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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 CI*Rank

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


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

Created by on 11/28/2021 12:28 am.

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

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Allen, Ballard, Bath, Bracken, Breathitt, Butler, Caldwell, Carlisle, Carroll, Casey, Clinton, Crittenden, Cumberland, Edmonson, Elliott, Estill, Fleming, Fulton, Gallatin, Garrard, Green, Hancock, Harrison, Hart, Henry, Hickman, Jackson, Knott, Larue, Lee, Leslie, Lewis, Lincoln, Livingston, Lyon, Magoffin, Marion, Martin, McCreary, McLean, Menifee, Metcalfe, Monroe, Morgan, Nicholas, Owen, Owsley, Pendleton, Powell, Robertson, Rockcastle, Rowan, Russell, Simpson, Todd, Trigg, Trimble, Union, Washington, Wayne, Wolfe, Woodford

† 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.
⋔ 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.

* 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).

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.