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Disability · BRFSS 2023

Any disability among adults

US estimate 30.0% (95% interval 29.7–30.3), age-adjusted 28.3% (28.0–28.7). Published in the 2023, 2024, 2025 releases.

  • Population: All Adults
  • Case definition period: Current
  • Prevalence (crude and age-adjusted)
34.2%median county, 2025middle half 30.7%–38.4%
2,956counties with a 2025 estimaterange 19.6%–51.3%

Any disability among adults: CDC's PLACES 2025 release estimates 30.0% nationally (95% confidence interval 29.7–30.3%), or 28.3% age-adjusted, from 2023 BRFSS responses.

Across the 2,956 counties with a 2025 estimate, the median county is 34.2% and the middle half of counties fall between 30.7% and 38.4%; the full range runs from 19.6% to 51.3%. Population-weighted state figures computed by this site (no interval) range from 21.6% (District of Columbia) to 39.2% (West Virginia).

CDC advises that areas may be compared on individual measures but that the estimates should not be used to rank overall health; the county lists below are ordered by point estimate and every row carries its 95% confidence interval.

CDC's definition

A multi-level regression, post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who said yes to at least one of six disability questions below: “Are you deaf or do you have serious difficulty hearing?” “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” “Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?” “Do you have serious difficulty walking or climbing stairs?” “Do you have difficulty dressing or bathing?” “Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone, such as visiting a doctor’s office or shopping?”. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation.

Quoted from CDC's PLACES measure definitions (cdc.gov/places/measure-definitions). BRFSS is the Behavioral Risk Factor Surveillance System, the telephone survey the model is trained on.

National distribution across counties

19.6%35.5%51.3%

Crude county point estimates in the 2025 release, 24 equal bins. Deciles: 10th 28.0%, 25th 30.7%, median 34.2%, 75th 38.4%, 90th 42.0%. Counties without a 2025 estimate (Kentucky, Pennsylvania and the states without the social-needs module) are excluded here.

By state

Crude prevalence is the estimated share of all adults. Age-adjusted prevalence is standardised to the 2000 US standard population so that areas with different age structures can be compared. CDC: "Age-adjusted estimates are only available at the county and place-level."

StateState figure, crude (site aggregate)Lowest countyHighest countyCounties
West Virginia39.2%29.5%49.6%55
Oklahoma38.9%32.5%48.2%77
Arkansas38.2%30.0%48.2%75
Mississippi38.1%30.3%48.9%82
Louisiana38.0%33.2%50.8%64
Kentucky (2024 release)37.3%27.0%52.7%120*
Alabama36.5%28.1%50.4%67
Missouri36.2%29.7%49.4%115
Tennessee35.8%25.5%49.6%95
Idaho34.7%28.6%44.7%44
New Mexico34.0%21.4%43.9%33
Nevada33.7%30.6%45.2%17
Maine32.1%26.3%41.1%16
North Carolina32.0%24.0%44.3%100
Arizona31.5%29.2%45.9%15
South Carolina31.5%25.7%42.7%46
Florida31.3%24.8%43.6%67
Pennsylvania (2024 release)31.3%24.9%39.7%67*
Indiana31.1%22.5%40.0%92
Michigan31.1%23.3%40.4%83
Montana30.9%24.0%42.9%56
Texas30.9%23.0%48.3%253
Wyoming30.7%21.6%35.7%23
Delaware30.6%28.7%34.8%3
California30.4%23.9%40.1%58
Kansas30.4%24.4%39.3%105
South Dakota30.1%23.8%51.3%66
Oregon30.0%25.7%38.9%36
Virginia30.0%20.6%43.6%133
Alaska29.6%24.1%49.0%30
Georgia29.6%20.9%45.5%159
Ohio29.5%19.6%38.4%88
Wisconsin29.4%24.3%40.6%72
Hawaii28.7%27.1%38.2%5
Utah28.4%23.3%41.2%29
Iowa28.1%22.5%35.9%99
Rhode Island27.9%23.6%29.8%5
Illinois27.6%22.4%39.7%102
North Dakota27.6%22.9%47.7%53
Minnesota27.4%23.3%42.2%87
Nebraska27.4%23.4%36.2%93
Massachusetts27.3%23.0%35.5%14
New York27.2%22.9%36.2%62
Colorado27.1%21.2%40.7%64
Washington27.1%20.9%38.7%39
Maryland26.4%20.9%35.1%24
Vermont26.4%22.3%34.6%14
New Hampshire26.1%23.8%34.3%10
Connecticut25.3%21.1%29.0%9
New Jersey24.8%20.1%31.4%21
District of Columbia21.6%21.6%21.6%1
StateState figure, age-adjusted (site aggregate)Counties
Oklahoma37.7%77
West Virginia36.8%55
Louisiana36.7%64
Mississippi36.6%82
Arkansas36.5%75
Kentucky (2024 release)35.9%120*
Alabama34.9%67
Missouri34.5%115
Tennessee34.5%95
Idaho33.5%44
Nevada32.7%17
New Mexico32.3%33
North Carolina30.7%100
Texas30.6%253
Indiana29.9%92
South Carolina29.8%46
Arizona29.7%15
Maine29.6%16
California29.5%58
Alaska29.4%30
Michigan29.4%83
Pennsylvania (2024 release)29.4%67*
Montana29.2%56
Wyoming29.2%23
Kansas29.1%105
Florida28.9%67
Georgia28.9%159
Virginia28.8%133
Delaware28.6%3
Oregon28.6%36
South Dakota28.6%66
Utah28.6%29
Ohio27.9%88
Wisconsin27.8%72
Hawaii27.0%5
Colorado26.6%64
Iowa26.5%99
North Dakota26.5%53
Illinois26.4%102
Rhode Island26.4%5
Nebraska26.2%93
Washington26.2%39
Minnesota26.1%87
Massachusetts26.0%14
New York25.8%62
Maryland25.3%24
Vermont24.4%14
New Hampshire24.3%10
Connecticut23.9%9
New Jersey23.5%21
District of Columbia22.0%1

