Children in Poverty - Ohio - KIDS COUNT Data Center

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Children in Poverty (Percent) – 2010

Data Provided by: Children's Defense Fund-Ohio

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6.6% - 14.4%
Delaware	6.6%
Warren	7.7%
Union	10.1%
Medina	10.3%
Putnam	12.0%
Geauga	12.1%
Mercer	13.2%
Auglaize	13.2%
Wood	13.9%
Clermont	14.1%
Wyandot	14.3%
Lake	14.4%
14.5% - 21.1%
Fairfield	15.7%
Fulton	15.8%
Ottawa	16.3%
Hancock	16.5%
Greene	16.7%
Licking	16.7%
Shelby	17.2%
Darke	17.4%
Butler	17.7%
Henry	17.8%
Miami	18.0%
Portage	18.1%
Sandusky	18.2%
Defiance	18.3%
Pickaway	19.0%
Van Wert	19.1%
Champaign	19.2%
Williams	19.2%
Madison	19.5%
Preble	19.6%
Wayne	20.4%
Paulding	20.5%
Brown	20.8%
Hardin	20.9%
Clinton	21.1%
21.2% - 27.7%
Huron	21.8%
Morrow	21.9%
Seneca	22.2%
Lorain	22.3%
Summit	22.4%
Tuscarawas	22.6%
Washington	22.7%

21.2% - 27.7%
Ashland	22.9%
Stark	23.1%
Noble	23.2%
Richland	23.6%
Fayette	23.6%
Erie	24.4%
Knox	24.6%
Hocking	24.8%
Ashtabula	24.8%
Marion	24.8%
Belmont	25.4%
Athens	25.5%
Franklin	25.5%
Mahoning	26.0%
Carroll	26.1%
Crawford	26.1%
Columbiana	27.1%
Montgomery	27.2%
Harrison	27.3%
Logan	27.4%
Monroe	27.4%
Highland	27.5%
Holmes	27.6%
Ross	27.7%
27.8% - 36.9%
Jefferson	28.3%
Hamilton	28.5%
Perry	28.6%
Muskingum	28.6%
Cuyahoga	28.6%
Lucas	29.0%
Gallia	29.4%
Morgan	29.6%
Clark	29.9%
Allen	30.0%
Coshocton	30.0%
Trumbull	31.4%
Lawrence	31.9%
Scioto	31.9%
Adams	32.2%
Guernsey	32.6%
Jackson	35.4%
Vinton	35.8%
Meigs	35.9%
Pike	36.9%

Definitions:

Definition: An estimate of the percentage of children living below the poverty guideline each year. This official measure was established by the Office of Management and Budget Statistical Policy Directive 14.

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Data Source:

Source: U.S. Census, Small Area Income and Poverty Estimates (SAIPE) 2011. Extracted from http://www.census.gov/did/www/saipe/data/statecounty/data/index.html.

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Footnotes: Please note that each estimate has a margin of error above or below, which can be quite large for smaller Ohio counties.

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.

Ohio Grantee

Children's Defense Fund-Ohio 395 E. Broad Street
Suite 330
Columbus, OH 43215

(614) 221-2244
dwallace-pascoe@cdfohio.org
www.cdfohio.org

Dawn Wallace-Pascoe, KIDS COUNT Project Manager

The Children's Defense Fund Leave No Child Behind® mission is to ensure every child a Healthy Start, a Head Start, a Fair Start, a Safe Start and a Moral Start in life and successful passage to adulthood with the help of caring families and communities.

Release: Ohio’s Kids Count 2011 Data Book

http://www.cdfohio.org/programs-campaigns/kids-count/

Kids Count Data Center