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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 <65

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


Ozark County


Carroll County


St. Francois County


St. Louis City


Howard County


Douglas County


Oregon County


St. Charles County


Cooper County


Nodaway County


Platte County


Moniteau County


Shelby County


Daviess County


Greene County


Polk County


Andrew County


Callaway County


Clay County


Franklin County


St. Louis County


Benton County


Boone County


Jefferson County


Ste. Genevieve County


Barton County


Bates County


Butler County


Christian County


Iron County


Jasper County


Johnson County


Lawrence County


St. Clair County


Warren County


Cass County


Cole County


Jackson County


Madison County


Osage County


Shannon County


Texas County


Clinton County


Dent County


Gasconade County


Linn County


Monroe County


Pike County


Vernon County


Lincoln County


Miller County


Mississippi County


Montgomery County


Perry County


Sullivan County


Buchanan County


Camden County


Dunklin County


Hickory County


Howell County


Laclede County


Lewis County


Scott County


Stone County


Audrain County


Macon County


Phelps County


Reynolds County


Taney County


Ralls County


Randolph County


Crawford County


Marion County


Morgan County


Pulaski County


Saline County


Stoddard County


Grundy County


Henry County


Bollinger County


Dallas County


Lafayette County


Maries County


McDonald County


Caldwell County


New Madrid County


Ray County


Washington County


Cape Girardeau County


DeKalb County


Newton County


Wright County


Ripley County


Adair County


Barry County


Chariton County


Pemiscot County


Pettis County


Wayne County


Dade County


Livingston County


Atchison County


Harrison County


Webster County


Carter County


Cedar County


Gentry County


Mercer County


Schuyler County


Clark County Holt County Knox County Putnam County Scotland County Worth County

Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 3:10 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.

* 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.