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Interpretation of Death Rates Data

Death Rate Report for Missouri by County

Cervix, 2014-2018

All Races (includes Hispanic), Female, All Ages

Sorted by Name

Explanation of Column Headers

Objective - The objective of 0.0 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


Adair County


Andrew County


Atchison County


Audrain County


Barry County


Barton County


Bates County


Benton County


Bollinger County


Boone County


Buchanan County


Butler County


Caldwell County


Callaway County


Camden County


Cape Girardeau County


Carroll County


Carter County


Cass County


Cedar County


Chariton County


Christian County


Clark County


Clay County


Clinton County


Cole County


Cooper County


Crawford County


Dade County


Dallas County


Daviess County


DeKalb County


Dent County


Douglas County


Dunklin County


Franklin County


Gasconade County


Gentry County


Greene County


Grundy County


Harrison County


Henry County


Hickory County


Holt County


Howard County


Howell County


Iron County


Jackson County


Jasper County


Jefferson County


Johnson County


Knox County


Laclede County


Lafayette County


Lawrence County


Lewis County


Lincoln County


Linn County


Livingston County


Macon County


Madison County


Maries County


Marion County


McDonald County


Mercer County


Miller County


Mississippi County


Moniteau County


Monroe County


Montgomery County


Morgan County


New Madrid County


Newton County


Nodaway County


Oregon County


Osage County


Ozark County


Pemiscot County


Perry County


Pettis County


Phelps County


Pike County


Platte County


Polk County


Pulaski County


Putnam County


Ralls County


Randolph County


Ray County


Reynolds County


Ripley County


Saline County


Schuyler County


Scotland County


Scott County


Shannon County


Shelby County


St. Charles County


St. Clair County


St. Francois County


St. Louis City


St. Louis County


Ste. Genevieve County


Stoddard County


Stone County


Sullivan County


Taney County


Texas County


Vernon County


Warren County


Washington County


Wayne County


Webster County


Worth County


Wright County




Notes:
Created by statecancerprofiles.cancer.gov on 10/26/2020 1:01 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 2020 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 1969-2017 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 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.

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.