79 datasets found
  1. F

    Average Sales Price of Houses Sold for the United States

    • fred.stlouisfed.org
    json
    Updated Jul 24, 2025
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    (2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 24, 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 Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

  2. Vital Signs: Home Prices – by metro

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Sep 24, 2019
    + more versions
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    Zillow (2019). Vital Signs: Home Prices – by metro [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-by-metro/7ksc-i6kn
    Explore at:
    application/rssxml, xml, csv, tsv, json, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 24, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  3. a

    Home Sales Trends in the United States

    • attomdata.com
    attom api +4
    Updated Oct 3, 2018
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    ATTOM Data Solutions (2018). Home Sales Trends in the United States [Dataset]. https://www.attomdata.com/data/real-estate-market-analytics/sales-trend/
    Explore at:
    attom api, neighborhood navigator, excel, attom cloud, csvAvailable download formats
    Dataset updated
    Oct 3, 2018
    Dataset authored and provided by
    ATTOM Data Solutions
    Description

    Home sales data aggregated by boundaries (neighborhood, zip code, city, etc) in increments of month, quarter, or year

  4. Redfin properties dataset

    • crawlfeeds.com
    csv, zip
    Updated Jun 13, 2025
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    Crawl Feeds (2025). Redfin properties dataset [Dataset]. https://crawlfeeds.com/datasets/redfin-properties-dataset
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Our dataset features comprehensive housing market data, extracted from 250,000 records sourced directly from Redfin USA. Our Crawl Feeds team utilized proprietary in-house tools to meticulously scrape and compile this valuable data.

    Key Benefits of Our Housing Market Data:

    • In-Depth Market Analysis: Gain insights into the real estate market with up-to-date data on recently sold properties.

    • Price Trend Identification: Track and analyze price trends across different cities.

    • Accurate Price Estimation: Estimate property values based on key factors such as area, number of beds and baths, square footage, and more.

    • Detailed Real Estate Statistics: Access detailed statistics segmented by zip code, area, and state.

    Unlock the Power of Redfin Data for Real Estate Professionals

    Leveraging our Redfin properties dataset allows real estate professionals to make data-driven decisions. With detailed insights into property listings, sales history, and pricing trends, agents and investors can identify opportunities in the market more effectively. The data is particularly useful for comparing neighborhood trends, understanding market demand, and making informed investment decisions.

    Enhance Your Real Estate Research with Custom Filters and Analysis

    Our Redfin dataset is not only extensive but also customizable, allowing users to apply filters based on specific criteria such as property type, listing status, and geographic location. This flexibility enables researchers and analysts to drill down into the data, uncovering patterns and insights that can guide strategic planning and market entry decisions. Whether you're tracking the performance of single-family homes or exploring multi-family property trends, this dataset offers the depth and accuracy needed for thorough analysis.

    Looking for deeper insights or a custom data pull from Redfin?
    Send a request with just one click and explore detailed property listings, price trends, and housing data.
    🔗 Request Redfin Real Estate Data

  5. T

    Vital Signs: Home Prices by Metro Area (2022)

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Dec 2, 2022
    + more versions
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    (2022). Vital Signs: Home Prices by Metro Area (2022) [Dataset]. https://data.bayareametro.gov/Economy/Vital-Signs-Home-Prices-by-Metro-Area-2022-/rgc5-3kcq
    Explore at:
    application/rdfxml, csv, json, application/rssxml, tsv, xmlAvailable download formats
    Dataset updated
    Dec 2, 2022
    Description

    VITAL SIGNS INDICATOR
    Home Prices (EC7)

    FULL MEASURE NAME
    Home Prices

    LAST UPDATED
    December 2022

    DESCRIPTION
    Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE
    Zillow: Zillow Home Value Index (ZHVI) - http://www.zillow.com/research/data/
    2000-2021

    California Department of Finance: E-4 Historical Population Estimates for Cities, Counties, and the State - https://dof.ca.gov/forecasting/demographics/estimates/
    2000-2021

    US Census Population and Housing Unit Estimates - https://www.census.gov/programs-surveys/popest.html
    2000-2021

    Bureau of Labor Statistics: Consumer Price Index - http://data.bls.gov
    2000-2021

    US Census ZIP Code Tabulation Areas (ZCTAs) - https://www.census.gov/programs-surveys/geography/guidance/geo-areas/zctas.html
    2020 Census Blocks

    CONTACT INFORMATION
    vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator)
    Housing price estimates at the regional-, county-, city- and zip code-level come from analysis of individual home sales by Zillow based upon transaction records. Zillow Home Value Index (ZHVI) is a smoothed, seasonally adjusted measure of the typical home value and market changes across a given region and housing type. It reflects the typical value for homes in the 35th to 65th percentile range. ZHVI is computed from public record transaction data as reported by counties. All standard real estate transactions are included in this metric, including REO sales and auctions. Zillow makes a substantial effort to remove transactions not typically considered a standard sale. Examples of these include bank takeovers of foreclosed properties, title transfers after a death or divorce and non arms-length transactions. Zillow defines all homes as single-family residential, condominium and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that can be owned in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums in that the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Data is adjusted for inflation using Bureau of Labor Statistics metropolitan statistical area (MSA)-specific series. Inflation-adjusted data are presented to illustrate how home prices 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 the CPI itself.

