Limited English Proficiency (LEP) Calculations and Outputs

This project automates DVRPC's Limited English Proficiency (LEP) analysis, including data download, processing, and output of geospatial datasets. This analysis is based on the US Census American Community Survey 5 Year Estimates for Tract and Public Use Microdata Area (PUMAs) geographies.

Run

1. Clone the repo

   git clone https://github.com/dvrpc/lep.git

2. Create a Python virtual environment with dependencies

   Working in the repo directory from your terminal:

   cd \lep
   

   • create new venv

   python -m venv venv

   • activate venv

   .\venv\scripts\activate
   

   • install requirements

   pip install -r requirements.txt
   

3. Modify year variable in lep.py to accommodate most recent 5 year period.

4. Start the process

   python lep.py
   

Output

./output/lep_puma.geojson
./output/lep_tract.geojson
./output/long_puma_calcs.csv