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Population - Children (Age 0-17) by Race and Ethnicity: All Races (Percent) – 2010

Data Provided by: Pennsylvania Partnerships for Children
TOOLBOX:

100.0%
Monroe (Rural-Mix) 100.0%
Montgomery (Urban) 100.0%
Mercer (Rural-Mix) 100.0%
Mifflin (Rural) 100.0%
Northumberland (Rural-Mix) 100.0%
Perry (Rural-Mix) 100.0%
Montour (Rural-Mix) 100.0%
Northampton (Urban) 100.0%
Lawrence (Rural-Mix) 100.0%
Lebanon (Urban-Mix) 100.0%
Lackawanna (Urban) 100.0%
Lancaster (Urban) 100.0%
Lycoming (Rural-Mix) 100.0%
McKean (Rural) 100.0%
Lehigh (Urban) 100.0%
Luzerne (Urban) 100.0%
Philadelphia (Urban) 100.0%
Warren (Rural) 100.0%
Washington (Urban-Mix) 100.0%
Union (Rural) 100.0%
Venango (Rural) 100.0%
Wyoming (Rural-Mix) 100.0%
York (Urban-Mix) 100.0%
Wayne (Rural-Mix) 100.0%
Westmoreland (Urban-Mix) 100.0%
Schuylkill (Rural-Mix) 100.0%
Snyder (Rural) 100.0%
Pike (Rural) 100.0%
Potter (Rural) 100.0%
Susquehanna (Rural-Mix) 100.0%
Tioga (Rural) 100.0%
Somerset (Rural-Mix) 100.0%
Sullivan (Rural) 100.0%
Juniata (Rural) 100.0%
100.0%
Cambria (Rural-Mix) 100.0%
Cameron (Rural) 100.0%
Bucks (Urban) 100.0%
Butler (Rural-Mix) 100.0%
Chester (Urban) 100.0%
Clarion (Rural) 100.0%
Carbon (Rural-Mix) 100.0%
Centre (Urban-Mix) 100.0%
Armstrong (Rural-Mix) 100.0%
Beaver (Urban-Mix) 100.0%
Adams (Rural-Mix) 100.0%
Allegheny (Urban) 100.0%
Blair (Urban-Mix) 100.0%
Bradford (Rural) 100.0%
Bedford (Rural-Mix) 100.0%
Berks (Urban-Mix) 100.0%
Clearfield (Rural) 100.0%
Franklin (Rural-Mix) 100.0%
Fulton (Rural) 100.0%
Fayette (Rural-Mix) 100.0%
Forest (Rural) 100.0%
Indiana (Rural) 100.0%
Jefferson (Rural) 100.0%
Greene (Rural) 100.0%
Huntingdon (Rural) 100.0%
Crawford (Rural) 100.0%
Cumberland (Urban-Mix) 100.0%
Clinton (Rural) 100.0%
Columbia (Urban-Mix) 100.0%
Elk (Rural) 100.0%
Erie (Urban-Mix) 100.0%
Dauphin (Urban) 100.0%
Delaware (Urban) 100.0%

Definitions: Children ages birth through 17 by race and ethnicity (hispanic/latino)

Data Source: U.S. Bureau of the Census, 2000 and 2010 decennial census

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.

Pennsylvania Grantee

Pennsylvania Partnerships for Children 116 Pine Street
Suite 430
Harrisburg, PA 17101-1244

717-236-5680 x 214
khoffman@papartnerships.org
http://www.papartnerships.org

Kelly Hoffman, KIDS COUNT Director

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KIDS COUNT Census Data Online