  6. F

    Housing Inventory: Median Days on Market in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Median Days on Market in the United States [Dataset]. https://fred.stlouisfed.org/series/MEDDAYONMARUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 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: Median Days on Market in the United States (MEDDAYONMARUS) from Jul 2016 to Jul 2025 about median and USA.

  7. Annual home price appreciation in the U.S. 2025, by state

    • statista.com
    Updated Aug 11, 2025
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    Statista (2025). Annual home price appreciation in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1240802/annual-home-price-appreciation-by-state-usa/
    Explore at:
    Dataset updated
    Aug 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    House prices grew year-on-year in most states in the U.S. in the first quarter of 2025. Hawaii was the only exception, with a decline of **** percent. The annual appreciation for single-family housing in the U.S. was **** percent, while in Rhode Island—the state where homes appreciated the most—the increase was ******percent. How have home prices developed in recent years? House price growth in the U.S. has been going strong for years. In 2025, the median sales price of a single-family home exceeded ******* U.S. dollars, up from ******* U.S. dollars five years ago. One of the factors driving house prices was the cost of credit. The record-low federal funds effective rate allowed mortgage lenders to set mortgage interest rates as low as *** percent. With interest rates on the rise, home buying has also slowed, causing fluctuations in house prices. Why are house prices growing? Many markets in the U.S. are overheated because supply has not been able to keep up with demand. How many homes enter the housing market depends on the construction output, whereas the availability of existing homes for purchase depends on many other factors, such as the willingness of owners to sell. Furthermore, growing investor appetite in the housing sector means that prospective homebuyers have some extra competition to worry about. In certain metros, for example, the share of homes bought by investors exceeded ** percent in 2025.

  8. F

    Housing Inventory: Active Listing Count in the United States

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in the United States [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOUUS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 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 Jul 2025 about active listing, listing, and USA.

  9. U.S. Real Estate Inventory

    • dataandsons.com
    csv, zip
    Updated Jul 13, 2017
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    Sean Lux (2017). U.S. Real Estate Inventory [Dataset]. https://www.dataandsons.com/categories/sales-and-transactions/u-s-real-estate-inventory
    Explore at:
    csv, zipAvailable download formats
    Dataset updated
    Jul 13, 2017
    Dataset provided by
    Authors
    Sean Lux
    License

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

    Time period covered
    Feb 1, 2017 - Jun 1, 2017
    Description

    About this Dataset

    Complete listing of U.S. real estate inventory by zip code. Edited data set sourced from www.realtor.com for better clarity and easier use.

    Category

    Sales & Transactions

    Keywords

    Housing,realestate,listings,zipcode

    Row Count

    65501

    Price

    Free

  10. l

    60608 Zip Code Real Estate Analysis 2025

    • listalysis.com
    Updated Jul 30, 2025
    + more versions
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    Listalysis (2025). 60608 Zip Code Real Estate Analysis 2025 [Dataset]. https://listalysis.com/market-intelligence/zipcode/60608
    Explore at:
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    Listalysis
    Time period covered
    2025
    Area covered
    Illinois, Chicago
    Variables measured
    Housing Units, Market Velocity, Median Home Value, Economic Indicators, Home Appreciation Rate, Population Demographics
    Measurement technique
    Comprehensive market data analysis and demographic research
    Description

    Market statistics, demographics, housing data, and investment insights for real estate professionals

  11. l

    85308 Zip Code Real Estate Analysis 2025

    • listalysis.com
    Updated Jul 30, 2025
    + more versions
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    Listalysis (2025). 85308 Zip Code Real Estate Analysis 2025 [Dataset]. https://listalysis.com/market-intelligence/zipcode/85308
    Explore at:
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    Listalysis
    Time period covered
    2025
    Area covered
    Glendale, Arizona
    Variables measured
    Housing Units, Market Velocity, Median Home Value, Economic Indicators, Home Appreciation Rate, Population Demographics
    Measurement technique
    Comprehensive market data analysis and demographic research
    Description

