrary
                                                      scientific
                                                      guidelines
          FY20   Uganda          CRS                 Connecting
                                                      producers to non-
                                                      U.S. markets
          FY20   West Africa     Technoserve         Connecting
                                                      producers to non-
                                                      U.S. markets
          FY22   Thailand        Winrock             Providing financing
                                                      and cash
                                                      assistance
          FY22   Peru            NCBA CLUSA          Mandating climate-
                                                      smart practices
          FY22   Jamaica         ACDI/VOCA           Connecting
                                                      producers to non-
                                                      U.S. markets
          FY22   Malawi          Winrock             Mandating climate-
                                                      smart practices
          FY22   Burundi         Technoserve         Connecting
                                                      producers to non-
                                                      U.S. markets
          FY23   Nepal           Lutheran Wrld       Providing financing
                                  Relief              and cash
                                                      assistance
          FY23   Bangladesh      ACDI/VOCA           Mandating climate-
                                                      smart practices
          FY23   Lesotho         Land O Lakes        Mandating climate-
                                                      smart practices
          FY23   Ivory Coast     Technoserve         Connecting
                                                      producers to non-
                                                      U.S. markets
          FY23   Mauritania      Prtnrs of the       Mandating climate-
                                  Amrcs               smart practices
          FY24   Sri Lanka       IESC                Studying methane
                                                      emissions in dairy
                                                      sector
          FY24   Cambodia        Land O Lakes        Supporting another
                                                      government's lab
                                                      research
          FY24   Tanzania        Lutheran Wrld       Connecting
                                  Relief              producers to non-
                                                      U.S. markets
          FY24   Tunisia         Prtnrs of the       Mandating climate-
                                  Amrcs               smart practices
          FY24   Benin           Prtnrs for Devpt.   Connecting
                                                      producers to non-
                                                      U.S. markets
          FY24   Madagascar      CRS                 Mandating climate-
                                                      smart practices
          FY24   Rwanda          CNFA                Building capacity
                                                      for government
                                                      instns.
------------------------------------------------------------------------


                      17 McGovern-Dole Terminations
------------------------------------------------------------------------
         FY                  Country                 Organization
------------------------------------------------------------------------
FY19                 Uzbekistan              Mercy Corps
FY19                 Togo                    CRS
FY20                 Guatemala               CRS
FY20                 Honduras                CRS
FY20                 Mali                    CRS
FY21                 Benin                   CRS
FY21                 Burkina Faso            CRS
FY21                 Kyrgyzstan              Mercy Corps
FY21                 Laos                    CRS
FY21                 Sierra Leone            CRS
FY22                 Burundi                 CRS
FY22                 Lesotho                 CRS
FY22                 Madagascar              CRS
FY22                 Timor-Leste             CARE
FY23                 Nepal                   WFP
FY23                 Nicaragua               Project Concern Int'l
FY24                 Guinea-Bissau           CRS
------------------------------------------------------------------------

                              attachment 1
[Date]

  [Address]

    Dear [Address]

    This letter provides notice that the United States Department of 
Agriculture, Foreign Agricultural Service (FAS), is terminating your 
federal award, Food for Education Agreement #OGSM: FFE-XXX-20XX-XX, 
McGovern-Dole 20XX [Country] (the ``Agreement''). FAS is terminating 
the Program Agreement in accordance with Part V, Paragraph D, of the 
Agreement; 7 C.F.R.  1599.17; and 2 C.F.R.  200.340-343.
    Termination. FAS notes that this termination is not a result of any 
noncompliance with the Agreement on the part of [Organization]. FAS has 
determined that the McGovern-Dole Agreement specified above does not 
align with the foreign assistance objectives of the Department. See 2 
C.F.R.  200.340(a)(4); 7 C.F.R.  1599.17(a)(2). Pursuant to, among 
other authorities, 2 C.F.R.  200.339-343, which are applicable to 
your Agreement, the Department hereby terminates award No. (FFE-XXX-
20XX-XXX) in its entirety effective June 30, 2025.
    Closure. You must submit all final reports and a final payment 
request no later than 120 calendar days after June 30, 2025. You will 
be reimbursed for costs incurred up to the effective date of 
termination that are determined to be consistent with 2 C.F.R.  
200.343, Effects of suspension or termination. FAS will evaluate the 
allowability of other expenses incurred following termination as 
appropriate, as described at 2 C.F.R.  200.472. However, properly 
incurred expenses associated with the security, integrity, and 
disposition of any commodities currently in [Organization] possession, 
or en route to their final destination, shall be reimbursed. Any open 
balance remaining 120 days after the effective date of termination will 
be unavailable for payment.
    If you do not submit all reports in accordance with the terms and 
conditions of the Agreement within one (1) year of the effective 
termination date, FAS must proceed to close out the Agreement with the 
information available. In these circumstances, in accordance with 2 
C.F.R.  200.344, FAS must report your material failure to comply with 
the terms and conditions of the Agreement in SAM.gov using the 
Contractor Performance Assessment Reporting System (CPARS). In this 
way, failure to submit timely and accurate final reports may affect 
your future funding.
    Recipients are required by Federal regulation to retain all Federal 
Agreement records consistent with 2 C.F.R.  200.334.
    [Organization] is responsible for ensuring the security and 
integrity of any undistributed donated or procured commodities and must 
dispose of such commodities only as agreed by FAS. If [Organization] 
has active shipments en route to the final program destination, 
[Organization] is instructed to work with FAS to facilitate the 
delivery of those commodities in accordance with the Agreement and 
cease any further calls forward for commodities under the Agreement.
    Any sale proceeds, FAS-provided funds, interest, or program income 
that have not been disbursed must be used or returned only as agreed to 
by FAS. Within 120 days of the date of termination, please send 
repayment via check for the funds representing the remaining cash 
resources. The check should be made payable to the Foreign Agricultural 
Service, and mailed to:

  USDA FMMI FMS Collections
  PO Box 979099
  St. Louis, MO 63179-9000

    If the method of delivery requires a physical street address, the 
following address should be used:

  U.S. Bank
  Lockbox 979099
  1005 Convention Plaza
  St. Louis, MO 63101

    Please ensure that the check is accompanied by clear information on 
the Program Agreement number and date, the country name, and the 
program.
    Termination of the Agreement does not affect FAS's right to 
disallow costs and recover funds based on a later audit or other 
review. In addition, termination does not affect a recipient's 
obligation to return any funds due as a result of later refunds, 
corrections, or other transactions, including final indirect cost rate 
adjustments (refer to 2 C.F.R.  200.345).
    If you have questions, contact lindsay.carter@usda.gov.
            Sincerely,

Mark Slupek,
Acting Associate Administrator and General Sales Manager,
Foreign Agricultural Service,
United States Department of Agriculture.
                              attachment 2
[Redacted]

  [Redacted]
  [Redacted]
  [Redacted]
  [Redacted]

    Dear [Redacted]

    This letter provides notice that the United States Department of 
Agriculture, Commodity Credit Corporation CCC is terminating your 
federal award, Food for Progress Agreement [Redacted], Food for 
Progress FY 2024 [Redacted] (the ``Agreement''.) CCC is terminating the 
Program Agreement in accordance with Part IV, Paragraph D, of the 
Agreement; 7 C.F.R.  1499.16; and 2 C.F.R.  200.340-343.
    Termination. CCC notes that this termination is not a result of any 
noncompliance with the Agreement on the part of [Redacted] CCC has 
determined that the Food for Progress award specified above does not 
align with the foreign assistance objectives of the Department. The 
award is therefore inconsistent with, and no longer effectuates, 
Department priorities and is no longer necessary or desirable. See 2 
C.F.R.  200.340(a)(4); 7 C.F.R.  1499.16(a)(2). Pursuant to, among 
other authorities, 2 C.F.R.  200.339-343, which are aplicable to your 
award, the Department hereby terminates award No. [Redacted] in its 
entirety effective May 31, 2025.
    Closure. You must submit all final reports and a final payment 
request no later than 120 calendar days after May 31, 2025. You will be 
reimbursed for costs incurred up to May 31, 2025, that are determined 
to be consistent with 2 C.F.R.  200.343, Effects of suspension or 
termination. CCC will evaluate the allowability of other expenses 
incurred following termination as appropriate, as described at 2 CFR 
200.472. However, properly incurred expenses associated with the 
security, integrity, and disposition of any commodities currently in 
[Redacted] possession, or en route to their final destination, shall be 
reimbursed. Any open balance remaining 120 days after the date of this 
notice will be unavailable for payment.
    If you do not submit all reports in accordance with the terms and 
conditions of the Agreement within one (1) year of the effective 
termination date, CCC must proceed to close out the award with the 
information available. In these circumstances, in accordance with 2 
C.F.R.  200.344, CCC must report your material failure to comply with 
the terms and conditions of the award in SAM.gov using the Contractor 
Performance Assessment Reporting System (CPARS). In this way, failure 
to submit timely and accurate final reports may affect your future 
funding.
    Recipients are required by Federal regulation to retain all Federal 
award records consistent with 2 C.F.R.  200.334.
    [Redacted] is responsible for ensuring the security and integrity 
of any undistributed donated commodities and must dispose of such 
commodities only as agreed to by CCC. If [Redacted] has active 
shipments en route to the final program destination, [Redacted] is 
instructed to facilitate the delivery of those commodities in 
accordance with the Agreement and cease any further calls forward for 
commodities under the Agreement.
    Any sale proceeds, CCC-provided funds, interest, or program income 
that have not been disbursed must be used or returned only as agreed to 
by CCC. Within 120 days of the date of termination, please send 
repayment via check for the funds representing the remaining cash 
resources. The check should be made payable to the Commodity Credit 
Corporation, and mailed to:

  [Redacted]
  [Redacted]
  [Redacted]
  [Redacted]

    If the method of delivery requires a physical street address, the 
following address should be used:

  [Redacted]
  [Redacted]
  [Redacted]
  [Redacted]

    Please ensure that the check is accompanied by clear information on 
the Program Agreement number and date, the country name, and the 
program.
    Termination of the agreement does not affect CCC's right to 
disallow costs and recover funds based on a later audit or other 
review. In addition, termination does not affect a recipient's 
obligation to return any funds due as a result of later refunds, 
collections, or other transactions, including final indirect cost rate 
adjustments (refer to 2 C.F.R.  200.345).
    If you have questions, contact your FAS Program Contact at 
[Redacted].
            Sincerely,

[Redacted]
[Redacted]
Foreign Agricultural Service,
United States Department of Agriculture.

    Question 33. Food for Progress purchases and monetizes U.S. 
commodities. This program helps build the agricultural sector in other 
countries while directly helping U.S. farmers. You claim to support 
farmers, if that is true the why are you canceling programs that 
directly support U.S. farmers?
    Answer. The Food for Progress program has not been canceled. 14 
active projects remain ongoing in 17 countries. Individual projects 
that did not align with the Department's foreign assistance objectives 
were terminated. All commodity purchases for the terminated projects 
had already taken place. The FY26 Notice of Funding closed July 31, 
2025.
MAHA Commission
    Question 34. In last month's MAHA Report, in Section 1, ``The Shift 
to Ultra-Processed Foods'', under the heading ``Government Programs 
Compounding the Issue'', the report notes that crop insurance primarily 
covers traditional field crops, that specialty crops account for only 
17 percent of the entire Federal crop insurance portfolio, and 
subsidies for fruits, vegetables, tree nuts, and support for organic 
foods account for a mere 0.1 percent of the farm bill spending.
    If these facts are, using the report's terms, ``compounding the 
issue'', then what is the solution?
    Answer. We must do more to improve the health outcomes of our 
children and families, and President Trump knows agriculture is at the 
heart of the solution. Secretary Kennedy and I are actively working 
together in crafting sensical Dietary Guidelines for Americans (DGAs) 
that are set to be released soon. The agencies are working to ensure 
Federal nutrition advice is sound, simple, and clear. The guidelines 
will prioritize whole, healthy, and nutritious foods such as dairy, 
fruits, vegetables, and meats.

    Question 34a. It appears the report is setting up for a call to 
increase farm bill funding for crop insurance and other programs that 
specifically support specialty crops to encourage their production; 
would that be a fair assessment?
    Answer. I look forward to sharing more information as it pertains 
to critical support for our producers when the report is released soon.

    Question 34b. How do we pay for such increases? Should they be paid 
for by reduction in support for traditional field crops?
    Answer. As the report is announced soon, I look forward to sharing 
more information.

    Question 34c. Given this sentiment, has Secretary Kennedy or others 
on the MAHA Commission shared their thoughts on the increases in the 
farm safety net included in reconciliation and how they view it in a 
MAHA context?
    Answer. We are working diligently to make sure our farmers and 
producers are able and equipped to continue providing the healthiest 
food to children and families.

    Question 34d. Secretary Kennedy has repeatedly amplified unproven 
and unscientific claims that threaten America's farmers and food 
producers, including calling sugar a poison. Why should America's sugar 
growers trust an Administration that lets their primary voice for human 
health disparage an entire industry based on nothing but his own 
personal view?
    Answer. My commitment is to continue working with American farmers 
to ensure that our producers have a seat at the table

    Question 34e. What have you said to him directly regarding his 
comments, if anything?
    Answer. Secretary Kennedy and I share the same views, working to 
ensure our farmers, ranchers, and producers have a seat at the table, 
and the tools needed to continue providing food for the country and 
world.

