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Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

Breast, 2016-2020

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 15.3 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


Crockett County


Unicoi County


Scott County


Weakley County


Grundy County


Henderson County


Tipton County


Lauderdale County


Union County


Dickson County


Shelby County


Hickman County


Chester County


Morgan County


Cheatham County


McNairy County


Bradley County


Carroll County


Dyer County


Lawrence County


Hardeman County


Campbell County


Warren County


Lincoln County


Sullivan County


Cumberland County


Claiborne County


Overton County


Coffee County


Gibson County


Humphreys County


Madison County


Anderson County


Monroe County


Davidson County


Marion County


Putnam County


White County


Rutherford County


Loudon County


Marshall County


Sevier County


DeKalb County


Hamblen County


Sumner County


Giles County


Bedford County


McMinn County


Hamilton County


Williamson County


Hawkins County


Obion County


Washington County


Montgomery County


Cocke County


Wilson County


Knox County


Blount County


Rhea County


Jefferson County


Henry County


Robertson County


Maury County


Franklin County


Fayette County


Carter County


Hardin County


Greene County


Roane County


Benton County Bledsoe County Cannon County Clay County Decatur County Fentress County Grainger County Hancock County Haywood County Houston 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

Notes:
Created by statecancerprofiles.cancer.gov on 12/07/2022 8:36 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.
* 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).


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.