Health Outcomes

Diabetes Prevalence by County — US Rankings

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

Diagnosed diabetes among adults is the single PLACES measure most closely tracked by CMS, state Medicaid agencies, and the CDC Division of Diabetes Translation. The age-adjusted county estimate counts adults ever told by a healthcare professional they had diabetes — almost all Type 2 in adult populations, with a small share of Type 1. The county pattern closely follows the obesity ranking and the lower-Mississippi-Delta-and-central-Appalachia geography that has shown up in BRFSS data for two decades. High-prevalence counties often have proportionally lower diabetes-care-management uptake, though PLACES does not directly measure HbA1c control.

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 Diabetes Rates — Top 100 Counties

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

#CountyRate
1Douglas County6.0%
2Chittenden County6.2%
3Hinsdale County6.4%
4Broomfield County6.5%
5Pitkin County6.5%
6Addison County6.5%
7Ouray County6.6%
8Boulder County6.7%
9Los Alamos County6.7%
10Clear Creek County6.8%
11Routt County6.8%
12Lamoille County6.8%
13Elbert County6.9%
14Larimer County6.9%
15Grand Isle County6.9%
16Windsor County6.9%
17Carroll County7.0%
18Hunterdon County7.0%
19San Juan County7.0%
20Gunnison County7.1%
21San Miguel County7.1%
22Teller County7.1%
23Barnstable County7.1%
24Rockingham County7.1%
25Washington County7.1%
26Washington County7.1%
27Grand County7.2%
28Jefferson County7.2%
29Park County7.2%
30Summit County7.2%
31Nantucket County7.2%
32Gallatin County7.2%
33Summit County7.2%
34Orange County7.2%
35Windham County7.2%
36King County7.2%
37Gilpin County7.3%
38Mineral County7.3%
39Lower Connecticut River Valley Planning Region7.3%
40Dukes County7.3%
41Carver County7.3%
42Madison County7.3%
43Ravalli County7.3%
44Bennington County7.3%
45Teton County7.3%
46Western Connecticut Planning Region7.4%
47Cumberland County7.4%
48Hennepin County7.4%
49Flathead County7.4%
50Merrimack County7.4%
51Morris County7.4%
52Wasatch County7.4%
53Marin County7.5%
54Eagle County7.5%
55La Plata County7.5%
56Lewis and Clark County7.5%
57Cheshire County7.5%
58Grafton County7.5%
59Morgan County7.5%
60Livingston County7.6%
61Jefferson County7.6%
62Sussex County7.6%
63Saratoga County7.6%
64Rutland County7.6%
65Denali Borough7.7%
66Haines Borough7.7%
67Blaine County7.7%
68Middlesex County7.7%
69Norfolk County7.7%
70McCone County7.7%
71Richland County7.7%
72Stillwater County7.7%
73Sweet Grass County7.7%
74Belknap County7.7%
75Putnam County7.7%
76Caledonia County7.7%
77Island County7.7%
78Juneau City and Borough7.8%
79Skagway Municipality7.8%
80Chaffee County7.8%
81Custer County7.8%
82Denver County7.8%
83Lake County7.8%
84San Juan County7.8%
85Monroe County7.8%
86Hampshire County7.8%
87Broadwater County7.8%
88Strafford County7.8%
89Monmouth County7.8%
90Newport County7.8%
91Falls Church city7.8%
92Ozaukee County7.8%
93Kenai Peninsula Borough7.9%
94Placer County7.9%
95Northwest Hills Planning Region7.9%
96Leelanau County7.9%
97Missoula County7.9%
98Park County7.9%
99Hillsborough County7.9%
100Bristol County7.9%

Best 100 counties for Diabetes.

Highest Diabetes Rates — Bottom 100 CountiesCounties with the highest reported diabetes prevalence.
#CountyRate
1Oglala Lakota County23.8%
2Todd County22.9%
3Dimmit County21.5%
4Zavala County21.4%
5East Carroll Parish21.3%
6Bullock County21.3%
7Greene County21.1%
8Holmes County21.0%
9Humphreys County20.6%
10Starr County20.5%
11Perry County20.5%
12Jim Hogg County20.2%
13Zapata County20.1%
14Sioux County20.1%
15Tunica County19.9%
16Jefferson County19.8%
17Sharkey County19.6%
18Claiborne County19.6%
19Madison Parish19.6%
20Quitman County19.5%
21Coahoma County19.5%
22Lowndes County19.4%
23Wilcox County19.1%
24Willacy County19.0%
25Leflore County19.0%
26Randolph County18.9%
27Claiborne Parish18.8%
28Buffalo County18.7%
29Macon County18.5%
30Stewart County18.4%
31Mellette County18.3%
32Corson County18.3%
33Sunflower County18.3%
34Hancock County18.3%
35Brooks County18.2%
36Sumter County18.2%
37Maverick County18.1%
38Ziebach County18.1%
39Tensas Parish18.1%
40Dallas County18.1%
41Dewey County18.0%
42Noxubee County18.0%
43Kusilvak Census Area18.0%
44Allendale County17.9%
45McKinley County17.9%
46Yazoo County17.9%
47Bolivar County17.9%
48Presidio County17.8%
49Lake County17.8%
50Issaquena County17.8%
51Hidalgo County17.7%
52Marion County17.7%
53Macon County17.7%
54Wilkinson County17.6%
55Washington County17.6%
56Telfair County17.6%
57Reeves County17.5%
58Cameron County17.5%
59Bienville Parish17.5%
60McDowell County17.4%
61Hudspeth County17.4%
62Marlboro County17.4%
63Bennett County17.3%
64Dillon County17.3%
65Terrell County17.3%
66Phillips County17.2%
67Cochran County17.1%
68Jackson County17.1%
69Hampton County17.1%
70Dougherty County17.1%
71Calhoun County17.1%
72Lee County17.1%
73Desha County17.1%
74Petersburg city17.0%
75Duval County17.0%
76Tallahatchie County17.0%
77Lee County16.9%
78Baker County16.9%
79Webb County16.8%
80Jefferson Davis County16.8%
81Adams County16.8%
82Morehouse Parish16.8%
83Concordia Parish16.8%
84Conecuh County16.8%
85Emporia city16.6%
86Danville city16.6%
87La Salle County16.6%
88St. Francis County16.6%
89Frio County16.5%
90Haywood County16.5%
91Rolette County16.5%
92Atkinson County16.5%
93Barbour County16.5%
94Robeson County16.4%
95Williamsburg County16.3%
96Pike County16.3%
97Jenkins County16.3%
98Hale County16.3%
99Jim Wells County16.2%
100Culberson County16.2%

Worst 100 counties for Diabetes.

What this ranking suggests

Diabetes prevalence is one of the most expensive chronic-disease patterns in US healthcare. Read this ranking alongside the OBESITY, LPA (physical inactivity), and FOODINSECU rankings for the same county; the four together describe the metabolic-disease environment more honestly than any one alone.

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: DIABETES.

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