Data / Rankings / Adult obesity rate, local model estimate / Counties in Washington

Counties in Washington by adult obesity rate, local model estimate

Garfield County had the highest adult obesity rate, local model estimate of 39 counties in 2021, at 40.4%. King County had the lowest, at 23.6%. The median was 32.5%. Source: the Centers for Disease Control and Prevention.

Keep it in a collection in your library.
Highest40.4Garfield County
Lowest23.6King County
Median32.539 counties

Map of counties, 2021

Adams County: 38.7 %Asotin County: 34.1 %Benton County: 32.6 %Chelan County: 30.7 %Clallam County: 29.8 %Clark County: 32.2 %Columbia County: 32.6 %Cowlitz County: 37.1 %Douglas County: 32.5 %Ferry County: 35.5 %Franklin County: 36.5 %Garfield County: 40.4 %Grant County: 36.4 %Grays Harbor County: 34.9 %Island County: 30.2 %Jefferson County: 30.8 %King County: 23.6 %Kitsap County: 32.2 %Kittitas County: 28.8 %Klickitat County: 31 %Lewis County: 35.4 %Lincoln County: 32 %Mason County: 34.6 %Okanogan County: 31.6 %Pacific County: 35.1 %Pend Oreille County: 33.2 %Pierce County: 34 %San Juan County: 23.9 %Skagit County: 29.7 %Skamania County: 29.9 %Snohomish County: 32.9 %Spokane County: 29.4 %Stevens County: 32.2 %Thurston County: 32.5 %Wahkiakum County: 34.2 %Walla Walla County: 32.6 %Whatcom County: 24.5 %Whitman County: 30.4 %Yakima County: 39.3 %
  • Under 30
  • 30 to 31
  • 31 to 33
  • 33 to 34
  • 34 to 35
  • 35 and over
%, 2021. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. Boundaries: U.S. Census Bureau cartographic boundary files.

All counties, 2021

Garfield County: 40.4 %Garfield County40.4Yakima County: 39.3 %Yakima County39.3Adams County: 38.7 %Adams County38.7Cowlitz County: 37.1 %Cowlitz County37.1Franklin County: 36.5 %Franklin County36.5Grant County: 36.4 %Grant County36.4Ferry County: 35.5 %Ferry County35.5Lewis County: 35.4 %Lewis County35.4Pacific County: 35.1 %Pacific County35.1Grays Harbor County: 34.9 %Grays Harbor County34.9Mason County: 34.6 %Mason County34.6Wahkiakum County: 34.2 %Wahkiakum County34.2Asotin County: 34.1 %Asotin County34.1Pierce County: 34 %Pierce County34Pend Oreille County: 33.2 %Pend Oreille County33.2Snohomish County: 32.9 %Snohomish County32.9Benton County: 32.6 %Benton County32.6Columbia County: 32.6 %Columbia County32.6Walla Walla County: 32.6 %Walla Walla County32.6Douglas County: 32.5 %Douglas County32.5Thurston County: 32.5 %Thurston County32.5Clark County: 32.2 %Clark County32.2Kitsap County: 32.2 %Kitsap County32.2Stevens County: 32.2 %Stevens County32.2Lincoln County: 32 %Lincoln County32Okanogan County: 31.6 %Okanogan County31.6Klickitat County: 31 %Klickitat County31Jefferson County: 30.8 %Jefferson County30.8Chelan County: 30.7 %Chelan County30.7Whitman County: 30.4 %Whitman County30.4Island County: 30.2 %Island County30.2Skamania County: 29.9 %Skamania County29.9Clallam County: 29.8 %Clallam County29.8Skagit County: 29.7 %Skagit County29.7Spokane County: 29.4 %Spokane County29.4Kittitas County: 28.8 %Kittitas County28.8Whatcom County: 24.5 %Whatcom County24.5San Juan County: 23.9 %San Juan County23.9King County: 23.6 %King County23.6Garfield County: 40.4 %Garfield County40.4Yakima County: 39.3 %Yakima County39.3Adams County: 38.7 %Adams County38.7Cowlitz County: 37.1 %Cowlitz County37.1Franklin County: 36.5 %Franklin County36.5Grant County: 36.4 %Grant County36.4Ferry County: 35.5 %Ferry County35.5Lewis County: 35.4 %Lewis County35.4Pacific County: 35.1 %Pacific County35.1Grays Harbor County: 34.9 %Grays Harbor County34.9Mason County: 34.6 %Mason County34.6Wahkiakum County: 34.2 %Wahkiakum County34.2Asotin County: 34.1 %Asotin County34.1Pierce County: 34 %Pierce County34Pend Oreille County: 33.2 %Pend Oreille County33.2Snohomish County: 32.9 %Snohomish County32.9Benton County: 32.6 %Benton County32.6Columbia County: 32.6 %Columbia County32.6Walla Walla County: 32.6 %Walla Walla County32.6Douglas County: 32.5 %Douglas County32.5Thurston County: 32.5 %Thurston County32.5Clark County: 32.2 %Clark County32.2Kitsap County: 32.2 %Kitsap County32.2Stevens County: 32.2 %Stevens County32.2Lincoln County: 32 %Lincoln County32Okanogan County: 31.6 %Okanogan County31.6Klickitat County: 31 %Klickitat County31Jefferson County: 30.8 %Jefferson County30.8Chelan County: 30.7 %Chelan County30.7Whitman County: 30.4 %Whitman County30.4Island County: 30.2 %Island County30.2Skamania County: 29.9 %Skamania County29.9Clallam County: 29.8 %Clallam County29.8Skagit County: 29.7 %Skagit County29.7Spokane County: 29.4 %Spokane County29.4Kittitas County: 28.8 %Kittitas County28.8Whatcom County: 24.5 %Whatcom County24.5San Juan County: 23.9 %San Juan County23.9King County: 23.6 %King County23.6
%. Source: CDC, PLACES: Local Data for Better Health, County Data (swc5-untb, fu4u-a9bh, h3ej-a9ec and later releases), adult obesity rate, crude prevalence. Retrieved 2026-10-12.

