placestats

Mean income of arriving households and Mean income of departing households

Where Mean income of arriving households is higher, Mean income of departing households tends to be higher. The link is moderate: +0.55 across 3,074 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 +0.79.

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

Mean income of arriving households

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

IRS county migration flows · IRS SOI migration, county aggregates

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 mean income of arriving households

Mean income of arriving householdsMean income of departing households
Highest
Collier County, FL$283,470$126,380
Summit County, UT$267,830$139,520
Marin County, CA$234,840$166,660
Greene County, GA$215,010$104,890
Wasatch County, UT$188,850$108,320
Lowest
Sioux County, ND$21,793$35,000
Taliaferro County, GA$25,212$30,125
Madison Parish, LA$26,014$29,067
Sharkey County, MS$26,580$34,770
Quitman County, MS$27,679$33,740

By mean income of departing households

Mean income of arriving householdsMean income of departing households
Highest
San Francisco County, CA$140,720$197,250
Pitkin County, CO$164,790$190,290
San Mateo County, CA$167,340$186,430
New York County, NY$139,410$184,460
Santa Clara County, CA$144,230$176,300
Lowest
Liberty County, MT$32,833$16,132
Buffalo County, SD$32,067$21,857
Comanche County, KS$37,565$25,222
Glascock County, GA$41,860$25,283
Hamilton County, KS$39,214$26,690
States

By mean income of arriving households

Mean income of arriving householdsMean income of departing households
Highest
Florida$121,230$75,964
Connecticut$110,950$107,280
New Hampshire$108,990$88,031
New Jersey$102,350$107,090
California$95,714$103,240
Lowest
North Dakota$54,547$64,678
Mississippi$56,877$53,459
Louisiana$58,224$62,595
West Virginia$58,478$60,437
Oklahoma$58,984$60,452

By mean income of departing households

Mean income of arriving householdsMean income of departing households
Highest
District of Columbia$86,659$117,230
Massachusetts$90,442$116,360
Connecticut$110,950$107,280
New Jersey$102,350$107,090
New York$94,532$106,890
Lowest
Mississippi$56,877$53,459
Arkansas$62,968$59,308
West Virginia$58,478$60,437
Oklahoma$58,984$60,452
Louisiana$58,224$62,595
Metro areas

By mean income of arriving households

Mean income of arriving householdsMean income of departing households
Highest
Naples-Marco Island, FL$283,470$126,380
Heber, UT$246,880$124,060
Key West-Key Largo, FL$170,380$104,080
Jackson, WY-ID$169,430$113,550
Vineyard Haven, MA$167,880$117,290
Lowest
Greenville, MS$31,187$40,052
Deming, NM$33,527$42,667
Forrest City, AR$33,747$35,708
Kennett, MO$34,168$36,678
Greenwood, MS$34,844$44,371

By mean income of departing households

Mean income of arriving householdsMean income of departing households
Highest
San Jose-Sunnyvale-Santa Clara, CA$143,390$175,160
San Francisco-Oakland-Fremont, CA$133,490$156,960
Nantucket, MA$132,250$156,720
Gardnerville Ranchos, NV-CA$144,160$148,660
Bridgeport-Stamford-Danbury, CT$162,280$133,340
Lowest
Middlesborough, KY$35,272$34,039
Forrest City, AR$33,747$35,708
Moultrie, GA$41,971$36,372
Kennett, MO$34,168$36,678
Clarksdale, MS$39,422$37,933

Counties furthest from the pattern

Compared with the straight line that best fits all 3,087 counties: the five with far more mean income of departing households than their mean income of arriving households would suggest, and the five with far less.

Mean income of arriving householdsMean income of departing households
Above the line
Irion County, TX$74,763$155,190
San Francisco County, CA$140,720$197,250
New York County, NY$139,410$184,460
Pitkin County, CO$164,790$190,290
Bowman County, ND$62,787$124,400
Below the line
Collier County, FL$283,470$126,380
Stonewall County, TX$125,410$39,214
Greene County, GA$215,010$104,890
Summit County, UT$267,830$139,520
Rappahannock County, VA$152,310$69,243

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+0.7953,074 counties reporting both
After adjusting for density, income and education+0.550the part of the link that is not just how urban, rich and educated a place is
Also adjusting for population size+0.546size taken out as well as density
Also comparing only within each state+0.514each county is compared only with others in its own state, so this is no longer a comparison between states
Giving bigger counties more weight+0.611the 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+0.794the link worked out inside each of 40 states with at least 20 counties reporting
Using ranks, after adjusting+0.479uses 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 = 2.9e-242. But counties in the same state tend to resemble each other, so the better figure allows for that: p = 4.0e-20. 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 3.7e-241.

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 +0.15 (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 mean income of arriving households 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 years3,072+0.08+0.040.581

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 Mean income of arriving households and Mean income of departing households