Return to Home Mortality > Table

Rate/Trend Comparison by Cancer Table

Data Options
Death Rate/Trend Comparison by Cancer, 2019-2023

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
Calhoun County
Crawford County
De Witt County
Edgar County
Edwards County
Ford County
Fulton County
Iroquois County
Jasper County
Knox County
Lawrence County
Logan County
Macoupin County
Marion County
Massac County
Moultrie County
Pike County
Pulaski County
Shelby County
Union County
Warren County		 Priority 6: stable and similar

Brown County
Champaign County
Clark County
Cumberland County
Effingham County
Fayette County
Hamilton County
Hardin County
Jersey County
Jo Daviess County
Marshall County
McHenry County
Mercer County
Piatt County
Richland County
Schuyler County
Scott County
Stark County
Wabash County
Washington County
Woodford County		 Priority 7: stable and below

Falling
Trend		 Priority 5: falling and above

Clay County
DeKalb County
Franklin County
Grundy County
Jackson County
Jefferson County
Kankakee County
La Salle County
Macon County
Madison County
Mason County
Montgomery County
Morgan County
Peoria County
Rock Island County
Saline County
Sangamon County
St. Clair County
Stephenson County
Tazewell County
Vermilion County
White County
Whiteside County
Williamson County
Winnebago County		 Priority 8: falling and similar

Adams County
Bond County
Boone County
Bureau County
Carroll County
Cass County
Christian County
Clinton County
Coles County
Cook County
Douglas County
Gallatin County
Greene County
Hancock County
Henderson County
Henry County
Johnson County
Kane County
Kendall County
Lake County
Lee County
Livingston County
McDonough County
McLean County
Menard County
Monroe County
Ogle County
Perry County
Putnam County
Randolph County
Wayne County
Will County		 Priority 9: falling and below

DuPage County
Notes:
Created by statecancerprofiles.cancer.gov on 03/15/2026 4:55 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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
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 do not include Puerto Rico.

Return to Top