Americans are some of the most overweight people in the world, not just stereotypically but statistically too. In fact, nearly 42% of U.S. adults are obese. Such a finding should come as no surprise, though, considering the huge availability of fast-food and cheap unhealthy grocery items that have negatively altered our diets. Unfortunately, the extra pounds have inflated the costs of obesity-related medical treatment to approximately $190.2 billion a year and annual productivity losses due to work absenteeism to around $4.3 billion.
Certain places are more responsible than others for tipping the scale in favor of poor health, though. To identify them, WalletHub compared 100 of the most populated U.S. metro areas across 19 key indicators of weight-related problems. Our data set ranges from the share of physically inactive adults to projected obesity rates by 2030 to healthy-food access.

Chip Lupo, WalletHub Analyst
Main Findings
Fattest Cities in the U.S.
Overall Rank | Metro Area | Total Score | Obesity & Overweight Rank | Health Consequences Rank | Food & Fitness Rank |
---|---|---|---|---|---|
1 | McAllen, TX | 84.90 | 3 | 5 | 3 |
2 | Little Rock, AR | 83.82 | 5 | 4 | 7 |
3 | Jackson, MS | 83.39 | 1 | 13 | 17 |
4 | Mobile, AL | 83.36 | 8 | 2 | 12 |
5 | Knoxville, TN | 82.99 | 23 | 1 | 18 |
6 | Shreveport, LA | 82.46 | 12 | 3 | 14 |
7 | Augusta, GA | 81.51 | 16 | 9 | 9 |
8 | Lafayette, LA | 81.36 | 9 | 12 | 15 |
9 | Fayetteville, AR | 81.31 | 4 | 17 | 25 |
10 | Birmingham, AL | 81.21 | 22 | 10 | 5 |
11 | Memphis, TN | 81.17 | 25 | 6 | 2 |
12 | Oklahoma City, OK | 80.17 | 10 | 20 | 16 |
13 | San Antonio, TX | 79.13 | 6 | 7 | 59 |
14 | Baton Rouge, LA | 79.12 | 19 | 8 | 29 |
15 | Chattanooga, TN | 79.10 | 29 | 22 | 6 |
16 | Wichita, KS | 78.94 | 32 | 25 | 4 |
17 | New Orleans, LA | 78.90 | 7 | 23 | 33 |
18 | Columbia, SC | 78.89 | 30 | 24 | 8 |
19 | Myrtle Beach, SC | 78.51 | 21 | 27 | 23 |
20 | El Paso, TX | 78.13 | 2 | 72 | 27 |
21 | Canton, OH | 78.00 | 38 | 14 | 20 |
22 | Greenville, SC | 77.81 | 26 | 40 | 13 |
23 | Louisville, KY | 77.58 | 15 | 16 | 53 |
24 | Dallas, TX | 77.53 | 11 | 26 | 42 |
25 | Winston, NC | 77.40 | 64 | 11 | 1 |
26 | Tulsa, OK | 77.19 | 17 | 36 | 32 |
27 | Akron, OH | 76.69 | 18 | 54 | 39 |
28 | Dayton, OH | 76.56 | 27 | 35 | 38 |
29 | Fort Wayne, IN | 76.49 | 49 | 32 | 10 |
30 | Youngstown, OH | 76.46 | 20 | 77 | 19 |
31 | Greensboro, NC | 76.32 | 58 | 21 | 11 |
32 | Huntsville, AL | 76.22 | 30 | 94 | 21 |
33 | Houston, TX | 75.87 | 14 | 19 | 76 |
34 | Albuquerque, NM | 75.37 | 13 | 50 | 54 |
35 | Charleston, SC | 74.95 | 28 | 71 | 31 |
36 | Detroit, MI | 74.91 | 62 | 15 | 30 |
37 | Nashville, TN | 74.76 | 34 | 59 | 26 |
38 | Lexington-Fayette, KY | 74.76 | 35 | 39 | 34 |
39 | Toledo, OH | 74.75 | 37 | 52 | 24 |
40 | Indianapolis, IN | 74.03 | 46 | 34 | 41 |
