53 datasets found
  1. F

    Consumer Price Index for All Urban Consumers: Rent of Primary Residence in...

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

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

  2. T

    Vital Signs: Rent Payments – by city (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Feb 1, 2023
    + more versions
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    (2023). Vital Signs: Rent Payments – by city (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Rent-Payments-by-city-2022-/wjgr-k4g6
    Explore at:
    csv, tsv, application/rdfxml, xml, json, application/rssxmlAvailable download formats
    Dataset updated
    Feb 1, 2023
    Description

    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.

  3. Rent Prices in European cities

    • kaggle.com
    Updated Aug 22, 2024
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    Te_Jota (2024). Rent Prices in European cities [Dataset]. https://www.kaggle.com/datasets/tejota/rent-prices-in-european-cities/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 22, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Te_Jota
    Area covered
    Europe
    Description

    Average rent per month in cities by type of dwelling

    Source of data: Eurostat

    Online data code: prc_colc_rent

    Last update: 11/12/2023 22:00

  4. M

    Vital Signs: List Rents – by city

    • open-data-demo.mtc.ca.gov
    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jan 19, 2017
    + more versions
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    real Answers (2017). Vital Signs: List Rents – by city [Dataset]. https://open-data-demo.mtc.ca.gov/dataset/Vital-Signs-List-Rents-by-city/vpmm-yh3p/about
    Explore at:
    tsv, csv, json, xml, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 19, 2017
    Dataset authored and provided by
    real Answers
    Description

    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.

  5. Price Index of Private Rents, UK: monthly price statistics

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jul 16, 2025
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    Office for National Statistics (2025). Price Index of Private Rents, UK: monthly price statistics [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/priceindexofprivaterentsukmonthlypricestatistics
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Private rent price statistics, including indices, annual percentage change and price levels.

  6. Index of Private Housing Rental Prices, UK: monthly estimates

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Feb 14, 2024
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    Office for National Statistics (2024). Index of Private Housing Rental Prices, UK: monthly estimates [Dataset]. https://www.ons.gov.uk/economy/inflationandpriceindices/datasets/indexofprivatehousingrentalpricesreferencetables
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 14, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Rental price statistics historical data time series (indices and annual percentage change). These are official statistics in development.

  7. Canada Mortgage and Housing Corporation, average rents for areas with a...

    • www150.statcan.gc.ca
    • datasets.ai
    • +3more
    Updated Feb 4, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Canada Mortgage and Housing Corporation, average rents for areas with a population of 10,000 and over [Dataset]. http://doi.org/10.25318/3410013301-eng
    Explore at:
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    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 ...).

  8. T

    United States Rent Inflation

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Rent Inflation [Dataset]. https://tradingeconomics.com/united-states/rent-inflation
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1954 - Jun 30, 2025
    Area covered
    United States
    Description

    Rent Inflation in the United States decreased to 3.80 percent in June from 3.90 percent in May of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

  9. Sao Paulo housing prices

    • kaggle.com
    Updated May 2, 2023
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    RenatoSN (2023). Sao Paulo housing prices [Dataset]. https://www.kaggle.com/datasets/renatosn/sao-paulo-housing-prices/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 2, 2023
    Dataset provided by
    Kaggle
    Authors
    RenatoSN
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    São Paulo
    Description

    This dataset contains information about rental properties in São Paulo, Brazil. The data was extracted from the QuintoAndar platform using web scraping techniques on May 1st, 2023. The dataset includes several useful pieces of information, such as the property's address, district, area, number of bedrooms, garage availability, monthly rent, type of property, and total cost.

    The dataset can be used for various analyses, such as understanding the average rental prices in different districts or identifying the most common types of properties in certain areas. Additionally, the data can be used to train machine learning models that predict rental prices based on property characteristics.

    It's important to note that since the data was obtained through web scraping techniques, there may be errors or incomplete information. Therefore, it's recommended that users of the dataset verify the information before using it for analysis or model training. Nevertheless, this dataset is a valuable source of information for anyone interested in analyzing the real estate market in São Paulo.

    Link of the webscrapping project: QuintoAndar-WebScrapping

    GitHub LinkedIn

    Este conjunto de dados contém informações sobre aluguel de imóveis em São Paulo, Brasil. Os dados foram extraídos da plataforma QuintoAndar usando técnicas de web scraping em 1º de maio de 2023. O conjunto de dados inclui várias informações úteis, como o endereço do imóvel, o bairro, a área, o número de quartos, a disponibilidade de garagem, o preço mensal do aluguel, o tipo de imóvel e o custo total.

