Graph and download economic data for Housing Inventory Estimate: Vacant Housing Units in the United States (EVACANTUSQ176N) from Q2 2000 to Q2 2025 about vacancy, inventories, housing, and USA.

The number of vacant homes for rent in the United States increased for the third year in a row in 2024, after reaching a record low in 2021. In the fourth quarter of 2024, there were approximately *** million unoccupied housing units for rent.

Graph and download economic data for Housing Inventory Estimate: Year-Round Vacant Housing Units in the United States (EYRVACUSQ176N) from Q2 2000 to Q2 2025 about vacancy, inventories, housing, and USA.

The homeowner vacancy rate in the United States reached its lowest value in 2022, followed by an increase in the next two years. The rate shows what share of owner-occupied housing units were vacant and for sale. That figure peaked in 2008, when nearly three percent of homes were vacant, and gradually fell below one percent after the 2020 housing boom. Homeownership is a form of living arrangement where the owner of the inhabited property, whether apartment, house, or type of real estate, lives on the premises. Due to usually high costs associated with owning a property and perceived advantages or disadvantages associated with such a long-term investment, homeownership rates differ greatly around the world, based on both cultural and economic factors. Homeownership attitude in the U.S. Individuals may have unique opportunities or inclinations to become homeowners based on nationality, age, financial status, social status, occupation, marital status, education, or even ethnicity and whether one is local-born or foreign-born. In 2024, the homeownership rate among older Americans was higher than for younger Americans. In the U.S., homeownership is generally believed to be a good investment, in terms of security (no risk of eviction) and financial aspect (owning a valuable real estate property). In 2023, there were approximately 86 million owner-occupied housing units, a stark increase compared to four decades prior. Why is homeownership sentiment low? The housing market has been suffering chronic undersupply, leading to a surge in prices and eroding affordability. In 2023, the housing affordability index plummeted, reflecting the growing challenge that homeowners face when looking for property. Insufficient income, savings, and high home prices are some of the major obstacles that come in the way of a property purchase. Though affordability varied widely across different metros, just about 15 percent of U.S. renters could afford to buy the median-priced home in their area.

United States Number of Housing Unit: Vacant: Year Round: Other Reasons data was reported at 4,146.000 Unit th in Jun 2018. This records an increase from the previous number of 4,006.000 Unit th for Mar 2018. United States Number of Housing Unit: Vacant: Year Round: Other Reasons data is updated quarterly, averaging 2,142.500 Unit th from Mar 1965 (Median) to Jun 2018, with 214 observations. The data reached an all-time high of 4,146.000 Unit th in Jun 2018 and a record low of 931.000 Unit th in Dec 1970. United States Number of Housing Unit: Vacant: Year Round: Other Reasons data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB011: Number of Housing Units. Series Remarks1. Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980.2. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes.3. Data for 1993 Q1 to Q4 was revised based on the 1990 Census.4. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

Housing Inventory Estimate: Vacant Housing Units for Rent in the United States was 3546.00000 Thous. of Units in April of 2025, according to the United States Federal Reserve. Historically, Housing Inventory Estimate: Vacant Housing Units for Rent in the United States reached a record high of 4625.00000 in July of 2009 and a record low of 2491.00000 in April of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for Housing Inventory Estimate: Vacant Housing Units for Rent in the United States - last updated from the United States Federal Reserve on September of 2025.

United States Number of Housing Unit: Vacant: Year Round: Held Off Market data was reported at 7,467.000 Unit th in Sep 2018. This records a decrease from the previous number of 7,548.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round: Held Off Market data is updated quarterly, averaging 4,691.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 7,700.000 Unit th in Jun 2014 and a record low of 1,764.000 Unit th in Jun 1965. United States Number of Housing Unit: Vacant: Year Round: Held Off Market data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

United States Number of Housing Unit: Vacant: Year Round data was reported at 13,220.000 Unit th in Sep 2018. This records an increase from the previous number of 13,103.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round data is updated quarterly, averaging 9,099.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 14,491.000 Unit th in Jun 2010 and a record low of 4,255.000 Unit th in Dec 1970. United States Number of Housing Unit: Vacant: Year Round data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

The AHS is the largest, regular national housing sample survey in the United States. The U.S. Census Bureau conducts the AHS to obtain up-to-date housing statistics for the Department of Housing and Urban Development (HUD). The most recent AHS was conducted in 2013 and the next AHS will be conducted in 2015. The AHS national survey was conducted annually from 1973-1981 and biennially (every two years) from 1983 - 2015. Metropolitan area surveys have been conducted annually or biennially since 1974.

