Reaching Those in Need:

Similar documents
medicaid and the How will the Medicaid Expansion for Adults Impact Eligibility and Coverage? Key Findings in Brief

FY year and 3-year Cohort Default Rates by State and Level and Control of Institution

Average Loan or Lease Term. Average

46 Children s Defense Fund

STATE CAPITAL SPENDING ON PK 12 SCHOOL FACILITIES NORTH CAROLINA

Wilma Rudolph Student Athlete Achievement Award

BUILDING CAPACITY FOR COLLEGE AND CAREER READINESS: LESSONS LEARNED FROM NAEP ITEM ANALYSES. Council of the Great City Schools

2017 National Clean Water Law Seminar and Water Enforcement Workshop Continuing Legal Education (CLE) Credits. States

Disciplinary action: special education and autism IDEA laws, zero tolerance in schools, and disciplinary action

Two Million K-12 Teachers Are Now Corralled Into Unions. And 1.3 Million Are Forced to Pay Union Dues, as Well as Accept Union Monopoly Bargaining

A Profile of Top Performers on the Uniform CPA Exam

2016 Match List. Residency Program Distribution by Specialty. Anesthesiology. Barnes-Jewish Hospital, St. Louis MO

Housekeeping. Questions

cover Private Public Schools America s Michael J. Petrilli and Janie Scull

Junior (61-90 semester hours or quarter hours) Two-year Colleges Number of Students Tested at Each Institution July 2008 through June 2013

Discussion Papers. Assessing the New Federalism. State General Assistance Programs An Urban Institute Program to Assess Changing Social Policies

About the College Board. College Board Advocacy & Policy Center

TRENDS IN. College Pricing

Trends in College Pricing

Student Admissions, Outcomes, and Other Data

NASWA SURVEY ON PELL GRANTS AND APPROVED TRAINING FOR UI SUMMARY AND STATE-BY-STATE RESULTS

Redirected Inbound Call Sampling An Example of Fit for Purpose Non-probability Sample Design

State Limits on Contributions to Candidates Election Cycle Updated June 27, PAC Candidate Contributions

CLE/MCLE Information by State

DIRECT CERTIFICATION AND THE COMMUNITY ELIGIBILITY PROVISION (CEP) HOW DO THEY WORK?

The Effect of Income on Educational Attainment: Evidence from State Earned Income Tax Credit Expansions

Trends in Higher Education Series. Trends in College Pricing 2016

2014 Comprehensive Survey of Lawyer Assistance Programs

Brian Isetts University of Minnesota - Twin Cities, Anthony W. Olson PharmD University of Minnesota, Twin Cities,

The following tables contain data that are derived mainly

Anatomy and Physiology. Astronomy. Boomilever. Bungee Drop

Free Fall. By: John Rogers, Melanie Bertrand, Rhoda Freelon, Sophie Fanelli. March 2011

Healthier US School Challenge : Smarter Lunchrooms

Greta Bornemann (360) Patty Stephens (360)

Financial Education and the Credit Behavior of Young Adults

The Demographic Wave: Rethinking Hispanic AP Trends

Iowa School District Profiles. Le Mars

Set t i n g Sa i l on a N e w Cou rse

Understanding University Funding

Canada and the American Curriculum:

STATE-BY-STATE ANALYSIS OF CONTINUING EDUCATION REQUIREMENTS FOR LANDSCAPE ARCHITECTS

Wisconsin 4 th Grade Reading Results on the 2015 National Assessment of Educational Progress (NAEP)

A Comparison of the ERP Offerings of AACSB Accredited Universities Belonging to SAPUA

Fisk University FACT BOOK. Office of Institutional Assessment and Research

History of CTB in Adult Education Assessment

Stetson University College of Law Class of 2012 Summary Report

ObamaCare Expansion Enrollment is Shattering Projections

Proficiency Illusion

Why Science Standards are Important to a Strong Science Curriculum and How States Measure Up

Multi-Year Guaranteed Annuities

Update Peer and Aspirant Institutions

James H. Walther, Ed.D.

