Disability

Independent Living Disability by County — US Rankings

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

Independent living disability captures adults with serious difficulty doing errands alone — shopping, visiting a doctor — because of a physical, mental, or emotional condition. PLACES age-adjusts. It is one of the most consequential disability indicators for community-based services planning, because it identifies the population most dependent on caregivers, transportation services, and home-delivered support. Counties with high prevalence often need disproportionate investment in Medicaid HCBS waivers and Area Agencies on Aging.

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 Independent Living Disability Rates — Top 100 Counties

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

#CountyRate
1Falls Church city4.4%
2Los Alamos County4.6%
3Howard County4.8%
4Arlington County4.8%
5Douglas County4.9%
6Hamilton County4.9%
7Somerset County4.9%
8Morris County5.0%
9Delaware County5.0%
10Pitkin County5.1%
11Loudoun County5.1%
12Broomfield County5.2%
13Hunterdon County5.2%
14King County5.2%
15Teton County5.2%
16Forsyth County5.3%
17Montgomery County5.3%
18Summit County5.3%
19Fairfax County5.3%
20Santa Clara County5.4%
21Hinsdale County5.4%
22Dallas County5.4%
23Johnson County5.4%
24Nantucket County5.4%
25Carver County5.4%
26Bergen County5.4%
27Oconee County5.5%
28Washington County5.5%
29Monmouth County5.5%
30Ouray County5.6%
31Rockingham County5.6%
32San Mateo County5.7%
33Clear Creek County5.7%
34San Miguel County5.7%
35DuPage County5.7%
36Frederick County5.7%
37Sarpy County5.7%
38Nassau County5.7%
39Lincoln County5.7%
40Williamson County5.7%
41Collin County5.7%
42Boulder County5.8%
43Jefferson County5.8%
44Routt County5.8%
45Western Connecticut Planning Region5.8%
46Boone County5.8%
47Norfolk County5.8%
48Middlesex County5.8%
49Putnam County5.8%
50Wake County5.8%
51Warren County5.8%
52Morgan County5.8%
53Chittenden County5.8%
54San Francisco County5.9%
55Gunnison County5.9%
56Summit County5.9%
57Scott County5.9%
58Sussex County5.9%
59Wasatch County5.9%
60Albemarle County5.9%
61Fairfax city5.9%
62Ozaukee County5.9%
63Waukesha County5.9%
64Marin County6.0%
65St. Johns County6.0%
66Carroll County6.0%
67Washington County6.0%
68Westchester County6.0%
69Bristol County6.0%
70Newport County6.0%
71Rockwall County6.0%
72Alexandria city6.0%
73Eagle County6.1%
74Lake County6.1%
75Monroe County6.1%
76Warren County6.1%
77Anne Arundel County6.1%
78Calvert County6.1%
79Middlesex County6.1%
80Dakota County6.1%
81Olmsted County6.1%
82Kearney County6.1%
83Burlington County6.1%
84Burleigh County6.1%
85Union County6.1%
86Denton County6.1%
87Fort Bend County6.1%
88Kendall County6.1%
89Williamson County6.1%
90Goochland County6.1%
91York County6.1%
92San Juan County6.1%
93Elbert County6.2%
94Gilpin County6.2%
95Lower Connecticut River Valley Planning Region6.2%
96Fayette County6.2%
97Kendall County6.2%
98Oakland County6.2%
99Hennepin County6.2%
100Wright County6.2%

Best 100 counties for Independent Living Disability.

Highest Independent Living Disability Rates — Bottom 100 CountiesCounties with the highest reported independent living disability prevalence.
#CountyRate
1Oglala Lakota County20.8%
2Todd County19.8%
3Kusilvak Census Area17.6%
4East Carroll Parish17.2%
5Sioux County17.0%
6McKinley County16.8%
7Madison Parish16.4%
8Greene County16.4%
9Bullock County16.3%
10Humphreys County16.1%
11Mellette County15.9%
12Perry County15.9%
13Hancock County15.8%
14McDowell County15.6%
15Lake County15.5%
16Corson County15.5%
17Holmes County15.5%
18Tunica County15.4%
19Quitman County15.4%
20Claiborne Parish15.3%
21Wilcox County15.3%
22Randolph County15.2%
23Mingo County15.1%
24Buffalo County15.1%
25Sharkey County15.1%
26Lowndes County15.1%
27Ziebach County15.0%
28Desha County15.0%
29Jackson County14.9%
30Dimmit County14.8%
31Tensas Parish14.8%
32Coahoma County14.6%
33Phillips County14.6%
34Bethel Census Area14.6%
35Bennett County14.5%
36Pemiscot County14.4%
37Zavala County14.3%
38Glacier County14.3%
39Leflore County14.3%
40Jefferson County14.3%
41Bienville Parish14.3%
42Dewey County14.2%
43Claiborne County14.2%
44Apache County14.1%
45Calhoun County14.0%
46Macon County14.0%
47Dillon County13.9%
48Robeson County13.9%
49Washington County13.9%
50Morehouse Parish13.9%
51Treutlen County13.9%
52Terrell County13.9%
53Telfair County13.9%
54Taylor County13.9%
55Starr County13.8%
56Noxubee County13.8%
57Concordia Parish13.8%
58Hancock County13.8%
59Atkinson County13.8%
60Lafayette County13.8%
61Dallas County13.8%
62San Augustine County13.7%
63Adair County13.7%
64Yazoo County13.7%
65Lee County13.7%
66Zapata County13.6%
67Scott County13.6%
68Jim Hogg County13.5%
69Sunflower County13.5%
70Webster Parish13.5%
71Red River Parish13.5%
72Franklin Parish13.5%
73Conecuh County13.5%
74Marion County13.4%
75Big Horn County13.4%
76Bolivar County13.4%
77Avoyelles Parish13.4%
78Marlboro County13.3%
79Issaquena County13.3%
80St. Landry Parish13.3%
81Logan County13.2%
82Haywood County13.2%
83Hickory County13.2%
84St. Helena Parish13.2%
85Jenkins County13.2%
86Ben Hill County13.2%
87Escambia County13.2%
88Wyoming County13.1%
89Lincoln County13.1%
90Newton County13.1%
91Okfuskee County13.1%
92Mississippi County13.1%
93Turner County13.1%
94Baker County13.1%
95St. Francis County13.1%
96Sumter County13.1%
97Webster County13.0%
98Hopewell city13.0%
99Cochran County13.0%
100Barnwell County13.0%

Worst 100 counties for Independent Living Disability.

What this ranking suggests

Independent-living disability rankings are most useful when read at the local level by housing, transportation, and aging-services planners — it identifies the population that drives community-services demand. The MOBILITY and SELFCARE rankings on this site decompose the underlying functional patterns.

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: INDEPLIVE.

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