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Share American Indian or Alaska Native, not Hispanic and Adult income rank of children raised poor here

Where Share American Indian or Alaska Native, not Hispanic is higher, Adult income rank of children raised poor here tends to be lower. The link is weak: -0.37 across 1,377 counties, on a scale from −1 (opposite) to +1 (in step). That figure compares places with the same population density, income and education, so those differences can't explain it. It holds inside states too. Measured separately within each of 29 states, the middle value of the link is -0.12.

Holds 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 American Indian or Alaska Native, not Hispanic

The percentage of residents who are American Indian or Alaska Native alone and not Hispanic. They live mostly on and near reservations: Oglala Lakota County, South Dakota is 91%, while most counties are under 1%.

Census ACS 5-year · ACS table B03002_005, divided by total population

Adult income rank of children raised poor here

Where children who grew up here with poor parents ended up as adults, ranked against everyone in the country by income, on a scale from 0 to 1. A value of 0.5 would mean that on average they reached the middle of the national income ladder.

Opportunity Atlas · Opportunity Insights kfr_pooled_pooled_p25

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 American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
Oglala Lakota County, SD91.4%0.248
Kusilvak Census Area, AK86.4%0.216
Sioux County, ND83.7%0.293
Bethel Census Area, AK83.6%0.245
Todd County, SD83.1%0.302
Lowest
Washington County, CO0%0.504
Phillips County, CO0%0.491
Ouray County, CO0%0.556
Sierra County, CA0%0.456
Monroe County, AR0%0.378

By adult income rank of children raised poor here

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
Billings County, ND0%0.666
Golden Valley County, ND0%0.662
Dunn County, ND10.2%0.654
Wibaux County, MT0%0.648
Blaine County, NE0%0.644
Lowest
Villalba Municipio, PR0%0.213
Kusilvak Census Area, AK86.4%0.216
Comerío Municipio, PR0%0.216
Rincón Municipio, PR0%0.228
Santa Isabel Municipio, PR0%0.234
States — Adult income rank of children raised poor here is not published for states

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
Alaska13.5%—
New Mexico8.6%—
South Dakota7.38%—
Oklahoma6.79%—
Montana5.5%—
Lowest
Pennsylvania0.0553%—
Ohio0.0625%—
West Virginia0.0647%—
Illinois0.0697%—
Indiana0.0703%—
Metro areas

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
Gallup, NM75.1%0.354
Show Low, AZ41.9%0.376
Lumberton, NC39.1%0.321
Farmington, NM38.5%0.405
Tahlequah, OK31.8%0.393
Lowest
Zapata, TX0%0.476
Weirton-Steubenville, WV-OH0%0.398
Valdosta, GA0%0.355
Sikeston, MO0%0.379
Roanoke, VA0%0.376

By adult income rank of children raised poor here

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
Dickinson, ND2.01%0.625
Williston, ND1.99%0.586
Le Mars, IA0.222%0.551
Bismarck, ND3.55%0.538
Vernal, UT5.1%0.535
Lowest
Laurinburg, NC11.1%0.311
Lumberton, NC39.1%0.321
Memphis, TN-MS-AR0.0414%0.326
Albany, GA0%0.328
Greenwood, MS0%0.331
Cities and towns — Adult income rank of children raised poor here is not published for cities and towns

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
Zuni Pueblo CDP, NM98%—
Kayenta CDP, AZ94.4%—
Shiprock CDP, NM93.2%—
Tuba City CDP, AZ88.7%—
Bethel city, AK67.8%—
Lowest
Windsor Locks CDP, CT0%—
Willimantic CDP, CT0%—
Wethersfield CDP, CT0%—
Trumbull Center CDP, CT0%—
Terryville CDP, CT0%—
ZIP codes — Adult income rank of children raised poor here is not published for ZIP codes

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Highest
ZIP 58316 (Rolette County, ND)96.5%—
ZIP 86033 (Navajo County, AZ)95.7%—
ZIP 86505 (Apache County, AZ)95.6%—
ZIP 87327 (McKinley County, NM)95.3%—
ZIP 87313 (McKinley County, NM)95%—
Lowest
ZIP 08904 (Highland Park borough, NJ)0%—
ZIP 08901 (New Brunswick city, NJ)0%—
ZIP 08889 (Hunterdon County, NJ)0%—
ZIP 08882 (South River borough, NJ)0%—
ZIP 08867 (Hunterdon County, NJ)0%—

Counties furthest from the pattern

Compared with the straight line that best fits all 1,386 counties: the five with far more adult income rank of children raised poor here than their share American Indian or Alaska Native, not Hispanic would suggest, and the five with far less.

Share American Indian or Alaska Native, not HispanicAdult income rank of children raised poor here
Above the line
Billings County, ND0%0.666
Dunn County, ND10.2%0.654
Golden Valley County, ND0%0.662
Wibaux County, MT0%0.648
Blaine County, NE0%0.644
Below the line
Villalba Municipio, PR0%0.213
Comerío Municipio, PR0%0.216
Rincón Municipio, PR0%0.228
Santa Isabel Municipio, PR0%0.234
Canóvanas Municipio, PR0%0.234

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-0.1401,377 counties reporting both
After adjusting for density, income and education-0.366the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.352size taken out as well as density
Also comparing only within each state-0.489each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.036the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 189 equally weighted counties
Middle value inside single states-0.115the link worked out inside each of 29 states with at least 20 counties reporting
Using ranks, after adjusting-0.049uses 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 = 6.5e-45. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.001. 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 3.3e-44.

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 +0.61 (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?

Not measurable: at least one of these is published for too few of the years a change needs (2014–2019 or 2019–2023), or for too few counties in both.

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 American Indian or Alaska Native, not Hispanic and Adult income rank of children raised poor here