41 | Cincinnati, OH | 73.68 | 33 | 18 | 80 |
42 | Charlotte, NC | 73.34 | 48 | 30 | 50 |
43 | Providence, RI | 73.31 | 56 | 37 | 51 |
44 | Richmond, VA | 72.73 | 72 | 28 | 40 |
45 | Kansas City, MO | 72.66 | 44 | 65 | 37 |
46 | Columbus, OH | 72.48 | 39 | 58 | 47 |
47 | Riverside, CA | 72.46 | 68 | 44 | 22 |
48 | Scranton, PA | 72.12 | 65 | 42 | 44 |
49 | Austin, TX | 72.09 | 24 | 45 | 87 |
50 | Virginia Beach, VA | 72.00 | 54 | 33 | 63 |
51 | Cleveland, OH | 72.00 | 36 | 76 | 55 |
52 | Omaha, NE | 71.88 | 40 | 43 | 69 |
53 | Phoenix, AZ | 71.73 | 60 | 49 | 43 |
54 | Des Moines, IA | 71.53 | 43 | 91 | 46 |
55 | Anchorage, AK | 71.29 | 45 | 62 | 61 |
56 | Reno, NV | 71.13 | 42 | 69 | 62 |
57 | Las Vegas, NV | 71.00 | 53 | 31 | 84 |
58 | Baltimore, MD | 70.93 | 55 | 55 | 60 |
59 | Grand Rapids, MI | 70.77 | 69 | 56 | 58 |
60 | Asheville, NC | 70.70 | 79 | 53 | 35 |
61 | Hartford, CT | 70.69 | 66 | 68 | 56 |
62 | Orlando, FL | 70.67 | 59 | 41 | 70 |
63 | Atlanta, GA | 70.32 | 41 | 47 | 85 |
64 | Raleigh, NC | 70.30 | 50 | 73 | 64 |
65 | Milwaukee, WI | 70.30 | 51 | 48 | 77 |
66 | Durham, NC | 70.08 | 73 | 81 | 28 |
67 | St. Louis, MO | 69.73 | 47 | 74 | 78 |
68 | Philadelphia, PA | 69.68 | 52 | 29 | 92 |
69 | Jacksonville, FL | 69.43 | 63 | 70 | 65 |
70 | Allentown, PA | 69.33 | 74 | 82 | 57 |
71 | New Haven, CT | 69.33 | 70 | 80 | 74 |
72 | Portland, ME | 68.46 | 80 | 67 | 67 |
73 | Springfield, MA | 68.29 | 90 | 38 | 66 |
74 | Tampa, FL | 68.27 | 67 | 57 | 79 |
75 | Manchester, NH | 67.90 | 91 | 46 | 52 |
76 | Pittsburgh, PA | 67.54 | 57 | 83 | 86 |
77 | Tucson, AZ | 67.45 | 75 | 64 | 83 |
78 | Spokane, WA | 66.88 | 85 | 85 | 49 |
79 | Worcester, MA | 66.73 | 87 | 88 | 48 |
80 | Bridgeport, CT | 66.44 | 78 | 99 | 72 |
81 | Ogden, UT | 66.36 | 95 | 51 | 45 |
82 | Chicago, IL | 66.24 | 61 | 86 | 94 |
83 | Los Angeles, CA | 65.88 | 83 | 66 | 82 |
84 | San Diego, CA | 65.48 | 86 | 63 | 89 |
85 | Boise, ID | 65.28 | 92 | 60 | 68 |
86 | Salt Lake City, UT | 64.58 | 97 | 61 | 75 |
87 | Provo, UT | 64.22 | 99 | 90 | 36 |
88 | Miami, FL | 64.08 | 76 | 100 | 81 |
89 | Washington, DC | 64.03 | 71 | 75 | 98 |
90 | Sacramento, CA | 63.92 | 81 | 89 | 93 |
91 | Portland, OR | 63.26 | 77 | 78 | 96 |
92 | New York, NY | 63.19 | 82 | 84 | 99 |
93 | Colorado Springs, CO | 62.70 | 98 | 79 | 71 |
94 | San Jose, CA | 62.40 | 88 | 95 | 91 |
95 | Minneapolis, MN | 62.30 | 84 | 92 | 90 |
96 | Boston, MA | 61.19 | 96 | 87 | 88 |
97 | San Francisco, CA | 61.11 | 89 | 98 | 97 |
98 | Denver, CO | 60.57 | 100 | 93 | 73 |
99 | Seattle, WA | 59.40 | 93 | 97 | 95 |
100 | Honolulu, HI | 59.10 | 94 | 96 | 100 |
Note: With the exception of “Total Score,” all of the columns in the table above depict the relative rank of that metro area, where a rank of 1 represents the worst conditions for that metric category.

