Overview

Urban sociologists, economists, and community development scholars write convincingly about the dangers of concentrated poverty, especially in cities. Unfortunately, none of the local poverty indicators published by the Census Bureau are particularly good at measuring concentrated poverty. This working paper by Professor Emeritus of City Planning John Landis demonstrates how certain statistical measures can be used to reliably track concentrated poverty at the local level and to compare its incidence by race and ethnicity.

Key Message

The use of a Gini coefficient-like measure can be used to reliably track concentrated poverty at the local level and to compare its incidence by race and ethnicity. As demonstrated, the TCPI (and the Lorenz Curve-like diagrams it is calculated from) provides a more complete means of understanding the demographic incidence of poverty than simple poverty rates. Hopefully, the TCPI and other similar measures be used to help build a broader constituency for political and policy efforts intended to combat poverty.