    Question 35. Secretary Kennedy has taken drastic steps to undermine 
national vaccination policy. Do you share his views and are you 
allowing him to dictate how you approach vaccination strategy for 
animals?
    Answer. Secretary Kennedy and I both look forward to assisting 
American farmers, ranchers, and producers, in our commitment to 
ensuring that we have the healthiest nation, even as it pertains to our 
vaccine strategy.

    Question 36. We have heard from many farmers and farm groups that 
the MAHA report was threatening to them. I understand the White House 
is trying to assuage the feelings of farmers by hosting meetings with 
various ag groups this week and next.
    What are you hearing from farmers?

    Question 36a. What should I tell my farmers to help ease their 
concerns?
    Answer 36-36a. America's farmers and ranchers dedicate their lives 
to feeding their country and the world, and in doing so have created 
the safest and most abundant and affordable food supply in the world. 
Secretary Kennedy and I both look forward to assisting American 
farmers, ranchers, and producers, in our commitment to ensuring that we 
have the healthiest nation.
Oversight
    Question 37. We are concerned that Members of this Committee are 
not getting regular updates on the important work of USDA, like H5NI or 
New World Screwworm to name just two areas of concern. I think we've 
only had one New World Screwworm briefing for staff, and none for 
Members. This is unacceptable. Will you commit to provide regular 
briefings to Members and staff on these issues?
    Answer. Yes. Of note, USDA's Office of Congressional Relations 
hosts a monthly Congressional briefing to provide HPAI and New World 
Screwworm (NWS) updates and has held multiple additional Congressional 
briefings in conjunction with my announcements related to NWS and the 
southern border ports.

    Question 38. Do you not believe that Congress, particularly this 
Committee of jurisdiction, has an important oversight function?

    Question 38a. Committee Democrats have read more about what USDA is 
doing in press releases and statements from groups like the Cattleman, 
that we have heard from the USDA Office of Congressional Relations.
    This is serious. The work of Congress is serious. Our oversight 
role is serious. Why are we not getting the news and information from 
USDA in a timely manner?
    Answer 38-38a. USDA has, and will continue to hold, regular 
briefings on a multitude of topics across all mission areas. We have 
provided technical assistance on legislation to any office that 
requested us to do so. We regularly provide advanced copies of press 
releases and notices to the Hill on upcoming issues. We are responding 
to every letter, email, and phone call from our colleagues in Congress. 
Our briefings are bipartisan. Our responses to Congressional offices 
are bipartisan. We invite your office and any other office to engage 
with us.

    Question 39. Secretary Rollins, your budget proposal zeroes out 
funding for Conservation Technical Assistance. This is a highly 
unpopular proposal here on the Hill, as you will see reflected 
throughout the appropriations process. If Congress provides funding for 
this program and others that you have rashly proposed cutting, can you 
guarantee that you will implement the bill we passed as legally 
required?
    Answer. USDA will follow the law.
SNAP
    Reconciliation Cuts

    Question 40. In the Republicans' reconciliation package, an extreme 
provision was included to create an unfunded mandate for states to pay 
for a portion of SNAP benefits, ranging anywhere from 5 to 25 percent 
in any given year, with little to no ability for the state to predict 
where they'll fall in that range. CBO estimates that, collectively, 
states would be forced to reduce or eliminate food assistance for about 
1.3 million people in an average month.
    What are the options or authority that states will have to meet the 
match in other ways if they aren't able to find the money--i.e., via 
SNAP benefit and eligibility cuts? The bill doesn't explicitly provide 
states with that authority and, in our markup, our Chairman refused to 
answer the question of what would happen if a state couldn't meet their 
match. But without other options, states would have to drop out of the 
program entirely if they couldn't meet their match. Under the 
majority's proposed reconciliation bill, will states that cannot meet 
their match be able to cut benefits or eligibility by an equivalent 
amount?
    Answer. The One Big Beautiful Bill (P.L. 119-21) was signed into 
law on July 4. USDA FNS is currently reviewing the enacted legislation 
to assess its immediate impacts on our programs, including SNAP. FNS is 
committed to ensuring a smooth and effective implementation, and I will 
direct my team to update you as soon as there is additional guidance.

    Purchase Restriction Waivers

    Question 41. We support promoting healthier diets and lifestyles 
for all Americans. I do have serious concerns, though, with us making 
life more difficult for Americans who are already struggling to make 
ends meet. We shouldn't make a program that is supposed to make their 
lives easier too confusing and too frustrating for anyone to want to 
participate in.
    Yet, you have already approved three different waivers, each of 
which have different restrictions on what can be purchased with SNAP. 
One restricts soda and candy, one restricts soda and energy drinks, and 
one restricts candy, candy-coated items, gum, licorice, mints, fruit 
leathers, sweetened baking chocolate, fruit or nuts with any sugar or 
honey added, granola bars--unless they include flour--and various types 
of popcorn if it has any sugar content, like kettle corn.
    You state in your approval letters that these waivers cannot ``in 
any way impede inter-operability of SNAP program benefits'' and that 
purchases made across state lines won't negatively impact SNAP 
eligibility for households.
    What happens if someone participating in SNAP in a restricted state 
purchases a restricted item across state lines? Nothing? Folks living 
near state lines can switch stores so they don't have to deal with 
confusing red tape? How's that going to be effective in determining 
whether restrictions are effective in these demonstration projects?
    Answer. SNAP restriction waivers do not affect or impede SNAP 
inter-operability. SNAP restrictions operate at the state level, and 
all SNAP recipients making a purchase with SNAP benefits within a state 
with an approved waiver must comply, regardless of residency. The terms 
and conditions of the waiver approval require each state to track and 
evaluate out-of-state transactions in bordering states.

    Question 41a. What kind of signage are you requiring retailers 
provide to explain this to folks so they can avoid embarrassment at 
checkout with all these changes?
    Answer. Each state approved for a SNAP restriction waiver is 
required to develop in-depth SNAP client and SNAP retailer 
communication plans detailing education materials and methods. State 
agencies are working collaboratively with retailers to develop these 
communication plans to ensure clear guidance, staff training, 
consistent messaging, and effective outreach to customers to ensure 
they understand what foods are and are not allowable for purchase with 
SNAP benefits.

    Question 41b. Can retailers in these states that don't want to deal 
with this red tape and confusion to opt out of these pilots?
    Answer. Retailers may not opt out of the SNAP restriction waivers. 
Participation is mandatory for all retailers in states with approved 
waivers. However, approved states are offering 6 months lead time or 
more to educate retailers about the waiver restrictions and provide 
technical assistance to support them as they come into compliance to 
support these pilot projects.

    Question 41c. For example, will a grocer that doesn't know that a 
granola bar was reformulated last week and no longer includes flour be 
penalized for committing a violation if they sell it to a SNAP 
participant? Will the participant be penalized if they try to buy it?
    Answer. FNS is committed to program integrity and is providing 
ongoing technical assistance to state agencies, who are, in turn, 
working closely with retailers. SNAP restriction waivers are not 
implemented immediately upon approval which allows for careful planning 
and coordination of restricted items. State agencies will be in 
continued communication with retailers to ensure compliance with the 
waiver restrictions as new products enter the marketplace.

    Question 42. These SNAP purchase restriction waivers specifically 
depend on the SNAP-Ed program--the one which Republicans want to 
eliminate--to ``provide additional nutrition support and education'' as 
part of state assessment of the pilot's success. Given that the 
reconciliation bill eliminated SNAP-Ed, will you be reevaluating those 
approvals?
    Answer. SNAP restriction waivers are not dependent on the SNAP-Ed 
program, and states have the flexibility to tailor evaluation plans 
based on available resources.

    SNAP Data Security

    Question 43. In response to the Administration's May 20th Executive 
Order 14243, ``Stopping Waste, Fraud, and Abuse by Eliminating 
Information Silos,'' USDA issued a letter to SNAP state agencies on May 
6th, requesting ``unfettered access'' to sensitive data on program 
participants, including, but not limited to, names, dates of birth, 
personal address, Social Security Numbers and benefits received. While 
a recent court filing from USDA indicates that your department will not 
collect this data while it works to comply with the Privacy Act, we 
still have significant concerns. There are already secure mechanisms to 
combat the rare instances of fraud in SNAP, like the National Accuracy 
Clearinghouse (NAC), Quality Control system, and fraud investigators 
within FNS and states. So, it's clear that sprawling access to SNAP 
recipients' personal data is not necessary to ensure the program is 
running well. Instead, consolidating the personal data of tens of 
millions of Americans puts their data at serious risk and could 
undermine trust in the program moving forward.
    Secretary, when will the National Accuracy Clearinghouse be 
implemented in all states? Is it still on track to be live nationwide 
by the statutory deadline of the October 2027 deadline (as USDA's 
website states)?
    Answer. Yes, all states are on track to implement the NAC 
nationwide by October 2027.

    Question 43a. And as you know, the NAC uses Social Security 
Numbers, and dates of birth are used by the state agencies to find a 
positive match. However, these identifiers are not uploaded directly to 
the NAC. In order to protect participant information, state agencies 
will use a privacy-preserving record linkage process--or PPRL--to 
convert these data elements to a secure cryptographic hash before 
sharing the information to the NAC. The PPRL process allows the NAC to 
accurately match individuals, while preventing the collection and 
storage of the names, social security numbers, and dates of birth in 
the NAC system. If your agency insists on moving forward with 
consolidating SNAP data under this Executive Order, do you commit to 
using a privacy-preserving record linkage process to protect Americans' 
sensitive personal data?
    Answer. Due to pending litigation, USDA is unable to comment on 
this question.

    SNAP Skimming

    Question 44. As you know, SNAP skimming is a form of theft that 
occurs when an illegally installed device on a point-of-sale terminal 
steals information from a SNAP recipient's Electronic Benefit Transfer 
(EBT) card to make unauthorized purchases and drain the SNAP 
recipient's account without their knowledge. Unfortunately, EBT 
cardholders don't have the same Federal consumer protections as debit 
and credit card holders, including reimbursement for losses due to 
unauthorized electronic transactions.
    In December 2022, Congress passed the Consolidated Appropriations 
Act (CAA) of 2023 to address this issue by authorizing Federal funds to 
pay for the benefit reimbursements. From 2022 to 2024, all 53 states 
and Territories reported instances of skimming and over $320 million in 
stolen benefits had been replaced under the 2023 CAA authority.
    Unfortunately, last December, Democrats and Republicans negotiated 
a bipartisan deal to extend the law replacing stolen SNAP benefits for 
an additional 4 years, but at the eleventh hour, Speaker Johnson and 
Republicans in Congress reneged on that deal, blocking reimbursement of 
stolen SNAP benefits.
    The 2023 CAA instructed USDA to promulgate regulations to require 
states to comply with those updated security measures. The Biden 
Administration convened a working group with states, retailers, 
processors, and industry experts and coordinated with the Accredited 
Standards Committee X9 to write and inform this regulation. In fact, 
they had this regulation slated to be published by April or May of this 
year, but it has not yet been published by the new Administration.
    Secretary, we know you share in the desire to prevent the theft of 
SNAP dollars from low-income families--and even participated in a raid 
last month to target some of these bad actors. When does the 
Administration plan to publish this rule to require states to make 
security updates to prevent this type of theft? Will USDA mandate the 
transition to chip card and/or mobile technologies, both of which show 
promise in combating electronic theft?
    Answer. USDA Food and Nutrition Service (FNS) takes its 
responsibility of helping to prevent fraud--particularly SNAP 
Electronic Benefit Transfer (EBT) theft--seriously and has made 
significant and sustainable progress in partnership with states, third-
party EBT processors, and retailers to modernize EBT systems and reduce 
fraud. USDA anticipates the rule, ``Enhancing Electronic Benefit 
Transfer (EBT) Card Security Measures,'' will publish in the Federal 
Register next calendar year.
Trade
    Question 45. Politico reported that Trump officials delayed and 
redacted the USDA quarterly outlook for U.S. agricultural trade because 
the report predicts an increase in the nation's trade deficit in farm 
goods. The May 2025 report was dated May 29, but was not released until 
June 2. The written analysis accompanying the report still has not been 
published.
    These delays and redactions undermine trust in USDA research. 
Secretary Rollins, what was your involvement in this delay? Was this 
delay due to understaffing at USDA? Given the importance of timely, 
politically independent, and complete reports, what will you do to 
ensure that such delays do not occur in the future? Can you commit to 
preventing future interference with USDA research processes?
    Answer. While many of the data products released by USDA are 
required by statute, others--including the quarterly Outlook for U.S. 
Agricultural Trade report--do not have this same requirement. USDA 
determined releasing only the data is sufficient for stakeholder needs. 
We remain committed to providing timely, accurate, and useful data in 
service to U.S. agriculture.