- Highest
- 1. McAllen, TX
- 2. Memphis, TN
- 3. Augusta, GA
- 4. Shreveport, LA
- T-5. Dayton, OH
- T-5. Oklahoma City, OK

- Lowest
- 96. Tucson, AZ
- 97. San Diego, CA
- 98. San Jose, CA
- 99. Bridgeport, CT
- 100. Asheville, NC

- Highest
- 1. McAllen, TX
- 2. Jackson, MS
- 3. Chattanooga, TN
- 4. Lexington, KY
- 5. Detroit, MI

- Lowest
- 96. San Jose, CA
- 97. Colorado Springs, CO
- 98. Denver, CO
- 99. Seattle, WA
- 100. Provo, UT

- Highest
- 1. Knoxville, TN
- 2. Shreveport, LA
- 3. Winston, NC
- 4. Greensboro, NC
- 5. Baton Rouge, LA

- Lowest
- T-94. Sacramento, CA
- T-94. Youngstown, OH
- 96. San Jose, CA
- 97. Jacksonville, FL
- 98. El Paso, TX

- Highest
- 1. Baton Rouge, LA
- 2. Lafayette, LA
- 3. Shreveport, LA
- 4. Chattanooga, TN
- 5. Memphis, TN

- Lowest
- 84. Raleigh, NC
- 85. Sacramento, CA
- 86. Lexington, KY
- 87. Allentown, PA
- 88. Portland, ME

- Highest
- 1. Knoxville, TN
- 2. Chattanooga, TN
- 3. San Antonio, TX
- 4. Houston, TX
- 5. Memphis, TN

- Lowest
- T-92. Denver, CO
- T-92. Provo, UT
- 98. Honolulu, HI
- 99. Asheville, NC
- 100. Bridgeport, CT

- Highest
- 1. Shreveport, LA
- 2. Birmingham, AL
- 3. Lafayette, LA
- 4. Little Rock, AR
- 5. Baton Rouge, LA

