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Child Population Under 18 by Race and Ethnicity: Total (Percent) – 2009

Data Provided by: Indiana Youth Institute
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100.0%
Perry 100.0%
Pike 100.0%
Parke 100.0%
Orange 100.0%
Owen 100.0%
Porter 100.0%
Randolph 100.0%
Ripley 100.0%
Putnam 100.0%
Posey 100.0%
Pulaski 100.0%
Ohio 100.0%
Marshall 100.0%
Martin 100.0%
Marion 100.0%
Lawrence 100.0%
Madison 100.0%
Miami 100.0%
Newton 100.0%
Noble 100.0%
Morgan 100.0%
Monroe 100.0%
Montgomery 100.0%
Wabash 100.0%
Warren 100.0%
Vigo 100.0%
Vanderburgh 100.0%
Vermillion 100.0%
Warrick 100.0%
White 100.0%
Whitley 100.0%
Wells 100.0%
Washington 100.0%
Wayne 100.0%
Union 100.0%
Shelby 100.0%
Spencer 100.0%
Scott 100.0%
Rush 100.0%
St. Joseph 100.0%
Starke 100.0%
Tippecanoe 100.0%
Tipton 100.0%
Switzerland 100.0%
Steuben 100.0%
Sullivan 100.0%
100.0%
Decatur 100.0%
DeKalb 100.0%
Dearborn 100.0%
Crawford 100.0%
Daviess 100.0%
Delaware 100.0%
Floyd 100.0%
Fountain 100.0%
Fayette 100.0%
Dubois 100.0%
Elkhart 100.0%
Clinton 100.0%
Benton 100.0%
Blackford 100.0%
Bartholomew 100.0%
Adams 100.0%
Allen 100.0%
Boone 100.0%
Clark 100.0%
Clay 100.0%
Cass 100.0%
Brown 100.0%
Carroll 100.0%
Jefferson 100.0%
Jennings 100.0%
Jay 100.0%
Jackson 100.0%
Jasper 100.0%
Johnson 100.0%
Lake 100.0%
LaPorte 100.0%
LaGrange 100.0%
Knox 100.0%
Kosciusko 100.0%
Huntington 100.0%
Grant 100.0%
Greene 100.0%
Gibson 100.0%
Franklin 100.0%
Fulton 100.0%
Hamilton 100.0%
Henry 100.0%
Howard 100.0%
Hendricks 100.0%
Hancock 100.0%
Harrison 100.0%

Definitions: Total estimated number of children by race and ethnicity, ages 0-17. 

Children in the White, Black, American Indian, and Asian categories are Non-Hispanic.

Children in the Hispanic category are of any race.

Data Source: Puzzanchera, C., Sladky, A. and Kang, W. (2012). "Easy Access to Juvenile Populations: 1990-2011." Online. Available: http://www.ojjdp.gov/ojstatbb/ezapop/

Footnotes: For a racial breakdown of the Hispanic population, please see source website. 

Data is for Calendar Year.

Note: Maps use the natural break classification method, which reflects patterns in the data by dividing the map into naturally occurring groups. Using statistical tools, this method determines cut-off points for each group by identifying large gaps in data values.

Indiana Grantee

Indiana Youth Institute 603 E. Washington St.
Suite 800
Indianapolis, IN 46204

800-343-7060
data@iyi.org
http://www.iyi.org

Sarah Patterson, Project Manager

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