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Geographic Areas:

Births With Less than Adequate Prenatal Care (Percent) – 2007

Data Provided by: Michigan League for Public Policy
TOOLBOX:

10.5% - 17.1%
Montmorency 10.5%
Huron 12.3%
Midland 12.6%
Otsego 12.9%
Cheboygan 12.9%
Saint Clair 13.3%
Oakland 14.0%
Presque Isle 14.6%
Saginaw 14.7%
Shiawassee 14.7%
Alpena 15.0%
Grand Traverse 15.3%
Chippewa 16.4%
Emmet 16.4%
Crawford 16.4%
Clinton 16.5%
Bay 16.6%
Macomb 16.7%
Eaton 16.9%
Tuscola 17.0%
Benzie 17.1%
17.2% - 22.0%
Alcona 17.5%
Livingston 17.9%
Genesee 18.1%
Ottawa 18.2%
Kalkaska 18.4%
Dickinson 18.6%
Ogemaw 18.8%
Lapeer 18.9%
Calhoun 19.2%
Leelanau 19.2%
Roscommon 19.5%
Ontonagon 19.9%
Ingham 20.3%
Charlevoix 20.7%
Gogebic 20.8%
Iron 21.2%
Lenawee 21.3%
Arenac 21.4%
Marquette 21.9%
Allegan 22.0%
22.1% - 28.1%
Barry 22.2%
22.1% - 28.1%
Alger 22.2%
Wexford 22.3%
Ionia 22.3%
Sanilac 22.4%
Antrim 22.4%
Newaygo 22.8%
Montcalm 22.9%
Houghton 22.9%
Menominee 23.5%
Baraga 23.7%
Missaukee 23.9%
Kent 24.1%
Mecosta 24.3%
Gladwin 24.9%
Osceola 25.1%
Washtenaw 25.7%
Mackinac 25.7%
Kalamazoo 26.0%
Manistee 26.1%
Clare 26.8%
Iosco 27.4%
Lake 27.4%
Isabella 27.5%
Jackson 28.1%
28.2% - 37.3%
Saint Joseph 28.5%
Gratiot 28.7%
Mason 28.7%
Monroe 28.8%
Wayne 29.3%
Cass 30.3%
Van Buren 30.8%
Muskegon 31.4%
Delta 31.6%
Branch 32.5%
Oscoda 33.1%
Hillsdale 33.1%
Keweenaw 33.3%
Luce 34.9%
Oceana 36.2%
Berrien 37.1%
Schoolcraft 37.3%

Definitions: The data are based on the morher's county of resident. The number reflects live births in which the mother received lless than adequate prenatal care; the percent is the number divided by the total live births. An * indicates the count is less than 6, so no percent is listed.

Data Source: Source: Michigan Department of Community Health, Vital Records and Health Data Development Section.

Footnotes: These data are based on three-year averages, with the latest year listed. Rates are not calculated for counties with occurrences that total less than six over the three-year period. NA represents the uncalculated rates.

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.

Michigan Grantee

Michigan League for Public Policy 1223 Turner Street., Suite G-1
Lansing, MI 48906-4369

517-487-5436
janezm@mlpp.org
http://www.mlpp.org/

Jane Zehnder-Merrell, Kids Count in Michigan Project Director