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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

Illinois Counties versus United States

Prostate

All Races, Male

Sorted by priority index

Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index ascending 		Recent Trend2
 County Death
Rate
Compared
to
US Rate
 Average Annual Count
sort by count descending 		Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		Rate
Ratio3
County
to
US
sort by rate descending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend descending
United States - falling - 32,830 19.2 (19.1, 19.3) - -0.6 (-0.9, -0.2)
Illinois - falling - 1,225 19.0 (18.6, 19.5) - -1.3 (-1.9, -0.2)
Kankakee County 9 falling lower 9 14.5 (10.6, 19.6) 0.8 -3.6 (-6.5, -0.9)
Lake County 9 falling lower 52 15.8 (13.9, 17.9) 0.8 -2.0 (-3.2, -0.7)
Ogle County 9 falling lower 4 13.4 (8.3, 20.7) 0.7 -2.5 (-4.5, -0.4)
Bureau County 8 falling similar 3 14.3 (8.3, 23.6) 0.7 -3.8 (-7.7, -0.5)
Coles County 8 falling similar 4 17.1 (10.6, 26.2) 0.9 -2.6 (-4.8, -0.4)
Cook County 8 falling similar 503 20.5 (19.7, 21.3) 1.1 -2.5 (-2.9, -2.2)
DeKalb County 8 falling similar 7 17.2 (11.9, 24.0) 0.9 -3.3 (-5.4, -1.3)
Henry County 8 falling similar 6 17.9 (12.0, 25.9) 0.9 -3.0 (-5.4, -0.8)
Kane County 8 falling similar 42 18.2 (15.7, 20.9) 0.9 -2.5 (-4.1, -0.9)
Knox County 8 falling similar 5 14.5 (9.4, 21.7) 0.8 -2.4 (-4.7, -0.3)
Lee County 8 falling similar 4 17.8 (10.8, 27.9) 0.9 -3.1 (-5.5, -0.9)
Macon County 8 falling similar 12 17.8 (13.5, 23.2) 0.9 -3.5 (-5.9, -1.4)
Madison County 8 falling similar 26 18.3 (15.2, 21.8) 1.0 -1.8 (-3.3, -0.3)
Marion County 8 falling similar 3 15.4 (8.9, 24.9) 0.8 -3.1 (-6.1, -0.5)
McHenry County 8 falling similar 31 20.7 (17.4, 24.4) 1.1 -2.2 (-3.6, -0.5)
St. Clair County 8 falling similar 27 21.4 (17.8, 25.5) 1.1 -2.4 (-3.5, -1.2)
Tazewell County 8 falling similar 13 16.2 (12.5, 20.8) 0.8 -2.8 (-5.0, -0.8)
Vermilion County 8 falling similar 8 17.5 (12.6, 24.0) 0.9 -3.1 (-5.4, -1.2)
Will County 8 falling similar 50 17.4 (15.2, 19.8) 0.9 -2.4 (-3.4, -1.2)
Williamson County 8 falling similar 7 16.4 (11.3, 23.2) 0.9 -2.8 (-4.3, -1.2)
Adams County 6 stable similar 8 16.2 (11.4, 22.5) 0.8 -1.0 (-4.1, 2.0)
Champaign County 6 stable similar 16 17.9 (14.1, 22.5) 0.9 5.1 (-0.9, 23.5)
DuPage County 6 stable similar 81 17.9 (16.2, 19.8) 0.9 0.7 (-1.8, 7.4)
Franklin County 6 stable similar 6 24.9 (16.6, 36.2) 1.3 -0.2 (-4.0, 15.2)
Fulton County 6 stable similar 4 19.5 (12.0, 30.4) 1.0 -1.8 (-5.4, 1.3)
Iroquois County 6 stable similar 3 17.6 (10.2, 29.1) 0.9 -1.4 (-4.0, 1.1)
Jackson County 6 stable similar 5 17.4 (11.0, 26.2) 0.9 -3.0 (-6.3, 0.0)
Jefferson County 6 stable similar 6 26.1 (17.2, 38.2) 1.4 -0.4 (-3.2, 2.4)
Kendall County 6 stable similar 8 20.5 (14.3, 28.1) 1.1 -1.5 (-3.6, 1.0)
La Salle County 6 stable similar 12 17.5 (13.3, 22.8) 0.9 -1.4 (-3.5, 0.5)
Livingston County 6 stable similar 4 17.7 (10.7, 27.7) 0.9 -1.8 (-5.4, 1.4)
Macoupin County 6 stable similar 4 13.3 (8.0, 21.2) 0.7 -1.5 (-5.3, 1.9)
McDonough County 6 stable similar 4 24.4 (14.2, 39.3) 1.3 -1.9 (-6.4, 2.2)
McLean County 6 stable similar 16 21.5 (16.9, 26.9) 1.1 -1.6 (-3.8, 0.7)
Peoria County 6 stable similar 21 21.4 (17.5, 26.0) 1.1 14.3 (-1.8, 27.6)
Rock Island County 6 stable similar 20 22.7 (18.4, 27.8) 1.2 -0.6 (-2.2, 1.1)
Sangamon County 6 stable similar 18 17.1 (13.6, 21.1) 0.9 -0.2 (-2.6, 8.2)
Whiteside County 6 stable similar 8 22.8 (16.3, 31.3) 1.2 3.8 (-12.0, 27.9)
Winnebago County 5 falling higher 35 22.9 (19.6, 26.6) 1.2 -1.4 (-2.5, -0.3)
Stephenson County 4 stable higher 10 28.8 (21.3, 38.7) 1.5 0.8 (-1.8, 3.8)
Boone County
**
 		** similar 4 17.1 (10.3, 26.6) 0.9
**
Clinton County
**
 		** similar 4 18.4 (11.2, 28.8) 1.0
**
Grundy County
