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Interpretation of Death Rates Data

Death Rate Report for Iowa by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Recentaapc

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


United States

Dubuque County

Taylor County

Johnson County

Cass County

Dallas County

Polk County

Wright County

Marshall County

Humboldt County

Cerro Gordo County

Hamilton County

Jones County

Kossuth County

Winneshiek County

Benton County

Black Hawk County

Harrison County

Linn County

Madison County

Sioux County

Bremer County

Butler County

Clayton County

Crawford County

Fayette County

Fremont County

Lee County

Mitchell County

Worth County

Buchanan County

Dickinson County

Hancock County

Jackson County

Jasper County

Jefferson County

Lyon County

Monona County

Scott County

Story County

Allamakee County

Buena Vista County

Cedar County

Clinton County

Hardin County

Keokuk County

Louisa County

Plymouth County

Adams County

Chickasaw County

Delaware County

Des Moines County

Floyd County

Henry County

O'Brien County

Pottawattamie County

Union County

Webster County

Audubon County

Mills County

Muscatine County

Pocahontas County

Poweshiek County

Wapello County

Warren County

Carroll County

Lucas County

Page County

Woodbury County

Clay County

Franklin County

Iowa County

Palo Alto County

Boone County

Calhoun County

Guthrie County

Howard County

Montgomery County

Osceola County

Sac County

Tama County

Wayne County

Winnebago County

Cherokee County

Davis County

Washington County

Emmet County

Grundy County

Shelby County

Adair County

Decatur County

Mahaska County

Clarke County

Greene County

Marion County

Appanoose County

Ida County

Monroe County

Van Buren County

Ringgold County

Created by on 06/10/2023 10:10 pm.

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.

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.