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Share American Indian or Alaska Native, not Hispanic and Education score

Where Share American Indian or Alaska Native, not Hispanic is higher, Education score tends to be lower. The link is weak: -0.31 across 1,201 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 25 states, the middle value of the link is -0.09.

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

Education score

Test scores, how much children improve each school year, the trend in scores, and high school graduation. The share of adults with a college degree is left out. Every comparison on this site already adjusts for it, so a score that contained it would be adjusting for part of itself. This is the score here least tied to income.

· derived from 4 measures (CHR, SEDA)

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 HispanicEducation score
Highest
Oglala Lakota County, SD91.4%-5.76
Kusilvak Census Area, AK86.4%-2.87
Bethel Census Area, AK83.6%-2.64
Todd County, SD83.1%-3.13
Northwest Arctic Borough, AK80.1%-2.18
Lowest
Monroe County, AR0%-1.41
Lee County, AR0%-2.37
Fulton County, AR0%-0.107
Drew County, AR0%-0.406
Dallas County, AR0%-1.22

By education score

Share American Indian or Alaska Native, not HispanicEducation score
Highest
King County, TX0%1.91
Glasscock County, TX0%1.65
Falls Church city, VA0%1.63
Heard County, GA0%1.58
Roger Mills County, OK5.06%1.54
Lowest
Oglala Lakota County, SD91.4%-5.76
Ziebach County, SD70.2%-3.14
Todd County, SD83.1%-3.13
Kusilvak Census Area, AK86.4%-2.87
Bethel Census Area, AK83.6%-2.64
States — Education score is not published for states

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicEducation score
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 HispanicEducation score
Highest
Gallup, NM75.1%0.838
Show Low, AZ41.9%-0.844
Lumberton, NC39.1%-0.867
Farmington, NM38.5%0.00506
Tahlequah, OK31.8%0.468
Lowest
Zapata, TX0%-0.531
Weirton-Steubenville, WV-OH0%0.245
Valdosta, GA0%0.448
Sikeston, MO0%0.0957
Roanoke, VA0%0.00878

By education score

Share American Indian or Alaska Native, not HispanicEducation score
Highest
Paris, TN0.575%1.31
Athens, TN0%1.27
Yankton, SD2.24%1.22
Laredo, TX0.0418%1.17
St. George, UT0.665%1.16
Lowest
Athens-Clarke County, GA0%-2.38
Riverton, WY17.8%-2.06
Port Angeles, WA3.39%-1.95
Arcadia, FL0.13%-1.91
Montrose, CO0.64%-1.91
Cities and towns — Education score is not published for cities and towns

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicEducation score
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 — Education score is not published for ZIP codes

By share American Indian or Alaska Native, not Hispanic

Share American Indian or Alaska Native, not HispanicEducation score
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 1,206 counties: the five with far more education score 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 HispanicEducation score
Above the line
McKinley County, NM75.1%0.649
Mellette County, SD61.7%0.885
King County, TX0%1.91
Cibola County, NM42.5%0.816
Chouteau County, MT16.5%1.35
Below the line
Oglala Lakota County, SD91.4%-5.76
Lee County, AR0%-2.37
Richmond city, VA0.147%-2.32
Montcalm County, MI0.255%-2.27
Hancock County, GA0%-2.18

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-0.3241,201 counties reporting both
After adjusting for density, income and education-0.306the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.296size taken out as well as density
Also comparing only within each state-0.286each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.106the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 182 equally weighted counties
Middle value inside single states-0.088the link worked out inside each of 25 states with at least 20 counties reporting
Using ranks, after adjusting-0.115uses 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 = 1.9e-27. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 0.000. 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 7.1e-27.

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 +0.21 (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 Education score