Four Years Into the HIgh-Rate Eara How the Housing Market Changed and Why Prices Didn't Reset

 

 

 

 

• It’s been four years since mortgage rates began to climb—what’s happened since? 
• The housing market has seen a sharp contraction in sales and mobility, but there has been no broad price correction, even as inventory more than doubled nationwide.

• Why did the housing market slow so sharply without a major price reset?
• Higher rates constrained new listings through the lock-in effect, especially in the Northeast and Midwest. Meanwhile, inventory growth in parts of the South and West came largely from homes sitting longer rather than a sustained wave of fresh supply—with many sellers choosing to delist rather than cut prices.

• What needs to happen for the housing market to recover sustainably?
• In the short run, the path back requires a “balanced spring,” where a fresh wave of new listings and a decline in delistings provide enough inventory to absorb reignited buyer demand. Without this influx of supply, lower mortgage rates might simply trigger a surge in prices and erase the affordability gains buyers are counting on.

Introduction

January 2026 marks four years since mortgage rates began rising, setting off one of the most dramatic increases in modern history. Rates climbed from just over 3% at the end of 2021 to nearly 6% by mid-2022 as the Fed kicked off the first phase of its post-pandemic tightening cycle in March 2022, fundamentally reshaping the housing market. This rapid ascent marked the start of the post-pandemic housing cycle and set the stage for the lock-in effect, stark regional divides in inventory and house prices, and today’s widespread housing affordability crisis. Four years later marks a good time to assess how the housing market has adjusted to a higher rate regime, particularly in unforeseen ways. 

At the time, higher mortgage rates were widely expected to quickly cool demand and loosen a historically tight market, ultimately bringing prices down. It’s worth noting that Realtor.com® forecasts from that era generally anticipated more persistent home price growth. Today, it’s clear the shock did not produce the broad price correction many expected. Instead, the market adjusted along the quantity margin: Existing-home sales fell sharply and remain at their lowest level in 30 years; inventories at first further tightened before recovering, albeit gradually and unevenly; and still today, far fewer homeowning households are moving than in the pre-2022 period. 

The key question four years later is not whether higher rates slowed housing—they clearly did. Instead, why did the slowdown translate into so little price relief? And where will the market go from here?

 

Sales drop, prices prove resilient

The most striking effect of higher mortgage rates on housing demand has been the sharp decline in existing-home sales, which fell from a seasonally adjusted annual rate of 6.43 million in January 2022 to just 3.91 million in January 2026—a four-year drop of nearly 40%. In 2025, total annual sales were just 4.063 million, the lowest total since 1995.

That rate-driven contraction in demand showed up first in fewer transactions and then in rising inventory. Active listings nationwide have more than doubled since January 2022, up 142.1% over that period. Mortgage rates, which peaked at 7.79% in October 2023, have since eased to 6.01%. This marks the lowest level since September 2022, but it remains well above pre-2022 norms.

Meanwhile, despite the rising cost of financing and a surge in inventory, the national median list price has grown by 8.1%, while the price per square foot is up 11.5%. These long-term increases have significantly affected affordability even before considering the impact of higher mortgage rates. In other words, supply and demand have adjusted, just not to the degree that many expected.

 

	An Uneven Recovery: Changes From January 2022 to January 2026
	Active Listings, % Chg.	Median List Price, % Chg.	Median List PPSF, % Chg.	Median Days on the Market, Diff in Days	New Listings, % Chg.	Price-Reduced Share, Pct. Pts.
USA	142.1%	8.1%	11.5%	19	1.7%	8.2
Northeast	22.4%	15.3%	17.5%	2	-13.5%	2.8
Midwest	67.1%	22.0%	18.8%	11	-10.3%	4.2
South	213.7%	7.4%	12.1%	23	9.1%	9.6
West	180.0%	2.2%	3.8%	30	2.7%	10.6

The inventory recovery itself tells a story of divergence rather than normalization. In the West and South, active listings have nearly tripled since January 2022, rising 213.7% and 180%, respectively. In markets such as Dallas, Raleigh, Austin, Denver, Tampa, and Nashville, inventory has increased more than 350%—an extraordinary reversal from the extreme tightness of the COVID-19 pandemic era. Listings lingering on the market, as well as new construction in these markets, contributed to this extreme inventory recovery, according to our May 2025 monthly housing report. In contrast, the rebound has been far more muted in the Northeast and Midwest, where inventory is up just 22.4 and 67.1%, respectively. In fact, Chicago, Hartford, and New York City have fewer active listings today than they did four years ago—not coincidentally, these are three metros with very little new construction. 

