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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 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


Illinois


United States


Ford County


Scott County


Marion County


Moultrie County


Pike County


Clark County


Iroquois County


Mercer County


Union County


Brown County


Hamilton County


Logan County


Pulaski County


White County


Hardin County


Mason County


Whiteside County


Alexander County


Clay County


Fulton County


Marshall County


Morgan County


Saline County


Vermilion County


Woodford County


Crawford County


La Salle County


Lawrence County


Macoupin County


Randolph County


Schuyler County


Stephenson County


Wayne County


Bureau County


Christian County


Cumberland County


DeKalb County


Douglas County


Jefferson County


Knox County


Livingston County


Macon County


Stark County


Winnebago County


De Witt County


Edwards County


Gallatin County


Jersey County


Lee County


Ogle County


Peoria County


Cass County


Edgar County


Effingham County


Greene County


Grundy County


Henry County


Jackson County


Madison County


Massac County


McDonough County


Perry County


Sangamon County


Warren County


Coles County


Franklin County


Johnson County


Menard County


Pope County


Rock Island County


Shelby County


Tazewell County


Williamson County


Calhoun County


Fayette County


Kankakee County


Kendall County


McLean County


Montgomery County


Washington County


Bond County


Boone County


Carroll County


Clinton County


Henderson County


Jo Daviess County


Piatt County


Richland County


St. Clair County


Wabash County


Will County


Hancock County


Jasper County


Adams County


Lake County


Putnam County


DuPage County


Kane County


Monroe County


Champaign County


McHenry County


Cook County




Notes:
Created by statecancerprofiles.cancer.gov on 12/01/2022 7:53 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.



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.