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Geographic Areas:

Children Receiving Supplemental Nutrition Assistance Program (SNAP) (Percent) – 2010

Data Provided by: Minnesota KIDS COUNT
TOOLBOX:

5.1% - 12.8%
Carver 5.1%
Washington 6.5%
Scott 6.9%
Wright 7.5%
Lincoln 8.0%
Chisago 8.3%
Sherburne 8.9%
Kittson 9.0%
Roseau 9.2%
Dakota 9.3%
Wabasha 9.7%
Le Sueur 10.4%
Goodhue 10.7%
Marshall 10.9%
Houston 11.3%
Sibley 11.4%
Brown 11.5%
Dodge 11.5%
McLeod 11.6%
Stevens 11.7%
Big Stone 11.8%
Rock 11.8%
Murray 12.0%
Cook 12.0%
Yellow Medicine 12.2%
Anoka 12.4%
Meeker 12.4%
Fillmore 12.7%
Lac qui Parle 12.7%
Morrison 12.8%
12.9% - 18.9%
Benton 13.2%
Redwood 13.5%
Pope 13.5%
Jackson 13.6%
Cottonwood 14.0%
Isanti 14.1%
Douglas 14.1%
Todd 14.2%
Swift 14.3%
Winona 14.4%
Watonwan 14.4%
Carlton 14.5%
Olmsted 14.7%
Rice 14.7%
12.9% - 18.9%
Chippewa 14.7%
Lyon 14.7%
Otter Tail 15.0%
Pipestone 15.2%
Stearns 15.4%
Nicollet 15.6%
Lake 15.6%
Waseca 15.8%
Blue Earth 15.9%
Steele 16.1%
Mille Lacs 16.2%
Grant 16.3%
Pennington 16.4%
Wilkin 16.5%
Crow Wing 16.8%
Lake of the Woods 17.1%
Martin 17.2%
Nobles 17.4%
Renville 17.9%
Freeborn 18.2%
Faribault 18.7%
Traverse 18.7%
Hennepin 18.9%
19.0% - 30.7%
Koochiching 19.4%
Clay 19.5%
Mower 19.9%
Polk 20.2%
Norman 20.4%
St. Louis 20.9%
Red Lake 21.1%
Kanabec 21.6%
Itasca 21.8%
Kandiyohi 22.1%
Becker 22.8%
Wadena 22.8%
Pine 23.8%
Hubbard 24.5%
Aitkin 25.9%
Clearwater 25.9%
Ramsey 28.0%
Cass 30.7%
30.8% - 50.2%
Beltrami 39.6%
Mahnomen 50.2%

Definitions: Data through 2004 is an average monthly estimate of children in SNAP caseloads, whereas data from 2005 and thereafter is the average monthly enrollment of actual children receiving SNAP. The percentage is this figure divided by the estimated total number of children in the state or county. Numbers for Mille Lacs County do not include the Mille Lacs County Band of Ojibwe. Not all income-eligible children participate in the program.

Data Source: Minnesota Department of Human Services, Reports and Forecasts Division and MAXIS Data Warehouse.

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.

Minnesota Grantee

Minnesota KIDS COUNT Children's Defense Fund Minnesota
555 Park Street, Suite 410
St. Paul, MN 55103

651-855-1184
arzamendia@cdf-mn.org
http://www.cdf-mn.org

Kara Arzamendia, Research Director