Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Missouri by County

Lung & Bronchus, 2015-2019

All Races (includes Hispanic), Both Sexes, 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


Wright County


Webster County


Wayne County


Washington County


Warren County


Vernon County


Texas County


Taney County


Sullivan County


Stone County


Stoddard County


Ste. Genevieve County


St. Louis County


St. Louis City


St. Francois County


St. Clair County


St. Charles County


Shelby County


Shannon County


Scott County


Scotland County


Schuyler County


Saline County


Ripley County


Reynolds County


Ray County


Randolph County


Ralls County


Pulaski County


Polk County


Platte County


Pike County


Phelps County


Pettis County


Perry County


Pemiscot County


Ozark County


Osage County


Oregon County


Nodaway County


Newton County


New Madrid County


Morgan County


Montgomery County


Monroe County


Moniteau County


Mississippi County


Miller County


Mercer County


McDonald County


Marion County


Maries County


Madison County


Macon County


Livingston County


Linn County


Lincoln County


Lewis County


Lawrence County


Lafayette County


Laclede County


Johnson County


Jefferson County


Jasper County


Jackson County


Iron County


Howell County


Howard County


Holt County


Hickory County


Henry County


Harrison County


Grundy County


Greene County


Gentry County


Gasconade County


Franklin County


Dunklin County


Douglas County


Dent County


DeKalb County


Daviess County


Dallas County


Dade County


Crawford County


Cooper County


Cole County


Clinton County


Clay County


Clark County


Christian County


Chariton County


Cedar County


Cass County


Carter County


Carroll County


Cape Girardeau County


Camden County


Callaway County


Caldwell County


Butler County


Buchanan County


Boone County


Bollinger County


Benton County


Bates County


Barton County


Barry County


Audrain County


Andrew County


Adair County


Atchison County Knox County Putnam County Worth County

Notes:
Created by statecancerprofiles.cancer.gov on 05/21/2022 2:20 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 1969-2018 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.