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Measures › Health risk behaviors › Current Cigarette Smoking

Health risk behaviors · BRFSS 2023

Current cigarette smoking among adults

US estimate 11.4% (95% interval 11.2–11.6), age-adjusted 11.6% (11.4–11.9). Published in the 2022, 2023, 2024, 2025 releases.

  • Population: All Adults
  • Case definition period: Current
  • Prevalence (crude and age-adjusted)
15.5%median county, 2025middle half 13.5%–17.8%
2,956counties with a 2025 estimaterange 6.4%–39.8%

Current cigarette smoking among adults: CDC's PLACES 2025 release estimates 11.4% nationally (95% confidence interval 11.2–11.6%), or 11.6% age-adjusted, from 2023 BRFSS responses.

Across the 2,956 counties with a 2025 estimate, the median county is 15.5% and the middle half of counties fall between 13.5% and 17.8%; the full range runs from 6.4% to 39.8%. Population-weighted state figures computed by this site (no interval) range from 8.1% (Utah) to 19.3% (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 and post-stratification approach was applied to BRFSS and ACS data to compute a detailed probability among adults who report having smoked ≥ 100 cigarettes in their lifetime and currently smoke every day or some days. 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 the lifetime or current number of cigarettes smoked. Each of these factors can affect the risk of acquiring chronic disease from smoking cigarettes. Additionally, the indicator does not measure intent or attempts to quit smoking among smokers or exposure to secondhand smoke among nonsmokers. Other Objectives or Recommendations Healthy People 2030 objective: TU-02. Reduce current cigarette smoking in adults.

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

6.4%23.1%39.8%

Crude county point estimates in the 2025 release, 24 equal bins. Deciles: 10th 11.7%, 25th 13.5%, median 15.5%, 75th 17.8%, 90th 20.3%. 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 Virginia19.3%13.9%28.7%55
Kentucky (2024 release)18.5%12.1%30.4%120*
Louisiana17.3%14.0%28.4%64
Tennessee17.3%10.4%29.4%95
Mississippi16.9%12.0%23.5%82
Oklahoma16.3%13.0%25.8%77
Alaska16.0%13.8%36.6%30
Missouri16.0%12.1%24.8%115
Arkansas15.8%11.7%22.3%75
Pennsylvania (2024 release)15.8%10.6%21.8%67*
Indiana15.7%9.5%23.5%92
Ohio15.4%10.1%22.9%88
South Dakota15.2%10.7%39.8%66
Alabama15.1%10.5%24.7%67
Michigan14.6%9.8%20.9%83
Nevada14.6%12.0%21.8%17
Iowa14.5%10.9%19.6%99
Maine14.4%10.9%19.7%16
Kansas14.0%9.7%19.2%105
Wyoming14.0%9.2%16.4%23
Georgia13.6%9.2%22.7%159
Montana13.6%9.7%26.5%56
Wisconsin13.6%9.8%23.4%72
North Carolina13.5%9.3%22.5%100
New Mexico13.4%7.1%26.8%33
South Carolina13.3%9.6%21.0%46
Nebraska13.2%11.1%21.0%93
Minnesota13.1%10.9%24.5%87
North Dakota13.1%11.2%32.9%53
Delaware12.6%11.6%14.0%3
Texas12.5%9.2%22.2%253
Florida12.4%9.9%21.0%67
Virginia12.2%6.7%21.6%133
Illinois12.1%9.5%20.0%102
Idaho12.0%9.6%17.3%44
Oregon12.0%9.6%16.2%36
Rhode Island11.6%9.2%12.7%5
Arizona11.4%10.5%22.4%15
Massachusetts11.3%9.1%15.8%14
New York11.3%8.2%16.5%62
Vermont11.2%8.5%16.3%14
Hawaii11.0%9.8%16.6%5
California10.9%8.0%16.9%58
Colorado10.9%7.8%20.0%64
Maryland10.9%7.2%17.7%24
New Jersey10.9%8.2%16.5%21
New Hampshire10.8%9.9%15.2%10
Connecticut10.6%8.5%13.2%9
Washington10.1%7.2%16.0%39
District of Columbia9.4%9.4%9.4%1
Utah8.1%6.4%15.7%29
StateState figure, age-adjusted (site aggregate)Counties
West Virginia20.0%55
Kentucky (2024 release)19.0%120*
Louisiana17.6%64
Tennessee17.6%95
Mississippi17.4%82
Oklahoma16.8%77
Missouri16.4%115
Pennsylvania (2024 release)16.4%67*
Arkansas16.3%75
Alaska16.1%30
Indiana16.1%92
Ohio15.8%88
South Dakota15.7%66
Alabama15.6%67
Iowa15.0%99
Michigan15.0%83
Maine14.8%16
Nevada14.6%17
Kansas14.5%105
Wyoming14.3%23
Montana14.1%56
Wisconsin14.0%72
Georgia13.8%159
North Carolina13.8%100
North Dakota13.8%53
New Mexico13.8%33
South Carolina13.7%46
Nebraska13.6%93
Minnesota13.3%87
Delaware12.9%3
Florida12.8%67
Texas12.6%253
Virginia12.5%133
Idaho12.4%44
Illinois12.3%102
Oregon12.3%36
Rhode Island12.0%5
Arizona11.9%15
Vermont11.7%14
Massachusetts11.6%14
New York11.6%62
Hawaii11.4%5
California11.0%58
Colorado11.0%64
Maryland11.0%24
New Hampshire11.0%10
New Jersey11.0%21
Connecticut10.9%9
Washington10.2%39
District of Columbia9.5%1
Utah8.4%29