Even in metros where inventory has exploded, price declines since 2022 have been rare and modest. Only 8 of the 50 largest markets have posted price-per-square-foot declines relative to January 2022. In 42 of the top 50 metros (and on average in all four major regions), prices remain higher than they were at the start of the rate shock.

 

 

Evolution of the High Mortgage Rate Housing Market

Change in: Active Listings vs. Median List Price Per Square Foot, Jan. 2022-Jan. 2026

USA

West

South

Midwest

Northeast

−100102030%−50050100150200250300350400450%USAUSAAustinAustinBaltimoreBaltimoreHartfordHartfordMemphisMemphisMiamiMiamiPittsburghPittsburghPortlandPortlandSan AntonioSan AntonioSan FranciscoSan FranciscoTampaTampaWashington, D.C.Washington, D.C.BostonBostonBuffaloBuffaloCharlotteCharlotteChicagoChicagoClevelandClevelandColumbusColumbusDallasDallasDenverDenverDetroitDetroitHoustonHoustonIndianapolisIndianapolisJacksonvilleJacksonvilleLas VegasLas VegasMilwaukeeMilwaukeeMinneapolisMinneapolisNashvilleNashvilleNew York CityNew York CityPhiladelphiaPhiladelphiaPhoenixPhoenixProvidenceProvidenceRaleighRaleighRichmondRichmondSan JoseSan JoseSeattleSeattleSouthSouth

Inv. Growth

Price Chg.

Chart: Jake Krimmel Source: Realtor.comGet the dataCreated with Datawrapper

 

There’s almost a cognitive dissonance to a market that looks far looser in terms of listings but not meaningfully cheaper in terms of price—let alone more affordable once higher rates are factored in. It is not that the laws of supply and demand have been suspended, but that they have played out more unevenly and more gradually than anticipated. Part of the answer lies in regional divergence, and another is that the market was coming off an exceptionally tight and historically unusual pandemic-era baseline.

But the deeper explanation is that this housing cycle—and in particular, the transition from a low interest rate, pandemic-era frenzy to a high-interest-rate demand freeze—introduced new frictions. The same forces that slowed activity (e.g., the lock-in effect) also limited the downward pressure on prices. Such frictions helped prevent a sharper price correction, but they also kept the market from fully clearing. Examining these unique market frictions is key to understanding why this cycle unfolded differently and where things are headed in the future. 

 

Why prices didn’t reset? Three structural frictions

If higher mortgage rates slowed demand and inventory more than doubled nationally, why did prices prove so resilient in so many places? In short, higher rates constrained the flow of new listings (the lock-in effect) and reshaped the composition of inventory growth (longer duration, not more listings). These conditions—lock-in effect, a slower market, rising home equity, plus the absence of economic reasons to force a move—enabled would-be sellers to withdraw rather than compromise on price (the surge in delistings). Together, these forces limited the downward pressure on prices in metros across the country. Put simply, many potential sellers are in a good current position with their low mortgage costs and they don’t have to move; in many cases, they are choosing to wait rather than accept a price that they deem too low. The result has been stagnant home sales near 30-year lows and roughly steady home prices.

 

The lock-in effect: Fewer sellers and necessity buyers

The lock-in effect remains one of the defining structural features of this cycle. A recent Realtor.com analysis of outstanding mortgages shows that a substantial majority of homeowners still hold rates well below today’s prevailing levels, with over 50% of borrowers holding rates below 4%. For many households, moving would mean replacing a historically low-cost mortgage with one nearly twice as expensive.

