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Interpretation of Death Rates Data

Death Rate Report for Iowa by County

Lung & Bronchus, 2016-2020

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

Sorted by Name

Explanation of Column Headers

Objective - The objective of 25.1 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


Iowa


United States


Adair County


Allamakee County


Appanoose County


Benton County


Black Hawk County


Boone County


Bremer County


Buchanan County


Buena Vista County


Butler County


Calhoun County


Carroll County


Cass County


Cedar County


Cerro Gordo County


Cherokee County


Chickasaw County


Clarke County


Clay County


Clayton County


Clinton County


Crawford County


Dallas County


Davis County


Decatur County


Delaware County


Des Moines County


Dickinson County


Dubuque County


Emmet County


Fayette County


Floyd County


Franklin County


Fremont County


Greene County


Grundy County


Guthrie County


Hamilton County


Hancock County


Hardin County


Harrison County


Henry County


Howard County


Humboldt County


Ida County


Iowa County


Jackson County


Jasper County


Jefferson County


Johnson County


Jones County


Keokuk County


Kossuth County


Lee County


Linn County


Louisa County


Lucas County


Lyon County


Madison County


Mahaska County


Marion County


Marshall County


Mills County


Mitchell County


Monona County


Monroe County


Montgomery County


Muscatine County


O'Brien County


Osceola County


Page County


Palo Alto County


Plymouth County


Pocahontas County


Polk County


Pottawattamie County


Poweshiek County


Ringgold County


Sac County


Scott County


Shelby County


Sioux County


Story County


Tama County


Union County


Van Buren County


Wapello County


Warren County


Washington County


Wayne County


Webster County


Winnebago County


Winneshiek County


Woodbury County


Worth County


Wright County


Adams County Audubon County Taylor County

Notes:
Created by statecancerprofiles.cancer.gov on 12/04/2022 7:26 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 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.
* 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.