Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Missouri by County

Pancreas, 2016-2020

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

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of *** 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


United States

Stoddard County

Pulaski County

Cape Girardeau County

Camden County

Audrain County

Howell County

Franklin County

Cass County

Lincoln County

Saline County

Polk County

Washington County

Platte County

Miller County

Barry County

Taney County

Newton County

Cole County

Phelps County

Lawrence County

Webster County

Henry County

Buchanan County

St. Charles County

Greene County

Jasper County

Christian County

Laclede County

St. Louis County

Ray County

Scott County

Morgan County

Jefferson County

Stone County

Jackson County

St. Louis City

Clay County

Boone County

Butler County

Marion County

Wright County

Andrew County

Crawford County

Johnson County

St. Francois County

Callaway County

Dallas County

Adair County

Lafayette County

Warren County

Benton County

Pettis County

Cedar County

Perry County

Ste. Genevieve County

Dunklin County

Hickory County

Macon County

Montgomery County

Atchison County Barton County Bates 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 Schuyler County Scotland County Shannon County Shelby County St. Clair County Sullivan County Texas County Vernon County Wayne County Worth County

Created by on 03/22/2023 5:09 am.

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

*** No Healthy People 2030 Objective for this cancer.
Healthy People 2030 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.