Health Outcomes

Arthritis Prevalence by County — US Rankings

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

Arthritis is the umbrella the CDC uses for any doctor-diagnosed arthritis, rheumatoid arthritis, gout, lupus, or fibromyalgia among adults. The PLACES program models county prevalence from BRFSS telephone survey responses, then age-adjusts to the 2000 US population so a retirement-heavy county is not compared to a college-town county on raw numbers. The measure tracks the share of adults living with diagnosed joint disease, not severity or treatment. Counties on the high end of arthritis prevalence tend to coincide with older average age and a history of physically demanding labor — the survey cannot tell us why someone reported the diagnosis, only that they did.

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 Arthritis Rates — Top 100 Counties

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

#CountyRate
1Santa Clara County15.5%
2San Francisco County16.1%
3Orange County16.8%
4Bergen County16.8%
5Hudson County16.9%
6San Mateo County17.1%
7Hennepin County17.1%
8Union County17.2%
9Queens County17.4%
10Alameda County17.6%
11Morris County17.6%
12Aleutians West Census Area17.7%
13Somerset County17.7%
14Ventura County18.0%
15Miami-Dade County18.0%
16Mercer County18.0%
17Montgomery County18.1%
18Washington County18.1%
19Carver County18.2%
20Los Angeles County18.3%
21Middlesex County18.3%
22Fort Bend County18.3%
23Aleutians East Borough18.4%
24San Diego County18.4%
25Scott County18.4%
26Forsyth County18.5%
27Collin County18.5%
28Contra Costa County18.6%
29Marin County18.7%
30District of Columbia18.7%
31Honolulu County18.8%
32Essex County18.8%
33Passaic County18.9%
34Los Alamos County18.9%
35New York County18.9%
36Terrell County18.9%
37Travis County18.9%
38King County18.9%
39DuPage County19.0%
40Nassau County19.0%
41Cameron County19.0%
42Kodiak Island Borough19.1%
43Santa Cruz County19.1%
44Anoka County19.1%
45Ramsey County19.1%
46Hunterdon County19.1%
47Napa County19.2%
48San Benito County19.2%
49Santa Fe County19.2%
50Williamson County19.2%
51Lake County19.3%
52Olmsted County19.3%
53Kings County19.3%
54Fairfax County19.3%
55Dane County19.3%
56San Joaquin County19.4%
57Dakota County19.4%
58Monmouth County19.4%
59Monterey County19.5%
60Solano County19.5%
61Sonoma County19.5%
62Greater Bridgeport Planning Region19.5%
63Western Connecticut Planning Region19.5%
64Gwinnett County19.5%
65Cook County19.5%
66Goodhue County19.5%
67Sussex County19.5%
68Teton County19.5%
69Maui County19.6%
70Colfax County19.6%
71Harris County19.6%
72Rockwall County19.6%
73Boulder County19.7%
74Denver County19.7%
75Dallas County19.7%
76Webb County19.7%
77Cook County19.8%
78Le Sueur County19.8%
79Santa Cruz County19.9%
80Placer County19.9%
81Broward County19.9%
82Dodge County19.9%
83Dakota County19.9%
84Suffolk County19.9%
85Brewster County19.9%
86Sterling County19.9%
87Loudoun County19.9%
88Amador County20.0%
89Imperial County20.0%
90DeKalb County20.0%
91Clay County20.0%
92Jackson County20.0%
93Lac qui Parle County20.0%
94Nobles County20.0%
95Mora County20.0%
96El Paso County20.0%
97Nueces County20.0%
98Grant County20.1%
99Houston County20.1%
100Meeker County20.1%

Best 100 counties for Arthritis.

Highest Arthritis Rates — Bottom 100 CountiesCounties with the highest reported arthritis prevalence.
#CountyRate
1McDowell County35.1%
2Calhoun County35.1%
3Mingo County35.0%
4Mercer County34.6%
5Webster County34.5%
6Logan County34.5%
7Lincoln County34.4%
8Wyoming County34.3%
9Roane County34.1%
10Clay County33.9%
11Summers County33.8%
12Cabell County33.5%
13Ritchie County33.4%
14Boone County33.2%
15Monroe County33.1%
16Hancock County33.1%
17Wayne County33.0%
18Braxton County32.9%
19Greenbrier County32.8%
20Barbour County32.8%
21Raleigh County32.7%
22Nicholas County32.7%
23Wirt County32.6%
24Wetzel County32.6%
25Mason County32.6%
26Pocahontas County32.5%
27Lewis County32.5%
28Randolph County32.4%
29Hardy County32.4%
30Fayette County32.4%
31Upshur County32.2%
32Tyler County32.2%
33Doddridge County32.2%
34Wood County32.0%
35Preston County32.0%
36Marion County32.0%
37Marshall County31.9%
38Tucker County31.8%
39Jackson County31.8%
40Hampshire County31.7%
41Lake County31.7%
42Taylor County31.6%
43Gilmer County31.6%
44Perry County31.6%
45Pleasants County31.5%
46Harrison County31.5%
47Hancock County31.5%
48Grant County31.5%
49Ohio County31.4%
50Pendleton County31.2%
51Morgan County31.2%
52Mineral County31.2%
53Scott County31.2%
54Holmes County31.1%
55Grundy County31.0%
56Kanawha County30.9%
57Madison Parish30.9%
58Greene County30.9%
59Bienville Parish30.6%
60Bullock County30.6%
61Humphreys County30.5%
62Pickett County30.4%
63Bledsoe County30.4%
64Claiborne Parish30.4%
65Rhea County30.3%
66Fentress County30.3%
67Decatur County30.3%
68Clay County30.3%
69Carter County30.3%
70Pemiscot County30.3%
71East Carroll Parish30.3%
72Putnam County30.2%
73Brooke County30.2%
74Johnson County30.2%
75Haywood County30.2%
76Cocke County30.2%
77Oglala Lakota County30.2%
78Wilcox County30.2%
79Overton County30.1%
80Todd County30.1%
81Sioux County30.1%
82Washington County30.1%
83Morehouse Parish30.1%
84Hardin County30.0%
85Coahoma County30.0%
86Concordia Parish30.0%
87Lowndes County30.0%
88Conecuh County30.0%
89Lauderdale County29.9%
90Hawkins County29.9%
91Quitman County29.9%
92Perry County29.8%
93Dyer County29.8%
94Campbell County29.8%
95Mississippi County29.8%
96Sharkey County29.8%
97Tensas Parish29.8%
98Sumter County29.8%
99Choctaw County29.8%
100Sequatchie County29.7%

Worst 100 counties for Arthritis.

What this ranking suggests

Arthritis prevalence is a slow-moving indicator that follows population age, occupational history, and obesity prevalence. The rankings are useful for understanding the long-term care burden a county faces; they are not a snapshot of disease activity in any given year.

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: ARTHRITIS.

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