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Child Population Under 18 by Age Group: Ages 0-4 (Percent) – 2009

Data Provided by: Indiana Youth Institute
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21.8% - 24.8%
Tipton 21.8%
Posey 22.6%
Ohio 22.6%
Carroll 23.7%
Washington 23.8%
Rush 23.9%
Spencer 23.9%
Hancock 23.9%
Brown 24.0%
Union 24.0%
Putnam 24.0%
Newton 24.0%
Vermillion 24.2%
Clay 24.3%
Fountain 24.3%
Franklin 24.4%
Steuben 24.4%
Owen 24.4%
Henry 24.4%
Porter 24.5%
Morgan 24.6%
Ripley 24.7%
Decatur 24.7%
Randolph 24.8%
24.9% - 26.4%
Warrick 24.9%
Warren 25.0%
Blackford 25.0%
Boone 25.0%
Orange 25.1%
Pulaski 25.1%
Shelby 25.2%
Greene 25.2%
Jennings 25.2%
Floyd 25.2%
Sullivan 25.2%
White 25.3%
Lawrence 25.3%
Marshall 25.4%
Dearborn 25.5%
Crawford 25.5%
Jefferson 25.6%
Wabash 25.6%
DeKalb 25.6%
Miami 25.7%
Scott 25.7%
Whitley 25.7%
24.9% - 26.4%
Starke 25.8%
Fayette 25.8%
Harrison 25.8%
Hendricks 25.9%
Jasper 25.9%
Dubois 25.9%
Benton 25.9%
Huntington 26.0%
LaPorte 26.1%
Hamilton 26.1%
Howard 26.1%
Johnson 26.2%
Wells 26.2%
LaGrange 26.3%
Jay 26.3%
Parke 26.4%
Grant 26.4%
Jackson 26.4%
26.5% - 28.1%
Fulton 26.6%
Cass 26.7%
Pike 26.7%
Madison 26.8%
Noble 26.8%
Delaware 26.9%
Vigo 26.9%
Bartholomew 26.9%
Montgomery 26.9%
Kosciusko 27.1%
St. Joseph 27.1%
Gibson 27.4%
Martin 27.4%
Allen 27.6%
Wayne 27.7%
Clark 27.9%
Knox 28.0%
Perry 28.1%
28.2% - 31.0%
Clinton 28.5%
Monroe 28.7%
Elkhart 28.7%
Vanderburgh 29.3%
Lake 29.6%
Daviess 29.8%
Switzerland 29.8%
Adams 29.9%
Marion 30.0%
Tippecanoe 31.0%

Definitions: Total estimated number and percentage of children ages 0 through 17 by age group.  Percentages equal that age group's representation among children under 18, not the total population of the state.

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: Please see original source for the population breakdowns for single age group, or submit a data request to data@iyi.org.

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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