Diversity and disparity: GIS and small-area analysis in six Chicago neighborhoods

Abstract

Small-area analysis in health is essential in uncovering local-level disparities often masked by health estimates for large areas (e.g., cities, counties, states). In this context, 14 health status indicators (HSIs) were examined for six Chicago community areas that reflect the substantial diversity of the city. HSIs were compared over time (from 1989-90 to 1999-2000) and across community areas. Important disparities among these community areas in mortality rates, birth outcomes, and infectious diseases were found. In many cases the disparities were in the expected direction with the richest and predominantly White community area experiencing the lowest rates. However, some surprises did manifest themselves. For example, only the poorest community area experienced a statistically significant decline in the infant mortality rate. Since so much of attention is now being paid to reducing and eliminating these disparities, it is important to examine their existence to better understand how to minimize them.