    Question 46. The written analysis that typically accompanies the 
report is a valuable tool for analysts, farm groups, commodity traders, 
and policy makers. Can you explain why the written analysis was 
redacted? Even if this analysis is not required by statute, why would 
you block publication of critical USDA insights that help 
decisionmakers take informed actions to best support U.S. agriculture? 
When can we expect this written analysis?
    Answer. In an effort to simplify this report's information and 
maintain clear communication of the data, only the actual data was 
published. USDA will continue to evaluate the best way to provide clear 
and transparent information that best serves farmers.

    Question 47. We are already seeing China increase soy purchases 
from countries such as Brazil and Argentina, hurting U.S. soy exports. 
What will you do to help U.S. soy producers compensate for the market 
access they have lost because of the President's on-again off-again 
tariffs?
    Answer. Response: President Biden left American farmers and 
ranchers with a nearly $50 billion trade deficit. President Trump's 
leadership to seek fair and reciprocal treatment for our great 
producers will bring more stable long-term market opportunities around 
the world for agricultural exports.
    We are aggressively pursuing market access opportunities across the 
globe. I am proud of the work our team is doing to support concrete 
wins for American farmers and ranchers. Just a few of these include:

   Maintaining fair dairy access in Costa Rica \5\ for American 
        dairy farmers.
---------------------------------------------------------------------------
    \5\ https://www.usda.gov/about-usda/news/press-releases/2025/05/28/
make-agriculture-great-again-trade-win-secretary-rollins-secures-
greater-market-access-costa-rica-us. Editor's note: the press release 
is incorporated as an attachment to Ms. Craig's Question 20 response.

---------------------------------------------------------------------------
   Protecting pork market access in Panama.

   Removing non-tariff barriers for almonds in Japan.

   Resolving barriers to poultry market access in Angola, the 
        9th largest market globally for U.S. poultry.

    Question 47a. Secretary Rollins, you have been very vocal in your 
support of the President's tariff policies. Could you tell me, 
specifically, what role you have played in these trade deliberations? 
If you did not play a direct role, who was responsible for these 
policies which are having such a profound impact on our nation's 
farmers?
    Answer. I have consistently been the number one advocate for 
American farmers and ranchers in pushing for fair trading relationships 
around the world. I regularly speak directly to my counterparts in 
other governments about the unfair treatment our producers are facing, 
as well as working closely with my colleagues across President Trump's 
cabinet to ensure that farmers have a vocal seat at the table in all of 
our international negotiations.

    Question 48. You recently returned from a trip to Rome where you 
were focused on improving market access to Italy and the EU According 
to USDA's Foreign Agricultural Service Data, Italy imported $1.8 
billion in U.S. agricultural goods in 2024. Even if you are successful 
in increasing demand for U.S. agriculture in Italy and similar markets, 
how will these efforts even begin to address the harm our farmers are 
already feeling from lost market access and damaged trading 
relationships with countries such as China (who imported $27.3 billion 
in U.S. agriculture in 2024), Canada (who imported $32.4 billion in 
2024), and Mexico (who imported $31.3 billion in 2024)?
    Question 48a. What have been the concrete outcomes of your ongoing 
campaign to promote U.S. agriculture abroad?

    Question 48b. How much did your trip cost?
    Answer 48-48b. We are aggressively pursuing market access 
opportunities in every country around the world. There is no single 
country that we can rely on as the only destination for our 
agricultural exports. Our Trade and Foreign Agricultural Affairs team 
is working daily in markets around the world to reduce trade barriers 
and improve access for American farmers, ranchers, and foresters. I am 
proud of the work our team is doing to support concrete wins for 
American farmers and ranchers. Just a few of these include:

   Maintaining fair dairy access in Costa Rica \6\ for American 
        dairy farmers.
---------------------------------------------------------------------------
    \6\ https://www.usda.gov/about-usda/news/press-releases/2025/05/28/
make-agriculture-great-again-trade-win-secretary-rollins-secures-
greater-market-access-costa-rica-us. Editor's note: the press release 
is incorporated as an attachment to Ms. Craig's Question 20 response.

---------------------------------------------------------------------------
   Protecting pork market access in Panama.

   Removing non-tariff barriers for almonds in Japan.

   Resolving barriers to poultry market access in Angola, the 
        9th largest market globally for U.S. poultry.


    Question 49. You recently returned from a trip to the UK What 
agreements were signed there?

    Question 49a. How much did your trip cost?
    Answer 49-49a. While in the UK, I secured major wins for American 
exporters of energy resources, including fair market access for wood 
pellets to be utilized to support energy production in the UK, as well 
as additional opportunities to import ethanol produced in the U.S. I 
also highlighted additional opportunities for U.S. un-milled rice 
exports to the UK and advocated for the U.S. seafood industry and U.S. 
dairy products, which are unfairly targeted by risk classifications or 
are only accepted due to minor technicalities that can be addressed 
through partnerships between the U.S. and UK Governments. Throughout my 
visit, I fought to improve the public misperception about the safety, 
quality, and consistency of America's agricultural products. Through 
conversations with American farmers who export to the UK, I confirmed 
they are interested in exporting more products, and UK importers and 
retailers are interested in selling and promoting more American 
agricultural goods.

    Question 50. You have traveled internationally extensively during 
your first few months. How much have taxpayers paid for those trips?
    Answer. International travel is very common across Administrations 
for senior leadership within USDA. To date, I have traveled to the 
United Kingdom and Italy on official business with reciprocal visits 
here in the United States. USDA will continue to be a good steward of 
taxpayer dollars when performing such travel.
Food Safety
    Question 51. One of the only actions you've taken on food safety 
was to cancel The National Advisory Committee on Microbiological 
Criteria for Foods (NACMCF) and the National Advisory Committee on Meat 
and Poultry Inspection (NACMPI). These committees were established in 
1988 and 1971 respectively, are made up of volunteers, and were 
extremely low cost at under $500,000.
    One of the NACMCF projects that was pending before the panel was 
terminated was seeking advice from the expert panel on how to 
strategically use Whole Genome Sequencing (WGS), in addition to any 
other current or emerging technologies and strategies, to help FSIS 
rank and focus resources on foodborne microbial pathogen subtypes based 
on public health risk. How does USDA intend to access this important 
insight?
    Answer. I fully support the President's directive to improve 
government, eliminate inefficiencies, and strengthen USDA's many 
services to the American people. USDA's Food Safety and Inspection 
Service (FSIS) continues to deliver its mission to keep the supply of 
meat, poultry and egg products safe, wholesome and properly labeled for 
consumers. FSIS has extensive food safety expertise and utilizes its 
technical background to guide advancements in the food safety space in 
the U.S. and abroad. FSIS scientists regularly collaborate with Federal 
public health partners and researchers across USDA to evaluate new 
technologies and explore new applications of existing technology, 
including how to use WGS data to target the microbial pathogens of 
greatest public health concern. We will continue to rely on the vast 
experiences and resources within the Department and Federal Government, 
to generate science and data that informs our work and upholds our 
commitment to protecting consumers from foodborne illness. 
Additionally, FSIS senior leadership will continue to meet regularly 
with consumer and industry groups to hear concerns and receive 
feedback.

    Question 51a. Another pending NACMCF project sought to acquire a 
better understanding of the factors that contribute to Cronobacter 
contamination of powdered infant formula and the production environment 
to increase the effectiveness of prevention and management strategies. 
This is critical information that could be useful in preventing 
outbreaks involving infant formula products. How will this be accessed?
    Answer. USDA's Food Safety and Inspection Service (FSIS) does not 
regulate infant formula.

    Question 51b. For the 2025-2027 committee term, NACMCF was to work 
on charges related to Listeria in ready-to-eat (RTE) meat and poultry 
products from FSIS, in response to the deadly Boar's Head outbreak last 
year. This would have been important research to have in helping to 
prevent future outbreaks in RTE products. How does USDA intend to 
obtain this scientific expertise?
    Answer. Protecting consumers from foodborne illness is a top food 
safety priority for USDA. On July 15, I announced a new, comprehensive 
plan to bolster USDA's efforts to combat foodborne illness. Under 
President Trump's leadership, Food Safety and Inspection Service (FSIS) 
is enhancing Listeria sampling, prioritizing thorough food safety 
assessments in ready-to-eat establishments, collecting more and better 
in-plant data on Listeria risk factors and taking immediate enforcement 
actions to address recurring noncompliance and ensure safe food 
production. FSIS experts will also be analyzing the new data collected 
as part of this effort to identify further enhancements to sampling and 
inspection.
Miscellaneous Topics
    Question 52. Secretary Rollins, we are hearing from producers 
throughout the country about the uncertain Federal funding and policy 
environment. With regard to conservation, states and conservation 
districts are facing this as well, and are worried that they will be 
expected to step in when NRCS does not. Can you speak to the importance 
of program consistency and reliability when it comes to conservation 
planning and implementation specifically, and how you're working to 
ensure farmers can rely on USDA?
    Answer. USDA will continue to uphold President Trump's commitment 
to America's farmers and ranchers while making sure the critical 
programs our customers rely on remain available.

    Question 53. Secretary Rollins, your proposal to zero out 
conservation technical will massively hinder the ability of farmers to 
enroll in USDA conservation programs. No farmer wants this program cut. 
And at a bipartisan, conservation-related hearing last week, every 
witness before the Committee confirmed this by sharing how essential 
Conservation Technical Assistance is to producers. The President's 
initial budget release claimed that many farmers have been forced to 
participate in the program, an outright lie, as these programs have 
always been voluntary. Why did you recommend cutting this support for 
farmers?
    Answer. The President's Budget eliminates discretionary funding for 
conservation technical assistance because it has historically received 
over $1 billion in mandatory funding, in addition to funding at the 
state and local levels. While funding has helped producers deploy 
conservation practices on their lands, many have been forced to 
participate in the program in order to comply with state environmental 
regulations such as California's Irrigated Lands Regulatory Program, 
which regulates agricultural runoff. These cost drivers should be 
connected to the resource demands they impose.

    Question 54. Secretary Rollins, the President's budget proposed 
eliminating funding for the Forest Service's Collaborative Forest 
Landscape Restoration program (CFLRP), one of the Agency's most popular 
and effective programs. There is bipartisan support for this program in 
Congress and vulnerable communities depend on the forest management 
activities it funds. It's clear that a cut to this program will 
actively hinder our ability to reduce the risk of catastrophic wildfire 
and support economic revitalization in rural communities. Can you 
please explain why you proposed zeroing out CFLRP?
    Answer. As an Agency, we are looking to maximize the return of 
every dollar entrusted to us. We will continue to leverage 
collaboratives to achieve priority forest landscape outcomes.

    Question 55. Secretary Rollins, according to the Forest Service 
itself, ``in its first 10 years, the Collaborative Forest Landscape 
Restoration program created nearly $2 billion in local labor income and 
supported an average of 5,440 jobs annually.'' The program also treated 
an area larger than New Jersey, and between FY 2013 and FY 2019, 
accomplished 19 percent of the Forest Services total hazardous fuels 
treatments and 15 percent of the timber volume sold. A proposal to cut 
this program runs counter to your own proposed goals for forest 
management. Why was this program cut?
    Answer. As an Agency, we are looking to maximize the return of 
every dollar entrusted to us. We will continue to leverage 
collaboratives to achieve priority forest landscape outcomes.

    Question 56. Secretary Rollins, your budget proposal includes 
slashing support for state, Tribal, and private forestry programs. 
These programs provide technical and financial assistance to landowners 
and resource managers to help sustain the nation's forests and 
grasslands, protect communities from wildland fire, and restore forest 
ecosystems. I don't think there's a forestry group or stakeholder out 
there that would support wholesale elimination of an entire branch of 
the Forest Service, so why should Congress?
    Answer. The FY 2026 request eliminates funding for the State, 
Private, and Tribal Forestry account to ensure fiscal responsibility 
with American taxpayer dollars and to better balance the appropriate 
roles of Federal and state governments. The budget request anchors to a 
return to federalism, which is a priority for the Trump Administration. 
It encourages increasing state and local governments' authority to fund 
the management of state and privately-owned forests, community 
preparedness, and public risk mitigation activities in alignment with 
local priorities. Our partnerships with states and local governments 
are a key aspect of managing the nation's forests. We will continue our 
steadfast partnerships with states and local communities to ensure 
America's forests are healthy and resilient. Changing the funding model 
to have our non-Federal partners contribute more significantly ensures 
that all of us have a financial stake in managing our forests.

    Question 57. Secretary Rollins, your budget strips all funding from 
Rural Development Business and Industry loans, and Rural Business 
Development grants. The only reason given is that these programs are 
duplicative of programs elsewhere in government, but I am here to tell 
you that there aren't other programs doing this work or providing this 
capital. Only about 15 percent of businesses are in rural areas and 
cuts to these rural development programs will hurt these rural 
businesses. USDA which is the only agency with a proven track record of 
in rural America, why does this USDA think that other agencies are 
better suited to serve rural America?
    Answer. The Trump Administration continues our commitment to rural 
America, and we are doing so by reforming the Federal bureaucracy. 
Reducing government spending, by ending duplicative programs, and 
enhancing accountability, we are ensuring that taxpayer dollars are 
being used responsibly.

