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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Male, All Ages

Sorted by CI*Rank

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


Lac qui Parle County


Murray County


Pennington County


Todd County


Waseca County


Scott County


Carver County


Olmsted County


Kandiyohi County


Redwood County


Pope County


Kittson County


Lake County


Dakota County


Koochiching County


Washington County


McLeod County


Steele County


Houston County


Roseau County


Nicollet County


Hennepin County


Otter Tail County


Rice County


Hubbard County


Ramsey County


Beltrami County


Mower County


Wright County


Douglas County


Watonwan County


Clay County


Cottonwood County


Dodge County


Stearns County


Jackson County


Wabasha County


Meeker County


Anoka County


Marshall County


Chisago County


Lyon County


Blue Earth County


Red Lake County


Lincoln County


Fillmore County


Winona County


Aitkin County


Pine County


Pipestone County


Sherburne County


Freeborn County


Cook County


Sibley County


Morrison County


Kanabec County


Carlton County


Benton County


Big Stone County


Becker County


Stevens County


Martin County


Clearwater County


Swift County


Renville County


Isanti County


St. Louis County


Faribault County


Goodhue County


Crow Wing County


Rock County


Itasca County


Grant County


Cass County


Nobles County


Le Sueur County


Wilkin County


Yellow Medicine County


Chippewa County


Lake of the Woods County


Mahnomen County


Wadena County


Brown County


Traverse County


Polk County


Mille Lacs County


Norman County




Notes:
Created by statecancerprofiles.cancer.gov on 12/03/2022 4:02 am.

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.



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.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.