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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, All Ages

Sorted by CI*Rank

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


St. Francois County


Dunklin County


Randolph County


Crawford County


Mississippi County


Benton County


Madison County


McDonald County


New Madrid County


Ripley County


Mercer County


Butler County


Montgomery County


Stoddard County


Washington County


Carter County


Audrain County


Laclede County


Pettis County


Chariton County


DeKalb County


Morgan County


Howell County


Linn County


Dallas County


Hickory County


Marion County


Caldwell County


Ray County


Livingston County


Putnam County


Newton County


Macon County


Bates County


Wayne County


Jasper County


Worth County


Iron County


Callaway County


Adair County


Lawrence County


Shannon County


Monroe County


Clinton County


Wright County


Jefferson County


Pike County


Pulaski County


Knox County


Atchison County


St. Louis City


Scotland County


Webster County


Lafayette County


Saline County


Barry County


Phelps County


Gentry County


Lincoln County


Bollinger County


Henry County


Buchanan County


Scott County


Andrew County


Texas County


Cedar County


Dent County


Ozark County


St. Clair County


Vernon County


Gasconade County


Barton County


Dade County


Shelby County


Ralls County


Maries County


Cape Girardeau County


Sullivan County


Oregon County


Johnson County


Schuyler County


Jackson County


Franklin County


Cass County


Harrison County


Holt County


Cooper County


Perry County


Miller County


Clay County


Polk County


Reynolds County


Greene County


St. Louis County


Daviess County


Ste. Genevieve County


Christian County


Lewis County


Nodaway County


Stone County


Moniteau County


Taney County


Warren County


Cole County


Camden County


Osage County


Boone County


St. Charles County


Howard County


Douglas County


Grundy County


Platte County


Carroll County


Clark County




Notes:
Created by statecancerprofiles.cancer.gov on 01/29/2023 11:41 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.



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.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

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.