Trends in Tuition at Idaho s Public Colleges and Universities: Critical Context for the State s Education Goals

The College of New Jersey Department of Chemistry. Overview- 2009

2013 donorcentrics Annual Report on Higher Education Alumni Giving

National Survey of Student Engagement Spring University of Kansas. Executive Summary

Cooper Upper Elementary School

TENNESSEE S ECONOMY: Implications for Economic Development

Teacher Supply and Demand in the State of Wyoming

Teach For America alumni 37,000+ Alumni working full-time in education or with low-income communities 86%

The Value of English Proficiency to the. By Amber Schwartz and Don Soifer December 2012

ATTRIBUTES OF EFFECTIVE FORMATIVE ASSESSMENT

2009 National Survey of Student Engagement. Oklahoma State University

Special Diets and Food Allergies. Meals for Students With 3.1 Disabilities and/or Special Dietary Needs

NCSC Alternate Assessments and Instructional Materials Based on Common Core State Standards

Peer Comparison of Graduate Data

2007 NIRSA Salary Census Compiled by the National Intramural-Recreational Sports Association NIRSA National Center, Corvallis, Oregon

STRONG STANDARDS: A Review of Changes to State Standards Since the Common Core

NBCC NEWSNOTES. Guidelines for the New. World of WebCounseling. Been There, Done That: Multicultural Training Can. Always be productively revisted

MIAO WANG. Articles in Refereed Journals and Book Volumes. Department of Economics Marquette University 606 N. 13 th Street Milwaukee, WI 53233

Albert (Yan) Wang. Flow-induced Trading Pressure and Corporate Investment (with Xiaoxia Lou), Forthcoming at

EDUCATION POLICY ANALYSIS ARCHIVES A peer-reviewed scholarly journal

Susanna M Donaldson Curriculum Vitae

Missouri 4-H University of Missouri 4-H Center for Youth Development

Career Services JobFlash! as of July 26, 2017

OSU Access Week at Puebla, Mexico

Teaching Colorado s Heritage with Digital Sources Case Overview

New Student Application. Name High School. Date Received (official use only)

Coming in. Coming in. Coming in

Imagine this: Sylvia and Steve are seventh-graders

Emergency Safety Interventions Kansas Regulations and Comparisons to Other States. April 16, 2013

The Economic Impact of College Bowl Games

Cooper Upper Elementary School

Pathways to Health Professions of the Future

HORSE EVALUATION CAREER DEVELOPMENT EVENT

Jon N. Kerr, PhD, CPA August 2017

top of report Note: Survey result percentages are always out of the total number of people who participated in the survey.

Produced by the Feminist Majority Foundation s Campus Leadership Program East Coast: 1600 Wilson Blvd Suite 801, Arlington, VA

THE ECONOMIC AND SOCIAL IMPACT OF APPRENTICESHIP PROGRAMS

Status of Women of Color in Science, Engineering, and Medicine

Effective Recruitment and Retention Strategies for Underrepresented Minority Students: Perspectives from Dental Students

Educational Attainment

ILLINOIS DISTRICT REPORT CARD

EPA Approved Laboratories for UCMR 3

Higher Education Six-Year Plans

Massachusetts Department of Elementary and Secondary Education. Title I Comparability

ILLINOIS DISTRICT REPORT CARD

NC Community College System: Overview

Memorandum RENEWAL OF ACCREDITATION. School School # City State # of Years Effective Date

CAMPUS PROFILE MEET OUR STUDENTS UNDERGRADUATE ADMISSIONS. The average age of undergraduates is 21; 78% are 22 years or younger.

Transcription:

