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Interpretation of Death Rates Data

Death Rate Report for Illinois by County

All Cancer Sites, 2016-2020

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

Sorted by Rate

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

Mason County

Gallatin County

Pulaski County

Hardin County

Marion County

Ford County

Alexander County

Saline County

Scott County

Brown County

Fulton County

Iroquois County

Lawrence County

Vermilion County

Logan County

Pike County

La Salle County

Mercer County

Marshall County

Christian County

Cass County

Kankakee County

De Witt County

Macoupin County

Clay County

White County

Lee County

Morgan County

Livingston County

Franklin County

Grundy County

Montgomery County

Union County

Hamilton County

Jefferson County

Crawford County

Knox County

Macon County

Moultrie County

Williamson County

Ogle County

Greene County

Warren County

Peoria County

Douglas County

Winnebago County

Randolph County

Massac County

Bureau County

Madison County

St. Clair County

Stark County

DeKalb County

Whiteside County

Jersey County

Clark County

Edgar County

Fayette County

Perry County

Rock Island County

Stephenson County

McDonough County

Sangamon County

Tazewell County

Bond County

Woodford County

Richland County

Johnson County

Carroll County

Piatt County

Will County

Wayne County

Wabash County

Pope County

Adams County

Menard County

Cumberland County

McHenry County

Schuyler County

Henry County

Jackson County

Cook County

Edwards County

McLean County

Coles County

Kendall County

Henderson County

Calhoun County

Lake County

Jo Daviess County

Clinton County

Effingham County

Boone County

Putnam County

Shelby County

Hancock County

Washington County

Kane County

Champaign County

DuPage County

Jasper County

Monroe County

Created by on 12/06/2023 11:49 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.

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

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.