People who did not move
Tax filers who filed from the same address in both years.
Reported for3,143areas, in 51 states — none in PR
Link to density0.86mostly reflects how urban a place is
Nearby places alike0.33Moran’s I: strongly, neighbouring places tend to be similar
Typecountcounts rise and fall together from size alone
How it has moved
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Every state, every year
One row per state and one column per year, sorted by the latest value. It shows states, not counties: nobody can scan 3,222 rows, and the pattern only shows when it all fits on one screen.
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Where it comes from
IRS county migration flows · IRS SOI migration, county aggregates
People on tax returns filed from the same address in both years. Every rate here is worked out per 100 of these people. Published for counties and states. Metro area figures are worked out here from county-to-county moves. Moves between counties inside the same metro area are left out, since they do not count as moving to or from the metro area.
Combining areas: added up across areas.
What it goes with
The strongest links that have a page of their own. Unadjusted is the link before adjusting for anything, from −1 (opposite) to +1 (in step). Adjusted compares places with the same population density, income and education levels, so those differences can’t explain the link. This list leaves out the 3 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| People who did not move and Share foreign-bornWhere People who did not move is higher, Share foreign-born tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share foreign-born by US county | +0.49 | +0.38 |
| People who did not move and Share Asian, not HispanicWhere People who did not move is higher, Share Asian, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Asian, not Hispanic by US county | +0.46 | +0.31 |
Population makeup
How this measure varies with the racial and ethnic makeup of counties. Every group is shown, whatever its rank. These are links across counties: they describe places, not people. They say nothing about any person’s risk or behaviour based on their race. Counties with a larger share of one group also differ in much else, such as income, segregation, region and history. The adjusted figure only accounts for density, income and education.
| Share of residents | Unadjusted | Adjusted |
|---|---|---|
| People who did not move and Share White, not HispanicWhere People who did not move is higher, Share White, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share White, not Hispanic by US county | -0.26 | -0.24 |
| People who did not move and Share Black, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Black, not Hispanic by US county | +0.01 | +0.02 |
| People who did not move and Share Hispanic or Latino, any raceWhere People who did not move is higher, Share Hispanic or Latino, any race tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Hispanic or Latino, any race by US county | +0.20 | +0.24 |
| People who did not move and Share Asian, not HispanicWhere People who did not move is higher, Share Asian, not Hispanic tends to be higher: a weak link that holds when only places with similar density, income and education are compared, and inside states as well. Share Asian, not Hispanic by US county | +0.46 | +0.31 |
| People who did not move and Share American Indian or Alaska Native, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county | -0.11 | +0.08 |
Highest and lowest, per 1,000 residents
Of 3,141 counties reporting it. This is a count, so it is ranked per 1,000 residents, not as published. Ranked by raw totals, it would just list the largest counties in the country. Its link to population is 0.86, so the raw order would match almost every other count here. The published totals are in the table on each place page.
Highest
- Glasscock County, TX — 1120.56 (1,199 total)
- Garfield County, MT — 1057.57 (992 total)
- Presidio County, TX — 1029.12 (6,219 total)
- McMullen County, TX — 1014.45 (632 total)
- Daggett County, UT — 1013.39 (757 total)
Lowest
- Aleutians East Borough, AK — 266.73 (913 total)
- Crowley County, CO — 347.05 (1,990 total)
- Ziebach County, SD — 386.31 (931 total)
- Alpine County, CA — 409.44 (694 total)
- Wheeler County, GA — 424.40 (3,155 total)
The middle area reports 759.27. The middle half of counties falls between 711.30 and 805.25 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works