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lucasmbrown-usds 2022-09-28 17:02:54 -04:00
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data/data-pipeline/data_pipeline/etl/sources/geocorr_alternatives/etl.py
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@ -11,7 +11,25 @@ logger = get_module_logger(__name__)
class GeoCorrAlternativesETL(ExtractTransformLoad):
"""Calculates overlap between Census tracts & various alternative geographies."""
"""Calculates overlap between Census tracts & various alternative geographies.
Note: for almost all 2020 zip codes in the USA (33,781 zip codes), this ETL
divides them into census tracts such that 100% of the zip code is represented
within the census tracts in the output of this file.
For a very small number of 2020 zip codes in the USA (9 zip codes), this ETL
only matches 98% of more of the zip code into tracts. For one 2020 zip code, this
ETL only matches 86% of the tract.
The reason for these 10 outliers is unclear.
Here are the value counts for `PERCENT_OF_ZIP_CODE_IN_TRACT` aggregated at two
digits of precision:
1.00 33781
0.99 7
0.98 2
0.86 1
"""
NAME = "geocorr_alternatives"
GEO_LEVEL = ValidGeoLevel.CENSUS_TRACT