Full ranking

RankCounties2021 (%)
1Garfield County40.4
2Yakima County39.3
3Adams County38.7
4Cowlitz County37.1
5Franklin County36.5
6Grant County36.4
7Ferry County35.5
8Lewis County35.4
9Pacific County35.1
10Grays Harbor County34.9
11Mason County34.6
12Wahkiakum County34.2
13Asotin County34.1
14Pierce County34
15Pend Oreille County33.2
16Snohomish County32.9
17Benton County32.6
17Columbia County32.6
17Walla Walla County32.6
20Douglas County32.5
20Thurston County32.5
22Clark County32.2
22Kitsap County32.2
22Stevens County32.2
25Lincoln County32
26Okanogan County31.6
27Klickitat County31
28Jefferson County30.8
29Chelan County30.7
30Whitman County30.4
31Island County30.2
32Skamania County29.9
33Clallam County29.8
34Skagit County29.7
35Spokane County29.4
36Kittitas County28.8
37Whatcom County24.5
38San Juan County23.9
39King County23.6

Other periods

About this ranking

Percentage of adults with a body mass index of 30 or more, calculated from self-reported weight and height. 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. State and national values come from direct BRFSS estimates under adult_obesity_rate.

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), adult obesity rate, 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

The publisher is the author. Invokely is named only as the place the figures were read, where a style asks for it.

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), adult obesity rate, crude prevalence (Counties in Washington by adult obesity rate, local model estimate, 2021) [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), adult obesity rate, crude prevalence, Counties in Washington by adult obesity rate, local model estimate, 2021. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/washington-counties?period=2021. 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), adult obesity rate, crude prevalence. Counties in Washington by adult obesity rate, local model estimate, 2021. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/washington-counties?period=2021.

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), adult obesity rate, crude prevalence, Counties in Washington by adult obesity rate, local model estimate, 2021 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-obesity-rate-county-estimate/washington-counties?period=2021 (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_washington_by_2021,
  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), adult obesity rate, crude prevalence: Counties in Washington by adult obesity rate, local model estimate, 2021}},
  year = {2025},
  howpublished = {Data set},
  url = {https://www.cdc.gov/places/},
  urldate = {2026-10-12},
  note = {Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/washington-counties?period=2021. 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), adult obesity rate, 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), adult obesity rate, crude prevalence: Counties in Washington by adult obesity rate, local model estimate, 2021
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-obesity-rate-county-estimate/washington-counties?period=2021
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/washington-counties?period=2021.
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), adult obesity rate, 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  -
Embed this chart

Paste this code into a web page or a blog post. The chart shows the latest figures as they are published, with the source and a link back to this page.

Sites that read oEmbed links, such as WordPress, can show the chart when you paste the link to this page.

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 Counties in Washington by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"Washington","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=Washington&limit=10

Connect Claude, ChatGPT or Cursor in one step. The trial answers 25 calls a day without an account.

Questions

Which county has the highest adult obesity rate, local model estimate?

Garfield County, with 40.4% in 2021, according to the Centers for Disease Control and Prevention.

Which county has the lowest adult obesity rate, local model estimate?

King County, with 23.6% in 2021.

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), adult obesity rate, crude prevalence. Retrieved 2026-10-12.

Adult obesity rate, local model estimate: other rankings

Counties in Washington: more rankings