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Interpretation of Death Rates Data

Death Rate Report for Tennessee 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


    Tennessee


    United States


    Moore County


    Williamson County


    Fayette County


    Pickett County


    Van Buren County


    Sumner County


    Crockett County


    Blount County


    Jefferson County


    Bledsoe County


    Rutherford County


    Wilson County


    Madison County


    Hamilton County


    Loudon County


    Cumberland County


    Carter County


    Knox County


    Chester County


    DeKalb County


    Washington County


    Anderson County


    Morgan County


    Lincoln County


    Maury County


    Sullivan County


    Bedford County


    Dyer County


    Bradley County


    Franklin County


    Davidson County


    Roane County


    Greene County


    Sevier County


    Weakley County


    Robertson County


    Lawrence County


    McMinn County


    Haywood County


    Montgomery County


    Jackson County


    Hamblen County


    Hardin County


    Monroe County


    Smith County


    Giles County


    Coffee County


    Rhea County


    Shelby County


    Hardeman County


    Hawkins County


    Unicoi County


    Henry County


    Warren County


    Hickman County


    Dickson County


    Putnam County


    Gibson County


    Cannon County


    Lewis County


    Marshall County


    McNairy County


    Lauderdale County


    Henderson County


    Wayne County


    Decatur County


    Clay County


    Polk County


    Tipton County


    Grundy County


    Fentress County


    Macon County


    Humphreys County


    Obion County


    Meigs County


    Johnson County


    Perry County


    White County


    Marion County


    Overton County


    Stewart County


    Campbell County


    Lake County


    Carroll County


    Grainger County


    Cocke County


    Sequatchie County


    Houston County


    Benton County


    Union County


    Hancock County


    Claiborne County


    Cheatham County


    Scott County


    Trousdale County




    Notes:
    Created by statecancerprofiles.cancer.gov on 07/22/2019 8:42 pm.

    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.



    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.