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.

Renting data center space in the United States has been becoming increasingly pricier since 2021. Fueled by soaring demand due to the rise of artificial intelligence (AI), the average monthly rent per kilowatt increased from ****** U.S. dollars in 2021 to ****** U.S. dollars in 2024.

VITAL SIGNS INDICATOR
Rent Payments (EC8)

FULL MEASURE NAME
Median rent payment

LAST UPDATED
January 2023

DESCRIPTION
Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

DATA SOURCE
U.S. Census Bureau: Decennial Census - https://nhgis.org
Count 2 (1970)
Form STF1 (1980-1990)
Form SF3a (2000)

U.S. Census Bureau: American Community Survey - https://data.census.gov/
Form B25058 (2005-2021; median contract rent)

Bureau of Labor Statistics: Consumer Price Index - https://www.bls.gov/data/
1970-2021

CONTACT INFORMATION
vitalsigns.info@mtc.ca.gov

METHODOLOGY NOTES (across all datasets for this indicator)
Rent data reflects median rent payments rather than list rents (refer to measure definition above). American Community Survey 1-year data is used for larger geographies – Bay counties and most metropolitan area counties – while smaller geographies rely upon 5-year rolling average data due to their smaller sample sizes. Note that 2020 data uses the 5-year estimates because the ACS did not collect 1-year data for 2020.

1970 Census data for median rent payments has been imputed from quintiles using methodology from California Department of Finance as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index (CPI) 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.

The cost of renting data center space in the United States has soared since 2020. In 2024, the average asking per kilowatt rose by **** percent, marking the third consecutive year of double-digit increase. Escalating costs for power, labor, and equipment were some of the main reasons for the price increase.

In the second half of 2024, the average monthly per kilowatt rent of data centers in the Silicon Valley in the United States was between *** U.S. dollars and *** U.S. dollars. Northern Virginia, which is the market with the largest data center inventory and the most new capacity under construction, had monthly rent between *** and *** U.S. dollars.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2023 American Community Survey 1-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..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 roughly 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 ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Households not paying cash rent are excluded from the calculation of median gross rent..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

The Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.

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.

Price to Rent Ratio in the United States increased to 134.20 in the fourth quarter of 2024 from 133.60 in the third quarter of 2024. This dataset includes a chart with historical data for the United States Price to Rent Ratio.

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.

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.

View quarterly updates and historical trends for US Median Asking Rent. from United States. Source: Census Bureau. Track economic data with YCharts analyt…

United States US: Price to Rent Ratio: sa data was reported at 134.118 2015=100 in 2024. This records an increase from the previous number of 133.710 2015=100 for 2023. United States US: Price to Rent Ratio: sa data is updated yearly, averaging 99.069 2015=100 from Dec 1970 (Median) to 2024, with 55 observations. The data reached an all-time high of 137.672 2015=100 in 2022 and a record low of 89.669 2015=100 in 1997. United States US: Price to Rent Ratio: sa data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Annual. Nominal house prices divided by rent price indices

The median value of gross rent prices in an area, measured in dollars

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Shelter makes up one-third of the Consumer Price Index (CPI) and is important to understanding inflation developments. Comparing two measures of shelter prices—the official U.S. Bureau of Labor Statistics (BLS) dataset and the Zillow rental price index—shows that the Zillow series leads the BLS series by about six to 10 months. Changes in the Zillow series should eventually be reflected in the BLS data, so any positive gap between the two suggests that tighter monetary conditions may be needed to lower CPI inflation.

Mexico was one of the economies where house prices increased the most between 2016 and 2024, rising by nearly ** percent during that period. The growth rate of housing prices from 2015 to 2023 in Russia was even higher, but the 2024 data for that country was not yet available. Meanwhile, Poland and the U.S. were among the countries where rents increased the most from 2016 to 2024.

The average data center rental cost in Europe in the second half of 2023 declined slightly, after soaring in the same period a year ago. A 10 kW lease cost approximately ***** U.S. dollars per kW, up from ***** U.S. dollars per kW at the beginning of 2022.

Data about the average market rent for one and two bedroom apartments in San Mateo County. This dataset includes apartment vacancy rates and the US Housing and Urban Development Department's fair market rent for each quarter.