County ranking · Census ACS 2024

Highest SNAP participation by county

The 100 U.S. counties where the largest share of households receive SNAP, the federal nutrition program, and how that maps onto food-access conditions. From the Census American Community Survey.

12.1%
U.S. average SNAP
51.4%
highest county
3,144
counties ranked

The verdict

Kusilvak Census Area, AK leads with 51.4% of households on SNAP, against a national average of 12.1%.

0.0%
Kusilvak Census Area low-access
67.6M
low-access residents, U.S.
9,228
food-desert tracts, U.S.
6.1%
U.S. in food deserts

High SNAP participation is one of the strongest county-level signals of the low-income condition behind food deserts.

How SNAP participation is measured

SNAP, the Supplemental Nutrition Assistance Program, is administered by the U.S. Department of Agriculture's Food and Nutrition Service and operated state-by-state. Counties do not publish SNAP enrollment directly. Instead, the Census Bureau American Community Survey 5-Year Estimates ask a sample of households whether anyone received SNAP benefits in the previous 12 months, and the survey weights that response to produce a county-level estimate. The "SNAP %" column on this ranking is the share of households with at least one SNAP recipient over the previous 12 months, drawn from Census Table B22010 and aligned to the USDA Food Access Research Atlas county geography.

High-SNAP counties cluster in three regions of the United States. The Mississippi Delta, especially southern and western Mississippi and the Arkansas and Louisiana delta counties, ranks at the top by a wide margin. Native American reservations in the Plains and the Southwest follow, where median household incomes are below the federal poverty line and a substantial share of households qualify automatically. Appalachian counties in eastern Kentucky and West Virginia round out the top tier. In all three regions, SNAP participation tracks long-running structural poverty rather than a short-term cyclical downturn. Counties whose SNAP rate moves up or down sharply between ACS vintages usually do so because of an economic shock – a plant closure, a major hurricane, or a regional labor market collapse – rather than a sustained policy shift.

SNAP participation is one of the cleanest practical proxies for food insecurity at the county level. It is the same low-income signal the USDA layers on top of distance-to-supermarket to designate a "food desert" tract. That is why this ranking surfaces three additional columns alongside the SNAP rate: the official Census poverty rate, the share of population living in a USDA low-access tract, and the total number of SNAP households in absolute terms. A county that combines a high SNAP rate with a high low-access share is the canonical food desert profile, and that overlap is the actionable signal local agencies use to site supermarkets, subsidize SNAP-accepting retailers, or expand mobile food markets.

SNAP eligibility rules vary slightly by state, especially around asset tests and broad-based categorical eligibility. That state-level variation explains some of the spread between otherwise similar counties on either side of a state line. To read a single county in context, the per-county detail pages linked from the table below break out income, poverty, no-vehicle households, and low-access tracts on the same row as the SNAP figure, which lets a researcher reproduce the food desert overlap without leaving the page. The data citation at the bottom of this page lists every upstream URL.

Reading SNAP participation alongside the absolute SNAP household count is also useful, because a small rural county at sixty-percent SNAP participation may still have fewer total SNAP households than a large suburban county at twelve-percent participation. That distinction matters when local agencies design outreach and benefits-access programs: the percentage column flags how saturated a community is with the program, while the absolute count flags how many households the operational footprint needs to serve. Counties near the top of this list with both a high participation rate and a high absolute count are the largest leverage points for SNAP-accepting retailer expansion and for evaluating whether nearby supermarkets are equipped to process SNAP electronic benefit transfer transactions efficiently. The combination of percentage, absolute count, low-access overlap, and poverty rate on the same row is the canonical view food-policy researchers and state SNAP administrators use to identify counties where the program is doing the most work to close the food access gap.

Comparing this list to the worst-food-deserts ranking is instructive. The two lists overlap heavily but not perfectly. Counties that score high on both rankings are the canonical food desert profile: poverty, SNAP saturation, and structural distance to grocery stores reinforce each other. Counties that score high on SNAP but moderate on low-access tend to be dense urban tracts where supermarkets fall inside the one-mile urban threshold even though household incomes are low – the food access problem is more about price and product mix than geographic distance. Counties that score high on low-access but moderate on SNAP tend to be sparsely populated rural counties where the ten-mile threshold catches a wide swath of the land area but the resident population is small and stable enough that absolute SNAP household counts stay manageable. Reading the two rankings side by side is the cleanest way to distinguish a rural-distance food access problem from a low-income urban food access problem, and the per-county detail pages linked from the table below surface the indicators needed to make that distinction without leaving PlainFoodAccess.

The 15 highest-SNAP counties

Share of households receiving SNAP, ranked

% on SNAP

What this shows High-SNAP counties cluster in the Mississippi Delta, on Native American reservations in the Plains and Southwest, and in Appalachia, the same regions that anchor long-running structural poverty. The full 100-county table follows.

