Return to Home Mortality > Table > Interpret

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


Pemiscot County


Benton County


Mississippi County


Randolph County


Madison County


Butler County


Carter County


Crawford County


St. Francois County


McDonald County


Dunklin County


Audrain County


Ripley County


Putnam County


New Madrid County


Montgomery County


Marion County


Linn County


Howell County


Stoddard County


Laclede County


Washington County


Clinton County


Callaway County


Lawrence County


Ray County


Bates County


Mercer County


Newton County


Pike County


Dallas County


Jasper County


Jefferson County


Chariton County


Pettis County


Andrew County


Livingston County


Iron County


Lafayette County


Adair County


Scotland County


Morgan County


Caldwell County


Cedar County


Monroe County


Johnson County


Shelby County


Oregon County


Lincoln County


Texas County


Hickory County


Macon County


Scott County


Shannon County


Gentry County


Barry County


Worth County


St. Louis City


Pulaski County


Ralls County


Webster County


Saline County


Ozark County


Cass County


Buchanan County


Sullivan County


Daviess County


St. Clair County


DeKalb County


Clay County


Miller County


Henry County


Phelps County


Maries County


Vernon County


Franklin County


Dent County


Barton County


Dade County


Harrison County


Wright County


Gasconade County


Jackson County


Cape Girardeau County


Lewis County


St. Louis County


Cooper County


Atchison County


Christian County


Perry County


Polk County


Wayne County


Nodaway County


Greene County


Ste. Genevieve County


Warren County


Boone County


Moniteau County


St. Charles County


Osage County


Camden County


Carroll County


Knox County


Taney County


Platte County


Bollinger County


Cole County


Douglas County


Reynolds County


Holt County


Stone County


Clark County


Schuyler County


Howard County


Grundy County




Notes:
Created by statecancerprofiles.cancer.gov on 06/20/2024 2:34 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.