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 Sep 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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.

The average monthly rent of apartments in Florida increased substantially in 2021, followed by two years of slight decrease. As of ********, the average rent of a two-bedroom apartment in Florida cost ***** U.S. dollars, which was an increase of *** U.S. dollars from ******** when prices started to rise.

Displacement risk indicator classifying census tracts according to apartment rent prices in census tracts. We classify apartment rent along two dimensions: The average rents within the census tract for the specified year, balancing between nominal rental price and rental price per square foot.The change in average rent price (again balanced between nominal rent price and price per square foot) from the previous year.Note: Average rent calculations include market-rate and mixed-income multifamily apartment properties with 5 or more rental units in Seattle, excluding special types like student, senior, corporate or military housing. Source: Data from CoStar Group, www.costar.com, prepared by City of Seattle, Office of Planning and Community Development

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.

VITAL SIGNS INDICATOR List Rents (EC9)

FULL MEASURE NAME List Rents

LAST UPDATED October 2016

DESCRIPTION List rent refers to the advertised rents for available rental housing and serves as a measure of housing costs for new households moving into a neighborhood, city, county or region.

DATA SOURCE real Answers (1994 – 2015) no link

Zillow Metro Median Listing Price All Homes (2010-2016) http://www.zillow.com/research/data/

CONTACT INFORMATION vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator) List rents data reflects median rent prices advertised for available apartments rather than median rent payments; more information is available in the indicator definition above. Regional and local geographies rely on data collected by real Answers, a research organization and database publisher specializing in the multifamily housing market. real Answers focuses on collecting longitudinal data for individual rental properties through quarterly surveys. For the Bay Area, their database is comprised of properties with 40 to 3,000+ housing units. Median list prices most likely have an upward bias due to the exclusion of smaller properties. The bias may be most extreme in geographies where large rental properties represent a small portion of the overall rental market. A map of the individual properties surveyed is included in the Local Focus section.

Individual properties surveyed provided lower- and upper-bound ranges for the various types of housing available (studio, 1 bedroom, 2 bedroom, etc.). Median lower- and upper-bound prices are determined across all housing types for the regional and county geographies. The median list price represented in Vital Signs is the average of the median lower- and upper-bound prices for the region and counties. Median upper-bound prices are determined across all housing types for the city geographies. The median list price represented in Vital Signs is the median upper-bound price for cities. For simplicity, only the mean list rent is displayed for the individual properties. The metro areas geography rely upon Zillow data, which is the median price for rentals listed through www.zillow.com during the month. Like the real Answers data, Zillow's median list prices most likely have an upward bias since small properties are underrepresented in Zillow's listings. The metro area data for the Bay Area cannot be compared to the regional Bay Area data. Due to afore mentioned data limitations, this data is suitable for analyzing the change in list rents over time but not necessarily comparisons of absolute list rents. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Due to the limited number of rental properties surveyed, city-level data is unavailable for Atherton, Belvedere, Brisbane, Calistoga, Clayton, Cloverdale, Cotati, Fairfax, Half Moon Bay, Healdsburg, Hillsborough, Los Altos Hills, Monte Sereno, Moranga, Oakley, Orinda, Portola Valley, Rio Vista, Ross, San Anselmo, San Carlos, Saratoga, Sebastopol, Windsor, Woodside, and Yountville.

Inflation-adjusted data are presented to illustrate how rents have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself. Percent change in inflation-adjusted median is calculated with respect to the median price from the fourth quarter or December of the base year.

Average asking rent price in select Census Metropolitan Areas by rental unit type. The breakdown by number of bedrooms is provided only for apartments. The results are based on an experimental approach, meaning they are derived from recent methodologies and may be subject to revisions. Quarterly data are available starting from the first quarter of 2019.

