PriceDNA Research · County downturns
Home prices hit bottom. Rent held up.
We followed home prices and rents through each US county's hardest housing downturn on record. Prices fell, and for 9 in 10 Americans, rent ended higher.
- 9 in 10Americans live in a county where rent was higher at the bottom of the downturn than at its start: at least 90.5%, counting the 5% whose county has no HUD rent that far back as not higher.After inflation: 58%
- −20.6%typical fall in home prices, from the peak to the bottomAfter inflation: −29.9%
- +14.1%typical change in rent over those same yearsAfter inflation: +3.0%
- 12 yearstypical time from the peak until prices were back at it
"Typical" counts people, not counties; what typical means shows why. Figures are in dollars unless they say after inflation.
In short
Home prices fell and took years to come back, while rent ended higher for most Americans. After inflation, home prices lost 30% while rent roughly held its value. In dollars, rent grew more slowly during the downturn than in a county's other years, 2.7% a year against 3.6%, but most of that gap is lower inflation in those years: after inflation, it grew 0.6% a year against 0.7%. In dollars, rent ended lower for 5% of Americans with a rent figure. After inflation it fell more than 5% for 21%, and more than 10% for 7%.
In dollars or after inflation?
We lead with dollars because homes are bought and loans are paid in dollars: a fixed-rate mortgage payment stays the same, so a rent in dollars is what it is weighed against. After inflation shows how those changes compared with everyday costs.
Example: Clark County, Nevada, 2006 to 2011. In dollars, home prices fell 60.2% and rent rose 23.9%. Prices in general rose 11.6% over those years, so to take inflation out, divide by 1.116. Rent: a 23.9% rise means rent ended at 1.239 times where it started. 1.239 ÷ 1.116 = 1.110, so 1.110 − 1 = 0.110: a rise of 11.0% after inflation.
Home prices: a 60.2% fall leaves 0.398 of the starting price. 0.398 ÷ 1.116 = 0.357, so 1 − 0.357 = 0.643: a fall of 64.3% after inflation.
How far prices fell in each county's hardest downturn
Most counties fell between 5% and 20% (1,831 of 3,112). About one in ten fell 30% or more (324 counties), most of them in the 2006 to 2012 housing crisis. The chart counts each county once, in dollars.
The numbers behind this chart
| Price fall | Counties |
|---|---|
| Under 5% | 415 |
| 5 to 10% | 742 |
| 10 to 15% | 682 |
| 15 to 20% | 407 |
| 20 to 30% | 542 |
| 30 to 40% | 194 |
| 40% or more | 130 |
The ten deepest falls
These are the extremes, not a sample. All ten are in California, Florida or Nevada. Every one has since recovered, and rent ended higher in every one.
| County | Downturn | Prices fell | Rent change | Recovered |
|---|---|---|---|---|
| Merced County, CA | 2006 to 2011 | −64.3% | +29.0% | 2022 |
| Lyon County, NV | 2006 to 2012 | −60.8% | +5.7% | 2019 |
| Stanislaus County, CA | 2006 to 2011 | −60.4% | +23.3% | 2021 |
| Clark County (Henderson, Las Vegas, North Las Vegas), NV | 2006 to 2011 | −60.2% | +23.9% | 2021 |
| San Joaquin County (Stockton), CA | 2006 to 2011 | −59.4% | +9.0% | 2021 |
| Nye County, NV | 2007 to 2012 | −59.1% | +19.9% | 2021 |
| St. Lucie County, FL | 2006 to 2012 | −57.4% | +32.6% | 2021 |
| Yuba County, CA | 2006 to 2011 | −56.1% | +29.0% | 2021 |
| Lee County, FL | 2006 to 2011 | −56.1% | +36.8% | 2021 |
| Solano County, CA | 2006 to 2012 | −56.0% | +25.0% | 2021 |
Find your county
Search any of the 3,112 counties. Until you search, the table lists the 121 counties where PriceDNA covers a city, each linking to that market. The download has every county, with the after-inflation figures.
