Obesity and Mean adjusted gross income per return
Across 2,915 counties, Obesity and Mean adjusted gross income per return have a link of -0.60, on a scale from −1 (opposite) to +1 (in step). But compare places with the same population density, income and education, and what is left could easily be chance. Most of the first figure came from both measures following how urban, rich and educated a place is, not from a link with each other.
Mostly gone after adjusting
Every place, plotted
One dot for each place reporting both measures. Hover over or tap a dot to see its name and values. The thin line is the straight line that best fits the dots. The bold line, shown for counties, is the link after adjusting for density, income and education. A dot far from the lines is a place that does not follow the pattern.
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What each measure is
Obesity
The estimated percentage of adults who have a body mass index (a measure of weight for height) of 30 or above. It is adjusted so places with older or younger populations can be compared fairly. It is an estimate from a statistical model, not a direct count from a local survey.
CDC PLACES · PLACES OBESITY, age-adjusted
Mean adjusted gross income per return
Average adjusted gross income (income after a few deductions, as reported to the IRS) per tax return. Business and farm losses are subtracted. It counts only people who file, and people who earn too little to have to file are missing, which makes the poorest places look better off.
IRS Statistics of Income · IRS SOI A00100 / N1
Highest and lowest
Where each measure is highest and lowest among the places reporting both (2023), with the other measure beside it. This is shown for every size of place where both are published. Metro-area values are added up from their counties. A measure that cannot be added up across counties, such as a middle value (median), has no metro figure. Counts are shown per 1,000 residents, since raw totals would only list the largest places. Cities and towns and ZIP codes are shown where the Census survey or the CDC publishes them; most other sources stop at the county. They are shown for places of 5,000 residents or more, and only where the survey’s margin of error is small enough for the figure to be usable. The CDC publishes its health estimates for cities in a version adjusted for age, so places with older or younger people can be compared fairly, but not for ZIP codes.
Counties
By obesity
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Highest | ||
| Perry County, AL | 54% | $40,388 |
| Greene County, AL | 53.4% | $43,953 |
| Humphreys County, MS | 53% | $40,573 |
| Wilcox County, AL | 51.9% | $49,605 |
| East Carroll Parish, LA | 51.7% | $44,004 |
| Lowest | ||
| San Francisco County, CA | 17.1% | $200,410 |
| Boulder County, CO | 17.4% | $136,850 |
| Summit County, UT | 19.3% | $265,720 |
| New York County, NY | 19.5% | $257,310 |
| Pitkin County, CO | 20.3% | $280,730 |
By mean adjusted gross income per return
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Highest | ||
| Teton County, WY | 23.5% | $509,150 |
| Pitkin County, CO | 20.3% | $280,730 |
| Summit County, UT | 19.3% | $265,720 |
| New York County, NY | 19.5% | $257,310 |
| Blaine County, ID | 23.1% | $252,880 |
| Lowest | ||
| Kusilvak Census Area, AK | 47% | $27,083 |
| Holmes County, MS | 51.5% | $37,015 |
| Zapata County, TX | 44.5% | $38,812 |
| Quitman County, MS | 51.1% | $39,003 |
| Starr County, TX | 45.8% | $39,523 |
States — Obesity is not published for states
By mean adjusted gross income per return
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Highest | ||
| District of Columbia | — | $143,630 |
| Connecticut | — | $121,890 |
| Massachusetts | — | $121,200 |
| Washington | — | $114,940 |
| New Jersey | — | $112,230 |
| Lowest | ||
| Mississippi | — | $65,732 |
| West Virginia | — | $68,201 |
| New Mexico | — | $69,650 |
| Louisiana | — | $73,396 |
| Kentucky | — | $73,748 |
Metro areas
By obesity
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Highest | ||
| Lumberton, NC | 48.1% | $48,158 |
| Forrest City, AR | 47.9% | $48,484 |
| Logansport, IN | 47.3% | $57,628 |
| Clarksdale, MS | 47.1% | $52,539 |
| Cleveland, MS | 46.8% | $56,684 |
| Lowest | ||
| Boulder, CO | 17.4% | $136,850 |
| Durango, CO | 20.8% | $99,892 |
| Heber, UT | 21.4% | $220,380 |
| San Jose-Sunnyvale-Santa Clara, CA | 22.2% | $211,950 |
| San Francisco-Oakland-Fremont, CA | 22.6% | $176,470 |
By mean adjusted gross income per return
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Highest | ||
| Jackson, WY-ID | 26% | $387,550 |
| Naples-Marco Island, FL | 28% | $224,460 |
| Hailey, ID | 25.1% | $220,660 |
| Heber, UT | 21.4% | $220,380 |
| San Jose-Sunnyvale-Santa Clara, CA | 22.2% | $211,950 |
| Lowest | ||
| Zapata, TX | 44.5% | $38,812 |
| Rio Grande City-Roma, TX | 45.8% | $39,523 |
| Deming, NM | 36.9% | $41,040 |
| Raymondville, TX | 44.4% | $43,300 |
| Gallup, NM | 41.4% | $44,629 |
Cities and towns — Mean adjusted gross income per return is not published for cities and towns
By obesity
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Highest | ||
| Muskegon Heights city, MI | 58.4% | — |
| Benton Harbor city, MI | 56% | — |
| Grambling city, LA | 55.7% | — |
| Yazoo City city, MS | 55.4% | — |
| Tallulah city, LA | 53.6% | — |
| Lowest | ||
| Superior town, CO | 14.5% | — |
| San Marino city, CA | 14.7% | — |
| Louisville city, CO | 15.8% | — |
| Cupertino city, CA | 15.9% | — |
| Gunbarrel CDP, CO | 16.1% | — |
Counties furthest from the pattern
Compared with the straight line that best fits all 2,936 counties: the five with far more mean adjusted gross income per return than their obesity would suggest, and the five with far less.