Context This dataset is a translated version from here. The original dataset says that it was parsed from National Bank data.

https://dane.gov.pl/pl/dataset/1832,ceny-mieszkan-i-domow-w-gdansku/resource/22183/table

It contains the data for specific cities: Warsaw, Krakow, Wroclaw, Gdansk, Gdynia, Katowice, Poznan, Lodz, Opole, Bydgoszcz, Kielce, Szczecin, Lublin, Rzeszow, Bialystok, Olsztyn, Zielona Gora.

Content - Quarter: year and a quarter - City - Price Type: transactional price (the price by which houses were sold), offer price (the price in public offers) - Price: price in Polish Zloty per square meter

Apartments of more than ** square meters on the primary and secondary market were the most expensive in the capital city of Poland, Warsaw, as of December 2024. The average price for a >** sqm apartment in Warsaw on the secondary market amounted to ****** zloty per sqm.

Correction coefficients are used to ensure equality of purchasing power of salaries of EU officials in the different duty stations. They are calculated as the ratio between the “economic parity” and the exchange rate to the Euro (where applicable). They operate as a percentage adjustment to remuneration expressed in local currency.

The method used to establish economic parities is to compare the price of a basket of goods and services purchased by the average retired international official in Belgium with the price of an equivalent basket of goods and services purchased by the average retired international official in each of the other countries.

The rent paid for an apartment or house, due to its high weight in the total household expenditure structure, plays a significant role in determining the overall correction coefficient.

Consequently, specific rent surveys are carried out annually in cooperation with relevant real estate agencies. The information obtained, and that derived from similar surveys in previous years, is used to determine the difference in rental prices between Brussels and each of the other locations where the survey is carried out, in rental prices for the same type of dwelling.

The scope of these surveys is to compare the average market rent for some specific kinds of dwellings in some pre-specified representative areas of Brussels with similar dwellings in similar (representative and comparable) areas in other EU capitals and duty stations.

The estate agency rent surveys (EARS) are organised jointly by Eurostat, the International Service for Remunerations and Pensions (ISRP) of the Co-ordinated Organisations and national statistical institutes (NSI) in each duty station, including Brussels, with the collaboration of estate agents in the duty stations concerned.

The work is done in accordance with a methodology approved by the Expert Working Group on Articles 64 & 65 of the Staff Regulations.
Whilst this rent information is collected for a specific purpose, according to a specific methodology, it may also be relevant for other purposes.

Average Apartment Price: PS: Standard Apartments: NC: Chechen Republic data was reported at 80,726.280 RUB/sq m in Dec 2024. This records an increase from the previous number of 79,418.520 RUB/sq m for Sep 2024. Average Apartment Price: PS: Standard Apartments: NC: Chechen Republic data is updated quarterly, averaging 41,488.080 RUB/sq m from Mar 2010 (Median) to Dec 2024, with 60 observations. The data reached an all-time high of 80,726.280 RUB/sq m in Dec 2024 and a record low of 12,136.000 RUB/sq m in Dec 2010. Average Apartment Price: PS: Standard Apartments: NC: Chechen Republic data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EB032: Average Apartment Price: Primary Sales (PS): by Region.

Amsterdam is set to maintain its position as Europe's most expensive city for apartment rentals in 2025, with median costs reaching 2,500 euros per month for a furnished unit. This figure is double the rent in Prague and significantly higher than other major European capitals like Paris, Berlin, and Madrid. The stark difference in rental costs across European cities reflects broader economic trends, housing policies, and the complex interplay between supply and demand in urban centers. Factors driving rental costs across Europe The disparity in rental prices across European cities can be attributed to various factors. In countries like Switzerland, Germany, and Austria, a higher proportion of the population lives in rental housing. This trend contributes to increased demand and potentially higher living costs in these nations. Conversely, many Eastern and Southern European countries have homeownership rates exceeding 90 percent, which may help keep rental prices lower in those regions. Housing affordability and market dynamics The relationship between housing prices and rental rates varies significantly across Europe. As of 2024, countries like Turkey, Iceland, Portugal, and Hungary had the highest house price to rent ratio indices. This indicates a widening gap between property values and rental costs since 2015. The affordability of homeownership versus renting differs greatly among European nations, with some countries experiencing rapid increases in property values that outpace rental growth. These market dynamics influence rental costs and contribute to the diverse rental landscape observed across European cities.