| County | State | Years | Prices fell | Rent change | Back at peak |
|---|---|---|---|---|---|
| Anchorage Municipality (Anchorage) | AK | 1984 to 1989 | −25.3% | −13.6% | 1997 |
| Fairbanks North Star Borough (Fairbanks) | AK | 1984 to 1990 | −31.4% | −19.6% | 1997 |
| Madison County (Huntsville) | AL | 2008 to 2014 | −6.8% | +15.4% | 2018 |
| Mobile County (Mobile) | AL | 2008 to 2013 | −19.8% | +21.3% | 2020 |
| Pulaski County (Little Rock) | AR | 2007 to 2011 | −3.4% | +16.8% | 2016 |
| Washington County (Fayetteville) | AR | 2007 to 2011 | −19.2% | +10.2% | 2017 |
| Maricopa County (Chandler, Gilbert, Glendale, Mesa, Phoenix) | AZ | 2006 to 2011 | −50.1% | +21.6% | 2019 |
| Pima County (Tucson) | AZ | 2006 to 2012 | −37.9% | +15.3% | 2021 |
| Alameda County (Oakland) | CA | 2006 to 2011 | −33.4% | +12.5% | 2016 |
| Fresno County (Fresno) | CA | 2006 to 2012 | −48.2% | +18.1% | 2021 |
| Kern County (Bakersfield) | CA | 2006 to 2011 | −51.2% | +26.4% | 2022 |
| Los Angeles County (Long Beach, Los Angeles) | CA | 2006 to 2012 | −35.3% | +21.7% | 2018 |
| Orange County (Anaheim, Irvine, Santa Ana) | CA | 2006 to 2011 | −32.6% | +13.8% | 2018 |
| Riverside County (Riverside) | CA | 2006 to 2011 | −51.3% | +25.6% | 2021 |
| Sacramento County (Sacramento) | CA | 2006 to 2011 | −49.4% | +9.5% | 2020 |
| San Diego County (Chula Vista, San Diego) | CA | 2006 to 2011 | −34.7% | +32.0% | 2018 |
| San Francisco County (San Francisco) | CA | 2006 to 2011 | −19.8% | +19.3% | 2014 |
| San Joaquin County (Stockton) | CA | 2006 to 2011 | −59.4% | +9.0% | 2021 |
| Santa Clara County (San Jose) | CA | 2006 to 2011 | −25.4% | +33.7% | 2015 |
| Arapahoe County (Aurora) | CO | 2006 to 2011 | −12.6% | +13.3% | 2014 |
| Denver County (Denver) | CO | 1986 to 1989 | −5.6% | +1.4% | 1991 |
| El Paso County (Colorado Springs) | CO | 2007 to 2012 | −11.1% | −3.7% | 2015 |
| Greater Bridgeport Planning Region (Bridgeport) | CT | 2006 to 2013 | −25.4% | +27.3% | 2022 |
| Western Connecticut Planning Region (Stamford) | CT | 2006 to 2013 | −22.5% | +15.2% | 2022 |
| District of Columbia (Washington) | DC | 2007 to 2010 | −11.0% | +16.2% | 2014 |
| Kent County (Dover) | DE | 2007 to 2012 | −23.7% | +13.3% | 2021 |
| New Castle County (Wilmington) | DE | 2007 to 2012 | −19.7% | +16.5% | 2021 |
| Duval County (Jacksonville) | FL | 2007 to 2012 | −37.7% | +7.1% | 2019 |
| Hillsborough County (Tampa) | FL | 2006 to 2012 | −39.6% | +18.0% | 2018 |
| Miami-Dade County (Miami) | FL | 2007 to 2011 | −46.6% | +16.3% | 2020 |
| Orange County (Orlando) | FL | 2006 to 2012 | −46.5% | +19.7% | 2020 |
| Pinellas County (St. Petersburg) | FL | 2006 to 2011 | −41.3% | +22.0% | 2018 |
| Fulton County (Atlanta) | GA | 2007 to 2012 | −20.7% | +8.1% | 2016 |
| Muscogee County (Columbus) | GA | 2007 to 2014 | −17.9% | +23.7% | 2021 |
| Honolulu County (East Honolulu, Urban Honolulu) | HI | 1994 to 1999 | −15.5% | −19.3% | 2003 |
| Linn County (Cedar Rapids) | IA | 2008 to 2011 | −1.4% | +5.4% | 2014 |
| Polk County (Des Moines) | IA | 2007 to 2012 | −6.9% | +6.1% | 2015 |
| Ada County (Boise City, Meridian) | ID | 2007 to 2011 | −37.3% | +1.0% | 2017 |
| Cook County (Chicago) | IL | 2007 to 2012 | −31.8% | +2.5% | 2022 |
| Kane County (Aurora) | IL | 2007 to 2012 | −30.8% | +2.5% | 2022 |
