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US National and Regional Housing Market Analytics
Comodities & Real Estate
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About
Tracking the value fluctuations of single-family homes across the United States provides a vital barometer for the health of the national economy. By utilising weighted, repeat-sales methodologies, these records capture the average price changes occurring in repeat sales or refinancings of the same properties. This specific approach, derived from mortgage transactions purchased or securitised by Fannie Mae and Freddie Mac, offers a stable view of residential property trends over several decades, making it a cornerstone for understanding real estate market dynamics and inflationary pressures in the housing sector.
Columns
- hpi_type: Categorises the index type, such as traditional or non-metro designations.
- hpi_flavor: Specifies the transactional focus, including purchase-only or all-transaction models.
- frequency: Indicates the reporting interval, which is typically monthly or quarterly.
- level: Denotes the geographic granularity, ranging from state level to Metropolitan Statistical Areas (MSA) and census divisions.
- place_name: The descriptive name of the geographic location or region being measured.
- place_id: A unique code identifying the specific location or region for data mapping.
- yr: The calendar year associated with the price index measurement, beginning in 1975.
- period: The specific month or quarter within the year represented by the record.
- index_nsa: The non-seasonally adjusted house price index value.
- index_sa: The seasonally adjusted house price index value, which provides a smoothed trend by removing predictable seasonal patterns.
Distribution
The data is provided in a CSV file titled
HPI_master.csv with a size of 11.33 MB. It contains approximately 115,000 valid records across 10 distinct columns. The resource maintains a perfect usability score of 10.00, with zero missing or mismatched entries in the primary fields, ensuring high integrity for statistical analysis.Usage
This collection is ideal for economists performing longitudinal studies on US housing market inflation and for financial analysts assessing mortgage credit risk. It can be used to build predictive models for regional real estate trends or to compare the price volatility of different Metropolitan Statistical Areas over the last half-century. Additionally, it serves as a benchmark for government agencies and policy makers to evaluate the impact of housing initiatives on property values.
Coverage
The geographic scope is the United States, with specific data available at the state, census division, and MSA levels. The temporal range is extensive, spanning from January 1975 through to 2021. While the records are geographically diverse, they are specifically tied to properties with mortgages purchased or securitised by Fannie Mae or Freddie Mac.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Financial analysts can leverage these records to adjust property valuations for inflation or broader market shifts. Academic researchers can utilise the repeat-sales data to study long-term economic cycles and the effects of financial crises on home equity. Furthermore, real estate developers and investors may find the regional granularity useful for identifying high-growth MSAs for future residential projects.
Dataset Name Suggestions
- FHFA US Residential House Price Index (1975-2021)
- Historical US Single-Family Home Value Trends
- Fannie Mae and Freddie Mac Repeat-Sales Property Index
- US National and Regional Housing Market Analytics
- Longitudinal House Price Index for MSAs and States
Attributes
Original Data Source: US National and Regional Housing Market Analytics
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