state
Home prices in New York since you bought
A home in New York bought 10 years ago is worth about 96.6% more today if it kept pace with its state, about 7.0% a year (2016 Q2 to 2026 Q2). The figures are the federal FHFA House Price Index, quarterly, latest 2026 Q2.
Appreciation over 1, 5, 10 and 20 years
| Window | Change | Per year | $300,000 then is now | After inflation | Periods |
|---|---|---|---|---|---|
| 1 year | +5.3% | +5.3% | $315,926 | +1.4% (+1.4%/yr) | 2025 Q2 → 2026 Q2 |
| 5 years | +49.9% | +8.4% | $449,639 | +20.8% (+3.9%/yr) | 2021 Q2 → 2026 Q2 |
| 10 years | +96.6% | +7.0% | $589,771 | +41.3% (+3.5%/yr) | 2016 Q2 → 2026 Q2 |
| 20 years | +88.3% | +3.2% | $565,036 | +14.1% (+0.7%/yr) | 2006 Q2 → 2026 Q2 |
After inflation: the same change measured in dollars of constant buying power, using the CPI-U (all items, US city average) averaged over the start and end periods; the national series, not a local cost of living.
Informational only, not an appraisal. This is the area’s average from repeat sales on conforming mortgages; it knows nothing about any particular house.
How New York compares
| Area | 1 yr | 5 yr | 10 yr | 20 yr |
|---|---|---|---|---|
| New York | +5.3% | +49.9% | +96.6% | +88.3% |
| United States | +3.0% | +41.3% | +93.3% | +93.5% |
Windows end at each series’ own latest period; the annual county and ZIP indexes end a few quarters before the quarterly state and metro ones.
What is your home worth since you bought it?
The home value since purchase calculator takes your purchase price, month, year and ZIP and applies the smallest area’s index, falling back to the state when the ZIP has no data.
Metro areas in New York, ranked by 5-year change
| # | Area | 5 yr | Per year | 10 yr |
|---|---|---|---|---|
| 1 | Syracuse, NY | +64.1% | +10.4% | +114.6% |
| 2 | Rochester, NY | +61.9% | +10.1% | +117.1% |
| 3 | Utica-Rome, NY | +58.0% | +9.6% | +104.3% |
| 4 | Glens Falls, NY | +51.4% | +8.7% | +90.4% |
| 5 | Albany-Schenectady-Troy, NY | +51.0% | +8.6% | +84.9% |
| 6 | Binghamton, NY | +50.9% | +8.6% | +82.1% |
| 7 | Buffalo-Cheektowaga, NY | +50.8% | +8.6% | +111.8% |
| 8 | Kiryas Joel-Poughkeepsie-Newburgh, NY | +49.4% | +8.4% | +110.7% |
| 9 | Nassau County-Suffolk County, NY | +47.7% | +8.1% | +96.2% |
| 10 | Kingston, NY | +46.2% | +7.9% | +122.4% |
| 11 | New York-Jersey City-White Plains, NY-NJ | +45.1% | +7.7% | +81.4% |
| 12 | Ithaca, NY | +41.6% | +7.2% | +68.7% |
| 13 | Elmira, NY | +41.2% | +7.1% | +67.8% |
| 14 | Watertown-Fort Drum, NY | +39.1% | +6.8% | +67.5% |
Each row is that area’s own index over its own latest 5 and 10 years; annual county and ZIP series end earlier than quarterly state and metro ones. A dash means the index has no value at the start of that window.