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, SD39.8%34.6–44.8
Todd County, SD37.2%31.5–42.7
Kusilvak Census Area, AK36.6%31.7–41.9
Sioux County, ND32.9%28.5–37.8
Buffalo County, SD31.7%27.3–36.3
Bethel Census Area, AK31.0%26.8–35.7
Ziebach County, SD30.4%26.4–34.7
Mellette County, SD30.2%26.1–34.3
Corson County, SD29.6%25.4–34.0
Dewey County, SD29.5%25.1–33.9
Hancock County, TN29.4%24.9–34.3
Lake County, TN29.4%25.5–33.6
Nome Census Area, AK28.7%24.2–32.9
McDowell County, WV28.7%24.5–32.8
Jackson County, SD28.5%24.8–32.6
East Carroll Parish, LA28.4%24.0–32.9
Northwest Arctic Borough, AK28.3%24.1–32.9
Bennett County, SD28.0%24.0–32.3
Mingo County, WV27.6%23.4–32.6
Yukon-Koyukuk Census Area, AK27.4%23.5–31.2
CountyAge-adj.95% interval
Oglala Lakota County, SD40.3%35.0–45.2
Todd County, SD37.9%32.5–43.5
Kusilvak Census Area, AK36.9%31.9–42.0
Sioux County, ND33.6%29.0–38.5
Buffalo County, SD32.1%27.9–36.7
Mellette County, SD31.6%27.3–35.7
Bethel Census Area, AK31.2%27.0–36.0
Corson County, SD30.8%26.4–35.5
Ziebach County, SD30.8%26.5–35.1
Hancock County, TN29.9%24.9–35.0
Jackson County, SD29.8%25.9–34.0
Lake County, TN29.8%25.8–34.1
Dewey County, SD29.7%25.4–34.1
McDowell County, WV29.3%24.9–33.7
East Carroll Parish, LA29.1%24.6–33.6
Bennett County, SD29.0%24.5–33.6
Nome Census Area, AK28.7%24.3–32.9
Northwest Arctic Borough, AK28.6%24.2–33.2
Mingo County, WV28.0%23.8–32.6
Yukon-Koyukuk Census Area, AK27.5%23.7–31.5

Lowest county estimates

CountyCrude95% interval
Utah County, UT6.4%4.9–8.0
Summit County, UT6.6%4.8–8.7
Falls Church city, VA6.7%5.1–8.7
Arlington County, VA7.0%5.4–9.1
Los Alamos County, NM7.1%5.4–9.3
King County, WA7.2%5.8–8.9
Montgomery County, MD7.2%5.7–8.7
Wasatch County, UT7.3%5.4–9.6
Davis County, UT7.4%5.6–9.2
Howard County, MD7.4%5.8–9.3
Morgan County, UT7.6%5.9–9.8
Douglas County, CO7.8%5.8–10.2
Washington County, UT8.0%6.4–9.9
San Mateo County, CA8.0%6.5–9.8
Fairfax County, VA8.1%6.4–10.0
Cache County, UT8.1%6.2–10.0
Santa Clara County, CA8.1%6.6–9.8
Salt Lake County, UT8.2%6.6–10.2
New York County, NY8.2%6.5–10.1
Somerset County, NJ8.2%6.6–9.9
CountyAge-adj.95% interval
Summit County, UT6.5%4.8–8.7
Falls Church city, VA6.7%5.1–8.6
Arlington County, VA7.0%5.4–9.1
Utah County, UT7.0%5.4–8.7
King County, WA7.1%5.7–8.8
Los Alamos County, NM7.1%5.4–9.3
Montgomery County, MD7.2%5.8–8.7
Wasatch County, UT7.3%5.4–9.6
Howard County, MD7.3%5.7–9.1
Davis County, UT7.4%5.6–9.2
Douglas County, CO7.6%5.6–10.0
Morgan County, UT7.7%5.9–9.9
Loudoun County, VA8.0%6.3–9.9
Fairfax County, VA8.0%6.3–10.0
San Mateo County, CA8.0%6.5–9.8
Somerset County, NJ8.1%6.6–9.7
Santa Clara County, CA8.2%6.6–10.0
Salt Lake County, UT8.3%6.6–10.3
Pitkin County, CO8.3%6.2–10.8
Bergen County, NJ8.4%6.7–10.4

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 release14.3% 14.0–14.514.6%2020
2023 release13.5% 13.3–13.713.8%2021
2024 release12.9% 12.7–13.113.2%2022
2025 release11.4% 11.2–11.611.6%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 "current cigarette smoking 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 having smoked ≥ 100 cigarettes in their lifetime and currently smoke every day or some days. 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 current Cigarette Smoking?

11.4% (95% confidence interval 11.2–11.6%) crude and 11.6% age-adjusted in the 2025 release.

Which counties have the highest and lowest estimates?

The highest county point estimate is 39.8% (Oglala Lakota County, SD) and the lowest 6.4% (Utah County, UT). 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.