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The GINI Index of Income Inequality datasets are reported once per year by the United States Census. Through statistical means, the data reflect the income dispersion across a defined boundary. The dataset is available to download through the Urban SDK Data Hub for the years 2015 - 2020. The data has been aggregated to the census tract.
Census GINI Index Definition
The GINI index is a statistical measure, used to explain income inequality. The index calculates a value between 0 -1. GINI values of 0 indicate perfect equality (where the population receives an equal share), to 1, perfect inequality (where only one recipient or group of recipients in the population receives all of the income).
The GINI coefficient is calculated by the mathematical difference between the Lorenz curve (the observed cumulative income distribution) and the notion of perfectly equal income distribution.
GINI Coefficient Categories
Scores range from 0 to 1
Zero = perfect equality
1 = perfect inequality
Census GINI Index Parameters: Census.gov
Census GINI Index Schema
The dataset is available in JSON, Shapefile, GEOJSON, and CSV file types.
14-digit code relating the data to the correct geolocation
The unique identifier provided by the US Census for each census tract
GINI calculation of equality (between 0-1)
Year data was collected
Name of the county that the census tract resides in
Name of the state that the census tract resides in
The GIS information required for the computer to read the mapping file
MULTILINESTRING ((-81.59791 30.24124, -81.59801 30.24135))
The “GEO.ID” field contains 14-digit codes that identify the summary level of data, the geographic component of the data, and FIPS codes that uniquely identify the data. For example, the 14-digit “GEO.ID” for Harris County, TX is “0500000US48201” where “050” represents the summary level of the data, “0000” represents the 2-digit geographic variant, and the 2-digit geographic component, “US” represents the United States, “48” represents the state of Texas and “201” represents Harris County.