STATE SUPPLEMENTAL NUTRITION ASSISTANCE PROGRAM PARTICIPATION RATES IN 2008 Recent studies have examined national participation rates as well as participation rates for socioeconomic and demographic subgroups (Leftin 2010), and State rates for all eligible people and for the working poor (Cunnyngham and Castner 2009). This document presents estimates of SNAP participation rates for all eligible people and for the working poor by State for fiscal year 2008. These estimates can be used to assess recent program performance and focus efforts to improve performance. A Participation Rates in 2008 T The Supplemental Nutrition Assistance Program (SNAP) formerly the Food Stamp Program is a central component of American policy to alleviate hunger and poverty. The program s main purpose is to permit low-income households to obtain a more nutritious diet...by increasing their purchasing power (Food and Nutrition Act of 2008). SNAP is the largest of the domestic food and nutrition assistance programs administered by the U.S. Department of Agriculture s Food and Nutrition Service. During fiscal year 2010, the program served 40 million people in an average month at a total annual cost of almost $65 billion in benefits. The Government Performance and Results Act of 1993 calls for policymakers to assess the effects of programs, and one important measure of a program s performance is its ability to reach its target population. The national SNAP participation rate the percentage of eligible people in the United States who actually participate in the program has been a standard for assessing performance for about 25 years. The U.S. Department of Agriculture s budget request for fiscal year 2011 includes a performance target to reach 68.5 percent of the eligible population in that year. SNAP provides an important support for the working poor people who are eligible for SNAP benefits and live in households in which someone earns income from a job. Thirty-three million people received benefits in an average month in 2009. Thirteen million almost 40 percent lived in households that had income from earnings, up from 30 percent of all participants in 1996, the year in which more emphasis was placed on work for public assistance recipients through the enactment of the Personal Responsibility and Work Opportunity Reconciliation Act. As reported in Leftin (2010), 67 percent of eligible people in the United States received SNAP benefits in fiscal year 2008.1 Participation rates varied widely from State to State, however. Twenty States had rates that were significantly higher (in a statistical sense) than the national rate, and 19 States had rates that were significantly lower. Among the regions, the Midwest Region had the highest participation rate. Its 74 percent rate was significantly higher than the rates for all of the other regions. The Western Region s participation rate of 58 percent was significantly lower than the rates for all of the other regions. (See the last page for a map showing regional boundaries.)... Reaching Those in Need: FOOD AND NUTRITION SERVICE After Leftin 2010 was issued, corrections to Missouri participation data resulted in a 0.5 percentage point drop in the estimated national SNAP participation rate from 66.8 percent to 66.3 percent. The analysis and results presented here are based on the new data, so the corrected estimated national rate, rounded to 66 percent, appears in the subsequent tables and text. 1 B Y K A R E N E. C U N N Y N G H A M A N D L A U R A A. C A S T N E R M AT H E M AT I C A P O L I C Y R E S E A R C H DECEMBER 2010

Eligible People (Thousands) 167 456 295 1,018 717 101 1,349 829 1,612 709 66 122 325 772 1,578 890 523 78 1,624 681 871 2,813 603 67 844 354 327 102 1,444 121 1,570 692 604 849 191 457 2,333 100 102 962 136 551 320 4,344 236 180 790 479 276 4,374 49 Maine Oregon West Virginia Tennessee Kentucky District of Columbia Michigan Missouri Illinois Washington Vermont Hawaii Iowa South Carolina Pennsylvania Louisiana Arkansas Alaska Ohio Massachusetts Indiana New York Oklahoma North Dakota Alabama New Mexico Connecticut Delaware North Carolina Montana Georgia Mississippi Wisconsin Virginia Nebraska Minnesota Florida New Hampshire South Dakota Arizona Rhode Island Maryland Kansas Texas Utah Idaho New Jersey Colorado Nevada California Wyoming How Many Were Eligible in 2008? What Percentage Participated? Participation Rates and Confidence Intervals (Participation Rate = 100 x Number of People Participating Number of People Eligible) (Estimated participation rates are in red; estimated bounds of confidence intervals are in black.) 90% 94% 99% 87% 92% 97% 86% 91% 97% 83% 87% 92% 82% 86% 91% 77% 86% 94% 80% 86% 91% 79% 83% 87% 76% 80% 83% 75% 80% 84% 75% 79% 83% 73% 78% 84% 71% 75% 80% 71% 75% 78% 70% 74% 78% 68% 72% 76% 67% 71% 75% 64% 70% 76% 67% 70% 73% 65% 70% 75% 66% 69% 73% 64% 68% 71% 64% 68% 71% 62% 67% 72% 63% 67% 71% 62% 66% 71% 62% 66% 70% 61% 66% 70% 62% 65% 68% 60% 65% 70% 61% 64% 68% 60% 64% 68% 60% 63% 66% 59% 63% 67% 58% 63% 67% 58% 62% 67% 58% 62% 66% 57% 62% 66% 57% 61% 66% 58% 61% 65% 61% 65% 57% 61% 66% 53% 57% 61% 53% 55% 58% 51% 55% 60% 50% 55% 59% 50% 54% 58% 48% 52% 56% 47% 51% 56% 48% 50% 53% 40% 46% 52% 58% 6,518 9,389 4,292 4,265 2,720 6,714 7,157 Midwest Region Southeast Region Northeast Region Mid-Atlantic Region Mountain Plains Region Southwest Region Western Region 72% 74% 77% 67% 69% 71% 66% 69% 71% 66% 68% 70% 65% 67% 69% 58% 61% 63% 56% 58% 60% 41,055 United States 65% 66% 67% A confidence interval expresses our uncertainty about the true value of a participation rate. Each interval displayed here is a 90-percent confidence interval. One interpretation of such an interval is that there is a 90-percent chance that the true participation rate falls within the estimated bounds. For example, while our best estimate is that New Mexico s participation rate was 66 percent in 2008, the true rate may have been higher or lower. However, the chances are 90 in 100 that the true rate was between 62 and 71 percent. 2

