The median monthly rent for all apartment types in the U.S. has stabilized since 2022, despite some seasonal fluctuations. In August 2025, the monthly rent for a two-bedroom apartment amounted to ***** U.S. dollars. That was an increase from ***** U.S. dollars in January 2021, but a decline from the peak value of ***** U.S. dollars in August 2022. Where are the most expensive apartments in the U.S.? Apartment rents vary widely from state to state. To afford a two-bedroom apartment in California, for example, a renter needed to earn an average hourly wage of nearly ** U.S. dollars. This was approximately double the average wage in North Carolina and three times as much as the average wage in Arkansas. In fact, rental costs were considerably higher than the hourly minimum wage in all U.S. states. How did rents change in different states in the U.S.? In 2025, some of the most expensive states to rent an apartment only saw a moderate increase in rental prices. Nevertheless, rents increased in most states as of August 2025. In West Virginia, the annual rental growth was the highest, at ***** percent.

In 2024, New York, NY, was the most expensive rental market for one-bedroom apartments in the United States. The median monthly rental rate of an apartment in New York was ***** U.S. dollars, while in San Francisco, CA which ranked second highest, renters paid on average ***** U.S. dollars.

Apartment rents in two states and the District of Columbia in the U.S. exceeded ***** U.S. dollars in April 2025. In Hawaii, the median rent was about ***** U.S. dollars, nearly *** U.S. dollars higher than the national average. At the other end of the spectrum was Nebraska, where renters paid about ***** U.S. dollars for the median new lease. Overall, most states saw rental rates increase year-on-year.

In January 2025, apartment rents recorded an annual growth in most U.S. states. Nevertheless, the national average rent declined by about *** percent. West Virginia was the state with the largest rental increase, while Colorado measured the largest decline. California, one of the most expensive states to rent an apartment, such as California, saw an increase of about *** percent from the previous year. How much should you earn to afford to rent an apartment in different states in the U.S.? Both employment opportunities and the living costs vary widely across the country. In California, which is among the most competitive housing markets in the U.S., the hourly wage needed to afford a two-bedroom apartment rental was roughly ** U.S. dollars, more than twice higher than in North Carolina, Louisiana, or Michigan in 2024. When it comes to the median household income, on the other hand, California does not even make it in the top ten states. How much should you earn to afford a home in some of U.S. largest metros? In 2022, the annual salary needed to buy a median-priced home in the U.S. was ****** U.S. dollars. However, in some of the largest metropolitan areas in the United States, where housing prices are up to two or three times higher, homebuyers would have to earn more than 100,000 U.S. dollars to afford a home. In San Jose, which was the most expensive metro, the annual salary needed for a median-priced home was approximately ******* U.S. dollars.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average (CUUR0000SEHA) from Dec 1914 to Aug 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Median monthly rental prices for the private rental market in England by bedroom category, region and administrative area, calculated using data from the Valuation Office Agency and Office for National Statistics.

This table contains data described by the following dimensions (Not all combinations are available): Geography (247 items: Carbonear; Newfoundland and Labrador; Corner Brook; Newfoundland and Labrador; Grand Falls-Windsor; Newfoundland and Labrador; Gander; Newfoundland and Labrador ...), Type of structure (4 items: Apartment structures of three units and over; Apartment structures of six units and over; Row and apartment structures of three units and over; Row structures of three units and over ...), Type of unit (4 items: Two bedroom units; Three bedroom units; One bedroom units; Bachelor units ...).

Graph and download economic data for Rental Vacancy Rate in the United States (RRVRUSQ156N) from Q1 1956 to Q2 2025 about vacancy, rent, rate, and USA.

The District of Columbia is the most expensive U.S. state for studio apartments, with monthly rents nearly *** U.S. dollars higher than in Hawaii. As of February 2021, renters in District of Columbia paid on average ***** U.S. dollars monthly for a studio apartment. In comparison, studios in Arkansas were approximately three times more affordable.

Between 2020 and 2021, the average monthly rent in the U.S. saw an overall increase. Nevertheless, this was not the case in some states that experienced dramatic negative rental growth.

Rent Inflation in the United States decreased to 3.60 percent in August from 3.70 percent in July of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

Graph and download economic data for Rental Vacancy Rate for the United States (USRVAC) from 1986 to 2024 about vacancy, rent, rate, and USA.

View quarterly updates and historical trends for US Rental Vacancy Rate. from United States. Source: Census Bureau. Track economic data with YCharts analy…

