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FEMA data check (#1270)

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we wanted to implement a slightly different FEMA AG LOSS indicator. Here, we take the 90th percentile only of tracts that have agvalue, and then we also floor the denominator of the rate calculation (loss/total value) at $408k
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Emma Nechamkin 2022-02-17 16:53:04 -05:00 • committed by GitHub
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data/data-pipeline/data_pipeline/score/field_names.py
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@ -328,6 +328,7 @@ EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD = (
f"Greater than or equal to the {PERCENTILE}th percentile"
f" for expected building loss rate and is low income?"
)
AGRICULTURAL_VALUE_BOOL_FIELD = "Contains agricultural value"
# Clean energy and efficiency
PM25_EXPOSURE_LOW_INCOME_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for PM2.5 exposure and is low income?"