| Allen County (Fort Wayne) | IN | 2007 to 2012 | −5.5% | +3.9% | 2015 |
| Marion County (Indianapolis) | IN | 2007 to 2012 | −8.4% | +7.8% | 2015 |
| Johnson County (Overland Park) | KS | 2007 to 2012 | −8.4% | +5.6% | 2015 |
| Sedgwick County (Wichita) | KS | 2009 to 2012 | −4.2% | +1.7% | 2015 |
| Fayette County (Lexington) | KY | 2008 to 2012 | −3.7% | −3.1% | 2015 |
| Jefferson County (Louisville) | KY | 2008 to 2012 | −5.1% | +5.3% | 2015 |
| East Baton Rouge Parish (Baton Rouge) | LA | 1984 to 1989 | −15.5% | +22.5% | 1994 |
| Orleans Parish (New Orleans) | LA | 1984 to 1991 | −19.4% | +39.9% | 1996 |
| Suffolk County (Boston) | MA | 1989 to 1994 | −17.8% | −0.9% | 1998 |
| Worcester County (Worcester) | MA | 2006 to 2012 | −23.9% | +3.0% | 2020 |
| Baltimore city (Baltimore) | MD | 2007 to 2012 | −23.1% | +30.8% | 2021 |
| Howard County (Columbia) | MD | 2006 to 2012 | −18.2% | +29.6% | 2021 |
| Androscoggin County (Lewiston) | ME | 2007 to 2012 | −17.4% | +22.0% | 2019 |
| Cumberland County (Portland) | ME | 2007 to 2012 | −12.6% | +3.6% | 2017 |
| Kent County (Grand Rapids) | MI | 2005 to 2012 | −21.0% | +13.1% | 2016 |
| Wayne County (Detroit) | MI | 2005 to 2011 | −40.6% | +0.5% | 2021 |
| Hennepin County (Minneapolis) | MN | 2006 to 2012 | −22.6% | +5.7% | 2017 |
| Ramsey County (St. Paul) | MN | 2006 to 2012 | −26.4% | +5.7% | 2018 |
| Jackson County (Kansas City) | MO | 2007 to 2012 | −15.0% | +5.6% | 2017 |
| St. Louis city (St. Louis) | MO | 2007 to 2012 | −14.7% | +18.2% | 2017 |
| Harrison County (Gulfport) | MS | 2007 to 2014 | −24.2% | +29.4% | 2021 |
| Hinds County (Jackson) | MS | 2007 to 2013 | −8.9% | +27.0% | 2020 |
| Missoula County (Missoula) | MT | 2008 to 2011 | −10.7% | +9.5% | 2016 |
| Yellowstone County (Billings) | MT | 1985 to 1987 | −13.8% | +11.7% | 1992 |
| Durham County (Durham) | NC | 2008 to 2012 | −6.0% | −2.1% | 2014 |
| Forsyth County (Winston-Salem) | NC | 2007 to 2014 | −9.0% | +8.3% | 2017 |
| Guilford County (Greensboro) | NC | 2007 to 2012 | −10.7% | −7.4% | 2017 |
| Mecklenburg County (Charlotte) | NC | 2008 to 2012 | −17.1% | +6.9% | 2016 |
| Wake County (Raleigh) | NC | 2008 to 2012 | −10.0% | +6.5% | 2015 |
| Burleigh County (Bismarck) | ND | 1984 to 1988 | −7.4% | +17.5% | 1992 |
| Cass County (Fargo) | ND | 1979 to 1982 | −15.6% | No data | 1983 |
| Douglas County (Omaha) | NE | 2007 to 2012 | −5.1% | +10.1% | 2015 |
| Lancaster County (Lincoln) | NE | 2007 to 2010 | −2.9% | +6.2% | 2013 |
| Hillsborough County (Manchester, Nashua) | NH | 2006 to 2012 | −22.5% | +3.4% | 2019 |
| Essex County (Newark) | NJ | 2007 to 2012 | −19.8% | +21.3% | 2020 |
| Hudson County (Jersey City) | NJ | 2007 to 2012 | −30.3% | +9.7% | 2018 |
| Bernalillo County (Albuquerque) | NM | 2007 to 2012 | −17.2% | −6.0% | 2019 |
| Doña Ana County (Las Cruces) | NM | 2007 to 2014 | −20.5% | +41.3% | 2021 |
| Clark County (Henderson, Las Vegas, North Las Vegas) | NV | 2006 to 2011 | −60.2% | +23.9% | 2021 |
| Washoe County (Reno) | NV | 2006 to 2012 | −53.7% | +5.7% | 2019 |
| Erie County (Buffalo) | NY | 2007 to 2012 | −12.8% | +16.7% | 2018 |
| Kings County (New York) | NY | 1989 to 1993 | −7.2% | +20.3% | 1998 |
| Cuyahoga County (Cleveland) | OH | 2005 to 2012 | −21.7% | +3.4% | 2019 |
| Franklin County (Columbus) | OH | 2006 to 2012 | −11.3% | +20.6% | 2015 |
