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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2019-2023

Tennessee Counties versus United States

All Cancer Sites

All Races, Both Sexes

Sorted by priority index

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

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


Tennessee


Bledsoe County


Blount County


Davidson County


Fayette County


Franklin County


Hamilton County


Knox County


Loudon County


Maury County


Wilson County


Williamson County


Moore County


Perry County


Pickett County


Anderson County


Bradley County


Campbell County


Carter County


Claiborne County


Cocke County


Coffee County


Cumberland County


Fentress County


Giles County


Grainger County


Greene County


Hamblen County


Hardin County


Henry County


Humphreys County


Jefferson County


Lawrence County


Lincoln County


Macon County


Madison County


Marion County


Marshall County


McMinn County


McNairy County


Monroe County


Montgomery County


Roane County


Robertson County


Rutherford County


Scott County


Shelby County


Smith County


Stewart County


Sullivan County


Sumner County


Tipton County


Unicoi County


Warren County


Washington County


White County


Bedford County


Benton County


Cannon County


Carroll County


Cheatham County


Chester County


Clay County


Crockett County


DeKalb County


Decatur County


Dickson County


Dyer County


Gibson County


Grundy County


Hancock County


Hardeman County


Hawkins County


Haywood County


Henderson County


Hickman County


Houston County


Jackson County


Johnson County


Lake County


Lauderdale County


Lewis County


Meigs County


Morgan County


Overton County


Polk County


Putnam County


Rhea County


Sevier County


Trousdale County


Union County


Van Buren County


Wayne County


Weakley County


Sequatchie County


Obion County




Notes:
Created by statecancerprofiles.cancer.gov on 03/15/2026 4:36 am.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.