placestats

Share of some other race, not Hispanic and Mean adjusted gross income per return

Across 960 counties, Share of some other race, not Hispanic and Mean adjusted gross income per return have a link of +0.50, 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

Share of some other race, not Hispanic

The percentage of residents who report some other race alone and are not Hispanic. It is small almost everywhere. It is included so the eight shares cover everyone, with nobody left over.

Census ACS 5-year · ACS table B03002_008, divided by total population

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 share of some other race, not Hispanic

Share of some other race, not HispanicMean adjusted gross income per return
Highest
Plymouth County, MA2.52%$114,700
Queens County, NY2.26%$65,967
Schenectady County, NY1.69%$77,361
Bristol County, MA1.63%$83,920
Essex County, NJ1.43%$113,670
Lowest
San Juan County, CO0%$75,326
Saguache County, CO0%$52,976
Rio Blanco County, CO0%$72,201
Mineral County, CO0%$74,871
Kiowa County, CO0%$69,746

By mean adjusted gross income per return

Share of some other race, not HispanicMean adjusted gross income per return
Highest
New York County, NY0.801%$257,310
Western Connecticut Planning Region, CT0.94%$241,530
Marin County, CA0.784%$236,960
San Mateo County, CA0.841%$236,960
Collier County, FL0.222%$224,460
Lowest
Kusilvak Census Area, AK0%$27,083
Holmes County, MS0%$37,015
Zapata County, TX0%$38,812
Quitman County, MS0%$39,003
Perry County, AL0%$40,388
States

By share of some other race, not Hispanic

Share of some other race, not HispanicMean adjusted gross income per return
Highest
Massachusetts1.15%$121,200
New York0.901%$107,450
Rhode Island0.773%$87,394
New Jersey0.751%$112,230
Connecticut0.728%$121,890
Lowest
North Dakota0.245%$98,168
Iowa0.248%$84,751
Arkansas0.257%$76,591
Kentucky0.263%$73,748
Oklahoma0.281%$77,344

By mean adjusted gross income per return

Share of some other race, not HispanicMean adjusted gross income per return
Highest
District of Columbia0.64%$143,630
Connecticut0.728%$121,890
Massachusetts1.15%$121,200
Washington0.546%$114,940
New Jersey0.751%$112,230
Lowest
Mississippi0.322%$65,732
West Virginia0.284%$68,201
New Mexico0.439%$69,650
Louisiana0.46%$73,396
Kentucky0.263%$73,748
Metro areas

By share of some other race, not Hispanic

Share of some other race, not HispanicMean adjusted gross income per return
Highest
East Stroudsburg, PA1.4%$71,755
Barnstable Town, MA1.25%$108,700
Cheyenne, WY1.23%$85,223
Kingston, NY1.23%$90,170
Providence-Warwick, RI-MA1.22%$86,209
Lowest
Zapata, TX0%$38,812
Weirton-Steubenville, WV-OH0%$63,769
Weatherford, OK0%$65,618
Victoria, TX0%$74,147
Vernon, TX0%$64,464

By mean adjusted gross income per return

Share of some other race, not HispanicMean adjusted gross income per return
Highest
Jackson, WY-ID0%$387,550
Naples-Marco Island, FL0.222%$224,460
San Jose-Sunnyvale-Santa Clara, CA0.473%$211,950
Bridgeport-Stamford-Danbury, CT1.05%$199,610
San Francisco-Oakland-Fremont, CA0.702%$176,470
Lowest
Zapata, TX0%$38,812
Raymondville, TX0%$43,300
Eagle Pass, TX0%$47,124
Lumberton, NC0.3%$48,158
Newport, TN0%$50,160
Cities and towns — Mean adjusted gross income per return is not published for cities and towns

By share of some other race, not Hispanic

Share of some other race, not HispanicMean adjusted gross income per return
Highest
Brockton city, MA6.8%—
Framingham city, MA6.26%—
New Bedford city, MA4.17%—
Milford CDP, MA4.08%—
Marlborough city, MA3.91%—
Lowest
Terryville CDP, CT0%—
Southwood Acres CDP, CT0%—
Sandy Hook CDP, CT0%—
Ridgefield CDP, CT0%—
Pawcatuck CDP, CT0%—
ZIP codes — Mean adjusted gross income per return is not published for ZIP codes

By share of some other race, not Hispanic

Share of some other race, not HispanicMean adjusted gross income per return
Highest
ZIP 11419 (New York city, NY)19.7%—
ZIP 11436 (New York city, NY)11.7%—
ZIP 07105 (Newark city, NJ)8.66%—
ZIP 01702 (Framingham city, MA)8.45%—
ZIP 11420 (New York city, NY)8.4%—
Lowest
ZIP 08867 (Hunterdon County, NJ)0%—
ZIP 08853 (Neshanic Station CDP, NJ)0%—
ZIP 08833 (Hunterdon County, NJ)0%—
ZIP 08826 (Hunterdon County, NJ)0%—
ZIP 08758 (Ocean County, NJ)0%—

Counties furthest from the pattern

Compared with the straight line that best fits all 977 counties: the five with far more mean adjusted gross income per return than their share of some other race, not Hispanic would suggest, and the five with far less.

Share of some other race, not HispanicMean adjusted gross income per return
Above the line
New York County, NY0.801%$257,310
Collier County, FL0.222%$224,460
Glasscock County, TX0%$214,190
Marin County, CA0.784%$236,960
Western Connecticut Planning Region, CT0.94%$241,530
Below the line
Queens County, NY2.26%$65,967
Bronx County, NY0.995%$47,417
Schenectady County, NY1.69%$77,361
Plymouth County, MA2.52%$114,700
Fulton County, PA1.32%$64,671

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+0.500960 counties reporting both
After adjusting for density, income and education-0.049the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.045size taken out as well as density
Also comparing only within each state-0.088each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.065the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 159 equally weighted counties
Middle value inside single states+0.521the link worked out inside each of 21 states with at least 20 counties reporting
Using ranks, after adjusting-0.037uses 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 = 0.130. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.190. 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 0.160.

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 +0.22 (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 share of some other race, not hispanic 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.

PeriodCountiesChange togetherWithin statesq
2014–2019 the main test: each Census survey figure averages five years, and these two do not overlap; before the pandemic845+0.14+0.040.102
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years581-0.22-0.090.192

Over the main period, any link between the changes could easily be chance. How change is measured.

Related pairs

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 Share of some other race, not Hispanic and Mean adjusted gross income per return