Weight management statistics: what the 2024 state map shows
Weight management conversations often focus on individual habits, but the 2024 CDC Adult Obesity Prevalence Map shows a much wider picture. The numbers vary sharply by state and territory, which makes the topic more about population patterns than one simple national story.
Table of contents
- Fast facts
- Highest and lowest prevalence
- A compact state comparison
- Regional patterns worth noticing
- What the spread suggests for weight management planning
- How to read these statistics without overreaching
Fast facts
- Mississippi had the highest adult obesity prevalence in this dataset at 40.4% in 2024 (CDC 2024 Adult Obesity Prevalence Map).
- West Virginia followed at 41.4% in 2024 (CDC 2024 Adult Obesity Prevalence Map).
- Colorado had the lowest adult obesity prevalence among the listed states at 25.0% in 2024 (CDC 2024 Adult Obesity Prevalence Map).
- The District of Columbia was close to the low end at 25.5% in 2024 (CDC 2024 Adult Obesity Prevalence Map).
- Many states clustered in the low-to-mid 30s, which suggests that “average” weight management conditions can still hide meaningful state-level differences (CDC 2024 Adult Obesity Prevalence Map).
- Guam was listed at 40.2% and the U.S. Virgin Islands at 37.7%, showing that some territories also sit near the top of the range (CDC 2024 Adult Obesity Prevalence Map).
Why this dataset matters
Weight management statistics are often useful because they show where population-level pressure is highest. This dataset is not a clinical guide or an individual outcome predictor. Instead, it gives a broad view of adult obesity prevalence across U.S. states, territories, and the District of Columbia in 2024 (CDC 2024 Adult Obesity Prevalence Map).
That makes it useful for reading three things at once:
- where prevalence is relatively high,
- where it is comparatively low,
- and how large the middle of the distribution really is.
The gap between the lowest and highest values is substantial, so the headline is not simply that obesity is present everywhere. The more interesting point is that the burden is distributed unevenly, and that unevenness matters when people discuss weight management resources, prevention efforts, and local health priorities.
Highest and lowest values
At the top of the list, West Virginia reached 41.4% in 2024, followed by Mississippi at 40.4% and Guam at 40.2% (CDC 2024 Adult Obesity Prevalence Map). Those values sit above the 40% line, which makes them stand out even before you compare them with the rest of the country.
At the lower end, Colorado recorded 25.0% and the District of Columbia recorded 25.5% in 2024 (CDC 2024 Adult Obesity Prevalence Map). That lower band is still a meaningful prevalence level, but it is far below the highest values in the dataset.
A useful way to think about the spread is simple:
- High end: roughly 40% to 41%.
- Low end: roughly 25% to 26%.
- Middle: most states fall somewhere between about 31% and 37%.
That middle range matters because it contains the bulk of the map. If you are trying to understand weight management trends, the median-like zone is where most states appear to live, even though the extremes get the most attention.
Compact state comparison
The table below groups a few notable entries from the dataset so the spread is easier to scan.
| Place | Adult obesity prevalence in 2024 | Source label |
|---|---|---|
| Colorado | 25.0% | CDC 2024 Adult Obesity Prevalence Map |
| District of Columbia | 25.5% | CDC 2024 Adult Obesity Prevalence Map |
| California | 29.1% | CDC 2024 Adult Obesity Prevalence Map |
| New Jersey | 27.7% | CDC 2024 Adult Obesity Prevalence Map |
| New York | 29.5% | CDC 2024 Adult Obesity Prevalence Map |
| Florida | 29.6% | CDC 2024 Adult Obesity Prevalence Map |
| Vermont | 29.0% | CDC 2024 Adult Obesity Prevalence Map |
| Hawaii | 27.0% | CDC 2024 Adult Obesity Prevalence Map |
| Mississippi | 40.4% | CDC 2024 Adult Obesity Prevalence Map |
| West Virginia | 41.4% | CDC 2024 Adult Obesity Prevalence Map |
This table shows how wide the field is. Several places sit below 30%, while others are above 40%. That difference is too large to treat the nation as a single, uniform weight management environment.
Where the 30s dominate
The strongest pattern in the dataset is the crowd of states in the 30% range. That includes many places such as Alabama at 38.9%, Arkansas at 38.9%, Indiana at 38.4%, Kansas at 37.6%, Nebraska at 37.6%, South Dakota at 37.0%, Ohio at 36.9%, North Dakota at 36.8%, Oklahoma at 36.8%, Delaware at 36.6%, Iowa at 36.6%, Puerto Rico at 36.2%, Michigan at 36.1%, Texas at 35.6%, Georgia at 35.4%, Missouri at 34.6%, South Carolina at 34.6%, North Carolina at 34.5%, New Mexico at 34.5%, Illinois at 34.2%, Nevada at 34.2%, and Pennsylvania at 34.2% (CDC 2024 Adult Obesity Prevalence Map).
That cluster is important because it is broad enough to feel ordinary. If you only look at the extremes, you can miss how many places are operating in the mid-30s. For weight management discussions, that suggests the typical state is not near the low end, and not at the very top either, but somewhere in between.
States around the mid-30s
Some examples near the middle include:
- Georgia at 35.4%.
- Texas at 35.6%.
- Michigan at 36.1%.
- South Carolina at 34.6%.
- Virginia at 32.3%.
- Washington at 31.5%.