    O conjunto de dados pode ser usado para diversas análises, como entender os preços médios de aluguel em diferentes bairros ou identificar os tipos de imóveis mais comuns em determinadas áreas. Além disso, os dados podem ser usados para treinar modelos de aprendizado de máquina que prevejam os preços de aluguel com base nas características do imóvel.

    É importante observar que, como os dados foram obtidos por meio de técnicas de web scraping, pode haver erros ou informações incompletas. Portanto, é recomendável que os usuários do conjunto de dados verifiquem as informações antes de usá-las para análises ou treinamento de modelos. No entanto, este conjunto de dados é uma fonte valiosa de informações para quem está interessado em analisar o mercado imobiliário em São Paulo.

    Link do projeto de WebScrapping: QuintoAndar-WebScrapping

    GitHub LinkedIn

  10. g

    Residential Rental Market Prices (RTB)

    • rdm.geohive.ie
    Updated Jan 19, 2022
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    rdm_curator (2022). Residential Rental Market Prices (RTB) [Dataset]. https://rdm.geohive.ie/items/6fbd997d0b6648ffa202d354073235d8
    Explore at:
    Dataset updated
    Jan 19, 2022
    Dataset authored and provided by
    rdm_curator
    Description

    Description: This data provides a range of statistics on residential rental prices. Data is available on average rental prices (€ per month) for property types by bedroom size – all bedrooms and then 1 to 4 bedrooms.The RTB Rent Index is the most accurate and authoritative report of its kind on the private rental sector in Ireland. The index is based on the RTB’s national register of tenancies and captures actual rents being paid for rented properties, rather than asking prices. The RTB Average Rent Dataset reports on the average rent in a number of locations around the country. The dashboards provide an annual view of transactions from 2008 to 2022.Geography available in RDM: State, Regional Assembly and Strategic Planning Area (SPA), County (26), Key Settlements.Source: Residential Tenancies Board (RTB)Weblink: https://data.cso.ie/table/RIQ02Date of last source data update: August 2023Update Schedule: Annual

  11. Private rental market summary statistics in England

    • ons.gov.uk
    • cy.ons.gov.uk
    xls
    Updated Dec 20, 2023
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    Office for National Statistics (2023). Private rental market summary statistics in England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/housing/datasets/privaterentalmarketsummarystatisticsinengland
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 20, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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.

  12. o

    Zillow Properties Listing Information Dataset

    • opendatabay.com
    .undefined
    Updated Jun 26, 2025
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    Bright Data (2025). Zillow Properties Listing Information Dataset [Dataset]. https://www.opendatabay.com/data/premium/0bdd01d7-1b5b-4005-bb73-345bc710c694
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Bright Data
    Area covered
    Urban Planning & Infrastructure
    Description

    Zillow Properties Listing dataset to access detailed real estate listings, including property prices, locations, and features. Popular use cases include market analysis, property valuation, and investment decision-making in the real estate sector.

    Use our Zillow Properties Listing Information dataset to access detailed real estate listings, including property features, pricing trends, and location insights. This dataset is perfect for real estate agents, investors, market analysts, and property developers looking to analyze housing markets, identify investment opportunities, and assess property values.

    Leverage this dataset to track pricing patterns, compare property features, and forecast market trends across different regions. Whether you're evaluating investment prospects or optimizing property listings, the Zillow Properties dataset offers essential information for making data-driven real estate decisions.