Eligible Working Poor (Thousands) 113 68 623 221 230 405 457 160 38 353 751 343 405 34 304 607 245 647 190 53 35 50 46 266 362 322 297 68 707 105 513 856 101 420 219 22 44 129 179 129 1,290 995 2,403 240 258 312 133 250 28 50 2,610 West Virginia Maine Michigan Oregon Kentucky Missouri Tennessee Iowa Alaska Indiana Illinois South Carolina Louisiana Vermont Washington Pennsylvania Arkansas Ohio New Mexico Montana North Dakota Delaware South Dakota Oklahoma Alabama Wisconsin Mississippi Hawaii North Carolina Nebraska Arizona Georgia Idaho Virginia Minnesota Wyoming New Hampshire Connecticut Kansas Utah New York Florida Texas Maryland Massachusetts New Jersey Nevada Colorado District of Columbia Rhode Island California How Many Working Poor Were Eligible in 2008? What Percentage Participated? Participation Rates and Confidence Intervals (Participation Rate = 100 x Number of People Participating Number of People Eligible) (Estimated participation rates are in red; estimated bounds of confidence intervals are in black.) 80% 91% 76% 85% 74% 83% 69% 78% 86% 69% 77% 84% 68% 75% 82% 66% 73% 81% 65% 72% 78% 58% 69% 79% 62% 68% 74% 60% 66% 72% 60% 66% 73% 60% 66% 73% 57% 65% 73% 57% 65% 73% 58% 65% 71% 58% 64% 71% 59% 64% 70% 57% 64% 70% 54% 63% 71% 54% 62% 70% 54% 62% 69% 54% 62% 69% 55% 61% 67% 54% 60% 67% 54% 60% 66% 53% 60% 67% 50% 58% 66% 52% 57% 63% 51% 57% 63% 49% 54% 60% 47% 53% 59% 46% 52% 59% 45% 51% 58% 44% 51% 58% 41% 50% 59% 43% 50% 57% 44% 50% 56% 43% 48% 54% 42% 48% 55% 48% 54% 42% 48% 54% 43% 47% 51% 39% 46% 53% 39% 46% 53% 35% 41% 47% 34% 41% 48% 34% 41% 47% 29% 41% 52% 34% 40% 45% 28% 31% 35% 42% 94% 92% 100% 2,914 1,384 4,248 1,769 3,510 1,873 3,988 Midwest Region Mountain Plains Region Southeast Region Mid-Atlantic Region Southwest Region Northeast Region Western Region 64% 68% 72% 56% 59% 63% 55% 58% 61% 52% 56% 60% 49% 52% 56% 45% 49% 54% 38% 41% 44% 19,685 United States 52% 54% 56% A confidence interval expresses our uncertainty about the true value of a participation rate. Each interval displayed here is a 90-percent confidence interval. One interpretation of such an interval is that there is a 90-percent chance that the true participation rate falls within the estimated bounds. For example, while our best estimate is that Arkansas s working poor participation rate was 64 percent in 2008, the true rate may have been higher or lower. However, the chances are 90 in 100 that the true rate was between 58 and 71 percent. 3

