29 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
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (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 metro (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Jun 14, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Vital Signs: Rent Payments – by metro (2022) [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Rent-Payments-by-metro-2022-/nj8n-6qeh
    Explore at:
    csv, application/rssxml, xml, json, application/rdfxml, tsvAvailable download formats
    Dataset updated
    Jun 14, 2022
    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. Apartment rent in the United States in 2025, by state

    • statista.com
    Updated May 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  4. T

    United States Rent Inflation

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 14, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2018). United States Rent Inflation [Dataset]. https://tradingeconomics.com/united-states/rent-inflation
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Nov 14, 2018
    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 - May 31, 2025
    Area covered
    United States
    Description

    Rent Inflation in the United States decreased to 3.90 percent in May from 4 percent in April of 2025. This dataset includes a chart with historical data for the United States Rent Inflation.

  5. T

    United States Price to Rent Ratio

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Price to Rent Ratio [Dataset]. https://tradingeconomics.com/united-states/price-to-rent-ratio
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    May 27, 2025
    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
    Mar 31, 1970 - Dec 31, 2024
    Area covered
    United States
    Description

    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.

  6. US States Housing Data

    • data.dathere.com
    • data-dathere.dataops.dathere.com
    csv
    Updated Feb 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    US Census Bureau (2024). US States Housing Data [Dataset]. https://data.dathere.com/dataset/housing
    Explore at:
    csv(18655), csv(16829), csv(32524), csv(16936), csv(31777), csv(55060), csv(84015), csv(7590)Available download formats
    Dataset updated
    Feb 1, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    US Census Bureau
    Area covered
    United States
    Description

    Information on median gross rents

  7. T

    Rent Price (LA)

    • usc.data.socrata.com
    application/rdfxml +5
    Updated Aug 25, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    American Community Survey, B25064 (2017). Rent Price (LA) [Dataset]. https://usc.data.socrata.com/Los-Angeles/Rent-Price-LA-/4a97-v5tx
    Explore at:
    csv, xml, application/rdfxml, application/rssxml, tsv, jsonAvailable download formats
    Dataset updated
    Aug 25, 2017
    Dataset authored and provided by
    American Community Survey, B25064
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Los Angeles
    Description
  8. United States Median Asking Monthly Rent

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States Median Asking Monthly Rent [Dataset]. https://www.ceicdata.com/en/united-states/median-asking-monthly-rent/median-asking-monthly-rent
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Rent
    Description

    United States Median Asking Monthly Rent data was reported at 1,003.000 USD in Sep 2018. This records an increase from the previous number of 951.000 USD for Jun 2018. United States Median Asking Monthly Rent data is updated quarterly, averaging 588.000 USD from Mar 1988 (Median) to Sep 2018, with 123 observations. The data reached an all-time high of 1,003.000 USD in Sep 2018 and a record low of 330.000 USD in Mar 1988. United States Median Asking Monthly Rent data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s United States – Table US.EB009: Median Asking Monthly Rent.

  9. w

    Market Rent for One and Two Bedroom Apartments

    • data.wu.ac.at
    csv, json, xml
    Updated May 28, 2015
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    County of San Mateo Department of Housing (2015). Market Rent for One and Two Bedroom Apartments [Dataset]. https://data.wu.ac.at/schema/performance_smcgov_org/eG1qOC1kY3px
    Explore at:
    csv, xml, jsonAvailable download formats
    Dataset updated
    May 28, 2015
    Dataset provided by
    County of San Mateo Department of Housing
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    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.

  10. o

    Zillow Properties Listing Information Dataset

    • opendatabay.com
    .other
    Updated Jun 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bright Data (2025). Zillow Properties Listing Information Dataset [Dataset]. https://www.opendatabay.com/data/premium/0bdd01d7-1b5b-4005-bb73-345bc710c694
    Explore at:
    .otherAvailable download formats
    Dataset updated
    Jun 16, 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
  11. United States US: Price to Rent Ratio: sa

    • ceicdata.com
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com, United States US: Price to Rent Ratio: sa [Dataset]. https://www.ceicdata.com/en/united-states/house-price-index-seasonally-adjusted-oecd-member-annual/us-price-to-rent-ratio-sa
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2013 - Dec 1, 2024
    Area covered
    United States
    Description

    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

  12. Median monthly asking rent Manhattan, NY 2010-2024, by area

    • statista.com
    • ai-chatbox.pro
    Updated May 13, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Median monthly asking rent Manhattan, NY 2010-2024, by area [Dataset]. https://www.statista.com/statistics/1235551/median-monthly-rental-rates-manhattan-new-york/
    Explore at:
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    New York
    Description

    The median monthly asking rent of single family homes and apartments in Manhattan, New York plummeted in 2020, following the coronavirus (COVID-19) pandemic outbreak. The average rent in Upper East Side fell to ***** U.S. dollars, only to surge in the next two years. In 2024, a residential property in Downtown Manhattan had an average rent of nearly ***** U.S. dollars.

