Rent Inflation in the United States decreased to 3.70 percent in July from 3.80 percent in June of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in Size Class A (CUURA000SEHA) from Dec 1986 to Jul 2025 about primary, rent, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

This dataset provides values for RENT INFLATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Rent Inflation in Germany remained unchanged at 2.10 percent in July. This dataset includes a chart with historical data for Germany Rent Inflation.

Rents in the United States declined year-on-year for the first time in June 2023, after surging for two years in a row. In November 2021, rents soared by over ** percent annually — the highest increase on record, and in August 2022, the average rental price reached an all-time high of over ***** U.S. dollars. Rental growth has since mellowed, with January 2025 recording a decline of about *** percent from the same period one year ago. Despite the softening of the market, many states still experienced rising rents.

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.

Rent Inflation in Denmark remained unchanged at 2.20 percent in July. This dataset includes a chart with historical data for Denmark Rent Inflation.

In Greece, rents paid for housing experienced significant fluctuations between 2011 and 2023. After a period of decreasing rents from 2012 to 2018, prices remained stable between 2019 and 2020 before increasing again starting in 2021. In 2023, the nominal growth in rents paid for housing peaked at **** percent, while the real change (adjusted for inflation) amounted to **** percent.

Rents paid for housing in Israel increased year-on-year between 2011 and 2023. Nevertheless, the inflation-adjusted change was negative between 2021 and 2022, suggesting that rents grew at a slower rate than inflation. In 2023, the nominal growth in rent prices amounted to **** percent, while the real change (adjusted for inflation) amounted to **** percent.

Rents paid for housing in Turkey increased year-on-year between 2011 and 2023. Nevertheless, the inflation-adjusted change was negative between 2011 and 2022, except in 2016, suggesting that rents grew at a slower rate than inflation. In 2023, the nominal increase in rents paid for housing amounted to ***** percent, while the real change (adjusted for inflation) was recorded at ***** percent. Moreover, in terms of the affordability of owning housing over renting, the gap in the country was ranked highest in Europe in the first quarter of 2024.

Rents paid for housing in Denmark experienced a year-on-year increase between 2011 and 2023. However, the inflation-adjusted change was negative between 2021 and 2023, indicating that rents grew at a slower rate than inflation during this period. In 2023, the nominal increase in rents paid for housing rose to **** percent, whereas the real change (adjusted for inflation) was recorded at a negative **** percent.

Rents paid for housing in Spain increased year-on-year between 2017 and 2023, after a four-year period of decline. In 2023, the nominal increase in rents paid for housing amounted to **** percent, while the real change (adjusted for inflation) recorded was negative **** percent. The negative inflation-adjusted figures, despite the increase in nominal rents, imply that rents grew at a slower rate than inflation.

Graph and download economic data for Producer Price Index by Commodity: Real Estate Services (Partial): Retail Properties, Gross Rents (WPU431102) from Apr 2009 to Jul 2025 about rent, real estate, gross, retail, services, commodities, PPI, inflation, price index, indexes, price, and USA.

Rent Inflation in Japan remained unchanged at 0.30 percent in July. This dataset includes a chart with historical data for Japan Rent Inflation.

Rents paid for housing in Colombia increased year-on-year between 2011 and 2023. Nevertheless, the inflation-adjusted change was negative from 2015 onwards, suggesting that rents grew at a slower rate than inflation. In 2023, the nominal increase in rents paid for housing amounted to **** percent, while the real change (adjusted for inflation) was recorded at a negative **** percent.

Rental rates of high street and shopping center properties in the UK declined in the first quarter of 2025. Net effective rents fell by *** percent from the previous quarter, while headline rents declined by *** percent. Prime retail rents in Europe are forecast to rise by 2026, with the UK seeing faster growth than the rest of the region.

Rent Inflation in China remained unchanged at -0.10 percent in July. This dataset includes a chart with historical data for China Rent Inflation.

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.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Rent of Primary Residence in Miami-Fort Lauderdale-West Palm Beach, FL (CBSA) (CUURA320SEHA) from Nov 1977 to Jul 2025 about Miami, primary, rent, FL, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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 more slowly 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 stubbornly high in 2025, encouraging consumers to rent. Revenue has climbed at a CAGR of 2.6% over the past five years and is expected to reach $295.3 billion by the end of 2025. This includes an anticipated 1.4% 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 will be shaped by varying factors. The apartment supply in the US, which hit a record in 2024, is expected to taper off, which will push rental prices and occupancy rates up to the lessors' benefit. Other factors, such as interest rate cuts, decreasing financial barriers to homeownership and a high rate of urbanization, will also significantly impact the industry. With an estimated 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 1.7% over the next five years, reaching an estimated $321.9 billion in 2030.