Poverty - Estimated Percent of Population (Age 5-17) Under 100% Poverty using SAIPE - Pennsylvania

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Poverty - Estimated Percent of Population (Age 5-17) Under 100% Poverty using SAIPE (Percent) – 2008

Data Provided by: Pennsylvania Partnerships for Children

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5.5% - 11.9%
Bucks (Urban)	5.5%
Chester (Urban)	5.9%
Montgomery (Urban)	6.6%
Cumberland (Urban-Mix)	7.7%
York (Urban-Mix)	8.4%
Butler (Rural-Mix)	8.9%
Adams (Rural-Mix)	9.1%
Northampton (Urban)	10.0%
Pike (Rural)	10.7%
Franklin (Rural-Mix)	10.9%
Elk (Rural)	11.0%
Centre (Urban-Mix)	11.2%
Lebanon (Urban-Mix)	11.4%
Monroe (Rural-Mix)	11.5%
Westmoreland (Urban-Mix)	11.8%
Washington (Urban-Mix)	11.9%
12.0% - 16.4%
Delaware (Urban)	12.2%
Perry (Rural-Mix)	12.3%
Lancaster (Urban)	12.4%
Montour (Rural-Mix)	12.8%
Union (Rural)	13.1%
Lehigh (Urban)	13.7%
Juniata (Rural)	14.2%
Snyder (Rural)	14.6%
Allegheny (Urban)	14.9%
Beaver (Urban-Mix)	14.9%
Schuylkill (Rural-Mix)	14.9%
Berks (Urban-Mix)	14.9%
Carbon (Rural-Mix)	14.9%
Huntingdon (Rural)	15.0%
Armstrong (Rural-Mix)	15.1%
Columbia (Urban-Mix)	15.2%
Wayne (Rural-Mix)	15.7%
Wyoming (Rural-Mix)	15.8%

12.0% - 16.4%
Bedford (Rural-Mix)	16.1%
Cameron (Rural)	16.1%
Dauphin (Urban)	16.2%
Fulton (Rural)	16.4%
16.5% - 22.1%
Indiana (Rural)	16.9%
Luzerne (Urban)	16.9%
Lackawanna (Urban)	17.0%
Lycoming (Rural-Mix)	17.0%
Susquehanna (Rural-Mix)	17.1%
Northumberland (Rural-Mix)	17.1%
Warren (Rural)	17.4%
Clarion (Rural)	17.5%
Mifflin (Rural)	17.6%
Potter (Rural)	18.1%
Jefferson (Rural)	18.4%
Sullivan (Rural)	18.7%
Lawrence (Rural-Mix)	18.7%
Somerset (Rural-Mix)	18.8%
Blair (Urban-Mix)	18.8%
Tioga (Rural)	18.8%
Erie (Urban-Mix)	19.1%
Cambria (Rural-Mix)	19.4%
Clinton (Rural)	19.5%
Mercer (Rural-Mix)	20.0%
Greene (Rural)	20.5%
Clearfield (Rural)	20.7%
Bradford (Rural)	21.1%
McKean (Rural)	22.1%
Venango (Rural)	22.1%
22.2% - 31.7%
Crawford (Rural)	24.0%
Forest (Rural)	26.3%
Philadelphia (Urban)	30.8%
Fayette (Rural-Mix)	31.7%

Definitions: The estimated number of children ages 5-17 who are under 100% of poverty using SAIPE (small area income and poverty estimates).

Data Source: U.S. Bureau of the Census, Small Area Income and Poverty Estimates Program (SAIPE)

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

Pennsylvania Partnerships for Children is a strong, effective, and trusted voice for improving the health, education, and well-being of the Commonwealth's children.

Kids Count Data Center