Net migration per 100 people staying
People moving in minus people moving out, for every hundred who stayed. Positive means the area gained filers. It says nothing about how many moved each way.
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
Arrivals minus departures. It is exactly the first rate minus the second, since both are worked out per 100 of the same 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: an average weighted by people who did not move.
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 |
|---|---|---|
| Net migration per 100 people staying and Income gap between arrivals and departuresWhere Net migration per 100 people staying is higher, Income gap between arrivals and departures 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. Income gap between arrivals and departures by US county | +0.37 | +0.39 |
| Net migration per 100 people staying and Homeownership rateWhere Net migration per 100 people staying is higher, Homeownership rate 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. Homeownership rate by US county | +0.30 | +0.35 |
| Net migration per 100 people staying and Share never marriedWhere Net migration per 100 people staying is higher, Share never married 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 never married by US county | -0.30 | -0.35 |
| Net migration per 100 people staying and Homicide rate, annualWhere Net migration per 100 people staying is higher, Homicide rate, annual tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Homicide rate, annual by US county | -0.24 | -0.34 |
| Net migration per 100 people staying and Median ageWhere Net migration per 100 people staying is higher, Median age 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. Median age by US county | +0.26 | +0.31 |
| Net migration per 100 people staying and Mean income of arriving householdsWhere Net migration per 100 people staying is higher, Mean income of arriving households 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. Mean income of arriving households by US county | +0.23 | +0.31 |
| Net migration per 100 people staying and Public-good pages per 1,000 usersPoints one way across counties (+0.11) and the other across people (-0.06), when bigger places count for more: the average county and the average resident disagree. Public-good pages per 1,000 users by US county | +0.00 | +0.11 |
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 |
|---|---|---|
| Net migration per 100 people staying and Share White, not HispanicWhere Net migration per 100 people staying is higher, Share White, 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 White, not Hispanic by US county | +0.19 | +0.21 |
| Net migration per 100 people staying and Share Black, not HispanicWhere Net migration per 100 people staying is higher, Share Black, 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 Black, not Hispanic by US county | -0.15 | -0.12 |
| Net migration per 100 people staying and Share Hispanic or Latino, any raceWhere Net migration per 100 people staying is higher, Share Hispanic or Latino, any race 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 Hispanic or Latino, any race by US county | -0.13 | -0.14 |
| Net migration per 100 people staying and Share Asian, not HispanicWhere Net migration per 100 people staying is higher, Share Asian, 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 Asian, not Hispanic by US county | -0.19 | -0.26 |
| Net migration per 100 people staying and Share American Indian or Alaska Native, not HispanicWhere Net migration per 100 people staying is higher, Share American Indian or Alaska Native, not Hispanic tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Share American Indian or Alaska Native, not Hispanic by US county | -0.13 | -0.13 |
Highest and lowest
Of 3,087 counties reporting it. These are the two ends of a national ranking. For most measures, that ranking mostly sorts places by income and how urban they are. That is why the place pages compare each place with similar places instead.
Highest
- Dawson County, GA — 6.2
- Liberty County, TX — 6.17
- Jasper County, SC — 6.1
- Jackson County, GA — 5.73
- Kaufman County, TX — 5.38
Lowest
- Aleutians East Borough, AK — -8.87
- Alpine County, CA — -7.35
- Deuel County, NE — -5.38
- Presidio County, TX — -4.68
- Liberty County, MT — -4.38
The middle area reports 0.19. The middle half of counties falls between -0.404 and 0.945 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works