Health Outcomes

Obesity Prevalence by County — US Rankings

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

Obesity is reported as the share of adults whose self-reported height and weight produce a BMI of 30 or higher. PLACES age-adjusts to the 2000 US population so a retirement-heavy county is not confounded with a college town. Self-report introduces a known downward bias (people underreport weight, overreport height), but the bias is roughly uniform across counties, so rankings are usable even though the absolute level is conservative. The highest-prevalence counties have clustered for years in the Black Belt across Alabama and Mississippi and in central Appalachia — a pattern that tracks poverty, food access, and historical labor patterns more than any single behavioral choice.

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 Obesity Rates — Top 100 Counties

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

#CountyRate
1San Francisco County17.1%
2Boulder County17.4%
3Summit County19.3%
4New York County19.5%
5Pitkin County20.3%
6La Plata County20.8%
7Marin County21.3%
8Denver County21.6%
9Santa Clara County21.9%
10San Mateo County22.0%
11Broomfield County22.1%
12King County22.4%
13Alameda County22.5%
14Park County22.5%
15Morris County22.6%
16Ouray County22.8%
17Jefferson County22.9%
18Routt County23.0%
19Blaine County23.1%
20Clear Creek County23.2%
21Teller County23.4%
22Norfolk County23.4%
23Teton County23.5%
24Eagle County23.6%
25Chittenden County23.6%
26Lake County23.7%
27Summit County23.7%
28Garfield County23.8%
29Grand County23.8%
30Middlesex County23.8%
31Queens County23.8%
32Fairfax County23.8%
33Orange County23.9%
34Hinsdale County23.9%
35Gallatin County24.0%
36Elbert County24.1%
37Gilpin County24.1%
38Kauai County24.1%
39Wasatch County24.1%
40Larimer County24.4%
41Hampshire County24.4%
42Douglas County24.6%
43Gunnison County24.7%
44San Juan County24.8%
45Kings County25.0%
46Mineral County25.1%
47District of Columbia25.1%
48Los Alamos County25.1%
49Morgan County25.1%
50Suffolk County25.2%
51Arlington County25.2%
52Coconino County25.3%
53San Miguel County25.3%
54Dukes County25.3%
55San Diego County25.4%
56Chaffee County25.4%
57Bergen County25.4%
58Monroe County25.5%
59Mercer County25.5%
60Western Connecticut Planning Region25.6%
61Ventura County25.7%
62San Juan County25.8%
63Somerset County25.8%
64Arapahoe County25.9%
65Montgomery County25.9%
66Santa Fe County25.9%
67Westchester County25.9%
68Honolulu County26.0%
69Hunterdon County26.0%
70Bristol County26.0%
71Windham County26.0%
72Sonoma County26.1%
73Franklin County26.1%
74Maui County26.2%
75Custer County26.3%
76Los Angeles County26.4%
77Grafton County26.5%
78Sussex County26.5%
79Washington County26.6%
80Rio Blanco County26.7%
81Cumberland County26.7%
82Santa Cruz County26.8%
83Forsyth County26.8%
84Barnstable County26.8%
85Deschutes County26.8%
86Delta County26.9%
87Nantucket County26.9%
88Missoula County26.9%
89Dolores County27.1%
90Hennepin County27.1%
91Washington County27.1%
92Placer County27.2%
93Archuleta County27.2%
94Palm Beach County27.3%
95Douglas County27.3%
96Putnam County27.3%
97Loudoun County27.3%
98Whatcom County27.3%
99El Dorado County27.4%
100Indian River County27.5%

Best 100 counties for Obesity.

Highest Obesity Rates — Bottom 100 CountiesCounties with the highest reported obesity prevalence.
#CountyRate
1Perry County54.0%
2Greene County53.4%
3Humphreys County53.0%
4Wilcox County51.9%
5Jefferson County51.7%
6East Carroll Parish51.7%
7Holmes County51.5%
8Lowndes County51.3%
9Quitman County51.1%
10Bullock County51.0%
11Tunica County50.8%
12Sharkey County50.5%
13Claiborne County50.5%
14Todd County50.2%
15Rolette County50.2%
16Yazoo County50.2%
17Madison Parish50.1%
18Sumter County50.0%
19Sioux County49.7%
20Tensas Parish49.2%
21Macon County49.1%
22Buffalo County49.0%
23Sunflower County48.9%
24Claiborne Parish48.9%
25Phillips County48.6%
26Zavala County48.2%
27Robeson County48.1%
28Pickens County48.0%
29Clay County47.9%
30St. Francis County47.9%
31Hale County47.8%
32Dimmit County47.7%
33Oglala Lakota County47.7%
34Mississippi County47.7%
35Wilkinson County47.7%
36Ziebach County47.6%
37Bienville Parish47.6%
38Chicot County47.4%
39Lake County47.3%
40Issaquena County47.3%
41Cass County47.3%
42Lauderdale County47.2%
43Lafourche Parish47.2%
44Sequoyah County47.1%
45Coahoma County47.1%
46Barbour County47.1%
47Lee County47.0%
48Kusilvak Census Area47.0%
49Allendale County46.9%
50McMinn County46.8%
51Bolivar County46.8%
52Crittenden County46.8%
53Conecuh County46.8%
54Mississippi County46.7%
55Petersburg city46.6%
56Haywood County46.6%
57Desha County46.6%
58Pike County46.5%
59Noxubee County46.5%
60Randolph County46.5%
61Dallas County46.5%
62Osage County46.4%
63Dunklin County46.4%
64Panola County46.4%
65Thurston County46.3%
66Lincoln Parish46.3%
67Lafayette County46.3%
68Jefferson County46.3%
69Montgomery County46.3%
70Randolph County46.2%
71Boone County46.2%
72Mellette County46.2%
73McDowell County46.1%
74Adair County46.1%
75Lawrence County46.1%
76Grenada County46.1%
77Winn Parish46.0%
78Hopewell city45.9%
79Concordia Parish45.9%
80Forest County45.8%
81Lunenburg County45.8%
82Starr County45.8%
83Jefferson Davis County45.8%
84Hempstead County45.8%
85Cabell County45.7%
86Sussex County45.7%
87Jim Hogg County45.7%
88Ashtabula County45.7%
89Pulaski County45.7%
90Fairfield County45.6%
91Darlington County45.6%
92Okfuskee County45.6%
93Richardson County45.6%
94Kemper County45.6%
95Washington Parish45.6%
96Choctaw County45.5%
97Scotland County45.5%
98Menominee County45.4%
99Seminole County45.4%
100Amite County45.4%

Worst 100 counties for Obesity.

What this ranking suggests

Obesity rankings are one of the most widely cited public-health surfaces — and one of the easiest to misread. Treat the value as a marker for an environment (food access, walkability, income), not a verdict on residents. The food-insecurity and physical-inactivity rankings on this site sit upstream of obesity outcomes.

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: OBESITY.

← All rankings