Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Tennessee by County

Non-Hodgkin Lymphoma, 2015-2019

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Recentaapc

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

Greene County

Anderson County

Knox County

Loudon County

Carter County

Coffee County

Putnam County

Sullivan County

Maury County

Blount County

Dickson County

Hamilton County

McMinn County

Bradley County

Shelby County

Washington County

Roane County

Robertson County

Monroe County

Sevier County

Davidson County

Montgomery County

Williamson County

Sumner County

Wilson County

Campbell County

Rutherford County

Cumberland County

Madison County

Bedford County

Carroll County

Cheatham County

Cocke County

Gibson County

Hamblen County

Hawkins County

Henderson County

Henry County

Jefferson County

Lawrence County

Rhea County

Tipton County

Benton County Bledsoe County Cannon County Chester County Claiborne County Clay County Crockett County DeKalb County Decatur County Dyer County Fayette County Fentress County Franklin County Giles County Grainger County Grundy County Hancock County Hardeman County Hardin County Haywood County Hickman County Houston County Humphreys County Jackson County Johnson County Lake County Lauderdale County Lewis County Lincoln County Macon County Marion County Marshall County McNairy County Meigs County Moore County Morgan County Obion County Overton County Perry County Pickett County Polk 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

Created by on 05/26/2022 9:46 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:
Benton, Bledsoe, Cannon, Chester, Claiborne, Clay, Crockett, DeKalb, Decatur, Dyer, Fayette, Fentress, Franklin, Giles, Grainger, Grundy, Hancock, Hardeman, Hardin, Haywood, Hickman, Houston, Humphreys, Jackson, Johnson, Lake, Lauderdale, Lewis, Lincoln, Macon, Marion, Marshall, McNairy, Meigs, Moore, Morgan, Obion, Overton, Perry, Pickett, Polk, 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 1969-2018 US Population Data File is used with mortality data.
* 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.