Existing Home Sales in the United States increased to 4100 Thousand in October from 4050 Thousand in September of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The U.S. housing inventory has declined notably over the past years, despite a slight increase in 2024. In January 2025, the number of single-family homes for sale in the United States stood at about *******, higher than the same period in the past two years. The figure reflects the number of active unique single-family home listings available for purchase in that month. This rise in inventory is a result of a sluggish housing market with declining home transactions.

Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Oct 2025 about active listing, listing, and USA.

Total Housing Inventory in the United States decreased to 1520 Thousands in October from 1530 Thousands in September of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

Graph and download economic data for Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

New Home Sales in the United States increased to 800 Thousand units in August from 664 Thousand units in July of 2025. This dataset provides the latest reported value for - United States New Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The average home in the U.S. sold for several percent below its asking price in December 2022, as a result of the housing market slowing. Just a few months before that, In the second quarter of 2022, the so-called sale-to-list price ratio went above ***. This reflected the high housing demand and the need of prospective home buyers to bid above the asking price. Housing demand - as measured in pending home sales - went up, as mortgage rates were historically low and plummeted once rates were increased.

The online residential home sale listings industry is experiencing significant changes in its dynamics because of the increased number of homes for sale. The growth in listings is because of various factors, including a climb in the number of homeowners choosing to sell, the easing of the mortgage rate lock-in effect, and economic concerns driving the sale of investment properties. These conditions and the shift from a seller's market towards a more balanced, or even a buyer's market, translate into increased traffic and engagement on home sale platforms. This presents an opportunity for these online platforms to enhance their user experience, refine search tools and offer data analytics to help buyers navigate the increased options. By the end of 2025, industry revenue has climbed at a CAGR of 3.0% and is expected to total $2.2 billion in 2025. In 2025, revenue is expected to strengthen by an estimated 4.2%. Despite enjoying growth, the industry faces challenges with the elevated mortgage rates reducing demand for home purchases, leading to a market freeze. Despite the gain in home listings, actual transaction volumes have remained subdued, creating a challenging environment for the online residential home sale listing platforms. To stay competitive, these platforms are pivoting to offer enhanced tools for price comparisons, real-time mortgage calculators and in-depth educational content to help buyers understand the increased cost of borrowing and also navigate the high inventory but low turnover market. Industry profit has climbed as revenue has outpaced wage growth through the end of 2025. Through the end of 2030, online platforms must position themselves for demographic shifts and changing consumer preferences. Gen Z and younger millennials, who are entering homebuying age, are demanding a more tech-driven, seamless and mobile-first experience. The industry will also continue to see online platforms transform into comprehensive, one-stop digital destinations offering integrated services for every stage of the housing journey. Embracing changes such as artificial intelligence and data analytics to enhance user experience, streamlining listings uploads and offering real-time communication between buyers, sellers, and agents will be crucial for future success. Platforms that offer user-friendly, one-stop experiences and are equipped to provide advanced, feature-rich mobile experiences are set to capture greater market share. Overall, industry revenue will gain at a CAGR of 3.3% through 2030 to total $2.6 billion.

View monthly updates and historical trends for US Existing Home Inventory. from United States. Source: National Association of Realtors. Track economic da…

Graph and download economic data for Monthly Supply of New Houses in the United States (MSACSR) from Jan 1963 to Aug 2025 about supplies, new, housing, and USA.

The coronavirus pandemic led to a marked increase in how many new construction homes made up single-family housing available for sale in the U.S. By early 2021, this was estimated to be between ** and ** percent - a significantly higher figure than before the pandemic. Likely this is caused by less Americans putting their homes up for sale during this economically uncertain period of time, as well as a general increase in U.S. homebuilding in the months after the first COVID-19 lockdowns.

• USA house price index and multiple associated macro-economic data from FRED.

• Contains monthly data from 1990-01-01 to 2025-01-01.

