CensusForge 1.0.0

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CensusForge

[!IMPORTANT]
Project development has moved to Codeberg

[!WARNING]
This project is still in development and may change very quickly. I will add more functionality in the future but this contains the bare minimum to support the needs of the project.

CensusForge is a Python toolkit for retrieving data from the U.S. Census API while also leveraging a local SQLite metadata database for fast lookups, the SQLite database creation repo can be found in this link in GitHub. It simplifies working with Census datasets by providing a unified interface for:

• Downloading and caching geographic files
• Querying the Census API
• Looking up dataset, variable, year, and geography metadata
• Returning results as Polars or GeoPandas objects

CensusForge consists of two main classes:

• DataPull – Handles local metadata queries and file downloads
• CensusAPI – Extends DataPull and adds direct Census API querying

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Installation

pip install CensusForge

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Quick Start Example

The following example shows how to query the Census API using the CensusAPI class.

from CensusForge import CensusAPI

def main():
    ca = CensusAPI()
    print(
        ca.query(
            dataset="acs-acs1-pumspr",
            year=2019,
            params_list=["AGEP", "SCH", "SCHL", "HINCP", "PWGTP", "PUMA"],
        )
    )

if __name__ == "__main__":
    main()

Running the above will:

1. Look up the dataset in the local metadata database
2. Construct the correct Census API URL
3. Fetch the API response
4. Convert it to a Polars DataFrame

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Project Structure

CensusForge/
│
├── CensusAPI.py       # CensusAPI and DataPull classes
├── database.db        # Local SQLite metadata database
├── jp_tools/          # Utility functions (e.g., file download helper)
│
├── data/              # Output directory for downloaded/cached files
└── README.md          # Project documentation

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API Overview

CensusAPI

query(dataset, params_list, year, extra="") → pl.DataFrame

Query a Census dataset using any set of variables or geography parameters.

Example

ca.query(
    dataset="acs-acs1-pumspr",
    year=2019,
    params_list=["AGEP", "HINCP", "PUMA"],
    extra="&for=state:*"
)

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Metadata Helpers (inherited from DataPull)

Method	Description
get_database(id)	Returns dataset name for ID
get_database_id(name)	Returns dataset ID
get_year(id)	Returns year for ID
get_year_id(year)	Returns year ID
get_variable_id(name)	Returns variable ID
get_geo_id(name)	Returns geography type ID
get_geo_years(dataset_id, geo_id)	Returns valid years for a dataset+geography

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Geospatial Tools

pull_geos(url, filename) → gpd.GeoDataFrame

Downloads a geographic file (if missing), caches it as Parquet, and returns a GeoDataFrame.

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Requirements

• Python 3.9+
• DuckDB
• GeoPandas
• Polars
• Requests
• jp_tools (for download helper)

Install dependencies:

pip install -r requirements.txt

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Development

To run tests or modify the project:

git clone https://github.com/yourusername/CensusForge.git
cd CensusForge
pip install -e .

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Cite

@software{ouslan2026censusforge,
    author       = {Ouslan, Alejandro},
    title        = {CensusForge},
    month        = jan,
    year         = 2026,
    publisher    = {Zenodo},
    version      = {0.5.0},
    doi          = {10.5281/zenodo.18121581},
    url          = {https://doi.org/10.5281/zenodo.18121581}
}

License

This project is licensed under the GNU General Public License v3.0 (GPL-3.0).

You may copy, modify, and distribute this software only under the terms of the GPL-3.0 license.

Full license text: https://www.gnu.org/licenses/gpl-3.0.en.html