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Interpretation of Death Rates Data

Death Rate Report for Illinois by County

Esophagus, 2015-2019

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

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 0.0 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


Marion County


Morgan County


Franklin County


Jefferson County


Williamson County


Stephenson County


Knox County


Whiteside County


Bureau County


Woodford County


Rock Island County


Ogle County


Winnebago County


DeKalb County


Adams County


Peoria County


La Salle County


Madison County


St. Clair County


Jackson County


Macon County


Tazewell County


McHenry County


Kane County


Will County


Kendall County


McLean County


Lake County


Sangamon County


DuPage County


Vermilion County


Kankakee County


Cook County


Champaign County


Alexander County Bond County Boone County Brown County Calhoun County Carroll County Cass County Christian County Clark County Clay County Clinton County Coles County Crawford County Cumberland County De Witt County Douglas County Edgar County Edwards County Effingham County Fayette County Ford County Fulton County Gallatin County Greene County Grundy County Hamilton County Hancock County Hardin County Henderson County Henry County Iroquois County Jasper County Jersey County Jo Daviess County Johnson County Lawrence County Lee County Livingston County Logan County Macoupin County Marshall County Mason County Massac County McDonough County Menard County Mercer County Monroe County Montgomery County Moultrie County Perry County Piatt County Pike County Pope County Pulaski County Putnam County Randolph County Richland County Saline County Schuyler County Scott County Shelby County Stark County Union County Wabash County Warren County Washington County Wayne County White County

Notes:
Created by statecancerprofiles.cancer.gov on 07/05/2022 3:09 pm.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Alexander, Bond, Boone, Brown, Calhoun, Carroll, Cass, Christian, Clark, Clay, Clinton, Coles, Crawford, Cumberland, De Witt, Douglas, Edgar, Edwards, Effingham, Fayette, Ford, Fulton, Gallatin, Greene, Grundy, Hamilton, Hancock, Hardin, Henderson, Henry, Iroquois, Jasper, Jersey, Jo Daviess, Johnson, Lawrence, Lee, Livingston, Logan, Macoupin, Marshall, Mason, Massac, McDonough, Menard, Mercer, Monroe, Montgomery, Moultrie, Perry, Piatt, Pike, Pope, Pulaski, Putnam, Randolph, Richland, Saline, Schuyler, Scott, Shelby, Stark, Union, Wabash, Warren, Washington, Wayne, White

† 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 2020 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 1969-2018 US Population Data File is used with mortality data.
* 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).


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.