DECEMBER 2010 4... In 2008, 54 percent of eligible working poor in the United States participated in SNAP, but as with participation rates for all eligible people, rates for the working poor varied widely across States. Twenty-seven States had rates for the working poor that were significantly higher than the national rate, and 13 States had rates that were significantly lower. While 66 percent of all eligible people in the United States participated in 2008, only 54 percent of the eligible working poor participated, a significant difference of 12 percentage points. In 37 States, the participation rate for the working poor in 2008 was like the national rate for the working poor significantly lower than the rate for all eligible people. In 6 of these States, the difference between the rate for the working poor and the rate for all eligible people was significantly greater than the 12 percentage points difference between the national rates. In no State was the rate for the working poor significantly higher than the rate for all eligible people. State Comparisons T The estimated participation rates presented here are based on fairly small samples of households in each State. Although there is substantial uncertainty associated with the estimates for some States and with comparisons of estimates from different States, the estimates for 2008 show whether a State s participation rate for all eligible people was probably at the top, at the bottom, or in the middle of the distribution. Maine, Oregon, and West Virginia were very likely at the top, with higher rates for all eligible people than all other States. In contrast, California and Wyoming likely had lower rates than most States. Similarly, it is possible to determine that some States were probably at the top, at the bottom, or in the middle of the distribution of rates for the working poor in 2008. West Virginia, Maine, and Michigan were very likely ranked at the top, with higher rates for the working poor than most States. In contrast, California likely had a lower rate than most States. How a State compares with other States may fluctuate over time due to statistical variability in estimated rates and true changes in rates. The statistical variability is sufficiently great that a large change in a State s rate from the prior year should be interpreted cautiously, as should differences between the rates of that State and other States. It may be incorrect to conclude that program performance in the State has improved or deteriorated dramatically. Despite this uncertainty, the estimated participation rates for all eligible people and the working poor suggest that some States have been fairly consistently in the top or bottom of the distribution of rates in recent years. In all 3 years from 2006 to 2008, the District of Columbia, Illinois, Kentucky, Maine, Michigan, Missouri, Oregon, Tennessee, Washington, and West Virginia had significantly higher participation rates for all eligible people than twothirds of the States. An additional 6 States Arkansas, Hawaii, Louisiana, Pennsylvania, South Carolina, and Vermont had significantly higher rates than half of the States. Arizona, Kansas, New Hampshire, Rhode Island, and Texas had significantly lower rates than half of the States in all 3 years, while California, Colorado, Idaho, New Jersey, Nevada, Utah, and Wyoming had significantly lower rates than two-thirds of the States. A State ranked near the top or bottom of the distribution of participation rates for all eligible people is likely to be ranked near the top or bottom, respectively, of the distribution of participation rates for the working poor. Although the rankings of States by participation rates for the working poor and for all eligible people are generally similar, they do not exactly match. Six States (Idaho, Indiana, Montana, South Dakota, Wisconsin, and Wyoming) are ranked significantly higher for all 3 years when ranked by their participation rate for the working poor than when ranked by their participation rate for all eligible people. In contrast, Connecticut, the District of Columbia, Hawaii, Massachusetts, and Rhode Island are ranked significantly lower for all 3 years when ranked by their participation rate for the working poor than when ranked by their participation rate for all eligible people. Estimation Method T The estimates presented here were derived using shrinkage estimation methods developed to improve precision when sample sizes are small, as they are for most states in the Current Population Survey (Cunnyngham, Castner, and Schirm 2010, and Cunnyngham, Castner, and Schirm forthcoming). Drawing on data from the Current Population Survey, the American Community Survey, and administrative records, the shrinkage estimator averaged sample estimates of participation rates with predictions from a regression model. The sample estimates were obtained by applying SNAP eligibility rules to households in the Current Population Survey to estimate numbers of eligible people and eligible working poor, while estimating numbers of participating people and participating working poor from SNAP administrative data. The working poor are defined as people who are eligible for SNAP and live in a household in which a member earns money from a job. The regression predictions of participation rates were based on observed indicators of socioeconomic conditions, such as the percentage of the total State population receiving SNAP