| Hamilton County (Cincinnati) | OH | 2006 to 2013 | −13.0% | +13.0% | 2017 |
| Lucas County (Toledo) | OH | 2005 to 2013 | −25.9% | +19.6% | 2021 |
| Oklahoma County (Oklahoma City) | OK | 1983 to 1988 | −27.0% | +9.0% | 1999 |
| Tulsa County (Tulsa) | OK | 1983 to 1988 | −15.2% | +25.7% | 1996 |
| Lane County (Eugene) | OR | 2007 to 2012 | −23.7% | +9.7% | 2017 |
| Multnomah County (Portland) | OR | 2007 to 2011 | −20.2% | +22.8% | 2015 |
| Allegheny County (Pittsburgh) | PA | 2007 to 2012 | −8.1% | −7.4% | 2017 |
| Philadelphia County (Philadelphia) | PA | 2007 to 2012 | −8.7% | +16.5% | 2016 |
| Providence County (Cranston, Providence) | RI | 2006 to 2013 | −32.1% | −3.6% | 2021 |
| Charleston County (Charleston) | SC | 2007 to 2012 | −21.6% | +26.7% | 2016 |
| Richland County (Columbia) | SC | 2008 to 2013 | −12.4% | +10.5% | 2018 |
| Minnehaha County (Sioux Falls) | SD | 1982 to 1983 | −16.3% | No data | 1989 |
| Pennington County (Rapid City) | SD | 1980 to 1983 | −16.9% | No data | 1985 |
| Davidson County (Nashville) | TN | 2008 to 2011 | −7.8% | +13.8% | 2014 |
| Shelby County (Memphis) | TN | 2007 to 2012 | −15.7% | +8.3% | 2017 |
| Bexar County (San Antonio) | TX | 1984 to 1990 | −20.6% | +24.2% | 1999 |
| Collin County (Plano) | TX | 1986 to 1989 | −10.8% | +2.7% | 1998 |
| Dallas County (Dallas, Irving) | TX | 1986 to 1990 | −14.5% | +28.5% | 1998 |
| El Paso County (El Paso) | TX | 2008 to 2012 | −7.6% | +17.5% | 2018 |
| Harris County (Houston) | TX | 1982 to 1988 | −22.1% | No data | 1998 |
| Lubbock County (Lubbock) | TX | 1986 to 1988 | −3.7% | +5.8% | 1992 |
| Nueces County (Corpus Christi) | TX | 1986 to 1988 | −12.2% | +5.8% | 1994 |
| Tarrant County (Arlington, Fort Worth) | TX | 1986 to 1989 | −10.1% | +2.7% | 1997 |
| Travis County (Austin) | TX | 1985 to 1990 | −24.1% | +13.6% | 1994 |
| Webb County (Laredo) | TX | 1982 to 1985 | −20.0% | No data | 1992 |
| Salt Lake County (Salt Lake City, West Valley City) | UT | 2007 to 2011 | −20.9% | +15.7% | 2016 |
| Chesapeake city (Chesapeake) | VA | 2007 to 2012 | −20.5% | +26.1% | 2021 |
| Virginia Beach city (Virginia Beach) | VA | 2007 to 2012 | −18.7% | +26.1% | 2021 |
| Chittenden County (Burlington, South Burlington) | VT | 2007 to 2010 | −3.3% | +13.5% | 2014 |
| King County (Seattle) | WA | 2007 to 2012 | −25.8% | +28.6% | 2016 |
| Spokane County (Spokane) | WA | 2008 to 2012 | −19.2% | +12.0% | 2017 |
| Dane County (Madison) | WI | 2007 to 2012 | −8.1% | +9.7% | 2016 |
| Milwaukee County (Milwaukee) | WI | 2007 to 2013 | −21.2% | +14.0% | 2019 |
| Cabell County (Huntington) | WV | 1980 to 1982 | −33.7% | No data | 1995 |
| Kanawha County (Charleston) | WV | 1981 to 1982 | −17.7% | No data | 1986 |
| Laramie County (Cheyenne) | WY | 1986 to 1989 | −3.2% | +12.5% | 1991 |
| Natrona County (Casper) | WY | 1982 to 1987 | −45.6% | No data | 1998 |
Reading the numbers
What "typical" means here
Every county keeps its own row in our table, and the rankings are a plain sort. Only the headline figures need a choice: typical of what? Counting each county once describes the middle county. Counting each person once describes where the middle American lives. These differ a lot, because most US counties are small: half of all Americans live in just 145 of the 3,112.
