Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

Lung & Bronchus, 2015-2019

All Races (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


Perry County


Scott County


Campbell County


Houston County


Lauderdale County


Benton County


Rhea County


Fentress County


Carroll County


Overton County


Macon County


Grainger County


Hancock County


Jackson County


Lewis County


Claiborne County


Monroe County


Union County


Trousdale County


Johnson County


Cheatham County


Pickett County


DeKalb County


Hardeman County


Dyer County


Polk County


Decatur County


Wayne County


Cocke County


Hawkins County


Dickson County


McNairy County


Tipton County


Stewart County


White County


Greene County


Hickman County


Gibson County


Lawrence County


Grundy County


Henderson County


Van Buren County


Meigs County


Henry County


Hardin County


McMinn County


Morgan County


Sequatchie County


Robertson County


Obion County


Weakley County


Putnam County


Unicoi County


Sevier County


Jefferson County


Bledsoe County


Bedford County


Marshall County


Warren County


Maury County


Roane County


Smith County


Lake County


Cannon County


Humphreys County


Crockett County


Chester County


Hamblen County


Marion County


Montgomery County


Sullivan County


Franklin County


Haywood County


Coffee County


Washington County


Bradley County


Anderson County


Lincoln County


Moore County


Blount County


Madison County


Loudon County


Sumner County


Wilson County


Rutherford County


Cumberland County


Carter County


Giles County


Knox County


Clay County


Davidson County


Shelby County


Hamilton County


Fayette County


Williamson County




Notes:
Created by statecancerprofiles.cancer.gov on 11/27/2021 11:39 am.

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