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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Illinois Counties versus United States

Bladder

All Races, Both Sexes

Sorted by priority index
Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index descending 		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 falling trend - 16,684 4.2 (4.1, 4.2) - -2.5 (-3.2, -1.7)
Illinois - stable stable trend - 647 4.2 (4.0, 4.3) - -3.6 (-7.3, 0.2)
Winnebago County 4 stable stable trend higher 23 5.9 (4.8, 7.1) 1.4 0.2 (-1.1, 1.4)
Adams County 6 stable stable trend similar 4 3.7 (2.2, 6.0) 0.9 0.3 (-1.8, 2.4)
DeKalb County 6 stable stable trend similar 5 4.8 (3.0, 7.1) 1.1 0.5 (-1.7, 2.8)
DuPage County 6 stable stable trend similar 42 3.8 (3.3, 4.3) 0.9 -2.2 (-5.0, 0.8)
Franklin County 6 stable stable trend similar 3 5.7 (3.3, 9.5) 1.4 2.0 (-0.4, 4.5)
Kane County 6 stable stable trend similar 20 3.8 (3.1, 4.7) 0.9 -1.0 (-2.0, 0.0)
Kankakee County 6 stable stable trend similar 8 5.4 (3.8, 7.4) 1.3 0.8 (-1.0, 2.7)
La Salle County 6 stable stable trend similar 8 4.6 (3.3, 6.5) 1.1 1.7 (0.0, 3.5)
Lake County 6 stable stable trend similar 34 4.5 (3.8, 5.2) 1.1 -0.1 (-0.7, 0.6)
Macoupin County 6 stable stable trend similar 4 5.4 (3.3, 8.6) 1.3 -0.4 (-2.0, 1.4)
Madison County 6 stable stable trend similar 15 4.2 (3.3, 5.3) 1.0 0.3 (-0.9, 1.5)
McHenry County 6 stable stable trend similar 15 4.8 (3.7, 6.0) 1.1 -0.5 (-1.8, 0.7)
Rock Island County 6 stable stable trend similar 10 5.0 (3.7, 6.6) 1.2 -0.3 (-1.7, 1.1)
Sangamon County 6 stable stable trend similar 14 5.2 (4.1, 6.7) 1.3 0.9 (-0.2, 2.1)
St. Clair County 6 stable stable trend similar 16 5.2 (4.1, 6.5) 1.2 0.2 (-0.9, 1.2)
Tazewell County 6 stable stable trend similar 10 5.1 (3.8, 6.8) 1.2 0.6 (-0.7, 1.8)
Vermilion County 6 stable stable trend similar 6 5.0 (3.3, 7.3) 1.2 -1.1 (-2.5, 0.3)
Will County 6 stable stable trend similar 29 4.3 (3.6, 5.0) 1.0 0.3 (-0.7, 1.4)
Macon County 7 stable stable trend lower 5 2.6 (1.7, 4.1) 0.6 -1.1 (-2.6, 0.5)
Cook County 8 falling falling trend similar 232 3.9 (3.6, 4.1) 0.9 -0.6 (-0.9, -0.2)
Peoria County 8 falling falling trend similar 8 3.4 (2.5, 4.7) 0.8 -1.4 (-2.8, 0.0)
Champaign County 9 falling falling trend lower 5 2.1 (1.3, 3.2) 0.5 -2.4 (-4.3, -0.5)
McLean County 9 falling falling trend lower 5 2.9 (1.9, 4.3) 0.7 -6.3 (-11.8, -0.5)
Fulton County
**
 		** similar 3 6.3 (3.6, 10.6) 1.5
**
Kendall County
**
 		** similar 6 6.2 (4.1, 8.9) 1.5
**
Knox County
**
 		** similar 3 3.9 (2.2, 6.6) 0.9
**
Lee County
**
 		** higher 4 8.0 (4.9, 12.7) 1.9
**
Morgan County
**
 		** similar 3 6.0 (3.5, 10.1) 1.4
**
Stephenson County
**
 		** similar 4 5.3 (3.3, 8.5) 1.3
**
Whiteside County
**
 		** similar 5 5.4 (3.4, 8.3) 1.3
**
Alexander County
**
 		**
*
3 or fewer
*
*
**
Bond County
**
 		**
*
3 or fewer
*
*
**
Boone County
**
 		**
*
3 or fewer
*
*
**
Brown County
**
 		**
*
3 or fewer
*
*
**
Bureau 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
*
*
**
Clinton County
**
 		**
*
3 or fewer
*
*
**
Coles 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
*
*
**
Grundy County
**
 		**
*
3 or fewer
*
*
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Hancock County
**
 		**
*
3 or fewer
*
*
**
Hardin County
**
 		**
*
3 or fewer
*
*
**
Henderson County
**
 		**
*
3 or fewer
*
*
**
Henry County
**
 		**
*
3 or fewer
*
*
**
Iroquois County
**
 		**
*
3 or fewer
*
*
**
Jackson County
**
 		**
*
3 or fewer
*
*
**
Jasper County
**
 		**
*
3 or fewer
*
*
**
Jefferson County
**
 		**
*
3 or fewer
*
*
**
Jersey County
**
 		**
*
3 or fewer
*
*
**
Jo Daviess County
**
 		**
*
3 or fewer
*
*
**
Johnson County
**
 		**
*
3 or fewer
*
*
**
Lawrence County
**
 		**
*
3 or fewer
*
*
**
Livingston County
**
 		**
*
3 or fewer
*
*
**
Logan County
**
 		**
*
3 or fewer
*
*
**
Marion County
**
 		**
*
3 or fewer
*
*
**
Marshall County
**
 		**
*
3 or fewer
*
*
**
Mason County
**
 		**
*
3 or fewer
*
*
**
Massac County
**
 		**
*
3 or fewer
*
*
**
McDonough County
**
 		**
*
3 or fewer
*
*
**
Menard County
**
 		**
*
3 or fewer
*
*
**
Mercer County
**
 		**
*
3 or fewer
*
*
**
Monroe County
**
 		**
*
3 or fewer
*
*
**
Montgomery County
**
 		**
*
3 or fewer
*
*
**
Moultrie County
**
 		**
*
3 or fewer
*
*
**
Ogle 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
*
*
**
Williamson County
**
 		**
*
3 or fewer
*
*
**
Woodford County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/30/2024 3:13 am.

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 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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Alexander County, Bond County, Boone County, Brown County, Bureau 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, Gallatin County, Greene County, Grundy County, Hamilton County, Hancock County, Hardin County, Henderson County, Henry County, Iroquois County, Jackson County, Jasper County, Jefferson County, Jersey County, Jo Daviess County, Johnson County, Lawrence County, Livingston County, Logan County, Marion County, Marshall County, Mason County, Massac County, McDonough County, Menard County, Mercer County, Monroe County, Montgomery County, Moultrie County, Ogle 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, Williamson County, Woodford County

Trend for the following could not be reliably determined due to small number of deaths per year:
Fulton County, Kendall County, Knox County, Lee County, Morgan County, Stephenson County, Whiteside 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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