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Benefits Participation Map

Benefits programs can help low-income people afford daily necessities like food, health care, and utilities. But millions of older adults who are eligible for these programs are not enrolled. This tool shows program participation rates for adults age 65+ nationally and by state and county.

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Comparison Charts: Participation by Jurisdiction

Select up to 5 jursidictions to see comparison charts

Comparison Table: Participation by State

JurisdictionSNAPSSIMSP
StateCountyParticipationEligible Non-ParticipantsParticipationEligible Non-ParticipantsParticipationEligible Non-Participants
AlabamaTotal35.5%97,94244.5%34,74041.8%131,635
AlaskaTotal47.2%5,45382%73148.9%7,274
ArizonaTotal17.5%258,07040.2%47,66538%178,215
ArkansasTotal27.3%53,69641.6%20,34429.6%78,389
CaliforniaTotal16.7%1,049,65858.7%403,05765.3%484,601
ColoradoTotal18.5%168,38337.2%31,73832.5%89,941
ConnecticutTotal39%82,13041.1%22,91140.5%157,367
DelawareTotal24.6%28,31930.6%6,59638.7%18,588
District of ColumbiaTotal36.6%15,77444%6,70840.7%25,281
FloridaTotal37.8%858,15848.6%221,89748.9%504,732
GeorgiaTotal25.5%343,34445.3%67,68338.8%198,771
HawaiiTotal28.7%53,00247.5%9,87942.8%31,705
IdahoTotal33.3%23,15125.4%13,35936.9%31,873
IllinoisTotal30.2%395,20642.2%89,76542.8%182,784
IndianaTotal29.5%87,81527.3%42,31828.1%201,045
IowaTotal17%90,75227.3%20,21933.5%54,355
KansasTotal28.9%35,58232.9%14,69936.6%40,058
KentuckyTotal18.5%198,55059.3%21,87841.5%90,974
LouisianaTotal34.1%91,12243.1%42,66356.8%79,320
MaineTotal28.7%56,40936.3%10,07247.8%44,557
MarylandTotal34.1%134,39242.7%36,79750.5%69,928
MassachusettsTotal48%120,56162.9%31,04763.5%69,249
MichiganTotal25.8%277,12044.4%62,67954.4%115,026
MinnesotaTotal18.6%157,04947.3%25,52141.4%69,474
MississippiTotal30.8%67,67453.7%19,50644.9%79,498
MissouriTotal32.2%89,59835.5%36,64431.7%125,247
MontanaTotal22.5%28,85026.3%9,59732.1%22,988
NebraskaTotal25.2%31,85631.4%10,71128%29,584
NevadaTotal27.1%96,16337.2%26,10340.2%57,876
New HampshireTotal25.1%20,28621.4%8,12128.9%20,673
New JerseyTotal34.2%224,93549.6%60,13449%125,945
New MexicoTotal35.7%67,70345.1%21,36032.4%60,400
New YorkTotal43.9%579,47565.2%120,74254%362,577
North CarolinaTotal17.9%432,22140.1%65,88240.2%205,550
North DakotaTotal20.9%15,60620.6%5,80720.6%13,426
OhioTotal18.3%467,08939.8%74,77733.2%225,945
OklahomaTotal37%64,55636.9%26,03939.1%72,981
OregonTotal37.6%112,83848.3%21,39537.8%102,310
PennsylvaniaTotal31.3%461,07050.2%69,09447.7%206,888
Rhode IslandTotal50.8%26,89847.7%8,40943%21,597
South CarolinaTotal18.4%230,11336.3%38,94237.7%118,544
South DakotaTotal28.5%13,73537.8%5,05637.8%14,608
TennesseeTotal43%88,03148.2%34,70939.5%136,493
TexasTotal38.2%500,47546.3%208,51846.1%456,538
UtahTotal29.5%23,07735.4%10,15933%24,795
VermontTotal30.4%24,40529.4%6,32739.3%18,075
VirginiaTotal37.4%109,53634.8%64,48932.4%163,412
WashingtonTotal38%166,02856%29,36167.1%49,406
West VirginiaTotal23.2%93,98346.9%13,70835.2%39,705
WisconsinTotal20.8%222,34636.7%31,52640.2%76,262
WyomingTotal21.8%7,50825.8%2,89921.6%11,848
NationalTotal29.8%8,947,69349%2,314,97846.4%5,798,314

Frequently Asked Questions:

How are participation rates calculated for this tool?
Participation rates are determined using program administrative data and the Urban Institute's Analysis of Transfers, Taxes, and Income Security (ATTIS) microsimulation model. These rates are calculated by dividing the number of program participants aged 65 and over in a geographic area by the estimated number of eligible individuals in that area.
At what level are participation rates calculated?
For counties with larger populations, participation rates are calculated at the county level. For smaller counties, rates are calculated for groups of counties to ensure reliable estimates.
Does the tool provide information on eligible individuals who are not participating in programs?
Yes. For counties that do not need to be grouped, the tool includes estimates of "eligible non-participants", representing older adults who qualify for a program but are not currently receiving benefits.
What data is used to estimate program eligibility?
Program eligibility estimates come from the ATTIS microsimulation model, which applies detailed program eligibility rules—including federal guidelines and state-specific variations—to individuals in the American Community Survey (ACS) data.
What version of ACS data is used for eligibility estimates?
The analysis uses the 2018 1-year ACS data file, which provides social and economic details on over 1 million U.S. households. This allows for accurate state and substate eligibility estimates.
Why are some counties grouped together instead of reported individually?
The public-use ACS data does not identify all counties due to sample size limitations. To ensure reliable data, we use the Missouri Census Data Center's Geographic Correspondence Engine (GEOCORR) to identify individual counties or group them where necessary.
Where does the program enrollment data come from?

Each program's enrollment data comes from different sources:

  • SNAP (Supplemental Nutrition Assistance Program): The Food and Nutrition Service's publicly available county-level participant counts for July 2018 are used to estimate participants aged 65+ in each state and county.
  • SSI (Supplemental Security Income): County-level enrollment data for adults 65+ is obtained from the Social Security Administration's December 2018 SSI Recipients by State and County report.
  • MSP (Medicare Savings Programs): Enrollment data for adults 65+ is from December 2018, provided by the Center for Medicare & Medicaid Services (CMS).
Where can I find more details about the data sources and methods used?
For a more detailed explanation of the data sources and methodology, please refer to the Technical Report.

Our Partner

This work was supported by grant 90MINC0002-03-00 from the U.S. Administration for Community Living, U.S. Department of Health and Human Services.

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