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Interpretation of Death Rates Data

Death Rate Report for Missouri by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, Ages <65

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


Missouri


United States


Clark County


Carroll County


Platte County


St. Charles County


Daviess County


Andrew County


Adair County


Osage County


Cole County


Clay County


Boone County


St. Louis County


Nodaway County


Howard County


Shelby County


Warren County


Lewis County


Cass County


Camden County


Johnson County


Greene County


Cedar County


Lafayette County


Moniteau County


Christian County


Bollinger County


Callaway County


Douglas County


Henry County


Cape Girardeau County


Miller County


Jackson County


Franklin County


Linn County


Pulaski County


Ste. Genevieve County


Lincoln County


Ralls County


Harrison County


Clinton County


Jefferson County


Stone County


Lawrence County


Taney County


Pike County


Phelps County


Montgomery County


Dade County


Audrain County


Perry County


Monroe County


Barton County


St. Louis City


Buchanan County


Benton County


Putnam County


Jasper County


Polk County


Webster County


Maries County


Laclede County


Livingston County


Caldwell County


Texas County


Marion County


Howell County


Newton County


Barry County


Reynolds County


Saline County


Mississippi County


DeKalb County


Madison County


Bates County


Dallas County


Scott County


Ray County


Pettis County


Chariton County


Vernon County


Gasconade County


Butler County


Cooper County


Morgan County


Crawford County


Gentry County


Grundy County


Stoddard County


Randolph County


Wright County


Iron County


McDonald County


St. Francois County


Ozark County


Washington County


Mercer County


Dent County


Wayne County


St. Clair County


Atchison County


Oregon County


Macon County


New Madrid County


Dunklin County


Schuyler County


Shannon County


Pemiscot County


Ripley County


Hickory County


Carter County Holt County Knox County Scotland County Sullivan County Worth County

Notes:
Created by statecancerprofiles.cancer.gov on 07/03/2025 5:24 am.

State Cancer Registries may provide more current or more local data.
Trend
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.

Φ Rural-Urban Continuum Codes provided by the USDA.

* 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.

Data for United States does not include Puerto Rico.