    Question 58. Secretary Rollins, USDA's budget zeros out the 
ReConnect rural broadband program. Can you please explain why this 
Administration doesn't think rural America deserves the same access to 
the internet as their more urban counterparts?
    Answer. The Trump Administration absolutely believes that rural 
Americans deserve reliable, affordable, and fast broadband internet. 
USDA continues to work with our partners at FCC and the Department of 
Commerce in deploying the Broadband Equity, Access, and Deployment 
(BEAD) Program. The BEAD program provides $42.5 billion for broadband 
deployment.

    Question 59. Bolstering America's domestic energy supply chain has 
always been a joint effort across several Federal agencies. Our 
nation's farmers rely on the supply chains the renewable energy sector 
provides. How is USDA working with other agencies to strengthen our 
domestic energy supply by boosting agriculture-related products like 
biofuels, synthetic aviation fuel or solar?
    Answer. I am in consistent communication with Administrator Zeldin 
and the White House about the importance of biofuels to the farm and 
rural economy. I am supportive of Administrator Zeldin's proposed 
Renewable Fuel Standard with the highest ever volume requirements for 
American grown biofuels. America's national security depends on our 
energy security, and biofuels are a crucial asset that bring more jobs 
and help farmers in rural America. I will continue advocating for 
biofuels and for policies that support a strong commodity market.

    Question 59a. When did you last speak with Secretary Wright about 
these issues?
    Answer. Secretary Wright and I meet regularly to develop plans for 
energy generation and transmission. I'm proud to partner with Secretary 
Wright so we can continue to serve the President's vision of unleashing 
American energy.

    Question 60. In your testimony, you state that you ``addressed the 
avian flu.'' So is it done? Have we no more transmission? No more 
poultry dying? No more dairy cows being impacted?
    Answer. My five-pronged strategy to improve biosecurity on poultry 
farms and lower egg prices is working. I will continue to implement 
this strategy and explore all options to help all producers protect 
their animals from avian influenza.

    Question 61. Given the MAHA reports call for reducing ultra 
processed foods in schools, will the MAHA recommendations, due out in 
August, include support for programs like the Local Food for Schools 
initiative that not only helped create a pipeline for delicious healthy 
food items but also supported local farmers?
    Answer. The work of the MAHA Commission is ongoing, and we look 
forward to sharing those recommendations soon. USDA continues to have 
16 robust nutrition programs in place.

    Question 62. How will USDA work with school nutrition operators to 
better understand operational challenges and provide policy 
recommendations that would support the MAHA report goals? We understand 
that the SNA has invited you and Secretary Kennedy to meet with their 
members. Is that something you will commit to before the August report 
is released?
    Answer. As I mentioned at my confirmation hearing, children are 
suffering from diet-related chronic disease at unheard of rates. School 
lunch is an important part of that conversation, because we should all 
want it to be the best meal eaten, not just the best meal served. 
States and nutrition program operators have a significant role in 
administering the FNS Child Nutrition Programs these programs. There 
are various opportunities to tailor child nutrition program 
implementation to local needs and circumstances. I look forward to 
hearing innovative ideas from those at the state level and those who 
directly serve our children in cafeterias across the country.

    Question 63. What is USDA doing to communicate the opportunity to 
drive growth in our rural economies at this critical time and ensure 
that the Administration, including the Office of Management and Budget, 
understands the direct impact that a strong Renewable Volume 
Obligations can have on American farmers and U.S. agriculture markets?
    Answer. USDA acknowledges the vital role that Rural Development 
programs play in supporting rural communities and farmers. The 
Administration's budget proposal reflects a commitment to fiscal 
responsibility and streamlining programs to maximize impact. We are 
always open to constructive dialogue with Congress and this Committee 
to ensure rural America has the resources it needs to thrive. We are 
committed to evaluating all avenues to support rural economic 
development and job creation, consistent with the President's vision 
for a strong American economy.

    Question 64. It is imperative that EPA take a careful and judicious 
approach to Small Refinery Exemption (SRE) petitions and ensure that 
biofuel blending volumes are not negatively impacted by any action on 
pending SRE petitions. If mishandled, SREs could short-circuit the RVO, 
destabilize farm economies, and wipe out the benefits of a strong rule. 
We all saw a preview of the relationship between blending volumes and 
agriculture markets in the last few weeks when soybean prices fell by 
28 and bean oil trading was halted all due to a rumor about EPA's 
planned blending volumes and when EPA was forced to publicly dispel a 
rumor that it would be approving all 169 pending small refinery 
exemptions after RIN prices dropped precipitously. What is USDA doing 
to ensure that the Administration understands how abuse of SRE 
authority hurts American farmers?
    Answer. I remain in consistent communication with Administrator 
Zeldin and the White House about the importance of biofuels to the farm 
and rural economy. I am supportive of Administrator Zeldin's proposed 
Renewable Fuel Standard with the highest ever volume requirements for 
American grown biofuels. America's national security depends on our 
energy security, and biofuels are a crucial asset that bring more jobs 
and help farmers in rural America. I will continue advocating for 
biofuels and for policies that support a strong commodity market.

Questions Submitted by Hon. Austin Scott, a Representative in Congress 
        from Georgia
Specialty Crops
    Question 1. USDA's Marketing Assistance for Specialty Crops (MASC) 
program provided much-needed aid to specialty crop producers across the 
country, particularly to the diverse group of growers across my 
district in Georgia. However, as you are aware, specialty crop growers 
are still facing a number of challenges such as labor costs and 
increased costs of production. What is your planned timeline for 
distribution of the remaining 15% payment rate allocated in the MASC 
program, and do you plan to provide additional assistance to the 
specialty crop sector, whether via the MASC program or another 
initiative?
    Answer. USDA has issued the second round of MASC payments.

    Question 2. Unfair trade practices continue to impact the U.S. 
agriculture industry. In recent years, U.S. fruit and vegetable growers 
have faced increased competition from foreign-subsidized and less 
regulated imports being dumped into our markets. This dramatically 
impacts Southeast producers and threatens the success and future of 
seasonal and perishable produce. How can the Administration help level 
the playing field for American many specialty crop farmers who are 
currently forced to compete with lower costs of production in other 
countries, primarily Mexico?
    Answer. Unfair foreign trade practices undermine the 
competitiveness of American farmers and ranchers, creating an uneven 
playing field, in foreign markets and here at home. I am fighting to 
ensure that we address unfair practices, and I am proud to support 
President Trump's reciprocal tariff negotiations, so that our producers 
can compete on a level playing field.
Disaster Relief Implementation and Oversight
    Question 3. Madam Secretary, Congress appropriated substantial 
disaster relief funding to respond to natural disasters in 2023 and 
2024. Can you provide an update on how those funds will be distributed, 
what states or regions have received support, and what the current 
outstanding needs are?
    Answer. USDA has announced the projected timeline for development 
and delivery of each of the components that comprise the full suite of 
Supplemental Disaster Assistance for agricultural producers online at 
https://www.fsa.usda.gov/resources/programs/20232024-supplemental-
disaster-assistance.
                               attachment

[GRAPHIC(S) NOT AVAILABLE IN TIFF FORMAT]

[https://www.fsa.usda.gov/resources/programs/20232024-supplemental-
disaster-assistance]
2023/2024 Supplemental Disaster Assistance
What It Is
    The American Relief Act of 2025,\1\ Pub. L. No. 118-158 (the Act), 
signed into law on Dec. 21, 2024, provided the U.S. Department of 
Agriculture with more than $30 billion to deliver disaster recovery 
assistance to farmers and livestock producers. Below is a projected 
timeline for development and delivery of each of the components that 
comprise the full suite of Supplemental Disaster Assistance for 
agricultural producers.
---------------------------------------------------------------------------
    \1\ https://www.congress.gov/bill/118th-congress/house-bill/10545.
---------------------------------------------------------------------------
Projected Timeline
Timeline Summary \2\
---------------------------------------------------------------------------
    \2\ [See table below.]
---------------------------------------------------------------------------
Emergency Commodity Assistance Program (ECAP)
    The Emergency Commodity Assistance Program (ECAP) \3\ provides 
economic loss assistance for covered commodities based on 2024 planted 
and prevented planted acres.
---------------------------------------------------------------------------
    \3\ https://www.fsa.usda.gov/resources/programs/emergency-
commodity-assistance-program.
---------------------------------------------------------------------------
Important Dates
   March 19, 2025: Sign-up began

   August 15, 2025: Sign-up ends

    Nearly $8B in payments have been paid out to date. View more 
payment information on the ECAP Dashboard.\4\
---------------------------------------------------------------------------
    \4\ https://www.fsa.usda.gov/resources/programs/emergency-
commodity-assistance-program/dashboard.
---------------------------------------------------------------------------
Emergency Livestock Relief Program (ELRP) for Drought and Wildfire
    The Emergency Livestock Relief Program (ELRP) \5\ for Drought and 
Wildfire will provide assistance for losses due to drought and 
wildfires in 2023 and 2024.
---------------------------------------------------------------------------
    \5\ https://www.fsa.usda.gov/resources/programs/emergency-
livestock-relief-program-elrp.
---------------------------------------------------------------------------
Important Dates
   May 29, 2025:DA announced ELRP payments to begin livestock 
        producers impacted by drought and wildfires in 2023 and 2024. 
        ELRP Rule\6\ published on the Federal Register.
---------------------------------------------------------------------------
    \6\ https://www.federalregister.gov/documents/2025/05/29/2025-
09581/emergency-livestock-relief-program-elrp-2023-and-2024.

     Farm Service Agency ELRP webpage.\7\
---------------------------------------------------------------------------
    \7\ https://www.fsa.usda.gov/resources/programs/emergency-
livestock-relief-program-elrp.

   May 30, 2025: The target date for FSA county offices to sign 
        and certify.
Emergency Livestock Relief Program (ELRP) for Flooding and Wildfire on 
        Non-Federal Lands
    The Emergency Livestock Relief Program (ELRP) for Flooding will 
provide assistance for losses due to flooding wildfire on non-Federal 
[lands.] USDA has never stood up an assistance program for livestock 
due to flooding, this requires more time due to needed software 
changes.
Important Dates
   Week of September 8, 2025: The target for program 
        announcement
Supplemental Disaster Relief Program (SDRP)
    The Supplemental Disaster Relief Program\8\ will provide assistance 
to producers for necessary expenses due to losses of revenue, quality 
or production of crops due to weather related events in 2023 and 2024.
---------------------------------------------------------------------------
    \8\ https://www.fsa.usda.gov/sdrp.
---------------------------------------------------------------------------
Important Dates
    For producers with indemnified losses:

   July 10, 2025: Sign-up began

    For uncovered losses (shallow losses) including producers without 
crop insurance, and quality losses we need more time to collect the 
data:

   October 2025: The target for sign-up to begin
General Block Grant Authority
    USDA is using general block grant authority to pay on losses due to 
adverse weather events for 2023 and 2024. General block grants will not 
duplicate assistance for which USDA covers a similar loss.

   USDA has received general block grant requests from:

     Florida--announced July 21, 2025 \9\
---------------------------------------------------------------------------
    \9\ https://www.fsa.usda.gov/news-events/news/07-21-2025/secretary-
rollins-announces-6759-million-disaster-assistance-farmers.

---------------------------------------------------------------------------
     Georgia

     North Carolina--announced September 5, 2025 \10\
---------------------------------------------------------------------------
    \10\ https://www.fsa.usda.gov/news-events/news/09-05-2025/usda-
announces-2212-million-grant-agreement-cover-agricultural-losses.

---------------------------------------------------------------------------
     South Carolina

     Tennessee

     Virginia--announced July 28, 2025 \11\
---------------------------------------------------------------------------
    \11\ https://www.fsa.usda.gov/news-events/news/07-28-2025/
secretary-rollins-announces-609-million-disaster-assistance-farmers.
---------------------------------------------------------------------------
Timing
    We are currently engaging with the above states to negotiate their 
final agreement. These are agreements between the states and USDA.
New England and Pacific Block Grant
    Provides compensation for necessary expenses related to crop, 
timber and livestock losses, including on-farm infrastructure as a 
consequence of any adverse weather event in 2023 and 2024. Small block 
grants will not duplicate assistance for which USDA covers a similar 
loss.

   New England and Pacific block grants were specifically 
        earmarked by Congress to cover:

     Alaska

     Connecticut

     Hawaii

     Maine

     Massachusetts

     New Hampshire

     Rhode Island

     Vermont
Timing
    FSA is actively engaged with all eight states eligible working to 
refine these agreements. These are agreements between the states and 
USDA.