    Dataset Features

    • zpid: Unique property identifier assigned by Zillow.
    • city: The name of the city where the property is located.
    • state: The state in which the property is located.
    • homeStatus: Indicates the current status of the property
    • address: The full address of the property, including street, city, and state.
    • isListingClaimedByCurrentSignedInUser: This field shows if the current Zillow user has claimed ownership of the listing.
    • isCurrentSignedInAgentResponsible: This field indicates whether the currently signed-in real estate agent is responsible for the listing.
    • bedrooms: Number of bedrooms in the property.
    • bathrooms: Number of bathrooms in the property.
    • price: Current asking price of the property.
    • yearBuilt: The year the home was originally constructed.
    • streetAddress: Specific street address (usually excludes city/state/zip).
    • zipcode: The postal ZIP code of the property.
    • isCurrentSignedInUserVerifiedOwner: This field indicates if the signed-in user has verified ownership of the property on Zillow.
    • isVerifiedClaimedByCurrentSignedInUser: Indicates whether the user has claimed and verified the listing as the current owner.
    • listingDataSource: The original source of the listing. Important for data lineage and trustworthiness.
    • longitude: The longitudinal geographic coordinate of the property.
    • latitude: The latitudinal geographic coordinate of the property.
    • hasBadGeocode: This indicates whether the geolocation data is incorrect or problematic.
    • streetViewMetadataUrlMediaWallLatLong: A URL or reference to the Street View media wall based on latitude and longitude.
    • streetViewMetadataUrlMediaWallAddress: A similar URL reference to the Street View, but based on the property’s address.
    • streetViewServiceUrl: The base URL to Google Street View or similar services. Enables interactive visuals of the property’s surroundings.
    • livingArea: Total internal living area of the home, typically in square feet.
    • homeType: The category/type of the home.
    • lotSize: The size of the entire lot or land the home is situated on.
    • lotAreaValue: The numerical value representing the lot area is usually tied to a measurement unit.
    • lotAreaUnits: Units in which the lot area is measured (e.g., sqft, acres).
    • livingAreaValue: The numeric value of the property's interior living space.
    • livingAreaUnitsShort: Abbreviated unit for living area (e.g., sqft), useful for compact displays.
    • isUndisclosedAddress: Boolean indicating if the full property address is hidden, typically used for privacy reasons.
    • zestimate: Zillow’s estimated market value of the home, generated via its proprietary model.
    • rentZestimate: Zillow’s estimated rental price per month, is helpful for rental market analysis.
    • currency: Currency used for price, Zestimate, and rent estimate (e.g., USD).
    • hideZestimate: Indicates whether the Zestimate is hidden from public view.
    • dateSoldString: The date when the property was last sold, in string format (e.g., 2022-06-15).
    • taxAssessedValue: The most recent assessed value of the property for tax purposes.
    • taxAssessedYear: The year in which the property was last assessed.
    • country: The country where the property is located.
    • propertyTaxRate: The most recent tax rate.
    • photocount: This column provides a photo count of the property.
    • isPremierBuilder: Boolean indicating whether the builder is listed as a premier (trusted) builder on Zillow.
    • isZillowOwned: Indicates whether the property is owned or managed directly by Zillow.
    • ssid: A unique internal Zillow identifier for the listing (not to be confused with network SSID).
    • hdpUrl: URL to the home’s detail page on Zillow (Home Details Page).
    • tourViewCount: Number of times users have viewed the property tour.
    • hasPublicVideo: This
  13. d

    Rent Burden Greater than 50%

    • catalog.data.gov
    • data.seattle.gov
    Updated Jan 31, 2025
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    City of Seattle ArcGIS Online (2025). Rent Burden Greater than 50% [Dataset]. https://catalog.data.gov/dataset/rent-burden-greater-than-50-34b2f
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing how many households within the specified groups are facing severely housing cost burden (contributing more than 50% of monthly income toward housing costs).

  14. Apartment rent in the United States in 2025, by state

    • statista.com
    Updated May 13, 2025
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    Statista (2025). Apartment rent in the United States in 2025, by state [Dataset]. https://www.statista.com/statistics/1219332/average-apartment-rent-usa-by-state/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    United States
    Description

    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.

  15. A

    ‘ Zillow Housing Aspirations Report’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘ Zillow Housing Aspirations Report’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-zillow-housing-aspirations-report-28aa/30d4e5d5/?iid=000-068&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘ Zillow Housing Aspirations Report’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/zillow-housing-aspirations-reporte on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    About this dataset

    Additional Data Products

    Product: Zillow Housing Aspirations Report

    Date: April 2017

    Definitions

    Home Types and Housing Stock

    • All Homes: Zillow defines all homes as single-family, condominium and co-operative homes with a county record. Unless specified, all series cover this segment of the housing stock.
    • Condo/Co-op: Condominium and co-operative homes.
    • Multifamily 5+ units: Units in buildings with 5 or more housing units, that are not a condominiums or co-ops.
    • Duplex/Triplex: Housing units in buildings with 2 or 3 housing units.

