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Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

All Cancer Sites, 2015-2019

Black (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


Tennessee


United States


Dickson County


Henry County


Obion County


Gibson County


Anderson County


Lincoln County


Henderson County


Dyer County


Robertson County


Lauderdale County


Crockett County


Hardeman County


Jefferson County


Tipton County


Fayette County


Washington County


Knox County


Carroll County


Maury County


Shelby County


Montgomery County


Greene County


Marshall County


Sumner County


Madison County


Davidson County


Franklin County


Haywood County


Hamilton County


Giles County


McNairy County


Hamblen County


Sullivan County


Wilson County


Weakley County


Bradley County


Bedford County


Blount County


Rutherford County


McMinn County


Roane County


Williamson County


Benton County Bledsoe County Campbell County Cannon County Carter County Cheatham County Chester County Claiborne County Clay County Cocke County Coffee County Cumberland County DeKalb County Decatur County Fentress County Grainger County Grundy County Hancock County Hardin County Hawkins County Hickman County Houston County Humphreys County Jackson County Johnson County Lake County Lawrence County Lewis County Loudon County Macon County Marion County Meigs County Monroe County Moore County Morgan County Overton County Perry County Pickett County Polk County Putnam County Rhea County Scott County Sequatchie County Sevier County Smith County Stewart County Trousdale County Unicoi County Union County Van Buren County Warren County Wayne County White County

Notes:
Created by statecancerprofiles.cancer.gov on 08/10/2022 11:23 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:
Benton, Bledsoe, Campbell, Cannon, Carter, Cheatham, Chester, Claiborne, Clay, Cocke, Coffee, Cumberland, DeKalb, Decatur, Fentress, Grainger, Grundy, Hancock, Hardin, Hawkins, Hickman, Houston, Humphreys, Jackson, Johnson, Lake, Lawrence, Lewis, Loudon, Macon, Marion, Meigs, Monroe, Moore, Morgan, Overton, Perry, Pickett, Polk, Putnam, Rhea, Scott, Sequatchie, Sevier, Smith, Stewart, Trousdale, Unicoi, Union, Van Buren, Warren, Wayne, White

† 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.