Example 1: five real counties
We picked these five from the study because they show the difference clearly.
| County | Prices fell | People |
|---|---|---|
| Wichita County, KS | −2.7% | 2,091 |
| Bowman County, ND | −3.2% | 2,906 |
| Hinsdale County, CO | −5.7% | 1,005 |
| Los Angeles County, CA | −35.3% | 9,808,667 |
| Maricopa County, AZ | −50.1% | 4,559,748 |
Counting counties
−5.7%
Pick the middle county of the five: Hinsdale. By this count, the middle fall was 5.7%.
But only 6,002 of these 14.4 million people live in the three counties that fell 5.7% or less.
Counting people
−35.3%
Line up all 14.4 million people by how far prices fell in their county, and find the person in the middle. That person lives in Los Angeles County.
Most of these people live where prices fell 35% or more. That is the view we report.
Across all 3,112 counties, the middle county fell 12.3%. The middle American's county fell 20.6%. Small counties tended to fall less: 11.2% for the middle county under 50,000 people, 21.4% for the middle county over 500,000.
Example 2: one rent area, counted many times
HUD sets one Fair Market Rent for each rent area, often a whole metro. Counties in the same area whose downturns ran the same years get the same rent change. In Atlanta's area, 17 counties fell from 2007 to 2012, so they share one rent change of +8.1%. Clayton and Henry counties, in the same area, started falling earlier and show +1.0% and +10.4%. Phoenix's rent area has two counties, Maricopa and Pinal, falling from 2006 to 2011, both +21.6%.
| Rent area | People | Rent change | Counted by county | Counted by people |
|---|---|---|---|---|
| Atlanta, 17 counties | 5.2 million | +8.1% | 17 votes | 5.2 million |
| Phoenix, 2 counties | 5.0 million | +21.6% | 2 votes | 5.0 million |
Counted by county, Atlanta's one rent would weigh about 8 times as much as Phoenix's, only because its area is cut into more counties. Counted by people, each resident counts once and the two weigh about the same. Across every county with a rent figure, the middle county's rent rose 11.2%; the middle American's rose 14.1%.
How we did it
- Home prices
- The FHFA House Price Index, yearly, for each county.
- The downturn
- Each county's hardest on record: the one that fell furthest behind the county's usual growth, adding up how far prices fell and how long they took to come back.
- Rent
- HUD's Fair Market Rent for a 2-bedroom home, as HUD published it, from the year prices peaked to the year they hit bottom.
- Typical
- The middle American, counting each county's people (US Census Bureau).
- Inflation
- Figures are in dollars. After inflation uses the Bureau of Labor Statistics' Consumer Price Index for all items.
County data of October 13, 2026.
Use the data
All 3,112 counties, in dollars and after inflation, free to reuse with a link to this page (CC BY 4.0).
Download the dataCite this study
PriceDNA, “Home prices hit bottom. Rent held up. Each US county's hardest housing downturn,” October 2026. https://www.pricedna.co/research/county-downturns/
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Full method and checks
- Price index
- FHFA's index follows the prices of the same homes each time they sell or are refinanced, so it measures how much prices changed, not what a home cost. A county uses its own index when its record starts by 2006, so it covers the housing crisis, and shows a downturn of at least 4 years. Otherwise it uses its metro area's index (37 counties) or its state's (462). These 499 counties are home to 2% of Americans; the largest is Allegheny County, Pennsylvania, which uses Pennsylvania's. FHFA publishes metro and state indexes by quarter; we average each year's four quarters.
