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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

Illinois Counties versus United States

Prostate

All Races, Male

Sorted by priority index

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


United States


Illinois


Cook County


Fulton County


McDonough County


Whiteside County


Woodford County


Adams County


Bureau County


Champaign County


Christian County


Coles County


DeKalb County


DuPage County


Franklin County


Henry County


Iroquois County


Jackson County


Jefferson County


Kane County


Kankakee County


Kendall County


La Salle County


Lake County


Lee County


Livingston County


Macoupin County


Madison County


Marion County


McHenry County


McLean County


Morgan County


Ogle County


Peoria County


Rock Island County


Sangamon County


St. Clair County


Stephenson County


Vermilion County


Will County


Williamson County


Winnebago County


Knox County


Macon County


Tazewell County


Boone County Effingham County Grundy County Mason County Montgomery County Alexander County Bond County Brown County Calhoun County Carroll County Cass County Clark County Clay County Clinton County Crawford County Cumberland County De Witt County Douglas County Edgar County Edwards County Fayette County Ford County Gallatin County Greene County Hamilton County Hancock County Hardin County Henderson County Jasper County Jersey County Jo Daviess County Johnson County Lawrence County Logan County Marshall County Massac County Menard County Mercer County Monroe 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

Notes:
Created by statecancerprofiles.cancer.gov on 05/05/2024 5:32 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, Brown County, Calhoun County, Carroll County, Cass County, Clark County, Clay County, Clinton County, Crawford County, Cumberland County, De Witt County, Douglas County, Edgar County, Edwards County, Fayette County, Ford County, Gallatin County, Greene County, Hamilton County, Hancock County, Hardin County, Henderson County, Jasper County, Jersey County, Jo Daviess County, Johnson County, Lawrence County, Logan County, Marshall County, Massac County, Menard County, Mercer County, Monroe 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, Effingham County, Grundy County, Mason County, Montgomery 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.