Participation Rates All Eligible People Working Poor 2006 2007 2008 2006 2007 2008 Alabama 67% 66% 67% 60% 62% 60% Alaska 74% 74% 70% 69% 62% 69% Arizona 61% 60% 61% 56% 55% 54% Arkansas 75% 75% 71% 69% 69% 64% California 50% 49% 50% 35% 34% 31% Colorado 57% 55% 52% 46% 45% 41% Connecticut 70% 66% 66% 52% 51% 50% Delaware 72% 69% 66% 69% 58% 62% District of Columbia 84% 80% 86% 40% 39% 41% Florida 59% 57% 62% 49% 48% 48% Georgia 67% 62% 64% 56% 52% 53% Hawaii 76% 75% 78% 58% 58% 58% Idaho 53% 50% 55% 51% 52% 52% Illinois 80% 81% 80% 68% 67% 66% Indiana 72% 71% 69% 71% 67% 68% Iowa 70% 75% 75% 66% 70% 72% Kansas 59% 58% 57% 49% 49% 48% Kentucky 79% 83% 86% 71% 79% 77% Louisiana 80% 77% 72% 74% 69% 66% Maine 89% 89% 94% 81% 86% 85% Maryland 64% 59% 61% 48% 44% 46% Massachusetts 66% 64% 70% 42% 47% 46% Michigan 84% 91% 86% 84% 84% 83% Minnesota 64% 64% 62% 52% 53% 51% Mississippi 63% 66% 64% 59% 58% 60% Missouri 85% 84% 83% 77% 76% 75% Montana 63% 65% 65% 60% 64% 63% Nebraska 62% 63% 63% 54% 58% 57% Nevada 53% 51% 51% 46% 37% 41% New Hampshire 62% 60% 62% 49% 53% 50% New Jersey 57% 54% 54% 43% 44% 41% New Mexico 74% 70% 66% 71% 64% 64% New York 64% 61% 68% 46% 49% 48% North Carolina 64% 64% 65% 57% 57% 57% North Dakota 57% 62% 67% 51% 59% 62% Ohio 70% 69% 70% 65% 61% 64% Oklahoma 72% 70% 68% 65% 63% 61% Oregon 89% 92% 92% 77% 80% 78% Pennsylvania 71% 72% 74% 62% 67% 65% Rhode Island 56% 56% 61% 35% 40% 40% South Carolina 75% 74% 75% 66% 63% 66% South Dakota 58% 61% 61% 56% 58% 62% Tennessee 86% 86% 87% 72% 75% 73% Texas 63% 56% 55% 54% 47% 47% Utah 58% 53% 55% 49% 50% 48% Vermont 73% 73% 79% 59% 66% 65% Virginia 64% 62% 63% 50% 52% 51% Washington 80% 79% 80% 66% 63% 65% West Virginia 80% 87% 91% 80% 95% 91% Wisconsin 60% 63% 63% 57% 60% 60% Wyoming 48% 45% 46% 47% 47% 50% Mid-Atlantic Region 67% 66% 68% 55% 57% 56% Midwest Region 74% 76% 74% 69% 68% 68% Mountain Plains Region 67% 68% 67% 59% 60% 59% Northeast Region 65% 63% 69% 48% 50% 49% Southeast Region 68% 67% 69% 59% 58% 58% Southwest Region 68% 62% 61% 59% 53% 52% Western Region 58% 57% 58% 45% 43% 41% United States 67% 65% 66% 56% 55% 54% There is substantial uncertainty associated with most of these estimates. Confidence intervals that measure the uncertainty in the estimates for 2006 and 2007 are presented in Cunnyngham, Castner, and Schirm (forthcoming). These confidence intervals are generally about as wide as the confidence intervals that are presented in this document for the 2008 estimates. benefits. The shrinkage estimates presented here are substantially more precise than the direct sample estimates from the Current Population Survey. After Leftin (2010) was published, Missouri corrected the reported number of individuals participating in SNAP in that state. The State and national estimates presented here incorporate the corrected Missouri data. In addition, the methodology used to calculate standard errors of estimates of eligibles was updated from previous reports in this series to use information recently made available by the U.S. Census Bureau. Because the Current Population Survey does not collect data on participation in the Food Distribution Program on Indian Reservations, the estimates presented here were not adjusted to reflect the fact that participants in that program were not eligible to receive SNAP benefits at the same time (Leftin 2010). The Food Distribution Program on Indian Reservations served about 90,000 people in 2008, so the effects of such adjustments would be negligible in almost all States. Because our focus in this document is on participation among people who were eligible for SNAP, the estimates of eligible people were adjusted using available data to reflect the fact that Supplemental Security Income recipients in California are not legally eligible to receive SNAP benefits because they receive cash instead. 2 It might be useful in some other contexts, however, to consider participation rates among those eligible for SNAP benefits or a cash substitute. 2 About 1.2 million Supplemental Security Income recipients in California receive a small food assistance benefit through the State supplement. Less than half of these recipients would be eligible for SNAP under current program rules.... DECEMBER 2010 5

