House price change
The percentage change in house prices from the year before, from homes that sold more than once. It only covers homes with a mortgage from Fannie Mae or Freddie Mac. In small counties with few sales, it can jump around.
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
FHFA House Price Index · FHFA HPI all-transactions annual (developmental county/state), annual change
The change in a repeat-sales price index from the year before. FHFA fits each area's index from its own sales, so it is not an average of smaller areas.
Combining areas: it cannot be combined, so it is shown only where its publisher works it out.
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 1 pairs built from the same numbers or the same model as this measure, since they are bound to match.
| Measure | Unadjusted | Adjusted |
|---|---|---|
| House price change and Economic connectedness in high schoolPoints one way across counties (-0.07) and the other across people (+0.10), when bigger places count for more: the average county and the average resident disagree. Economic connectedness in high school by US county | -0.13 | -0.07 |
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 |
|---|---|---|
| House price change 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 | +0.07 | +0.09 |
| House price change 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 | +0.06 | +0.01 |
| House price change and Share Hispanic or Latino, any raceWhere House price change 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. Share Hispanic or Latino, any race by US county | -0.14 | -0.12 |
| House price change 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 | -0.13 | -0.08 |
| House price change 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 | +0.03 | +0.01 |
Highest and lowest
Of 2,650 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
- Gonzales County, TX — 48.1
- Evans County, GA — 46.8
- Webster County, MS — 45.5
- Macon County, GA — 43.6
- Jones County, NC — 41.5
Lowest
- Sargent County, ND — -37.8
- Valley County, NE — -17.7
- Turner County, GA — -15.9
- Pecos County, TX — -15.8
- Walworth County, SD — -15.3
The middle area reports 7.66. The middle half of counties falls between 4.49 and 10.7 (the 25th to 75th percentile).
US Counties With the Highest House Price Change · US Counties With the Lowest House Price Change
All measures · Explore its pairs · How the US county data works