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Interpretation of Death Rates Data

Death Rate Report for Indiana by County

All Cancer Sites, 2011-2015

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

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 161.4 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


    United States

    Hamilton County

    Parke County

    Warren County

    Wells County

    Warrick County

    Dubois County

    Spencer County

    LaGrange County

    Carroll County

    Marshall County

    Gibson County

    Pulaski County

    Monroe County

    Posey County

    Hendricks County

    Tippecanoe County

    Elkhart County

    Johnson County

    Tipton County

    Ohio County

    Montgomery County

    Union County

    Crawford County

    Pike County

    Shelby County

    Adams County

    Floyd County

    Allen County

    Howard County

    Daviess County

    Boone County

    Whitley County

    Delaware County

    Decatur County

    Newton County

    Porter County

    Huntington County

    Bartholomew County

    Vanderburgh County

    St. Joseph County

    Brown County

    Miami County

    Noble County

    Harrison County

    Franklin County

    Clark County

    Lawrence County

    DeKalb County

    Clinton County

    Benton County

    Jefferson County

    White County

    Kosciusko County

    Cass County

    Hancock County

    Steuben County

    Randolph County

    Greene County

    Lake County

    Blackford County

    Madison County

    Wabash County

    Henry County

    Ripley County

    Vigo County

    LaPorte County

    Dearborn County

    Marion County

    Wayne County

    Fulton County

    Jasper County

    Putnam County

    Jennings County

    Fountain County

    Morgan County

    Owen County

    Grant County

    Washington County

    Knox County

    Scott County

    Jay County

    Fayette County

    Rush County

    Perry County

    Switzerland County

    Vermillion County

    Sullivan County

    Martin County

    Clay County

    Starke County

    Orange County

    Jackson County

    Created by on 07/18/2019 12:41 am.

    State Cancer Registries may provide more current or more local data.
    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.

    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.