100+ datasets found
  1. F

    Housing Inventory: Active Listing Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Jun 2025 about active listing, listing, and USA.

  2. Number of Airbnb listings in New York City, U.S. 2025, by room type

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Number of Airbnb listings in New York City, U.S. 2025, by room type [Dataset]. https://www.statista.com/statistics/1330605/airbnb-listings-by-room-type-new-york-city-united-states/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States, New York
    Description

    As of January 2025, the number of Airbnb listings in New York City in the United States amounted to ******. Entire homes and apartments represented the highest number of listings in the city, totaling ******.

  3. 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
  4. Number of active Airbnb listings India 2021, by select city

    • statista.com
    Updated Aug 30, 2024
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    Statista (2024). Number of active Airbnb listings India 2021, by select city [Dataset]. https://www.statista.com/statistics/1322555/india-number-of-active-airbnb-listings-by-select-city/
    Explore at:
    Dataset updated
    Aug 30, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    India
    Description

    Bengaluru, the southern Indian city of India had over 5.9 thousand active Airbnb listings in 2021. The south Asian country had an average occupancy rate of nine percent among Airbnb listings that year.

  5. F

    Housing Inventory: Active Listing Count in Florida

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in Florida [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUFL
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Florida
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Florida (ACTLISCOUFL) from Jul 2016 to Jun 2025 about active listing, FL, listing, and USA.

  6. Number of Airbnb listings in New York 2010-2020, by month

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Number of Airbnb listings in New York 2010-2020, by month [Dataset]. https://www.statista.com/statistics/1265037/new-york-monthly-airbnb-listings/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2010 - Oct 2020
    Area covered
    New York
    Description

    As of October 2020, there were over 42 thousand active Airbnb listings in New York. This figure has grown significantly since January 2010, where there were only 150 Airbnb listings in the city. In 2020, Airbnb earned a total revenue of 3.38 billion U.S. dollars, showing a decline when compared to the previous year. This was most likely due to the impact of the coronavirus (COVID-19) pandemic.

  7. F

    Housing Inventory: Active Listing Count in California

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in California [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUCA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    California
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in California (ACTLISCOUCA) from Jul 2016 to Jun 2025 about active listing, CA, listing, and USA.

  8. d

    Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data |...

    • datarade.ai
    .json, .csv, .txt
    Updated Oct 4, 2023
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    CrawlBee (2023). Realtor.com Dataset | Property Listings | MLS Data | Real Estate Data | Residential Data | Realtime Real Estate Market Data [Dataset]. https://datarade.ai/data-products/crawlbee-realtor-com-dataset-property-listings-mls-dat-crawlbee
    Explore at:
    .json, .csv, .txtAvailable download formats
    Dataset updated
    Oct 4, 2023
    Dataset authored and provided by
    CrawlBee
    Area covered
    United States of America
    Description

    Our Realtor.com (Multiple Listing Service) dataset represents one of the most exhaustive collections of real estate data available to the industry. It consolidates data from over 500 MLS aggregators across various regions, providing an unparalleled view of the property market.

    Features:

    Property Listings: Each listing provides comprehensive details about a property. This includes its physical address, number of bedrooms and bathrooms, square footage, lot size, type of property (e.g., single-family home, condo, townhome), and more.

    Photographs and Virtual Tours: Visuals are crucial in the property market. Most listings are accompanied by high-quality photographs and, in many cases, virtual or 3D tours that allow potential buyers to explore properties remotely.

    Pricing Information: Listings provide asking prices, and the dataset frequently updates to reflect price changes. Historical price data, which includes initial listing prices and any subsequent reductions or increases, is also available.

    Transaction Histories: For sold properties, the dataset provides information about the date of sale, the sale price, and any discrepancies between the listing and sale prices.

    Agent and Broker Information: Each listing typically has associated details about the property's real estate professional. This might include their name, contact details, and affiliated brokerage.

    Open House Schedules: Open house dates and times are listed for properties that are actively being shown to potential buyers.

    1. Analytical Insights:

    Market Trends: By analyzing the dataset over time, one can glean insights into market dynamics, such as the rate of price appreciation or depreciation in certain areas, the average time properties stay on the market, and seasonality effects.

    Neighborhood Data: With comprehensive geographical data, it becomes possible to understand neighborhood-specific trends. This is invaluable for potential buyers or real estate investors looking to identify burgeoning markets.

    Price Comparisons: Realtors and potential buyers can benchmark properties against similar listings in the same area to determine if a property is priced appropriately.