United States Number of Housing Unit: Vacant: Year Round: For Rent data was reported at 3,343.000 Unit th in Sep 2018. This records an increase from the previous number of 3,206.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Year Round: For Rent data is updated quarterly, averaging 2,802.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 4,588.000 Unit th in Sep 2009 and a record low of 1,120.000 Unit th in Dec 1969. United States Number of Housing Unit: Vacant: Year Round: For Rent data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

The AHS is the largest, regular national housing sample survey in the United States. The U.S. Census Bureau conducts the AHS to obtain up-to-date housing statistics for the Department of Housing and Urban Development (HUD). The AHS contains a wealth of information that can be used by professionals in nearly every field for planning, decisionmaking, market research, or various kinds of program development. It gives you data on apartments, single-family homes, mobile homes, vacant homes, family composition, income, housing and neighborhood quality, housing costs, equipment, fuels, size of housing unit, and recent movers.

This statistic shows the share of investment properties which were vacant in the United States in 2018, by state. In California, **** percent of investment homes were unoccupied in 2018.

U.S. Vacant Homes - Historical chart and current data through 2025.

United States Number of Housing Unit: Vacant: Seasonal data was reported at 4,011.000 Unit th in Sep 2018. This records an increase from the previous number of 3,970.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant: Seasonal data is updated quarterly, averaging 2,995.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 4,894.000 Unit th in Mar 2009 and a record low of 1,486.000 Unit th in Dec 1976. United States Number of Housing Unit: Vacant: Seasonal data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

Map of percent of housing units vacant in 2019, by census tract. Map created in ESRI Business Analyst.Source: ESRI Business Analyst, 2019 estimatesData Source Methodology: https://downloads.esri.com/esri_content_doc/dbl/us/J10268_Methodology_Statement_2019-2024_Esri_US_Demographic_Updates.pdf

This layer shows vacant housing by type (for rent/sale, vacation home, etc.). This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.This layer is symbolized to show the count and percent of housing units that are vacant. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B25004, B25002, B25003 (Not all lines of ACS tables B25002 and B25003 are available in this layer.)Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data.Data Note from the Census:Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data). The effect of nonsampling error is not represented in these tables.Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).The States layer contains 52 records - all US states, Washington D.C., and Puerto RicoCensus tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey.Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate.The estimate is controlled. A statistical test for sampling variability is not appropriate.The data for this geographic area cannot be displayed because the number of sample cases is too small.

This data on empty homes is presented in two sections: our original data is provided for the whole of England, collated from local authority returns to the Department of Communities and Local Government (DCLG) for 2010 to 2014. Re-formatting the data and releasing it locally helps us see and use the data locally to monitor this issue - especially useful in an area of high housing pressure.Our second section of empty homes data, published in 2019, is presented under six side-headings, with one line of data for the whole of England followed by data for our eight Housing Board districts only, rather than districts across the whole country. The data comes from returns made to the Government and is simply re-presented to make it easier to use locally, and slightly more accessible.The 2019 data comes from a variety of government returns which can be found on the MHCLG web pages; is provided for 2004 to 2017, and is broken down into All vacants All long-term vacants Local authority owned vacants Private registered provider vacants (aka housing associations) Private registered provider long tem vacants (aka housing associations) ​Other public sector vacants (discontinued in 2015, so no values in 2016 or 2017). Notes are provided in the data dictionary for each dataset, setting out further detail.​

In 2024, there were approximately **** million housing units occupied by renters in the United States. This number has been gradually increasing since 2010 as part of a long-term upward swing since 1975. Meanwhile, the number of unoccupied rental housing units has followed a downward trend, suggesting a growing demand and supply failing to catch up. Why are rental homes in such high demand? This high demand for rental homes is related to the shortage of affordable housing. Climbing the property ladder for renters is not always easy, as it requires prospective homebuyers to save up for a down payment and qualify for a mortgage. In many metros, the median household income is insufficient to qualify for the median-priced home. How many owner occupied homes are there in the U.S.? In 2023, there were over ** million owner occupied homes. Owner occupied housing is when the person who owns a property – either outright or through a mortgage – also resides in the property. Excluded are therefore rental properties, employer-provided housing and social housing.

