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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), Both Sexes, All Ages

Sorted by Recentaapc

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


United States

Sequatchie County

Hamilton County

Obion County

Knox County

Shelby County

Davidson County

Marion County

Williamson County

Wilson County

Moore County

Blount County

Fayette County

Loudon County

Sumner County

Bledsoe County

Rutherford County

Carter County

Lincoln County

Maury County

Hamblen County

Anderson County

Bradley County

Clay County

Cumberland County

Haywood County

Jackson County

Madison County

Roane County

Washington County

Cocke County

Franklin County

Giles County

Jefferson County

Lake County

Lawrence County

McMinn County

Montgomery County

Morgan County

Polk County

Robertson County

Union County

White County

Cheatham County

Coffee County

Sullivan County

Trousdale County

Campbell County

Claiborne County

Fentress County

Henry County

Lewis County

Marshall County

Bedford County

Decatur County

Greene County

Humphreys County

Lauderdale County

Pickett County

Rhea County

Scott County

DeKalb County

Dickson County

Dyer County

Gibson County

Grainger County

Hardin County

Hickman County

Monroe County

Putnam County

Tipton County

Weakley County

Henderson County

Macon County

Sevier County

Hardeman County

McNairy County

Perry County

Van Buren County

Warren County

Wayne County

Carroll County

Hancock County

Unicoi County

Hawkins County

Overton County

Stewart County

Cannon County

Chester County

Johnson County

Benton County

Crockett County

Grundy County

Houston County

Meigs County

Smith County

Created by on 09/22/2023 2:30 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 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.