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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

Breast, 2011-2015

All Races (includes Hispanic), Female, All Ages

Sorted by Count

Explanation of Column Headers

Objective - The objective of 20.7 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

  • Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
  • Data is currently being suppressed if there are fewer than 16 counts for the time period.

  • Line by Line Interpretation of the Report


    United States

    Hennepin County

    Ramsey County

    Dakota County

    Anoka County

    St. Louis County

    Washington County

    Stearns County

    Olmsted County

    Scott County

    Wright County

    Otter Tail County

    Carver County

    Winona County

    Rice County

    Sherburne County

    Goodhue County

    Itasca County

    Douglas County

    Kandiyohi County

    Blue Earth County

    Isanti County

    McLeod County

    Clay County

    Crow Wing County

    Mower County

    Chisago County

    Pine County

    Beltrami County

    Steele County

    Benton County

    Cass County

    Brown County

    Polk County

    Carlton County

    Morrison County

    Waseca County

    Le Sueur County

    Martin County

    Mille Lacs County

    Freeborn County

    Nobles County

    Aitkin County Becker County Big Stone County Chippewa County Clearwater County Cook County Cottonwood County Dodge County Faribault County Fillmore County Grant County Houston County Hubbard County Jackson County Kanabec County Kittson County Koochiching County Lac qui Parle County Lake County Lake of the Woods County Lincoln County Lyon County Mahnomen County Marshall County Meeker County Murray County Nicollet County Norman County Pennington County Pipestone County Pope County Red Lake County Redwood County Renville County Rock County Roseau County Sibley County Stevens County Swift County Todd County Traverse County Wabasha County Wadena County Watonwan County Wilkin County Yellow Medicine County

    Created by on 07/22/2019 11:52 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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

    Healthy People 2020 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 availablility, 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.