Participation Rate for All Eligible People 94% Maine 92% Oregon 91% West Virginia 87% Tennessee 86% Kentucky 86% District of Columbia 86% Michigan 83% Missouri 80% Illinois 80% Washington 79% Vermont 78% Hawaii 75% Iowa 75% South Carolina 74% Pennsylvania 72% Louisiana 71% Arkansas 70% Alaska 70% Ohio 70% Massachusetts 69% Indiana 68% New York 68% Oklahoma 67% North Dakota 67% Alabama 66% New Mexico 66% Connecticut 66% Delaware 65% North Carolina 65% Montana 64% Georgia 64% Mississippi 63% Wisconsin 63% Virginia 63% Nebraska 62% Minnesota 62% Florida 62% New Hampshire 61% South Dakota 61% Arizona 61% Rhode Island 61% Maryland 57% Kansas 55% Texas 55% Utah 55% Idaho 54% New Jersey 52% Colorado 51% Nevada 50% California 46% Wyoming How Did Your State Rank in 2008? Ranks and Confidence Intervals (Estimated ranks are in red; estimated bounds of confidence intervals are in black.) 1 1 3 1 2 5 1 3 5 3 4 7 4 5 8 2 6 12 3 7 9 5 8 10 8 9 13 7 10 13 8 11 14 8 12 16 10 13 18 11 14 17 12 15 19 13 16 22 15 17 25 13 18 31 16 19 25 14 20 29 16 21 27 18 22 32 18 23 32 17 24 35 18 25 34 19 26 36 20 27 36 20 28 39 23 29 36 20 30 40 23 31 39 23 32 41 27 33 41 26 34 41 26 35 42 26 36 42 27 37 42 27 38 43 28 39 43 30 40 42 29 41 43 29 42 43 40 43 47 42 44 48 42 45 49 43 46 49 43 47 49 44 48 50 44 49 51 48 50 51 49 51 51 A confidence interval expresses our uncertainty about the true value of a State s rank. Each interval displayed here is a 90-percent confidence interval. One interpretation of such an interval is that there is a 90-percent chance that the true rank falls within the estimated bounds. For example, while our best estimate is that New Mexico had the 26th highest participation rate in 2008, the true rank may have been higher or lower. However, the chances are 90 in 100 that the true rank was between 19 and 36 among all of the States. To determine how New Mexico or your State compares with any other State, see the chart on page 7. 6

