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Measures › Health risk behaviors › Short Sleep Duration

Health risk behaviors · BRFSS 2022

Short sleep duration among adults

US estimate 36.0% (95% interval 35.7–36.3), age-adjusted 36.8% (36.5–37.2). Published in the 2022, 2023, 2024, 2025 releases.

  • Population: All Adults
  • Case definition period: Average 24-hour period
  • Prevalence (crude and age-adjusted)
36.4%median county, 2025middle half 32.8%–39.1%
3,143counties with a 2025 estimaterange 24.1%–49.8%

Short sleep duration among adults: CDC's PLACES 2025 release estimates 36.0% nationally (95% confidence interval 35.7–36.3%), or 36.8% age-adjusted, from 2022 BRFSS responses.

Across the 3,143 counties with a 2025 estimate, the median county is 36.4% and the middle half of counties fall between 32.8% and 39.1%; the full range runs from 24.1% to 49.8%. Population-weighted state figures computed by this site (no interval) range from 28.6% (Vermont) to 45.7% (Hawaii).

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 and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report usually getting insufficient sleep duration (<7 hours, on average, during a 24-hour period). 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.

CDC's notes: This measure does not convey variation in sleep duration (for instance, weekday vs. weekend sleep) or quality of sleep. Both might affect the risk for chronic disease. Indicator does not identify specific sleep problems, such as sleep disordered breathing, which are associated with different chronic conditions. This measure is part of the rotating core and is administered in even years. Other Objectives or Recommendations Healthy People 2030 objective: SH-03. Increase the proportion of adults who get enough sleep duration.

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

24.1%37.0%49.8%

Crude county point estimates in the 2025 release, 24 equal bins. Deciles: 10th 30.4%, 25th 32.8%, median 36.4%, 75th 39.1%, 90th 41.2%. 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
Hawaii45.7%38.1%48.2%5
West Virginia40.7%36.2%47.6%55
Louisiana40.1%35.9%47.8%64
Nevada39.8%31.1%40.9%17
Kentucky39.6%35.1%45.4%120
Alabama39.1%33.6%49.8%67
Georgia38.4%28.9%46.8%159
Mississippi38.4%31.1%46.1%82
Tennessee38.2%33.6%45.7%95
Texas38.2%31.9%43.5%253
Arkansas38.1%33.9%48.4%75
New York37.9%30.1%43.2%62
Ohio37.9%32.2%43.7%88
Pennsylvania37.9%31.7%44.2%67
Maryland37.7%29.4%44.0%24
New Jersey37.5%31.9%42.6%21
Florida37.3%29.2%43.8%67
Indiana37.1%31.1%42.7%92
Oklahoma36.8%33.0%43.3%77
Missouri36.5%32.4%43.4%115
Virginia36.0%28.3%47.7%133
Connecticut35.8%31.9%37.6%9
South Carolina35.8%30.0%44.7%46
Delaware35.7%32.5%39.9%3
Illinois35.4%30.5%41.0%102
Arizona35.2%31.6%41.8%15
Alaska35.1%29.4%45.9%30
California35.1%28.3%41.0%58
Rhode Island35.0%27.4%37.3%5
Michigan34.7%27.4%41.3%83
Kansas34.3%29.8%39.3%105
North Carolina34.2%26.9%42.0%100
Utah33.8%25.5%39.6%29
Massachusetts33.6%29.5%38.4%14
New Hampshire32.9%30.8%34.4%10
District of Columbia32.8%32.8%32.8%1
Maine32.8%29.1%38.4%16
Idaho32.7%27.2%36.9%44
North Dakota32.7%29.8%45.3%53
New Mexico32.7%27.4%40.0%33
Wisconsin32.6%28.3%38.2%72
Iowa32.5%26.6%37.4%99
Wyoming32.5%27.1%38.6%23
Washington31.8%26.5%39.1%39
Montana31.4%27.1%42.1%56
Nebraska31.3%27.1%36.3%93
Colorado30.7%24.1%36.7%64
Oregon30.6%24.8%35.1%36
South Dakota29.7%26.0%40.6%66
Minnesota29.2%24.9%35.2%87
Vermont28.6%25.2%34.5%14
StateState figure, age-adjusted (site aggregate)Counties
Hawaii47.0%5
West Virginia42.0%55
Louisiana40.9%64
Kentucky40.6%120
Nevada40.5%17
Alabama40.1%67
Mississippi39.4%82
Pennsylvania39.2%67
Arkansas39.1%75
Tennessee39.0%95
Ohio38.9%88
Florida38.8%67
Georgia38.8%159
New York38.8%62
Texas38.5%253
Maryland38.4%24
New Jersey38.3%21
Indiana38.0%92
Oklahoma37.6%77
Missouri37.5%115
Delaware37.0%3
South Carolina36.8%46
Connecticut36.7%9
Virginia36.7%133
Arizona36.2%15
Illinois36.2%102
Rhode Island36.1%5
Michigan35.7%83
California35.5%58
Kansas35.3%105
Alaska35.2%30
North Carolina35.1%100
Massachusetts34.5%14
Maine34.0%16
New Hampshire34.0%10
Utah34.0%29
New Mexico33.8%33
North Dakota33.7%53
Iowa33.6%99
Wisconsin33.6%72
Wyoming33.5%23
Idaho33.4%44
District of Columbia32.8%1
Montana32.4%56
Washington32.3%39
Nebraska32.1%93
Oregon31.5%36
Colorado31.1%64
South Dakota30.6%66
Minnesota30.0%87
Vermont30.0%14