    Additional Data Products

    • Zillow Home Value Forecast (ZHVF): The ZHVF is the one-year forecast of the ZHVI. Our forecast methodology is methodology post.
    • Zillow creates our negative equity data using our own data in conjunction with data received through our partnership with TransUnion, a leading credit bureau. We match estimated home values against actual outstanding home-related debt amounts provided by TransUnion. To read more about how we calculate our negative equity metrics, please see our here.
    • Cash Buyers: The share of homes in a given area purchased without financing/in cash. To read about how we calculate our cash buyer data, please see our research brief.
    • Mortgage Affordability, Rental Affordability, Price-to-Income Ratio, Historical ZHVI, Historical ZHVI and Houshold Income are calculated as a part of Zillow’s quarterly Affordability Indices. To calculate mortgage affordability, we first calculate the mortgage payment for the median-valued home in a metropolitan area by using the metro-level Zillow Home Value Index for a given quarter and the 30-year fixed mortgage interest rate during that time period, provided by the Freddie Mac Primary Mortgage Market Survey (based on a 20 percent down payment). Then, we consider what portion of the monthly median household income (U.S. Census) goes toward this monthly mortgage payment. Median household income is available with a lag. For quarters where median income is not available from the U.S. Census Bureau, we calculate future quarters of median household income by estimating it using the Bureau of Labor Statistics’ Employment Cost Index. The affordability forecast is calculated similarly to the current affordability index but uses the one year Zillow Home Value Forecast instead of the current Zillow Home Value Index and a specified interest rate in lieu of PMMS. It also assumes a 20 percent down payment. We calculate rent affordability similarly to mortgage affordability; however we use the Zillow Rent Index, which tracks the monthly median rent in particular geographical regions, to capture rental prices. Rents are chained back in time by using U.S. Census Bureau American Community Survey data from 2006 to the start of the Zillow Rent Index, and Decennial Census for all other years.
    • The mortgage rate series is the average mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate mortgage in 15-minute increments during business hours, 6:00 AM to 5:00 PM Pacific. It does not include quotes for jumbo loans, FHA loans, VA loans, loans with mortgage insurance or quotes to consumers with credit scores below 720. Federal holidays are excluded. The jumbo mortgage rate series is the average jumbo mortgage rate quoted on Zillow Mortgages for a 30-year, fixed-rate, jumbo mortgage in one-hour increments during business hours, 6:00 AM to 5:00 PM Pacific Time. It does not include quotes to consumers with credit scores below 720. Traditional federal holidays and hours with insufficient sample sizes are excluded.

    About Zillow Data (and Terms of Use Information)

    • Zillow is in the process of transitioning some data sources with the goal of producing published data that is more comprehensive, reliable, accurate and timely. As this new data is incorporated, the publication of select metrics may be delayed or temporarily suspended. We look forward to resuming our usual publication schedule for all of our established datasets as soon as possible, and we apologize for any inconvenience. Thank you for your patience and understanding.
    • All data accessed and downloaded from this page is free for public use by consumers, media, analysts, academics etc., consistent with our published Terms of Use. Proper and clear attribution of all data to Zillow is required.
    • For other data requests or inquiries for Zillow Real Estate Research, contact us here.
    • All files are time series unless noted otherwise.
    • To download all Zillow metrics for specific levels of geography, click here.
    • To download a crosswalk between Zillow regions and federally defined regions for counties and metro areas, click here.
    • Unless otherwise noted, all series cover single-family residences, condominiums and co-op homes only.

    Source: https://www.zillow.com/research/data/

    This dataset was created by Zillow Data and contains around 200 samples along with Unnamed: 1, Unnamed: 0, technical information and other features such as: - Unnamed: 1 - Unnamed: 0 - and more.

    How to use this dataset

    • Analyze Unnamed: 1 in relation to Unnamed: 0
    • Study the influence of Unnamed: 1 on Unnamed: 0
    • More datasets

    Acknowledgements

    If you use this dataset in your research, please credit Zillow Data

    Start A New Notebook!

    --- Original source retains full ownership of the source dataset ---

  16. Live tables on rents, lettings and tenancies

    • gov.uk
    Updated Jun 26, 2025
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    Ministry of Housing, Communities and Local Government (2025). Live tables on rents, lettings and tenancies [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-rents-lettings-and-tenancies
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Details about the different data sources used to generate tables and a list of discontinued tables can be found in Rents, lettings and tenancies: notes and definitions for local authorities and data analysts.

