Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

Breast, 2016-2020

All Races (includes Hispanic), Female, All Ages

Sorted by Name

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


United States

Woodford County

Whitley County

Warren County

Taylor County

Shelby County

Scott County

Rowan County

Pulaski County

Pike County

Perry County

Oldham County

Ohio County

Nelson County

Muhlenberg County

Montgomery County

Meade County

McCracken County

Marshall County

Madison County

Logan County

Lincoln County

Letcher County

Laurel County

Knox County

Kenton County

Johnson County

Jessamine County

Jefferson County

Hopkins County

Henry County

Henderson County

Hart County

Harrison County

Harlan County

Hardin County

Greenup County

Grayson County

Graves County

Garrard County

Franklin County

Floyd County

Fleming County

Fayette County

Daviess County

Clay County

Clark County

Christian County

Carter County

Campbell County

Calloway County

Bullitt County

Boyle County

Boyd County

Boone County

Bath County

Barren County

Anderson County

Allen County

Adair County Ballard County Bell County Bourbon County Bracken County Breathitt County Breckinridge County Butler County Caldwell County Carlisle County Carroll County Casey County Clinton County Crittenden County Cumberland County Edmonson County Elliott County Estill County Fulton County Gallatin County Grant County Green County Hancock County Hickman County Jackson County Knott County Larue County Lawrence County Lee County Leslie County Lewis County Livingston County Lyon County Magoffin County Marion County Martin County Mason County McCreary County McLean County Menifee County Mercer County Metcalfe County Monroe County Morgan County Nicholas County Owen County Owsley County Pendleton County Powell County Robertson County Rockcastle County Russell County Simpson County Spencer County Todd County Trigg County Trimble County Union County Washington County Wayne County Webster County Wolfe County

Created by on 07/13/2024 3:49 am.

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

* 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.

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.