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Geographic Areas:

Asthma (rate per 1,000) (Rate) – 2006

Data Provided by: Kansas Action for Children
TOOLBOX:

0.0 - 0.8
Greeley 0.0
Sheridan 0.0
Gray 0.0
Sherman 0.0
Graham 0.0
Rush 0.0
Norton 0.0
Morris 0.0
Kiowa 0.0
Osborne 0.0
Kingman 0.0
Ellsworth 0.0
Cheyenne 0.0
Clark 0.0
Wallace 0.0
Hamilton 0.0
Chautauqua 0.0
Clay 0.0
Decatur 0.0
Edwards 0.0
Elk 0.0
Wabaunsee 0.0
Comanche 0.0
Jefferson 0.2
Allen 0.3
Nemaha 0.4
Wilson 0.4
Cloud 0.5
Pottawatomie 0.6
Lyon 0.6
Haskell 0.8
Cherokee 0.8
Harper 0.8
Finney 0.8
0.9 - 2.3
Marshall 0.9
Dickinson 0.9
Butler 1.0
Atchison 1.0
Stafford 1.0
Osage 1.0
Riley 1.1
Bourbon 1.1
Republic 1.1
Cowley 1.2
Crawford 1.2
Leavenworth 1.2
Brown 1.2
Seward 1.3
Chase 1.3
Miami 1.3
Stevens 1.3
Ford 1.3
Douglas 1.3
0.9 - 2.3
Greenwood 1.3
Linn 1.3
Montgomery 1.3
Pawnee 1.4
Lincoln 1.4
Marion 1.4
Kearny 1.4
Johnson 1.5
Sumner 1.5
Jackson 1.5
Pratt 1.5
Stanton 1.5
Shawnee 1.5
Wichita 1.5
Anderson 1.6
Meade 1.6
Geary 1.6
Woodson 1.6
Harvey 1.6
Jewell 1.7
Rooks 1.7
Phillips 1.7
Barton 1.7
Rice 1.7
Labette 1.7
Ness 1.7
Scott 1.8
Barber 1.9
Saline 1.9
Reno 2.1
Franklin 2.1
Hodgeman 2.1
Neosho 2.1
Sedgwick 2.2
Thomas 2.2
Doniphan 2.3
2.4 - 5.3
Ellis 2.7
Wyandotte 2.8
Ottawa 2.9
Grant 3.0
McPherson 3.0
Washington 3.1
Trego 3.2
Coffey 3.5
Mitchell 3.7
Gove 4.9
Smith 5.3
5.4 - 10.2
Russell 6.6
Lane 7.7
Rawlins 7.9
Morton 10.0
Logan 10.2

Definitions: The number of children hospital discharges of asthma diagnoses per 1,000 children under age 18. Asthma diagnoses are the ICD9-CM diagnoses codes 493.XX. Data is provided by the Kansas Hospital Association and Kansas Department of Health and Environment. Population estimates data are from the U.S. Census Bureau. The current rate represents the number of discharges per 1,000 children for federal fiscal year 2007. The trend represents the average annual change in discharges per 1,000 children for federal fiscal years 2003-2007.

Data Source: Kansas Hospital Association and Kansas Department of Health and Environment

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.

Kansas Grantee

Kansas Action for Children 720 SW Jackson, Suite 201
Topeka, KS 66603

785.232.0550
kac@kac.org
http://www.kac.org