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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, All Ages

Sorted by CI*Rank

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

Clark County

Carroll County

Platte County

Grundy County

Douglas County

Howard County

St. Charles County

Boone County

Osage County

Camden County

Cole County

Warren County

Taney County

Moniteau County

Stone County

Nodaway County

Lewis County

Christian County

Ste. Genevieve County

Daviess County

St. Louis County

Greene County

Reynolds County

Polk County

Clay County

Miller County

Perry County

Cooper County

Holt County

Harrison County

Cass County

Franklin County

Jackson County

Schuyler County

Johnson County

Oregon County

Sullivan County

Cape Girardeau County

Maries County

Ralls County

Shelby County

Dade County

Barton County

Gasconade County

Vernon County

St. Clair County

Ozark County

Dent County

Cedar County

Texas County

Andrew County

Scott County

Buchanan County

Henry County

Bollinger County

Lincoln County

Gentry County

Phelps County

Barry County

Saline County

Lafayette County

Webster County

Scotland County

St. Louis City

Atchison County

Knox County

Pulaski County

Pike County

Jefferson County

Wright County

Clinton County

Monroe County

Shannon County

Lawrence County

Adair County

Callaway County

Iron County

Worth County

Jasper County

Wayne County

Bates County

Macon County

Newton County

Putnam County

Livingston County

Ray County

Caldwell County

Marion County

Hickory County

Dallas County

Linn County

Howell County

Morgan County

DeKalb County

Chariton County

Pettis County

Laclede County

Audrain County

Carter County

Washington County

Stoddard County

Montgomery County

Butler County

Mercer County

Ripley County

New Madrid County

McDonald County

Madison County

Benton County

Mississippi County

Crawford County

Randolph County

Dunklin County

St. Francois County

Pemiscot County

Created by on 04/13/2024 8:06 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.
⋔ 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.

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.