Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Kentucky by County

Lung & Bronchus, 2015-2019

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

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 0.0 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

Shelby County

Carroll County

Carlisle County

Cumberland County

Menifee County

Owsley County

Bath County

Clinton County

Leslie County

Lewis County

Russell County

Clay County

Simpson County

Trimble County

Powell County

Breckinridge County

Hancock County

Harlan County

Knox County

Martin County

Monroe County

Montgomery County

Estill County

Fulton County

Laurel County

Mason County

Morgan County

Nicholas County

Perry County

Taylor County

Grayson County

Caldwell County

Green County

Larue County

Washington County

Harrison County

Hart County

Union County

Whitley County

Wolfe County

Barren County

Clark County

Henry County

Jackson County

Lincoln County

Edmonson County

Johnson County

Lawrence County

Ohio County

Pendleton County

Marshall County

McLean County

Pulaski County

Crittenden County

Graves County

Livingston County

Metcalfe County

Nelson County

Breathitt County

Butler County

Magoffin County

Pike County

Boyd County

Bracken County

Calloway County

Fleming County

Knott County

Meade County

Mercer County

Allen County

Greenup County

Hickman County

Marion County

Bell County

Bourbon County

Hardin County

Hopkins County

Madison County

Rowan County

Todd County

Jessamine County

Letcher County

Adair County

Carter County

Lyon County

Muhlenberg County

Gallatin County

Grant County

Wayne County

Ballard County

Henderson County

Trigg County

Woodford County

Owen County

Warren County

Webster County

Christian County

Boone County

Bullitt County

Oldham County

Scott County

Elliott County

Floyd County

Spencer County

Jefferson County

Campbell County

McCracken County

Kenton County

Fayette County

Lee County

Logan County

Boyle County

Daviess County

Anderson County

Casey County

Franklin County

McCreary County

Garrard County

Rockcastle County

Robertson County

Created by on 10/01/2022 1:06 pm.

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 2020 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 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.

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.