Research
Do Home Prices Go Down? The Housing Crash and Recovery by State and ZIP Code
How far home prices fell after the 2000s housing peak, how long each state and 3-digit ZIP region took to recover, and what that history says about price risk.
Last updated 2026-09-30
Live data · FHFA HPI® through Q2 2026
The 2000s housing bust, measured
The U.S. index peaked in Q1 2007, fell 19.0% to Q2 2012, and regained its peak in Q4 2016, about 9.8 years after the top. 866 of 882 3-digit ZIP regions had a decline of at least 1%; Every one has since regained its peak.
Every state, deepest decline first
| State | Peak | Peak to low | Low point | Years to regain peak |
|---|---|---|---|---|
| Nevada | Q3 2006 | -55.7% | Q2 2012 | 13.8 |
| Arizona | Q4 2006 | -46.0% | Q2 2011 | 12.8 |
| Florida | Q4 2006 | -44.7% | Q2 2012 | 13.2 |
| California | Q3 2006 | -41.0% | Q1 2012 | 12.8 |
| Michigan | Q3 2005 | -29.4% | Q2 2011 | 12.8 |
| Rhode Island | Q2 2006 | -27.6% | Q4 2013 | 14.2 |
| Idaho | Q1 2008 | -26.9% | Q2 2011 | 9 |
| Oregon | Q2 2007 | -26.0% | Q2 2012 | 8.8 |
| Maryland | Q2 2007 | -25.3% | Q2 2012 | 14 |
| Washington | Q4 2007 | -25.2% | Q2 2012 | 8.5 |
| Georgia | Q1 2008 | -24.4% | Q2 2012 | 9.2 |
| New Jersey | Q1 2007 | -22.1% | Q2 2012 | 14 |
| Utah | Q4 2007 | -21.9% | Q2 2011 | 8.5 |
| Minnesota | Q1 2007 | -21.8% | Q2 2012 | 10.5 |
| Illinois | Q1 2007 | -21.8% | Q2 2012 | 14.2 |
| Delaware | Q2 2007 | -20.4% | Q2 2012 | 13.5 |
| Connecticut | Q1 2007 | -20.1% | Q1 2014 | 14.2 |
| New Hampshire | Q1 2006 | -20.0% | Q2 2012 | 12.2 |
| Hawaii | Q2 2007 | -18.5% | Q1 2011 | 8.5 |
| Massachusetts | Q1 2006 | -17.6% | Q2 2012 | 11.2 |
| Virginia | Q2 2007 | -17.4% | Q2 2012 | 12 |
| New Mexico | Q1 2008 | -15.7% | Q2 2012 | 11.2 |
| New York | Q1 2007 | -14.0% | Q2 2012 | 10.5 |
| Maine | Q1 2008 | -13.1% | Q2 2012 | 9.5 |
| North Carolina | Q1 2008 | -13.1% | Q2 2012 | 8.8 |
| South Carolina | Q1 2008 | -13.0% | Q2 2012 | 8.5 |
| Ohio | Q4 2005 | -12.9% | Q2 2012 | 11.5 |
| District of Columbia | Q3 2007 | -11.9% | Q3 2009 | 5.8 |
| Wisconsin | Q1 2008 | -11.9% | Q1 2014 | 9.2 |
| Missouri | Q2 2007 | -11.0% | Q2 2011 | 9.2 |
| Alabama | Q1 2009 | -10.4% | Q4 2013 | 8.8 |
| Colorado | Q1 2008 | -10.1% | Q2 2011 | 6 |
| Montana | Q1 2008 | -10.1% | Q2 2011 | 6.5 |
| Pennsylvania | Q1 2008 | -9.4% | Q2 2012 | 9.2 |
| Tennessee | Q1 2008 | -8.9% | Q2 2011 | 7.2 |
| Mississippi | Q1 2008 | -8.9% | Q4 2013 | 9.5 |
| Wyoming | Q2 2008 | -7.7% | Q2 2011 | 6.2 |
| West Virginia | Q1 2008 | -7.3% | Q2 2011 | 7.2 |
| Indiana | Q1 2008 | -7.3% | Q2 2011 | 7.5 |
| Vermont | Q1 2008 | -6.8% | Q1 2014 | 9.8 |
| Arkansas | Q4 2007 | -6.7% | Q2 2011 | 7.8 |
| Kansas | Q1 2008 | -5.0% | Q2 2011 | 6.5 |
| Kentucky | Q1 2008 | -4.4% | Q2 2011 | 7 |
| Louisiana | Q1 2009 | -4.2% | Q2 2011 | 5.2 |
| Texas | Q1 2009 | -4.2% | Q2 2011 | 4.2 |
| Oklahoma | Q1 2009 | -3.6% | Q3 2011 | 4.2 |
| Nebraska | Q1 2008 | -2.9% | Q2 2011 | 5 |
| Alaska | Q2 2007 | -2.7% | Q1 2010 | 5.5 |
| South Dakota | Q1 2009 | -2.7% | Q2 2010 | 3.5 |
| Iowa | Q1 2009 | -2.5% | Q2 2011 | 3.8 |
| North Dakota | Q4 2009 | -0.1% | Q2 2010 | No meaningful drop |
Deepest declines by 3-digit ZIP region
| 3-digit ZIP region | State | Peak | Peak to low | Years to regain peak |
|---|---|---|---|---|
| 891 · Las Vegas, NV area | NV | Q4 2006 | -61.9% | 14.5 |
| 952 · Stockton, CA area | CA | Q1 2006 | -59.9% | 15.2 |
| 890 · Henderson, NV area | NV | Q4 2006 | -59.5% | 14.2 |
| 924 · San Bernardino, CA area | CA | Q1 2007 | -59.3% | 13.8 |
| 953 · Modesto, CA area | CA | Q1 2006 | -59.0% | 15.2 |
| 948 · Richmond, CA area | CA | Q2 2006 | -57.5% | 12 |
| 851 · Casa Grande, AZ area | AZ | Q4 2006 | -55.8% | 13.5 |
| 349 · Port St. Lucie, FL area | FL | Q2 2006 | -55.6% | 14.5 |
| 935 · Lancaster, CA area | CA | Q3 2006 | -55.1% | 14.5 |
| 939 · Salinas, CA area | CA | Q1 2006 | -55.1% | 15.5 |
| 339 · Cape Coral, FL area | FL | Q2 2006 | -54.9% | 15 |
| 895 · Reno, NV area | NV | Q1 2006 | -54.1% | 12.5 |
