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Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

All Cancer Sites, 2016-2020

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

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 122.7 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


Casey County


Clay County


Morgan County


Leslie County


Grayson County


Harlan County


Simpson County


Green County


Metcalfe County


Fleming County


Hart County


Knox County


Monroe County


Owsley County


Perry County


Rowan County


Taylor County


Bath County


Cumberland County


Estill County


Hickman County


Lawrence County


Lewis County


Russell County


Anderson County


Clinton County


Livingston County


Whitley County


Henry County


Johnson County


Lee County


Breathitt County


Calloway County


Carlisle County


Knott County


Nicholas County


Pike County


Pulaski County


Washington County


Carroll County


Crittenden County


Floyd County


Laurel County


Marshall County


Mason County


Robertson County


Rockcastle County


Trimble County


Allen County


Barren County


Butler County


Graves County


Hancock County


Harrison County


Larue County


Lincoln County


Logan County


Martin County


Powell County


Wayne County


Wolfe County


Fulton County


Henderson County


Jackson County


Letcher County


Montgomery County


Union County


Adair County


Garrard County


Hardin County


Meade County


Menifee County


Mercer County


Ohio County


Pendleton County


Webster County


Bell County


Caldwell County


Christian County


Gallatin County


Hopkins County


McLean County


Muhlenberg County


Todd County


Boyd County


Bracken County


Greenup County


Lyon County


Magoffin County


McCreary County


Nelson County


Carter County


Daviess County


Grant County


Marion County


McCracken County


Madison County


Warren County


Boyle County


Breckinridge County


Edmonson County


Spencer County


Franklin County


Owen County


Shelby County


Campbell County


Oldham County


Ballard County


Trigg County


Bullitt County


Fayette County


Jessamine County


Scott County


Bourbon County


Elliott County


Jefferson County


Kenton County


Boone County


Woodford County


Clark County




Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 10:38 am.

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 2030 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.
‡ 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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.


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.
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.