Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Iowa by County

All Cancer Sites, 2018-2022

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

Sorted by Count

Explanation of Column Headers

Objective - The objective of 122.7 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


Polk County


Linn County


Scott County


Black Hawk County


Pottawattamie County


Woodbury County


Dubuque County


Johnson County


Story County


Clinton County


Dallas County


Cerro Gordo County


Des Moines County


Wapello County


Warren County


Muscatine County


Lee County


Jasper County


Webster County


Marshall County


Marion County


Boone County


Benton County


Mahaska County


Bremer County


Clayton County


Sioux County


Plymouth County


Carroll County


Jackson County


Dickinson County


Henry County


Hardin County


Washington County


Buchanan County


Fayette County


Tama County


Cedar County


Poweshiek County


Jones County


Page County


Delaware County


Iowa County


Floyd County


Winneshiek County


Cass County


Appanoose County


Jefferson County


Madison County


Kossuth County


Butler County


Buena Vista County


Allamakee County


Hamilton County


O'Brien County


Harrison County


Clay County


Cherokee County


Mills County


Chickasaw County


Union County


Palo Alto County


Grundy County


Montgomery County


Wright County


Crawford County


Mitchell County


Greene County


Emmet County


Howard County


Shelby County


Lyon County


Winnebago County


Clarke County


Louisa County


Guthrie County


Monona County


Franklin County


Keokuk County


Sac County


Hancock County


Calhoun County


Lucas County


Van Buren County


Ida County


Pocahontas County


Humboldt County


Decatur County


Davis County


Monroe County


Adair County


Fremont County


Wayne County


Worth County


Ringgold County


Osceola County


Audubon County


Taylor County


Adams County




Notes:
Created by statecancerprofiles.cancer.gov on 07/08/2025 7:07 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.

⋔ 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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.


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.

Data for United States does not include Puerto Rico.