Percent of Children Enrolled in Medicaid Receiving Preventive Care - North Carolina

North Carolina

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Percent of Children Enrolled in Medicaid Receiving Preventive Care (Percent) – 2011

Data Provided by: Action for Children North Carolina

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33.8% - 51.0%
Chowan	33.8%
Rutherford	42.6%
Washington	46.0%
Perquimans	46.2%
Bladen	46.8%
McDowell	47.1%
Currituck	48.2%
Caswell	48.6%
Robeson	48.8%
Caldwell	49.1%
Gates	49.1%
Clay	49.9%
Bertie	50.1%
Cherokee	50.6%
Edgecombe	50.6%
Swain	50.8%
Columbus	50.8%
Polk	50.9%
Cleveland	50.9%
Hyde	51.0%
Anson	51.0%
51.1% - 56.5%
Moore	52.1%
Scotland	52.4%
Mitchell	52.5%
Camden	53.0%
Richmond	53.1%
Rockingham	53.3%
Wilson	53.5%
Harnett	53.5%
Duplin	53.6%
Cumberland	53.6%
Gaston	53.9%
Pender	54.0%
Northampton	54.3%
Hoke	54.4%
Iredell	54.4%
Nash	54.6%
Tyrrell	54.7%
Madison	54.8%
Warren	54.8%
Halifax	54.8%
Person	54.9%
Martin	55.1%
Hertford	55.4%
Union	55.5%
Yadkin	55.5%
Brunswick	55.6%
Randolph	55.6%
Lincoln	55.8%
Sampson	55.8%

51.1% - 56.5%
Pitt	56.0%
Jackson	56.0%
Alexander	56.3%
Beaufort	56.4%
Lee	56.5%
Davie	56.5%
56.6% - 60.8%
Jones	56.7%
Surry	56.7%
Pasquotank	56.8%
Graham	56.9%
Watauga	57.2%
Rowan	57.6%
Buncombe	57.6%
Vance	57.7%
Forsyth	57.8%
Avery	57.9%
Pamlico	57.9%
Lenoir	58.0%
Greene	58.2%
Mecklenburg	58.3%
Davidson	58.5%
Burke	58.6%
Craven	58.8%
Stokes	59.3%
Ashe	59.4%
Haywood	59.4%
Johnston	59.5%
Franklin	59.6%
Catawba	59.8%
Granville	59.9%
Durham	59.9%
Guilford	60.0%
Cabarrus	60.0%
Chatham	60.0%
New Hanover	60.0%
Onslow	60.5%
Wake	60.8%
60.9% - 66.2%
Yancey	61.1%
Dare	61.1%
Stanly	61.2%
Montgomery	62.1%
Wayne	62.2%
Carteret	62.4%
Alleghany	63.2%
Macon	63.2%
Orange	63.7%
Henderson	63.7%
Alamance	63.8%
Transylvania	65.6%
Wilkes	66.2%

Definitions: Percent of Medicaid-enrolled children (0-18) receiving at least one health check screening (preventive care visit).

Data Source: Calculated using data from the Division of Medical Assistance, N.C. DHHS, "Health Check Participation Data." Available online at http://www.dhhs.state.nc.us/dma/healthcheck.htm.

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.

North Carolina Grantee

Action for Children North Carolina 3109 Poplarwood Court, Suite 300
Raleigh, NC 27604

919-834-6623
laila@ncchild.org
http://www.ncchild.org

Laila A. Bell, Director of Research and Data

The mission of Action for Children North Carolina is to advocate for child well-being by educating and engaging all people across the state to ensure that our children are health, safe, well-educated and have every opportunity for success.

Kids Count Data Center