placestats

Per capita income and Mean income of departing households

Where Per capita income is higher, Mean income of departing households tends to be higher. The link is moderate: +0.43 across 3,097 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 +0.83.

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

Per capita income

All the money income in the area divided by everyone who lives there, children included. It is an average, so a few high earners pull it up, unlike the middle household income.

Census ACS 5-year · ACS table B19301_001

Mean income of departing households

The average income on the tax returns of people who moved out.

IRS county migration flows · IRS SOI migration, county aggregates

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 per capita income

Per capita incomeMean income of departing households
Highest
Pitkin County, CO$105,100$190,290
New York County, NY$94,922$184,460
Marin County, CA$90,408$166,660
San Francisco County, CA$90,285$197,250
Arlington County, VA$88,024$124,640
Lowest
Oglala Lakota County, SD$11,650$31,443
Todd County, SD$13,849$44,949
Wolfe County, KY$15,253$33,451
Lake County, TN$16,275$40,670
La Salle County, TX$16,317$106,380

By mean income of departing households

Per capita incomeMean income of departing households
Highest
San Francisco County, CA$90,285$197,250
Pitkin County, CO$105,100$190,290
San Mateo County, CA$81,980$186,430
New York County, NY$94,922$184,460
Santa Clara County, CA$77,018$176,300
Lowest
Liberty County, MT$32,500$16,132
Buffalo County, SD$17,408$21,857
Comanche County, KS$31,710$25,222
Glascock County, GA$26,537$25,283
Hamilton County, KS$29,409$26,690
States

By per capita income

Per capita incomeMean income of departing households
Highest
District of Columbia$75,253$117,230
Massachusetts$56,284$116,360
Connecticut$54,409$107,280
New Jersey$53,118$107,090
Maryland$51,689$88,442
Lowest
Mississippi$30,529$53,459
West Virginia$32,949$60,437
Arkansas$33,147$59,308
Louisiana$34,211$62,595
New Mexico$34,823$68,473

By mean income of departing households

Per capita incomeMean income of departing households
Highest
District of Columbia$75,253$117,230
Massachusetts$56,284$116,360
Connecticut$54,409$107,280
New Jersey$53,118$107,090
New York$49,520$106,890
Lowest
Mississippi$30,529$53,459
Arkansas$33,147$59,308
West Virginia$32,949$60,437
Oklahoma$34,859$60,452
Louisiana$34,211$62,595
Metro areas

By per capita income

Per capita incomeMean income of departing households
Highest
San Jose-Sunnyvale-Santa Clara, CA$75,895$175,160
Nantucket, MA$72,733$156,720
Los Alamos, NM$72,684$108,590
San Francisco-Oakland-Fremont, CA$72,306$156,960
Vineyard Haven, MA$71,014$117,290
Lowest
Rio Grande City-Roma, TX$18,063$39,747
Zapata, TX$19,131$41,975
Gallup, NM$19,580$43,470
Middlesborough, KY$20,463$34,039
Deming, NM$21,871$42,667

By mean income of departing households

Per capita incomeMean income of departing households
Highest
San Jose-Sunnyvale-Santa Clara, CA$75,895$175,160
San Francisco-Oakland-Fremont, CA$72,306$156,960
Nantucket, MA$72,733$156,720
Gardnerville Ranchos, NV-CA$52,926$148,660
Bridgeport-Stamford-Danbury, CT$69,642$133,340
Lowest
Middlesborough, KY$20,463$34,039
Forrest City, AR$22,296$35,708
Moultrie, GA$27,073$36,372
Kennett, MO$26,121$36,678
Clarksdale, MS$23,098$37,933
Cities and towns — Mean income of departing households is not published for cities and towns

By per capita income

Per capita incomeMean income of departing households
Highest
Palm Beach town, FL$211,810—
Atherton town, CA$203,140—
Highland Park town, TX$187,200—
Scarsdale village, NY$181,920—
Cherry Hills Village city, CO$176,850—
Lowest
Binghamton University CDP, NY$2,240—
Clemson University CDP, SC$4,362—
California Polytechnic State University CDP, CA$5,540—
Stony Brook University CDP, NY$6,166—
Notre Dame CDP, IN$7,117—
ZIP codes — Mean income of departing households is not published for ZIP codes

By per capita income

Per capita incomeMean income of departing households
Highest
ZIP 10007 (New York city, NY)$209,000—
ZIP 10282 (New York city, NY)$207,030—
ZIP 94027 (Atherton town, CA)$203,240—
ZIP 94105 (San Francisco city, CA)$196,160—
ZIP 33480 (Palm Beach town, FL)$194,910—
Lowest
ZIP 32816 (University CDP, FL)$1,570—
ZIP 13902 (Binghamton University CDP, NY)$2,240—
ZIP 33620 (Tampa city, FL)$2,713—
ZIP 79406 (Lubbock city, TX)$2,722—
ZIP 32612 (Gainesville city, FL)$2,878—

Counties furthest from the pattern

Compared with the straight line that best fits all 3,111 counties: the five with far more mean income of departing households than their per capita income would suggest, and the five with far less.

Per capita incomeMean income of departing households
Above the line
Irion County, TX$32,883$155,190
La Salle County, TX$16,317$106,380
Douglas County, NV$52,915$151,080
Bowman County, ND$40,067$124,400
Martin County, TX$46,701$133,460
Below the line
Denali Borough, AK$73,423$71,963
Jerauld County, SD$47,339$39,538
Liberty County, MT$32,500$16,132
Skagway Municipality, AK$53,798$51,556
Rush County, KS$45,168$39,329

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+0.8373,097 counties reporting both
After adjusting for density, income and education+0.431the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.454size taken out as well as density
Also comparing only within each state+0.452each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.668the 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+0.834the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting+0.280uses 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 = 1.7e-140. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 1.4e-12. 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 1.7e-139.

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 +0.24 (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 per capita income rose most, did mean income of departing householdsmove 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 pandemic————
2019–2023 a repeat check: its two five-year survey figures both include 2019, and it covers the COVID years3,099+0.08+0.050.074

Not measurable over the main period, so only the second period is shown. 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 Per capita income and Mean income of departing households