How Did Your State Compare with Other States in 2008 for All Eligibles? ME OR WV TN KY DC MI MO IL WA VT HI IA SC PA LA AR AK OH MA IN NY OK ND AL NM CT DE NC MT GA MS WI VA NE MN FL NH SD AZ RI MD KS TX UT ID NJ CO NV CA WY Rate ME OR WV TN 94% 92% 91% 87% KY DC MI MO IL WA VT HI IA SC PA LA AR AK OH MA IN NY OK ND AL NM CT DE NC MT GA MS WI VA NE MN FL NH SD AZ RI MD KS TX UT ID NJ CO NV CA WY Rate for row State significantly higher Rates not significantly different Rate for row State significantly lower 86% 86% 86% 83% 80% 80% 79% 78% 75% 75% 74% 72% 71% 70% 70% 70% 69% 68% 68% 67% 67% 66% 66% 66% 65% 65% 64% 64% 63% 63% 63% 62% 62% 62% 61% 61% 61% 61% 57% 55% 55% 55% 54% 52% 51% 50% 46% Whether one State has a significantly higher participation rate than a second State can be determined from this figure by finding the row for the first State at the left of the figure and the column for the second State at the top of the figure. If the box where the row and column intersect is red, there is at least a 90-percent chance that the first State (the row State) has a higher true participation rate. If the box is blue, there is at least a 90-percent chance that the second State (the column State) has a higher true participation rate. Equivalently, there is less than a 10-percent chance that the first State has a higher rate. If the box is tan, there is more than a 10-percent chance but less than a 90-percent chance that the first State has a higher rate; thus, we conclude that neither estimated rate is significantly higher. Taking New Mexico, the State in the middle of the distribution, as an example, we see that it had a significantly lower participation rate than 17 other States (Maine, Oregon, West Virginia, Tennessee, Kentucky, the District of Columbia, Michigan, Missouri, Illinois, Washington, Vermont, Hawaii, Iowa, South Carolina, Pennsylvania, Louisiana, and Arkansas) and a significantly higher rate than 13 other States (Wyoming, California, Nevada, Colorado, New Jersey, Idaho, Utah, Texas, Kansas, Maryland, Rhode Island, Arizona, and South Dakota). Its rate was neither significantly higher nor significantly lower than the rates for the other 20 States, suggesting that New Mexico is probably in the broad center of the distribution, unlike, for example, Maine and Wyoming, which were surely at or near the top and bottom of the distribution, respectively. Although we use the statistical definition of significance here, most of the significant differences were at least 10 percentage points, a difference that seems important as well as significant, and all of them were at least 4 percentage points. 7

The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, age, disability, and where applicable, sex, marital status, familial status, parental status, religion, sexual orientation, genetic information, political beliefs, reprisal, or because all or part of a person s income is derived from any public assistance program. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact USDA s TARGET Center at (202) 720-2600 (voice and TDD). To file a complaint of discrimination, write to USDA, Director, Office of Civil Rights, 1400 Independence Avenue, S.W., Washington, DC 20250-9410, or call (800) 795-3272 (voice) or (202) 720-6382 (TDD). USDA is an equal opportunity provider and employer. DECEMBER 2010... Western Although our focus is on participation among people who were eligible for SNAP, no data are available to estimate the number of people who would have failed the program s income tests but were categorically eligible for SNAP benefits through participation in noncash public assistance programs. Therefore, because such people could not be included in estimates of eligible people, they were also excluded from the estimates of participating people. Leftin (2010) presents details on the methods used to estimate the numbers of eligible and participating people used in deriving the participation rates presented here. Participation Rates Varied Widely Southwest Mountain Plains References C Midwest Southeast 2008 Participation Rate for All Eligible People Above 77% (top quarter) 62% to 75% Below 62% (bottom quarter) National Rate = 66% Cunnyngham, Karen E., Laura A. Castner, and Allen L. Schirm. Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition Assistance Program Rates in 2006-2008 for All Eligible People and the Working Poor. Washington, DC: Mathematica Policy Research, forthcoming. Cunnyngham, Karen E., Laura A. Castner, and Allen L. Schirm. Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition Assistance Program Participation Rates in 2005-2007 for All Eligible People and the Working Poor. Washington, DC: Mathematica Policy Research, June 2010. Northeast Mid-Atlantic Cunnyngham, Karen E. and Laura A. Castner. Reaching Those in Need: State Supplemental Nutrition Assistance Program Participation Rates in 2007. Alexandria, VA: U.S. Department of Agriculture, Food and Nutrition Service, November 2009. Leftin, Joshua. Trends in Supplemental Nutrition Assistance Program Participation Rates: 2001 to 2008. In Current Perspectives on SNAP Participation. Alexandria, VA: Food and Nutrition Service, U.S. Department of Agriculture, June 2010. Produced by Mathematica Policy Research, for the Food and Nutrition Service under contract no. AG-3198-K-09-0035.