US counties by binge drinking in adults, local model estimate
Missoula County had the highest binge drinking in adults, local model estimate of 3144 counties in 2022, at 26%. Greene County had the lowest, at 9.1%. The median was 16.6%. Source: the Centers for Disease Control and Prevention.
Map of counties, 2022
Top 40 counties, 2022
Full ranking
| Rank | Counties | 2022 (%) | Change on 2021 |
|---|---|---|---|
| 1 | Missoula County | 26 | +2.5 pts |
| 2 | Denver County | 25.9 | +3.7 pts |
| 3 | Johnson County | 25.7 | +3.6 pts |
| 3 | Williams County | 25.7 | +1.9 pts |
| 5 | Gallatin County | 25.6 | +1.1 pts |
| 6 | Sherburne County | 25.1 | +5.5 pts |
| 7 | Loving County | 25 | +1.4 pts |
| 8 | Buchanan County | 24.6 | +3.2 pts |
| 8 | District of Columbia | 24.6 | +2.9 pts |
| 10 | Brookings County | 24.5 | +2.1 pts |
| 11 | Dallas County | 24.2 | +1.5 pts |
| 11 | St. Croix County | 24.2 | +1.3 pts |
| 13 | McKenzie County | 23.9 | +1.7 pts |
| 13 | Stark County | 23.9 | +3.7 pts |
| 13 | Story County | 23.9 | +1.2 pts |
| 16 | Portage County | 23.8 | +1.6 pts |
| 16 | Ward County | 23.8 | +0.8 pts |
| 18 | Powell County | 23.6 | +2.7 pts |
| 19 | Dane County | 23.5 | +0.2 pts |
| 19 | Pierce County | 23.5 | -0.5 pts |
| 21 | Chippewa County | 23.4 | +1.2 pts |
| 21 | Clay County | 23.4 | +2.5 pts |
| 23 | Grand Forks County | 23.2 | +1 pts |
| 23 | Muscatine County | 23.2 | +5.1 pts |
| 25 | Scott County | 23.1 | +4.7 pts |
| 26 | Louisa County | 23 | +4.2 pts |
| 27 | Woodbury County | 22.9 | +2.9 pts |
| 28 | New York County | 22.8 | +3.9 pts |
| 28 | Washington County | 22.8 | +0.5 pts |
| 30 | Arlington County | 22.6 | +2.9 pts |
| 30 | Hill County | 22.6 | +1 pts |
| 30 | Plymouth County | 22.6 | +2.8 pts |
| 33 | Benton County | 22.5 | +3.3 pts |
| 33 | Clay County | 22.5 | +3.4 pts |
| 33 | Dodge County | 22.5 | +3.2 pts |
| 33 | Grundy County | 22.5 | +2.1 pts |
| 33 | Gunnison County | 22.5 | +0.6 pts |
| 33 | Silver Bow County | 22.5 | +1.5 pts |
| 33 | Warren County | 22.5 | +1.8 pts |
| 40 | Chisago County | 22.4 | +3.2 pts |
| 40 | Marion County | 22.4 | +2.1 pts |
| 40 | Sauk County | 22.4 | +0.8 pts |
| 43 | Albany County | 22.3 | +1.9 pts |
| 43 | Benton County | 22.3 | +3 pts |
| 43 | Burleigh County | 22.3 | +2.7 pts |
| 43 | Custer County | 22.3 | +2.1 pts |
| 43 | Kenosha County | 22.3 | +0.4 pts |
| 43 | Madison County | 22.3 | +2 pts |
| 43 | Polk County | 22.3 | +2 pts |
| 43 | Summit County | 22.3 | +2.1 pts |
| 43 | Winneshiek County | 22.3 | +3.7 pts |
| 43 | Wright County | 22.3 | +2.5 pts |
| 53 | Calumet County | 22.2 | -0.6 pts |
| 53 | Cass County | 22.2 | +0.4 pts |
| 53 | North Slope Borough | 22.2 | +1.7 pts |
| 53 | Stearns County | 22.2 | +1.5 pts |
| 53 | Travis County | 22.2 | +1.6 pts |
| 58 | Boone County | 22.1 | +2.2 pts |
