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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, Ages 50+

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


Boone County


Fayette County


Robertson County


Woodford County


Oldham County


Lyon County


Jessamine County


Owen County


Trimble County


Bullitt County


Calloway County


McCracken County


Scott County


Caldwell County


Edmonson County


Spencer County


Jefferson County


Trigg County


Shelby County


Bracken County


Madison County


Rockcastle County


Daviess County


Elliott County


Adair County


Campbell County


Marion County


Franklin County


Warren County


Boyle County


Kenton County


Ballard County


Garrard County


Graves County


Clark County


Muhlenberg County


Hardin County


Henderson County


Grant County


Allen County


Nelson County


Wayne County


Breckinridge County


Christian County


Harrison County


Rowan County


Marshall County


Green County


Boyd County


Hickman County


Larue County


Bourbon County


Barren County


Hopkins County


Logan County


Mercer County


Crittenden County


Ohio County


Mason County


Webster County


Greenup County


Knott County


Jackson County


Fulton County


Nicholas County


Pulaski County


Anderson County


Taylor County


Hancock County


Simpson County


Carlisle County


Casey County


McLean County


Carter County


Pendleton County


Union County


Laurel County


Bath County


Breathitt County


Estill County


Magoffin County


Washington County


Bell County


Meade County


Lincoln County


Russell County


Clinton County


Pike County


Livingston County


Metcalfe County


Todd County


Henry County


Montgomery County


Grayson County


Hart County


Carroll County


Lewis County


Owsley County


Menifee County


Gallatin County


Knox County


Martin County


Letcher County


Lee County


Morgan County


McCreary County


Monroe County


Cumberland County


Wolfe County


Fleming County


Harlan County


Johnson County


Lawrence County


Powell County


Floyd County


Butler County


Whitley County


Leslie County


Clay County


Perry County




Notes:
Created by statecancerprofiles.cancer.gov on 12/01/2022 11:41 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.

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.