State figures are population-weighted county estimates computed by this site (PLACES publishes no state row) and carry no interval; they are listed by point estimate, which is not a ranking of states' health. Lowest and highest county columns are crude point estimates. * This measure was not published for the state in the 2025 release; its figure, county count and county range come from the release in brackets, the most recent that has them.

Highest county estimates

CountyCrude95% interval
Oglala Lakota County, SD51.3%45.9–56.7
East Carroll Parish, LA50.8%44.9–56.7
Claiborne Parish, LA50.7%45.5–56.4
Tensas Parish, LA50.5%45.2–56.0
Greene County, AL50.4%44.6–55.7
Bullock County, AL49.7%44.5–55.1
Hancock County, TN49.6%43.9–55.8
Mingo County, WV49.6%43.9–55.8
Hickory County, MO49.4%43.8–54.8
McDowell County, WV49.3%43.9–54.7
Madison Parish, LA49.2%43.8–54.7
Todd County, SD49.2%43.5–55.2
Perry County, AL49.1%43.8–54.5
Kusilvak Census Area, AK49.0%43.0–55.4
Humphreys County, MS48.9%42.9–54.6
Lake County, TN48.4%42.5–54.1
Dimmit County, TX48.3%42.2–54.1
Desha County, AR48.2%43.1–53.7
Bienville Parish, LA48.2%43.0–53.5
McIntosh County, OK48.2%43.0–53.2
CountyAge-adj.95% interval
Oglala Lakota County, SD52.3%47.2–57.6
East Carroll Parish, LA50.1%44.2–55.8
Todd County, SD50.0%44.4–55.7
Kusilvak Census Area, AK49.9%44.0–56.0
Bullock County, AL47.9%42.5–53.5
Claiborne Parish, LA47.8%42.6–53.5
Sioux County, ND47.7%42.1–53.4
Lake County, TN47.5%41.7–53.0
Madison Parish, LA47.3%41.7–53.0
Mingo County, WV46.9%41.3–53.1
Dimmit County, TX46.8%40.5–52.6
Hancock County, TN46.7%41.3–52.8
Greene County, AL46.6%40.8–52.4
McDowell County, WV46.6%41.0–52.3
Zavala County, TX46.4%42.1–50.9
Humphreys County, MS46.3%40.6–52.3
Adair County, OK46.3%41.1–51.1
Perry County, AL46.1%40.5–51.5
Tensas Parish, LA45.8%40.3–51.4
Buffalo County, SD45.6%39.8–51.1