Nationally, new listings in January 2026 were up just 1.7% compared to January 2022—effectively flat over four years. In the Northeast, new listings were down 13.5% over that period; in the Midwest, they were down 10.3%. These are precisely the regions where inventory growth has been weakest, and where locked-in homeowners would face the steepest increases in costs were they to move. 

But when people drop out of the market due to the lock-in effect, which reduces both the supply and demand for homes, how does that put upward pressure on prices? Why doesn’t the effect just cancel out? 

Two key reasons. First, when housing markets are tight and seller-friendly (and they were historically tight before rates went up), the lock-in effect makes markets tighter. In a game of musical chairs, if you take one person and one chair away, the competition over what’s left actually gets more intense. Second, the lock-in effect removed a lot of discretionary buyers from the market, leaving a higher proportion of those moving or buying out of necessity. That naturally lends itself to buyers who, on the margin, have fewer outside options and are willing to pay a premium to get what they need.  

 

The long-duration effect: Rising time on market vs. new listings driving inventory growth

While active listings are up 142% nationally since January 2022, that headline figure masks an important compositional shift. On the whole, and especially recently, inventory has grown due to longer time on the market for existing listings rather than inflows of new listings. In 2021 and early 2022, new listings accounted for roughly 85% to 90% of active listings in a typical month nationwide. Homes moved quickly (59 days in January 2022 compared to 78 days in January 2026), and inventory turned over at an unusually rapid pace (well below the pre-pandemic January norm of 84 days). By January 2026, that ratio had fallen to just 36%.

	Jan. 2022	Jan. 2023	Jan. 2024	Jan. 2025	Jan. 2026
Ratio of New Listings to Active Listings	85.9%	46.5%	44.3%	39.4%	36.1%
Median Days on Market	59	72	69	73	78

This shift indicates that the rise in active inventory has been driven less by a steady stream of new sellers entering the market and more by homes remaining listed for longer periods. Sellers are patiently testing price levels and waiting for buyers, rather than pricing aggressively to move quickly. To be sure, longer time on the market does mean things are moving in a more buyer-friendly direction; it’s just that the slower the pace of the market, the slower the process of price adjustment. When supply builds through duration rather than volume, market prices adjust over a longer period, as it takes longer for buyers and sellers to get accurate price signals. It’s part and parcel of a market in sclerosis. When you don’t have as much turnover (i.e., low sales), there’s not as much opportunity for price discovery.

The delistings effect: A backstop for price declines 

A third dynamic further limiting price declines is the rise in delistings. Throughout 2025, delistings increased substantially, acting as a sort of “emergency exit” for sellers who would rather not face the reality of a shifting market. 

That denial has been a self-fulfilling prophecy, too, as taking the delisting off-ramp removes supply that might otherwise have contributed to downward price pressure. Across the past five Januaries, delistings have more than doubled as a share of active listings and quadrupled as a share of new listings.

	Delistings as a share of:
	Active Listings	New Listings
Jan. 2026	7.0%	32.0%
Jan. 2025	6.6%	24.3%
Jan. 2024	5.7%	19.2%
Jan. 2023	5.3%	17.8%
Jan. 2022	3.1%	8.4%

In many cases, delisting reflects not seller distress but seller privilege. Today’s homeowners sit on historically high levels of home equity and a strong majority have low fixed mortgage rates. That combination gives sellers flexibility and the luxury to list, delist, and repeat until they get their price. As a result, rather than clearing, the market has a tendency to stall out. In short, delistings blunt the buildup of active inventory and interrupt the feedback loop that typically accelerates price corrections, which can help to put a floor under further declines.

 

A correction through volume, not price

Taken together, these three frictions help resolve the central puzzle of the past four years. The lock-in effect limited the flow of new listings in key regions. Inventory growth reflected longer marketing times rather than a sustained surge of fresh sellers. And when faced with softer buyer demand—and buoyed by their own low rates and recent capital gains—many would-be sellers chose to delist rather than slash prices.

