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Interpretation of Death Rates Data

Death Rate Report for Missouri by County

Lung & Bronchus, 2016-2020

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

Sorted by Recentaapc

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

Scott County

Henry County

Wright County

St. Louis City

Buchanan County

Miller County

Cape Girardeau County

Jefferson County

Clay County

Jackson County

Cole County

St. Charles County

Barry County

Greene County

Platte County

St. Louis County

Barton County

Grundy County

Boone County

Shannon County

Stone County

Daviess County

Taney County

Ozark County

Christian County

Franklin County

Iron County

Pulaski County

St. Clair County

Webster County

Benton County

Douglas County

Gasconade County

Howard County

Polk County

Camden County

Cass County

Phelps County

Dallas County

Dent County

Vernon County

Hickory County

Lawrence County

Monroe County

Bates County

Cooper County

DeKalb County

Howell County

Laclede County

Marion County

Newton County

Cedar County

Jasper County

Lafayette County

Lincoln County

Madison County

Nodaway County

Shelby County

Texas County

Adair County

Dade County

Maries County

Oregon County

Ray County

Warren County

Washington County

Butler County

Callaway County

McDonald County

Mississippi County

Wayne County

Bollinger County

Clinton County

Moniteau County

Morgan County

Perry County

Pike County

Reynolds County

Saline County

Schuyler County

St. Francois County

Carter County

Clark County

Ralls County

Sullivan County

Osage County

Pemiscot County

Stoddard County

Carroll County

Dunklin County

Harrison County

Ste. Genevieve County

Gentry County

Pettis County

Ripley County

Andrew County

Johnson County

Audrain County

Crawford County

Lewis County

Linn County

New Madrid County

Macon County

Livingston County

Chariton County

Montgomery County

Caldwell County

Randolph County

Mercer County

Scotland County

Atchison County Holt County Knox County Putnam County Worth County

Created by on 09/27/2023 1:39 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.

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.