Lowest county estimates

CountyCrude95% interval
Delaware County, OH19.6%16.5–22.9
Somerset County, NJ20.1%17.5–23.0
Arlington County, VA20.6%17.5–24.0
Morris County, NJ20.8%17.6–24.1
King County, WA20.9%18.7–23.2
Howard County, MD20.9%18.0–24.0
Forsyth County, GA20.9%17.5–24.7
Western Connecticut planning region, CT21.1%19.0–23.2
Falls Church city, VA21.2%17.7–25.0
Douglas County, CO21.2%17.8–25.1
Los Alamos County, NM21.4%17.9–25.4
Bergen County, NJ21.5%18.7–24.8
Teton County, WY21.6%17.9–25.6
District of Columbia, DC21.6%18.1–25.4
Chittenden County, VT22.3%19.2–25.6
Monmouth County, NJ22.3%19.0–25.7
Montgomery County, MD22.3%19.7–25.0
DuPage County, IL22.4%18.9–26.3
Lower Connecticut River Valley planning region, CT22.4%20.0–25.0
Broomfield County, CO22.4%18.8–26.5
CountyAge-adj.95% interval
Somerset County, NJ18.9%16.4–21.6
Delaware County, OH19.0%16.0–22.3
Morris County, NJ19.3%16.2–22.4
Los Alamos County, NM20.1%16.7–24.0
Bergen County, NJ20.1%17.5–23.3
Howard County, MD20.1%17.3–23.2
Falls Church city, VA20.4%17.1–24.2
Hunterdon County, NJ20.5%17.0–24.3
Monmouth County, NJ20.6%17.6–23.6
Forsyth County, GA20.7%17.4–24.5
King County, WA20.8%18.6–23.2
Western Connecticut planning region, CT20.8%19.0–22.6
Douglas County, CO20.8%17.5–24.6
Teton County, WY20.9%17.3–24.9
Newport County, RI20.9%17.6–24.4
Arlington County, VA21.0%17.9–24.4
Montgomery County, MD21.1%18.6–23.5
Putnam County, NY21.2%18.0–25.3
DuPage County, IL21.2%17.8–25.0
Chittenden County, VT21.5%18.5–24.6

Twenty counties at each end by point estimate. Small counties have wide intervals; many of these intervals overlap one another, so the order within each list is not a meaningful ranking. CDC: "the data should not be used for ranking the overall health of any county, place, census tract, or ZCTA."

National estimate by release

ReleaseCrudeAge-adjustedBRFSS year
2022 release———
2023 release28.3% 28.0–28.726.8%2021
2024 release29.9% 29.6–30.228.3%2022
2025 release30.0% 29.7–30.328.3%2023

CDC's US row from each release's county file, for reference. Survey questions and modelling details change between releases; see the release pages.

Questions and answers

How does PLACES define "any disability among adults"?

A multi-level regression, post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who said yes to at least one of six disability questions below: “Are you deaf or do you have serious difficulty hearing?” “Are you blind or do you have serious difficulty seeing, even when wearing glasses?” “Because of a physical, mental, or emotional condition, do you have serious difficulty concentrating, remembering, or making decisions?” “Do you have serious difficulty walking or climbing stairs?” “Do you have difficulty dressing or bathing?” “Because of a physical, mental, or emotional condition, do you have difficulty doing errands alone, such as visiting a doctor’s office or shopping?”. The probability was then applied to the detailed population estimates at the appropriate geographic level to generate the prevalence. The 95% confidence interval was derived using Monte Carlo simulation. Population: All Adults. Time period of case definition: Current.

What is the national estimate for any Disability?

30.0% (95% confidence interval 29.7–30.3%) crude and 28.3% age-adjusted in the 2025 release.

Which counties have the highest and lowest estimates?

The highest county point estimate is 51.3% (Oglala Lakota County, SD) and the lowest 19.6% (Delaware County, OH). Because the intervals for neighbouring positions usually overlap, the lists are a reference for point estimates, not a ranking.

Is a higher figure better or worse?

This site does not grade measures. CDC groups them as health outcomes, prevention, health risk behaviors, disability, health status and health-related social needs; for prevention measures such as checkups and screening a higher share reports the service, for the others a higher share reports the condition or circumstance.

Where does this data come from?

CDC PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025); the definition text is CDC's own from its measure definitions pages.

Provenance

Source: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, 2025 release (data updated 4 Dec 2025), with the 2022, 2023, 2024 releases for reference; US government work, public domain. Dataset on data.cdc.gov. Boundaries and ZIP-to-county relationships: US Census Bureau. Percentages are shown to one decimal as CDC publishes them; state figures are population-weighted means computed by this site. Definition text is CDC's own, from the PLACES measure definitions pages (public domain), with its burden narrative and references omitted. Processing errors are corrected at the next daily build; see corrections. Generated 30 Sep 2026.