Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Missouri by County

Pancreas, 2015-2019

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by CI*Rank

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


Montgomery County


Pettis County


Cedar County


Ste. Genevieve County


Warren County


Macon County


Wayne County


Benton County


Callaway County


Bates County


Dallas County


Lafayette County


Hickory County


Ray County


Andrew County


Adair County


Scott County


Perry County


Dunklin County


Crawford County


Henry County


St. Francois County


Jasper County


Jackson County


Clay County


Butler County


St. Louis City


Marion County


Johnson County


St. Louis County


Taney County


Barry County


St. Charles County


Greene County


Boone County


Jefferson County


Washington County


Platte County


Franklin County


Morgan County


Stone County


Webster County


Christian County


Phelps County


Laclede County


Newton County


Cole County


Lawrence County


Lincoln County


Buchanan County


Pulaski County


Cass County


Howell County


Miller County


Camden County


Stoddard County


Polk County


Cape Girardeau County


Atchison County Audrain County Barton County Bollinger County Caldwell County Carroll County Carter County Chariton County Clark County Clinton County Cooper County Dade County Daviess County DeKalb County Dent County Douglas County Gasconade County Gentry County Grundy County Harrison 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 New Madrid County Nodaway County Oregon County Osage County Ozark County Pemiscot County Pike County Putnam County Ralls County Randolph County Reynolds County Ripley County Saline County Schuyler County Scotland County Shannon County Shelby County St. Clair County Sullivan County Texas County Vernon County Worth County Wright County

Notes:
Created by statecancerprofiles.cancer.gov on 05/18/2022 10:56 pm.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Atchison, Audrain, Barton, Bollinger, Caldwell, Carroll, Carter, Chariton, Clark, Clinton, Cooper, Dade, Daviess, DeKalb, Dent, Douglas, Gasconade, Gentry, Grundy, Harrison, Holt, Howard, Iron, Knox, Lewis, Linn, Livingston, Madison, Maries, McDonald, Mercer, Mississippi, Moniteau, Monroe, New Madrid, Nodaway, Oregon, Osage, Ozark, Pemiscot, Pike, Putnam, Ralls, Randolph, Reynolds, Ripley, Saline, Schuyler, Scotland, Shannon, Shelby, St. Clair, Sullivan, Texas, Vernon, Worth, Wright

† 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 1969-2018 US Population Data File is used with mortality data.
⋔ 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.

* 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).


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.