    1. Utility:

    For Industry Professionals and Analysts: Beyond buyers and sellers, the dataset is a trove of information for real estate agents, brokers, analysts, and investors. They can harness this data to craft strategies, predict market movements, and serve their clients better.

  9. 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/
    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

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

  10. d

    Property Listings Data | USA Coverage | 74% Right Party Contact Rate |...

    • datarade.ai
    Updated Aug 14, 2024
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    BatchService (2024). Property Listings Data | USA Coverage | 74% Right Party Contact Rate | BatchData [Dataset]. https://datarade.ai/data-products/batchservice-u-s-property-listings-data-real-estate-mark-batchservice
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    BatchService
    Area covered
    United States
    Description

    BatchData's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:

    • Listing Details: property listings descriptions, property characteristics, pricing, days on market, and more.
    • Agent Information: agent names, license numbers, contact details, listing counts, and listing histories.
    • Broker Information: Broker names, locations, URLs, emails, phone numbers, and licensing information.
    • Additional Details: Information about schools, neighborhoods, subdivisions, and tax data.

    Common Use Cases: - Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles. - Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics. - Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated. - Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.

    Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.

  11. F

    Housing Inventory: Active Listing Count in San Diego County, CA

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in San Diego County, CA [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU6073
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    San Diego County, California
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in San Diego County, CA (ACTLISCOU6073) from Jul 2016 to Jun 2025 about San Diego County, CA; San Diego; active listing; CA; listing; and USA.

  12. United States Active Listings: All Residential

    • ceicdata.com
    + more versions
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    CEICdata.com (2020). United States Active Listings: All Residential [Dataset]. https://www.ceicdata.com/en/united-states/active-listings/active-listings-all-residential
    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
    Aug 1, 2019 - Jul 1, 2020
    Area covered
    United States
    Description

    United States Active Listings: All Residential data was reported at 1,907,862.000 Unit in Jul 2020. This records a decrease from the previous number of 1,961,341.000 Unit for Jun 2020. United States Active Listings: All Residential data is updated monthly, averaging 2,335,272.000 Unit from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 2,732,490.000 Unit in Jul 2015 and a record low of 1,761,163.000 Unit in Apr 2020. United States Active Listings: All Residential data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB035: Active Listings.

  13. d

    Autoscraping | Zillow USA Real Estate Data | 10M Listings with Pricing &...

    • datarade.ai
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    AutoScraping, Autoscraping | Zillow USA Real Estate Data | 10M Listings with Pricing & Market Insights [Dataset]. https://datarade.ai/data-products/autoscraping-s-zillow-usa-real-estate-data-10m-listings-wit-autoscraping
    Explore at:
    .json, .csv, .xls, .sqlAvailable download formats
    Dataset authored and provided by
    AutoScraping
    Area covered
    United States
    Description

    Autoscraping's Zillow USA Real Estate Data is a comprehensive and meticulously curated dataset that covers over 10 million property listings across the United States. This data product is designed to meet the needs of professionals across various sectors, including real estate investment, market analysis, urban planning, and academic research. Our dataset is unique in its depth, accuracy, and timeliness, ensuring that users have access to the most relevant and actionable information available.

    What Makes Our Data Unique? The uniqueness of our data lies in its extensive coverage and the precision of the information provided. Each property listing is enriched with detailed attributes, including but not limited to, full addresses, asking prices, property types, number of bedrooms and bathrooms, lot size, and Zillow’s proprietary value and rent estimates. This level of detail allows users to perform in-depth analyses, make informed decisions, and gain a competitive edge in their respective fields.

    Furthermore, our data is continually updated to reflect the latest market conditions, ensuring that users always have access to current and accurate information. We prioritize data quality, and each entry is carefully validated to maintain a high standard of accuracy, making this dataset one of the most reliable on the market.

    Data Sourcing: The data is sourced directly from Zillow, one of the most trusted names in the real estate industry. By leveraging Zillow’s extensive real estate database, Autoscraping ensures that users receive data that is not only comprehensive but also highly reliable. Our proprietary scraping technology ensures that data is extracted efficiently and without errors, preserving the integrity and accuracy of the original source. Additionally, we implement strict data processing and validation protocols to filter out any inconsistencies or outdated information, further enhancing the quality of the dataset.

    Primary Use-Cases and Vertical Applications: Autoscraping's Zillow USA Real Estate Data is versatile and can be applied across a variety of use cases and industries:

    Real Estate Investment: Investors can use this data to identify lucrative opportunities, analyze market trends, and compare property values across different regions. The detailed pricing and valuation data allow for comprehensive due diligence and risk assessment.