Source U.S. Census Bureau, American Community Survey As of 2024 5-year
# County SNAP
1 Kusilvak Census Area Alaska 51.4%
2 Oglala Lakota County South Dakota 49.5%
3 Starr County Texas 42.5%
4 Bethel Census Area Alaska 42.4%
5 Guadalupe County New Mexico 40.7%
6 Zavala County Texas 40.6%
7 Todd County South Dakota 40.2%
8 Randolph County Georgia 39.4%
9 Bronx County New York 38.6%
10 Owsley County Kentucky 37.8%
11 McKinley County New Mexico 37.7%
12 Magoffin County Kentucky 37.2%
13 Wilcox County Alabama 37.0%
14 Sioux County North Dakota 36.8%
15 Wolfe County Kentucky 36.5%
16 McDowell County West Virginia 36.5%
17 Mingo County West Virginia 36.5%
18 Dallas County Alabama 36.2%
19 Northwest Arctic Borough Alaska 35.8%
20 Brooks County Texas 35.7%
21 Hancock County Tennessee 34.8%
22 Clay County Kentucky 34.7%
23 Breathitt County Kentucky 34.5%
24 Calhoun County Georgia 34.3%
25 Taylor County Georgia 34.1%
26 Emporia city Virginia 34.1%
27 Bullock County Alabama 34.0%
28 Washington County North Carolina 33.9%
29 Claiborne Parish Louisiana 33.8%
30 Anson County North Carolina 33.8%
31 Stewart County Georgia 33.7%
32 Perry County Alabama 33.5%
33 McCreary County Kentucky 33.3%
34 Sunflower County Mississippi 33.1%
35 Holmes County Mississippi 33.0%
36 Robeson County North Carolina 32.6%
37 Clay County West Virginia 32.6%
38 Webster County West Virginia 32.6%
39 Turner County Georgia 32.5%
40 Phillips County Arkansas 32.1%
41 Greene County Alabama 31.9%
42 Knox County Kentucky 31.9%
43 Willacy County Texas 31.9%
44 Tensas Parish Louisiana 31.8%
45 Lake County Tennessee 31.8%
46 Scotland County North Carolina 31.6%
47 Noxubee County Mississippi 31.3%
48 Zapata County Texas 31.3%
49 Evangeline Parish Louisiana 31.2%
50 Jim Hogg County Texas 30.8%
51 St. Helena Parish Louisiana 30.7%
52 Pemiscot County Missouri 30.7%
53 Jackson County Kentucky 30.6%
54 Sumter County Alabama 30.5%
55 Apache County Arizona 30.5%
56 Quay County New Mexico 30.5%
57 Madison Parish Louisiana 30.4%
58 Luna County New Mexico 30.1%
59 Morehouse Parish Louisiana 30.0%
60 Hancock County Georgia 29.8%
61 Cottle County Texas 29.8%
62 Norton city Virginia 29.7%
63 East Carroll Parish Louisiana 29.6%
64 Nome Census Area Alaska 29.4%
65 Washington County Georgia 29.4%
66 Lake and Peninsula Borough Alaska 29.3%
67 Martin County Kentucky 29.2%
68 San Miguel County New Mexico 29.2%
69 Costilla County Colorado 29.1%
70 Leslie County Kentucky 29.1%
71 Halifax County North Carolina 29.1%
72 Dougherty County Georgia 29.0%
73 Lowndes County Alabama 28.9%
74 Imperial County California 28.7%
75 Webster County Georgia 28.7%
76 Lee County Kentucky 28.7%
77 Allendale County South Carolina 28.7%
78 Maverick County Texas 28.7%
79 Alamosa County Colorado 28.6%
80 Hamilton County Florida 28.6%
81 Perry County Kentucky 28.6%
82 Richmond County North Carolina 28.6%
83 Franklin city Virginia 28.5%
84 Humphreys County Mississippi 28.4%
85 Tunica County Mississippi 28.3%
86 Malheur County Oregon 28.3%
87 Washington Parish Louisiana 28.2%
88 Lee County Virginia 28.2%
89 Leflore County Mississippi 28.1%
90 Dillingham Census Area Alaska 27.9%
91 Telfair County Georgia 27.9%
92 Avoyelles Parish Louisiana 27.9%
93 Logan County West Virginia 27.9%
94 Hale County Alabama 27.8%
95 Lee County Arkansas 27.8%
96 Esmeralda County Nevada 27.8%
97 Hertford County North Carolina 27.8%
98 Hidalgo County Texas 27.8%
99 Cumberland County Kentucky 27.6%
100 Letcher County Kentucky 27.5%

The bar beside each SNAP value scales to 100%. Showing the top 100 of 3,144 U.S. counties.

Source: USDA Economic Research Service, U.S. Census Bureau American Community Survey USDA Economic Research Service, U.S. Census Bureau American Community Survey

Data current as of (most recent source-data vintage; figures reflect the 2019 USDA Atlas and 2024 Census ACS).