| 58 | Douglas County | 22.1 | -1.3 pts |
| 58 | Dunn County | 22.1 | -0.7 pts |
| 58 | Larimer County | 22.1 | +0.8 pts |
| 58 | Lyon County | 22.1 | +2.1 pts |
| 58 | Morton County | 22.1 | +1.3 pts |
| 58 | Ramsey County | 22.1 | +1.6 pts |
| 58 | Yellowstone County | 22.1 | +0.6 pts |
| 66 | Dubuque County | 22 | +1.7 pts |
| 66 | Eau Claire County | 22 | -2.5 pts |
| 66 | San Francisco County | 22 | +6.6 pts |
| 66 | Waupaca County | 22 | +0.8 pts |
| 66 | Winnebago County | 22 | -0.3 pts |
| 71 | Bremer County | 21.9 | +1.7 pts |
| 71 | Cedar County | 21.9 | +2.4 pts |
| 71 | Sheboygan County | 21.9 | +0.7 pts |
| 71 | Winona County | 21.9 | +2.5 pts |
| 75 | Charleston County | 21.8 | +0.1 pts |
| 75 | Columbia County | 21.8 | -1.2 pts |
| 75 | Fairbanks North Star Borough | 21.8 | +2 pts |
| 75 | Meade County | 21.8 | +5 pts |
| 75 | Monroe County | 21.8 | +0.6 pts |
| 75 | Mountrail County | 21.8 | +0.1 pts |
| 75 | Pottawattamie County | 21.8 | +2.3 pts |
| 75 | Pulaski County | 21.8 | +3 pts |
| 75 | Richland County | 21.8 | +0.3 pts |
| 75 | Webster County | 21.8 | +1.8 pts |
| 85 | Dillingham Census Area | 21.7 | +2.8 pts |
| 85 | Green County | 21.7 | -1.2 pts |
| 85 | Jefferson County | 21.7 | +4.9 pts |
| 85 | Lincoln County | 21.7 | +1 pts |
| 85 | Marathon County | 21.7 | -1.1 pts |
| 85 | Ozaukee County | 21.7 | -0.2 pts |
| 85 | Richland County | 21.7 | +0.5 pts |
| 85 | Sioux County | 21.7 | +2 pts |
| 85 | Toole County | 21.7 | +0.7 pts |
| 94 | Isanti County | 21.6 | +3.6 pts |
| 94 | Jefferson County | 21.6 | -0.4 pts |
| 94 | Outagamie County | 21.6 | -2.4 pts |
| 94 | Saunders County | 21.6 | +0.7 pts |
| 94 | St. Louis County | 21.6 | +2.8 pts |
| 99 | Blue Earth County | 21.5 | +0.8 pts |
| 99 | Carlton County | 21.5 | +2.5 pts |
| 99 | Dunn County | 21.5 | +0.5 pts |
| 99 | Fallon County | 21.5 | -0.2 pts |
| 99 | Hennepin County | 21.5 | +2 pts |
| 99 | Iowa County | 21.5 | +2.6 pts |
| 99 | Lincoln County | 21.5 | +1 pts |
| 99 | Palo Alto County | 21.5 | +3 pts |
| 99 | Walworth County | 21.5 | -0.6 pts |
| 108 | Black Hawk County | 21.4 | +0.8 pts |
| 108 | Delaware County | 21.4 | +2.4 pts |
| 108 | Elko County | 21.4 | +5 pts |
| 108 | Henry County | 21.4 | +2.7 pts |
| 108 | Linn County | 21.4 | +0.5 pts |
| 108 | Mills County | 21.4 | +1.1 pts |
| 108 | Monroe County | 21.4 | +2.6 pts |
| 115 | Boone County | 21.3 | +2.7 pts |
| 115 | Eagle County | 21.3 | +1.9 pts |
| 115 | Hardin County | 21.3 | +3.2 pts |
| 115 | Kewaunee County | 21.3 | -0.4 pts |
| 115 | Lexington city | 21.3 | +1.4 pts |
| 115 | Scott County | 21.3 | +2.1 pts |
| 121 | Ascension Parish | 21.2 | +2.8 pts |
| 121 | Brown County | 21.2 | +2.8 pts |
| 121 | Clay County | 21.2 | +3.1 pts |
| 121 | Denali Borough | 21.2 | +3.2 pts |
| 121 | Grant County | 21.2 | -1.4 pts |