- Lowest
- 94. Denver, CO
- 95. Colorado Springs, CO
- 96. Provo, UT
- 97. Tucson, AZ
- 98. San Jose, CA
In-Depth Look at the Most Overweight Cities
McAllen, TX
McAllen, TX, ranks as the most overweight city in the country, because it has the largest percentage of adults who are obese, at 45%, with an additional 31% overweight but not obese. McAllen also has the second-highest share of obese teenagers and the fifth-highest share of obese children.
In addition to the general obesity statistics, McAllen residents are also very affected by diseases related to being an unhealthy weight. For example, the city has the eighth-highest share of people with diabetes and the fourth-highest heart-disease rate.
One reason why many people in McAllen are overweight is because they don’t exercise very much, as the city has the highest share of physically inactive adults. That may not be entirely their fault, considering McAllen has the second-lowest percentage of residents who live close to parks or recreational facilities.
Little Rock, AR
Little Rock, AR, is the second-most overweight city, and it has the fourth-highest rate of obesity among children ages 10-17, at nearly 23%, with nearly another 17% of young people being overweight but not obese. The city also has very high rates of teenage obesity.
Little Rock’s obesity problem shows in the health conditions that residents have. For example, the city has the fourth-highest percentage of adults with high blood pressure and also the fifth-highest heart-disease rate.
Factors that contribute to the high rates of obesity in Little Rock include second lowest numbers of health educators per capita and limited access to healthy foods. The problem will likely remain for the foreseeable future, too, as Little Rock has the second-highest projected obesity rate for 2030.
Jackson, MS
Jackson, MS, is the third-most overweight city, with high rates of obesity for children, teenagers and adults. Around 37% of adults are obese.
Jackson also has the second-highest percentage of adults that had a stroke, and the sixth-highest rate of high blood pressure, at nearly 37%.
Not exercising regularly is a big reason why many of Jackson’s residents are overweight and obese. The city has the second-highest rates of physically inactive adults, and many residents lack easy access to healthy food.
Ask the Experts
Fighting obesity requires a multi-level approach. We turned to a panel of experts for the best ways to address the problem, from the personal to policy level. Click on the experts’ profiles to read their bios and responses to the following key questions:
- What are some tips for eating healthy without breaking the bank?
- What are the biggest mistakes people make when trying to achieve and maintain a healthy lifestyle?
- What are some measures that individuals can take to prevent severe health complications caused by obesity?
- Should employers play a role in helping workers maintain a healthy lifestyle? If so, how?
- What policies should federal and/or state governments pursue to combat obesity and lower the cost of health care?
Ask the Experts
MPH, PhD, CHES® – Assistant Professor and Undergraduate Program Director, Public Health, Marion Peckham Egan School of Nursing and Health Studies – Fairfield University
Read More
Ed.D. – Professor and Director, Social Marketing and Health Communication Lab; HBS Internship Director, Department of Behavioral Health and Nutrition – University of Delaware
Read More
Ph.D. – Professor and Chair, Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work - Florida International University
Read More
Professor of Physical Therapy, College of Health Sciences – University of Missouri
Read More
Ph.D., RN – Associate Professor and SNA Advisor – University of Nebraska Medical Center, College of Nursing
Read More
Provost Associate Professor, Health Studies, College of Arts & Sciences – American University
Read More
Methodology
In order to determine the fattest cities in America, WalletHub compared 100 of the most populated U.S. metro areas across three key dimensions: 1) Obesity & Overweight, 2) Health Consequences and 3) Food & Fitness.
We evaluated those dimensions using 19 relevant metrics, which are listed below with their corresponding weights. Each metric was graded on a 100-point scale, with a score of 100 representing the “fattest.” Data for metrics marked with an asterisk (*) were available only at the state level.
We then determined each metro area’s weighted average across all metrics to calculate its overall score and used the resulting scores to rank-order our sample.
Obesity & Overweight – Total Points: 60
- Share of Overweight Adults: Full Weight (~13.33 Points)
- Share of Obese Adults: Full Weight (~13.33 Points)
- Share of Overweight Teenagers*: Half Weight (~6.67 Points)
Note: “Teenagers” includes 9th through 12th grade students. - Share of Obese Teenagers*: Half Weight (~6.67 Points)
Note: “Teenagers” includes 9th through 12th grade students. - Share of Overweight Children*: Half Weight (~6.67 Points)
Note: “Children” includes persons ages 10 to 17. - Share of Obese Children*: Half Weight (~6.67 Points)
Note: “Children” includes persons ages 10 to 17. - Projected Obesity Rates by 2030*: Half Weight (~6.67 Points)
Health Consequences – Total Points: 25
- Share of Adults with High Cholesterol: Full Weight (~5.56 Points)
- Share of Diabetic Adults: Full Weight (~5.56 Points)
- Share of Adults with High Blood Pressure: Full Weight (~5.56 Points)
- Heart-Disease Rate: Full Weight (~5.56 Points)
- Obesity-Related Death Rate*: Half Weight (~2.78 Points)
Food & Fitness – Total Points: 15
- Share of Adults with Low Fruit/Vegetable Consumption: Full Weight (~1.50 Points)
Note: This metric refers to the share of adults who consume fruit and vegetables less than one time per day. - Share of Residents Who Say They Eat Healthy: Full Weight (~1.50 Points)
- Limited Access to Healthy Food: Full Weight (~1.50 Points)
Note: This metric measures the share of urban-area residents who earn a low income and live more than 1 mile from a grocery store or supermarket. - Share of Physically Inactive Adults: Full Weight (~1.50 Points)
- City Friendliness toward an Active Lifestyle: Quadruple Weight (~6.00 Points)
Note: This metric is based on data from WalletHub’s "Best & Worst Cities for an Active Lifestyle" ranking. - Access to Parks & Recreational Facilities: Full Weight (~1.50 Points)
Note: This metric measures the share of individuals who live reasonably close to a location for physical activity - parks or recreational facilities. - Number of Health Educators and Community Health Workers per Capita: Full Weight (~1.50 Points)
Note: Health educators teach people about behaviors that promote wellness. They develop and implement strategies to improve the health of individuals and communities.
Sources: Data used to create this ranking were collected as of February 17, 2025 from the U.S. Census Bureau, Bureau of Labor Statistics, Centers for Disease Control and Prevention, County Health Rankings, United States Department of Agriculture Economic Research Service, Child and Adolescent Health Measurement Initiative, Gallup-Sharecare, Trust for America's Health and WalletHub research.
WalletHub experts are widely quoted. Contact our media team to schedule an interview.