The National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market.

Inventory indicates the number of properties marked as "active" on the market or those pending sales. When a seller lists a property, it becomes counted as inventory.

For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology).

Copyright, 2016, National Association of Realtors. Reprinted with permission.

Graph and download economic data for Housing Inventory: Median Days on Market in Texas (MEDDAYONMARTX) from Jul 2016 to May 2025 about TX, median, and USA.

The total of both active listings and pending listings in a given market during the specified month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

Graph and download economic data for Housing Inventory: Active Listing Count in Las Vegas-Henderson-Paradise, NV (CBSA) (ACTLISCOU29820) from Jul 2016 to May 2025 about Las Vegas, NV, active listing, listing, and USA.

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

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 906,000, 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.

The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings).

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The number of housing units in the United States has grown year-on-year and in 2024, there were approximately *** million homes. That was an increase of about one percent from the previous year. Homeownership in the U.S. Most of the housing stock in the U.S. is owner-occupied, meaning that the person who owns the home uses it as a primary residence. Homeownership is an integral part of the American Dream, with about *** in ***** Americans living in an owner-occupied home. For older generations, the homeownership rate is even higher, showing that buying a home is an important milestone in life. Housing transactions slowing down During the coronavirus pandemic, the U.S. experienced a housing market boom and witnessed an increase in the number of homes sold. Since 2020, when the market peaked, new homes transactions have slowed down and so have the sales of existing homes. That has affected the development of home prices, with several states across the country experiencing a decline in house prices.

The Components of Inventory Change (CINCH) report measures changes in the characteristics of the housing stock of the United States. Using data collected from the national American Housing Survey (AHS), conducted every two years, the characteristics of individual housing units are compared across time. This comparison allows researchers to see not only changes in the characteristics of housing units, but also in the characteristics of occupants. Information is available on the characteristics of units added and removed from the housing stock. he CINCH is produced after each AHS is collected (the AHS is collected every two years in odd-numbered years)

The total of both active listings and pending listings in a given market during the specified month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings).

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

This is a compilation of Python scripts used when developing the Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) NIST TN.

Graph and download economic data for Housing Inventory: Median Days on Market in Anchorage, AK (CBSA) (MEDDAYONMAR11260) from Jul 2016 to May 2025 about Anchorage, AK, median, and USA.

The count of listings which have had their price reduced in a given market during the month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

This database includes data used in the Project Connect Anti-Displacement Dashboard. The file includes 2020 decennial population and housing unit counts at the Block level, combined with 2020 ACS data at the Census Tract level that was used in the 2020 Displacement Risk map. To determine displacement risk, researchers at the University of Texas conducted a three-part analysis: the presence of vulnerable populations, residential market appreciation, and demographic change. To determine vulnerable populations, the authors used indicators to identify residents who, according to academic research, are least able to absorb housing costs, which includes: communities of color, low-income households, heads of households without a bachelor's degree or higher, families with children in poverty, and renters. In 2020, the City of Austin Housing and Planning staff updated the data and simplified the categories. The data sources include the 2020 Census, 2016-2020 ACS 5-year Estimates, and City of Austin Affordable Housing Inventory. This file also includes the total income restricted units from the Comprehensive Affordable Housing Directory (CAHD) and City of Austin Affordable Housing Inventory (AHI) as of 8.22.2022.

The real estate sales and brokerage industry is navigating a complex landscape with high mortgage rates and dropping home sales. The Federal Reserve's decision to raise the benchmark interest rate 11 times across 2022 and 2023 to combat inflation led to a significant climb in mortgage rates, dampening buyer demand and affordability. This gain has deterred homeowners from selling, leading to low housing inventory. Despite the rate cuts that came in 2024, mortgage rates remain high, with the typical 30-year fixed mortgage staying above 6.5%. Existing home sales also hit a near 30-year low in 2024, mainly because of high home prices and tight supply. Amid these challenges, the real estate market has seen a surge in home values, propelling industry growth. This growth greatly benefits real estate agents and brokerages, who often base their commissions on the house's selling price. Despite the high vacancy rates, the office market also shows signs of picking up, primarily because of demand for high-quality assets such as Class A office spaces and modern buildings. Increased competitive pressure necessitates more aggressive marketing tactics to secure listings and attract sellers. Nonetheless, because of the industry's robust performance from 2020 to 2021, revenue has climbed at a CAGR of 0.8% over the past five years, reaching $241.3 billion in 2025. 2025 revenue will climb an estimated 1.0% as home price appreciation and a rebound in commercial sales volume will fuel tepid growth. The higher-for-longer interest rate environment is expected to slow the industry's growth. The high mortgage rates and escalating home prices will likely price out many potential home buyers from the market, forcing customers to rent or live in multifamily complexes. The limited new office construction will stimulate office building sales and intensify brokerage activity. The housing stock situation is expected to remain tight, with homeowners staying in their homes for longer and contributing to home price appreciation. Amid these conditions, a likely shift toward new construction and build-to-rent properties for agents and brokers is anticipated. Increased competition in the form of market saturation and disruption from online platforms will inhibit profit growth. Overall, industry revenue will gain at a CAGR of 2.3% to reach $270.8 billion in 2030.

Sweden had the largest residential stock within the Nordic countries, as of 2018. It amounted to nearly five million units in total, whereas the Finnish stock followed with over three million housings that year.

The median number of days property listings spend on the market in a given geography during the specified month (calculated from list date to closing, pending, or off-market date depending on data availability).

