US Amateur License Holders Demographics
Paper about this work: https://github.com/Abraxas3d/Demographics/blob/master/Who-We-Are.pdf
Video presentation at RATPAC 26 January 2022
This is a python script that uses the publicly available FCC database as a source of licensee name and address information, a machine learning algorithm that assigns gender to first name, and a zipcode search that uses census information to make a probabalistic guess about race of the license holder based on where they live.
The information is presented as text results and as a folium choropleth map of licensee intensity per zip code. California is used as the example choropleth.
There are some obvious improvements, the first of which is to move from zip code to more proper geotagging. The second of which is to create an interactive online map of the entire United States, and not just export a local html of California.
Feedback, comment, critique, improvements, and collaboration are welcome and encouraged.
FCC licensing database dumps: https://www.fcc.gov/uls/transactions/daily-weekly Database dump documentation: https://www.fcc.gov/wireless/data/public-access-files-database-downloads Further details the database dump documentation expects you to know: https://wireless2.fcc.gov/helpfiles/licenseSearch/helpLand.html