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

Counties in Mississippi by adult obesity rate, local model estimate

Holmes County had the highest adult obesity rate, local model estimate of 82 counties in 2022, at 52.2%. Harrison County had the lowest, at 34.4%. The median was 43.3%. Source: the Centers for Disease Control and Prevention.

Keep it in a collection in your library.
Highest52.2Holmes County
Lowest34.4Harrison County
Median43.382 counties

Map of counties, 2022

Adams County: 43.6 %Alcorn County: 42.4 %Amite County: 44.6 %Attala County: 44.2 %Benton County: 43.9 %Bolivar County: 45.2 %Calhoun County: 41.7 %Carroll County: 41.7 %Chickasaw County: 46.9 %Choctaw County: 41.3 %Claiborne County: 49.2 %Clarke County: 44.4 %Clay County: 42 %Coahoma County: 47.8 %Copiah County: 45.8 %Covington County: 41.3 %DeSoto County: 40 %Forrest County: 41.7 %Franklin County: 41.7 %George County: 40.8 %Greene County: 42.6 %Grenada County: 45.1 %Hancock County: 36.2 %Harrison County: 34.4 %Hinds County: 46.3 %Holmes County: 52.2 %Humphreys County: 50.6 %Issaquena County: 44.4 %Itawamba County: 37 %Jackson County: 38.4 %Jasper County: 43.6 %Jefferson County: 51.7 %Jefferson Davis County: 43.3 %Jones County: 43 %Kemper County: 45.4 %Lafayette County: 37.6 %Lamar County: 39.6 %Lauderdale County: 38.8 %Lawrence County: 43.4 %Leake County: 45.2 %Lee County: 40.7 %Leflore County: 45.3 %Lincoln County: 43.1 %Lowndes County: 43.6 %Madison County: 37.3 %Marion County: 43.9 %Marshall County: 44.1 %Monroe County: 40.8 %Montgomery County: 45.4 %Neshoba County: 42 %Newton County: 43.5 %Noxubee County: 46.5 %Oktibbeha County: 36 %Panola County: 46 %Pearl River County: 39.9 %Perry County: 41.9 %Pike County: 45.3 %Pontotoc County: 43.2 %Prentiss County: 39.5 %Quitman County: 50.3 %Rankin County: 36.3 %Scott County: 45.9 %Sharkey County: 49.6 %Simpson County: 41.6 %Smith County: 41.7 %Stone County: 41.1 %Sunflower County: 47.3 %Tallahatchie County: 44.8 %Tate County: 39.9 %Tippah County: 41.7 %Tishomingo County: 39.9 %Tunica County: 50.2 %Union County: 40.1 %Walthall County: 41.3 %Warren County: 41.8 %Washington County: 44.5 %Wayne County: 45 %Webster County: 40 %Wilkinson County: 49.1 %Winston County: 44.5 %Yalobusha County: 42.9 %Yazoo County: 45.6 %
  • Under 40
  • 40 to 42
  • 42 to 43
  • 43 to 45
  • 45 to 46
  • 46 and over
%, 2022. 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.

