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Interpretation of Death Rates Data

Death Rate Report for Missouri by County

Breast, 2018-2022

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 15.3 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


Stone County


Johnson County


Cole County


Camden County


Greene County


Christian County


Platte County


St. Charles County


Clay County


Barry County


Miller County


Laclede County


Cape Girardeau County


Webster County


Polk County


Benton County


Lincoln County


Howell County


Marion County


Dunklin County


Boone County


Taney County


Ray County


Pettis County


Jefferson County


Pulaski County


St. Louis County


Butler County


Phelps County


Buchanan County


Jasper County


Jackson County


Cass County


Macon County


St. Louis City


Perry County


Warren County


Franklin County


St. Francois County


Callaway County


Newton County


Morgan County


Scott County


Randolph County


New Madrid County


Crawford County


Pike County


Stoddard County


Lafayette County


Wright County


Lawrence County


Dent County


Pemiscot County


Adair County Andrew County Atchison County Audrain County Barton County Bates County Bollinger County Caldwell County Carroll County Carter County Cedar County Chariton County Clark County Clinton County Cooper County Dade County Dallas County Daviess County DeKalb County Douglas County Gasconade County Gentry County Grundy County Harrison County Henry County Hickory County Holt County Howard County Iron County Knox County Lewis County Linn County Livingston County Madison County Maries County McDonald County Mercer County Mississippi County Moniteau County Monroe County Montgomery County Nodaway County Oregon County Osage County Ozark County Putnam County Ralls County Reynolds County Ripley County Saline County Schuyler County Scotland County Shannon County Shelby County St. Clair County Ste. Genevieve County Sullivan County Texas County Vernon County Washington County Wayne County Worth County

Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2024 12:56 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.

Φ Rural-Urban Continuum Codes provided by the USDA.

* 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.