Children Living in Single-parent Families - Mississippi

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Children Living in Single-parent Families (Percent) – 2005-2009

Data Provided by: MS KIDS COUNT

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19.0% - 35.3%
George	19.0%
Lamar	23.9%
Hancock	26.5%
Pearl River	28.0%
Greene	28.0%
Tishomingo	28.2%
Union	29.4%
Rankin	30.5%
Alcorn	30.7%
Madison	31.4%
DeSoto	31.6%
Smith	32.4%
Franklin	32.4%
Itawamba	32.5%
Choctaw	33.3%
Benton	34.2%
Webster	34.5%
Prentiss	34.5%
Walthall	34.6%
Jackson	35.1%
Pontotoc	35.3%
35.4% - 44.7%
Lafayette	36.0%
Covington	36.0%
Perry	36.5%
Stone	37.4%
Tippah	37.4%
Leake	38.4%
Harrison	38.7%
Wayne	39.2%
Newton	40.6%
Lincoln	40.7%
Attala	40.9%
Lawrence	41.0%
Marion	41.2%
Simpson	41.4%
Lee	42.3%
Tate	42.3%
Lowndes	42.4%
Monroe	42.5%
Winston	42.6%
Jones	42.8%

35.4% - 44.7%
Jasper	42.9%
Yalobusha	44.7%
44.8% - 57.4%
Forrest	45.4%
Calhoun	45.5%
Jefferson Davis	45.7%
Oktibbeha	46.1%
Marshall	46.5%
Clarke	47.1%
Montgomery	47.5%
Carroll	47.6%
Kemper	47.7%
Scott	48.2%
Pike	49.1%
Issaquena	49.9%
Noxubee	50.1%
Neshoba	50.2%
Clay	50.4%
Warren	51.4%
Lauderdale	51.4%
Copiah	51.8%
Chickasaw	52.8%
Amite	54.1%
Panola	54.4%
Grenada	55.6%
Hinds	56.2%
Yazoo	57.4%
57.5% - 76.3%
Quitman	58.4%
Sharkey	59.2%
Adams	59.7%
Humphreys	60.1%
Bolivar	60.1%
Tallahatchie	63.3%
Wilkinson	65.1%
Sunflower	65.2%
Washington	65.4%
Holmes	68.6%
Leflore	69.1%
Coahoma	69.5%
Claiborne	71.2%
Jefferson	74.6%
Tunica	76.3%

Definitions: The percent of children living in single-parent households. These figures are based on five-year estimates from the American Community Survey. Calculations take the estimated population under 18 years in households with unmarried householders divided by the total estimated population in family households under 18. Children living in nonfamily households are not included. Value = (("In male householder, no wife present, family" + "In female householder, no husband present, family") / "In family households") More...

Data Source: U.S. Census Bureau, [Year] American Community Survey

Available at: http://factfinder2.census.gov [B09005]

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.

Mississippi Grantee

MS KIDS COUNT Family and Children Research Unit, Social Science Research Center
P.O. Box 5287
Mississippi State, MS 39762

662-325-0470
mskidscount@ssrc.msstate.edu
http://www.ssrc.msstate.edu/mskidscount

Linda H. Southward, Ph.D., Program Director

A division of the SSRC at Mississippi State University, the Family and Children Research Unit (FCRU) conducts research on issues affecting the health, safety, and well-being of children and families.

Kids Count Data Center