Top 40 counties, 2022

Holmes County: 52.2 %Holmes County52.2Jefferson County: 51.7 %Jefferson County51.7Humphreys County: 50.6 %Humphreys County50.6Quitman County: 50.3 %Quitman County50.3Tunica County: 50.2 %Tunica County50.2Sharkey County: 49.6 %Sharkey County49.6Claiborne County: 49.2 %Claiborne County49.2Wilkinson County: 49.1 %Wilkinson County49.1Coahoma County: 47.8 %Coahoma County47.8Sunflower County: 47.3 %Sunflower County47.3Chickasaw County: 46.9 %Chickasaw County46.9Noxubee County: 46.5 %Noxubee County46.5Hinds County: 46.3 %Hinds County46.3Panola County: 46 %Panola County46Scott County: 45.9 %Scott County45.9Copiah County: 45.8 %Copiah County45.8Yazoo County: 45.6 %Yazoo County45.6Kemper County: 45.4 %Kemper County45.4Montgomery County: 45.4 %Montgomery County45.4Leflore County: 45.3 %Leflore County45.3Pike County: 45.3 %Pike County45.3Bolivar County: 45.2 %Bolivar County45.2Leake County: 45.2 %Leake County45.2Grenada County: 45.1 %Grenada County45.1Wayne County: 45 %Wayne County45Tallahatchie County: 44.8 %Tallahatchie County44.8Amite County: 44.6 %Amite County44.6Washington County: 44.5 %Washington County44.5Winston County: 44.5 %Winston County44.5Clarke County: 44.4 %Clarke County44.4Issaquena County: 44.4 %Issaquena County44.4Attala County: 44.2 %Attala County44.2Marshall County: 44.1 %Marshall County44.1Benton County: 43.9 %Benton County43.9Marion County: 43.9 %Marion County43.9Adams County: 43.6 %Adams County43.6Jasper County: 43.6 %Jasper County43.6Lowndes County: 43.6 %Lowndes County43.6Newton County: 43.5 %Newton County43.5Lawrence County: 43.4 %Lawrence County43.4Holmes County: 52.2 %Holmes County52.2Jefferson County: 51.7 %Jefferson County51.7Humphreys County: 50.6 %Humphreys County50.6Quitman County: 50.3 %Quitman County50.3Tunica County: 50.2 %Tunica County50.2Sharkey County: 49.6 %Sharkey County49.6Claiborne County: 49.2 %Claiborne County49.2Wilkinson County: 49.1 %Wilkinson County49.1Coahoma County: 47.8 %Coahoma County47.8Sunflower County: 47.3 %Sunflower County47.3Chickasaw County: 46.9 %Chickasaw County46.9Noxubee County: 46.5 %Noxubee County46.5Hinds County: 46.3 %Hinds County46.3Panola County: 46 %Panola County46Scott County: 45.9 %Scott County45.9Copiah County: 45.8 %Copiah County45.8Yazoo County: 45.6 %Yazoo County45.6Kemper County: 45.4 %Kemper County45.4Montgomery County: 45.4 %Montgomery County45.4Leflore County: 45.3 %Leflore County45.3Pike County: 45.3 %Pike County45.3Bolivar County: 45.2 %Bolivar County45.2Leake County: 45.2 %Leake County45.2Grenada County: 45.1 %Grenada County45.1Wayne County: 45 %Wayne County45Tallahatchie County: 44.8 %Tallahatchie County44.8Amite County: 44.6 %Amite County44.6Washington County: 44.5 %Washington County44.5Winston County: 44.5 %Winston County44.5Clarke County: 44.4 %Clarke County44.4Issaquena County: 44.4 %Issaquena County44.4Attala County: 44.2 %Attala County44.2Marshall County: 44.1 %Marshall County44.1Benton County: 43.9 %Benton County43.9Marion County: 43.9 %Marion County43.9Adams County: 43.6 %Adams County43.6Jasper County: 43.6 %Jasper County43.6Lowndes County: 43.6 %Lowndes County43.6Newton County: 43.5 %Newton County43.5Lawrence County: 43.4 %Lawrence County43.4
%. 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