The shock to housing demand manifested primarily through volumes—not prices—because higher rates affected supply at every turn as well. That dynamic has kept affordability strained even as the market appears looser on the surface.

 

Conclusion: What a sustainable recovery looks like

The housing market experienced a sharp contraction in activity without a crash in prices—something akin to a “soft landing” in the monetary policy and macro space. So where does housing go from here? Ideally, a “smooth takeoff,” a return of sales and mobility—spurred by lower interest rates—without reigniting price pressures that would deepen affordability issues.

A smooth takeoff is not a given, but there is a plausible path forward. On their own, lower mortgage rates will boost demand and put upward pressure on prices. But they will also bring existing homeowners off the sidelines and their homes onto the market. When current owners choose to list and buy, they add to the supply side of the equation, even as they add demand. This dynamic is especially important in the tightest markets where inventory remains below pre-pandemic norms.

How will we know if that process is underway? The early signs will be stronger new-listing growth, firmer pending sales, and a decline in delistings. If supply expands alongside demand, the market can reactivate without reigniting price volatility that undoes the affordability gains from lower interest rates. A sustainable recovery depends on that balance.

 

Data appendix

Housing Overview of the 50 Largest Metros: Changes Since January 2022

	An Uneven Recovery: Changes From January 2022 to January 2026
Metro	Active Listings, % Chg.	Median List Price, % Chg.	Median List PPSF, % Chg.	Median Days on the Market, Diff in Days	New Listings, % Chg.	Price Reduced Share, Pct. Pts.
Atlanta-Sandy Springs-Roswell, GA	170.2%	2.6%	5.1%	19	-4.9%	10.7
Austin-Round Rock-San Marcos, TX	384.9%	-17.1%	-11.4%	45	22.3%	9.7
Baltimore-Columbia-Towson, MD	83.9%	18.4%	11.4%	4	-9.4%	4.4
Birmingham, AL	160.4%	9.5%	12.2%	13	13.5%	8.9
Boston-Cambridge-Newton, MA-NH	61.8%	5.8%	7.7%	7	-1.9%	5.3
Buffalo-Cheektowaga, NY	50.9%	21.0%	26.5%	-7	-14.2%	3.3
Charlotte-Concord-Gastonia, NC-SC	291.1%	3.9%	9.3%	39	15.8%	10.0
Chicago-Naperville-Elgin, IL-IN	-1.4%	9.4%	7.4%	1	-28.6%	3.4
Cincinnati, OH-KY-IN	95.2%	10.5%	17.3%	2	2.8%	5.1
Cleveland, OH	40.9%	41.2%	34.8%	6	-14.8%	6.0
Columbus, OH	131.9%	16.7%	14.6%	29	0.5%	8.5
Dallas-Fort Worth-Arlington, TX	365.4%	0.3%	2.8%	32	4.7%	12.0
Denver-Aurora-Centennial, CO	401.8%	-14.1%	-6.6%	48	40.2%	16.0
Detroit-Warren-Dearborn, MI	63.3%	14.6%	10.0%	11	-12.2%	3.7
Grand Rapids-Wyoming-Kentwood, MI	97.6%	22.8%	22.6%	15.5	-12.8%	4.7
Hartford-West Hartford-East Hartford, CT	-8.6%	18.1%	23.0%	-7	-38.9%	3.2
Houston-Pasadena-The Woodlands, TX	144.2%	-1.7%	0.5%	5	-0.1%	6.5
Indianapolis-Carmel-Greenwood, IN	191.0%	9.0%	21.5%	26	-2.5%	9.5
Jacksonville, FL	247.0%	0.0%	4.8%	34	14.1%	15.4
Kansas City, MO-KS	133.5%	4.1%	9.5%	3	10.1%	6.4
Las Vegas-Henderson-North Las Vegas, NV	132.2%	0.0%	7.8%	34	-12.5%	10.9
Los Angeles-Long Beach-Anaheim, CA	125.3%	11.4%	10.6%	22	-2.1%	7.1