**
 		** similar 4 17.9 (10.8, 27.7) 0.9
**
Jersey County
**
 		** similar 3 26.1 (15.0, 42.8) 1.4
**
Jo Daviess County
**
 		** similar 4 18.8 (11.1, 31.5) 1.0
**
Logan County
**
 		** similar 3 18.4 (10.4, 30.5) 1.0
**
Monroe County
**
 		** similar 4 16.5 (9.5, 26.8) 0.9
**
Montgomery County
**
 		** similar 4 21.5 (13.1, 33.8) 1.1
**
Woodford County
**
 		** similar 3 13.9 (7.8, 22.9) 0.7
**
Alexander County
**
 		**
*
3 or fewer
*
*
**
Bond County
**
 		**
*
3 or fewer
*
*
**
Brown County
**
 		**
*
3 or fewer
*
*
**
Calhoun County
**
 		**
*
3 or fewer
*
*
**
Carroll County
**
 		**
*
3 or fewer
*
*
**
Cass County
**
 		**
*
3 or fewer
*
*
**
Christian County
**
 		**
*
3 or fewer
*
*
**
Clark County
**
 		**
*
3 or fewer
*
*
**
Clay County
**
 		**
*
3 or fewer
*
*
**
Crawford County
**
 		**
*
3 or fewer
*
*
**
Cumberland County
**
 		**
*
3 or fewer
*
*
**
De Witt County
**
 		**
*
3 or fewer
*
*
**
Douglas County
**
 		**
*
3 or fewer
*
*
**
Edgar County
**
 		**
*
3 or fewer
*
*
**
Edwards County
**
 		**
*
3 or fewer
*
*
**
Effingham County
**
 		**
*
3 or fewer
*
*
**
Fayette County
**
 		**
*
3 or fewer
*
*
**
Ford County
**
 		**
*
3 or fewer
*
*
**
Gallatin County
**
 		**
*
3 or fewer
*
*
**
Greene County
**
 		**
*
3 or fewer
*
*
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Hancock County
**
 		**
*
3 or fewer
*
*
**
Hardin County
**
 		**
*
3 or fewer
*
*
**
Henderson County
**
 		**
*
3 or fewer
*
*
**
Jasper County
**
 		**
*
3 or fewer
*
*
**
Johnson County
**
 		**
*
3 or fewer
*
*
**
Lawrence County
**
 		**
*
3 or fewer
*
*
**
Marshall County
**
 		**
*
3 or fewer
*
*
**
Mason County
**
 		**
*
3 or fewer
*
*
**
Massac County
**
 		**
*
3 or fewer
*
*
**
Menard County
**
 		**
*
3 or fewer
*
*
**
Mercer County
**
 		**
*
3 or fewer
*
*
**
Morgan County
**
 		**
*
3 or fewer
*
*
**
Moultrie County
**
 		**
*
3 or fewer
*
*
**
Perry County
**
 		**
*
3 or fewer
*
*
**
Piatt County
**
 		**
*
3 or fewer
*
*
**
Pike County
**
 		**
*
3 or fewer
*
*
**
Pope County
**
 		**
*
3 or fewer
*
*
**
Pulaski County
**
 		**
*
3 or fewer
*
*
**
Putnam County
**
 		**
*
3 or fewer
*
*
**
Randolph County
**
 		**
*
3 or fewer
*
*
**
Richland County
**
 		**
*
3 or fewer
*
*
**
Saline County
**
 		**
*
3 or fewer
*
*
**
Schuyler County
**
 		**
*
3 or fewer
*
*
**
Scott County
**
 		**
*
3 or fewer
*
*
**
Shelby County
**
 		**
*
3 or fewer
*
*
**
Stark County
**
 		**
*
3 or fewer
*
*
**
Union County
**
 		**
*
3 or fewer
*
*
**
Wabash County
**
 		**
*
3 or fewer
*
*
**
Warren County
**
 		**
*
3 or fewer
*
*
**
Washington County
**
 		**
*
3 or fewer
*
*
**
Wayne County
**
 		**
*
3 or fewer
*
*
**
White County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/14/2026 9:56 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

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
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:
Alexander County, Bond County, Brown County, Calhoun County, Carroll County, Cass County, Christian County, Clark County, Clay County, Crawford County, Cumberland County, De Witt County, Douglas County, Edgar County, Edwards County, Effingham County, Fayette County, Ford County, Gallatin County, Greene County, Hamilton County, Hancock County, Hardin County, Henderson County, Jasper County, Johnson County, Lawrence County, Marshall County, Mason County, Massac County, Menard County, Mercer County, Morgan 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

Trend for the following could not be reliably determined due to small number of deaths per year:
Boone County, Clinton County, Grundy County, Jersey County, Jo Daviess County, Logan County, Monroe County, Montgomery County, Woodford 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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