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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 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


Grundy County


Howard County


Schuyler County


Clark County


Stone County


Holt County


Reynolds County


Douglas County


Cole County


Bollinger County


Platte County


Taney County


Knox County


Carroll County


Camden County


Osage County


St. Charles County


Moniteau County


Boone County


Warren County


Ste. Genevieve County


Greene County


Nodaway County


Wayne County


Polk County


Perry County


Christian County


Atchison County


Cooper County


St. Louis County


Lewis County


Cape Girardeau County


Jackson County


Gasconade County


Wright County


Harrison County


Dade County


Barton County


Dent County


Franklin County


Vernon County


Maries County


Phelps County


Henry County


Miller County


Clay County


DeKalb County


St. Clair County


Daviess County


Sullivan County


Buchanan County


Cass County


Ozark County


Saline County


Webster County


Ralls County


Pulaski County


St. Louis City


Worth County


Barry County


Gentry County


Shannon County


Scott County


Macon County


Hickory County


Texas County


Lincoln County


Oregon County


Shelby County


Johnson County


Monroe County


Cedar County


Caldwell County


Morgan County


Scotland County


Adair County


Lafayette County


Iron County


Livingston County


Andrew County


Pettis County


Chariton County


Jefferson County


Jasper County


Dallas County


Pike County


Newton County


Mercer County


Bates County


Ray County


Lawrence County


Callaway County


Clinton County


Washington County


Laclede County


Stoddard County


Howell County


Linn County


Marion County


Montgomery County


New Madrid County


Putnam County


Ripley County


Audrain County


Dunklin County


McDonald County


St. Francois County


Crawford County


Carter County


Butler County


Madison County


Randolph County


Mississippi County


Benton County


Pemiscot County




Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2024 5:56 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.