This publication is the second installment in the Race for Results case study series. It features an inside look at how the W. Haywood Burns Institute and the Kirwan Institute for the Study of Race and Social Policy use disaggregated data on race and ethnicity to improve the lives of children and communities. These examples illustrate why the collection, analysis and use of race and ethnicity data should be an integral part of any strategy, initiative or legislative agenda affecting children, families and communities.
Disaggregating data by race and ethnicity improves outcomes for children and communities of color
Findings & Stats
Even in Minnesota — ranked number one in child well-being in the KIDS COUNT Data Book — disaggregated data by race revealed that while 3% of white kids were living in extreme poverty, up to 21% of American Indian and 18% of African-American kids were living in the same extreme poverty conditions.
A Geographic Perspective
Opportunity Mapping in Columbus, Ohio, revealed that areas with no infant deaths were adjacent to neighborhoods of color with infant death rates as high as those in Central America.
Statements & Quotations
If you never collect data, you’ll never know the specifics of the problem.
– James Bell, W. Haywood Burns Institute
Kirwan’s Opportunity Mapping process gathers and disaggregates data on education, health, housing, jobs, transportation and child care. Kirwan then overlays these indicators of opportunity onto maps.