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Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

Breast, 2018-2022

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 15.3 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


Lawrence County


Bath County


Knott County


Perry County


Allen County


Harlan County


Floyd County


Hart County


Henry County


Grayson County


Christian County


Nelson County


Harrison County


Scott County


Grant County


Pulaski County


Taylor County


Simpson County


Warren County


Clark County


Logan County


Ohio County


Rowan County


Johnson County


Calloway County


Boyd County


Madison County


Hardin County


Muhlenberg County


McCracken County


Barren County


Knox County


Pike County


Shelby County


Lincoln County


Henderson County


Bell County


Fayette County


Woodford County


Campbell County


Wayne County


Bullitt County


Marshall County


Jefferson County


Boyle County


Mercer County


Graves County


Letcher County


Hopkins County


Kenton County


Carter County


Whitley County


Jessamine County


Greenup County


Franklin County


Laurel County


Daviess County


Boone County


Oldham County


Adair County Anderson County Ballard County Bourbon County Bracken County Breathitt County Breckinridge County Butler County Caldwell County Carlisle County Carroll County Casey County Clay 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 Hickman County Jackson County Larue County Lee County Leslie County Lewis County Livingston County Lyon County Magoffin County Marion County Martin County Mason County McCreary County McLean County Meade County Menifee County Metcalfe County Monroe County Montgomery County Morgan County Nicholas County Owen County Owsley County Pendleton County Powell County Robertson County Rockcastle County Russell County Spencer County Todd County Trigg County Trimble County Union County Washington County Webster County Wolfe County

Notes:
Created by statecancerprofiles.cancer.gov on 10/07/2024 7:03 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.

* 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.

Data for United States does not include Puerto Rico.