Robin Hood (Pietra) Index Calculator
Compute the Robin Hood (Pietra) inequality index as the total absolute deviation of incomes from the mean divided by twice the aggregate income.
Description
Compute the Robin Hood (Pietra) inequality index as the total absolute deviation of incomes from the mean divided by twice the aggregate income.
Robin Hood (Pietra) Index Calculator is a focused tool for the following task. Compute the Robin Hood (Pietra) inequality index as the total absolute deviation of incomes from the mean divided by twice the aggregate income. It reports Robin Hood index from the values you provide rather than inventing measurements, coefficients, or professional judgment that are not part of the input.
When to use Robin Hood (Pietra) Index
Use this sociology calculation to reproduce a named demographic, inequality, mobility, urban, or survey measure when the population, period, categories, and coding rules are explicit.
- Incomes
- Required list. Income values in the distribution.
The cited overview of Sociology supplies background for the terminology and domain context used by this tool.1
How Robin Hood (Pietra) Index works
Compute the Robin Hood (Pietra) inequality index as the total absolute deviation of incomes from the mean divided by twice the aggregate income. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.
- Robin Hood index
- Returned number. Share of total income that would need to move to reach perfect equality.
Limitations and assumptions
- Definitions, sampling error, missing data, historical context, geographic boundaries, weighting, and classification choices can materially change social indicators and their interpretation.
- Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.
Alternative or Complementary approaches
Report the source population and uncertainty, inspect disaggregated data, and compare multiple accepted indicators rather than treating one summary statistic as a complete social explanation.
References
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Sociology — Wikipedia contributors
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