• The added column names are the series names on FRED : https://fred.stlouisfed.org/

• To create custom aggregates on any available FRED data you can follow : https://github.com/OfficialBhattacharya/Geographical-Home-Price-Ranker

1. Average Sales Price for New Houses Sold in the United States: https://fred.stlouisfed.org/series/ASPNHSUS

2. Average Sales Price of Houses Sold for the United States: https://fred.stlouisfed.org/series/ASPUS

3. New One Family Houses Sold: https://fred.stlouisfed.org/series/HSN1F

4. Monthly Supply of New Houses in the United States: https://fred.stlouisfed.org/series/MSACSR

5. Median Sales Price of Houses Sold for the United States: https://fred.stlouisfed.org/series/MSPUS

6. Homeownership Rate in the United States: https://fred.stlouisfed.org/series/RHORUSQ156N

7. Total Shipments of New Manufactured Homes: https://fred.stlouisfed.org/series/SHTSAUS

8. Unemployment Rate: https://fred.stlouisfed.org/series/UNRATE

9. Economic Policy Uncertainty Index for United States: https://fred.stlouisfed.org/series/USEPUINDXD

10. S&P CoreLogic Case-Shiller U.S. National Home Price Index: https://fred.stlouisfed.org/series/CSUSHPINSA

11. Vacant Housing Units Held Off the Market in the United States : https://fred.stlouisfed.org/series/EOCCUSEUSQ176N

12. Occupied Housing Units in the United States: https://fred.stlouisfed.org/series/EOCCUSQ176N

13. Vacant Housing Units Held Off the Market in the United States: https://fred.stlouisfed.org/series/EOFFMARUSQ176N

14. Vacant for Other Reasons in the United States: https://fred.stlouisfed.org/series/EOTHUSQ176N

15. Renter Occupied Housing Units in the United States: https://fred.stlouisfed.org/series/ERNTOCCUSQ176N

16. Vacant Housing Units Not Yet Occupied in the United States: https://fred.stlouisfed.org/series/ERNTSLDUSQ176N

17. Vacant Housing Units for Sale in the United States: https://fred.stlouisfed.org/series/ESALEUSQ176N

18. Total Housing Units in the United States: https://fred.stlouisfed.org/series/ETOTALUSQ176N

19. Median Days on Market in the United States: https://fred.stlouisfed.org/series/MEDDAYONMARUS

20. Median Listing Price per Square Feet in the United States: https://fred.stlouisfed.org/series/MEDLISPRIPERSQUFEEUS

Reference: https://www.zillow.com/research/zhvi-methodology/

Official Background

In setting out to create a new home price index, a major problem Zillow sought to overcome in existing indices was their inability to deal with the changing composition of properties sold in one time period versus another time period. Both a median sale price index and a repeat sales index are vulnerable to such biases (see the analysis here for an example of how influential the bias can be). For example, if expensive homes sell at a disproportionately higher rate than less expensive homes in one time period, a median sale price index will characterize this market as experiencing price appreciation relative to the prior period of time even if the true value of homes is unchanged between the two periods.

The ideal home price index would be based off sale prices for the same set of homes in each time period so there was never an issue of the sales mix being different across periods. This approach of using a constant basket of goods is widely used, common examples being a commodity price index and a consumer price index. Unfortunately, unlike commodities and consumer goods, for which we can observe prices in all time periods, we can’t observe prices on the same set of homes in all time periods because not all homes are sold in every time period.

The innovation that Zillow developed in 2005 was a way of approximating this ideal home price index by leveraging the valuations Zillow creates on all homes (called Zestimates). Instead of actual sale prices on every home, the index is created from estimated sale prices on every home. While there is some estimation error associated with each estimated sale price (which we report here), this error is just as likely to be above the actual sale price of a home as below (in statistical terms, this is referred to as minimal systematic error). Because of this fact, the distribution of actual sale prices for homes sold in a given time period looks very similar to the distribution of estimated sale prices for this same set of homes. But, importantly, Zillow has estimated sale prices not just for the homes that sold, but for all homes even if they didn’t sell in that time period. From this data, a comprehensive and robust benchmark of home value trends can be computed which is immune to the changing mix of properties that sell in different periods of time (see Dorsey et al. (2010) for another recent discussion of this approach).

For an in-depth comparison of the Zillow Home Value Index to the Case Shiller Home Price Index, please refer to the Zillow Home Value Index Comparison to Case-Shiller

Each Zillow Home Value Index (ZHVI) is a time series tracking the monthly median home value in a particular geographical region. In general, each ZHVI time series begins in April 1996. We generate the ZHVI at seven geographic levels: neighborhood, ZIP code, city, congressional district, county, metropolitan area, state and the nation.

Underlying Data

Estimated sale prices (Zestimates) are computed based on proprietary statistical and machine learning models. These models begin the estimation process by subdividing all of the homes in United States into micro-regions, or subsets of homes either near one another or similar in physical attributes to one another. Within each micro-region, the models observe recent sale transactions and learn the relative contribution of various home attributes in predicting the sale price. These home attributes include physical facts about the home and land, prior sale transactions, tax assessment information and geographic location. Based on the patterns learned, these models can then estimate sale prices on homes that have not yet sold.

