Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Indiana by County

Lung & Bronchus, 2016-2020

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

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 25.1 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

Hamilton County

Dubois County

Tipton County

Carroll County

Monroe County

Marshall County

Elkhart County

Steuben County

Boone County

Tippecanoe County

Allen County

Posey County

Montgomery County

Union County

Wells County

Jasper County

Bartholomew County

Hendricks County

Lake County

Warrick County

Decatur County

St. Joseph County

Spencer County

Franklin County

Gibson County

Adams County

Rush County

Daviess County

Porter County

Warren County

Kosciusko County

Cass County

Johnson County

Miami County

Hancock County

Ripley County

Jay County

Vanderburgh County

Huntington County

Wabash County

LaPorte County

Marion County

LaGrange County

Benton County

Whitley County

Floyd County

Wayne County

Lawrence County

Pulaski County

Howard County

DeKalb County

Knox County

Randolph County

Harrison County

White County

Noble County

Vigo County

Delaware County

Morgan County

Fountain County

Ohio County

Jackson County

Dearborn County

Fulton County

Clinton County

Perry County

Parke County

Grant County

Sullivan County

Madison County

Fayette County

Switzerland County

Vermillion County

Clark County

Brown County

Pike County

Putnam County

Orange County

Henry County

Owen County

Newton County

Clay County

Shelby County

Greene County

Martin County

Washington County

Jefferson County

Blackford County

Starke County

Crawford County

Jennings County

Scott County

Created by on 06/03/2023 1:25 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.

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.