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Interpretation of Death Rates Data

Death Rate Report for Missouri by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Count

Explanation of Column Headers

Objective - The objective of 122.7 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

St. Louis County

Jackson County

St. Charles County

St. Louis City

Greene County

Jefferson County

Clay County

Jasper County

Boone County

Cass County

Franklin County

Buchanan County

St. Francois County

Cape Girardeau County

Platte County

Christian County

Newton County

Cole County

Camden County

Taney County

Butler County

Howell County

Lincoln County

Pettis County

Callaway County

Barry County

Stone County

Lawrence County

Phelps County

Laclede County

Scott County

Johnson County

Benton County

Stoddard County

Dunklin County

Lafayette County

Webster County

Crawford County

Marion County

Warren County

Texas County

Polk County

Pulaski County

Audrain County

Randolph County

Morgan County

Washington County

Henry County

Ray County

McDonald County

Miller County

Saline County

New Madrid County

Adair County

Pemiscot County

Vernon County

Clinton County

Dallas County

Wright County

Macon County

Pike County

Bates County

Andrew County

Gasconade County

Perry County

Ripley County

Ste. Genevieve County

Dent County

Livingston County

Cedar County

Wayne County

Madison County

Nodaway County

Hickory County

Mississippi County

Douglas County

Cooper County

Montgomery County

Linn County

St. Clair County

Iron County

Ozark County

Oregon County

Barton County

Bollinger County

Moniteau County

DeKalb County

Ralls County

Monroe County

Osage County

Chariton County

Shannon County

Maries County

Harrison County

Caldwell County

Grundy County

Lewis County

Dade County

Daviess County

Carroll County

Howard County

Shelby County

Gentry County

Reynolds County

Carter County

Atchison County

Putnam County

Clark County

Sullivan County

Scotland County

Mercer County

Holt County

Schuyler County

Knox County

Worth County

Created by on 12/04/2023 7:06 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.

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.