Counties in New Mexico by adult obesity rate, local model estimate, 2023

McKinley County had the highest adult obesity rate, local model estimate of 33 counties in 2023, at 41.3%. Los Alamos County had the lowest, at 25.4%. The median was 35.3%. Source: the Centers for Disease Control and Prevention.

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Highest41.3McKinley County
Median35.333 counties

Map of counties, 2023

Bernalillo County: 33 %Catron County: 31.6 %Chaves County: 39.8 %Cibola County: 39.1 %Colfax County: 31.5 %Curry County: 39.4 %De Baca County: 32.5 %Doña Ana County: 35.9 %Eddy County: 39.8 %Grant County: 32.8 %Guadalupe County: 36.8 %Harding County: 35.3 %Hidalgo County: 34.5 %Lea County: 37 %Lincoln County: 30 %Los Alamos County: 25.4 %Luna County: 35.7 %McKinley County: 41.3 %Mora County: 33.1 %Otero County: 37.1 %Quay County: 37.6 %Rio Arriba County: 39.9 %Roosevelt County: 32.6 %Sandoval County: 32.6 %San Juan County: 35.1 %San Miguel County: 37.3 %Santa Fe County: 25.6 %Sierra County: 36.8 %Socorro County: 36.2 %Taos County: 27.9 %Torrance County: 34.5 %Union County: 34.3 %Valencia County: 35.4 %
  • Under 32
  • 32 to 33
  • 33 to 35
  • 35 to 37
  • 37 to 39
  • 39 and over
%, 2023. 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, 2023

McKinley County: 41.3 %McKinley County41.3Rio Arriba County: 39.9 %Rio Arriba County39.9Chaves County: 39.8 %Chaves County39.8Eddy County: 39.8 %Eddy County39.8Curry County: 39.4 %Curry County39.4Cibola County: 39.1 %Cibola County39.1Quay County: 37.6 %Quay County37.6San Miguel County: 37.3 %San Miguel County37.3Otero County: 37.1 %Otero County37.1Lea County: 37 %Lea County37Guadalupe County: 36.8 %Guadalupe County36.8Sierra County: 36.8 %Sierra County36.8Socorro County: 36.2 %Socorro County36.2Doña Ana County: 35.9 %Doña Ana County35.9Luna County: 35.7 %Luna County35.7Valencia County: 35.4 %Valencia County35.4Harding County: 35.3 %Harding County35.3San Juan County: 35.1 %San Juan County35.1Hidalgo County: 34.5 %Hidalgo County34.5Torrance County: 34.5 %Torrance County34.5Union County: 34.3 %Union County34.3Mora County: 33.1 %Mora County33.1Bernalillo County: 33 %Bernalillo County33Grant County: 32.8 %Grant County32.8Roosevelt County: 32.6 %Roosevelt County32.6Sandoval County: 32.6 %Sandoval County32.6De Baca County: 32.5 %De Baca County32.5Catron County: 31.6 %Catron County31.6Colfax County: 31.5 %Colfax County31.5Lincoln County: 30 %Lincoln County30Taos County: 27.9 %Taos County27.9Santa Fe County: 25.6 %Santa Fe County25.6Los Alamos County: 25.4 %Los Alamos County25.4McKinley County: 41.3 %McKinley County41.3Rio Arriba County: 39.9 %Rio Arriba County39.9Chaves County: 39.8 %Chaves County39.8Eddy County: 39.8 %Eddy County39.8Curry County: 39.4 %Curry County39.4Cibola County: 39.1 %Cibola County39.1Quay County: 37.6 %Quay County37.6San Miguel County: 37.3 %San Miguel County37.3Otero County: 37.1 %Otero County37.1Lea County: 37 %Lea County37Guadalupe County: 36.8 %Guadalupe County36.8Sierra County: 36.8 %Sierra County36.8Socorro County: 36.2 %Socorro County36.2Doña Ana County: 35.9 %Doña Ana County35.9Luna County: 35.7 %Luna County35.7Valencia County: 35.4 %Valencia County35.4Harding County: 35.3 %Harding County35.3San Juan County: 35.1 %San Juan County35.1Hidalgo County: 34.5 %Hidalgo County34.5Torrance County: 34.5 %Torrance County34.5Union County: 34.3 %Union County34.3Mora County: 33.1 %Mora County33.1Bernalillo County: 33 %Bernalillo County33Grant County: 32.8 %Grant County32.8Roosevelt County: 32.6 %Roosevelt County32.6Sandoval County: 32.6 %Sandoval County32.6De Baca County: 32.5 %De Baca County32.5Catron County: 31.6 %Catron County31.6Colfax County: 31.5 %Colfax County31.5Lincoln County: 30 %Lincoln County30Taos County: 27.9 %Taos County27.9Santa Fe County: 25.6 %Santa Fe County25.6Los Alamos County: 25.4 %Los Alamos County25.4
%. 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

RankCounties2023 (%)Change on 2022
1McKinley County41.3+4 pts
2Rio Arriba County39.9+1.2 pts
3Chaves County39.8-1.6 pts
3Eddy County39.8+0.7 pts
5Curry County39.4+5.4 pts
6Cibola County39.1+1 pts
7Quay County37.6+2.3 pts
8San Miguel County37.3+2.7 pts
9Otero County37.1-0.6 pts
10Lea County37+1.9 pts
11Guadalupe County36.8+1.9 pts
11Sierra County36.8+4.7 pts
13Socorro County36.2+2.5 pts
14Doña Ana County35.9+1.8 pts
15Luna County35.7-2.1 pts
16Valencia County35.4+0.3 pts
17Harding County35.3+1.5 pts
18San Juan County35.1-3 pts
19Hidalgo County34.5+0.4 pts
19Torrance County34.50 pts
21Union County34.3-0.7 pts
22Mora County33.1-3.3 pts
23Bernalillo County33+5.3 pts
24Grant County32.8-0.9 pts
25Roosevelt County32.6+0.7 pts
25Sandoval County32.6+1.7 pts
27De Baca County32.5+0.2 pts
28Catron County31.6-0.6 pts
29Colfax County31.5-3.5 pts
30Lincoln County30-0.3 pts
31Taos County27.9-0.8 pts
32Santa Fe County25.6+2.7 pts
33Los Alamos County25.4+2.8 pts

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 New Mexico by adult obesity rate, local model estimate, 2023) [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 New Mexico by adult obesity rate, local model estimate, 2023. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/new-mexico-counties. 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 New Mexico by adult obesity rate, local model estimate, 2023. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/new-mexico-counties.

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 New Mexico by adult obesity rate, local model estimate, 2023 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-obesity-rate-county-estimate/new-mexico-counties (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_new_mexico_2023,
  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 New Mexico by adult obesity rate, local model estimate, 2023}},
  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/new-mexico-counties. 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 New Mexico by adult obesity rate, local model estimate, 2023
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/new-mexico-counties
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/new-mexico-counties.
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  - 
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Rank Counties in New Mexico by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"New Mexico","limit":10}
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Questions

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

McKinley County, with 41.3% in 2023, according to the Centers for Disease Control and Prevention.

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

Los Alamos County, with 25.4% in 2023.

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 New Mexico: more rankings