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Interpretation of Incidence Rates Data

Incidence Rate Report for Tennessee by County

All Races (includes Hispanic), Female, Ovary, 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


    Tennessee6,10
    US (SEER+NPCR)1,10
    Putnam County6,10
    Wilson County6,10
    Hamblen County6,10
    Coffee County6,10
    Hamilton County6,10
    Robertson County6,10
    Blount County6,10
    Williamson County6,10
    Cumberland County6,10
    Hawkins County6,10
    Sumner County6,10
    Monroe County6,10
    Roane County6,10
    Maury County6,10
    Davidson County6,10
    Montgomery County6,10
    Madison County6,10
    Sevier County6,10
    Knox County6,10
    Shelby County6,10
    Rutherford County6,10
    Washington County6,10
    Gibson County6,10
    Cocke County6,10
    Anderson County6,10
    Sullivan County6,10
    McMinn County6,10
    Warren County6,10
    Greene County6,10
    Obion County6,10
    Loudon County6,10
    Lincoln County6,10
    Bedford County6,10
    Bradley County6,10
    Carter County6,10
    Jefferson County6,10
    Rhea County6,10
    Giles County6,10
    Benton County6,10
    Bledsoe County6,10
    Campbell County6,10
    Cannon County6,10
    Carroll County6,10
    Cheatham County6,10
    Chester County6,10
    Claiborne County6,10
    Clay County6,10
    Crockett County6,10
    DeKalb County6,10
    Decatur County6,10
    Dickson County6,10
    Dyer County6,10
    Fayette County6,10
    Fentress County6,10
    Franklin County6,10
    Grainger County6,10
    Grundy County6,10
    Hancock County6,10
    Hardeman County6,10
    Hardin County6,10
    Haywood County6,10
    Henderson County6,10
    Henry County6,10
    Hickman County6,10
    Houston County6,10
    Humphreys County6,10
    Jackson County6,10
    Johnson County6,10
    Lake County6,10
    Lauderdale County6,10
    Lawrence County6,10
    Lewis County6,10
    Macon County6,10
    Marion County6,10
    Marshall County6,10
    McNairy County6,10
    Meigs County6,10
    Moore County6,10
    Morgan County6,10
    Overton County6,10
    Perry County6,10
    Pickett County6,10
    Polk County6,10
    Scott County6,10
    Sequatchie County6,10
    Smith County6,10
    Stewart County6,10
    Tipton County6,10
    Trousdale County6,10
    Unicoi County6,10
    Union County6,10
    Van Buren County6,10
    Wayne County6,10
    Weakley County6,10
    White County6,10


    Notes:
    Created by statecancerprofiles.cancer.gov on 12/18/2014 6:31 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.