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Interpretation of Incidence Rates Data

Incidence Rate Report for Illinois by County

All Races (includes Hispanic), Female, Melanoma of the Skin, All Ages
Sorted by Rate

Explanation of Column Headers

Incidence Rate (95% Confidence Interval) - The incidence rate is based upon 100,000 people and is an annual rate (or average annual rate) based on the time period indicated. Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population.

Recent Trends - This is an interpretation of the AAPC/APC:

AAPC/APC (95% Confidence Interval) - the change in rate over time


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


    Illinois6,10
    US (SEER+NPCR)1,10
    Cook County6,10
    St. Clair County6,10
    Will County6,10
    Williamson County6,10
    Kane County6,10
    DuPage County6,10
    Coles County6,10
    Kendall County6,10
    Grundy County6,10
    Jackson County6,10
    Kankakee County6,10
    Stephenson County6,10
    Vermilion County6,10
    Marion County6,10
    Madison County6,10
    Adams County6,10
    McHenry County6,10
    Morgan County6,10
    DeKalb County6,10
    Jefferson County6,10
    Winnebago County6,10
    Franklin County6,10
    Livingston County6,10
    Macon County6,10
    Bureau County6,10
    Lake County6,10
    Sangamon County6,10
    Macoupin County6,10
    Lee County6,10
    La Salle County6,10
    Champaign County6,10
    Fulton County6,10
    Henry County6,10
    Christian County6,10
    Whiteside County6,10
    Clinton County6,10
    Logan County6,10
    Woodford County6,10
    Rock Island County6,10
    McLean County6,10
    Boone County6,10
    Peoria County6,10
    Monroe County6,10
    Knox County6,10
    Tazewell County6,10
    Randolph County6,10
    McDonough County6,10
    Ogle County6,10
    Piatt County6,10
    Hancock County6,10
    Alexander County6,10
    Bond County6,10
    Brown County6,10
    Calhoun County6,10
    Carroll County6,10
    Cass County6,10
    Clark County6,10
    Clay County6,10
    Crawford County6,10
    Cumberland County6,10
    De Witt County6,10
    Douglas County6,10
    Edgar County6,10
    Edwards County6,10
    Effingham County6,10
    Fayette County6,10
    Ford County6,10
    Gallatin County6,10
    Greene County6,10
    Hamilton County6,10
    Hardin County6,10
    Henderson County6,10
    Iroquois County6,10
    Jasper County6,10
    Jersey County6,10
    Jo Daviess County6,10
    Johnson County6,10
    Lawrence County6,10
    Marshall County6,10
    Mason County6,10
    Massac County6,10
    Menard County6,10
    Mercer County6,10
    Montgomery County6,10
    Moultrie County6,10
    Perry County6,10
    Pike County6,10
    Pope County6,10
    Pulaski County6,10
    Putnam County6,10
    Richland County6,10
    Saline County6,10
    Schuyler County6,10
    Scott County6,10
    Shelby County6,10
    Stark County6,10
    Union County6,10
    Wabash County6,10
    Warren County6,10
    Washington County6,10
    Wayne County6,10
    White County6,10


    Notes:
    Created by statecancerprofiles.cancer.gov on 12/21/2014 4:32 pm.
    Data for the United States does not include data from Nevada.
    State Cancer Registries may provide more current or more local data.
    † Incidence 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 are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2012 US Population Data File is used for SEER and NPCR incidence rates.
    ‡ Incidence data come 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 area for additional information.
    § The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2013 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2013 submission.
    * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases were reported in a specific area-sex-race category.

    1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission and SEER November 2013 submission.
    6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
    10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2012 US Population Data File is used with NPCR January 2014 data.

    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.

    Suppression is used to avoid misinterpretation when rates are unstable.