healthbycounty

Health-Related Social Needs

SNAP Enrollment by County — US Rankings

CDC PLACES 2023 · Age-adjusted prevalence · All 3,144 US counties

PLACES reports the share of adults who report receiving SNAP (food stamps) in the past 12 months. The measure tracks program reach more than program need — a county can have high food insecurity and low SNAP uptake (under-enrollment) or low food insecurity and high SNAP uptake (program working as designed). The two should be read together. USDA Food and Nutrition Service publishes administrative SNAP data, which is more authoritative for absolute counts but does not match BRFSS methodology.

How this ranking is built

Source: CDC PLACES 2023 release. Methodology: BRFSS survey responses pooled across years, fitted with a small-area statistical model, age-adjusted to the 2000 US standard population. Confidence intervals (95%) are shown for each county — wider intervals indicate more uncertainty in the modeled estimate, typically driven by smaller populations.

Lowest Receiving Food Stamps / SNAP Rates — Top 100 Counties

Counties with the lowest reported receiving food stamps / snap prevalence — these counties show the most favorable position on this measure.

#CountyRate
1Hamilton County3.6%
2Johnson County3.8%
3Summit County3.8%
4Falls Church city3.8%
5Morgan County4.0%
6Boone County4.5%
7Hunterdon County4.5%
8Wasatch County4.5%
9Los Alamos County4.6%
10Morris County4.7%
11Davis County4.9%
12Arlington County4.9%
13Forsyth County5.1%
14Oconee County5.1%
15Warrick County5.1%
16Carver County5.2%
17Loudoun County5.2%
18Somerset County5.3%
19Delaware County5.3%
20Hancock County5.5%
21Pottawatomie County5.5%
22Washington County5.5%
23Rockingham County5.5%
24Burke County5.5%
25Burleigh County5.5%
26Oliver County5.5%
27Hendricks County5.6%
28Hodgeman County5.6%
29Jefferson County5.6%
30Miami County5.6%
31Utah County5.6%
32Trego County5.7%
33St. Charles County5.8%
34Gallatin County5.8%
35Bergen County5.8%
36Monmouth County5.8%
37Sussex County5.8%
38Cavalier County5.8%
39Traill County5.9%
40Tooele County5.9%
41Sheridan County6.0%
42Sarpy County6.0%
43Cass County6.0%
44Johnson County6.1%
45Leavenworth County6.1%
46McPherson County6.1%
47Thomas County6.1%
48Wabaunsee County6.1%
49Morton County6.1%
50Fairfax County6.1%
51Dallas County6.2%
52McLean County6.2%
53Beaver County6.2%
54Salt Lake County6.2%
55Greeley County6.3%
56Scott County6.3%
57Nelson County6.3%
58Renville County6.3%
59Ward County6.3%
60Dearborn County6.4%
61Howard County6.4%
62Wright County6.4%
63Griggs County6.4%
64Gove County6.5%
65Jefferson County6.5%
66Washington County6.5%
67Foster County6.5%
68Sargent County6.5%
69Weber County6.5%
70Benton County6.6%
71Ada County6.6%
72Posey County6.6%
73Union County6.6%
74Butler County6.6%
75Dodge County6.6%
76Saunders County6.6%
77Bottineau County6.6%
78Warren County6.6%
79Kane County6.6%
80Washington County6.6%
81Albemarle County6.6%
82Poquoson city6.6%
83Blaine County6.7%
84Teton County6.7%
85Decatur County6.7%
86Ellsworth County6.7%
87Nemaha County6.7%
88Dakota County6.7%
89Kearney County6.7%
90Hillsborough County6.7%
91Bowman County6.7%
92Garfield County6.7%
93Goochland County6.7%
94Brown County6.8%
95Porter County6.8%
96Spencer County6.8%
97Dickinson County6.8%
98Douglas County6.8%
99Scott County6.8%
100Smith County6.8%

Best 100 counties for Receiving Food Stamps / SNAP.

