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Interpretation of Incidence Rates Data

Incidence Rate Report for Missouri by County

All Races (includes Hispanic), Both Sexes, Colon & Rectum, 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


    Missouri6,10
    US (SEER+NPCR)1,10
    Marion County6,10
    Daviess County6,10
    Schuyler County6,10
    Knox County6,10
    Pulaski County6,10
    Shelby County6,10
    New Madrid County6,10
    Carter County6,10
    Stoddard County6,10
    Wayne County6,10
    Gentry County6,10
    Adair County6,10
    Grundy County6,10
    Crawford County6,10
    Carroll County6,10
    Harrison County6,10
    Chariton County6,10
    Montgomery County6,10
    Macon County6,10
    Scotland County6,10
    Linn County6,10
    Monroe County6,10
    Dent County6,10
    Wright County6,10
    Sullivan County6,10
    Ray County6,10
    Bates County6,10
    Howell County6,10
    Pemiscot County6,10
    St. Clair County6,10
    Pike County6,10
    Iron County6,10
    Buchanan County6,10
    St. Louis City6,10
    Dallas County6,10
    Mississippi County6,10
    Vernon County6,10
    Clark County6,10
    Saline County6,10
    Henry County6,10
    Lawrence County6,10
    Oregon County6,10
    Miller County6,10
    St. Francois County6,10
    Washington County6,10
    Phelps County6,10
    Bollinger County6,10
    Moniteau County6,10
    Ste. Genevieve County6,10
    Butler County6,10
    Dunklin County6,10
    Hickory County6,10
    Clinton County6,10
    Jasper County6,10
    Scott County6,10
    Cass County6,10
    Putnam County6,10
    Lafayette County6,10
    Clay County6,10
    Jefferson County6,10
    Pettis County6,10
    Barry County6,10
    Randolph County6,10
    Holt County6,10
    Lewis County6,10
    Callaway County6,10
    Benton County6,10
    St. Louis County6,10
    Caldwell County6,10
    Ralls County6,10
    Howard County6,10
    Cole County6,10
    Gasconade County6,10
    Lincoln County6,10
    Ripley County6,10
    Audrain County6,10
    Cooper County6,10
    Shannon County6,10
    Atchison County6,10
    Jackson County6,10
    Osage County6,10
    Perry County6,10
    Webster County6,10
    Nodaway County6,10
    DeKalb County6,10
    Livingston County6,10
    Franklin County6,10
    Christian County6,10
    Laclede County6,10
    Warren County6,10
    Morgan County6,10
    Ozark County6,10
    Texas County6,10
    Cape Girardeau County6,10
    Dade County6,10
    Platte County6,10
    Greene County6,10
    Polk County6,10
    St. Charles County6,10
    Cedar County6,10
    Boone County6,10
    Barton County6,10
    Andrew County6,10
    Johnson County6,10
    Madison County6,10
    Douglas County6,10
    Newton County6,10
    Reynolds County6,10
    Camden County6,10
    McDonald County6,10
    Taney County6,10
    Maries County6,10
    Stone County6,10
    Mercer County6,10
    Worth County6,10


    Notes:
    Created by statecancerprofiles.cancer.gov on 12/19/2014 6:59 am.
    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.