    Market statistics, demographics, housing data, and investment insights for real estate professionals

  12. d

    All-Transactions House Price Index for Connecticut

    • catalog.data.gov
    • fred.stlouisfed.org
    • +1more
    Updated Aug 11, 2025
    + more versions
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    data.ct.gov (2025). All-Transactions House Price Index for Connecticut [Dataset]. https://catalog.data.gov/dataset/all-transactions-house-price-index-for-connecticut
    Explore at:
    Dataset updated
    Aug 11, 2025
    Dataset provided by
    data.ct.gov
    Area covered
    Connecticut
    Description

    The FHFA House Price Index (FHFA HPI®) is the nation’s only collection of public, freely available house price indexes that measure changes in single-family home values based on data from all 50 states and over 400 American cities that extend back to the mid-1970s. The FHFA HPI incorporates tens of millions of home sales and offers insights about house price fluctuations at the national, census division, state, metro area, county, ZIP code, and census tract levels. FHFA uses a fully transparent methodology based upon a weighted, repeat-sales statistical technique to analyze house price transaction data. ​ What does the FHFA HPI represent? The FHFA HPI is a broad measure of the movement of single-family house prices. The FHFA HPI is a weighted, repeat-sales index, meaning that it measures average price changes in repeat sales or refinancings on the same properties. This information is obtained by reviewing repeat mortgage transactions on single-family properties whose mortgages have been purchased or securitized by Fannie Mae or Freddie Mac since January 1975. The FHFA HPI serves as a timely, accurate indicator of house price trends at various geographic levels. Because of the breadth of the sample, it provides more information than is available in other house price indexes. It also provides housing economists with an improved analytical tool that is useful for estimating changes in the rates of mortgage defaults, prepayments and housing affordability in specific geographic areas. U.S. Federal Housing Finance Agency, All-Transactions House Price Index for Connecticut [CTSTHPI], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CTSTHPI, August 2, 2023.

  13. Vital Signs: Home Prices – Bay Area

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
    + more versions
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    Zillow (2019). Vital Signs: Home Prices – Bay Area [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Home-Prices-Bay-Area/vnvp-ma92
    Explore at:
    application/rssxml, csv, tsv, json, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Aug 21, 2019
    Dataset authored and provided by
    Zillowhttp://zillow.com/
    Area covered
    San Francisco Bay Area
    Description

    VITAL SIGNS INDICATOR Home Prices (EC7)

    FULL MEASURE NAME Home Prices

    LAST UPDATED August 2019

    DESCRIPTION Home prices refer to the cost of purchasing one’s own house or condominium. While a significant share of residents may choose to rent, home prices represent a primary driver of housing affordability in a given region, county or city.

    DATA SOURCE Zillow Median Sale Price (1997-2018) http://www.zillow.com/research/data/

    Bureau of Labor Statistics: Consumer Price Index All Urban Consumers Data Table (1997-2018; specific to each metro area) http://data.bls.gov

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Median housing price estimates for the region, counties, cities, and zip code come from analysis of individual home sales by Zillow. The median sale price is the price separating the higher half of the sales from the lower half. In other words, 50 percent of home sales are below or above the median value. Zillow defines all homes as single-family residential, condominium, and co-operative homes with a county record. Single-family residences are detached, which means the home is an individual structure with its own lot. Condominiums are units that you own in a multi-unit complex, such as an apartment building. Co-operative homes are slightly different from condominiums where the homeowners own shares in the corporation that owns the building, not the actual units themselves.

    For metropolitan area comparison values, the Bay Area metro area’s median home sale price is the population-weighted average of the nine counties’ median home prices. Home sales prices are not reliably available for Houston, because Texas is a non-disclosure state. For more information on non-disclosure states, see: http://www.zillow.com/blog/chronicles-of-data-collection-ii-non-disclosure-states-3783/

    Inflation-adjusted data are presented to illustrate how home prices have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  14. d

    Maryland Total Residential Sales 2010 - 2022 Zip Codes

    • catalog.data.gov
    • opendata.maryland.gov
    Updated Jan 3, 2025
    + more versions
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    opendata.maryland.gov (2025). Maryland Total Residential Sales 2010 - 2022 Zip Codes [Dataset]. https://catalog.data.gov/dataset/maryland-total-residential-sales-2010-2022-zip-codes
    Explore at:
    Dataset updated
    Jan 3, 2025
    Dataset provided by
    opendata.maryland.gov
    Area covered
    Maryland
    Description

    Dataset includes total residential sales by zip code for 2010-2022. When a zip code crosses a county boundary, it is split into two records by county.

