censuscoding 0.1.0

Censuscoding: determine the Census blockgroup for a street address

censuscoding

censuscoding is a self-contained tool for determining the Census blockgroup for a street address. It is developed by Research Improving People's Lives (RIPL).

Installation

Due to outstanding bugs in dependencies introduced in Python 3.10.0, censuscoding requires Python >=3.7 and <3.10.

To install from PyPI using pip:
pip install censuscoding

To install a development version from the current directory:
pip install -e .

Running

There is a single command line script included, censuscoding.

censuscoding supports the following arguments:

• --input or -i - path to an input CSV file containing columns record_id, zip_code, and address
• --output or -o - path to output CSV file containing record_id, zip_code, blkgrp
• --record_id - field name corresponding to the record ID (default: 'record_id')
• --zip_code - field name corresponding to the zip code (default: 'zip_code')
• --address - field name corresponding to the street address with street name and number (default: 'address')

Contributors

• Mark Howison
• Daniel Molitor

License

censuscoding is freely available for non-commercial use under the license provided in LICENSE. To inquiry about commercial use, please contact [e-mail].

Data

Data included in the censuscoding package were derived from the following sources:

Rhode Island Geographic Information System E911 Site/Structure Address Points

Version e911Sites21r1.

These data are designed and maintained for RI E 9-1-1 mapping software. They are not intended for any other purpose. This dataset is provided 'as is.’ The producer(s) of this dataset, contributors to this dataset, the Rhode Island Geographic Information System (RIGIS) consortium, the State of Rhode Island, and the University of Rhode Island do not make any warranties of any kind for this dataset, and are not liable for any loss or damage however and whenever caused by any use of this dataset. Please acknowledge both RIGIS and the primary producer(s) of this dataset in any derived products. Versions of the RIGIS logo suitable for both printed and web-based products are available at https://www.rigis.org.

US Census Bureau TIGER/Line Shapefiles

Version 2020.