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Geographic Areas:

Births Receiving Early Prenatal Care (Number) – 2009

Data Provided by: Florida KIDS COUNT
TOOLBOX:

57 - 1,616
Lafayette 57
Glades 58
Liberty 65
Franklin 83
Hamilton 92
Gulf 101
Union 105
Calhoun 114
Jefferson 116
Holmes 126
Dixie 133
Gilchrist 143
Washington 148
Madison 179
Taylor 204
Bradford 217
Baker 261
Wakulla 264
Hardee 280
DeSoto 293
Suwannee 297
Jackson 338
Levy 342
Sumter 359
Okeechobee 366
Hendry 408
Walton 499
Gadsden 515
Columbia 544
Putnam 549
Nassau 563
Monroe 576
Flagler 633
Highlands 689
57 - 1,616
Charlotte 716
Citrus 736
Martin 812
Indian River 822
Hernando 1,297
St. Johns 1,345
Bay 1,450
Santa Rosa 1,517
Clay 1,616
1,617 - 6,478
Okaloosa 2,011
Alachua 2,101
Collier 2,147
St. Lucie 2,180
Marion 2,254
Sarasota 2,341
Lake 2,382
Leon 2,396
Manatee 2,398
Osceola 2,914
Escambia 3,201
Seminole 3,403
Pasco 3,532
Volusia 3,736
Brevard 3,953
Lee 4,335
Polk 4,978
Pinellas 6,478
6,479 - 14,203
Duval 8,368
Palm Beach 9,189
Orange 12,019
Hillsborough 12,122
Broward 14,203
14,204 - 22,024
Miami-Dade 22,024

Definitions: Births to mothers who received prenatal care in the first trimester of pregnancy. The percent early prenatal care is the number of live births that received prenatal care within the first trimester of pregnancy divided by the total number of live births. Starting in 2004, "trimester prenatal care began" is calculated as the time from the date of the last menstrual period to the date of the first prenatal care visit. Prior to 2004, these data were obtained by direct question that noted the trimester the mother began prenatal care. Consequently, these data are not comparable to data from prior years.

Data Source: Office of Vital Statistics, Florida Department of Health, Jacksonville, Florida

Footnotes: Low Number Event (LNE) indicates unreliable rates and ratios, those with denominators less than 100.

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.

Florida Grantee

Florida KIDS COUNT Department of Child & Family Studies
Louis de la Parte Florida Mental Health Institute
College of Behavioral and Community Sciences
University of South Florida
Tampa, Florida 33612

813.974.7411
weitzel@usf.edu
http://www.floridakidscount.org

Susan Weitzel, Director