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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 50+

Sorted by Rate

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


New Madrid County


Ripley County


Oregon County


Shannon County


Gentry County


Washington County


Randolph County


Carter County


Butler County


Madison County


Iron County


St. Francois County


Pemiscot County


Montgomery County


Dunklin County


McDonald County


Putnam County


Crawford County


Atchison County


Ray County


Stoddard County


Benton County


Mercer County


Ozark County


Wayne County


Hickory County


Howell County


Macon County


Pettis County


Maries County


Morgan County


Laclede County


Mississippi County


Dallas County


Linn County


Knox County


Lincoln County


Webster County


Douglas County


Pulaski County


Barry County


Lawrence County


Shelby County


Wright County


Newton County


Adair County


Marion County


Henry County


Saline County


Sullivan County


Jasper County


St. Clair County


Schuyler County


Buchanan County


Dent County


Clinton County


Reynolds County


Miller County


Callaway County


Dade County


Jefferson County


Moniteau County


Scott County


Scotland County


Perry County


Audrain County


Andrew County


Texas County


Livingston County


Lafayette County


Johnson County


Ralls County


Grundy County


DeKalb County


St. Louis City


Harrison County


Bollinger County


Vernon County


Chariton County


Pike County


Worth County


Gasconade County


Cooper County


Monroe County


Franklin County


Lewis County


Camden County


Bates County


Ste. Genevieve County


Jackson County


Taney County


Polk County


Cass County


Christian County


Clay County


Cedar County


Warren County


Clark County


Phelps County


Barton County


Nodaway County


St. Louis County


Boone County


Daviess County


Greene County


Caldwell County


Carroll County


Howard County


Cape Girardeau County


Osage County


Holt County


Stone County


St. Charles County


Cole County


Platte County




Notes:
Created by statecancerprofiles.cancer.gov on 11/12/2024 1:17 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.


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.