United States Number of Housing Unit: Vacant data was reported at 17,231.000 Unit th in Sep 2018. This records an increase from the previous number of 17,073.000 Unit th for Jun 2018. United States Number of Housing Unit: Vacant data is updated quarterly, averaging 12,114.000 Unit th from Mar 1965 (Median) to Sep 2018, with 215 observations. The data reached an all-time high of 19,061.000 Unit th in Mar 2009 and a record low of 5,980.000 Unit th in Dec 1968. United States Number of Housing Unit: Vacant data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB011: Number of Housing Units. Series Remarks Data for 1979 Q1 to Q4 was revised to reflect changes made in 1980. Data for 1989 Q1 to Q4 was revised to include year-round vacant mobile homes. Data for 1993 Q1 to Q4 was revised based on the 1990 Census. Data for 2002 Q1 to Q4 was revised based on the 2000 Census.

The residential vacancy rate is the percentage of residential units that are unoccupied, or vacant, in a given year. The U.S. Census Bureau defines occupied housing units as “owner-occupied” or “renter-occupied.” Vacant housing units are not classified by tenure in this way, as they are not occupied by an owner or renter.

The residential vacancy rate serves as an indicator of the condition of the area’s housing market. Low residential vacancy rates indicate that demand for housing is high compared to the housing supply. However, the aggregate residential vacancy rate is lacking in granularity. For example, the housing market for rental units in the area and the market for buying a unit in the same area may be very different, and the aggregate rate will not show those distinct conditions. Furthermore, the vacancy rate may be high, or low, for a variety of reasons. A high vacancy rate may result from a falling population, but it may also result from a recent construction spree that added many units to the total stock.

The residential vacancy rate in Champaign County appears to have fluctuated between 8% and 14% from 2005 through 2022, reaching a peak near 14% in 2019. In 2023, this rate dropped to about 7%, its lowest value since 2005. However, this rate was calculated using the American Community Survey’s (ACS) estimated number of vacant houses per year, which has year-to-year fluctuations that are largely not statistically significant. Thus, we cannot establish a trend for this data.

The residential vacancy rate data shown here was calculated using the estimated total housing units and estimated vacant housing units from the U.S. Census Bureau’s American Community Survey 1-Year Estimates, which are released annually.

As with any datasets that are estimates rather than exact counts, it is important to take into account the margins of error (listed in the column beside each figure) when drawing conclusions from the data.

Due to the impact of the COVID-19 pandemic, instead of providing the standard 1-year data products, the Census Bureau released experimental estimates from the 1-year data in 2020. This includes a limited number of data tables for the nation, states, and the District of Columbia. The Census Bureau states that the 2020 ACS 1-year experimental tables use an experimental estimation methodology and should not be compared with other ACS data. For these reasons, and because data is not available for Champaign County, no data for 2020 is included in this Indicator.

For interested data users, the 2020 ACS 1-Year Experimental data release includes a dataset on Occupancy Status.

Sources: U.S. Census Bureau; American Community Survey, 2023 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (17 October 2024).; U.S. Census Bureau; American Community Survey, 2022 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (25 September 2023).; U.S. Census Bureau; American Community Survey, 2021 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (4 October 2022).; U.S. Census Bureau; American Community Survey, 2019 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2018 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using data.census.gov; (8 June 2021).; U.S. Census Bureau; American Community Survey, 2017 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (13 September 2018).; U.S. Census Bureau; American Community Survey, 2016 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (14 September 2017).; U.S. Census Bureau; American Community Survey, 2015 American Community Survey 1-Year Estimates, Table B25002, generated by CCRPC staff; using American FactFinder; (19 September 2016).; U.S. Census Bureau; American Community Survey, 2014 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2013 American Community Survey 1-Year Estimates, Table SB25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2012 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2011 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2010 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2009 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2008 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2007 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2006 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).; U.S. Census Bureau; American Community Survey, 2005 American Community Survey 1-Year Estimates, Table B25002; generated by CCRPC staff; using American FactFinder; (16 March 2016).