| 121 | Hamilton County | 21.2 | +2.1 pts |
| 121 | Jefferson County | 21.2 | +0.5 pts |
| 121 | McLeod County | 21.2 | +3.4 pts |
| 121 | Onslow County | 21.2 | +1.4 pts |
| 121 | Racine County | 21.2 | +0.7 pts |
| 121 | Renville County | 21.2 | +2.1 pts |
| 121 | Sac County | 21.2 | +3.2 pts |
| 121 | San Diego County | 21.2 | +3.1 pts |
| 121 | Stevens County | 21.2 | +1.4 pts |
| 121 | Tompkins County | 21.2 | +4.1 pts |
| 136 | Carroll County | 21.1 | +2.1 pts |
| 136 | Codington County | 21.1 | +2.9 pts |
| 136 | Dodge County | 21.1 | -1.2 pts |
| 136 | Garza County | 21.1 | +0.9 pts |
| 136 | Lyon County | 21.1 | +3.2 pts |
| 136 | Nicollet County | 21.1 | +1 pts |
| 136 | Traill County | 21.1 | -0.3 pts |
| 136 | Washington County | 21.1 | +3.4 pts |
| 144 | Burke County | 21 | +2.1 pts |
| 144 | Centre County | 21 | +3.2 pts |
| 144 | Clinton County | 21 | +1.6 pts |
| 144 | Davis County | 21 | +2.2 pts |
| 144 | Flathead County | 21 | +2.3 pts |
| 144 | Garfield County | 21 | +0.9 pts |
| 144 | Hamlin County | 21 | +2.4 pts |
| 144 | Harrison County | 21 | +1.6 pts |
| 144 | Iowa County | 21 | -0.8 pts |
| 144 | Jones County | 21 | +2.5 pts |
| 144 | Lake County | 21 | +1.7 pts |
| 144 | Le Sueur County | 21 | +1.6 pts |
| 144 | Menominee County | 21 | -0.1 pts |
| 144 | Rolette County | 21 | +1.1 pts |
| 144 | Seward County | 21 | +0.5 pts |
| 144 | Union County | 21 | +2.9 pts |
| 160 | Dickey County | 20.9 | +2.6 pts |
| 160 | Fond du Lac County | 20.9 | -0.4 pts |
| 160 | Howard County | 20.9 | +2.3 pts |
| 160 | Jackson County | 20.9 | -0.8 pts |
| 160 | Jasper County | 20.9 | +1.9 pts |
| 160 | Milwaukee County | 20.9 | -1.5 pts |
| 160 | Minnehaha County | 20.9 | -0.6 pts |
| 160 | Norfolk city | 20.9 | +3.5 pts |
| 160 | Worth County | 20.9 | +2.2 pts |
| 169 | Broomfield County | 20.8 | +1.9 pts |
| 169 | Brown County | 20.8 | -1.7 pts |
| 169 | Calhoun County | 20.8 | +2.2 pts |
| 169 | Cascade County | 20.8 | +0.6 pts |
| 169 | Chattahoochee County | 20.8 | -0.2 pts |
| 169 | Cortland County | 20.8 | +3.2 pts |
| 169 | Crowley County | 20.8 | +1.3 pts |
| 169 | Glasscock County | 20.8 | +2.7 pts |
| 169 | Guthrie County | 20.8 | +2.6 pts |
| 169 | Hanson County | 20.8 | +1.7 pts |
| 169 | Lassen County | 20.8 | +2.6 pts |
| 169 | Lewis and Clark County | 20.8 | +1 pts |
| 169 | Mitchell County | 20.8 | +2.1 pts |
| 169 | Pennington County | 20.8 | +1.4 pts |
| 169 | Riley County | 20.8 | -2.9 pts |
| 169 | Sibley County | 20.8 | +2.5 pts |
| 169 | Taylor County | 20.8 | -0.8 pts |
| 169 | Waukesha County | 20.8 | -1 pts |
| 187 | Albany County | 20.7 | +3.9 pts |
| 187 | Boulder County | 20.7 | +1.4 pts |
| 187 | Emmet County | 20.7 | +2.3 pts |
| 187 | Kendall County | 20.7 | +3.1 pts |
| 187 | Lafayette County | 20.7 | -0.2 pts |