- Not in the study
- 32 counties in South Dakota: neither their own record, their metro's nor their state's shows a downturn lasting 4 years. Puerto Rico and the US territories are not included.
- The downturn
- A period when prices fell below an earlier peak and stayed below it for at least 4 years. Shorter dips are left out, because thin early data swings up and down within a year or two. A downturn still under way counts however short it is so far: for 60 counties, home to 0.2% of Americans, the hardest downturn began in 2021 or later and hasn't ended.
- The hardest downturn
- For each downturn we follow prices for 10 years from the peak and compare each year's price with where it would have been at the county's usual pace, its average yearly growth across its whole record. For this ranking, we assume prices grow at the usual pace once they are back at the peak, or from their latest level where the record ends sooner, so the years lost still count. Adding up the yearly gaps gives the downturn's shortfall, and the hardest downturn is the one with the largest. Example: in Will County, Illinois, prices fell 28.9% from 1980 to 1982 and were back by 1986. They fell 28.7% from 2007 to 2012 and weren't back until 2021. The second's shortfall was nearly twice as large, so it is Will County's hardest downturn, though the first fell slightly further. This is the same downturn the PriceDNA Report™ replays.
- The fall
- From the year prices peaked to the lowest year that followed.
- Recovered
- The first year prices were back at the peak, in dollars. The typical time is 12 years from the peak, or 6 from the bottom. Counting the 60 unfinished downturns as not yet recovered still gives 12.
- Rent
- HUD's estimate of the 40th percentile of rents paid, utilities included, by people who recently moved into a 2-bedroom home. It is a benchmark for a modest rental, not what every renter pays. HUD's fiscal year 2008 rent is paired with the 2008 price. HUD published no rents for 1984; we use the midpoint growth between 1983 and 1985.
- How HUD builds rents
- Each year's rent starts from Census survey rents collected over earlier years, which HUD moves forward with inflation in rents; today the newest survey year is 3 years before the rent year (HUD, 2026 method). HUD adopted a 2000 Census base in 2005, began using the Census Bureau's yearly survey to update rents in 2008 (HUD, 2008 notice), and moved to a five-year survey base in 2012 (HUD, 2012 notice). The Census survey check below compares HUD's rents with the rents people actually paid.
- Rent against its usual pace
- A county's yearly rent growth during its downturn, against its average yearly rent growth in all its other years from 1983. Earlier decades had higher inflation, so we also compare the two after inflation, using only years the Consumer Price Index covers.
- Missing rent
- 153 counties, home to 5% of Americans, have no rent figure, because HUD's rent record for the county starts after its downturn began. Most started before 1983, when HUD's record begins, such as Harris County, Texas, whose hardest downturn began in 1982. The rest are Alaska areas whose HUD record starts later, after they were redrawn. The rent findings cover the other 2,959 counties.
- Population
- Each county's people, from the US Census Bureau's American Community Survey 2020 to 2024 (table B01003). It shows where people live now, not where they lived during each downturn, and is used only to count people. Shares of all Americans count everyone in the 50 states and DC, including the counties left out of the study.
- Inflation
- The Bureau of Labor Statistics' Consumer Price Index for all items, US city average, yearly average (series CUUR0000SA0).
HUD's method changes
HUD documented changes to how it sets Fair Market Rents in 24 of the 45 years from 1983 to 2027, from rebuilding rents on new Census data to small changes in how it updates them. We use HUD's rents as published. Choosing which changes to correct would mean judging HUD's methods year by year, and correcting all 24 would replace most local rent data with a national average.
If, in the years of HUD's 9 major changes (new Census base data, the switch to the 40th percentile, and new metro areas), we replaced every county's rent change with the national change in rent from the Consumer Price Index, the typical rent change would be +17.6% instead of +14.1%, and 93.5% of Americans instead of 90.5% would live where rent ended higher. The main finding holds with either series. Replacing those years also removes real local movement, so the difference is not HUD's methods alone.
