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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 Recentaapc

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

Atchison County

Ralls County

Mercer County

St. Francois County

Caldwell County

Livingston County

Knox County

Putnam County

Scotland County

Pemiscot County

Ripley County

Chariton County

New Madrid County

Clinton County

Sullivan County

Worth County

Crawford County

Dunklin County

Gentry County

McDonald County

Osage County

Randolph County

Ray County

Wayne County

Audrain County

Carter County

Dade County

Linn County

Montgomery County

Newton County

Pike County

Schuyler County

Stoddard County

Washington County

Andrew County

Barry County

Cape Girardeau County

Cedar County

Howell County

Lafayette County

Marion County

Mississippi County

Nodaway County

Pettis County

Saline County

Texas County

Adair County

Butler County

Dent County

Harrison County

Holt County

Lincoln County

Macon County

Morgan County

Vernon County

Wright County

Barton County

Callaway County

Cooper County

Dallas County

Laclede County

Lawrence County

Lewis County

Perry County

Ste. Genevieve County

Bates County

Bollinger County

Buchanan County

Cass County

DeKalb County

Jasper County

Madison County

Maries County

Benton County

Gasconade County

Grundy County

Hickory County

Moniteau County

Shannon County

Camden County

Christian County

Clark County

Franklin County

Monroe County

Oregon County

Phelps County

Pulaski County

Webster County

Carroll County

Daviess County

Jefferson County

Shelby County

Boone County

Greene County

Ozark County

St. Clair County

St. Louis County

Iron County

Polk County

Stone County

Taney County

Howard County

St. Charles County

Warren County

Cole County

Douglas County

Johnson County

Platte County

Clay County

Reynolds County

Jackson County

St. Louis City

Scott County

Miller County

Henry County

Created by on 10/02/2023 7:49 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 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.