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.

New York was the state with the highest share of renter households in the United States in 2023. About ** percent of the households lived in rental accommodation in that year. Renting was even more common in the District of Colombia, where about ** percent of households were renters. It is important to note that these figures exclude group quarters, which are institutions and other group living arrangements, such as rooming houses or military barracks.

In 2023, single-family homes and apartments in buildings with five or more units were the most popular structure for renters in the United States. Approximately *** million people lived in a rental home, with about ** million occupying an apartment in a multifamily building. That corresponded to about ** million households in total and ** million households living in an apartment in a large residential building.

Graph and download economic data for Rental Vacancy Rate in the United States from Q1 1956 to Q1 2025 about vacancy, rent, rate, and USA.

People under the age of ** comprised the largest share of renters in the U.S. in 2023. Almost half of the population that lives in a rental apartment fell in this age group, while the eldest generation of 65-year-olds and older accounted for ** percent. This disparity can be explained by the vast differences in homeownership rates between these age groups.

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.

This map shows the percentage of housing units that are renter-occupied in the United States. A renter-occupied unit is an occupied housing unit that is occupied by someone other than the owner or co-owner of that unit. Areas in the lightest blue color have the most renter-occupied units.The pattern is shown by states, counties, and tracts. The map opens in San Francisco, CA but the data is available nationwide (including Puerto Rico and Washington D.C.). Search for your area and save a new web map to create a local perspective. The data comes from the U.S. Census Bureau's American Community Survey (ACS). The layer used to make this map is updated annually when the Census releases their new estimates. Click here to find full documentation or here to find layers covering various demographic topics in ArcGIS Living Atlas.

United States Housing Vacancy Rate: Rental data was reported at 6.800 % in Jun 2018. This records a decrease from the previous number of 7.000 % for Mar 2018. United States Housing Vacancy Rate: Rental data is updated quarterly, averaging 7.400 % from Mar 1956 (Median) to Jun 2018, with 250 observations. The data reached an all-time high of 11.100 % in Sep 2009 and a record low of 5.000 % in Dec 1981. United States Housing Vacancy Rate: Rental data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.EB008: Housing Vacancy and Home Ownership Rate.

Graph and download economic data for Housing Inventory Estimate: Renter Occupied Housing Units in the United States (ERNTOCCUSQ176N) from Q2 2000 to Q1 2025 about inventories, housing, and USA.

Rent Inflation in the United States decreased to 3.90 percent in May from 4 percent in April of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

Household Income By Gross Rent As A Percentage Of Household Income Report based on US Census and American Community Survey Data.

Revenue for apartment lessors has expanded through the end of 2025. Apartment lessors collect rental income from rental properties, where market forces largely determine their rates. The supply of apartment rentals has grown slower than demand, which has elevated rental rates for lessors' benefit. As the Federal Reserve hiked interest rates 11 times between March 2022 and January 2024, homeownership was pushed beyond the reach of many, resulting in a tighter supply and increased demand for rental properties. Despite three interest rate cuts in 2024, mortgage rates have remained high, further encouraging consumers to rent. Revenue has climbed at a CAGR of 2.9% over the past five years and is expected to reach $299.7 billion by the end of 2025. This includes an anticipated 3.0% gain in 2025 alone. The increasing unaffordability of housing is caused by the steady climb of mortgage rates and high prices maintained by a low supply. Supply has been held down as buyers who locked in low rates stay put, and investment groups hold a strategic number of their properties empty as investments. Industry profit has remained elevated because of solid demand for apartment rentals. Through the end of 2030, the apartment rental industry's future performance is likely to be shaped by varying factors. The apartment supply in the US, which hit a record in 2024, is expected to taper off, which will, in turn, push rental prices and occupancy rates up to the lessors' benefit. Other factors, such as further interest rate cuts, decreasing financial barriers to homeownership, and a high rate of urbanization, will also significantly impact the industry. Wth approximately 80.7% of the US population living in urban areas, demand for apartment rentals will strengthen, although rising rental prices could force potential renters to cheaper suburbs. Demand will continue to outpace supply growth, prompting a climb in revenue. Revenue is expected to swell at a CAGR of 2.8% over the next five years, reaching an estimated $344.3 billion in 2030.

This dataset contains information about the percent of income households spend on rent in cities in San Mateo County. This data is for renters only, not those who live in owner-occupied homes with or without a mortgage. This data was extracted from the United States Census Bureau's American Community Survey 2014 5 year estimates.

This dataset contains information about the percent of income households spend on rent in cities in San Mateo County. This data is for renters only, not those who live in owner-occupied homes with or without a mortgage. This data was extracted from the United States Census Bureau's American Community Survey 2014 5 year estimates.

United States Unemployment Rate: PW: NA: Real Estate Rental & Leasing data was reported at 3.000 % in Apr 2025. This records a decrease from the previous number of 4.600 % for Mar 2025. United States Unemployment Rate: PW: NA: Real Estate Rental & Leasing data is updated monthly, averaging 3.700 % from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 12.600 % in May 2020 and a record low of 0.900 % in Sep 2024. United States Unemployment Rate: PW: NA: Real Estate Rental & Leasing data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G037: Current Population Survey: Unemployment Rate.

Graph and download economic data for Rental Vacancy Rate in the South Census Region (RRVRSOQ156N) from Q1 1956 to Q1 2025 about South Census Region, vacancy, rent, rate, and USA.

Renters between the age of 40 and 54 in the United States were most likely to be late on their rental payment, according to an October 2023 survey. The survey, which was conducted among over 79,000 Americans, found that about 11.5 percent of those renting their home were behind on rent. Among the 40 to 54-year-olds, this share amounted to 15.6 percent. People aged 65 and above were the least likely to delay a rental payment.

Rental Vacancy Rate in the United States was 7.10% in January of 2025, according to the United States Federal Reserve. Historically, Rental Vacancy Rate in the United States reached a record high of 11.10 in July of 2009 and a record low of 5.00 in January of 1978. Trading Economics provides the current actual value, an historical data chart and related indicators for Rental Vacancy Rate in the United States - last updated from the United States Federal Reserve on May of 2025.

This map shows housing costs as a percentage of household income. Severe housing cost burden is described as when over 50% of income in a household is spent on housing costs. For renters it is over 50% of household income going towards gross rent (contract rent plus tenant-paid utilities). Miami, Florida accounts for the having the highest population of renters with severe housing burden costs.The map's topic is shown by tract and county 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. Income is based on earnings in past 12 months of survey. Current Vintage: 2015-2019ACS Table(s): B25070, B25091Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 10, 2020National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis map 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. 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. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2010 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. 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.

From March 18 to 20, 56 percent of renters in the United States still planned to move into a new place despite the COVID-19 pandemic. A week later, that share of renters, who would still move as soon as they found an apartment, fell only slightly and equaled to 52 percent. Only ten percent of renters said that they were putting their search on hold for a few weeks due to the pandemic.