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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), Male, All Ages

Sorted by Name

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


Illinois


United States


Adams County


Alexander County


Bond County


Boone County


Brown County


Bureau County


Calhoun County


Carroll County


Cass County


Champaign County


Christian County


Clark County


Clay County


Clinton County


Coles County


Cook County


Crawford County


Cumberland County


De Witt County


DeKalb County


Douglas County


DuPage County


Edgar County


Edwards County


Effingham County


Fayette County


Ford County


Franklin County


Fulton County


Gallatin County


Greene County


Grundy County


Hamilton County


Hancock County


Hardin County


Henderson County


Henry County


Iroquois County


Jackson County


Jasper County


Jefferson County


Jersey County


Jo Daviess County


Johnson County


Kane County


Kankakee County


Kendall County


Knox County


La Salle County


Lake County


Lawrence County


Lee County


Livingston County


Logan County


Macon County


Macoupin County


Madison County


Marion County


Marshall County


Mason County


Massac County


McDonough County


McHenry County


McLean County


Menard County


Mercer County


Monroe County


Montgomery County


Morgan County


Moultrie County


Ogle County


Peoria County


Perry County


Piatt County


Pike County


Pope County


Pulaski County


Putnam County


Randolph County


Richland County


Rock Island County


Saline County


Sangamon County


Schuyler County


Scott County


Shelby County


St. Clair County


Stark County


Stephenson County


Tazewell County


Union County


Vermilion County


Wabash County


Warren County


Washington County


Wayne County


White County


Whiteside County


Will County


Williamson County


Winnebago County


Woodford County




Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 2:36 pm.

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.

* 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.
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.