Counties in New York, ranked by 5-year change
| # | Area | 5 yr | Per year | 10 yr |
|---|---|---|---|---|
| 1 | Sullivan County | +77.5% | +12.2% | +119.7% |
| 2 | Montgomery County | +73.7% | +11.7% | +97.9% |
| 3 | Orleans County | +69.8% | +11.2% | +106.8% |
| 4 | Schoharie County | +69.2% | +11.1% | +100.7% |
| 5 | Monroe County | +69.0% | +11.1% | +106.3% |
| 6 | Cattaraugus County | +68.5% | +11.0% | +94.5% |
| 7 | Schuyler County | +68.5% | +11.0% | +100.5% |
| 8 | Onondaga County | +67.3% | +10.8% | +101.5% |
| 9 | Ulster County | +66.4% | +10.7% | +113.0% |
| 10 | Wayne County | +66.4% | +10.7% | +105.4% |
| 11 | Greene County | +64.5% | +10.5% | +101.2% |
| 12 | Oswego County | +64.4% | +10.5% | +94.8% |
| 13 | Seneca County | +63.2% | +10.3% | +93.2% |
| 14 | Madison County | +62.9% | +10.3% | +86.3% |
| 15 | Orange County | +62.0% | +10.1% | +101.1% |
| 16 | Columbia County | +61.1% | +10.0% | +103.1% |
| 17 | Ontario County | +60.9% | +10.0% | +90.1% |
| 18 | Delaware County | +60.8% | +10.0% | +88.5% |
| 19 | Fulton County | +59.8% | +9.8% | +82.0% |
| 20 | Livingston County | +59.6% | +9.8% | +92.6% |
| 21 | Niagara County | +59.2% | +9.7% | +107.1% |
| 22 | Erie County | +57.5% | +9.5% | +104.3% |
| 23 | Schenectady County | +57.3% | +9.5% | +79.7% |
| 24 | Wyoming County | +57.1% | +9.5% | +84.7% |
| 25 | Yates County | +56.5% | +9.4% | +94.7% |
| 26 | Franklin County | +56.5% | +9.4% | +76.2% |
| 27 | Rockland County | +56.1% | +9.3% | +83.1% |
| 28 | Tompkins County | +56.1% | +9.3% | +79.3% |
| 29 | Oneida County | +56.0% | +9.3% | +92.1% |
| 30 | Lewis County | +55.9% | +9.3% | +73.7% |
| 31 | Dutchess County | +55.9% | +9.3% | +89.8% |
| 32 | Cortland County | +55.1% | +9.2% | +76.2% |
| 33 | Broome County | +55.0% | +9.2% | +78.8% |
| 34 | Suffolk County | +54.4% | +9.1% | +92.3% |
| 35 | Chautauqua County | +53.9% | +9.0% | +87.3% |
| 36 | Essex County | +53.8% | +9.0% | +87.4% |
| 37 | Herkimer County | +53.5% | +9.0% | +83.9% |
| 38 | Warren County | +52.7% | +8.8% | +75.8% |
| 39 | Saratoga County | +52.1% | +8.7% | +73.4% |
| 40 | Cayuga County | +51.6% | +8.7% | +78.1% |
| 41 | Tioga County | +51.6% | +8.7% | +71.4% |
| 42 | Rensselaer County | +51.4% | +8.6% | +76.3% |
| 43 | Allegany County | +50.7% | +8.6% | +70.0% |
| 44 | Albany County | +50.5% | +8.5% | +71.2% |
| 45 | Genesee County | +50.4% | +8.5% | +90.4% |
| 46 | Putnam County | +48.4% | +8.2% | +72.7% |
| 47 | Clinton County | +48.4% | +8.2% | +67.8% |
| 48 | Washington County | +48.3% | +8.2% | +69.0% |
| 49 | Otsego County | +47.6% | +8.1% | +69.5% |
| 50 | Chenango County | +46.9% | +8.0% | +69.7% |
| 51 | Hamilton County | +46.3% | +7.9% | +52.3% |
| 52 | Nassau County | +44.5% | +7.6% | +81.5% |
| 53 | New York County | — | +3.7% (10 yr) | +43.2% |
| 54 | Westchester County | +41.8% | +7.2% | +62.3% |
| 55 | Saint Lawrence County | +39.0% | +6.8% | +54.2% |
| 56 | Steuben County | +38.2% | +6.7% | +63.2% |
| 57 | Chemung County | +37.0% | +6.5% | +51.3% |
| 58 | Jefferson County | +34.2% | +6.1% | +42.0% |
| 59 | Bronx County | +31.3% | +5.6% | +77.3% |
| 60 | Richmond County | +28.1% | +5.1% | +69.4% |
| 61 | Queens County | +26.1% | +4.8% | +67.1% |
| 62 | Kings County | +20.1% | +3.7% | +56.9% |
Each row is that area’s own index over its own latest 5 and 10 years; annual county and ZIP series end earlier than quarterly state and metro ones. A dash means the index has no value at the start of that window.
Where these figures come from
Series. FHFA HPI, traditional / all-transactions / quarterly, NSA, State NY, from the FHFA House Price Index datasets. Each change is the index at the end of the window divided by the index at its start, ending at the latest published period (2026 Q2). Per-year figures are compound annual rates. Snapshot vintage: master file through 2026 Q2.
What it leaves out. The index is estimated from repeat sales and appraisals on mortgages bought or guaranteed by Fannie Mae and Freddie Mac, so cash, jumbo, FHA and VA purchases are not in it. It tracks the area, not any house: renovations, condition and lot are invisible to it.
Data pulled 2026-09-28. FHFA publishes state and metro indexes quarterly and county and ZIP indexes annually; this page updates with each pull.