Return to Home Mortality > Table > Interpret

Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2018-2022

Tennessee Counties versus United States

Pancreas

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


Gibson County


Montgomery County


Putnam County


Sumner County


Anderson County


Blount County


Bradley County


Campbell County


Carroll County


Carter County


Coffee County


Cumberland County


Davidson County


Dyer County


Franklin County


Greene County


Hamblen County


Hamilton County


Hardeman County


Hawkins County


Henderson County


Henry County


Jefferson County


Knox County


Lauderdale County


Lincoln County


Loudon County


Madison County


Marshall County


Maury County


McMinn County


McNairy County


Monroe County


Obion County


Rhea County


Roane County


Robertson County


Rutherford County


Sevier County


Sullivan County


Warren County


Washington County


Weakley County


Williamson County


Wilson County


Shelby County


Bedford County Benton County Cheatham County Claiborne County Cocke County Crockett County DeKalb County Dickson County Fayette County Fentress County Giles County Grainger County Grundy County Hardin County Haywood County Hickman County Jackson County Johnson County Lawrence County Marion County Overton County Polk County Smith County Tipton County Unicoi County White County Bledsoe County Cannon County Chester County Clay County Decatur County Hancock County Houston County Humphreys County Lake County Lewis County Macon County Meigs County Moore County Morgan County Perry County Pickett County Scott County Sequatchie County Stewart County Trousdale County Union County Van Buren County Wayne County

Notes:
Created by statecancerprofiles.cancer.gov on 10/12/2024 6:37 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 5.1. 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, Decatur County, Hancock County, Houston County, Humphreys County, Lake County, Lewis County, Macon County, Meigs County, Moore County, Morgan County, Perry County, Pickett County, Scott County, Sequatchie County, Stewart County, Trousdale County, Union 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, Crockett County, DeKalb County, Dickson County, Fayette County, Fentress County, Giles County, Grainger County, Grundy County, Hardin County, Haywood County, Hickman County, Jackson County, Johnson County, Lawrence County, Marion County, Overton County, Polk County, Smith County, Tipton County, Unicoi 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.