Return to Home Mortality > Table > Interpret

Interpretation of Death Rates Data

Death Rate Report for Iowa by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 65+

Sorted by CI*Rank

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

Van Buren County

Ida County

Ringgold County

Monroe County

Mahaska County

Worth County

Marion County

Palo Alto County

Wayne County

Montgomery County

Emmet County

Boone County

Woodbury County

Appanoose County

Wapello County

Cass County

Greene County

Pottawattamie County

Lee County

Grundy County

Benton County

Pocahontas County

Webster County

Howard County

Carroll County

Mills County

Polk County

Buchanan County

Monona County

Cherokee County

Black Hawk County

Poweshiek County

Chickasaw County

Harrison County

Calhoun County

Clinton County

Delaware County

Hardin County

Des Moines County

Iowa County

Adair County

Washington County

Scott County

Decatur County

Cedar County

Guthrie County

Lyon County

Jasper County

Muscatine County

Marshall County

Henry County

Linn County

Jackson County

Clarke County

Madison County

Lucas County

Tama County

Mitchell County

Floyd County

Union County

Clayton County

Cerro Gordo County

Bremer County

Dubuque County

Osceola County

Shelby County

Buena Vista County

Adams County

Warren County

O'Brien County

Fremont County

Butler County

Hancock County

Keokuk County

Winnebago County

Plymouth County

Sac County

Story County

Hamilton County

Crawford County

Fayette County

Page County

Dickinson County

Jefferson County

Jones County

Humboldt County

Allamakee County

Clay County

Dallas County

Wright County

Davis County

Louisa County

Taylor County

Johnson County

Sioux County

Franklin County

Winneshiek County

Audubon County

Kossuth County

Created by on 12/08/2023 1:29 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.