  13. HOME Rent Limits

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 1, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Housing and Urban Development (2024). HOME Rent Limits [Dataset]. https://catalog.data.gov/dataset/home-rent-limits
    Explore at:
    Dataset updated
    Mar 1, 2024
    Dataset provided by
    United States Department of Housing and Urban Developmenthttp://www.hud.gov/
    Description

    In accordance with 24 CFR Part 92.252, HUD provides maximum HOME rent limits. The maximum HOME rents are the lesser of: The fair market rent for existing housing for comparable units in the area as established by HUD under 24 CFR 888.111 or A rent that does not exceed 30 percent of the adjusted income of a family whose annual income equals 65 percent of the median income for the area, as determined by HUD, with adjustments for number of bedrooms in the unit. The HOME rent limits provided by HUD will include average occupancy per unit and adjusted income assumptions.

  14. Cost of International Education

    • kaggle.com
    Updated May 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adil Shamim (2025). Cost of International Education [Dataset]. https://www.kaggle.com/datasets/adilshamim8/cost-of-international-education
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 7, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Adil Shamim
    License

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

    Description

    This Cost of International Education dataset compiles detailed financial information for students pursuing higher education abroad. It covers multiple countries, cities, and universities around the world, capturing the full tuition and living expenses spectrum alongside key ancillary costs. With standardized fields such as tuition in USD, living-cost indices, rent, visa fees, insurance, and up-to-date exchange rates, it enables comparative analysis across programs, degree levels, and geographies. Whether you’re a prospective international student mapping out budgets, an educational consultant advising on affordability, or a researcher studying global education economics, this dataset offers a comprehensive foundation for data-driven insights.

    Description

    ColumnTypeDescription
    CountrystringISO country name where the university is located (e.g., “Germany”, “Australia”).
    CitystringCity in which the institution sits (e.g., “Munich”, “Melbourne”).
    UniversitystringOfficial name of the higher-education institution (e.g., “Technical University of Munich”).
    ProgramstringSpecific course or major (e.g., “Master of Computer Science”, “MBA”).
    LevelstringDegree level of the program: “Undergraduate”, “Master’s”, “PhD”, or other certifications.
    Duration_YearsintegerLength of the program in years (e.g., 2 for a typical Master’s).
    Tuition_USDnumericTotal program tuition cost, converted into U.S. dollars for ease of comparison.
    Living_Cost_IndexnumericA normalized index (often based on global city indices) reflecting relative day-to-day living expenses (food, transport, utilities).
    Rent_USDnumericAverage monthly student accommodation rent in U.S. dollars.
    Visa_Fee_USDnumericOne-time visa application fee payable by international students, in U.S. dollars.
    Insurance_USDnumericAnnual health or student insurance cost in U.S. dollars, as required by many host countries.
    Exchange_RatenumericLocal currency units per U.S. dollar at the time of data collection—vital for currency conversion and trend analysis if rates fluctuate.

    Potential Uses

    • Budget Planning Prospective students can filter by country, program level, or university to forecast total expenses and compare across destinations.
    • Policy Analysis Educational policymakers and NGOs can assess the affordability of international education and design support programs.
    • Economic Research Economists can correlate living-cost indices and tuition levels with enrollment rates or student demographics.
    • University Benchmarking Institutions can benchmark their fees and ancillary costs against peer universities worldwide.

    Notes on Data Collection & Quality

    • Currency Conversions All monetary values are unified to USD using contemporaneous exchange rates to facilitate direct comparison.
    • Living Cost Index Derived from reputable city-index publications (e.g., Numbeo, Mercer) to standardize disparate cost-of-living metrics.
    • Data Currency Exchange rates and fee schedules should be periodically updated to reflect market fluctuations and policy changes.

    Feel free to explore, visualize, and extend this dataset for deeper insights into the true cost of studying abroad!

  15. A

    ‘ Zillow Housing Aspirations Report’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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. Housing Cost Burden

    • data.ca.gov
    • data.chhs.ca.gov
    • +4more
    pdf, xlsx, zip
    Updated Aug 28, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Public Health (2024). Housing Cost Burden [Dataset]. https://data.ca.gov/dataset/housing-cost-burden
    Explore at:
    xlsx, pdf, zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    License

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

    Description

    This table contains data on the percent of households paying more than 30% (or 50%) of monthly household income towards housing costs for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Department of Housing and Urban Development (HUD), Consolidated Planning Comprehensive Housing Affordability Strategy (CHAS) and the U.S. Census Bureau, American Community Survey (ACS). The table is part of a series of indicators in the [Healthy Communities Data and Indicators Project of the Office of Health Equity] Affordable, quality housing is central to health, conferring protection from the environment and supporting family life. Housing costs—typically the largest, single expense in a family's budget—also impact decisions that affect health. As housing consumes larger proportions of household income, families have less income for nutrition, health care, transportation, education, etc. Severe cost burdens may induce poverty—which is associated with developmental and behavioral problems in children and accelerated cognitive and physical decline in adults. Low-income families and minority communities are disproportionately affected by the lack of affordable, quality housing. More information about the data table and a data dictionary can be found in the Attachments.

