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Historical US Housing Market Sale Price Data
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About
The Median Sale Price of Houses Sold for the United States, spanning from the start of 1963 through to the beginning of 2022. The values are quoted in US dollars and reflect raw data that is not seasonally adjusted. This makes the dataset essential for tracking long-term shifts in residential property values and studying the direct impact of macroeconomic factors on the American housing market.
Columns
The dataset contains two key fields necessary for tracking quarterly price movements:
- DATE: The temporal marker for each quarterly measurement, ranging from 1st January 1963 to 1st January 2022.
- MSPUS: The Median house price, recorded in US dollars. The observed prices range widely over the period, from a minimum of approximately 17.8 thousand to a maximum of 429 thousand.
Distribution
The data file is typically provided in CSV format and is referenced as MSPUS.csv. The structure is clean, featuring 2 columns and consisting of 237 valid records. The dataset is notable for its quality, showing zero missing or mismatched data points. Data collection follows a quarterly frequency.
Usage
This data product is highly suited for several advanced analytical tasks:
- Exploratory Data Analysis (EDA): Analysing cycles and structural changes within the US property sector.
- Time Series Analysis: Developing and validating predictive models for future housing costs.
- Neural Networks: Training machine learning algorithms for economic forecasting based on historical trends.
Coverage
The geographic scope is the United States. The time range extends from 1963 to 2022. All expected quarterly measurements (237 records) are present for this period. A key attribute of this data is that the prices are provided without seasonal adjustment. The data is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for users requiring reliable, long-term economic indicators:
- Financial Analysts and Economists: To model housing affordability, track inflation, and study the influence of monetary policy on asset values.
- Data Scientists: For creating sophisticated time series models and algorithms.
- Academic Researchers: Performing quantitative studies on US economic history and residential markets.
Dataset Name Suggestions
- US Quarterly Median Home Prices (1963-2022)
- Historical US Housing Market Sale Price Data
- American Residential Property Index (1963-2022)
Attributes
Original Data Source: Historical US Housing Market Sale Price Data
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Download Dataset in CSV Format
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