GiniIndex

adrio.acs5.GiniIndex(self, *, fix_insufficient_data=False, fix_missing=False)

Loads Gini Index data from the US Census ACS 5-Year Data (variable B19083_001E). This is a measure of income inequality on a scale from 0 (perfect equality) to 1 (perfect inequality). ACS5 data is compiled from surveys taken during a rolling five year period, and as such are estimates.

Data is available using CensusScope geographies, from StateScope down to BlockGroupScope (aggregates are computed by the Census Bureau). Data is loaded according to the scope’s year, from 2009 to 2023.

The result is an N-shaped array of floats.

Parameters

fix_insufficient_data: Fill[np.float64] | int | Callable[[], int] | Literal[False] = False

The method to use to fix values for which there were insufficient data to report (sentinel value: -666666666).

fix_missing: Fill[np.float64] | int | Callable[[], int] | Literal[False] = False

The method to use to fix missing values.

See Also

The ACS 5-Year documentation from the US Census, and general info on the Gini index.

Attributes

result_format: ResultFormat[np.float64]

Information about the format of the ADRIO’s resulting data.

This is an abstract method.

Methods

Name	Description
estimate_data	Estimate the data usage for this ADRIO in a RUME.
with_context	Constructs a clone of this instance which has access to the given context.
inspect	Produce an inspection of the ADRIO’s data for the current context.
evaluate	Evaluates the ADRIO in the current context.