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Interpretation of Death Rates Data

Death Rate Report for Wisconsin by County

All Cancer Sites, 2011-2015

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

Sorted by Name

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


    Wisconsin


    United States


    Adams County


    Ashland County


    Barron County


    Bayfield County


    Brown County


    Buffalo County


    Burnett County


    Calumet County


    Chippewa County


    Clark County


    Columbia County


    Crawford County


    Dane County


    Dodge County


    Door County


    Douglas County


    Dunn County


    Eau Claire County


    Florence County


    Fond du Lac County


    Forest County


    Grant County


    Green County


    Green Lake County


    Iowa County


    Iron County


    Jackson County


    Jefferson County


    Juneau County


    Kenosha County


    Kewaunee County


    La Crosse County


    Lafayette County


    Langlade County


    Lincoln County


    Manitowoc County


    Marathon County


    Marinette County


    Marquette County


    Menominee County


    Milwaukee County


    Monroe County


    Oconto County


    Oneida County


    Outagamie County


    Ozaukee County


    Pepin County


    Pierce County


    Polk County


    Portage County


    Price County


    Racine County


    Richland County


    Rock County


    Rusk County


    Sauk County


    Sawyer County


    Shawano County


    Sheboygan County


    St. Croix County


    Taylor County


    Trempealeau County


    Vernon County


    Vilas County


    Walworth County


    Washburn County


    Washington County


    Waukesha County


    Waupaca County


    Waushara County


    Winnebago County


    Wood County




    Notes:
    Created by statecancerprofiles.cancer.gov on 07/18/2019 4:50 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.



    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.