Context of the project Knowledge of the level of rents is important to ensure the proper functioning of the rental market and the conduct of national and local housing policies. In 2018, the Directorate-General for Planning, Housing and Nature (DGALN) launched the “rent map” project by partnering with a research team in economics from Agrosup Dijon and the Institut national de la recherche en agronomique (INRAE) and SeLoger and leboncoin. In 2020, the project was taken over by the National Agency for Housing Information (ANIL), which published, in 2022 and 2023, new versions of the map. This innovative partnership has made it possible to rebuild a database with 8 million rental ads. Based on these data, the research team and ANIL have developed a methodology for estimating indicators, at the municipal level, of rent (including charges) per m² for apartments and houses. These experimental indicators are put online in order to be usable by all: State services, local authorities, real estate professionals, private landlords and tenants. Starting in 2022, the maps are updated and published annually by ANIL. This project provides additional information to that offered by the Local Observatories of Homes (OLL), deployed since 2013 and reinforced since 2018 by the Elan Law. Today, this associative network of about thirty OLL publishes each year precise information on rents charged in about fifty French agglomerations. Presentation of the dataset The data disseminated are indicators of ad rents, at the municipal level. The field covered is the entire France, outside of Mayotte. The geography of the municipalities is the one in force on January 1, 2023. Rent indicators are calculated through the use of ad data published on the Leboncoin and SeLoger Group platforms over the period 2018-2023. Rent indicators are provided inclusive of standard leased property leased empty and leased in Q3 2023 with the following reference characteristics: — For an apartment (all types): area of 52 m² and average area per room of 22.2 m² — For apartment type T1-T2: area of 37 m² and average area per room of 23.0 m² — For apartment type T3 and more: area of 72 m² and average area per room of 21.2 m² — For a house: surface area of 92 m² and average area per room of 22.4 m² Conditions for use of data These indicators are freely usable, provided that the source is mentioned in the following form: “Anil estimates, based on data from the SeLoger Group and leboncoin”. Precautions for use The rent indicators are calculated charges included, on unfurnished ad data. The data were duplicated but without being able to rely on highly discriminatory photos and features. The mesh size method implies, for municipalities without rented accommodation via an advertisement on at least one of the two platforms over the period in question, that the rent indicator is that estimated for a larger mesh comprising neighbouring municipalities with similar characteristics. Users are advised to consider with caution rent indicators in municipalities where the coefficient of determination (R2) is less than 0.5, the number of observations in the municipality is less than 30 or the prediction interval is very wide. Moreover, compared to the previous version of the indicators published in 2022, this new map makes it possible to compare rents only in cases where indicators are calculated at municipal level in both 2022 and 2023.

In California, the estimated fair market rent for a two-bedroom accommodation amounted to ******U.S. dollars in 2025. It was one of the least affordable states in terms of housing that year, as someone would need to earn at least twice the minimum wage to afford a two-bedroom rental unit there.

Context of the project Knowledge of the level of rents is important to ensure the proper functioning of the rental market and the conduct of national and local housing policies. The Directorate-General for Planning, Housing and Nature (DGALN) launched in 2018 the “rent map” project by partnering on the one hand with a research team in economics of Agrosup Dijon and the National Institute of Research in Agronomics (INRAE), and on the other hand with SeLoger and leboncoin. In 2020, the project was taken over by the National Agency for Housing Information (ANIL), which published a new version of the map in 2022. This innovative partnership has rebuilt a database with more than 7 million rental ads. On the basis of these data, the research team and ANIL have developed a methodology for estimating indicators, at the communal scale, of rent (including charges) per m² for apartments and houses. These experimental indicators are put online in order to be usable by all: state services, local authorities, real estate professionals, private donors and tenants. From 2022, the maps are updated and published annually by ANIL. This project provides additional information to that offered by the Local Land Observatorys (OLL), deployed since 2013 and reinforced since 2018 by the Elan law. Today, this associative network of around thirty OLs publishes precise information every year on rents in some 50 French agglomerations. Presentation of the dataset The data disseminated are indicators of ad rents, at the level of the municipality. The field covered is the whole of France, outside of Mayotte. The geography of the municipalities is that in force on 1 January 2022. Rent indicators are calculated through the use of ad data published on the platforms of leboncoin and Groupe SeLoger over the period -2018-2022. Rent indicators are provided including charges for empty leased standard properties and leased in Q3 2022 with the following reference characteristics: — For an apartment (all types combined): 52 m² and average area per room of 22.2 m² — For apartment type T1-T2: surface area of 37 m² and average area per room of 22.9 m² — For apartment type T3 or more: area of 72 m² and average area per room of 21.2 m² — For a house: area of 92 m² and average area per room of 22.3 m² Conditions for data use These indicators can be freely used, provided that the source is indicated as follows: ANIL estimates, based on data from the SeLoger Group and leboncoin. Precautions of employment Rent indicators are calculated on unfurnished property and expenses included, on ad data. The data were duplicated but could not rely on very discriminating photos and characteristics. The method of meshing implies, for municipalities with no dwellings rented via an advertisement on at least one of the two sites during the period considered, which rent indicator is that estimated for a larger mesh comprising neighbouring municipalities with similar characteristics. Users are advised to consider rent indicators with caution in municipalities where the coefficient of determination (R2) is less than 0.5, the number of observations in the municipality is less than 30 or the prediction interval is very wide. **In addition, compared to the previous version of the indicators published in 2020, this new map does not allow to measure changes in rent, due to differences in the communal mesh size and changes in methodology. **

