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Georgia Civic Data

For analysts and developers

Georgia data in R and Python

Two free packages bring every Georgia Civic Data dataset into your analysis as a data frame. Both read the same API as the rest of this site, need no API key or sign-up, and share the same functions.

R

georgiacivicdata

Returns tibbles, and school attendance zones and district boundaries as sf objects, ready to map. Every function starts with gcd_, such as gcd_search() and gcd_rows(). Install it from CRAN:

install.packages("georgiacivicdata")
Read the R documentationllms.txt for AI agents

Python

georgiacivicdata

Returns pandas data frames, or Polars ones if you ask, and school attendance zones and district boundaries as geopandas GeoDataFrame objects. Its functions match the R package’s without the prefix, such as gcd.search() and gcd.rows(). Install it from PyPI:

pip install georgiacivicdata

Add Polars and geopandas with the extras:

pip install "georgiacivicdata[polars,geo]"
Read the Python documentationllms.txt for AI agents

What both packages do

  • Find datasets. Search the catalog in plain words, or list it all.
  • Read the documentation. See each dataset’s columns, units, source, and limits before you download it.
  • Get rows with consistent types. Filter by year, place, and group. Codes stay text so leading zeros survive, years are integers, and rates are proportions between 0 and 1.
  • Use names, not codes. Filter by a school, district, or county name; every row carries the name beside the code.
  • Map school zones and locate places. Get attendance zones and district boundaries, and find the county, census tract, school district, and zoned schools for a point or street address.
  • Cite the data. Write the credit line for any result.

Prefer to work without a package? The API serves the same data as JSON, CSV, or Parquet.

For AI agents

Every page of both documentation sites has a Markdown version: add .md to its address. Each site also has an index for agents: R llms.txt and Python llms.txt.

License

The packages’ code is MIT-licensed. The data they return is licensed CC BY 4.0: credit Georgia Civic Data and the original source. gcd_citation() in R and gcd.citation() in Python write the credit line for you. How to credit us.