  15. l

    90280 Zip Code Real Estate Analysis 2025

    • listalysis.com
    Updated Aug 5, 2025
    + more versions
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    Listalysis (2025). 90280 Zip Code Real Estate Analysis 2025 [Dataset]. https://listalysis.com/market-intelligence/zipcode/90280
    Explore at:
    Dataset updated
    Aug 5, 2025
    Dataset authored and provided by
    Listalysis
    Time period covered
    2025
    Area covered
    California, South Gate
    Variables measured
    Housing Units, Market Velocity, Median Home Value, Economic Indicators, Home Appreciation Rate, Population Demographics
    Measurement technique
    Comprehensive market data analysis and demographic research
    Description

    Market statistics, demographics, housing data, and investment insights for real estate professionals

  16. F

    Housing Inventory: Active Listing Count in Florida

    • fred.stlouisfed.org
    json
    Updated Jul 31, 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 31, 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 Jul 2025 about active listing, FL, listing, and USA.

  17. Zillow Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 23, 2024
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    Bright Data (2024). Zillow Datasets [Dataset]. https://brightdata.com/products/datasets/zillow
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Gain a complete view of the real estate market with our Zillow datasets. Track price trends, rental/sale status, and price per square foot with the Zillow Price History dataset and explore detailed listings with prices, locations, and features using the Zillow Properties Listing dataset. Over 134M records available Price starts at $250/100K records Data formats are available in JSON, NDJSON, CSV, XLSX and Parquet. 100% ethical and compliant data collection Included datapoints:

    Zpid
    City
    State
    Home Status
    Street Address
    Zipcode
    Home Type
    Living Area Value
    Bedrooms
    Bathrooms
    Price
    Property Type
    Date Sold
    Annual Homeowners Insurance
    Price Per Square Foot
    Rent Zestimate
    Tax Assessed Value
    Zestimate
    Home Values
    Lot Area
    Lot Area Unit
    Living Area
    Living Area Units
    Property Tax Rate
    Page View Count
    Favorite Count
    Time On Zillow
    Time Zone
    Abbreviated Address
    Brokerage Name
    And much more
    
  18. l

    11206 Zip Code Real Estate Analysis 2025

    • listalysis.com
    + more versions
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    Listalysis, 11206 Zip Code Real Estate Analysis 2025 [Dataset]. https://listalysis.com/market-intelligence/zipcode/11206
    Explore at:
    Dataset authored and provided by
    Listalysis
    Time period covered
    2025
    Area covered
    Brooklyn, New York
    Variables measured
    Housing Units, Market Velocity, Median Home Value, Economic Indicators, Home Appreciation Rate, Population Demographics
    Measurement technique
    Comprehensive market data analysis and demographic research
    Description

    Market statistics, demographics, housing data, and investment insights for real estate professionals

  19. F

    Housing Inventory: Active Listing Count in Atlanta-Sandy Springs-Roswell, GA...

    • fred.stlouisfed.org
    json
    Updated Jul 31, 2025
    + more versions
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    (2025). Housing Inventory: Active Listing Count in Atlanta-Sandy Springs-Roswell, GA (CBSA) [Dataset]. https://fred.stlouisfed.org/series/ACTLISCOU12060
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 31, 2025
    License

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

    Area covered
    Atlanta Metropolitan Area, Georgia
    Description

    Graph and download economic data for Housing Inventory: Active Listing Count in Atlanta-Sandy Springs-Roswell, GA (CBSA) (ACTLISCOU12060) from Jul 2016 to Jul 2025 about Atlanta, GA, active listing, listing, and USA.

  20. l

    969 Zip Code Real Estate Analysis 2025

    • listalysis.com
    Updated Jul 30, 2025
    + more versions
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    Listalysis (2025). 969 Zip Code Real Estate Analysis 2025 [Dataset]. https://listalysis.com/market-intelligence/zipcode/969
    Explore at:
    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    Listalysis
    Time period covered
    2025
    Area covered
    Aguadilla, Puerto Rico
    Variables measured
    Housing Units, Market Velocity, Median Home Value, Economic Indicators, Home Appreciation Rate, Population Demographics
    Measurement technique
    Comprehensive market data analysis and demographic research
    Description

    Market statistics, demographics, housing data, and investment insights for real estate professionals

Share
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(2025). Average Sales Price of Houses Sold for the United States [Dataset]. https://fred.stlouisfed.org/series/ASPUS

Average Sales Price of Houses Sold for the United States

ASPUS

Explore at:
36 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 24, 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 Average Sales Price of Houses Sold for the United States (ASPUS) from Q1 1963 to Q2 2025 about sales, housing, and USA.

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