                             Important Dates
                            Timeline Summary
------------------------------------------------------------------------
         Date                   Program                 Milestone
------------------------------------------------------------------------
March 19, 2025         Emergency Commodity       Sign-up began
                        Assistance Program
                        (ECAP)
May 29, 2025           Emergency Livestock       USDA starts ELRP
                        Relief Program (ELRP)     payments to livestock
                        for Drought and           producers impacted by
                        Wildfire                  drought and wildfire
                                                  in 2023 and 2024--
                                                  Complete
                                                 See USDA News
                                                  Release\12\
\12\ https://
 www.usda.gov/about-
 usda/news/press-
 releases/2025/05/29/
 usda-provide-1-
 billion-livestock-
 producers-impacted-
 drought-or-wildfire-
 2023-and-2024.
May 30, 2025           Emergency Livestock       Target date for FSA
                        Relief Program (ELRP)     county offices to sign
                        for Drought and           and certify
                        Wildfire
Week of July 7, 2025   Supplemental Disaster     Sign-up to begin
                        Relief Program (for
                        producers with
                        indemnified losses)
August 15, 2025        Emergency Commodity       Sign-up ends
                        Assistance Program
                        (ECAP)
Week of September 8,   Emergency Livestock       The target for program
 2025                   Relief Program (ELRP)     announcement
                        for Flooding and
                        Wildfire on Non-Federal
                        Lands
October 2025           Supplemental Disaster     Target for sign-up to
                        Relief Program (for       begin
                        producers with
                        uncovered/shallow
                        losses)
------------------------------------------------------------------------

Additional Resources
          Emergency Commodity Assistance Program (ECAP) Fact Sheet \13\
---------------------------------------------------------------------------
    \13\ https://www.fsa.usda.gov/tools/informational/fact-sheets/
emergency-commodity-assistance-program-ecap.
---------------------------------------------------------------------------
          Emergency Commodity Assistance Program (ECAP) Dashboard \14\
---------------------------------------------------------------------------
    \14\ https://www.fsa.usda.gov/resources/programs/emergency-
commodity-assistance-program/dashboard.
---------------------------------------------------------------------------
          Texas Water Treaty (Block Grant) Announced \15\
---------------------------------------------------------------------------
    \15\ https://www.usda.gov/about-usda/news/press-releases/2025/03/
19/usda-announces-280-million-grant-agreement-support-rio-grande-
valley-agricultural-producers-amid.

    Question 4. What metrics or data is USDA using to assess whether 
disaster funds have reached impacted producers, particularly in under-
served rural or forested areas?
    Answer. USDA is committed to leveraging data currently on file to 
deploy critical disaster relief in a manner that aligns with 
Congressional intent while accurately and consistently calculating 
assistance for losses suffered by all eligible participants.

    Question 5. Are there any remaining delays or bureaucratic barriers 
preventing full deployment of disaster block grant funds to impacted 
states, and if so, how is USDA working to address those challenges?
    Answer. There are no remaining delays or bureaucratic barriers 
preventing deployment of block grant funds. USDA's team is in 
consistent communication with each block grant state, holding at a 
minimum, weekly meetings to ensure each state's specific questions and 
needs are addressed.
Emergency Forest Restoration Program (EFRP)
    Question 6. The Emergency Forest Restoration Program (EFRP) is one 
of the few cost-share programs available to private forest landowners 
after natural disasters. However, landowners frequently report that 
reimbursement delays and eligibility limitations make recovery nearly 
impossible. What improvements is USDA considering to streamline EFRP or 
make it more responsive?
    Answer. The Farm Service Agency has begun providing more frequent 
and geographically tailored training to staff and stakeholders for the 
Emergency Forest Restoration Program (EFRP). Additionally, staff 
closely monitor funding expenditures to quickly identify bottlenecks 
and apply the necessary resources to address delays.

    Question 7. Last year's draft of the farm bill in both the House 
and Senate included proposals to reform and strengthen EFRP. If those 
provisions aren't enacted legislatively, does USDA have existing 
authority to make any of those improvements unilaterally through 
administrative changes?
    Answer. Changes such as covering livestock watering structures on 
grazed forestland which were damaged by a qualifying natural disaster 
and covering losses on private property incurred by fires started by 
the Federal Government have been implemented administratively.

    Question 8. Given the increasing scale of natural disasters--
wildfires, hurricanes, tornadoes--how is USDA evaluating the long-term 
sustainability and funding needs of EFRP to ensure it can support 
timely recovery for forest landowners?
    Answer. There are sufficient budgetary resources for EFRP. FSA 
works closely with Federal, state and local forestry partners to gather 
feedback on disaster trends to provide needed resources in a timely 
manner following disasters.
Forest Landowner Disaster Recovery
    Question 9. Private forest landowners manage over half of our 
nation's forests, yet they lack the recovery tools and safety nets that 
row crop and livestock producers have access to through USDA. Do you 
agree that this is a gap in our disaster and risk management portfolio?
    Answer. USDA stands ready to assist all producers without regard to 
their types of yields. Forestry products are an integral part of the 
U.S. economy and USDA fully recognizes the private forest landowners' 
role in their availability.

    Question 10. Will you commit to working with Congress and the Trump 
Administration to advance the Disaster Reforestation Act, which would 
allow forest landowners to deduct the value of timber destroyed by 
natural disasters?
    Answer. We will be glad to work with your office on this topic.

    Question 11. How is USDA incorporating the needs of forest 
landowners into broader disaster and risk mitigation planning, 
especially given their role in forest management, preserving 
watersheds, and providing wildlife habitat?
    Answer. NRCS conservationists work with private forest landowners 
and managers to plan and install forestry practices that can improve 
growth, reduce risk, and improve forest health while addressing other 
landowner goals, such as wildlife habitat or livestock grazing 
considerations.

    Question 12. Would you support parity in tax and disaster recovery 
treatment for forest owners comparable to other agricultural producers, 
recognizing the long timelines and investment risks associated with 
timber production?
    Answer. USDA will implement any changes Congress wishes to enact to 
better assist forest landowners.
International Trade and Regulatory Compliance: EUDR Concerns
    Question 13. The United States has a strong record of being the 
``green standard'' for sound forest management--we grow more trees than 
we harvest nationwide, and in regions like the southeastern U.S., we 
grow three trees for every one harvested. While we were glad--but not 
surprised--to see the United States classified as ``low risk'' under 
the European Union's Deforestation Regulation (EUDR), we are 
disappointed that this designation does not exempt U.S. producers from 
the costly and burdensome compliance requirements, including 
geolocation and due diligence tracking. Is USDA working with USTR and 
other agencies to push back on the implementation of this misguided 
regulation and protect our forest landowners from unfair burdens?
    Answer. USDA is working closely across the Administration to fight 
the unfair burdens of the EUDR. A ``low risk'' designation does not do 
enough to reduce the burdens that many industries will face under this 
arbitrary standard. I will continue fighting to ensure the European 
Union cannot put baseless regulations on American producers.

    Question 14. One of the biggest challenges with EUDR is the 
traceability requirement. In many cases--such as wood pellets, 
engineered wood products, or recycled materials--it is functionally 
impossible to trace a finished product back to a specific tract of 
family-owned land to prove that no deforestation occurred. Does USDA 
agree that this compliance framework is impractical and that U.S. 
producers should not be penalized for sustainable forest management 
practices?
    Answer. Yes, the EUDR compliance requirements are far too 
burdensome for American producers.

    Question 15. China, despite having well-documented issues with 
illegal logging and forest loss, was also classified as ``low risk'' by 
the EU. This raises serious concerns about how these risk 
determinations were made. Is USDA engaging with the EU or other global 
partners to challenge the legitimacy of these classifications and 
ensure a level playing field for U.S. forest products?
    Answer. Yes, USDA has been consistent that the ``low risk'' 
designation does not accurately account for U.S. forestry practices in 
relation to other countries. We are engaging regularly with the EU and 
other partners to find a reasonable and practical path forward.

    Question 16. Is the Trump Administration continuing to push back 
against the EUDR's unintended consequences, and are there efforts 
underway to coordinate with other nations who share our concerns to 
apply pressure on the EU to revise or delay these compliance mandates?
    Answer. USDA is actively seeking ways to ensure that U.S. producers 
do not have the unreasonable compliance burdens currently outlined by 
the EUDR. We are coordinating with other like-minded countries who 
share this concern.
Trump Administration Executive Orders on Timber and Domestic Supply 
        Chain
    Question 17. On March 1st, the Trump Administration issued two 
Executive Orders--one directing Federal agencies to boost domestic 
timber production and another to evaluate the volume and national 
security implications of timber imports. How is USDA responding to 
these directives, and what steps are being taken to support domestic 
timber supply?
    Answer. The Forest Service is developing a national strategy that 
outlines our agency's goals, objectives, and initial actions related to 
increase active forest management. Additionally, all Regional Foresters 
are developing 5 year strategies, tiered to the national strategy, to 
increase their timber volume offered, leading to an agency-wide 
increase of 25% over the next 4-5 years. Furthermore, District Rangers 
and Forest Supervisors will utilize direct timber sale opportunities 
with interested purchases operating on and around forests. Finally, all 
agency timber sales will use base rates or minimum rates, where 
appropriate, based on Emergency Authorizations outlined by the 
Secretary in Secretarial Memo 1078-006.

    Question 18. Private landowners manage the majority of our nation's 
forests. Is USDA working with these landowners to expand timber 
production on private lands as part of the broader effort to secure 
domestic supply?
    Answer. USDA partnerships with the states and local governments are 
a key aspect of managing the nation's forests including assistance to 
private landowners. The FY 2026 request eliminates funding for the 
State, Private, and Tribal Forestry account to ensure fiscal 
responsibility with American taxpayer dollars and to better balance the 
appropriate roles of Federal and state governments. The Budget request 
anchors to a return to federalism and encourages increasing state 
authority to fund the management of state and privately-owned forests. 
Changing the funding model to have our non-Federal partners contribute 
more significantly ensures that all of us have a financial stake in 
managing our forests.

    Question 19. Many rural communities are seeing sawmills and wood-
processing facilities close, which reduces market access and undermines 
domestic supply chain resilience. Is USDA examining how these mill 
closures impact landowners' ability to harvest and market their timber?
    Answer. USDA is proactively investing in projects that strengthen 
wood products manufacturing facilities, positioning them to overcome 
manufacturing challenges, and create and retain jobs. Three key grant 
programs of the Forest Service: Wood Innovations, Community Wood, and 
Wood Products Infrastructure Assistance have helped build markets, 
support efficient processing, and strengthen our critical wood products 
infrastructure. From 2021-2024, the Forest Service has provided nearly 
$190M to 482 projects across the country, matched or leveraged with 
$618 million from applicants. Of these projects, 288 projects ($140 
million), supported sawmills and other wood processing facilities.

    Question 20. Will the Administration continue to find ways to 
secure America's critical natural resources--like timber and wood 
products--for both domestic use and export markets, including strategic 
industries like biomass energy, cross-laminated timber, and sustainable 
aviation fuel?
    Answer. The Administration is committed to maintaining markets for 
timber and wood products. The agency's Wood Innovation Grants Program 
is one of the ways the agency supports markets for these products. The 
program, launched in 2015, stimulates, expands, and supports U.S. wood 
products markets and wood energy markets to support the long-term 
management of National Forest System and other forest lands. National 
focus areas include mass timber, renewable wood energy, and 
technological development that supports hazardous fuel reduction and 
sustainable forest management.
National Organic Program
    Question 21. A petition sent to USDA from Biodegradable Products 
Institute asks that AMS add a definition of ``compost feedstock'' to 
the Federal organic regulations, 7 CFR  205.2, and to make certain 
conforming and clarifying adjustments to the related regulations. Our 
nation's leading producers of compostable packaging are facing serious 
barriers in California that could be fixed by USDA acting on a 2023 
petition to deregulate how compost is managed in the National Organic 
Program. Will you commit to reviewing this petition and consider an 
interim final rule to give farmers and packaging companies the relief 
they deserve?
    Answer. USDA is assessing the petition, and it has been the subject 
of National Organic Standards Board meetings. That discussion and 
analysis is continuing.

Question Submitted by Hon. Scott DesJarlais, a Representative in 
        Congress from Tennessee
    Question. I understand a petition has been at USDA for 
approximately 2 years seeking to update the definition of compost in 
the National Organic Program in support of biomanufacturers. Have you 
had an opportunity to review this petition, if so, can you advise on 
when to expect a decision? If not, is there a timeline for review and 
potential approval?
    Answer. USDA is assessing the petition, and it has been the subject 
of National Organic Standards Board meetings. That discussion and the 
analysis is continuing.
Question Submitted by Hon. David Rouzer, a Representative in Congress 
        from North Carolina
    Question. Given our nation's current fiscal situation and the need 
to fully maximize the impact of the resources allocated across the 
Federal Government, including USDA, I agree with the need to pursue 
greater efficiencies as reflected in the Administration's budget. The 
Farm Service Agency (FSA) is one of the key agencies where staff 
resources can be better supported with technology efficiencies, which 
the budget highlighted as `improving online services so that farmers 
are receiving top-notch service to meet their needs'.
    A prime example of this efficiency is third-party providers who 
work with producers for activities such as crop planted acreage 
reporting to FSA. USDA can easily and quickly improve this experience 
for producers by embracing this process, as required in the 2014 and 
2018 Farm Bills.
    Will you provide details on how your office plans on working with 
FSA to ensure they are closely working with third parties to determine 
functionalities most helpful in leveraging existing technologies and 
data sets, and prioritize automation of activities which benefit both 
county office staff and producer convenience?
    Answer. I fully support President Trump's directive to eliminate 
wasteful spending and ensure taxpayer dollars are used effectively. By 
working with the Department of Government Efficiency, USDA can utilize 
private sector experience to obtain cost effective and overdue IT 
modernization.
Questions Submitted by Hon. Don Bacon, a Representative in Congress 
        from Nebraska
    Question 1. The FY 2025 NOFO for Food for Progress was posted and 
then taken down. This is a mandatory farm bill program authorized by 
Congress.
    When will the FY 2025 NOFO for Food for Progress be re-posted?
    Answer. The FY25 Notice of Funding closed on July 31, 2025. USDA is 
currently reviewing applications in order to make awards.

