Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

Ovary, 2014-2018

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


Tennessee


United States


Hawkins County


Putnam County


Tipton County


Bradley County


Roane County


Loudon County


Robertson County


Greene County


Knox County


McMinn County


Maury County


Rutherford County


Sullivan County


Williamson County


Shelby County


Cumberland County


Montgomery County


Hamblen County


Davidson County


Madison County


Hamilton County


Blount County


Wilson County


Anderson County


Sevier County


Sumner County


Washington County


Bedford County Benton County Bledsoe County Campbell County Cannon County Carroll County Carter County Cheatham County Chester County Claiborne County Clay County Cocke County Coffee County Crockett County DeKalb County Decatur County Dickson County Dyer County Fayette County Fentress County Franklin County Gibson County Giles County Grainger County Grundy County Hancock County Hardeman County Hardin County Haywood County Henderson County Henry County Hickman County Houston County Humphreys County Jackson County Jefferson County Johnson County Lake County Lauderdale County Lawrence County Lewis County Lincoln County Macon County Marion County Marshall County McNairy County Meigs County Monroe County Moore County Morgan County Obion County Overton County Perry County Pickett County Polk County Rhea County Scott County Sequatchie County Smith County Stewart County Trousdale County Unicoi County Union County Van Buren County Warren County Wayne County Weakley County White County

Notes:
Created by statecancerprofiles.cancer.gov on 05/12/2021 10:11 am.

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:
Bedford, Benton, Bledsoe, Campbell, Cannon, Carroll, Carter, Cheatham, Chester, Claiborne, Clay, Cocke, Coffee, Crockett, DeKalb, Decatur, Dickson, Dyer, Fayette, Fentress, Franklin, Gibson, Giles, Grainger, Grundy, Hancock, Hardeman, Hardin, Haywood, Henderson, Henry, Hickman, Houston, Humphreys, Jackson, Jefferson, Johnson, Lake, Lauderdale, Lawrence, Lewis, Lincoln, Macon, Marion, Marshall, McNairy, Meigs, Monroe, Moore, Morgan, Obion, Overton, Perry, Pickett, Polk, Rhea, Scott, Sequatchie, Smith, Stewart, Trousdale, Unicoi, Union, Van Buren, Warren, Wayne, Weakley, 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 1969-2017 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.