    Live Tables

    https://assets.publishing.service.gov.uk/media/6853e20180329f510de98989/Live_Table_600.ods">Table 600: number of households on local authority housing registers (waiting lists), by district, England, from 1987

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">153 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

    https://assets.publishing.service.gov.uk/media/6853e20c1203c00468ba2ae5/Live_Table_602.ods">Table 602: local authority owned dwellings let by local authorities, England, from 1981-82

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute"><abbr title="OpenDocument Spreadsheet" class="gem-c-attachment_abbr">ODS</abbr></span>, <span class="gem-c-attachment_attribute">10.7 KB</span></p>
    
    
    
      <p class="gem-c-attachment_metadata">
       This file is in an <a href="https://www.gov.uk/guidance/using-open-document-formats-odf-in-your-organisation" target="_self" class="govuk-link">OpenDocument</a> format
    

  17. d

    Rent Burden Greater than 30%

    • catalog.data.gov
    • data.seattle.gov
    • +2more
    Updated Jan 31, 2025
    + more versions
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    City of Seattle ArcGIS Online (2025). Rent Burden Greater than 30% [Dataset]. https://catalog.data.gov/dataset/rent-burden-greater-than-30-7408b
    Explore at:
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    City of Seattle ArcGIS Online
    Description

    Displacement risk indicator showing how many households within the specified groups are facing housing cost burden (contributing more than 30% of monthly income toward housing costs).

  18. f

    Multifamily Housing Construction Sites

    • data.ferndalemi.gov
    • detroitdata.org
    • +2more
    Updated Sep 15, 2023
    + more versions
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    City of Detroit (2023). Multifamily Housing Construction Sites [Dataset]. https://data.ferndalemi.gov/maps/detroitmi::multifamily-housing-construction-sites
    Explore at:
    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    This dataset contains multifamily affordable and market-rate housing sites (typically 5+ units) in the City of Detroit that have been built or rehabbed since 2015, or are currently under construction. Most sites are rental housing, though some are for sale. The data are collected from developers, other government departments and agencies, and proprietary data sources in order to track new multifamily and affordable housing construction and rehabilitation occurring in throughout the city, in service of the City's multifamily affordable housing goals. Data are compiled by various teams within the Housing and Revitalization Department (HRD), led by the Preservation Team. This dataset reflects HRD's current knowledge of multifamily units under construction in the city and will be updated as the department's knowledge changes. For more information about the City's multifamily affordable housing policies and goals, visit here.Affordability level for affordable units are measured by the percentage of the Area Median Income (AMI) that a household could earn for that unit to be considered affordable for them. For example, a unit that rents at a 60% AMI threshold would be affordable to a household earning 60% or less of the median income for the area. Rent affordability is typically defined as housing costs consuming 30% or less of monthly income. Regulated housing programs are designed to serve households based on certain income benchmarks relative to AMI, and these income benchmarks vary based on household size. Detroit city's AMI levels are set by the Department of Housing and Urban Development (HUD) for the Detroit-Warren-Livonia, MI Metro Fair Market Rent (FMR) area. For more information on AMI in Detroit, visit here.

  19. A

    ‘Rent Burden Greater than 30%’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jan 27, 2022
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘Rent Burden Greater than 30%’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-rent-burden-greater-than-30-00ce/5ba225f5/?iid=004-609&v=presentation
    Explore at:
    Dataset updated
    Jan 27, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Rent Burden Greater than 30%’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b835dc32-41f5-4629-8e60-f2e3a92f9db0 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    Displacement risk indicator showing how many households within the specified groups are facing housing cost burden (contributing more than 30% of monthly income toward housing costs) .

    --- Original source retains full ownership of the source dataset ---

  20. A

    ‘Rent Burden Greater than 50%’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Jun 13, 2020
    + more versions
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘Rent Burden Greater than 50%’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-rent-burden-greater-than-50-fbfe/f7a5ccc0/?iid=004-569&v=presentation
    Explore at:
    Dataset updated
    Jun 13, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘Rent Burden Greater than 50%’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/98bb7b6a-079b-4659-af21-27e5e167c432 on 27 January 2022.

    --- Dataset description provided by original source is as follows ---

    Displacement risk indicator showing how many households within the specified groups are facing severely housing cost burden (contributing more than 50% of monthly income toward housing costs).

    --- Original source retains full ownership of the source dataset ---

Share
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Email
Click to copy link
Link copied
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(2025). Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SEHA

Consumer Price Index for All Urban Consumers: Rent of Primary Residence in U.S. City Average

CUUR0000SEHA

Explore at:
28 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 11, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Area covered
United States
Description

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

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