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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

All Cancer Sites, 2011-2015

Asian or Pacific Islander (includes Hispanic), Both Sexes, All Ages

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 161.4 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


    Minnesota


    United States


    Ramsey County


    Anoka County


    Hennepin County


    Dakota County


    Olmsted County


    Washington County


    Aitkin County Becker County Beltrami County Benton County Big Stone County Blue Earth County Brown County Carlton County Carver County Cass County Chippewa County Chisago County Clay County Clearwater County Cook County Cottonwood County Crow Wing County Dodge County Douglas County Faribault County Fillmore County Freeborn County Goodhue County Grant County Houston County Hubbard County Isanti County Itasca County Jackson County Kanabec County Kandiyohi County Kittson County Koochiching County Lac qui Parle County Lake County Lake of the Woods County Le Sueur County Lincoln County Lyon County Mahnomen County Marshall County Martin County McLeod County Meeker County Mille Lacs County Morrison County Mower County Murray County Nicollet County Nobles County Norman County Otter Tail County Pennington County Pine County Pipestone County Polk County Pope County Red Lake County Redwood County Renville County Rice County Rock County Roseau County Scott County Sherburne County Sibley County St. Louis County Stearns County Steele County Stevens County Swift County Todd County Traverse County Wabasha County Wadena County Waseca County Watonwan County Wilkin County Winona County Wright County Yellow Medicine County

    Notes:
    Created by statecancerprofiles.cancer.gov on 07/20/2019 10:15 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 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.

    Statistics for minorities may be affected by inconsistent race identification between the cancer case reports (sources for numerator of rate) and data from the Census Bureau (source for denominator of rate); and from undercounts of some population groups in the census.
    Data for United States does not include Puerto Rico.