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Median household income and Economic connectedness in high school

Where Median household income is higher, Economic connectedness in high school tends to be higher. The link is strong: +0.62 across 2,729 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 39 states, the middle value of the link is +0.78.

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

Median household income

The income of the middle household: half of households earn more, and half earn less. It counts all money income before taxes. Since it is the middle value, not the average, a few very high incomes do not change it.

Census ACS 5-year · ACS table B19013_001

Economic connectedness in high school

How many of a low-income teenager's high school friends are high-income, compared with an even mix. It is counted in the county of the school, not where the person lives as an adult, so it describes where people grew up.

Social Capital Atlas · Opportunity Insights child_ec_county

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 median household income

Median household incomeEconomic connectedness in high school
Highest
Loudoun County, VA$178,7101.55
Santa Clara County, CA$159,6701.06
San Mateo County, CA$156,0001.1
Fairfax County, VA$150,1101.46
Howard County, MD$146,9801.56
Lowest
Holmes County, MS$29,4340.273
McDowell County, WV$29,9800.282
Brooks County, TX$31,3100.634
Claiborne Parish, LA$31,7840.502
Bell County, KY$32,4030.283

By economic connectedness in high school

Median household incomeEconomic connectedness in high school
Highest
Calvert County, MD$132,0601.61
Hunterdon County, NJ$139,4501.58
Howard County, MD$146,9801.56
Loudoun County, VA$178,7101.55
Stafford County, VA$133,7901.53
Lowest
Magoffin County, KY$33,6320.222
Leslie County, KY$40,1760.229
Breathitt County, KY$41,1010.249
Knox County, KY$33,1530.257
McCreary County, KY$37,3550.265
States — Economic connectedness in high school is not published for states

By median household income

Median household incomeEconomic connectedness in high school
Highest
District of Columbia$106,290—
Maryland$101,650—
Massachusetts$101,340—
New Jersey$101,050—
Hawaii$98,317—
Lowest
Puerto Rico$25,096—
Mississippi$54,915—
West Virginia$57,917—
Arkansas$58,773—
Louisiana$60,023—
Metro areas — Median household income is not published for metro areas

By economic connectedness in high school

Median household incomeEconomic connectedness in high school
Highest
Lexington Park, MD—1.54
Los Alamos, NM—1.41
Williston, ND—1.39
Fairbanks-College, AK—1.38
Provo-Orem-Lehi, UT—1.38
Lowest
Middlesborough, KY—0.283
Pikeville, KY—0.338
Deming, NM—0.35
Clarksdale, MS—0.362
Corbin, KY—0.362
Cities and towns — Economic connectedness in high school is not published for cities and towns

By median household income

Median household incomeEconomic connectedness in high school
Highest — 41 are at $250,000 or more; five shown.
Glencoe village, IL$250,000 or more—
Hinsdale village, IL$250,000 or more—
Winnetka village, IL$250,000 or more—
Travilah CDP, MD$250,000 or more—
Wellesley CDP, MA$250,000 or more—
Lowest
Aguadilla zona urbana, PR$13,125—
Guánica zona urbana, PR$14,772—
Utuado zona urbana, PR$14,843—
Las Piedras zona urbana, PR$14,995—
Manatí zona urbana, PR$15,912—
ZIP codes — Economic connectedness in high school is not published for ZIP codes

By median household income

Median household incomeEconomic connectedness in high school
Highest — 40 are at $250,000 or more; five shown.
ZIP 10007 (New York city, NY)$250,000 or more—
ZIP 10282 (New York city, NY)$250,000 or more—
ZIP 10502 (Ardsley village, NY)$250,000 or more—
ZIP 10506 (Westchester County, NY)$250,000 or more—
ZIP 10514 (Westchester County, NY)$250,000 or more—
Lowest
ZIP 00913 (San Juan zona urbana, PR)$6,229—
ZIP 00717 (Ponce zona urbana, PR)$13,282—
ZIP 79901 (El Paso city, TX)$13,984—
ZIP 00915 (San Juan zona urbana, PR)$14,502—
ZIP 00653 (Guánica Municipio, PR)$15,225—

Counties furthest from the pattern

Compared with the straight line that best fits all 2,730 counties: the five with far more economic connectedness in high school than their median household income would suggest, and the five with far less.

Median household incomeEconomic connectedness in high school
Above the line
Madison County, ID$58,2591.52
Whitman County, WA$52,8931.33
Dickey County, ND$63,1251.32
Wells County, ND$61,3461.3
Crane County, TX$59,9151.25
Below the line
San Francisco County, CA$141,4500.762
Santa Clara County, CA$159,6701.06
San Mateo County, CA$156,0001.1
Greene County, GA$84,5300.442
New York County, NY$104,5500.652

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+0.7822,729 counties reporting both
After adjusting for density, income and education+0.624the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.623size taken out as well as density
Also comparing only within each state+0.562each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.549the adjusted link for the average resident rather than the average county. With this weighting, the data counts for about 284 equally weighted counties
Middle value inside single states+0.777the link worked out inside each of 39 states with at least 20 counties reporting
Using ranks, after adjusting+0.629uses 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 = 5.1e-294. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.6e-21. 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 7.3e-293.

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 +0.38 (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 Median household income and Economic connectedness in high school