US House Price Index (Case-Shiller)
| Files | Size | Format | Created | Updated | License | Source |
|---|---|---|---|---|---|---|
| 1 | 53.5 kB | csv | Open Data Commons Public Domain Dedication and License v1.0 | Standard and Poors Case-Shiller Indices |
Case-Shiller Index of US residential house prices. Data comes from S\&P Case-Shiller data and includes both the national index and the indices for 20 metropolitan regions. The indices are created usin...
Data Views
Data Files
| File | Description | Size | Last modified | Download |
|---|---|---|---|---|
cities | Case-Shiller US home price index levels at national and city level. Monthly. | 53.5 kB | data/cities-month.csv |
Data Previews
cities
Case-Shiller Index of US residential house prices. Data comes from S&P Case-Shiller data and includes both the national index and the indices for 20 metropolitan regions. The indices are created using a repeat-sales methodology.
Data
As per the home page for Indices on S&P website:
The S&P/Case-Shiller U.S. National Home Price Index is a composite of
single-family home price indices for the nine U.S. Census divisions and is
calculated monthly. It is included in the S&P/Case-Shiller Home Price Index
Series which seeks to measure changes in the total value of all existing
single-family housing stock.
Documentation of the methodology can be found at
Key points are (excerpted from methodology):
- The indices use the "repeat sales method" of index calculation which uses data on properties that have sold at least twice, in order to capture the true appreciated value of each specific sales unit.
- The quarterly S&P/Case-Shiller U.S. National Home Price Index aggregates nine quarterly U.S. Census division repeat sales indices using a base period a nd estimates of the aggregate value of single family housing stock for those periods.
- The S&P/Case - Shiller Home Price Indices originated in the 1980s by Case Shiller Weiss's research principals, Karl E. Case and Robert J. Shiller. At the time, Case and Shiller developed the repeat sales pricing technique. This methodology is recognized as the most reliable means to measure housing price movements and is used by other home price ind ex publishers, including the Office of Federal Housing Enterprise Oversight (OFHEO)
Preparation
To download and process the data do:
python scripts/process.py
Updated data files will then be in data directory.
Note: the URLs and structure of the source data have evolved over time with the source data URLs changing on every release.
Originally (2013) the site provided a table of links but these are not direct file URLs and you have dig around in S&P's javascript to find the actual download locations. As of mid-2014 the data is consolidated in one primary XLS but the HTML you see in your browser and the source HTML are different. In addition, the actual location of the XLS file continues to change on each release.
License
Any rights of the maintainer are licensed under the PDDL. Exact legal status of source data (and hence of resulting processe data) is unclear but could have a presumption of public domain given its factual nature and US provenance. However, the current application of PDDL is indicative of maintainers best-guess (and comes with no warranty).