The average monthly rent of apartments in California increased substantially 2021, followed by a period of stabilization. In May 2024, the average rent of a two-bedroom apartment cost over ***** U.S. dollars, up from ***** U.S. dollars in December 2020 before rents started to rise. Nevertheless, not all cities saw rents rise at the same pace.

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.

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.

This statistic shows the average size of newly built two-bedroom apartments in the United States from 2008 to 2018. Two-bedroom apartments built in 2018 were, on average, ***** square feet, slightly up from ***** square feet in 2008.

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.

This statistic shows the average size of newly built one-bedroom apartments in the United States from 2008 to 2018. One-bedroom apartments built in 2018 were, on average, *** square feet, down from *** square feet in 2008.

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 ...).

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.

Original Source: - Apartment Rental: https://www.kaggle.com/datasets/adithyaawati/apartments-for-rent-classified - Crime Data: https://www.kaggle.com/datasets/michaelbryantds/crimedata

Apartment Rent amenities -- 'basic' or 'luxury' bathrooms -- number of bathrooms bedrooms -- number of bedrooms has_photo -- photo of apartment pets_allowed -- True / False price -- rental price of an apartment square_feet -- size of the apartment cityname -- where the apartment is located state -- where the apartment is located latitude -- where the apartment is located longitude -- where the apartment is located source -- origin web of sourced data time -- data was sourced, originally in Unix format

Crime population -- Mean Population of the area racepctblack, racePctWhite, racePctAsian, racePctHisp-- Social background percentage of the area medIncome, medFamInc-- Median income, Median income of total family murdPerPop, rapesPerPop, robbbPerPop, assaultPerPop, burglPerPop, larcPerPop, autoTheftPerPop, arsonsPerPop, ViolentCrimesPerPop, nonViolPerPop-- Average number of each type of crimes avg_crime

Construction activity, housing — Buildings and housing stock — Average housing size in m² in Kosel

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Regional data for Schleswig-Holstein

Statistical Office for Hamburg and Schleswig-Holstein

Henderson, Chesapeake, and Virginia Beach were the cities in the United States where the average size of rental apartments was the largest in 2024. In Henderson, NV, this measured at *** square feet, whereas in Seattle, WA, the average apartment was much smaller at *** square feet. When it comes to affordability, Wichita, KS, was the city where 1,500 U.S. dollars would get renters the largest apartment.

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.

Construction, Residential — Buildings and housing stock — Average apartment size in m² in Grande To the HTML offer of the time series Regional data for Schleswig-Holstein Statistical Office for Hamburg and Schleswig-Holstein

Construction activity, housing — Buildings and housing stock — Average housing size in m² in Dunsum

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Regional data for Schleswig-Holstein

Statistical Office for Hamburg and Schleswig-Holstein

Construction activity, housing — Buildings and housing stock — Average apartment size in m² in Damsdorf To the HTML offer of the time series Regional data for Schleswig-Holstein Statistical Office for Hamburg and Schleswig-Holstein

Construction activity, housing — Buildings and housing stock — Average apartment size in m² in Travenbrück To the HTML offer of the time series Regional data for Schleswig-Holstein Statistical Office for Hamburg and Schleswig-Holstein

This dataset contains detailed information about rental properties across various locations in the UK. The data was collected by scraping Rightmove, a popular real estate platform. Each entry in the dataset includes the property's address, subdistrict code, rental price, deposit amount, letting type, furnish type, council tax details, property type, number of bedrooms and bathrooms, size in square feet, average distance to the nearest train station, and the count of nearest stations.

Researchers and analysts interested in the UK rental market can utilize this dataset to explore rental trends, pricing variations based on location and property type, amenities preferences, and more. The dataset provides a valuable resource for machine learning models, statistical analysis, and market research in the real estate sector.

Metadata: Source: The data was collected by scraping the Rightmove real estate platform, a leading source for property listings in the UK. Date Range: The dataset covers rental property listings available during the scraping period. Geographical Coverage: Primarily focused on various locations across the UK, providing insights into regional rental markets. Data Fields: Address: The location of the rental property. Subdistrict Code: A code representing the subdistrict or area of the property. Rent: The monthly rental price in GBP (£) for the property. Deposit: The deposit amount required for renting the property. Let Type: Indicates whether the property is available for short-term or long-term rental. Furnish Type: Describes the furnishing status of the property (e.g., furnished, unfurnished, or flexible options). Council Tax: Information about the council tax associated with the property. Property Type: Specifies the type of property, such as apartment, flat, maisonette, etc. Bedrooms: The number of bedrooms in the property. Bathrooms: The number of bathrooms in the property. Size: The size of the property in square feet (sq ft). Average Distance to Nearest Station: The average distance (in miles) to the nearest train station from the property. Nearest Station Count: The count of nearest train stations within a certain distance from the property. Data Quality: The data may contain missing values or "Ask agent" placeholders, which require direct inquiry with agents or landlords for specific information. Potential Uses: The dataset can be used for market analysis, rental price prediction models, understanding property preferences, and exploring the impact of location and amenities on rental properties in the UK.

Construction activity, housing — Buildings and housing stock — Average housing size in m² in Dahme

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Regional data for Schleswig-Holstein

Statistical Office for Hamburg and Schleswig-Holstein

Construction activity, housing — Buildings and housing stock — Average apartment size in m² in Schnakenbek

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Regional data for Schleswig-Holstein

Statistical Office for Hamburg and Schleswig-Holstein

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.