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Rate/Trend Comparison by Cancer Table

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Death Rate/Trend Comparison by Cancer, 2016-2020

Illinois Counties versus United States

All Cancer Sites

All Races, Male

  Above US Rate Similar to US Rate Below US Rate
Rising
Trend
Priority 1: rising and above

Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend
Priority 4: stable and above

Alexander County
Clark County
Ford County
Fulton County
Hamilton County
Hardin County
Iroquois County
Logan County
Marion County
Marshall County
Mason County
Morgan County
Moultrie County
Pike County
Priority 6: stable and similar

Bond County
Brown County
Calhoun County
Edwards County
Pulaski County
Schuyler County
Scott County
Stark County
Priority 7: stable and below

Falling
Trend
Priority 5: falling and above

Bureau County
Cass County
Christian County
Franklin County
Grundy County
Jefferson County
Kankakee County
Knox County
La Salle County
Lawrence County
Lee County
Macon County
Macoupin County
Madison County
Mercer County
Montgomery County
Peoria County
Saline County
St. Clair County
Stephenson County
Vermilion County
Warren County
Williamson County
Winnebago County
Priority 8: falling and similar

Adams County
Boone County
Carroll County
Champaign County
Clay County
Clinton County
Coles County
Cook County
Crawford County
Cumberland County
De Witt County
DeKalb County
Douglas County
Edgar County
Effingham County
Fayette County
Gallatin County
Greene County
Hancock County
Henry County
Jackson County
Jasper County
Jersey County
Jo Daviess County
Johnson County
Kane County
Kendall County
Lake County
Livingston County
Massac County
McDonough County
McHenry County
McLean County
Menard County
Ogle County
Perry County
Piatt County
Putnam County
Randolph County
Richland County
Rock Island County
Sangamon County
Shelby County
Tazewell County
Union County
Wabash County
Washington County
Wayne County
White County
Whiteside County
Will County
Woodford County
Priority 9: falling and below

DuPage County
Henderson County
Monroe County
Notes:
Created by statecancerprofiles.cancer.gov on 04/18/2024 8:44 pm.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).
Trend for the following could not be reliably determined due to small number of deaths per year:
Pope County


Interpret Rankings provides insight into interpreting cancer 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.

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