- Maryland at 32.7%.
- Minnesota at 32.3%.
- Oregon at 33.5%.
- Maine at 33.2%.
Each of these values is different, but together they show how dense the center of the distribution is (CDC 2024 Adult Obesity Prevalence Map). The implication is not that every state faces the same challenge. It is that a large share of the country lives in a fairly narrow band where small differences still matter.
Regional patterns worth noticing
The dataset invites a regional reading, even without overclaiming cause. The South contains several of the highest values, including West Virginia at 41.4%, Mississippi at 40.4%, Louisiana at 39.2%, Alabama at 38.9%, Arkansas at 38.9%, Kentucky at 37.2%, Tennessee not listed here, and multiple states in the mid-30s such as Georgia, South Carolina, and Texas (CDC 2024 Adult Obesity Prevalence Map).
The Midwest also shows many values in the mid-to-high 30s, including Indiana at 38.4%, Kansas at 37.6%, Nebraska at 37.6%, Ohio at 36.9%, South Dakota at 37.0%, Wisconsin at 37.4%, Michigan at 36.1%, Missouri at 34.6%, and Iowa at 36.6% (CDC 2024 Adult Obesity Prevalence Map).
By contrast, several lower values appear in the West and Northeast, including Colorado at 25.0%, California at 29.1%, Hawaii at 27.0%, New Jersey at 27.7%, New York at 29.5%, Vermont at 29.0%, and Massachusetts at 27.0% (CDC 2024 Adult Obesity Prevalence Map).
This is a pattern, not a single explanation. The statistic itself does not tell you why the differences exist. What it does tell you is that weight management outcomes are distributed unevenly across geography, and any serious discussion has to make room for that.
Territories are part of the picture too
It is easy to focus only on states, but the dataset also includes territories. That matters because the range is not just a mainland issue.
- Guam: 40.2%.
- Puerto Rico: 36.2%.
- U.S. Virgin Islands: 37.7%.
Those figures sit near the upper and middle-upper part of the distribution (CDC 2024 Adult Obesity Prevalence Map). Including them helps avoid the mistaken assumption that the main story ends at the 50 states.
What the spread suggests for weight management planning
These statistics do not prescribe a single intervention. They do, however, point to a few practical ideas for anyone reading the data carefully.
1. State context matters
A 25.0% prevalence and a 41.4% prevalence describe very different environments. That difference is large enough that state-level planning should not assume one-size-fits-all conditions (CDC 2024 Adult Obesity Prevalence Map).
2. The middle is crowded
Because so many states cluster from the low 30s to the high 30s, even modest movement within that band can be meaningful. A state moving from 36.8% to 34.8% is still not at the low end, but it is shifting within a dense part of the distribution. The point is that the middle should not be treated as uninteresting just because it is not dramatic.
3. Extremes can hide the shape of the whole map
If someone only quotes the highest states, the country may seem uniformly severe. If someone only quotes the lowest states, the burden may look smaller than it really is. The full dataset shows both the high-end pressure and the lower-end pockets at the same time (CDC 2024 Adult Obesity Prevalence Map).
4. Weight management is a population issue as well as an individual one
The phrase “weight management” often sounds personal, but these numbers show a population framework. When prevalence is high in many places, the environment around individual choices becomes part of the story. That does not reduce personal responsibility. It just keeps the statistical context visible.
Selected values by place
Here is a broader snapshot of the dataset to keep the comparisons grounded.
| Place | Prevalence | Place | Prevalence |
|---|---|---|---|
| Alabama | 38.9% | Minnesota | 32.3% |
| Alaska | 34.0% | Mississippi | 40.4% |
| Arizona | 33.3% | Missouri | 34.6% |
| California | 29.1% | Montana | 31.0% |
| Colorado | 25.0% | Nevada | 34.2% |
| Connecticut | 32.0% | New Hampshire | 31.1% |
| Florida | 29.6% | New Jersey | 27.7% |
| Georgia | 35.4% | New York | 29.5% |
| Hawaii | 27.0% | Oregon | 33.5% |
| Illinois | 34.2% | Texas | 35.6% |
| Indiana | 38.4% | Utah | 31.0% |
| Iowa | 36.6% | Vermont | 29.0% |
| Kansas | 37.6% | Washington | 31.5% |
| Louisiana | 39.2% | West Virginia | 41.4% |
The table reinforces a straightforward takeaway: the distribution is wide, and the middle is thick. That combination is usually where population health data becomes most useful.
Reading the numbers carefully
A dataset like this can be misread in a few common ways.
- It is not a ranking of personal fitness.
- It is not a direct measure of diet quality.
- It is not a complete explanation for why states differ.
- It is a snapshot of adult obesity prevalence in 2024, not a full causal model (CDC 2024 Adult Obesity Prevalence Map).
That distinction matters because statistics about weight management are often used too aggressively. The safest reading is the simplest one: these values describe where prevalence is higher or lower, and they show that the differences are large enough to notice.
The clearest takeaway from the map
If you look only at the top and bottom, you get a story about extremes. If you look at the whole list, you get a better story about distribution. That distribution is the real value here.
The 2024 CDC Adult Obesity Prevalence Map shows a country where some places are around one-quarter prevalence, many are in the low-to-mid 30s, and several are near or above 40% (CDC 2024 Adult Obesity Prevalence Map). For weight management statistics, that is the central pattern to keep in mind.