15 datasets found
  1. a

    2010 Housing Owned Free and Clear in the United States

    • hub.arcgis.com
    Updated Jul 20, 2017
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    ArcGIS Living Atlas Team (2017). 2010 Housing Owned Free and Clear in the United States [Dataset]. https://hub.arcgis.com/maps/1960c657c05a4b14b31580be290cdd0d
    Explore at:
    Dataset updated
    Jul 20, 2017
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    This map shows where housing is owned free and clear (no mortgage) in the USA in 2010. This pattern is shown for states, counties, tracts, and block groups. The color of the symbols shows the percentage of owner-occupied housing units that are owned free and clear. Areas in yellow have more housing units owned free and clear, and areas in blue have less.The size of the symbol shows the overall quantity of housing units owned free and clear. This provides a comparison between the total count and the amount relative to the other houses in the area.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

  2. F

    Consumer Unit Characteristics: Percent Homeowner without Mortgage by Housing...

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2024
    + more versions
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    (2024). Consumer Unit Characteristics: Percent Homeowner without Mortgage by Housing Tenure: Home Owner [Dataset]. https://fred.stlouisfed.org/series/CXU980240LB1702M
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2024
    License

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

    Description

    Graph and download economic data for Consumer Unit Characteristics: Percent Homeowner without Mortgage by Housing Tenure: Home Owner (CXU980240LB1702M) from 1984 to 2023 about consumer unit, homeownership, mortgage, percent, housing, and USA.

  3. F

    Homeownership Rate in the United States

    • fred.stlouisfed.org
    json
    Updated Apr 28, 2025
    + more versions
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    (2025). Homeownership Rate in the United States [Dataset]. https://fred.stlouisfed.org/series/RSAHORUSQ156S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 28, 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 Homeownership Rate in the United States (RSAHORUSQ156S) from Q1 1980 to Q1 2025 about housing, rate, and USA.

  4. 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 ---

  5. Homeownership rate in the U.S. 1990-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Homeownership rate in the U.S. 1990-2024 [Dataset]. https://www.statista.com/statistics/184902/homeownership-rate-in-the-us-since-2003/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The homeownership rate in the United States declined slightly in 2023 and remained stable in 2024. The U.S. homeownership rate was the highest in 2004 before the 2007-2009 recession hit and decimated the housing market. In 2024, the proportion of households occupied by owners stood at **** percent in 2024, *** percentage points below 2004 levels. Homeownership since the recession The rate of homeownership in the U.S. fell in the lead up to the recession and continued to do so until 2016. Despite this trend, the share of Americans who perceived homeownership as part of their personal American dream remained relatively stable. This suggests that the financial hardship caused by the recession led to the fall in homeownership, rather than a change in opinion about the importance of homeownership itself. What the future holds for homeownership Homeownership trends vary from generation to generation. Homeownership among Americans over 65 years old is declining, whereas most Millennial renters plan to buy a home in the near future. This suggests that homeownership will remain important in the future, as Millennials are forecast to head most households over the next two decades.

  6. Live tables on dwelling stock (including vacants)

    • gov.uk
    • s3.amazonaws.com
    Updated Jun 26, 2025
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    Ministry of Housing, Communities and Local Government (2025). Live tables on dwelling stock (including vacants) [Dataset]. https://www.gov.uk/government/statistical-data-sets/live-tables-on-dwelling-stock-including-vacants
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Ministry of Housing, Communities and Local Government
    Description

    Live tables

    Data from live tables 120, 122, and 123 is also published as http://opendatacommunities.org/def/concept/folders/themes/housing-market" class="govuk-link">Open Data (linked data format).

    https://assets.publishing.service.gov.uk/media/682deb00b33f68eaba95391b/LiveTable100.ods">Table 100: number of dwellings by tenure and district, England

     <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">492 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/682deb17baff3dab9977518d/LiveTable104.ods">Table 104: by tenure, England (historical series)

     <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">13.4 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
    

    <h2 class="gem-c-at

  7. F

    Rental Vacancy Rate in the United States

    • fred.stlouisfed.org
    json
    Updated Apr 28, 2025
    + more versions
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    (2025). Rental Vacancy Rate in the United States [Dataset]. https://fred.stlouisfed.org/series/RRVRUSQ156N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Apr 28, 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 Rental Vacancy Rate in the United States (RRVRUSQ156N) from Q1 1956 to Q1 2025 about vacancy, rent, rate, and USA.

