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Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

Pancreas, 2015-2019

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

Sorted by Rate

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


Kentucky


United States


Meade County


Lawrence County


Webster County


Logan County


Grant County


Greenup County


Bourbon County


Whitley County


Oldham County


Hopkins County


Anderson County


Clark County


Mason County


Shelby County


Ohio County


Spencer County


Breckinridge County


Pike County


Mercer County


Clay County


Muhlenberg County


Floyd County


Adair County


Jefferson County


Hardin County


Daviess County


Letcher County


McCracken County


Taylor County


Montgomery County


Calloway County


Johnson County


Bullitt County


Graves County


Carter County


Kenton County


Warren County


Grayson County


Scott County


Campbell County


Henderson County


Marshall County


Pulaski County


Fayette County


Knox County


Boyd County


Laurel County


Boyle County


Perry County


Harlan County


Bell County


Jessamine County


Boone County


Christian County


Barren County


Franklin County


Nelson County


Madison County


Allen County Ballard County Bath County Bracken County Breathitt County Butler County Caldwell County Carlisle County Carroll County Casey County Clinton County Crittenden County Cumberland County Edmonson County Elliott County Estill County Fleming County Fulton County Gallatin County Garrard County Green County Hancock County Harrison County Hart County Henry County Hickman County Jackson County Knott County Larue County Lee County Leslie County Lewis County Lincoln County Livingston County Lyon County Magoffin County Marion County Martin County McCreary County McLean County Menifee County Metcalfe County Monroe County Morgan County Nicholas County Owen County Owsley County Pendleton County Powell County Robertson County Rockcastle County Rowan County Russell County Simpson County Todd County Trigg County Trimble County Union County Washington County Wayne County Wolfe County Woodford County

Notes:
Created by statecancerprofiles.cancer.gov on 12/05/2021 12:32 pm.

State Cancer Registries may provide more current or more local data.
Trend
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.

† 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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).


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

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.