  17. T

    United States Total Housing Inventory

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2025). United States Total Housing Inventory [Dataset]. https://tradingeconomics.com/united-states/total-housing-inventory
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jun 15, 2025
    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
    Jun 30, 1982 - May 31, 2025
    Area covered
    United States
    Description

    Total Housing Inventory in the United States increased to 1540 Thousands in May from 1450 Thousands in April of 2025. This dataset includes a chart with historical data for the United States Total Housing Inventory.

  18. T

    Housing Demographics Town of Dumfries

    • data.dumfriesva.gov
    • data.virginia.gov
    application/rdfxml +5
    Updated Jan 12, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Census (2022). Housing Demographics Town of Dumfries [Dataset]. https://data.dumfriesva.gov/w/kty6-q42d/default?cur=GBNfrFFE-rh&from=RcLap2CgdJD
    Explore at:
    json, application/rdfxml, csv, tsv, xml, application/rssxmlAvailable download formats
    Dataset updated
    Jan 12, 2022
    Dataset authored and provided by
    U.S. Census
    Area covered
    Dumfries
    Description

    This data set highlights housing demographics in the Town of Dumfries which includes the median gross rent, per capita income, average mortgage, and median value of owner-occupied housing units. This data comes from the most recent U.S. Census provided by the United States Census Bureau. Data will be updated accordingly with the schedule of the U.S Census. https://data.census.gov/cedsci/profile?g=1600000US5123760

  19. a

    Housing Rent (by State of Georgia) 2019

    • opendata.atlantaregional.com
    Updated Feb 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Georgia Association of Regional Commissions (2021). Housing Rent (by State of Georgia) 2019 [Dataset]. https://opendata.atlantaregional.com/datasets/GARC::housing-rent-by-state-of-georgia-2019/explore
    Explore at:
    Dataset updated
    Feb 26, 2021
    Dataset provided by
    The Georgia Association of Regional Commissions
    Authors
    Georgia Association of Regional Commissions
    License

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

    Area covered
    Description

    This dataset was developed by the Research & Analytics Group at the Atlanta Regional Commission using data from the U.S. Census Bureau.For a deep dive into the data model including every specific metric, see the Infrastructure Manifest. The manifest details ARC-defined naming conventions, field names/descriptions and topics, summary levels; source tables; notes and so forth for all metrics.Naming conventions:Prefixes: None Countp Percentr Ratem Mediana Mean (average)t Aggregate (total)ch Change in absolute terms (value in t2 - value in t1)pch Percent change ((value in t2 - value in t1) / value in t1)chp Change in percent (percent in t2 - percent in t1)s Significance flag for change: 1 = statistically significant with a 90% CI, 0 = not statistically significant, blank = cannot be computed Suffixes: _e19 Estimate from 2014-19 ACS_m19 Margin of Error from 2014-19 ACS_00_v19 Decennial 2000, re-estimated to 2019 geography_00_19 Change, 2000-19_e10_v19 2006-10 ACS, re-estimated to 2019 geography_m10_v19 Margin of Error from 2006-10 ACS, re-estimated to 2019 geography_e10_19 Change, 2010-19The user should note that American Community Survey data represent estimates derived from a surveyed sample of the population, which creates some level of uncertainty, as opposed to an exact measure of the entire population (the full census count is only conducted once every 10 years and does not cover as many detailed characteristics of the population). Therefore, any measure reported by ACS should not be taken as an exact number – this is why a corresponding margin of error (MOE) is also given for ACS measures. The size of the MOE relative to its corresponding estimate value provides an indication of confidence in the accuracy of each estimate. Each MOE is expressed in the same units as its corresponding measure; for example, if the estimate value is expressed as a number, then its MOE will also be a number; if the estimate value is expressed as a percent, then its MOE will also be a percent. The user should also note that for relatively small geographic areas, such as census tracts shown here, ACS only releases combined 5-year estimates, meaning these estimates represent rolling averages of survey results that were collected over a 5-year span (in this case 2015-2019). Therefore, these data do not represent any one specific point in time or even one specific year. For geographic areas with larger populations, 3-year and 1-year estimates are also available. For further explanation of ACS estimates and margin of error, visit Census ACS website.Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2015-2019Data License: Creative Commons Attribution 4.0 International (CC by 4.0)Link to the manifest: https://www.arcgis.com/sharing/rest/content/items/3d489c725bb24f52a987b302147c46ee/data

  20. Cost of Living in Tunisia

    • kaggle.com
    Updated Sep 18, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ghassen Khaled (2023). Cost of Living in Tunisia [Dataset]. https://www.kaggle.com/datasets/ghassenkhaled/cost-of-living-in-tunisia
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ghassen Khaled
    License

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

    Description

    cost of living in Tunisia: Cost of living in Tunisia is, on average, 63.7% lower than in United States. Rent in Tunisia is, on average, 89.7% lower than in United States. services are : Transportation Clothing And Shoes Sports And Leisure Markets Utilities (Monthly) Rent Per Month Restaurants

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(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:
27 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.

Search
Clear search
Close search
Google apps
Main menu