rdadata 1.1.1

Redistricting analytics data

rdadata

Redistricting analytics data

Installation

To get the data locally, clone the repository:

$ git clone https://github.com/alecramsay/rdadata
$ cd rdadata

To use the helper code, install the package:

$ pip install rdadata

Data

The data are stored in the data directory by state. These pages describe each dataset:

• Data: Census and election data by precinct.
• Shapes: Shape properties by precinct.
• Graph: Precinct adjacency graph.

Some application helpers are described here:

• Scripts: Scripts to re-format the data for specific applications.
• Functions: Functions to re-format the data for specific applications.

Sources

The data comes from the following sources:

• The total census population & VAP demographics data comes from the 2020_census_XX-N.csv in the DRA vtd_data GitHub repository, where XX is the state abbreviation and N is the suffix. We take the latest version of the data, which is the one with the highest N.
• The election data comes from the 2020_election_XX-N.csv in the same repo.
• The shapes are copies of tl_2020_FF_vtd20.zip from the Census Bureau, where FF is the state FIPS code, e.g., 37 for North Carolina.

Some things to be aware of:

• If it exists, we use the adjusted population data instead of the official 2020 census total population data.
• For Florida, the official VTDs from the Census Bureau are bad. We used DRA's corrected precinct shapes (GeoJSON), removed the intersections, and then converted it to a shapefile.
• We simplify the precinct shapes (see extract_shape_data.py) to approximate the simplification that DRA does, so compactness measurements align.

Testing

$ pytest