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Share separated and Adult income rank of children raised poor here

Where Share separated is higher, Adult income rank of children raised poor here tends to be lower. The link is weak: -0.35 across 2,248 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 34 states, the middle value of the link is -0.30.

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 separated

The percentage of people aged 15 and over who are separated. This is not a fifth group next to the other four. The Census counts a separated person as married with the spouse away, so this is part of the married share and must never be added to it.

Census ACS 5-year · ACS table B12001_007…B12001_016 (2 cells), divided by population aged 15 and over

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 separated

Share separatedAdult income rank of children raised poor here
Highest
Lee County, KY6.77%0.391
Holmes County, MS6.57%0.353
Woodruff County, AR6.36%0.354
Wilcox County, AL6.03%0.349
Sharkey County, MS5.99%0.37
Lowest
San Juan County, CO0%0.473
Hinsdale County, CO0%0.469
Columbia County, WA0%0.437
Kenedy County, TX0%0.417
Glasscock County, TX0%0.395

By adult income rank of children raised poor here

Share separatedAdult income rank of children raised poor here
Highest
Billings County, ND0%0.666
Golden Valley County, ND0%0.662
Blaine County, NE0%0.644
Cedar County, NE0.849%0.613
Hooker County, NE0%0.612
Lowest
Villalba Municipio, PR2.62%0.213
Kusilvak Census Area, AK2.45%0.216
Santa Isabel Municipio, PR2.27%0.234
Canóvanas Municipio, PR2.14%0.234
Loíza Municipio, PR3.03%0.237
States — Adult income rank of children raised poor here is not published for states

By share separated

Share separatedAdult income rank of children raised poor here
Highest
Mississippi2.49%—
South Carolina2.35%—
Louisiana2.22%—
New York2.19%—
North Carolina2.18%—
Lowest
Wisconsin0.869%—
North Dakota0.875%—
Minnesota0.888%—
Maine0.97%—
Nebraska0.993%—
Metro areas

By share separated

Share separatedAdult income rank of children raised poor here
Highest
Rio Grande City-Roma, TX5.51%0.459
Raymondville, TX4.62%0.418
Orangeburg, SC4.61%0.348
Bainbridge, GA4.55%0.358
Henderson, NC4.53%0.324
Lowest
Mitchell, SD0%0.52
Dickinson, ND0%0.625
Ottawa, KS0.332%0.422
Marquette, MI0.355%0.431
Alexandria, MN0.412%0.53

By adult income rank of children raised poor here

Share separatedAdult income rank of children raised poor here
Highest
Dickinson, ND0%0.625
Le Mars, IA0.57%0.551
Heber, UT0.948%0.543
New Ulm, MN0.554%0.54
Bismarck, ND0.726%0.538
Lowest
Laurinburg, NC2.51%0.311
Greenville, MS3.09%0.319
Lumberton, NC3.48%0.321
Henderson, NC4.53%0.324
Clarksdale, MS3.43%0.325
Cities and towns — Adult income rank of children raised poor here is not published for cities and towns

By share separated

Share separatedAdult income rank of children raised poor here
Highest
Westgate CDP, FL11%—
Hazard city, KY9.11%—
Central City city, KY6.97%—
Gonzales city, TX6.77%—
Monticello village, NY6.7%—
Lowest
Simsbury Center CDP, CT0%—
Old Greenwich CDP, CT0%—
Oakville CDP, CT0%—
Daniels Farm CDP, CT0%—
Cos Cob CDP, CT0%—
ZIP codes — Adult income rank of children raised poor here is not published for ZIP codes

By share separated

Share separatedAdult income rank of children raised poor here
Highest
ZIP 39095 (Holmes County, MS)10.2%—
ZIP 79901 (El Paso city, TX)9.93%—
ZIP 63106 (St. Louis city, MO)8.33%—
ZIP 33128 (Miami city, FL)8.26%—
ZIP 36784 (Clarke County, AL)8.07%—
Lowest
ZIP 08502 (Somerset County, NJ)0%—
ZIP 08230 (Cape May County, NJ)0%—
ZIP 08056 (Gloucester County, NJ)0%—
ZIP 07981 (Whippany CDP, NJ)0%—
ZIP 07757 (Oceanport borough, NJ)0%—

Counties furthest from the pattern

Compared with the straight line that best fits all 2,252 counties: the five with far more adult income rank of children raised poor here than their share separated would suggest, and the five with far less.

Share separatedAdult income rank of children raised poor here
Above the line
Billings County, ND0%0.666
Bottineau County, ND1.97%0.608
Golden Valley County, ND0%0.662
Blaine County, NE0%0.644
Cedar County, NE0.849%0.613
Below the line
Kusilvak Census Area, AK2.45%0.216
Villalba Municipio, PR2.62%0.213
Manatí Municipio, PR1.86%0.237
Canóvanas Municipio, PR2.14%0.234
Yabucoa Municipio, PR1.4%0.256

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-0.4872,248 counties reporting both
After adjusting for density, income and education-0.350the 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-0.162each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.162the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 275 equally weighted counties
Middle value inside single states-0.296the link worked out inside each of 34 states with at least 20 counties reporting
Using ranks, after adjusting-0.328uses 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 = 8.8e-66. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.5e-5. 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 5.7e-65.

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 +0.52 (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 separated and Adult income rank of children raised poor here