    Question 1a. Given the delays in posting the FY 2025 Food for 
Progress NOFO, is USDA anticipating an expedited award process? If yes, 
how might this differ from how previous years were awarded?
    Answer. USDA will work expediently to process applications and make 
awards in accordance with the statutory requirements.

    Question 1b. Why was the FY25 McGovern-Dole NOFO allowed to go 
forward?
    Answer. The FY25 Notice of Funding closed on June 23. USDA is 
currently reviewing applications in order to make awards.

    Question 2. USDA recently terminated 27 Food for Progress awards 
and 17 McGovern-Dole Food for Education awards. The termination letters 
state the programs were no longer serving the foreign assistance 
objectives of USDA.
    What are the foreign assistance objectives of USDA going forward 
which all the food aid programs must align with?
    Answer. USDA is prioritizing foreign assistance that makes America 
safer, stronger and more prosperous. Assistance that meets USDA's core 
objectives and ensures a return on investment for American farmers, 
ranchers, foresters and agriculture producers. These objectives are 
outlined in a June 30 Secretarial Memorandum: https://www.usda.gov/
sites/default/files/documents/sm-1078-012.pdf.
                               attachment
United States Department of Agriculture Office of the Secretary 
        Washington, D.C. 20250
Secretary's Memorandum 1078-012

June 30, 2025
Prioritizing Foreign Assistance From The United States Department Of 
        Agriculture, Which Makes The United States Of America Safer, 
        Stronger, And More Prosperous.
1. Purpose
    The purpose of this Memorandum is to establish a return to American 
principles and realign the Department's focus towards its original 
objectives of maximizing and promoting American agriculture, ensuring a 
safe, nutritious and secure food supply, enhancing rural prosperity, 
and protecting our National Forests and Grasslands. To achieve this 
purpose, this memorandum orders the rescission of all foreign 
assistance previously granted through the Department which does not 
actively make the United States of America safer, stronger, and more 
prosperous. It also calls on the Department to recognize the goodwill 
of American farmers, ranchers, foresters, and agricultural producers in 
all foreign assistance programs.
    The United States of America has long been the most generous and 
charitable country in the world. American prosperity has been shared 
for decades in the spirit of kindness to feed the hungry and 
economically develop a great many countries. However, for too long, 
this generosity has been taken advantage of by a foreign aid industry 
and bureaucracy that is not aligned with American interests. American 
agriculture feeds, fuels, and clothes the world.
    Therefore, this Department and all supporting agencies and mission 
areas will focus on foreign assistance that prioritizes (1) making 
America safer, stronger, and more effective; (2) meeting our core 
objectives at USDA; and (3) ensuring a return on investment for the 
American farmers, ranchers, foresters, and agricultural producers who 
seek to support vulnerable communities around the world with the bounty 
of American agriculture.
2. Policy
    To affect these priority areas, USDA will:

  1.  Review and terminate foreign assistance projects that do not 
            contribute to making America safer, stronger, and more 
            prosperous, specifically when it comes to American farmers, 
            ranchers, foresters, and agricultural producers. Any 
            projects focused exclusively on benefiting foreign 
            agricultural systems, with no tie to the American people or 
            developing market access for the American producer, will no 
            longer continue.

  2.  Realign Department foreign assistance priorities towards projects 
            that support the economic prosperity of American farmers, 
            ranchers, foresters, and agricultural producers. 
            Specifically, foreign assistance must support, develop, or 
            advance market opportunities for American agriculture and 
            forest products while seeking to support vulnerable 
            communities across the globe.

  3.  Bring American farmers and ranchers back to the decision-making 
            table for foreign assistance. For too long, the foreign aid 
            industry has operated in a vacuum, one that has not also 
            prioritized the goals of the American agricultural 
            community. USDA will solicit input from American farmers 
            and ranchers on how best to serve vulnerable communities.

  4.  Coordinate with all other relevant Federal agencies to ensure 
            aligned foreign assistance objectives in the interest of 
            the American people. The Federal Government should have 
            complimentary foreign assistance projects and objectives, 
            not duplicitous or competing priorities which do not 
            provide effective and efficient use of taxpayer dollars. 
            USDA will work closely within the Executive Branch to 
            further efficient foreign assistance programs that directly 
            further the safety, strength, and prosperity of the United 
            States of America. The Office of Budget and Programs 
            Analysis (OBPA) and Office of General Counsel (OGC) shall 
            assist USDA agencies and organizations properly to comply 
            with the provisions of this.
3. Incidental Transfers
    The Assistant Secretary for Administration, the Chief Financial 
Officer, and the Director, Office of Budget and Program Analysis, are 
authorized to approve such transfers of funds, personnel, employment 
authority, space, records, property, and incidentals as may be 
necessary to implement the provisions of this Memorandum.
4. Effective Date and Termination
    This memo is effective immediately.

Brooke L. Rollins,
Secretary,
U.S. Department of Agriculture.

    Question 2a. Will there be any additional terminations? Can USDA 
provide assurances that it will not terminate awards before programming 
can begin moving forward like what has occurred with the FY 2024 
terminated awards?
    Answer. USDA will continue to ensure that all projects align with 
the foreign assistance objectives of the Department.

    Question 2b. Is USDA considering a process to allow terminated 
awards to be reinstated? If yes, please provide more information about 
this process.
    Answer. There is no formal appeals process for terminated projects 
which do not align with the Department's foreign assistance objectives.

    Question 2c. What is USDA planning to do with the returned funds 
from the monetization sales?
    Answer. USDA will reallocate any recouped funds towards projects 
that are aligned with the foreign assistance objectives of the 
Department.

    Question 3. The recent ``Make America Healthy Again'' (MAHA) 
Commission Report--produced jointly by DHHS, USDA, and EPA--has raised 
serious concerns in farm country. The report cites numerous sources 
that do not exist and misrepresents others to justify its claims that 
pesticide products are responsible for America's chronic disease, 
despite a lack of evidence.
    Why was the ag community effectively shut out of the entire report-
drafting process?
    Answer. My commitment is to ensure that our agriculture community 
is represented in this process.

    Question 3a. The report concluded that more research is necessary. 
What immediate steps is USDA taking to strengthen and expand 
agriculture research efforts?
    Answer. USDA remains committed to supporting high-priority research 
that is responsive to the needs of American farmers and ranchers 
through both the Agricultural Research Service (ARS) and the National 
Institute of Food and Agriculture (NIFA).

    Question 3b. Now that the report is out, how will you work via the 
interagency process to correct the misinformation and anti-farmer 
findings in MAHA's first report?
    Answer. America's farmers and ranchers dedicate their lives to 
feeding their country and the world. They have created the safest, most 
abundant, and most affordable food supply in the world. We are working 
to make sure our kids and families consume the healthiest food we 
produce.

    Question 3c. What will USDA's involvement be in shaping the 
strategy that the Commission will issue in August?
    Answer. USDA remains committed to working with our agency 
colleagues while advocating for America's farmers and ranchers.

    Question 3d. What specific actions is the MAHA Commission taking to 
ensure that farmers have a seat at the table and that their input will 
be actively considered?
    Answer. The Trump Administration has a unique, once-in-a-generation 
opportunity to unify our vision across key programs and initiatives, 
fostering a healthier, more vibrant America with the work of the 
Commission. The U.S. Department of Agriculture recognizes the vital 
role of farmers to produce the safest most abundant food supply in the 
world. USDA remains steadfast in supporting continued access to safe, 
effective solutions that enable our farmers and ranchers to feed, fuel, 
and clothe the U.S. and the world.

    Question 4. The American Relief Act, passed in December 2024, 
provided approximately $21 billion in funds for agricultural producers 
that suffered losses due to natural disasters. Those funds were 
statutorily required to be released by March 21, 2025. Currently the 
aid schedule released by USDA states that sign up for the Supplemental 
Disaster Relief Program will not begin until July 7th for previously 
indemnified losses and September 15th for uncovered losses. In the 
meantime, producers awaiting relief, in some cases, require these 
payments to shore up credit agreements with lenders, putting them in an 
especially precarious position.
    What is the cause of this nearly 3 month delay?
    Answer. The Emergency Commodity Assistance Program (ECAP) was 
launched ahead of the 90 day deadline as mandated by Congress. This was 
the only portion of the supplemental disaster assistance that had a 90 
day deadline. USDA is also committed to the timely delivery of the 
other components of the American Relief Act to provide relief much 
faster than that of the previous Administration. A timeline for 
development and delivery of each of the components that comprise the 
full suite of Supplemental Disaster Assistance for agricultural 
producers cans be found here:https://www.fsa.usda.gov/resources/
programs/20232024-supplemental-disaster-assistance.\1\
---------------------------------------------------------------------------
    \1\ Editor's note: the website snapshot is incorporated as an 
attachment to Mr. Austin Scott's Question 3 response.

    Question 4a. What immediate steps have been taken or are planned to 
correct this issue?
    Answer. The Emergency Commodity Assistance Program (ECAP) was 
launched ahead of the 90 day deadline as mandated by Congress. This was 
the only portion of the supplemental disaster assistance that had a 90 
day deadline. USDA is also committed to the timely delivery of the 
other components of the American Relief Act to provide relief much 
faster than that of the previous Administration. A timeline for 
development and delivery of each of the components that comprise the 
full suite of Supplemental Disaster Assistance for agricultural 
producers cans be found here: https://www.fsa.usda.gov/resources/
programs/20232024-supplemental-disaster-assistance.\2\
---------------------------------------------------------------------------
    \2\ Editor's note: the website snapshot is incorporated as an 
attachment to Mr. Austin Scott's Question 3 response.

    Question 5. With regard to the termination of the 2019 tomato 
suspension agreement, Mexico has threatened it will retaliate against 
American agricultural products.
    Have you had any discussions with USTR or Commerce on the status of 
the negotiations, and how can you ensure that the rest of U.S. 
agriculture does not get caught in the crossfire?
    Answer. The U.S. Department of Commerce announced the termination 
of the 2019 tomato suspension agreement on July 14, 2025. I will 
continue to be an advocate for American producers to have a level 
playing field domestically and around the world. The U.S. Government 
will closely monitor for any retaliatory action by Mexico and respond 
accordingly.

    Question 6. In your testimony before the House Agriculture 
Committee on June 11, 2025, you stated that there have been no cuts in 
funding and no employees have been terminated at the U.S. Meat Animal 
Research Service. Numerous producer organizations who rely on the 
research which comes out of these institutions say that while this is 
technically correct, it is not the whole story.
    Between January 20, 2025, and June 15, 2025, what is the average 
timeline between when a research procurement contract action has been 
received by USDA from the University of Nebraska's Agroecosystem 
Management Research Unit, the Wheat, Sorghum and Forage Research Unit, 
and the U.S. Meat Animal Research Center, and when the facility 
received final approval to execute the requested research procurement 
contract?
    Answer. The average timeline from receipt to approval and execution 
of a contract at these locations during the requested period was 32 
calendar days.

    Question 6a. What is USDA's standard evaluation process on research 
procurement contracts when making approval/denial decisions?
    Answer. An agency seeking approval for a research procurement 
contract must submit the request to their Mission Area's Chief 
Operating Officer. Upon Mission Area approval, the request is forwarded 
to the Office of Contracting and Procurement for their review and 
approval. Once approved, the action may then be solicited.

    Question 6b. What immediate steps can USDA take to improve research 
procurement contract decision turnaround time?
    Answer. ARS has implemented an efficient review process, enabling 
their Mission Area's Chief Operating Officer to approve requests within 
1 to 2 business days. ARS works closely with the Department's Office of 
Contracting and Procurement to ensure that urgent and high-priority 
needs are expedited, with some approvals occurring the same day the 
need is identified.

    Question 6c. How many unfilled USDA employee vacancies were there 
on January 20, 2025 at the University of Nebraska's Agroecosystem 
Management Research Unit, the Wheat, Sorghum and Forage Research Unit, 
and the U.S. Meat Animal Research Center, respectfully?
    Answer. Listed below are vacancies on January 20, 2025 (not 
including seasonal fieldwork positions):

   12 vacancies at the Agroecosystem Management Research Unit

   2 vacancies at the Wheat, Sorghum and Forage Research Unit

   25 vacancies at the U.S. Meat Animal Research Center

    Question 6d. How many USDA employee vacancies were there on June 
15, 2025 at the University of Nebraska's Agroecosystem Management 
Research Unit, the Wheat, Sorghum and Forage Research Unit, and the 
U.S. Meat Animal Research Center, respectfully?
    Answer. Listed below are vacancies on June 15, 2025 (not including 
seasonal fieldwork positions):

   13 vacancies at the Agroecosystem Management Research Unit

   3 vacancies at the Wheat, Sorghum and Forage Research Unit

   27 vacancies at the U.S. Meat Animal Research Center

    Question 6e. What steps will USDA take to fill unfilled positions 
at these facilities?
    Answer. USDA is committed to following all Presidential Memoranda 
governing the hiring of Federal civilian employees within the Executive 
Branch which states that ``no Federal civilian position that is 
presently vacant may be filled, and no new position may be created'' 
unless specifically outlined in the memoranda or mandated by applicable 
law. Any recruitment actions undertaken for any vacancies will meet 
these specifications. Once approval to commence hiring is received, ARS 
will implement the procedures detailed in the Merit Hiring Plan issued 
by the Office of Personnel Management on May 29, 2025.

