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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 Count

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


St. Louis County


Jackson County


St. Charles County


St. Louis City


Jefferson County


Greene County


Clay County


Jasper County


Franklin County


St. Francois County


Cass County


Boone County


Buchanan County


Butler County


Camden County


Cape Girardeau County


Christian County


Platte County


Newton County


Cole County


Howell County


Taney County


Lincoln County


Dunklin County


Scott County


Callaway County


Laclede County


Stoddard County


Stone County


Benton County


Pettis County


Lawrence County


Crawford County


Phelps County


Barry County


Johnson County


Lafayette County


Audrain County


Warren County


Webster County


Texas County


Morgan County


Washington County


Henry County


Miller County


Randolph County


Ray County


Polk County


Pulaski County


Marion County


Pemiscot County


New Madrid County


Clinton County


Saline County


McDonald County


Ripley County


Macon County


Wayne County


Madison County


Vernon County


Dent County


Dallas County


Montgomery County


Adair County


Gasconade County


Livingston County


Wright County


Bates County


Mississippi County


Cedar County


Perry County


Douglas County


Hickory County


Andrew County


Ste. Genevieve County


Pike County


Bollinger County


Cooper County


Iron County


Nodaway County


Oregon County


Ozark County


DeKalb County


Linn County


St. Clair County


Moniteau County


Monroe County


Shannon County


Ralls County


Harrison County


Caldwell County


Chariton County


Carroll County


Osage County


Dade County


Barton County


Maries County


Daviess County


Howard County


Reynolds County


Clark County


Lewis County


Carter County


Grundy County


Mercer County


Shelby County


Sullivan County


Gentry County


Holt County


Schuyler County


Scotland County


Atchison County Knox County Putnam County Worth County

Notes:
Created by statecancerprofiles.cancer.gov on 05/26/2022 6:24 am.

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.