See the 24 years and HUD's notices
| Year | What HUD changed | Source |
|---|---|---|
| 1983 | Moved the standard from the 50th to the 45th percentile of recent movers' rents (described in HUD's 1986 notice; we did not find the 1983 notice itself) | HUD |
| 1986 ● | Rebuilt rents on the 1980 Census | HUD |
| 1994 ● | Rebuilt rents on the 1990 Census and adopted new metro areas | HUD |
| 1995 ● | Moved the standard from the 45th to the 40th percentile | HUD |
| 1996 | Set a statewide minimum rent for low-rent rural areas | HUD |
| 2001 | Raised 39 metro areas to the 50th percentile | HUD |
| 2002 | Made a one-time adjustment for the natural gas price spike | HUD |
| 2005 ● | Rebuilt rents on the 2000 Census | HUD |
| 2006 ● | Adopted new metro areas, split some into separate rent areas, and brought back the state minimum | HUD |
| 2007 | Split more metros into separate rent areas | HUD |
| 2008 | Updated rents with the Census Bureau's new yearly survey for the first time | HUD |
| 2009 | Changed how that survey's updates were applied in some areas | HUD |
| 2010 | Added 3-year survey data where yearly data was thin | HUD |
| 2012 ● | Rebuilt rents on the Census Bureau's 5-year survey | HUD |
| 2013 | Changed how rents are moved forward to the rent year | HUD |
| 2014 | Changed Puerto Rico's data sources | HUD |
| 2016 ● | Switched to a forecast to move rents forward, and adopted new metro areas | HUD |
| 2018 | Limited any yearly fall to 10% | HUD |
| 2020 | Used local and regional forecasts instead of one national one; ended the 50th percentile areas | HUD |
| 2022 ● | Adopted new metro areas | HUD |
| 2023 | Added private-sector rent data to the yearly update | HUD |
| 2024 | Counted recent movers as those who moved in the last 11 months, not 23 | HUD |
| 2026 ● | Adopted new metro areas; Connecticut moved to planning regions | HUD |
| 2027 | Changed how utility costs are updated | HUD |
We found a documented change in 24 years. For the other years we found no notice of a change, except 1985 and 1989 to 1993, whose notices survive only as scans we could not read, so a change in those years is possible. That window falls outside the housing crisis. If you know of a change we missed, tell us and we'll add it and rerun the study.
Does the result change under other choices?
We reran the rent findings with each choice a reasonable person could make differently. Among Americans with a rent figure, 95% to 99% live where rent ended higher in every row. The typical rent change runs from +12.1% to +17.6%, and how HUD's method changes are treated moves it the most.
| Choice | Everyone in the counties included | Those with a rent figure | Typical rent change |
|---|---|---|---|
| As published | 90.5% | 95.2% | +14.1% |
| HUD's 9 major change years replaced with the national rent change | 93.5% | 98.4% | +17.6% |
| All 24 HUD change years replaced with the national rent change | 94.1% | 99.1% | +12.1% |
| Deepest fall instead of hardest downturn | 87.7% | 95.1% | +14.3% |
| Only counties with their own price index | 91.0% | 95.6% | +14.4% |
| Only downturns that have ended | 90.5% | 95.2% | +14.3% |
| Population from the 2010 Census | 90.4% | 95.0% | +14.0% |
"Replaced" means every county's rent change in those years is swapped for the national change in rent (Consumer Price Index for rent of primary residence, US city average).
"Deepest fall" picks earlier downturns in some counties, more of which began before HUD's rent record, so fewer Americans have a rent figure in that row.
A check with different data
The Census Bureau's yearly survey records the rent renters actually pay. It publishes yearly estimates for counties of 65,000 people or more, from 2005, except for 2020; counties whose downturn starts or ends in 2020 are left out. For the 637 of those counties whose downturn began in 2005 or later, home to 70% of Americans, rent was higher at the bottom for 97.0% of people, with a typical rise of 11.9%. HUD's rents give 96.1% for the same counties. The survey's rent is the middle rent of all renters, not only recent movers, so it moves more slowly than the rent a new tenant pays, but it does not carry HUD's survey lag. The agreement shows the finding does not rest on HUD's method.
Prices don't depend on these rent choices. The typical fall is 20.6% with today's population and 20.2% with the 2010 Census.
History, not a forecast: a past downturn does not say what a county will do next. PriceDNA is for education and information only. It is not an appraisal or investment advice.