    Question 6f. How many USDA employees at the University of 
Nebraska's Agroecosystem Management Research Unit, the Wheat, Sorghum 
and Forage Research Unit, and the U.S. Meat Animal Research Center, had 
their employment terminated and reinstated between January 20, 2025, 
and June 15, 2025, respectfully?
    Answer. There were five probationary employees at the Agroecosystem 
Management Research Unit, two probationary employees at the Wheat, 
Sorghum & Forage Research Unit, and eleven probationary employees at 
the U.S. Meat Animal Research Center. All eighteen employees were 
offered reinstatement.

    Question 6g. Of the USDA employees of the University of Nebraska's 
Agroecosystem Management Research Unit, the Wheat, Sorghum and Forage 
Research Unit, and the U.S. Meat Animal Research Center, who had their 
employment terminated and reinstated between January 20, 2025, and June 
15, 2025, how many have resigned or retired, respectfully?
    Answer. Between January 20, 2025, and June 15, 2025, three 
employees at the Agroecosystem Management Research Unit, two employees 
at the Wheat, Sorghum & Forage Research Unit, and five employees at the 
U.S. Meat Animal Research Center voluntarily left their position.
Questions Submitted by Hon. Tracey Mann, a Representative in Congress 
        from Kansas
    Question 1. Thank you for your work to secure our border with 
Mexico in regards to the New World Screwworm and the recent 
announcement of a $21 million investment to produce additional sterile 
flies to push this devastating parasite farther south from our nation's 
borders. Can you provide us a timeline on when that facility in Metapa, 
Mexico will be fully operational? If New World Screwworm makes its way 
into the United States, what would be in your view the best response to 
eradicate this parasite?
    Answer. Mexico is planning for the Metapa facility to be 
operational within an aggressive 12-18 month timeframe. Once completed, 
the facility will serve as a sterile insect production site capable of 
generating an additional 60-100 million sterile insects per week, 
significantly boosting the regional supply and enhancing overall 
capacity for sustained sterile fly release. Sterile insect technique 
(SIT) remains a powerful component of the eradication strategy but 
alone cannot effectively eradicate New World Screwworm. If NWS makes 
its way into the United States, eradication will require robust field 
surveillance, education and outreach to ensure prompt identification 
and treatment, and strict animal movement controls, in addition to SIT. 
USDA broke ground on a domestic sterile fly dispersal facility in Texas 
and have begun developing plans for a potential domestic production 
facility to increase readiness and provide the United States with 
contingency capability. Furthermore, USDA is working rapidly to explore 
new technologies and science for the production of sterile insects and 
for NWS treatments.

    Question 2. Biofuels markets provide critical domestic demand for 
growers, but they have been impacted by surging levels of imported 
products from China and Brazil that have diluted the American farmer's 
position. To address this, I introduced the Farmer First Fuel 
Incentives Act which would restrict foreign feedstocks from being 
eligible for Federal tax credits for biofuels markets. This policy was 
recently passed by the House as a part of our One Big Beautiful Bill, 
and we hope that the Senate will maintain this restriction to ensure 
that biofuels markets are structured the way Congress intends--with the 
farmer at the front of the line. How does USDA view policies to protect 
domestic feedstock producers, and how does the Administration feel 
about tax dollars potentially being spent to subsidize foreign products 
instead of American agriculture?
    Answer. USDA supports advancing American energy security through 
our domestic homegrown biofuels industry.
Question Submitted by Hon. Brad Finstad, a Representative in Congress 
        from Minnesota
    Question. Recently the Minnesota Turkey Growers Association 
commissioned a study that detailed the alarming economic impact of 
avian metapneumovirus on Minnesota's ag economy. The study showed $112 
million in lost turkey output, $17 million reduction in labor income, 
$31 million in lost value added to the Minnesota economy, reduction in 
tax revenue of nearly $8 million--all in 2024 alone.
    These stark economic realities of aMPV have led MTGA and 
Minnesota's turkey industry to request USDA open existing indemnity 
programs, like LIP and ELAP, to help keep independent growers in 
business until a robust and successful aMPV vaccination program can be 
fully implemented.
    Will you share a status update on that request?
    Answer. USDA's Center for Veterinary Biologics has granted 
emergency authorization for the use of both domestically produced 
experimental autogenous aMPV vaccines and imported aMPV vaccines that 
are unlicensed in the U.S.
Questions Submitted by Hon. Dan Newhouse, a Representative in Congress 
        from Washington
    Question 1. The Marketing Assistance for Specialty Crops (MASC) 
program is vital to producers in my district. Please provide an update 
on the issuance of the second tranche of payments for this program that 
was announced by USDA earlier this year.
    Answer. USDA has issued the second round of MASC payments.

    Question 2. Out-of-control and unsustainable labor cost increases 
driven by the terms and conditions of the H-2A program is posing a 
significant threat to the ability of many U.S. growers to continue to 
produce healthy, American-made food. I have significant concerns with 
the data collection method used by the Farm Labor Survey. The Survey 
results are used by the Department of Labor to establish a government-
mandated wage for employers using the H-2A temporary foreign worker 
program. Deficiencies in the data collection have contributed to non-
justifiable wage reporting that has greatly exacerbated unsustainable 
increases to labor costs for H-2A users and made the program 
inaccessible to some growers. Will you follow up on that pledge by 
instructing NASS to:

  a.  Once again report a ``Field & Livestock Combined'' annual average 
            hourly base wage, as was done by USDA under the first Trump 
            Administration, but was halted by the Biden Administration; 
            and

  b.  Expand the survey's sample size and refine the survey's design to 
            increase clarity, brevity, and comprehension; and

  c.  Determine any degree to which the inclusion of wages paid to H-2A 
            workers affects the average hourly base wage, considering 
            regions where H-2A workers and those in corresponding 
            employment make up a larger or smaller percentage of the 
            agricultural workforce and:

  d.  Explore the ability to make an empirical assessment based on the 
            data collected as to whether the admission of H-2A workers 
            either benefit and protect domestic worker jobs in 
            agriculture or have an adverse effect.

  e.  Collaborate with their colleagues at USDA and DOL to ensure that 
            producers are appropriately educated and aware of the 
            impact of their participation.

    Answer. I will commit to collaborating with the Department of Labor 
and other relevant entities in the Executive branch to advocate for 
necessary reforms to the H-2A program to make sure the program is 
affordable and accessible for all growers who are unable to find a 
domestic workforce.
Questions Submitted by Hon. Alma S. Adams, a Representative in Congress 
        from North Carolina
    Question 1. Earlier this year, the USDA's 1890 National Scholars 
Program was suspended, pending further review. I am pleased that the 
USDA lifted the suspension. However, for this program to truly thrive, 
scholars and institutions need assurance that it won't face sudden 
suspensions again. I heard directly from representatives of 1890 
Institutions, and they shared how deeply concerning this pause was for 
them and their students--many of whom were left uncertain about their 
financial stability and educational futures. That is why I introduced 
the Land-Grant Institution Parity Act, with Congressman Figures on the 
Committee, which protects Federal funding for our land-grant colleges 
and universities, including the country's 19 land-grant HBCUs, commonly 
referred to as 1890 Institutions.
    Can I count on your commitment to work together in addressing the 
real challenges and opportunities for our 1890s and HBCUs?
    Answer. USDA remains committed to supporting our land-grant 
institutions, including our 1890 land-grant universities, to ensure 
they can continue to train the next generation of agriculturalists. 
Additionally, I look forward to working with the White House and other 
Federal agencies to continue implementing Executive Order 14283, White 
House Initiative to Promote Excellence and Innovation at Historically 
Black Colleges and Universities.

    Question 2. The application deadline for the 1890s National 
Scholars Program was March 15, 2025. From my understanding, in early 
May 2025, approximately 700 applications had been received, but no 
scholarships had yet been awarded.
    How is the USDA addressing these applications to ensure a timely 
selection process?
    Answer. This year, USDA selected 29 student scholars based on 
funding and workforce needs.

    Question 2a. Could you please describe the criteria and review 
processes being used to evaluate the applications?
    Answer. Applications undergo an initial screening to confirm 
submission of required materials and eligibility and then USDA 
collaborates with 1890 land-grants to confirm admission eligibility 
before forwarding qualified applications for agency review and 
selection. USDA looks forward to identifying ways to improve this 
process in the future.

    Question 2b. Additionally, what is the projected timeline for 
notifying applicants of scholarship decisions?
    Answer. USDA notified all applicants of application status on 
August 1, 2025.

    Question 3. In addition to serving on this Committee, I also serve 
on the House Education and Workforce Committee, which oversees the WIC 
program. I was encouraged to see that it was one of the few programs to 
receive an anomaly for the Continuing Resolution passed in March. I was 
also pleased to see the recognition WIC received in the Make America 
Healthy Again (MAHA) commissioned report for its critical role in 
improving nutritional outcomes by providing access to healthy foods, 
such as fruits and vegetables through the Cash Value Benefit, or CVB. 
Research shows that increased consumption of fruits and vegetables is 
linked to better health outcomes for families, including reduced risk 
of maternal and infant mortality, improved nutrient intake, and long-
term prevention of diet-related chronic diseases.
    Since the CVB increase in 2021, and later codified in the 2024 USDA 
Final Rule, young children on WIC are now eating an additional \1/4\ 
cup of fruits and vegetables per day. Parents and caregivers say they 
can afford a healthier diet, increase their variety of fruits and 
vegetables, and serve their families more fruits and vegetables, all 
thanks to the CVB.
    However, recent proposals in President Trump's Fiscal Year 2026 
budget request and the House Republicans Agriculture Appropriations 
bill, call for cutting back the CVB to 2014 levels.
    Given that increased CVB levels have helped families consume more 
fruits and vegetables, do you believe that cutting funding for the CVB 
would reduce families' access to and consumption of these healthy 
foods? Yes or No.
    Answer. I appreciate the value of the Special Supplemental 
Nutrition Program for Women, Infants, and Children (WIC) to pregnant 
and post-partum mothers and their children. WIC has a proven track 
record of improving the health of nutritionally at-risk women, infants 
and children. It ensures WIC participants receive nutritious 
supplemental food purchases that are adjusted according to 
participants' life stage nutritional needs, including support for 
purchasing fresh fruits and vegetables, to promote health eating habits 
and improved health outcomes.

    Question 4. Secretary Rollins, you have approved three state waiver 
requests to restrict SNAP purchases under pilot authority. These pilots 
require robust evaluation to assess their impacts.
    Given the stated goal of the MAHA initiative, will states be 
required to evaluate individual-level health outcomes among SNAP 
participants?
    Answer. SNAP restriction waivers require an evaluation plan and 
data reporting elements, which state agencies have some flexibility in 
designing. State agencies will use various methods to evaluate the 
pilot project and associated outcomes.

    Question 4a. If not, what metrics will USDA use to determine 
success after the 2 year pilot period?
    Answer. States are required to develop an evaluation plan that 
defines project success and outcomes, detailed data points and metrics 
to be collected, and a description of how they will be analyzed.

    Question 4b. What role, if any, are SNAP participants or community 
organizations playing in the design and evaluation of these pilot 
programs?
    Answer. States are required to collect, measure, and analyze input 
from a variety of stakeholders--including SNAP households, retailers, 
and community-based organizations--through a variety of feedback 
channels such as webinars, town halls, surveys, focus groups, and 
public comment periods as they develop and evaluate the pilot.

    Question 4c. How is USDA ensuring that these voices are reflected 
in the development and review process?
    Answer. FNS is meeting frequently with state agencies to discuss 
opportunities and challenges associated with implementing the waiver. 
State agencies are working collaboratively with retailers to develop 
communication plans to ensure clear guidance, consistent messaging, and 
effective outreach to customers. Retailers may request or recommend 
educational signage and materials for use in stores.

    Question 5. Secretary Rollins, pilot projects under SNAP are 
permissible under the statute in order to test and evaluate different 
ways to improve the program. Several of the SNAP restrictions waiver 
requests from states outline that they will work with SNAP-Ed to define 
the evaluations.
    Given that the reconciliation bill eliminated SNAP-Ed, will you be 
reevaluating those approvals?
    Answer. SNAP restriction waivers are not dependent on the SNAP-Ed 
program, and states have the flexibility to tailor evaluation plans 
based on available resources.