| 187 | Mahaska County | 20.7 | +2.1 pts |
| 187 | Mille Lacs County | 20.7 | +2.8 pts |
| 187 | Northwest Arctic Borough | 20.7 | +2.1 pts |
| 187 | Polk County | 20.7 | +0.1 pts |
| 187 | Polk County | 20.7 | +1.8 pts |
| 187 | Teton County | 20.7 | +1.4 pts |
| 187 | Winnebago County | 20.7 | +2 pts |
| 199 | Carver County | 20.6 | +0.9 pts |
| 199 | Chouteau County | 20.6 | +2.3 pts |
| 199 | Crow Wing County | 20.6 | +4.6 pts |
| 199 | DeKalb County | 20.6 | +2.9 pts |
| 199 | Grand County | 20.6 | +1.2 pts |
| 199 | Ida County | 20.6 | +2.8 pts |
| 199 | Isabella County | 20.6 | +2.7 pts |
| 199 | Manitowoc County | 20.6 | -0.1 pts |
| 199 | Marshall County | 20.6 | +2.7 pts |
| 199 | Poweshiek County | 20.6 | +2.1 pts |
| 199 | Washington County | 20.6 | +1.3 pts |
| 210 | Buffalo County | 20.5 | -0.2 pts |
| 210 | Carbon County | 20.5 | +2.1 pts |
| 210 | Chickasaw County | 20.5 | +1.6 pts |
| 210 | Fayette County | 20.5 | +2.9 pts |
| 210 | Grundy County | 20.5 | +2.7 pts |
| 210 | Guadalupe County | 20.5 | +2.9 pts |
| 210 | McLean County | 20.5 | +3.5 pts |
| 210 | Oconto County | 20.5 | -0.5 pts |
| 210 | Santa Cruz County | 20.5 | +4.9 pts |
| 210 | Steele County | 20.5 | +2 pts |
| 210 | Stillwater County | 20.5 | +0.7 pts |
| 210 | Trempealeau County | 20.5 | -1.1 pts |
| 210 | Washington County | 20.5 | +2.2 pts |
| 223 | Aleutians West Census Area | 20.4 | +2.3 pts |
| 223 | Anoka County | 20.4 | +1.4 pts |
| 223 | Bristol Bay Borough | 20.4 | +2.7 pts |
| 223 | Buffalo County | 20.4 | -1 pts |
| 223 | Chittenden County | 20.4 | +0.5 pts |
| 223 | Dawson County | 20.4 | -0.3 pts |
| 223 | Jefferson County | 20.4 | +1.3 pts |
| 223 | Johnson County | 20.4 | -0.4 pts |
| 223 | McCook County | 20.4 | +1.7 pts |
| 223 | Mower County | 20.4 | +3.5 pts |
| 223 | Putnam County | 20.4 | +2.9 pts |
| 223 | Rice County | 20.4 | +2.4 pts |
| 223 | Richmond city | 20.4 | +1 pts |
| 223 | Rock County | 20.4 | +2.4 pts |
| 223 | Shawano County | 20.4 | +0.1 pts |
| 223 | St. Charles County | 20.4 | +2.3 pts |
| 239 | Audubon County | 20.3 | +3.2 pts |
| 239 | Cherokee County | 20.3 | +3.1 pts |
| 239 | Chugach Census Area | 20.3 | +1.9 pts |
| 239 | Ellis County | 20.3 | +1.2 pts |
| 239 | Goodhue County | 20.3 | +3.2 pts |
| 239 | Hamilton County | 20.3 | +1.6 pts |
| 239 | Kandiyohi County | 20.3 | +3.2 pts |
| 239 | Monroe County | 20.3 | +3.7 pts |
| 239 | Parker County | 20.3 | +1.9 pts |
| 239 | Ransom County | 20.3 | +2 pts |
| 239 | Rockwall County | 20.3 | +1.2 pts |
| 239 | Sargent County | 20.3 | -0.2 pts |
Other periods
About this ranking
Percentage of adults who had 5 or more drinks (men) or 4 or more drinks (women) on at least one occasion in the past 30 days. Model-based estimate for adults aged 18 and over from CDC PLACES. Crude prevalence, not age-adjusted.
