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Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Male, All Ages

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 122.7 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


Line by Line Interpretation of the Report


Tennessee


United States


Houston County


Overton County


Cannon County


Benton County


Grundy County


Fentress County


Carroll County


Meigs County


Stewart County


Van Buren County


Lauderdale County


Macon County


Lewis County


Haywood County


Bedford County


Monroe County


Polk County


Scott County


Crockett County


Trousdale County


Lawrence County


McNairy County


Henderson County


Johnson County


Perry County


Tipton County


Rhea County


Union County


Dyer County


Dickson County


Warren County


Hancock County


Gibson County


Unicoi County


Montgomery County


Henry County


Grainger County


White County


Campbell County


Coffee County


Hickman County


Marshall County


Morgan County


Cheatham County


McMinn County


Chester County


Obion County


Hawkins County


Greene County


Robertson County


Pickett County


Cocke County


Hardeman County


Lake County


Decatur County


Putnam County


Claiborne County


Marion County


Sevier County


DeKalb County


Smith County


Humphreys County


Jefferson County


Hamblen County


Hardin County


Giles County


Sullivan County


Maury County


Shelby County


Wayne County


Weakley County


Rutherford County


Lincoln County


Washington County


Bradley County


Jackson County


Madison County


Sumner County


Davidson County


Roane County


Franklin County


Carter County


Clay County


Knox County


Wilson County


Anderson County


Blount County


Loudon County


Hamilton County


Cumberland County


Bledsoe County


Fayette County


Moore County


Sequatchie County


Williamson County




Notes:
Created by statecancerprofiles.cancer.gov on 02/03/2023 4:33 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 data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 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 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 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.