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

This data collection provides information on the characteristics of the housing inventory in 18 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, real estate taxes, and repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. In addition to housing characteristics, demographic data including sex, age, race, Hispanic origin, and length of residence, are available for the household head. The number of persons living in the household is also provided.

Flood hazards include:FEMA 100 and 500-year floodplainsStorm surge- high frequency (Category 1-3) and low frequency (Category 4 & 5)Sea level projections*King tide + sea level projections*10-year storm surge + sea level projections *

*NOAA Intermediate Low and Intermediate High for 2020, 2040, and 2070

Each AHI point (development from the Assisted Housing Inventory) for the Tampa Bay area is assigned a composite exposure value calculated by summing the presence of potential flood hazards over the time period 2020 - 2070, with a maximum score of 23. Parcel exposure, rounded to the nearest whole number, is as follows:<!- "None" = 0 composite exposure<!--"Low" = 1 - 7 composite exposure<!--"Medium" = 8 - 15 composite exposure<!--"High" = 16 - 23 composite exposureData sources include: <!--The Assisted Housing Inventory (AHI) data was sourced from the Florida Housing Data Clearinghouse on April 25, 2019. (See https://flhousingdata.shimberg.ufl.edu/assisted-housing-inventory and the associated “AHI User Guide” https://flhousingdata.shimberg.ufl.edu/AHI-user-guide.)<!--FEMA floodplain data are “FLOOD HAZARD ZONES OF THE DIGITAL FLOOD INSURANCE RATE MAP (DFIRM) IN THE STATE OF FLORIDA - OCTOBER 2020,” and obtained from Florida Geographic Data Library (FGDL) (https://fgdl.org/metadataexplorer/explorer.jsp). Metadata for this layer can be found here https://www.fla-etat.org/meta/dfirm_100_floodzones.xml. Storm surge data were obtained from the NOAA National Hurricane Center’s National Storm Surge Hazard Maps, and depict projected surge inundation based on SLOSH modeling and coastal Digital Elevation Models (DEMs). The data and metadata can be found here: https://www.nhc.noaa.gov/nationalsurge/.o Storm surge exposure is divided into low frequency (categories 4 & 5) and high frequency (categories 1-3) groups. This grouping was determined based on the frequency of occurrence of direct hurricane impacts to Florida over the period of 1851 to 2018 (https://www.aoml.noaa.gov/hrd-faq/#1569507388495-a5aa91bb-254c). <!--Sea level rise (SLR) projections were developed by the Tampa Bay Regional Planning Council (TBRPC) based on the 2017 NOAA sea level rise curves (“Intermediate High” and “Intermediate Low”), local tidal data, and Digital Elevation Model (DEM) data using the TBRPC’s Flood Master tool. It should be noted that the Intermediate High projections are consistent with the Florida’s 2021 "Statewide Flooding and Sea Level Rise Resilience" bill and the FEMA National Flood Insurance Program.o Sea level rise projections were calculated for each of the SLR scenarios for the years 2020, 2040 and 2070, and then adjusted using the St. Petersburg tide gauge (for Pinellas, Manatee, Sarasota, Hillsborough and Pasco counties) and the Cedar Key gauge (for Citrus and Hernando counties). Reference tide gauges were based on recommendations from the Climate Science Advisory Panel of Tampa Bay, and tidal data was obtained from the US Army Corps of Engineers SLR calculator: https://cwbi-app.sec.usace.army.mil/rccslc/slcc_calc.html. Mean tide was selected for all runs performed for this project. o
TBRPC’s Flood Master tool uses Digital Elevation Models (DEMs) to then determine the areas of inundation associated with the projected sea level rise, as well as the high tide and 10-year event storm surge scenarios. Additional tide gauges and drainage basin boundaries within the TBRPC region were used to refine the inundation estimations. Additional information and the data can be found here: https://opendata-tbrpc.hub.arcgis.com/.<!--King tide + SLR / 10-year storm surge + SLR projections. High tide flooding is derived from “coastal flood frequency” data layers obtained from NOAA Digital Coast (https://coast.noaa.gov/slrdata/), and the 10-year storm surge is derived from a SLOSH study conducted by AECOM. TBRPC combined these two layers with SLR scenarios to provide further inundation analysis. <!--Satellite imagery of flooded land area post-Hurricane Irma (September, 2017) was sourced from Atmospheric and Environmental Research (AER; https://www.aer.com/). This is an experimental flooded land composite satellite data product derived from the NASA Advanced Microwave Scanning Radiometer group of sensors (AMSR-E, AMSR2: https://earthdata.nasa.gov/about/sips/sips-amsr-e-2), the Global Precipitation Measurement Microwave Imager (GMI: https://pmm.nasa.gov/gpm/flight-project/gmi), and the Special Sensor Microwave Imager (SSM/I: https://podaac.jpl.nasa.gov/SSMI). It should be noted that this product was used to provide an interim indication of interior land areas prone to flooding. (Atmospheric and Environmental Research, 2017, ARC Flood Extent Depiction Algorithm Description Document, AFED Version V03R01, Document Revision R03, Lexington, MA. 56pp.) <!--CDC Social Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. Census tract. Overall vulnerability combines four themes including 1) Socioeconomic Status, 2) Household Composition and Disability, 3) Minority Status and Language, and 4) Housing Type and Transportation. These four themes are in turn based on groupings from 15 factors such as unemployment, minority status, disability, etc. Thus, each tract receives an overall ranking as well as a ranking for each of the four themes. In addition, a relative Measure is included (expressed as a percentile), which indicates the vulnerability ranking by tract and parcel. Values range from 0 to 1, with 1 being the most vulnerable. Additional information on the SVI layer can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html