NARA's Public Data Listing contains data assets that are available to the public. These include datasets in a variety of formats and public APIs.

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

This searchable database contains establishments (engaged in the manufacture, preparation, propagation, compounding, assembly, or processing of medical devices intended for human use and commercial distribution) and listings of medical devices in commercial distribution by both domestic and foreign manufacturers. Note: This database is updated once a week.

BEA's Public Data Listing

Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

United States Department of Transportation Public Data Listing. The file is formatted to comply with project open data common core metadata requirements (http://project-open-data.github.io/schema/) and conforms to schema version 1.1

NASA Open Data Public Data List. This machine readable file contains meta-records for NASA open data sets.

Provides a list of all data assets maintained by the Social Security Administration. It consist of Public Data Listing in the Enterprise Data Inventory.

The NYC Parks Events Listing database is used to store event information displayed on the Parks website, nyc.gov/parks. There are seven related tables that make up the this database:

1. Events_Events table (This is the primary table that contains basic data about every event. Each record is an event.)
2. Events_Categories (Each record is a category describing an event. One event can be in more than one category.)
3. Events_Images (Each record is an image related to an event. One event can have more than one image.)
4. Events_Links (Each record is a link with more information about an event. One event can have more than one link.)
5. Events_Locations (Each record is a location where an event takes place. One event can have more than one location.)
6. Events_Organizers (Each record contains a group or person organizing an event. One event can have more than one organizer.)
7. Events_YouTube (Each record is a link to a YouTube video about an event. One event can have more than one YouTube video.)

The Events_Events table is the primary table. All other tables can be related by joining on the event_id. This data contains records from 2013 and on. For a complete list of related datasets, please follow This Link

Motivation

Zingat operates as an intermediary between potential buyers and sellers in the real estate market. In this regard, to help both parties we routinely value and monitor real estate market. For this purpose, we regularly build new and better models using new technologies in the field of data science. Not only with automated valuation models that predict house prices, we also employ time series models to understand market trends. These models include both the statistical excellence and the domain know-how. As strong believers of sharing and data, we would like to contribute to community by sharing our data. This is just a first step of our public data policy. More data will be opened when we have availability.

Goal

We would like you use this sample listing data. You may always crawl our site within ethical and legal boundaries. However if you dont prefer it, here is sample dataset for you to use it in your research. Should you need more and broader data, feel free to contact us. Give it a go, play around with data. We are curious about hearing your findings. In near future, we will also organize datathons with similar datasets. So this should give you some playground beforehand.

The median listing price per square foot in a given market during the specified month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

Graph and download economic data for Housing Inventory: Active Listing Count Year-Over-Year in Queens County, NY (ACTLISCOUYY36081) from Jul 2017 to Jun 2025 about Queens County, NY; New York; active listing; NY; listing; and USA.

Graph and download economic data for Housing Inventory: Active Listing Count Year-Over-Year in San Diego-Carlsbad, CA (CBSA) (ACTLISCOUYY41740) from Jul 2017 to Jun 2025 about San Diego, active listing, CA, listing, and USA.

The median listing price in a given market during the specified month.

With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

Graph and download economic data for Housing Inventory: Median Listing Price in Los Angeles-Long Beach-Anaheim, CA (CBSA) (MEDLISPRI31080) from Jul 2016 to Jun 2025 about Los Angeles, CA, listing, median, price, and USA.

The Zoopla Dataset provides a detailed repository of information covering property listings available on the Zoopla platform. Tailored to support businesses, researchers, and analysts in the real estate sector, this dataset delivers valuable insights into market trends, property valuations, and consumer preferences within the real estate market.

With key attributes such as property details, pricing data, location information, and listing history, users can conduct thorough analyses to refine property investment strategies, assess market demand, and identify emerging trends.

Whether you're a real estate agent seeking to enhance your property listings, a researcher investigating trends in the housing market, or an analyst aiming to refine investment strategies, the Zoopla Dataset serves as an essential resource for unlocking opportunities and driving success in the competitive landscape of real estate

Graph and download economic data for Housing Inventory: New Listing Count Year-Over-Year in Florida (NEWLISCOUYYFL) from Jul 2017 to May 2025 about FL, new, listing, and USA.

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses and certifies more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a CDPH data system created to manage state licensing-related data and enforcement actions. This file includes California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. Facility geographic variables are updated monthly, if latitude/longitude information is missing at any point in time, it should be available when the next time the Open Data facility file is refreshed. Please note that the file contains the data from ELMS as of the 11th business day of the month. See DATA_DATE variable for the specific date of when the data was extracted. Map of all Health Care Facilities in California: https://go.cdii.ca.gov/cdph-facilities

United States Listings w/ Price Drops: Single Family: Olympia, WA data was reported at 30.976 % in Jul 2020. This records a decrease from the previous number of 33.708 % for Jun 2020. United States Listings w/ Price Drops: Single Family: Olympia, WA data is updated monthly, averaging 24.861 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 41.365 % in Oct 2018 and a record low of 15.041 % in Dec 2012. United States Listings w/ Price Drops: Single Family: Olympia, WA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB041: Listings with Price Drops: by Metropolitan Areas.

United States Listings w/ Price Drops: Single Family: New Orleans, LA data was reported at 33.764 % in Jul 2020. This records an increase from the previous number of 32.091 % for Jun 2020. United States Listings w/ Price Drops: Single Family: New Orleans, LA data is updated monthly, averaging 22.613 % from Feb 2015 (Median) to Jul 2020, with 66 observations. The data reached an all-time high of 33.764 % in Jul 2020 and a record low of 0.018 % in Mar 2015. United States Listings w/ Price Drops: Single Family: New Orleans, LA data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB041: Listings with Price Drops: by Metropolitan Areas.