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Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

Breast, 2015-2019

All Races (includes Hispanic), Female, 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

Roane County

Carter County

Rhea County

Maury County

Cocke County

Greene County

Fayette County

McMinn County

Wilson County

Blount County

Loudon County

Bedford County

Henry County

Montgomery County

Knox County

Hardin County

Jefferson County

Hawkins County

Giles County

Hamblen County

Sumner County

Madison County

Franklin County

Cumberland County

Grainger County

Washington County

Robertson County

Rutherford County

Williamson County

Hamilton County

Carroll County

Cheatham County

Obion County

Gibson County

Marshall County

Sevier County

Davidson County

Putnam County

Monroe County

Sullivan County

Benton County

Campbell County

Warren County

Marion County

Overton County

Bradley County

Dyer County

Lincoln County

Coffee County

Lawrence County

Henderson County

White County

Dickson County

Morgan County

Anderson County

McNairy County

Hickman County

Lauderdale County

Claiborne County

Shelby County

Tipton County

Union County

Weakley County

Hardeman County

Chester County

Unicoi County

Scott County

Bledsoe County Cannon County Clay County Crockett County DeKalb County Decatur County Fentress County Grundy County Hancock County Haywood County Houston County Humphreys County Jackson County Johnson County Lake County Lewis County Macon County Meigs County Moore County Perry County Pickett County Polk County Sequatchie County Smith County Stewart County Trousdale County Van Buren County Wayne County

Created by on 10/05/2022 6:05 pm.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Bledsoe, Cannon, Clay, Crockett, DeKalb, Decatur, Fentress, Grundy, Hancock, Haywood, Houston, Humphreys, Jackson, Johnson, Lake, Lewis, Macon, Meigs, Moore, Perry, Pickett, Polk, Sequatchie, Smith, Stewart, Trousdale, Van Buren, Wayne

† 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.
⋔ 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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

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.