Research · PlainZIP analysis
Home Prices by ZIP Code, 2015 to 2025
In the 15,625 ZIP codes where FHFA reports a house price index for both 2015 and 2025, the median ZIP saw prices rise 92% over the ten years.
Published October 9, 2026 by PlainZIP · written with AI tools from PlainZIP's database · figures passed the automated checks on October 9, 2026 · method
- Idaho+157%
- Florida+134%
- Utah+125%
- Washington+123%
- Nevada+123%
- Arizona+121%
- Tennessee+121%
- New Hampshire+116%
- Georgia+115%
- Maine+115%
- Montana+113%
- Rhode Island+109%
Where did home prices rise fastest?
FHFA's index rose most in 32759 (Oak Hill, FL): +278% from 2015 to 2025. The full list of the fastest rises is the ranking Where Home Prices Rose Fastest; this study keeps the slowest and the state medians, which no ranking lists. 4 ZIP codes where FHFA's index and the Census survey's median home value moved in opposite, measurable directions are left out of both lists: the two measures disagree there, and FHFA calls its ZIP indexes developmental.
The lowest FHFA index changes
| ZIP | Town | Ten years | Five years |
|---|---|---|---|
| 94127 | San Francisco, CA | +5% | +10% |
| 70380 | Morgan City, LA | +5% | +4% |
| 71220 | Bastrop, LA | +5% | +6% |
| 43145 | New Holland, OH | +6% | -11% |
| 11363 | Little Neck, NY | +7% | -7% |
| 70427 | Bogalusa, LA | +8% | -5% |
| 70345 | Cut Off, LA | +10% | +13% |
| 58545 | Hazen, ND | +10% | +18% |
| 71104 | Shreveport, LA | +11% | +10% |
| 55403 | Minneapolis, MN | +11% | -3% |
| 94131 | San Francisco, CA | +11% | +15% |
| 39202 | Jackson, MS | +12% | +17% |
| 62016 | Carrollton, IL | +12% | +8% |
| 70601 | Lake Charles, LA | +13% | -4% |
| 95120 | San Jose, CA | +13% | +22% |
Source: FHFA House Price Index, annual five-digit ZIP, last updated 2026-03-31.
By state: the median ZIP code
| State | ZIP codes | Median change |
|---|---|---|
| Idaho | 113 | +157% |
| Florida | 733 | +134% |
| Utah | 141 | +125% |
| Washington | 360 | +123% |
| Nevada | 86 | +123% |
| Arizona | 234 | +121% |
| Tennessee | 361 | +121% |
| New Hampshire | 175 | +116% |
| Georgia | 433 | +115% |
| Maine | 139 | +115% |
| Montana | 88 | +113% |
| Rhode Island | 59 | +109% |
| North Carolina | 463 | +106% |
| South Carolina | 229 | +104% |
| Michigan | 703 | +103% |
| Oregon | 237 | +100% |
| Colorado | 277 | +99% |
| Wisconsin | 509 | +98% |
| Indiana | 459 | +96% |
| Missouri | 380 | +94% |
| Ohio | 727 | +94% |
| Texas | 886 | +94% |
| South Dakota | 68 | +92% |
| New Jersey | 480 | +91% |
| Nebraska | 157 | +91% |
| Massachusetts | 377 | +90% |
| California | 1,069 | +88% |
| Vermont | 73 | +88% |
| New York | 785 | +87% |
| Kentucky | 219 | +87% |
| Kansas | 192 | +83% |
| New Mexico | 78 | +82% |
| Delaware | 47 | +79% |
| Alabama | 303 | +78% |
| Pennsylvania | 723 | +77% |
| Virginia | 431 | +77% |
| Minnesota | 455 | +76% |
| Wyoming | 43 | +76% |
| Connecticut | 220 | +75% |
| Oklahoma | 178 | +75% |
| Hawaii | 32 | +73% |
| Arkansas | 153 | +69% |
| Iowa | 293 | +68% |
| Illinois | 665 | +65% |
| Maryland | 303 | +63% |
| Mississippi | 124 | +61% |
| West Virginia | 73 | +55% |
| Alaska | 27 | +53% |
| North Dakota | 33 | +50% |
| District of Columbia | 15 | +41% |
| Louisiana | 217 | +40% |
Source: FHFA House Price Index, annual five-digit ZIP, last updated 2026-03-31.
Method and limits
The change in FHFA's annual five-digit ZIP house price index from 2015 to 2025. The index is built from repeat sales and refinance appraisals of the same homes with mortgages bought or guaranteed by Fannie Mae and Freddie Mac; FHFA calls the ZIP-level series developmental: a single ZIP's index rests on the repeat sales and refinances of homes with Fannie Mae or Freddie Mac mortgages and can move against its local market, so the extremes in the lists (a fall in a ZIP whose prices rose in local listings) are the index's reading, not a market report. The two lists leave out ZIP codes where the index and the Census survey's median home value (2015-2019 to 2020-2024) move in opposite directions by more than the survey's margins. Rankings: ZIP codes with 1,000+ people.
Every figure on this page is read from the PlainZIP database, built from the files named above; the same figures appear on each ZIP code's own page. The ZIP-level figures are one file: every ZIP code as CSV (columns on the methodology page).