Population in the same house one year ago
The number of people who lived in the same home a year earlier. It measures how settled a place is, the opposite of how often people move in and out.
Reported for3,141areas, in 51 states — none in PR
Link to density0.87mostly 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
Census ACS 5-year · ACS table B07001_017
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 49 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| Population in the same house one year ago and Share foreign-bornWhere Population in the same house one year ago 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 |
| Population in the same house one year ago and Share Asian, not HispanicWhere Population in the same house one year ago 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 | +0.45 | +0.30 |
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 |
|---|---|---|
| Population in the same house one year ago and Share White, not HispanicWhere Population in the same house one year ago 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 |
| Population in the same house one year ago 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 | +0.02 | +0.02 |
| Population in the same house one year ago and Share Hispanic or Latino, any raceWhere Population in the same house one year ago 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 |
| Population in the same house one year ago and Share Asian, not HispanicWhere Population in the same house one year ago 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 | +0.45 | +0.30 |
| Population in the same house one year ago 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 | -0.10 | +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 0.87, so the raw order would match almost every other count here. The published totals are in the table on each place page.
Highest
- Taliaferro County, GA — 998.85 (1,738 total)
- Terrell County, TX — 992.95 (845 total)
- Baker County, GA — 984.81 (2,787 total)
- Sherman County, TX — 979.46 (2,384 total)
- Haakon County, SD — 978.92 (1,672 total)
Lowest
- Madison County, ID — 609.56 (32,659 total)
- Chattahoochee County, GA — 623.90 (5,728 total)
- Albany County, WY — 678.55 (25,590 total)
- Clay County, SD — 679.31 (10,280 total)
- Pulaski County, MO — 687.91 (37,044 total)
The middle area reports 880.97. The middle half of counties falls between 858.02 and 901.35 (the 25th to 75th percentile).
All measures · Explore its pairs · How the US county data works