Arrivals per 100 people staying
Tax filers who moved in, for every hundred who stayed put.
Reported for3,096areas, in 51 states — none in PR
Link to density0.21not mostly about how urban a place is
Nearby places alike0.45Moran’s I: strongly, neighbouring places tend to be similar
Typerateper 100
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 who moved in from elsewhere, per 100 people who stayed. 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 |
|---|---|---|
| Arrivals per 100 people staying and Mutual-friend shareWhere Arrivals per 100 people staying is higher, Mutual-friend share tends to be lower: a moderate link that holds when only places with similar density, income and education are compared, and inside states as well. Mutual-friend share by US county | -0.45 | -0.44 |
| Arrivals per 100 people staying and Friending clusteringWhere Arrivals per 100 people staying is higher, Friending clustering 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. Friending clustering by US county | -0.38 | -0.34 |
| Arrivals per 100 people staying and Mobility scoreWhere Arrivals per 100 people staying is higher, Mobility score tends to be lower: a weak link that holds when only places with similar density, income and education are compared. Mobility score by US county | -0.29 | -0.34 |
| Arrivals per 100 people staying and Share in the same house a year agoWhere Arrivals per 100 people staying is higher, Share in the same house a year ago 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 in the same house a year ago by US county | -0.37 | -0.33 |
| Arrivals per 100 people staying and Business opening rateWhere Arrivals per 100 people staying is higher, Business opening 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. Business opening rate by US county | +0.34 | +0.32 |
| Arrivals per 100 people staying and Effective property tax rateWhere Arrivals per 100 people staying is higher, Effective property tax rate 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. Effective property tax rate by US county | -0.27 | -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 |
|---|---|---|
| Arrivals per 100 people staying and Share White, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share White, not Hispanic by US county | -0.14 | -0.11 |
| Arrivals per 100 people staying 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 | +0.13 | +0.14 |
| Arrivals per 100 people staying and Share Hispanic or Latino, any raceCould easily be chance once only places with similar density, income and education are compared. Share Hispanic or Latino, any race by US county | +0.01 | +0.02 |
| Arrivals per 100 people staying and Share Asian, not HispanicCould easily be chance once only places with similar density, income and education are compared. Share Asian, not Hispanic by US county | +0.06 | -0.07 |
| Arrivals per 100 people staying 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 | -0.14 | -0.09 |
Highest and lowest
Of 3,096 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
- Chattahoochee County, GA — 46.3
- Williamsburg city, VA — 24.5
- Geary County, KS — 24
- Liberty County, GA — 21.1
- Long County, GA — 21
Lowest
- Sheridan County, MT — 1.33
- North Slope Borough, AK — 1.64
- Webb County, TX — 1.79
- McPherson County, SD — 1.85
- Fallon County, MT — 1.86
The middle area reports 5.91. The middle half of counties falls between 4.75 and 7.44 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works