Return to Home Incidence > Table > Interpret

Interpretation of Incidence Rates Data

Incidence Rate Report for Indiana 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


    Indiana6,10
    US (SEER+NPCR)1,10
    Grant County6,10
    Floyd County6,10
    Lawrence County6,10
    Howard County6,10
    Elkhart County6,10
    Hancock County6,10
    Marion County6,10
    Wayne County6,10
    Kosciusko County6,10
    Warrick County6,10
    Bartholomew County6,10
    Hendricks County6,10
    Hamilton County6,10
    Johnson County6,10
    Clark County6,10
    St. Joseph County6,10
    Monroe County6,10
    Henry County6,10
    Allen County6,10
    Madison County6,10
    Marshall County6,10
    Vanderburgh County6,10
    Lake County6,10
    Jackson County6,10
    LaPorte County6,10
    Delaware County6,10
    Tippecanoe County6,10
    Morgan County6,10
    Vigo County6,10
    Noble County6,10
    Knox County6,10
    Wabash County6,10
    Shelby County6,10
    Porter County6,10
    Montgomery County6,10
    Huntington County6,10
    Miami County6,10
    Adams County6,10
    Benton County6,10
    Blackford County6,10
    Boone County6,10
    Brown County6,10
    Carroll County6,10
    Cass County6,10
    Clay County6,10
    Clinton County6,10
    Crawford County6,10
    Daviess County6,10
    DeKalb County6,10
    Dearborn County6,10
    Decatur County6,10
    Dubois County6,10
    Fayette County6,10
    Fountain County6,10
    Franklin County6,10
    Fulton County6,10
    Gibson County6,10
    Greene County6,10
    Harrison County6,10
    Jasper County6,10
    Jay County6,10
    Jefferson County6,10
    Jennings County6,10
    LaGrange County6,10
    Martin County6,10
    Newton County6,10
    Ohio County6,10
    Orange County6,10
    Owen County6,10
    Parke County6,10
    Perry County6,10
    Pike County6,10
    Posey County6,10
    Pulaski County6,10
    Putnam County6,10
    Randolph County6,10
    Ripley County6,10
    Rush County6,10
    Scott County6,10
    Spencer County6,10
    Starke County6,10
    Steuben County6,10
    Sullivan County6,10
    Switzerland County6,10
    Tipton County6,10
    Union County6,10
    Vermillion County6,10
    Warren County6,10
    Washington County6,10
    Wells County6,10
    White County6,10
    Whitley County6,10


    Notes:
    Created by statecancerprofiles.cancer.gov on 12/20/2014 12:52 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.