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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 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


Carter County


Gentry County


Ripley County


New Madrid County


Montgomery County


Oregon County


Madison County


Randolph County


Butler County


Washington County


Iron County


St. Francois County


Shannon County


Ray County


Crawford County


Benton County


Putnam County


Dunklin County


McDonald County


Stoddard County


Sullivan County


Linn County


Howell County


Lawrence County


Wayne County


Laclede County


Mississippi County


Andrew County


Maries County


Mercer County


Pettis County


Saline County


Lincoln County


Adair County


Clinton County


Webster County


Pemiscot County


Atchison County


Macon County


Ozark County


Morgan County


Pulaski County


Marion County


Johnson County


Douglas County


Reynolds County


Lafayette County


Callaway County


Newton County


Shelby County


Moniteau County


Perry County


Audrain County


Jefferson County


Miller County


Dallas County


Buchanan County


Barry County


Henry County


Knox County


Jasper County


Ralls County


Dade County


Bollinger County


Lewis County


DeKalb County


Dent County


Livingston County


Franklin County


St. Clair County


Scotland County


Clark County


Hickory County


Texas County


Scott County


Wright County


Camden County


Cooper County


Chariton County


Monroe County


Worth County


Cass County


St. Louis City


Vernon County


Clay County


Harrison County


Cedar County


Daviess County


Osage County


Carroll County


Bates County


Christian County


Warren County


Pike County


Holt County


Nodaway County


Jackson County


Caldwell County


Boone County


St. Louis County


Ste. Genevieve County


Taney County


Polk County


Gasconade County


St. Charles County


Howard County


Greene County


Grundy County


Barton County


Cape Girardeau County


Phelps County


Stone County


Schuyler County


Cole County


Platte County




Notes:
Created by statecancerprofiles.cancer.gov on 10/04/2024 2:53 pm.

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.