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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), Both Sexes, 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


United States

Murray County

Todd County

Carver County

Olmsted County

Houston County

Pope County

Roseau County

Steele County

Nicollet County

McLeod County

Scott County

Dakota County

Dodge County

Otter Tail County

Lake of the Woods County

Hennepin County

Washington County

Lac qui Parle County

Marshall County

Jackson County

Redwood County

Blue Earth County

Pennington County

Kandiyohi County

Stevens County

Stearns County

Rice County

Wabasha County

Waseca County

Lake County

Ramsey County

Cook County

Beltrami County

Sherburne County

Wright County

Koochiching County

Clay County

Lyon County

Big Stone County

Kittson County

Carlton County

Mower County

Cottonwood County

Freeborn County

Anoka County

Becker County

Grant County

Pipestone County

Hubbard County

Fillmore County

Benton County

Swift County

Winona County

Pine County

Kanabec County

Crow Wing County

Traverse County

Morrison County

Douglas County

Red Lake County

Meeker County

Isanti County

Yellow Medicine County

Goodhue County

Watonwan County

St. Louis County

Rock County

Le Sueur County

Renville County

Aitkin County

Chisago County

Brown County

Clearwater County

Nobles County

Itasca County

Martin County

Cass County

Sibley County

Norman County

Faribault County

Wilkin County

Lincoln County

Polk County

Mille Lacs County

Wadena County

Chippewa County

Mahnomen County

Created by on 11/29/2023 8:43 pm.

State Cancer Registries may provide more current or more local data.
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.