| Obesity | Mean adjusted gross income per return | |
|---|---|---|
| Above the line | ||
| Teton County, WY | 23.5% | $509,150 |
| Pitkin County, CO | 20.3% | $280,730 |
| Summit County, UT | 19.3% | $265,720 |
| Blaine County, ID | 23.1% | $252,880 |
| Western Connecticut Planning Region, CT | 25.6% | $241,530 |
| Below the line | ||
| Crowley County, CO | 31.5% | $41,355 |
| Sedgwick County, CO | 28.5% | $51,229 |
| Queens County, NY | 23.8% | $65,967 |
| Huerfano County, CO | 27.9% | $54,262 |
| Delta County, CO | 26.9% | $58,650 |
Two series, one county
Both measures over time for a county you pick. The two charts are stacked, so they share only the years along the bottom. You can pick from the thirty largest counties reporting both. This panel covers 2010–2024, and a measure published only once shows as a single dot.
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Every version of the link
Each row measures the same link, from −1 to +1, in a different way. If the rows mostly agree, the link does not depend on one choice of method.
| Before adjusting for anything | -0.601 | 2,915 counties reporting both |
| After adjusting for density, income and education | -0.074 | the part of the link that is not just how urban, rich and educated a place is |
| Also adjusting for population size | -0.073 | size taken out as well as density |
| Also comparing only within each state | -0.138 | each county is compared only with others in its own state, so this is no longer a comparison between states |
| Giving bigger counties more weight | -0.206 | the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 263 equally weighted counties |
| Middle value inside single states | -0.650 | the link worked out inside each of 38 states with at least 20 counties reporting |
| Using ranks, after adjusting | -0.076 | uses each county’s rank, not its value, so a few extreme counties cannot create the link |
How much to believe it
Could it be chance?
The p-value is the chance of seeing a link this strong if there were really none. A value of 0.05 or less means the link is unlikely to be chance. Very small values are written in short form: 3.1e-16 means 0.00000000000000031, and the bigger the number after “e-”, the smaller the value. Treating every county as a separate case gives p = 6.0e-5. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.140. The site tested 20,910 pairs, and testing so many turns up some flukes. The q-value allows for that too. For this pair it is 9.9e-5.
Do nearby places look alike?
Moran’s I measures how much nearby places look alike: 0 means no map pattern, and higher means neighbours are more similar. For the part of each county that the adjustment leaves unexplained, it is +0.17 (p = 0.001). That unexplained part still clusters on the map. So some regional factor shared by both measures is not accounted for.
Did they change together?
The figures above compare counties at one moment. This asks a different question: where obesity rose most, did mean adjusted gross income per returnmove too? Each county’s change is compared with the average change in its own state. That takes out ups and downs that hit a whole region at once. Each change is the gap between two estimates that both contain some error. That error pulls these links towards zero, so a weak one is weak partly for that reason. The q column shows whether a link could be a fluke, allowing for the many pairs tested: 0.05 or less means it is unlikely to be chance.
| Period | Counties | Change together | Within states | q |
|---|---|---|---|---|
| 2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic | — | — | — | — |
| 2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years | 2,795 | +0.02 | -0.01 | 0.592 |
Not measurable over the main period, so only the second period is shown. How change is measured.
Related pairs
- Per capita personal income and Mean adjusted gross income per return — +0.76
- Mean adjusted gross income per return and Mean income of departing households — +0.53
- Mean adjusted gross income per return and Mean income of arriving households — +0.52
- Median household income and Mean adjusted gross income per return — +0.51
- Mean adjusted gross income per return and Local income tax collected — +0.44
- Per capita income and Mean adjusted gross income per return — +0.42
- Share with a bachelor's degree or higher and Mean adjusted gross income per return — +0.41
- Gini index of income inequality and Mean adjusted gross income per return — +0.33
Association only. Nothing here shows that either measure changes the other. This describes counties, not the people in them. Two measures going together across places does not mean the same people have both. How the US county data works · Explore Obesity and Mean adjusted gross income per return