Consequences

Gender

Rate per 1,000 Pop of Total Deaths from Lung and Bronchus Cancer by Gender -- all causes, 2017: by County

Rate per 1,000 PopCompare to State Average: 0.4
Minnesota0.4Barchart image
Aitkin County1.1Barchart image
Anoka County0.5Barchart image
Becker County0.7Barchart image
Beltrami County0.5Barchart image
Benton County0.4Barchart image
Big Stone County1.0Barchart image
Blue Earth County0.3Barchart image
Brown County0.6Barchart image
Carlton County0.4Barchart image
Carver County0.2Barchart image
Cass County0.7Barchart image
Chippewa County0.4Barchart image
Chisago County0.5Barchart image
Clay County0.4Barchart image
Clearwater County1.5Barchart image
Cook County1.5Barchart image
Cottonwood County0.2Barchart image
Crow Wing County0.6Barchart image
Dakota County0.4Barchart image
Dodge County0.4Barchart image
Douglas County0.4Barchart image
Faribault County0.4Barchart image
Fillmore County0.5Barchart image
Freeborn County0.7Barchart image
Goodhue County0.7Barchart image
Grant County0.5Barchart image
Hennepin County0.3Barchart image
Houston County0.6Barchart image
Hubbard County0.7Barchart image
Isanti County0.6Barchart image
Itasca County0.7Barchart image
Jackson County0.7Barchart image
Kanabec County0.4Barchart image
Kandiyohi County0.4Barchart image
Kittson County0.5Barchart image
Koochiching County0.7Barchart image
Lac Qui Parle County0.3Barchart image
Lake County0.7Barchart image
Lake of the Woods County1.0Barchart image
Le Sueur County0.3Barchart image
Lincoln County0.7Barchart image
Lyon County0.7Barchart image
McLeod County0.5Barchart image
Mahnomen County0.5Barchart image
Marshall County0.6Barchart image
Martin County0.8Barchart image
Meeker County0.7Barchart image
Mille Lacs County0.4Barchart image
Morrison County0.8Barchart image
Mower County0.6Barchart image
Murray County0.2Barchart image
Nicollet County0.5Barchart image
Nobles County0.5Barchart image
Norman County1.2Barchart image
Olmsted County0.4Barchart image
Otter Tail County0.5Barchart image
Pennington County0.4Barchart image
Pine County0.5Barchart image
Pipestone County0.3Barchart image
Polk County0.5Barchart image
Pope County0.1Barchart image
Ramsey County0.4Barchart image
Red Lake County0.7Barchart image
Redwood County0.3Barchart image
Renville County0.5Barchart image
Rice County0.4Barchart image
Rock County0.5Barchart image
Roseau County0.5Barchart image
St. Louis County0.6Barchart image
Scott County0.3Barchart image
Sherburne County0.3Barchart image
Sibley County0.1Barchart image
Stearns County0.4Barchart image
Steele County0.5Barchart image
Stevens County0.1Barchart image
Swift County0.6Barchart image
Todd County0.4Barchart image
Traverse County0.3Barchart image
Wabasha County0.7Barchart image
Wadena County0.5Barchart image
Waseca County0.3Barchart image
Washington County0.3Barchart image
Watonwan County0.8Barchart image
Wilkin County0.8Barchart image
Winona County0.2Barchart image
Wright County0.4Barchart image
Yellow Medicine County0.8Barchart image

About the Indicator: Smoking is a risk factor for many causes of death in Minnesota.  The statistics reported here include lung and bronchus cancer deaths from all causes—not just smoking-related deaths.  Cancer deaths by gender were obtained by request from the Minnesota Cancer Surveillance System (MCSS).  It is estimated that 90% of lung cancer deaths among males and 79% of lung cancer deaths among females in the United States are smoking-related.  Percent of smoking-attributable deaths may vary from one location to another.

Data Source: Natality and Mortality data: Minnesota Center for Health Statistics

Description: Minnesota Health Statistics Annual Summary includes the number of deaths in a county classified by ICD 10 codes.  Natality include the percent of births to women who reported smoking during pregnancy by county.

Sponsored by: Minnesota Department of Health

Geographic Level: State, County

Aggregated data at the state and county level do not reveal disparities that may exist within a given geographic area.

Frequency: Death and Birth data are collected and reported annually

Characteristics: Mortality and Natality data are collected consistently at the county level.