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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


    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

    Created by on 07/22/2019 8:42 pm.

    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.