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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

Colon & Rectum, 2016-2020

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

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 8.9 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

Mower County

Sherburne County

Nicollet County

Beltrami County

Steele County

Morrison County

Scott County

Aitkin County

Carver County

Olmsted County

Washington County

Itasca County

Wright County

Mille Lacs County

Ramsey County

Goodhue County

Meeker County

Cass County

Hennepin County

McLeod County

Rice County

Benton County

Crow Wing County

Winona County

Blue Earth County

Dakota County

Brown County

Fillmore County

Freeborn County

St. Louis County

Anoka County

Kandiyohi County

Martin County

Becker County

Otter Tail County

Renville County

Clay County

Douglas County

Koochiching County

Le Sueur County

Stearns County

Carlton County

Hubbard County

Wabasha County

Wadena County

Chippewa County

Nobles County

Faribault County

Polk County

Chisago County

Dodge County

Isanti County

Lyon County

Pine County

Sibley County

Waseca County

Yellow Medicine County

Big Stone County Clearwater County Cook County Cottonwood County Grant County Houston County Jackson County Kanabec County Kittson County Lac qui Parle County Lake County Lake of the Woods County Lincoln County Mahnomen County Marshall County Murray County Norman County Pennington County Pipestone County Pope County Red Lake County Redwood County Rock County Roseau County Stevens County Swift County Todd County Traverse County Watonwan County Wilkin County

Created by on 09/21/2023 6:21 am.

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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

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.