A more recent version of these indicators can be found on this page: https://www.data.gouv.fr/fr/datasets/carte-des-loyers-indicateurs-de-loyers-dannonce-par-commune-en-2022/ Due to the evolution of the methodology and the communal mesh size, successive versions of the indicators cannot be compared to provide information on the evolution of rents. ### Context of the project Knowledge of the level of rents is important to ensure the proper functioning of the rental market and the conduct of national and local housing policies. The Directorate-General for Planning, Housing and Nature (DGALN) launched in 2018 the “rent map” project by partnering on the one hand with a research team in economics of Agrosup Dijon and the National Institute of Research in Agronomics (INRAE), and on the other hand with SeLoger, leboncoin and PAP. This innovative partnership has rebuilt a database with more than 9 million rental ads. On the basis of these data, the research team developed a methodology for estimating indicators, at the communal scale, of rent (including charges) per m² for apartments and houses. These experimental indicators are put online in order to be usable by all: state services, local authorities, real estate professionals, private donors and tenants. In a second phase of the project, the methodology will need to be consolidated and sustained, in order to provide for a regular update of these indicators. This project provides additional information to that offered by the Local Land Observatorys (OLL), deployed since 2013 and reinforced since 2018 by the Elan law. Today, this associative network of 30 OLL publishes every year precise information on the rents practiced in 51 of the main French agglomerations. ### Presentation of the dataset The data disseminated are indicators of ad rents, at the level of the municipality. The field covered is the whole of France, outside of Mayotte. The geography of the municipalities is the one in force on 1 January 2017. Rent indicators are calculated using ad data published on leboncoin, SeLoger and PAP over the period 2015-2019. Rent indicators are provided including charges for standard properties leased in the 3 rd quarter of 2018 with the following reference characteristics: — For an apartment: 49 m² and average area per room of 22.1 m² — For a house: 92 m² area and average area per room of 22.5 m² ### Data terms and conditions These indicators can be freely used, provided that the source is indicated as follows: “UMR 1041 CESAER estimates (AgroSup Dijon-INRAE) from SeLoger, leboncoin, PAP”. ### Precautions for use Rent indicators are calculated including charges, on ad data, so measure flow rents only. The data were duplicated but could not rely on very discriminating photos and characteristics. For municipalities with no housing leased through an advertisement on at least one of the three sites during the period considered, the rent indicator is that estimated for a larger grid comprising neighbouring municipalities with similar characteristics. Moreover, since the data do not make it possible to distinguish with certainty furnished and tourist rentals, biases in the rent indicators can be observed locally. Users are advised to consider rent indicators with caution in municipalities where the coefficient of determination (R2) is less than 0.5, the number of observations in the municipality is less than 30 or the prediction interval is very wide.

D.C.'s median rent for a one bedroom apartment stands at $2,495, significantly higher than the national median rent of approximately $1,567. Click on different U.S. cities to see the median rent for a one bedroom apartment2.The map on the left side shows the percentage of people by census tract that are considered "cost burdened" by housing costs, by paying 30% or more of their household income on rent and utilities3. The map on the right side shows the median household income by census tract4. You can click on the "list" icon in the lower left corner to see the map legend, and meanings of map symbology. Areas that are cost burdened are often areas with the lowest median household incomes. There are also areas in wards where median incomes are high, but the cost of living is also high, leading to a greater cost burden.

This is the mean (average) gross monthly rent in pounds for properties with one bedroom on the private rental market for the area, over a 12 month period. These are self-contained properties including houses, bungalows, flats and maisonettes. These statistics taken from the Valuation Office Agency (VOA) administrative database are simple price averages rounded to the nearest £1. The sample used to produce these statistics is not statistical and may not be consistent over time; as such, these data should not be compared across time periods or between areas. Housing Benefit claimants are not included in the sample.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

Zillow Observed Rent Index (ZORI): A smoothed measure of the typical observed market rate rent across a given region. ZORI is a repeat-rent index that is weighted to the rental housing stock to ensure representativeness across the entire market, not just those homes currently listed for-rent. The index is dollar-denominated by computing the mean of listed rents that fall into the 35th to 65th percentile range for all homes and apartments in a given region, which is weighted to reflect the rental housing stock.

ZORI is created for three different categories: All homes, Single Family Residences, and Multi-Family Residences. For more detailed information, you can refer to the ZORI methodology.

Zillow Observed Renter Demand Index (ZORDI): A measure of the typical observed rental market engagement across a region. ZORDI tracks engagement on Zillow’s rental listings to proxy changes in rental demand. The metric is smoothed to remove volatility.

ZORDI is created for different categories including All homes, Single Family Residences, Condo and Multi-Family Residences at national and MSA levels.

In District of Columbia, the average rent per square foot was **** U.S. dollars in 2018, whereas renters in Oregon were expected to pay half as much in rent per square foot. DC was the most expensive state for renters, followed by New York, Hawaii, Massachusetts and California. Why is DC so expensive? District of Columbia is the center of the U.S. political system with all three branches of federal government sitting there: Congress (legislative), President (executive) and the Supreme Court (judicial). The above average household incomes of its residents mean that high rents are still sustainable for the rental market. Limited space in DC DC has the largest share of apartment dwellers in the country. This is most likely due to limited space, as the federal district has a much higher population density than the states. The political importance of DC and the high population density suggest that the federal district is likely to retain its spot as the most expensive rental market in the future.