Louisville/Jefferson County, KY-IN	117.2%	13.2%	15.1%	12	0.3%	6.0
Memphis, TN-MS-AR	298.9%	36.4%	17.3%	34	13.8%	12.6
Miami-Fort Lauderdale-West Palm Beach, FL	201.1%	1.0%	-0.3%	27	12.5%	11.2
Milwaukee-Waukesha, WI	4.7%	40.4%	34.0%	8	-11.4%	3.0
Minneapolis-St. Paul-Bloomington, MN-WI	50.0%	8.7%	5.2%	6	-9.2%	5.7
Nashville-Davidson–Murfreesboro–Franklin, TN	429.4%	15.9%	11.5%	45	35.0%	7.5
New York-Newark-Jersey City, NY-NJ	-0.8%	19.8%	19.2%	-3	-11.6%	1.3
Oklahoma City, OK	232.9%	1.7%	6.0%	15	-26.3%	10.5
Orlando-Kissimmee-Sanford, FL	343.0%	4.4%	7.8%	45	14.5%	14.9
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD	35.8%	16.7%	16.1%	3	-13.5%	3.9
Phoenix-Mesa-Chandler, AZ	307.8%	-2.0%	3.1%	38	13.9%	18.9
Pittsburgh, PA	52.2%	19.5%	17.3%	7	1.3%	1.9
Portland-Vancouver-Hillsboro, OR-WA	202.6%	4.5%	1.8%	28	-4.8%	10.6
Providence-Warwick, RI-MA	46.3%	22.2%	23.9%	15	-14.5%	4.7
Raleigh-Cary, NC	370.5%	3.4%	5.1%	41	33.0%	11.4
Richmond, VA	99.1%	16.9%	20.6%	-12	-14.3%	7.4
Riverside-San Bernardino-Ontario, CA	178.2%	7.3%	13.7%	30	-1.8%	10.4
Sacramento-Roseville-Folsom, CA	112.0%	-3.4%	-0.6%	25	-8.7%	7.7
St. Louis, MO-IL	66.8%	16.8%	14.2%	15	-10.3%	5.6
San Antonio-New Braunfels, TX	240.1%	-5.8%	-5.0%	32	10.0%	15.3
San Diego-Chula Vista-Carlsbad, CA	171.9%	6.0%	11.5%	17	-9.5%	9.3
San Francisco-Oakland-Fremont, CA	55.5%	-9.5%	-13.4%	18	-13.6%	4.7
San Jose-Sunnyvale-Santa Clara, CA	100.4%	-8.0%	-5.7%	1	7.9%	4.2
Seattle-Tacoma-Bellevue, WA	339.5%	6.6%	7.7%	39.5	9.0%	10.7
Tampa-St. Petersburg-Clearwater, FL	414.8%	3.8%	4.6%	45	20.7%	19.1
Tucson, AZ	186.6%	5.5%	12.2%	23	12.7%	13.2
Virginia Beach-Chesapeake-Norfolk, VA-NC	58.2%	27.4%	23.9%	17	3.9%	6.5
Washington-Arlington-Alexandria, DC-VA-MD-WV	97.2%	8.9%	-0.8%	10	-9.0%	4.8

Methodology

Realtor.com® housing data as of January 2026. Listings include the active inventory of existing single-family homes and condos/townhomes/row homes/co-ops for the given level of geography on Realtor.com; new construction is excluded unless listed on an MLS that provides listing data to Realtor.com. Realtor.com data history goes back to July 2016. The 50 largest U.S. metropolitan areas as defined by the Office of Management and Budget (OMB-202301) and Claritas 2025 estimates of household counts.

Beginning with our April 2025 report, we have transitioned to a revised national pending home sales data series that applies enhanced cleaning methods to improve consistency and accuracy over time. While the insights and commentary in this report reflect the new series, the downloadable data remains based on our legacy automated pipeline. As a result, there may be slight differences between the report figures and those in the national download file as we transition.

With the release of its January 2025 housing trends report, Realtor.com has restated data points for some previous months. As a result of these changes, some of the data released since January 2025 will not be directly comparable with previous data releases (files downloaded before January 2025) and Realtor.com economics research reports.

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