Jupyter notebook outlines how the census data was processed and labeled
00_AllData_CleanandCombine.ipynb: Reads, cleans, and concats the Census and HOLC data.01_Census_LabelingandCrosswalk.ipynb: Details method for crosswalk to 1940s Census tract boundaries and labeling tracts with HOLC grade.
- The Census data used fhere is from the IPUMS National Historical GIS database, which you can download from the site (and cite accordingly!).
- The HOLC data is from the Mapping Inequality project. You can contact them to request the ata.
If you would like to use the code from this repo, please use the following citation:
@article{doi:10.1080/10511482.2020.1858924,
author = {Wenfei Xu},
title = {Legacies of Institutionalized Redlining: A Comparison Between Speculative and Implemented Mortgage Risk Maps in Chicago, Illinois},
journal = {Housing Policy Debate},
volume = {0},
number = {0},
pages = {1-26},
year = {2021},
publisher = {Routledge},
doi = {10.1080/10511482.2020.1858924},
URL = {
https://doi.org/10.1080/10511482.2020.1858924
}