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Interpretation of Death Rates Data

Death Rate Report for Indiana by County

Cervix, 2011-2015

All Races (includes Hispanic), Female, All Ages

Sorted by Count

Explanation of Column Headers

Objective - The objective of 2.2 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


    Indiana


    United States


    Marion County


    Lake County


    Allen County


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

    Notes:
    Created by statecancerprofiles.cancer.gov on 07/21/2019 11:47 am.

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

    * Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


    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.