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Rate/Trend Comparison by Cancer Table

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Death Rate/Trend Comparison by Cancer, 2019-2023

Illinois Counties versus United States

Lung & Bronchus

All Races, Both Sexes
  Above US Rate Similar to US Rate Below US Rate
Rising
Trend		 Priority 1: rising and above

Mercer County		 Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend		 Priority 4: stable and above

Alexander County
Clark County
Clay County
De Witt County
Douglas County
Edwards County
Fayette County
Ford County
Fulton County
Greene County
Iroquois County
Jackson County
Jefferson County
Jersey County
Lawrence County
Lee County
Logan County
Marion County
Mason County
Massac County
McDonough County
Montgomery County
Pike County
Randolph County
Richland County
Shelby County
Union County
Vermilion County
Warren County
Williamson County		 Priority 6: stable and similar

Cumberland County
Hamilton County
Hardin County
Jasper County
Johnson County
Marshall County
McHenry County
Menard County
Monroe County
Pulaski County
Putnam County
Schuyler County
Washington County
Woodford County		 Priority 7: stable and below

Falling
Trend		 Priority 5: falling and above

Adams County
Bureau County
Christian County
Coles County
Crawford County
DeKalb County
Edgar County
Effingham County
Franklin County
Grundy County
Henry County
Kankakee County
Knox County
La Salle County
Macon County
Macoupin County
Madison County
Morgan County
Ogle County
Peoria County
Perry County
Rock Island County
Saline County
Sangamon County
St. Clair County
Tazewell County
Wayne County
White County
Whiteside County
Will County
Winnebago County		 Priority 8: falling and similar

Bond County
Boone County
Carroll County
Cass County
Champaign County
Clinton County
Cook County
Gallatin County
Hancock County
Henderson County
Jo Daviess County
Kendall County
Livingston County
McLean County
Moultrie County
Piatt County
Stark County
Stephenson County
Wabash County		 Priority 9: falling and below

DuPage County
Kane County
Lake County
Notes:
Created by statecancerprofiles.cancer.gov on 03/11/2026 3:00 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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Brown County, Calhoun County, Pope County

Trend for the following could not be reliably determined due to small number of deaths per year:
Scott 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.

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