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Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

All Cancer Sites, 2018-2022

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

Sorted by CI*Rank

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


Owsley County


Carlisle County


Clay County


Perry County


Clinton County


Knox County


Powell County


Leslie County


Harlan County


Wolfe County


Lawrence County


Lee County


Cumberland County


Butler County


Livingston County


Floyd County


Lewis County


McCreary County


Bell County


Whitley County


Menifee County


Monroe County


Estill County


Fulton County


Gallatin County


Fleming County


Martin County


Breathitt County


Todd County


Grayson County


Magoffin County


Rockcastle County


Lincoln County


Crittenden County


Montgomery County


Johnson County


Russell County


Metcalfe County


Carroll County


Ohio County


Henry County


Webster County


Carter County


Taylor County


Morgan County


Green County


Letcher County


Pike County


Mason County


Pulaski County


Pendleton County


Calloway County


Knott County


Casey County


Hart County


Breckinridge County


Adair County


Union County


Logan County


Nelson County


Bath County


Harrison County


Marshall County


Trimble County


Mercer County


Barren County


Bourbon County


Christian County


Grant County


Nicholas County


Graves County


Larue County


Laurel County


Hardin County


Hancock County


Henderson County


Rowan County


McLean County


Meade County


Boyd County


Hopkins County


Muhlenberg County


Trigg County


Wayne County


Bracken County


Clark County


Washington County


Garrard County


Anderson County


Jackson County


Elliott County


Greenup County


Simpson County


Allen County


Warren County


Boyle County


Madison County


Caldwell County


Ballard County


Lyon County


Hickman County


Daviess County


Spencer County


Kenton County


Owen County


McCracken County


Woodford County


Campbell County


Jefferson County


Edmonson County


Franklin County


Marion County


Scott County


Shelby County


Jessamine County


Bullitt County


Fayette County


Oldham County


Boone County


Robertson County




Notes:
Created by statecancerprofiles.cancer.gov on 09/16/2024 5:12 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.

Φ Rural-Urban Continuum Codes provided by the USDA.


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.