| 925 · Riverside, CA area | CA | Q4 2006 | -54.0% | 14.2 |
| 341 · Bonita Springs, FL area | FL | Q3 2006 | -53.9% | 14.8 |
| 923 · Fontana, CA area | CA | Q4 2006 | -53.8% | 14.2 |
Slowest recoveries by 3-digit ZIP region
| 3-digit ZIP region | State | Peak | Peak to low | Years to regain peak |
|---|---|---|---|---|
| 485 · Flint, MI area | MI | Q3 2005 | -46.3% | 15.8 |
| 068 · Norwalk, CT area | CT | Q1 2006 | -20.8% | 15.5 |
| 436 · Toledo, OH area | OH | Q3 2005 | -29.9% | 15.5 |
| 939 · Salinas, CA area | CA | Q1 2006 | -55.1% | 15.5 |
| 225 · Tappahannock, VA area | VA | Q2 2006 | -31.7% | 15.2 |
| 489 · Lansing, MI area | MI | Q3 2005 | -35.3% | 15.2 |
| 607 · Niles, IL area | IL | Q1 2007 | -39.0% | 15.2 |
| 933 · Bakersfield, CA area | CA | Q3 2006 | -53.8% | 15.2 |
| 952 · Stockton, CA area | CA | Q1 2006 | -59.9% | 15.2 |
| 953 · Modesto, CA area | CA | Q1 2006 | -59.0% | 15.2 |
| 069 · Stamford, CT area | CT | Q1 2007 | -23.0% | 15 |
| 085 · Princeton, NJ area | NJ | Q1 2006 | -19.5% | 15 |
| 105 · Mount Vernon, NY area | NY | Q1 2006 | -21.1% | 15 |
| 201 · Leesburg, VA area | VA | Q1 2006 | -30.9% | 15 |
| 226 · Winchester, VA area | VA | Q2 2006 | -33.9% | 15 |
Yes, home prices can fall
Home prices usually rise over long periods, but they do not rise every year. The clearest modern example is the housing bust that followed the mid-2000s boom, when the national index fell for several years in a row and many regions took a decade or more to return to their old highs.
The tables on this page measure that episode directly from FHFA HPI® data: each area's highest index value between 2004 and 2009, its lowest point afterward, the size of the drop, and the first quarter its index climbed back to the old peak.
Why some places fell much further than others
The deepest declines were concentrated where prices had risen fastest during the boom, where new construction had added a large supply of homes, and where buyers relied heavily on loose credit. When credit tightened and foreclosures rose, those markets had the most room to fall.
Regions with steadier boom-era growth, less speculative building, or stable local employment often saw only modest declines, and a few saw almost none. That is why national averages understate the risk in some places and overstate it in others.
What recovery time tells you
Recovery time is the gap between an area's peak and the first quarter its index regained that level. For a homeowner who bought near a peak, it is roughly how long the regional average would have kept them under water before inflation, selling costs, or loan paydown are considered.
Nominal recovery is not the same as real recovery. An index that regains its old high after ten years has still lost ground to inflation over that decade. The companion guide on home prices versus inflation shows how each area has done after adjusting for consumer prices.
How to use this history
Past declines do not predict future ones, but they are a useful stress test. If your region fell sharply last time, a household with little equity, a short expected holding period, or a variable-rate loan may want a larger cushion. Each ZIP region, state, and metro page on this site shows its own boom, bust, and recovery figures.
Frequently asked questions
- Do home prices ever go down?
- Yes. FHFA HPI® data shows the national index fell for several years after its mid-2000s peak, and some states and 3-digit ZIP regions fell much further than the national average before recovering.
- How long did it take home prices to recover after the crash?
- It varied widely. The table on this page lists, for the U.S. and every state, how many years passed between the 2000s peak and the first quarter the index regained it. Region pages show the same figure for each 3-digit ZIP region and metro area.
- Is a regional recovery the same as my home recovering?
- No. A regional index measures average price movement. An individual home can recover sooner or later depending on its condition, location within the region, and improvements.