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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), Male, 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


Missouri


United States


Macon County


Henry County


Camden County


Reynolds County


St. Louis City


Washington County


Daviess County


Warren County


Douglas County


Platte County


Putnam County


Howard County


St. Charles County


Pulaski County


Stone County


Carroll County


Grundy County


Iron County


Polk County


Taney County


Wright County


Clark County


Greene County


Oregon County


St. Louis County


Bollinger County


Buchanan County


Cedar County


Christian County


Clay County


Cole County


Jackson County


Jefferson County


Phelps County


Shelby County


St. Clair County


Franklin County


Gentry County


Hickory County


Lawrence County


Madison County


Saline County


Benton County


Boone County


Butler County


Jasper County


Lafayette County


Ozark County


Perry County


Shannon County


Ste. Genevieve County


Webster County


Andrew County


Clinton County


Gasconade County


Johnson County


Laclede County


Lincoln County


Maries County


Moniteau County


Montgomery County


Scott County


Texas County


Adair County


Callaway County


Cass County


Cooper County


Miller County


Newton County


Nodaway County


Cape Girardeau County


Holt County


New Madrid County


Pettis County


Schuyler County


Stoddard County


Vernon County


Bates County


Dent County


Harrison County


Howell County


Linn County


Monroe County


Morgan County


Scotland County


St. Francois County


Barry County


Dade County


DeKalb County


Livingston County


Marion County


Mississippi County


Osage County


Pike County


Ralls County


Chariton County


Lewis County


McDonald County


Randolph County


Ray County


Sullivan County


Crawford County


Dallas County


Dunklin County


Carter County


Audrain County


Pemiscot County


Wayne County


Atchison County


Knox County


Ripley County


Caldwell County


Mercer County


Barton County


Worth County

Notes:
Created by statecancerprofiles.cancer.gov on 02/25/2024 11:25 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.

* 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.

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.