  8. F

    Homeownership Rate for Washington

    • fred.stlouisfed.org
    json
    Updated Mar 18, 2025
    + more versions
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    (2025). Homeownership Rate for Washington [Dataset]. https://fred.stlouisfed.org/series/WAHOWN
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 18, 2025
    License

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

    Area covered
    Washington
    Description

    Graph and download economic data for Homeownership Rate for Washington (WAHOWN) from 1984 to 2024 about homeownership, WA, housing, rate, and USA.

  9. s

    Airbnb Guest Demographic Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Guest Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

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

    Description

    The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

  10. Cost of living index in the U.S. 2024, by state

    • statista.com
    Updated May 27, 2025
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    Statista (2025). Cost of living index in the U.S. 2024, by state [Dataset]. https://www.statista.com/statistics/1240947/cost-of-living-index-usa-by-state/
    Explore at:
    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    West Virginia and Kansas had the lowest cost of living across all U.S. states, with composite costs being half of those found in Hawaii. This was according to a composite index that compares prices for various goods and services on a state-by-state basis. In West Virginia, the cost of living index amounted to **** — well below the national benchmark of 100. Virginia— which had an index value of ***** — was only slightly above that benchmark. Expensive places to live included Hawaii, Massachusetts, and California. Housing costs in the U.S. Housing is usually the highest expense in a household’s budget. In 2023, the average house sold for approximately ******* U.S. dollars, but house prices in the Northeast and West regions were significantly higher. Conversely, the South had some of the least expensive housing. In West Virginia, Mississippi, and Louisiana, the median price of the typical single-family home was less than ******* U.S. dollars. That makes living expenses in these states significantly lower than in states such as Hawaii and California, where housing is much pricier. What other expenses affect the cost of living? Utility costs such as electricity, natural gas, water, and internet also influence the cost of living. In Alaska, Hawaii, and Connecticut, the average monthly utility cost exceeded *** U.S. dollars. That was because of the significantly higher prices for electricity and natural gas in these states.

  11. s

    Airbnb Average Prices By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Average Prices By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

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

    Description

    The current average price per night globally on Airbnb is $137 per night.

  12. s

    Airbnb Listings Per Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Listings Per Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

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

    Description

    Listings per region on Airbnb declined from 2020 to 2021. Globally in 2021, there were a total of 12.7 million listings.

  13. s

    Airbnb Corporate Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Corporate Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

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

    Description

    Airbnb has a total of 6,132 employees that work for the company. 52.5% of Airbnb workers are male and 47.5% are female.

  14. s

    Airbnb Commission Revenue By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Commission Revenue By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

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

    Description

    This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

  15. s

    Airbnb Gross Revenue By Country

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Gross Revenue By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

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

    Description

    These are the Airbnb statistics on gross revenue by country.

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    Learn how you can add new datasets to our index.

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ArcGIS Living Atlas Team (2017). 2010 Housing Owned Free and Clear in the United States [Dataset]. https://hub.arcgis.com/maps/1960c657c05a4b14b31580be290cdd0d

2010 Housing Owned Free and Clear in the United States

Explore at:
Dataset updated
Jul 20, 2017
Dataset authored and provided by
ArcGIS Living Atlas Team
Area covered
Description

This map shows where housing is owned free and clear (no mortgage) in the USA in 2010. This pattern is shown for states, counties, tracts, and block groups. The color of the symbols shows the percentage of owner-occupied housing units that are owned free and clear. Areas in yellow have more housing units owned free and clear, and areas in blue have less.The size of the symbol shows the overall quantity of housing units owned free and clear. This provides a comparison between the total count and the amount relative to the other houses in the area.The map shows this pattern for states, counties, tracts, and block groups. There is increasing geographic detail as you zoom in, and only one geography is configured to show at any time. The data source is the US Census Bureau, and the vintage is 2010. The original service and data metadata can be found here.

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