Highest Receiving Food Stamps / SNAP Rates — Bottom 100 CountiesCounties with the highest reported receiving food stamps / snap prevalence.
#CountyRate
1East Carroll Parish46.6%
2Madison Parish43.1%
3Greene County42.2%
4Bullock County40.4%
5McKinley County39.8%
6Perry County39.6%
7Claiborne Parish39.4%
8Kusilvak Census Area38.9%
9Randolph County38.1%
10Tensas Parish37.7%
11Lowndes County37.0%
12Wilcox County36.4%
13McDowell County36.2%
14Sioux County35.2%
15Humphreys County34.8%
16Bienville Parish34.5%
17Macon County34.5%
18Hancock County34.1%
19Holmes County33.9%
20Morehouse Parish33.6%
21Tunica County33.3%
22Dallas County33.3%
23Terrell County32.5%
24Bronx County32.4%
25Sharkey County32.4%
26Concordia Parish32.3%
27Luna County32.0%
28Quitman County31.8%
29Mingo County31.6%
30St. Helena Parish31.1%
31Telfair County31.1%
32Robeson County30.9%
33Red River Parish30.9%
34Dougherty County30.9%
35Coahoma County30.5%
36Webster Parish30.3%
37Jefferson County30.2%
38Pulaski County30.2%
39Stewart County30.0%
40Claiborne County29.9%
41Sumter County29.9%
42Calhoun County29.8%
43Danville city29.7%
44Petersburg city29.6%
45Emporia city29.6%
46Taylor County29.6%
47Baker County29.6%
48Phillips County29.6%
49Bethel Census Area29.6%
50St. Landry Parish29.5%
51Apache County29.5%
52Hopewell city29.4%
53Halifax County29.4%
54Treutlen County29.3%
55Franklin Parish29.2%
56Alexander County29.1%
57Jenkins County29.1%
58Desha County29.1%
59Leflore County29.0%
60Avoyelles Parish28.9%
61Conecuh County28.8%
62Imperial County28.7%
63Quitman County28.6%
64Scotland County28.5%
65Atkinson County28.5%
66Menominee County28.3%
67Washington County28.3%
68Ben Hill County28.3%
69Crisp County28.1%
70Martinsville city28.0%
71Washington County27.9%
72Turner County27.9%
73Calhoun County27.8%
74Macon County27.8%
75Clay County27.5%
76Adair County27.4%
77Hertford County27.3%
78Talbot County27.2%
79Marion County27.1%
80Dillon County27.1%
81Pemiscot County27.1%
82Allendale County26.9%
83Catahoula Parish26.9%
84Glacier County26.8%
85Jefferson County26.8%
86Okfuskee County26.7%
87Bertie County26.7%
88Noxubee County26.7%
89Early County26.7%
90Anson County26.6%
91Richland Parish26.6%
92Brooks County26.6%
93Madera County26.6%
94Hale County26.6%
95Warren County26.5%
96Evangeline Parish26.5%
97Clayton County26.5%
98Sunflower County26.4%
99Lee County26.4%
100Edgecombe County26.3%

Worst 100 counties for Receiving Food Stamps / SNAP.

What this ranking suggests

SNAP enrollment is one of the few PLACES measures where "high" is neither inherently good nor bad — it is a use-rate, not an outcome. The signal lives in the gap between this ranking and the food-insecurity ranking. The two together describe whether a county's safety net is reaching the residents who need it.

Methodology notes & limitations

Estimates are statistical model outputs, not direct measurements. Small counties have wider confidence intervals; treat narrow rank differences in those rows as within-noise. Counties where the underlying population is too small to support modeling are suppressed entirely (about 1% of US counties). All measures are age-adjusted to the 2000 US standard population. The PLACES dataset uses BRFSS self-reported data — self-report introduces known direction-of-bias in some measures (BMI is under-reported; binge drinking is under-reported), but the bias is roughly uniform across counties so ranking comparability is preserved. See the methodology page for full data-pipeline documentation.

By Logan Johnson, Founder & Data EditorPublished Reviewed by Logan Johnson, Founder & Data Editor

Data source: CDC PLACES 2023 release. Measure ID: FOODSTAMP.

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