The sale transactions from which the models learn patterns include all full-value, arms-length sales that are not foreclosure resales. The purpose of the Zestimate is to give consumers an indication of the fair value of a home under the assumption that it is sold as a conventional, non-foreclosure sale. Similarly, the purpose of the Zillow Home Value Index is to give consumers insight into the home value trends for homes that are not being sold out of foreclosure status. Zillow research indicates that homes sold as foreclosures have typical discounts relative to non-foreclosure sales of between 20 and 40 percent, depending on the foreclosure saturation of the market. This is not to say that the Zestimate is not influenced by foreclosure resales. Zestimates are, in fact, influenced by foreclosure sales, but the pathway of this influence is through the downward pressure foreclosure sales put on non-foreclosure sale prices. It is the price signal observed in the latter that we are attempting to measure and, in turn, predict with the Zestimate.

Market Segments Within each region, we calculate the ZHVI for various subsets of homes (or mar...

Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Oct 2024 to Oct 2025 about headline figure, sales, housing, and USA.

In 2023, approximately ** percent of homes sold in Texas, United States fell in the ******* to ******* U.S. dollar price class. Luxury homes valued at over *********** U.S. dollars were almost **** percent of all sales. The housing market in Texas grew substantially between 2011 and 2023, with both sales volumes and house prices increasing notably.

Pending Home Sales MoM in the United States increased to 1.90 percent in October from 0.10 percent in September of 2025. This dataset includes a chart with historical data for the United States Pending Home Sales MoM.

Housing developers have navigated pronounced economic swings over the past five years, as borrowing environments and Federal Reserve rate policy have dictated industry growth and contraction. Early pandemic-era interest rate cuts and remote work fueled a boom in home building, especially in suburban and affordable regions, but subsequent rate hikes sharply reversed momentum. Developers enjoyed robust sales from projects initiated during the low-rate period, even as new housing starts declined under pressure from rising mortgage costs and weakening consumer demand. The struggle has been particularly acute for small and medium-sized housing developers, which continue to close their doors or merge as cost pressures mount and competition from large developers intensifies. Persistent labor shortages and escalating input costs, driven partly by tariffs, have prevented profit growth, boosting the market share and pricing power of prominent developers able to pass costs to buyers or access strategic partners. Overall, industry revenue has been increasing at a CAGR of 5.2% over the past five years to total an estimated $324.2 billion in 2025, including an estimated decrease of 0.7% in 2025. Single-family construction marked a bright spot in 2024, with leading developers like DR Horton capitalizing on demand for space and affordability. However, the pipeline for single-family projects has been hindered by high rates and tariff uncertainty that persisted throughout most of 2025. Multifamily development endured deeper contractions, particularly in 2023 and 2024, with vacancy rates and losses intensifying among even the largest developers before rebounding in 2025 as starts and demand recovered. Continued rate cuts by the Federal Reserve will set the stage for housing developers to regain growth momentum. Developers are poised to benefit from pent-up demand, housing shortages and renewed construction activity, particularly in the single-family segment, where affordability remains critical. However, rising material and labor costs will continue to pose operational challenges, leading developers to seek efficiencies or pass costs downstream. The expiration of federal green building credits in 2026 will prompt a rush to complete qualifying projects, but may curb longer-term investment in sustainable construction unless new incentives emerge. Expansions near newly announced manufacturing hubs are expanding, with developers acquiring land and prepping communities to meet workforce housing needs as the national focus on domestic manufacturing spurs regional population inflows and rising housing demand. Overall, industry revenue is forecast to climb at a CAGR of 1.8% to total an estimated $354.7 billion through the end of 2030.

Pending Home Sales in the United States decreased 0.40 percent in October of 2025 over the same month in the previous year. This dataset provides the latest reported value for - United States Pending Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

United States Existing Home Sales: sa: Annual Rate: US data was reported at 5,380,000.000 Unit in Jun 2018. This records a decrease from the previous number of 5,410,000.000 Unit for May 2018. United States Existing Home Sales: sa: Annual Rate: US data is updated monthly, averaging 5,250,000.000 Unit from Jan 1999 (Median) to Jun 2018, with 234 observations. The data reached an all-time high of 7,250,000.000 Unit in Sep 2005 and a record low of 3,300,000.000 Unit in Jul 2010. United States Existing Home Sales: sa: Annual Rate: US data remains active status in CEIC and is reported by National Association of Realtors. The data is categorized under Global Database’s USA – Table US.EB005: Existing Home Sales.