    Question 6. Secretary Rollins, you have approved six state waiver 
requests to restrict SNAP purchases under pilot authority. In 
establishing any pilot, robust evaluation measures are required to 
determine the effects of the project.
    Given the stated goal of these pilots to Make America Healthy 
Again, will states be evaluating the health outcomes of individual SNAP 
participants?

    Question 6a. If not, how will USDA evaluate the outcome of the 
pilots after 2 years?
    Answer 6-6a. Like all SNAP demonstrations, states are required to 
conduct an evaluation to determine the effects of these pilots. There 
are many options in evaluating such a project, and the law does not 
specify the scope and nature of a project's required evaluation. FNS is 
encouraging states to work with SNAP-authorized retailers to secure 
data on SNAP purchases, and to supplement this with data on the food 
choices of participants to the extent possible.
    While it is difficult to assess changes in individual long-term 
health outcomes over the short duration of these pilots, existing 
evidence is clear that dietary improvements can reduce chronic disease 
risk over time. If states are able to identify changes in food 
purchases and/or by SNAP participants that are correlated with the 
scope or timing of the pilots, that would represent promising evidence 
of potential positive impacts of changes to the definition of eligible 
foods. More study would be needed to determine any causal links or 
influences.
Questions Submitted by Hon. Nikki Budzinski, a Representative in 
        Congress from Illinois
    Question 1. Once volumes are set, it is imperative that EPA take a 
careful and judicious approach to Small Refinery Exemption (SRE) 
petitions and ensure that biofuel blending volumes are not negatively 
impacted by any action on pending SRE petitions. If mishandled, SREs 
could short-circuit the RVO, destabilize farm economies, and wipe out 
the benefits of a strong rule. We all saw a preview of the relationship 
between blending volumes and agriculture markets in the last few weeks 
when soybean prices fell by 28 and bean oil trading was halted all due 
to a rumor about EPA's planned blending volumes and when EPA was forced 
to publicly dispel a rumor that it would be approving all 169 pending 
small refinery exemptions after RIN prices dropped precipitously.
    Answer. Secretary Rollins is in consistent communication with 
Administrator Zeldin and the White House about the importance of 
biofuels to the farm and rural economy. Secretary Rollins is supportive 
of Administrator Zeldin's proposed Renewable Fuel Standard with the 
highest ever volume requirements for American grown biofuels. America's 
national security depends on our energy security, and biofuels are a 
crucial asset that bring more jobs and help farmers in rural America. 
The Secretary will continue advocating for biofuels and for policies 
that support a strong commodity market.

    Question 2. Secretary Rollins, you serve on the Make America Health 
Again Commission. I know you support the goal of making Americans 
healthier--we all do. America's farmers and ranchers are a critical 
part of solution here, not the problem. Now that the report is out, 
what can you tell us about USDA's involvement in shaping the strategy 
that the Commission will issue in August?
    Answer. USDA recognizes the vital role of farmers to produce the 
safest most abundant food supply in the world. The Trump Administration 
remains steadfast in supporting continued access to safe, effective 
solutions that enable our farmers and ranchers to feed, fuel, and 
clothe the U.S. and the world.

    Question 2a. Can you ensure that farmers have a seat at the table?
    Answer. I commit is to continue working with American farmers to 
ensure that our producers have a seat at the table.
Questions Submitted by Hon. Gabe Vasquez, a Representative in Congress 
        from New Mexico
    Question 1. Wildfire severity and frequency has been increasing 
over the past several decades, with more than double as many acres 
burned on average per year from the 1990s to today. The USFS plays a 
pivotal role in managing forests to prevent catastrophic wildfire and 
in fighting fires when they grow out of control or threaten communities 
and approximately 75% of USFS staff are trained in wildland 
firefighting. While catastrophic wildfire is increasing, USFS staff has 
been severely cut during this Administration, with 25% of staff either 
resigning, being laid off, or accepting early retirement.
    Do you feel that USFS has the staffing necessary to adequately 
suppress catastrophic wildfire and protect communities throughout the 
west from the unfettered spread of wildfire?
    Answer. In support of the President's vision and the Secretary's 
direction, the Forest Service worked with OPM to exempt wildland fire 
hiring from the national hiring pause. The agency has nearly met our 
target of having 11,300 firefighters on board for the summer peak.

    Question 2. The President's FY26 skinny budget proposes changes to 
eliminate the U.S. Forest Service's Research and Development (R&D) 
deputy area. The R&D program works at the forefront of science to 
inform the management of our nation's 193 million acres of forests and 
grasslands. R&D work is also foundational to forest product innovations 
and essential market analyses. The R&D team (which, at the beginning of 
this year was made up of about 2,000 people nationwide including a 
center in Albuquerque) also develops predictive wildfire models, 
including one for hazardous fuels treatments which returns $7 in 
benefits for every $1 in Federal funds invested. The USFS R&D office in 
Albuquerque generates research around forest health, wood beetles, and 
informs land managers about forest conditions. Forest Service R&D leads 
the world in forest research and the private sector is not likely to 
fill its role.
    Do you believe that up to date locally based scientific research is 
important to informed natural resource management?
    Answer. USDA recognizes that sound decision-making incorporates a 
multitude of factors. The Department supports research that is aligned 
to the Agency's land management focus through the Forest Inventory and 
Analysis program. We will also continue to leverage the tremendous work 
of universities we have traditionally partnered with to deliver world-
class research.

    Question 2a. We are hearing that USFS Research and Development is 
being effectively eliminated. How are you ensuring that forest 
landowners and managers have adequate science to manage the nation's 
private and public forests?
    Answer. The FY 2026 Budget terminates the Forest and Rangeland 
Research program to ensure fiscal responsibility with taxpayer dollars 
and appropriate alignment of resources with the Forest Service's 
responsibility to steward National Forest System lands. The eliminated 
programs in this account were out of step with the practical needs of 
forest management for timber production. The long-standing census of 
forest resources and conditions through the Forest Inventory and 
Analysis program would continue under the National Forest System 
account to ensure that it is aligned with the practical needs of active 
forest management for timber production. The Joint Fire Science program 
was also maintained and would be moved to the DOI as part of the 
proposal for a new U.S. Wildland Fire Service.

    Question 2b. We are currently in peak wildfire season in New 
Mexico. Do you feel USDA and USFS have adequate research, science, and 
staff to ensure that communities in the state are supported in forest 
management to prevent catastrophic wildfire?
    Answer. The Budget fully supports the President's bold actions in 
Executive Order 14225, ``Immediate Expansion of American Timber 
Production,'' to improve forest management and increase domestic timber 
production, and the Administration's goal of restoring federalism by 
empowering states to assume a greater role in managing forest lands 
within their borders. The requested funding level supports the highest 
priorities in forest management, including timber sales and hazardous 
fuels removal. Further, implementation of Executive Order 14308, 
``Empowering Commonsense Wildfire Prevention and Response,'' will 
reform the Federal approach to wildland fire management, creating 
operational efficiencies for the Federal wildfire mission and 
streamlining efforts around risk mitigation and coordination with non-
Federal partners to combat the wildfire crisis.

    Question 3. Prescribed fire is a vital component of forest 
management and plays an irreplaceable role in preventing severe 
wildfire. We have concerns that the USFS is rolling back their 
commitment to doing prescribed fire work on federally owned and managed 
lands.
    What are the current USFS authorities for conducting prescribed 
fire on USFS lands, and is the agency committed to continuing to 
utilize prescribed burning as a tool for proactive forest management?
    Answer. The Forest Service conducts prescribed fires as tool to 
manage National Forest System Lands with these authorities and 
direction: Organic Administration Act of 1897 (Citation: 16 U.S.C.  
475); Weeks Act of 1911 (16 U.S.C.  552, 563); Clarke-McNary Act of 
1924 (16 U.S.C.  564 et seq.); National Forest Management Act of 1976 
(16 U.S.C.  1600-1614); Federal Land Policy and Management Act of 
1976 (43 U.S.C.  1701 et seq.); Clean Air Act (42 U.S.C.  7401 et 
seq.); Healthy Forests Restoration Act of 2003 (16 U.S.C.  6501 et 
seq.); various Interior and Related Agencies Appropriations Acts (often 
include specific line items for hazardous fuels reduction and fire 
management); and United States Forest Service Manual and Directives 
(Forest Service Manual (FSM) 5100--Fire Management). The agency is 
committed to continuing to use this tool as a component of forest 
management.

    Question 4. The President's budget proposes eliminating the Forest 
Service's State, Private, and Tribal Forestry branch, save for the 
Forest Inventory and Analysis program. The State, Private, and Tribal 
Forestry branch is responsible for absolutely essential cross-boundary 
forest work that promotes watershed health and drinking water 
availability, ample timber production, and fire resilient landscapes 
across the nation. In other words, this branch is responsible for 
generating tremendous public good on private lands for all Americans to 
benefit from. It helps prevent the deadly spread of forest pests and 
diseases and leads fire management on behalf of the Federal Government. 
If this branch were to be eliminated, Americans can say goodbye to the 
cooperative forestry programs that promote forest management and keep 
forests as forests, instead of parking lots.
    What reasons can you give for why these programs that provide 
outsized benefit to the American people should be eliminated?
    Answer. The President has pledged to manage National Forests for 
their intended purpose of producing timber. The Budget reduces funding 
for the Forest and Rangeland Research program because it is out of step 
with the practical needs of forest management for timber production, 
but maintains funding for Forest Inventory and Analysis, a longstanding 
census of forest resources and conditions.

    Question 5. The President's FY26 Budget proposes zeroing out the 
NRCS discretionary technical assistance budget. Conservation technical 
assistance, or CTA, pays for the field conservation professionals who 
provide tailored conservation solutions to producers who request them. 
These key field staff work directly with farmers and ranchers to assess 
their specific conservation needs, and their expert advice is one of 
the most cost-effective avenues for conservation gains.
    What is your plan to ensure that NRCS will have adequate staff to 
be able to meet the steep producer demand for locally tailored 
conservation solutions?
    Answer. Farmers will continue to receive conservation technical 
assistance funded from the following farm bill programs: the 
Environmental Quality Incentives Program, the Conservation Stewardship 
Program, the Agricultural Conservation Easement Program, the Regional 
Conservation Partnership Program, and the Agricultural Management 
Assistance Program. NRCS partners with state conservation agencies, 
local conservation districts, and third-party private sector entities 
(known as Technical Service Providers). The Conservation Technical 
Assistance program will be realigned to reflect the total salaries and 
expenses needed to provide technical assistance to deliver programs 
authorized by Congress. Multiple funding sources will contribute to the 
salaries and expenses needed to fund the NRCS workforce.
Questions Submitted by Hon. Josh Riley, a Representative in Congress 
        from New York
    Question 1. During the hearing, you stated that it was your 
understanding that no contracts between USDA and farmers in New York's 
19th Congressional District (NY-19) remained suspended.
    Please confirm that your understanding is correct (i.e., that all 
contracts between USDA and farmers in NY-19 have resumed). If it is not 
correct, please explain that.

    Question 1a. Please provide a list of any contracts between USDA 
and farmers in NY-19 that had been suspended or terminated since 
January 20, 2025, so that I can follow up with the affected farmers to 
ensure they are receiving all the support they need.
    Answer 1-1a. There are no suspended contracts between USDA and the 
roughly 4,500 farmers in New York's 19th Congressional District.

    Question 2. America's immigration system is a complete mess. We 
must secure America's borders after years of the Biden Administration's 
failure to do so. And, consistent with Due Process and the 
Constitution, we should remove people who commit violent crimes while 
unlawfully present in the United States. However, the farmers I 
represent (many of whom have supported you and the President in the 
past) are very concerned that your Administration's immigration 
enforcement actions will sweep too broadly and result in the 
deportation of hardworking, law-abiding farmworkers, many of whom have 
been working on Upstate New York's farms for many years. Removing these 
immigrants would devastate our agriculture economy and tear apart our 
rural communities. As you know, many farmworkers are here unlawfully 
not because they are ``criminals'' but rather because politicians from 
both parties have completely failed to fix our nation's broken 
immigration system. For example, if our immigration laws made any 
sense--which they don't--we would have visas for dairy workers to milk 
the cows year-round. But since politicians have failed to fix the laws, 
family farmers have been put to an impossible choice of either hiring 
undocumented labor or going out of business. I was very encouraged to 
read a New York Times article days after your hearing in which the 
President announced that he would stop immigration raids on farms and 
other agricultural sites, reportedly as a result of your counsel to 
him. I'd welcome the opportunity to work with you to update our 
immigration laws in a way that best supports Upstate New York's family 
farms. In the meantime, can you please confirm that the Administration 
will not deport any farmworker or farmworkers' immediate family member 
in NY-19 who (1) has not committed a crime (aside from unlawfully 
entering or remaining present) and (2) is endorsed by his or her family 
farm employer? The many family farms I represent need and deserve that 
assurance from you and the Administration.
    Answer. The President has been unequivocal that there will be no 
amnesty, and I think that's very important. It is possible for our 
farmers to be successful through a combination of American labor, 
foreign workers that come legally to our country, and increased 
automation. Some reform within the current governing structure 
concerning the visa process will also be necessary.

                               [all]