RankCounties2022 (%)Change on 2021
1Holmes County52.2+2.3 pts
2Jefferson County51.7+4.8 pts
3Humphreys County50.6+0.2 pts
4Quitman County50.3+2.3 pts
5Tunica County50.2+1.4 pts
6Sharkey County49.6+2 pts
7Claiborne County49.2+1.1 pts
8Wilkinson County49.1+3.6 pts
9Coahoma County47.8-2.6 pts
10Sunflower County47.3-3.4 pts
11Chickasaw County46.9+2.4 pts
12Noxubee County46.5-1.1 pts
13Hinds County46.3+3.1 pts
14Panola County46+4.1 pts
15Scott County45.9+2.8 pts
16Copiah County45.8+2.6 pts
17Yazoo County45.6-0.6 pts
18Kemper County45.4+3.6 pts
18Montgomery County45.4+0.4 pts
20Leflore County45.3-3.7 pts
20Pike County45.3+0.6 pts
22Bolivar County45.2+0.7 pts
22Leake County45.2+1 pts
24Grenada County45.1+2.2 pts
25Wayne County45+3.1 pts
26Tallahatchie County44.8-1.6 pts
27Amite County44.6+2.9 pts
28Washington County44.5+0.3 pts
28Winston County44.5+2.7 pts
30Clarke County44.4-0.5 pts
30Issaquena County44.4-0.1 pts
32Attala County44.2+1.3 pts
33Marshall County44.1-0.1 pts
34Benton County43.9+0.8 pts
34Marion County43.9+1 pts
36Adams County43.6-0.9 pts
36Jasper County43.6+0.4 pts
36Lowndes County43.6+2.6 pts
39Newton County43.5+1.2 pts
40Lawrence County43.40 pts
41Jefferson Davis County43.3-0.4 pts
42Pontotoc County43.2+5.7 pts
43Lincoln County43.1+1 pts
44Jones County43+3.7 pts
45Yalobusha County42.9-0.6 pts
46Greene County42.6+3.7 pts
47Alcorn County42.4+3.7 pts
48Clay County42-2.5 pts
48Neshoba County42-1.4 pts
50Perry County41.9+0.8 pts
51Warren County41.8-0.2 pts
52Calhoun County41.7+0.1 pts
52Carroll County41.7+1.5 pts
52Forrest County41.7+2.9 pts
52Franklin County41.7-1 pts
52Smith County41.7+0.2 pts
52Tippah County41.7+1.7 pts
58Simpson County41.6-2.8 pts
59Choctaw County41.3+3.1 pts
59Covington County41.3-0.8 pts
59Walthall County41.3-1.5 pts
62Stone County41.1+0.1 pts
63George County40.8+1.1 pts
63Monroe County40.8+1.7 pts
65Lee County40.7+4.8 pts
66Union County40.1-1.1 pts
67DeSoto County40-1 pts
67Webster County40+1.8 pts
69Pearl River County39.9+0.8 pts
69Tate County39.9+0.3 pts
69Tishomingo County39.9+1.3 pts
72Lamar County39.6+0.8 pts
73Prentiss County39.5-0.5 pts
74Lauderdale County38.8-4.2 pts
75Jackson County38.4+2.7 pts
76Lafayette County37.6+4 pts
77Madison County37.3+1 pts
78Itawamba County37+1.5 pts
79Rankin County36.3-0.2 pts
80Hancock County36.2-1.4 pts
81Oktibbeha County36-3.7 pts
82Harrison County34.4-1.3 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 Mississippi by adult obesity rate, 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), adult obesity rate, crude prevalence, Counties in Mississippi by adult obesity rate, local model estimate, 2022. Centers for Disease Control and Prevention, 4 Dec. 2025, https://www.cdc.gov/places/. Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/mississippi-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), adult obesity rate, crude prevalence. Counties in Mississippi by adult obesity rate, local model estimate, 2022. Dataset. Accessed October 12, 2026. https://www.cdc.gov/places/. Also distributed by Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/mississippi-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), adult obesity rate, crude prevalence, Counties in Mississippi by adult obesity rate, local model estimate, 2022 [Dataset]. Available at: https://www.cdc.gov/places/, via Invokely: https://invokely.ai/rankings/adult-obesity-rate-county-estimate/mississippi-counties?period=2022 (Accessed: 12 October 2026).

BibTeX
@misc{centers_counties_in_mississippi_by_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), adult obesity rate, crude prevalence: Counties in Mississippi by adult obesity rate, 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-obesity-rate-county-estimate/mississippi-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), 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 Mississippi by adult obesity rate, 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-obesity-rate-county-estimate/mississippi-counties?period=2022
Y2  - 2026/10/12
N1  - Accessed via Invokely, https://invokely.ai/rankings/adult-obesity-rate-county-estimate/mississippi-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), 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 Mississippi by adult obesity rate, local model estimate using official data, and cite the source.
rank_places {"indicator":"adult_obesity_rate_modelled","level":"province","within":"Mississippi","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=adult_obesity_rate_modelled&level=province&within=Mississippi&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?

Holmes County, with 52.2% in 2022, according to the Centers for Disease Control and Prevention.

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

Harrison County, with 34.4% 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), adult obesity rate, crude prevalence. Retrieved 2026-10-12.

Adult obesity rate, local model estimate: other rankings

Counties in Mississippi: more rankings