placestats

Share never married and Returns reporting capital gains

Where Share never married is higher, Returns reporting capital gains tends to be lower. The link is weak: -0.39 across 3,117 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 40 states, the middle value of the link is -0.21.

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 never married

The percentage of people aged 15 and over who have never married. The Census counts from age 15, not 18, so every county's figure includes some teenagers.

Census ACS 5-year · ACS table B12001_003…B12001_012 (2 cells), divided by population aged 15 and over

Returns reporting capital gains

The percentage of tax returns reporting a capital gain: profit from selling something like stock or property.

IRS Statistics of Income · IRS SOI N01000 / 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 never married

Share never marriedReturns reporting capital gains
Highest
Lexington city, VA64.5%29.5%
Oglala Lakota County, SD62.8%2.63%
Radford city, VA62.6%12.9%
Williamsburg city, VA60.1%23.9%
Harrisonburg city, VA58.3%13.4%
Lowest
Borden County, TX9.2%24%
Banner County, NE10.6%27.6%
Hinsdale County, CO10.6%33.3%
Treasure County, MT12%27.3%
Glasscock County, TX12.7%30%

By returns reporting capital gains

Share never marriedReturns reporting capital gains
Highest
Harding County, SD24%46.6%
McPherson County, NE19.3%45%
Garfield County, MT16.2%44.4%
Carter County, MT18.3%44.1%
Marin County, CA30.3%43.9%
Lowest
Kusilvak Census Area, AK55.9%0.722%
Starr County, TX35.8%2.19%
Maverick County, TX31.4%2.5%
Oglala Lakota County, SD62.8%2.63%
Zavala County, TX45.2%2.76%
States

By share never married

Share never marriedReturns reporting capital gains
Highest
District of Columbia55.2%23.9%
New York38.6%19.9%
California37.8%20.5%
Rhode Island37.3%17.3%
Massachusetts37.2%22.8%
Lowest
Wyoming27.6%20.6%
Idaho28.3%18.7%
Maine28.9%18%
West Virginia29%11.2%
Arkansas29.5%13.7%

By returns reporting capital gains

Share never marriedReturns reporting capital gains
Highest
District of Columbia55.2%23.9%
Washington32.2%23.4%
Massachusetts37.2%22.8%
New Jersey34.5%22.4%
Connecticut35.4%22.3%
Lowest
Mississippi34.2%10.1%
West Virginia29%11.2%
Alabama31.6%12.8%
Louisiana36.2%13.1%
New Mexico36.4%13.4%
Metro areas

By share never married

Share never marriedReturns reporting capital gains
Highest
Vermillion, SD54.9%20.5%
Pullman, WA52.5%20.7%
Gallup, NM52.5%3.21%
Ruston, LA51%14.4%
Clarksdale, MS49.5%7.02%
Lowest
Wildwood-The Villages, FL13.8%37.9%
Crossville, TN17.3%19%
Brookings, OR17.4%22.3%
Mountain Home, AR18.6%18.8%
Granbury, TX19.5%21.8%

By returns reporting capital gains

Share never marriedReturns reporting capital gains
Highest
Wildwood-The Villages, FL13.8%37.9%
San Jose-Sunnyvale-Santa Clara, CA35.5%36.3%
Jackson, WY-ID32.4%35.2%
Boulder, CO39.2%34.6%
Heber, UT26.7%33.1%
Lowest
Rio Grande City-Roma, TX35.8%2.19%
Eagle Pass, TX31.4%2.5%
Gallup, NM52.5%3.21%
Raymondville, TX39.8%3.64%
El Centro, CA39.8%3.72%
Cities and towns — Returns reporting capital gains is not published for cities and towns

By share never married

Share never marriedReturns reporting capital gains
Highest
Clemson University CDP, SC99.9%—
Binghamton University CDP, NY99.3%—
Rochester Institute of Technology CDP, NY99.3%—
Notre Dame CDP, IN99.1%—
California Polytechnic State University CDP, CA98.8%—
Lowest
Desert Palms CDP, CA3.45%—
Longboat Key town, FL3.52%—
Pelican Bay CDP, FL3.69%—
The Villages CDP, FL4.24%—
On Top of the World CDP, FL4.4%—
ZIP codes — Returns reporting capital gains is not published for ZIP codes

By share never married

Share never marriedReturns reporting capital gains
Highest
ZIP 19717 (Newark city, DE)100%—
ZIP 38677 (University CDP, MS)100%—
ZIP 32612 (Gainesville city, FL)99.9%—
ZIP 93410 (California Polytechnic State University CDP, CA)99.9%—
ZIP 13244 (Syracuse city, NY)99.9%—
Lowest
ZIP 34228 (Longboat Key town, FL)3.52%—
ZIP 32162 (The Villages CDP, FL)3.98%—
ZIP 85375 (Sun City West CDP, AZ)5.31%—
ZIP 32163 (Wildwood city, FL)5.45%—
ZIP 85622 (Pima County, AZ)6.24%—

Counties furthest from the pattern

Compared with the straight line that best fits all 3,134 counties: the five with far more returns reporting capital gains than their share never married would suggest, and the five with far less.

Share never marriedReturns reporting capital gains
Above the line
Harding County, SD24%46.6%
Marin County, CA30.3%43.9%
Falls Church city, VA34.5%41.9%
McPherson County, NE19.3%45%
San Francisco County, CA45.6%36.6%
Below the line
Owsley County, KY22.2%2.99%
Wyoming County, WV22.5%4.3%
Letcher County, KY24.4%4.09%
Webster County, WV23%4.58%
Mingo County, WV24.8%4.11%

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-0.2893,117 counties reporting both
After adjusting for density, income and education-0.392the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size-0.365size taken out as well as density
Also comparing only within each state-0.428each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight-0.350the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 287 equally weighted counties
Middle value inside single states-0.206the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting-0.354uses 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 = 1.1e-114. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.0e-8. 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 9.3e-114.

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 +0.53 (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 never married rose most, did returns reporting capital gainsmove 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 pandemic3,136-0.05-0.040.386
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,131-0.08-0.080.008

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 never married and Returns reporting capital gains