Average Apartment Price: Primary Sale: Moscow data was reported at 352,661.150 RUB/sq m in Dec 2024. This records an increase from the previous number of 345,405.830 RUB/sq m for Sep 2024. Average Apartment Price: Primary Sale: Moscow data is updated quarterly, averaging 142,018.230 RUB/sq m from Mar 2000 (Median) to Dec 2024, with 100 observations. The data reached an all-time high of 374,657.730 RUB/sq m in Dec 2022 and a record low of 15,714.960 RUB/sq m in Jun 2000. Average Apartment Price: Primary Sale: Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EF001: Average Apartment Price: Primary Sale.

A list of job applications filed for a particular day and associated data. Prior weekly and monthly reports are archived at DOB and are not available on NYC Open Data.

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Measured in €

Average Apartment Price: SS: Standard Apartments: NC: Republic of Dagestan data was reported at 87,473.390 RUB/sq m in Dec 2024. This records an increase from the previous number of 87,027.370 RUB/sq m for Sep 2024. Average Apartment Price: SS: Standard Apartments: NC: Republic of Dagestan data is updated quarterly, averaging 37,091.045 RUB/sq m from Mar 2000 (Median) to Dec 2024, with 100 observations. The data reached an all-time high of 88,246.430 RUB/sq m in Dec 2023 and a record low of 4,498.110 RUB/sq m in Sep 2000. Average Apartment Price: SS: Standard Apartments: NC: Republic of Dagestan data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EF006: Average Apartment Price: by Region: Secondary Sale.

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Measured in €

Average house prices are derived from data supplied by the mortgage lending agencies on loans approved by them rather than loans paid. In comparing house prices figures from one period to another, account should be taken of the fact that changes in the mix of houses (incl apartments) will affect the average figures. The most current data is published on these sheets. Previously published data may be subject to revision. Any change from the originally published data will be highlighted by a comment on the cell in question. These comments will be maintained for at least a year after the date of the value change. Measured in EUR

Virginia (VA) has the 19th highest rent in the country out of 56 states and territories. The Fair Market Rent in Virginia ranges from $701 for a 2-bedroom apartment in Grayson County, VA to $1,765 for a 2-bedroom unit in Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area.

For FY 2024, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $1,772 per month and $3,015 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,056 per month.

Approximately 15% of Americans qualify for some level of housing assistance. The population in Virginia is around 2,038,847 people. So, there are around 305,827 people in Virginia who could be receiving housing benefits from the HUD. For FY 2025, the Washington-Arlington-Alexandria, DC-VA-MD HUD Metro FMR Area (Arlington County) rent for a studio or efficiency is $2,012 per month and $3,413 per month to rent a house or an apartment with 4 bedrooms. The average Fair Market Rent for a 2-bedroom home in Virginia is $1,059 per month.

Average Apartment Price: SS: Standard Apartments: FE: Khabarovsk Territory data was reported at 117,006.580 RUB/sq m in Dec 2024. This records an increase from the previous number of 112,156.130 RUB/sq m for Sep 2024. Average Apartment Price: SS: Standard Apartments: FE: Khabarovsk Territory data is updated quarterly, averaging 54,633.215 RUB/sq m from Mar 2000 (Median) to Dec 2024, with 100 observations. The data reached an all-time high of 117,006.580 RUB/sq m in Dec 2024 and a record low of 4,863.690 RUB/sq m in Sep 2000. Average Apartment Price: SS: Standard Apartments: FE: Khabarovsk Territory data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.EF006: Average Apartment Price: by Region: Secondary Sale.