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
Bullock County, AL49.8%42.1–57.5
Greene County, AL48.9%41.3–56.4
Phillips County, AR48.4%41.7–55.0
Honolulu County, HI48.2%43.8–52.8
Lowndes County, AL48.1%40.3–55.6
East Carroll Parish, LA47.8%39.9–55.7
Petersburg city, VA47.7%40.9–54.8
Mingo County, WV47.6%40.7–54.6
Macon County, GA46.8%39.5–54.6
Fayette County, WV46.6%40.9–52.6
Claiborne Parish, LA46.4%38.9–53.8
St. Francis County, AR46.3%40.3–52.3
Dougherty County, GA46.3%40.5–52.1
Madison Parish, LA46.2%38.5–53.6
Chicot County, AR46.1%38.8–53.6
Tunica County, MS46.1%38.6–53.7
Dallas County, AL46.0%39.2–52.9
Sumter County, AL46.0%38.3–53.7
McDowell County, WV46.0%39.0–53.0
Kusilvak Census Area, AK45.9%38.4–54.0
CountyAge-adj.95% interval
Greene County, AL51.0%43.3–58.5
Bullock County, AL50.5%42.8–58.2
Phillips County, AR50.5%43.6–57.0
Lowndes County, AL49.5%41.7–57.2
Honolulu County, HI49.5%45.0–54.1
Mingo County, WV48.7%41.7–55.7
Petersburg city, VA48.6%41.8–55.8
East Carroll Parish, LA48.4%40.6–56.4
Sumter County, AL48.3%40.6–56.0
Fayette County, WV48.2%42.5–54.2
Hancock County, GA48.1%40.4–55.7
Claiborne Parish, LA47.9%40.3–55.3
Macon County, GA47.8%40.5–55.6
Dallas County, AL47.6%40.8–54.5
Chicot County, AR47.6%40.3–55.1
McDowell County, WV47.5%40.4–54.6
Perry County, AL47.4%40.3–55.6
Wilcox County, AL47.4%39.7–55.4
Dougherty County, GA47.4%41.6–53.2
St. Francis County, AR47.3%41.3–53.3

Lowest county estimates

CountyCrude95% interval
Boulder County, CO24.1%20.7–27.7
Deschutes County, OR24.8%20.6–29.4
Pitkin County, CO24.8%19.4–30.6
Washington County, MN24.9%21.9–28.0
Washington County, VT25.2%21.7–29.0
Benton County, OR25.2%20.8–30.3
Summit County, UT25.5%21.1–30.3
Chittenden County, VT25.6%22.5–28.9
Perkins County, SD26.0%20.5–32.2
Carver County, MN26.2%22.1–30.6
Jefferson County, WA26.5%22.1–31.1
San Juan County, WA26.6%22.2–31.5
Lincoln County, SD26.6%23.3–30.1
Sioux County, IA26.6%21.8–31.7
Routt County, CO26.6%21.1–32.7
Larimer County, CO26.6%22.9–30.5
Garfield County, CO26.6%21.4–32.1
Douglas County, CO26.6%22.8–30.5
Winneshiek County, IA26.8%21.6–32.6
Buncombe County, NC26.9%22.0–32.1
CountyAge-adj.95% interval
Boulder County, CO24.7%21.2–28.3
Deschutes County, OR25.6%21.3–30.2
Washington County, MN25.7%22.6–28.8
Summit County, UT25.8%21.3–30.7
Pitkin County, CO25.9%20.4–31.9
Washington County, VT26.4%22.7–30.2
Carver County, MN26.4%22.3–30.8
Chittenden County, VT26.5%23.3–29.9
Benton County, OR26.6%22.0–31.9
Douglas County, CO26.7%23.0–30.6
Routt County, CO26.8%21.2–32.9
Lincoln County, SD26.9%23.6–30.4
Garfield County, CO26.9%21.6–32.4
Teton County, WY27.2%22.2–32.7
Larimer County, CO27.2%23.4–31.1
Washington County, NE27.6%22.4–33.2
Dallas County, IA27.6%22.7–32.8
Buncombe County, NC27.7%22.8–33.1
Sioux County, IA27.8%22.8–33.0
San Miguel County, CO27.8%21.8–34.3

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 release32.7% 32.4–33.133.3%2020
2023 release32.7% 32.4–33.133.3%2020
2024 release36.0% 35.7–36.336.8%2022
2025 release36.0% 35.7–36.336.8%2022

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 "short sleep duration among adults"?

A multi-level regression and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report usually getting insufficient sleep duration (<7 hours, on average, during a 24-hour period). 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: Average 24-hour period.

What is the national estimate for short Sleep Duration?

36.0% (95% confidence interval 35.7–36.3%) crude and 36.8% age-adjusted in the 2025 release.

Which counties have the highest and lowest estimates?

The highest county point estimate is 49.8% (Bullock County, AL) and the lowest 24.1% (Boulder County, CO). 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.