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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, Ages 50+

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


Missouri


United States


Atchison County


Mercer County


Ralls County


Knox County


Putnam County


Scotland County


Johnson County


Livingston County


New Madrid County


Pemiscot County


Ripley County


Caldwell County


Chariton County


Henry County


Andrew County


Clinton County


McDonald County


Randolph County


Worth County


Crawford County


Dunklin County


Gentry County


Osage County


Schuyler County


St. Francois County


Stoddard County


Adair County


Audrain County


Barry County


Butler County


Cape Girardeau County


Carter County


Cedar County


Lafayette County


Linn County


Mississippi County


Montgomery County


Newton County


Pettis County


Pike County


Ray County


Saline County


Texas County


Vernon County


Washington County


Wayne County


Callaway County


Howell County


Lewis County


Lincoln County


Madison County


Marion County


Morgan County


Nodaway County


Ste. Genevieve County


Sullivan County


Dade County


Dallas County


Harrison County


Laclede County


Wright County


Bollinger County


Cass County


Cooper County


Dent County


Jasper County


Lawrence County


Maries County


Miller County


Perry County


Shannon County


Bates County


Benton County


Buchanan County


Camden County


Grundy County


Hickory County


Holt County


Macon County


Monroe County


Pulaski County


Shelby County


Carroll County


Christian County


Gasconade County


Moniteau County


Oregon County


Webster County


Clark County


DeKalb County


Franklin County


Jefferson County


Phelps County


St. Clair County


Greene County


Iron County


Daviess County


Polk County


St. Louis County


Boone County


Howard County


Douglas County


Ozark County


St. Charles County


Stone County


Taney County


Warren County


Cole County


Platte County


Clay County


Reynolds County


Jackson County


St. Louis City


Barton County


Scott County




Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 10:13 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.


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.