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Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

All Cancer Sites, 2015-2019

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

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 0.0 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


United States

Williamson County

Moore County

Fayette County

Clay County

Cumberland County

Hamilton County

Pickett County

Wilson County

Carter County

Bledsoe County

Sequatchie County

Blount County

Loudon County

Giles County

Knox County

Rutherford County

Davidson County

Anderson County

Sumner County

Hamblen County

Bradley County

Jefferson County

Franklin County

Jackson County

Madison County

Lincoln County

Weakley County

Shelby County

Roane County

Hardin County

Washington County

Sullivan County

Putnam County

Chester County

McMinn County

Maury County

Marshall County

Smith County

Humphreys County

Obion County

Robertson County

Decatur County

Montgomery County

Henry County

Haywood County

Marion County

Cocke County

Sevier County

DeKalb County

Greene County

Hickman County

Trousdale County

Coffee County

Warren County

Union County

Hawkins County

Wayne County

White County

Lewis County

Morgan County

Lawrence County

Crockett County

Hancock County

Claiborne County

Lake County

Unicoi County

Cannon County

Gibson County

Bedford County

Grainger County

Henderson County

McNairy County

Campbell County

Dyer County

Tipton County

Rhea County

Hardeman County

Macon County

Polk County

Monroe County

Stewart County

Cheatham County

Van Buren County

Fentress County

Dickson County

Lauderdale County

Johnson County

Houston County

Meigs County

Carroll County

Benton County

Grundy County

Scott County

Perry County

Overton County

Created by on 08/11/2022 5:26 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 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 2020 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
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 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.