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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Ruralurban

Explanation of Column Headers

Objective - The objective of 122.7 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


Minnesota


United States


Anoka County


Benton County


Blue Earth County


Carlton County


Carver County


Chisago County


Clay County


Dakota County


Dodge County


Fillmore County


Hennepin County


Houston County


Isanti County


Le Sueur County


Mille Lacs County


Nicollet County


Olmsted County


Polk County


Ramsey County


Rock County


Scott County


Sherburne County


St. Louis County


Stearns County


Wabasha County


Washington County


Wright County


Aitkin County


Becker County


Beltrami County


Big Stone County


Brown County


Cass County


Chippewa County


Clearwater County


Cook County


Cottonwood County


Crow Wing County


Douglas County


Faribault County


Freeborn County


Goodhue County


Grant County


Hubbard County


Itasca County


Jackson County


Kanabec County


Kandiyohi County


Kittson County


Koochiching County


Lac qui Parle County


Lake County


Lake of the Woods County


Lincoln County


Lyon County


Mahnomen County


Marshall County


Martin County


McLeod County


Meeker County


Morrison County


Mower County


Murray County


Nobles County


Norman County


Otter Tail County


Pennington County


Pine County


Pipestone County


Pope County


Red Lake County


Redwood County


Renville County


Rice County


Roseau County


Sibley County


Steele County


Stevens County


Swift County


Todd County


Traverse County


Wadena County


Waseca County


Watonwan County


Wilkin County


Winona County


Yellow Medicine County




Notes:
Created by statecancerprofiles.cancer.gov on 12/12/2024 6:48 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Data for United States does not include Puerto Rico.