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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

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


Benton County


Cannon County


Carroll County


Chester County


Crockett County


DeKalb County


Decatur County


Dyer County


Grainger County


Grundy County


Hardeman County


Hardin County


Hawkins County


Henderson County


Hickman County


Houston County


Humphreys County


Johnson County


Macon County


McNairy County


Meigs County


Overton County


Perry County


Smith County


Stewart County


Unicoi County


Van Buren County


Warren County


Wayne County


Bedford County


Bradley County


Campbell County


Cheatham County


Claiborne County


Cocke County


Coffee County


Dickson County


Fentress County


Franklin County


Gibson County


Giles County


Greene County


Hamblen County


Haywood County


Henry County


Jefferson County


Lauderdale County


Lawrence County


Lewis County


Lincoln County


Madison County


Marion County


Marshall County


Maury County


McMinn County


Monroe County


Montgomery County


Morgan County


Obion County


Polk County


Putnam County


Rhea County


Roane County


Robertson County


Scott County


Sevier County


Shelby County


Sullivan County


Tipton County


Union County


Washington County


Weakley County


White County


Hancock County


Lake County


Pickett County


Trousdale County


Anderson County


Bledsoe County


Blount County


Carter County


Clay County


Cumberland County


Davidson County


Fayette County


Hamilton County


Jackson County


Knox County


Loudon County


Moore County


Rutherford County


Sequatchie County


Sumner County


Wilson County


Williamson County




Notes:
Created by statecancerprofiles.cancer.gov on 04/23/2024 9:05 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 Version 4.8.0.0. 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 (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 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 does not include Puerto Rico.