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Interpretation of Death Rates Data

Death Rate Report for Illinois by County

Melanoma of the Skin, 2011-2015

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

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 2.4 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


    Illinois


    United States


    Tazewell County


    Lake County


    Winnebago County


    Rock Island County


    Madison County


    Will County


    Macon County


    Cook County


    Kane County


    St. Clair County


    DuPage County


    Sangamon County


    Champaign County


    Kendall County


    La Salle County


    McHenry County


    McLean County


    Peoria County


    Vermilion County


    Adams County Alexander County Bond County Boone County Brown County Bureau County Calhoun County Carroll County Cass County Christian County Clark County Clay County Clinton County Coles County Crawford County Cumberland County De Witt County DeKalb County Douglas County Edgar County Edwards County Effingham County Fayette County Ford County Franklin County Fulton County Gallatin County Greene County Grundy County Hamilton County Hancock County Hardin County Henderson County Henry County Iroquois County Jackson County Jasper County Jefferson County Jersey County Jo Daviess County Johnson County Kankakee County Knox County Lawrence County Lee County Livingston County Logan County Macoupin County Marion County Marshall County Mason County Massac County McDonough County Menard County Mercer County Monroe County Montgomery County Morgan County Moultrie County Ogle County Perry County Piatt County Pike County Pope County Pulaski County Putnam County Randolph County Richland County Saline County Schuyler County Scott County Shelby County Stark County Stephenson County Union County Wabash County Warren County Washington County Wayne County White County Whiteside County Williamson County Woodford County

    Notes:
    Created by statecancerprofiles.cancer.gov on 07/22/2019 12:54 pm.

    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.

    Data for United States does not include Puerto Rico.