    Market Analysis: Market researchers can leverage this dataset to track real estate trends, evaluate the performance of different property types, and assess the impact of economic factors on property values. The dataset’s nationwide coverage makes it ideal for both local and national market studies.

    Urban Planning and Development: Urban planners and developers can use the data to identify growth areas, plan new developments, and assess the demand for different property types in various regions. The detailed location data is particularly valuable for site selection and zoning analysis.

    Academic Research: Universities and research institutions can utilize this data for studies on housing markets, urbanization, and socioeconomic trends. The comprehensive nature of the dataset allows for a wide range of academic applications.

    Integration with Our Broader Data Offering: Autoscraping's Zillow USA Real Estate Data is part of our broader data portfolio, which includes various datasets focused on real estate, market trends, and consumer behavior. This dataset can be seamlessly integrated with our other offerings to provide a more holistic view of the market. For example, combining this data with our consumer demographic datasets can offer insights into the relationship between property values and demographic trends.

    By choosing Autoscraping's data products, you gain access to a suite of complementary datasets that can be tailored to meet your specific needs. Whether you’re looking to gain a comprehensive understanding of the real estate market, identify new investment opportunities, or conduct advanced research, our data offerings are designed to provide you with the insights you need.

  14. Monthly number of Airbnb listings in Australia 2018-2019 by house type

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Monthly number of Airbnb listings in Australia 2018-2019 by house type [Dataset]. https://www.statista.com/statistics/1109525/australia-monthly-airbnb-listings-by-house-type/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Feb 2019
    Area covered
    Australia
    Description

    In January 2019 the number of homes and apartments listed on the Airbnb accommodation rental platform in Australia peaked at ******* listings. The December/January summer holiday period in Australia saw the highest number of listings across all three accommodations types. Although shared rooms also saw a small increase in December/January, this less popular accommodation type was not significantly influenced by seasonal changes over the year.

  15. F

    Housing Inventory: Active Listing Count in New York

    • fred.stlouisfed.org
    json
    Updated Jun 5, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in New York [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUNY
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    New York
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in New York (ACTLISCOUNY) from Jul 2016 to May 2025 about active listing, NY, listing, and USA.

  16. Number of Airbnb listings in selected U.S. cities 2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Number of Airbnb listings in selected U.S. cities 2024 [Dataset]. https://www.statista.com/statistics/1339477/number-airbnb-listings-selected-cities-us/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    United States
    Description

    New York City accounted for ****** Airbnb listings in late 2024. Meanwhile, Los Angeles had ****** listings, making it the city with the most Airbnb listings in the ranking.

  17. F

    Housing Inventory: Active Listing Count in San Jose-Sunnyvale-Santa Clara,...

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in San Jose-Sunnyvale-Santa Clara, CA (CBSA) [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU41940
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Sunnyvale, San Jose-Sunnyvale-Santa Clara, CA, San Jose, California
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in San Jose-Sunnyvale-Santa Clara, CA (CBSA) (ACTLISCOU41940) from Jul 2016 to Jun 2025 about San Jose, active listing, CA, listing, and USA.

  18. F

    Housing Inventory: Active Listing Count in Orange County, CA

    • fred.stlouisfed.org
    json
    Updated Jan 7, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in Orange County, CA [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU6059
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jan 7, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Orange County, California
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Orange County, CA (ACTLISCOU6059) from Jul 2016 to Dec 2024 about Orange County, CA; Los Angeles; active listing; CA; listing; and USA.

  19. F

    Housing Inventory: Active Listing Count in Phoenix-Mesa-Scottsdale, AZ...

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in Phoenix-Mesa-Scottsdale, AZ (CBSA) [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU38060
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Arizona, Scottsdale
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Phoenix-Mesa-Scottsdale, AZ (CBSA) (ACTLISCOU38060) from Jul 2016 to Jun 2025 about Phoenix, AZ, active listing, listing, and USA.

  20. F

    Housing Inventory: Active Listing Count in San Francisco-Oakland-Hayward, CA...

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in San Francisco-Oakland-Hayward, CA (CBSA) [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU41860
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Oakland, San Francisco, California, Hayward
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in San Francisco-Oakland-Hayward, CA (CBSA) (ACTLISCOU41860) from Jul 2016 to Jun 2025 about San Francisco, active listing, CA, listing, and USA.

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Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS

Housing Inventory: Active Listing Count in the United States

ACTLISCOUUS

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Dataset updated
Jul 10, 2025
License

https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

Area covered
United States
Description

Graph and download economic data for Housing Inventory: Active Listing Count in the United States (ACTLISCOUUS) from Jul 2016 to Jun 2025 about active listing, listing, and USA.

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