Health-Related Social Needs

Food Insecurity by County — US Rankings

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

Food insecurity is captured in BRFSS as adults reporting they were worried about or actually ran out of food in the past 12 months. PLACES models county-level estimates and age-adjusts. The county pattern tracks income, SNAP enrollment, and grocery access. USDA also publishes its own food-insecurity rate via the Food Environment Atlas using a different methodology; the two estimates correlate strongly but do not exactly match.

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 Food Insecurity Rates — Top 100 Counties

Counties with the lowest reported food insecurity prevalence — these counties show the most favorable position on this measure.

#CountyRate
1Falls Church city5.9%
2Los Alamos County6.9%
3Arlington County7.1%
4Hamilton County7.6%
5Johnson County7.7%
6Delaware County7.8%
7Oconee County7.9%
8Morgan County7.9%
9Summit County7.9%
10Ozaukee County8.0%
11Waukesha County8.2%
12Dallas County8.3%
13Carver County8.3%
14Hunterdon County8.4%
15Cumberland County8.5%
16Loudoun County8.5%
17Forsyth County8.6%
18Gallatin County8.6%
19Poquoson city8.6%
20Washington County8.8%
21St. Charles County8.8%
22Rockingham County8.8%
23Albemarle County8.8%
24Goochland County8.8%
25Monroe County8.9%
26Morris County8.9%
27Burleigh County8.9%
28Wasatch County8.9%
29Nantucket County9.0%
30Bristol County9.0%
31Boone County9.1%
32Warren County9.1%
33St. Croix County9.1%
34Livingston County9.3%
35Warren County9.3%
36Washington County9.3%
37Washington County9.3%
38Fairfax County9.4%
39Warrick County9.5%
40Carroll County9.5%
41Leelanau County9.5%
42Sarpy County9.5%
43Washington County9.5%
44Cass County9.5%
45Oliver County9.5%
46Union County9.5%
47Davis County9.5%
48York County9.5%
49Dane County9.5%
50Winneshiek County9.6%
51Wright County9.6%
52Carroll County9.6%
53Saratoga County9.6%
54Dare County9.6%
55Burke County9.6%
56Traill County9.6%
57Medina County9.6%
58Hanover County9.6%
59Grundy County9.7%
60York County9.7%
61Howard County9.7%
62Dukes County9.7%
63Platte County9.7%
64Newport County9.7%
65James City County9.7%
66Marin County9.8%
67Bremer County9.8%
68Madison County9.8%
69Mills County9.8%
70Barnstable County9.8%
71Middlesex County9.8%
72Norfolk County9.8%
73Dodge County9.8%
74Saunders County9.8%
75Monmouth County9.8%
76Cavalier County9.8%
77Door County9.8%
78Dickinson County9.9%
79Pottawatomie County9.9%
80Lincoln County9.9%
81Scott County9.9%
82Kearney County9.9%
83Merrimack County9.9%
84Geauga County9.9%
85Clarke County9.9%
86Marion County10.0%
87Knox County10.0%
88Dakota County10.0%
89Lewis and Clark County10.0%
90Logan County10.0%
91Seward County10.0%
92Calumet County10.0%
93Hancock County10.1%
94Miami County10.1%
95Olmsted County10.1%
96Jefferson County10.1%
97Missoula County10.1%
98Cass County10.1%
99Powhatan County10.1%
100Ada County10.2%

Best 100 counties for Food Insecurity.

Highest Food Insecurity Rates — Bottom 100 CountiesCounties with the highest reported food insecurity prevalence.
#CountyRate
1East Carroll Parish46.8%
2Kusilvak Census Area45.8%
3Greene County44.4%
4Bullock County44.0%
5Humphreys County43.6%
6McKinley County43.0%
7Holmes County43.0%
8Tunica County42.7%
9Sioux County42.6%
10Madison Parish42.6%
11Perry County41.9%
12Sharkey County41.5%
13Quitman County40.7%
14Jefferson County40.4%
15Wilcox County40.4%
16Lowndes County40.3%
17Claiborne Parish40.0%
18Claiborne County39.9%
19Coahoma County39.3%
20Leflore County38.4%
21Tensas Parish38.3%
22Bronx County37.5%
23Washington County37.3%
24Noxubee County37.3%
25Randolph County37.3%
26Sunflower County37.2%
27Bethel Census Area37.0%
28Issaquena County36.9%
29Desha County36.6%
30Allendale County36.2%
31Yazoo County36.2%
32Macon County36.2%
33Hancock County36.0%
34Phillips County36.0%
35Dallas County35.9%
36Morehouse Parish35.4%
37Marion County35.3%
38Luna County35.2%
39Bienville Parish35.1%
40Dillon County35.0%
41Apache County35.0%
42Marlboro County34.7%
43Lee County34.6%
44Wilkinson County34.5%
45Stewart County34.5%
46Bolivar County34.4%
47Sumter County34.1%
48Concordia Parish33.7%
49Terrell County33.7%
50Telfair County33.6%
51St. Helena Parish33.4%
52Red River Parish33.2%
53Macon County33.2%
54Lee County33.1%
55Jefferson Davis County33.1%
56St. Francis County33.1%
57Adams County32.9%
58Conecuh County32.8%
59Tallahatchie County32.6%
60Glacier County32.4%
61Chicot County32.2%
62Northwest Arctic Borough32.1%
63Barbour County32.1%
64Barnwell County32.0%
65Atkinson County32.0%
66Dougherty County31.9%
67Williamsburg County31.8%
68Nome Census Area31.8%
69Pike County31.6%
70Hale County31.6%
71Webster Parish31.5%
72Lafayette County31.5%
73Hampton County31.4%
74Adair County31.4%
75Orangeburg County31.3%
76Imperial County31.3%
77Robeson County31.2%
78St. Landry Parish31.2%
79Rolette County31.1%
80Jenkins County31.0%
81Calhoun County31.0%
82Halifax County30.9%
83Clay County30.9%
84Avoyelles Parish30.9%
85Franklin Parish30.8%
86Baker County30.8%
87Scott County30.7%
88Yukon-Koyukuk Census Area30.6%
89Clayton County30.5%
90Quitman County30.4%
91Emporia city30.3%
92Panola County30.3%
93Treutlen County30.3%
94Taylor County30.3%
95McDowell County30.2%
96Big Horn County30.1%
97Catahoula Parish30.0%
98Ben Hill County29.9%
99Escambia County29.9%
100Winston County29.7%

Worst 100 counties for Food Insecurity.

What this ranking suggests

Food insecurity is one of the cleanest upstream measures in the dataset. Counties at the top of this ranking tend to also score high on diabetes, obesity, and child-development concerns measured outside PLACES. Read alongside the SNAP-enrollment ranking — high SNAP and high food insecurity often coexist, and that combination signals binding constraint rather than over-enrollment.

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: FOODINSECU.

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