US counties and cities (incorporated places of 10,000 or more). CDC PLACES combines Behavioral Risk Factor Surveillance System (BRFSS) answers with local population data through multilevel regression and poststratification, so a county or city value is a model estimate, not a survey count. The year is the BRFSS survey year, not the release year. CDC says the method does not support tracking change in a place over time, and each annual release can change the model, so values for different years are not strictly comparable. A state is missing in a year when its BRFSS data did not meet standards (Kentucky and Pennsylvania in 2023, Florida in 2021). Connecticut counties appear as its nine planning regions from 2022; its eight former counties are not served. City values for 2021 come from the 2023 release, built on 2010 Census place boundaries; later years use 2020 boundaries.
Every value in the ranking comes from the same publisher and the same period, so the counties are compared on one definition. Equal values share a rank.
How to cite
Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.
Citation styles
APA 7
Centers for Disease Control and Prevention. (2025). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence (US counties by binge drinking in adults, local model estimate, 2022) [Data set]. Retrieved October 12, 2026, from https://www.cdc.gov/places/
MLA 9
PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence, US counties by binge drinking in adults, local model estimate, 2022. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-binge-drinking-rate-county-estimate/us-counties?period=2022. Accessed 12 Oct. 2026.
Chicago (author-date)
Centers for Disease Control and Prevention. 2025. PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence. US counties by binge drinking in adults, local model estimate, 2022. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-binge-drinking-rate-county-estimate/us-counties?period=2022.
Harvard
Centers for Disease Control and Prevention (2025) PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence, US counties by binge drinking in adults, local model estimate, 2022 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-binge-drinking-rate-county-estimate/us-counties?period=2022 (Accessed: 12 October 2026).
BibTeX
@misc{centers_us_counties_by_binge_2022,
author = {{Centers for Disease Control and Prevention}},
title = {{PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence: US counties by binge drinking in adults, local model estimate, 2022}},
year = {2025},
howpublished = {Data set},
url = {https://www.cdc.gov/places/},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/adult-binge-drinking-rate-county-estimate/us-counties?period=2022. Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.},
}
RIS
TY - DATA
AU - Centers for Disease Control and Prevention
TI - PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence: US counties by binge drinking in adults, local model estimate, 2022
PY - 2025
DA - 2025/12/04
PB - Centers for Disease Control and Prevention
DB - Invokely
UR - https://www.cdc.gov/places/
L2 - https://invokely.ai/rankings/adult-binge-drinking-rate-county-estimate/us-counties?period=2022
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/adult-binge-drinking-rate-county-estimate/us-counties?period=2022.
N1 - Publisher attribution: Centers for Disease Control and Prevention (CDC). PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence. https://www.cdc.gov/places/. Retrieved 2026-10-12. These data are available free from CDC. Use does not imply endorsement by CDC, ATSDR, HHS or the United States Government.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank US counties by binge drinking in adults, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_binge_drinking_rate_modelled","level":"province","within":"United States","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_binge_drinking_rate_modelled&level=province&within=United%20States&limit=10
Questions
Which county has the highest binge drinking in adults, local model estimate?
Missoula County, with 26% in 2022, according to the Centers for Disease Control and Prevention.
Which county has the lowest binge drinking in adults, local model estimate?
Greene County, with 9.1% in 2022.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Centers for Disease Control and Prevention, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), binge drinking in adults, crude prevalence. Retrieved 2026-10-12.
Binge drinking in adults, local model estimate: other rankings
- Counties in Ohio
- Counties in Massachusetts
- Counties in Iowa
- Cities in New Hampshire
- Cities in Nebraska
- Cities in Delaware
US counties: more rankings
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- Graduate or professional degree, population 25 and over
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