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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

Pancreas

All Races, Both Sexes

Sorted by name

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


Wilson County


Williamson County


White County


Weakley County


Wayne County


Washington County


Warren County


Van Buren County


Union County


Unicoi County


Trousdale County


Tipton County


Sumner County


Sullivan County


Stewart County


Smith County


Shelby County


Sevier County


Sequatchie County


Scott County


Rutherford County


Robertson County


Roane County


Rhea County


Putnam County


Polk County


Pickett County


Perry County


Overton County


Obion County


Morgan County


Moore County


Montgomery County


Monroe County


Meigs County


McNairy County


McMinn County


Maury County


Marshall County


Marion County


Madison County


Macon County


Loudon County


Lincoln County


Lewis County


Lawrence County


Lauderdale County


Lake County


Knox County


Johnson County


Jefferson County


Jackson County


Humphreys County


Houston County


Hickman County


Henry County


Henderson County


Haywood County


Hawkins County


Hardin County


Hardeman County


Hancock County


Hamilton County


Hamblen County


Grundy County


Greene County


Grainger County


Giles County


Gibson County


Franklin County


Fentress County


Fayette County


Dyer County


Dickson County


Decatur County


DeKalb County


Davidson County


Cumberland County


Crockett County


Coffee County


Cocke County


Clay County


Claiborne County


Chester County


Cheatham County


Carter County


Carroll County


Cannon County


Campbell County


Bradley County


Blount County


Bledsoe County


Benton County


Bedford County


Anderson County




Notes:
Created by statecancerprofiles.cancer.gov on 06/21/2024 2:07 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

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Bledsoe County, Cannon County, Chester County, Clay County, Crockett County, Decatur County, Grundy County, Hancock County, Houston County, Humphreys County, Jackson County, Lake County, Lewis County, Macon County, Meigs County, Moore County, Morgan County, Perry County, Pickett County, Sequatchie County, Stewart County, Trousdale County, Unicoi County, Van Buren County, Wayne County

Trend for the following could not be reliably determined due to small number of deaths per year:
Bedford County, Benton County, Cheatham County, Claiborne County, Cocke County, DeKalb County, Dickson County, Fayette County, Fentress County, Giles County, Grainger County, Hardin County, Haywood County, Hickman County, Johnson County, Lawrence County, Marion County, Overton County, Polk County, Scott County, Smith County, Tipton County, Union County, White County


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.