2 datasets found
  1. House Prices US Shiller

    • kaggle.com
    zip
    Updated Oct 28, 2025
    + more versions
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    yedige ashmet (2025). House Prices US Shiller [Dataset]. https://www.kaggle.com/datasets/yedigeashmet/house-prices
    Explore at:
    zip(51570 bytes)Available download formats
    Dataset updated
    Oct 28, 2025
    Authors
    yedige ashmet
    License

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

    Area covered
    United States
    Description

    Case-Shiller Index of U.S. Residential House Prices

    This dataset provides comprehensive insights into U.S. residential house prices through the S&P Case-Shiller Home Price Index, which includes both the national index and indices for 20 metropolitan regions. The data is derived from the S&P Case-Shiller Index, a widely recognized and reliable measure of U.S. housing price movements. It is updated monthly and utilizes the "repeat sales method" to track the price changes of the same properties over time, making it an accurate reflection of housing appreciation.

    Data Overview

    The dataset includes: - S&P/Case-Shiller U.S. National Home Price Index: A composite index of single-family home prices across nine U.S. Census divisions. - Indices for 20 Metropolitan Regions: Regional indices that highlight housing price trends in major U.S. cities.

    Key Methodology

    The index uses a "repeat sales" approach, which tracks properties that have been sold at least twice to capture changes in their value over time. This method minimizes biases from changes in housing stock or individual property characteristics. The index originated in the 1980s through the work of Karl E. Case and Robert J. Shiller, pioneers in developing the repeat sales technique. It remains one of the most trusted tools for measuring U.S. housing market trends.

    The indices are used widely by policymakers, economists, and analysts to gauge housing market conditions and make informed decisions.

    Use Cases

    This dataset can be used for: - Housing Market Analysis: Track trends in national and metropolitan housing prices. - Econometric Modeling: Analyze the relationship between housing prices and macroeconomic factors. - Forecasting: Build models to predict future housing market movements.

    Source

    Data sourced from: https://github.com/datasets/house-prices-us Original source: https://datahub.io/core/house-prices-us

  2. F

    S&P CoreLogic Case-Shiller NY-New York Home Price Index

    • fred.stlouisfed.org
    json
    Updated Nov 25, 2025
    + more versions
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    (2025). S&P CoreLogic Case-Shiller NY-New York Home Price Index [Dataset]. https://fred.stlouisfed.org/series/NYXRSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    New York
    Description

    Graph and download economic data for S&P CoreLogic Case-Shiller NY-New York Home Price Index (NYXRSA) from Jan 1987 to Sep 2025 about New York, NY, HPI, housing, price index, indexes, price, and USA.

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
yedige ashmet (2025). House Prices US Shiller [Dataset]. https://www.kaggle.com/datasets/yedigeashmet/house-prices
Organization logo

House Prices US Shiller

Tracking U.S. Residential Housing Prices Using the S&P Case-Shiller Index

Explore at:
zip(51570 bytes)Available download formats
Dataset updated
Oct 28, 2025
Authors
yedige ashmet
License

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

Area covered
United States
Description

Case-Shiller Index of U.S. Residential House Prices

This dataset provides comprehensive insights into U.S. residential house prices through the S&P Case-Shiller Home Price Index, which includes both the national index and indices for 20 metropolitan regions. The data is derived from the S&P Case-Shiller Index, a widely recognized and reliable measure of U.S. housing price movements. It is updated monthly and utilizes the "repeat sales method" to track the price changes of the same properties over time, making it an accurate reflection of housing appreciation.

Data Overview

The dataset includes: - S&P/Case-Shiller U.S. National Home Price Index: A composite index of single-family home prices across nine U.S. Census divisions. - Indices for 20 Metropolitan Regions: Regional indices that highlight housing price trends in major U.S. cities.

Key Methodology

The index uses a "repeat sales" approach, which tracks properties that have been sold at least twice to capture changes in their value over time. This method minimizes biases from changes in housing stock or individual property characteristics. The index originated in the 1980s through the work of Karl E. Case and Robert J. Shiller, pioneers in developing the repeat sales technique. It remains one of the most trusted tools for measuring U.S. housing market trends.

The indices are used widely by policymakers, economists, and analysts to gauge housing market conditions and make informed decisions.

Use Cases

This dataset can be used for: - Housing Market Analysis: Track trends in national and metropolitan housing prices. - Econometric Modeling: Analyze the relationship between housing prices and macroeconomic factors. - Forecasting: Build models to predict future housing market movements.

Source

Data sourced from: https://github.com/datasets/house-prices-us Original source: https://datahub.io/core/house-prices-us

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