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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

Pancreas

All Races, Both Sexes

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


Fulton County


La Salle County


Livingston County


Logan County


Henry County


Kankakee County


Tazewell County


Will County


Jefferson County


Sangamon County


Adams County


Boone County


Champaign County


Christian County


Clinton County


Cook County


DeKalb County


DuPage County


Effingham County


Franklin County


Grundy County


Iroquois County


Kane County


Kendall County


Knox County


Lake County


Lawrence County


Lee County


Macon County


Macoupin County


Madison County


McHenry County


McLean County


Morgan County


Ogle County


Peoria County


Randolph County


Rock Island County


St. Clair County


Vermilion County


Whiteside County


Williamson County


Winnebago County


Coles County


Stephenson County


Marion County


Bureau County Crawford County Douglas County Fayette County Ford County Jackson County Jersey County Jo Daviess County Mason County McDonough County Mercer County Monroe County Montgomery County Piatt County Pike County Richland County Saline County Washington County White County Woodford County Alexander County Bond County Brown County Calhoun County Carroll County Cass County Clark County Clay County Cumberland County De Witt County Edgar County Edwards County Gallatin County Greene County Hamilton County Hancock County Hardin County Henderson County Jasper County Johnson County Marshall County Massac County Menard County Moultrie County Perry County Pope County Pulaski County Putnam County Schuyler County Scott County Shelby County Stark County Union County Wabash County Warren County Wayne County

Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2024 3:20 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, Cumberland County, De Witt County, Edgar County, Edwards County, Gallatin County, Greene County, Hamilton County, Hancock County, Hardin County, Henderson County, Jasper County, Johnson County, Marshall County, Massac County, Menard County, Moultrie County, Perry County, Pope County, Pulaski County, Putnam County, Schuyler County, Scott County, Shelby County, Stark County, Union County, Wabash County, Warren County, Wayne County

Trend for the following could not be reliably determined due to small number of deaths per year:
Bureau County, Crawford County, Douglas County, Fayette County, Ford County, Jackson County, Jersey County, Jo Daviess County, Mason County, McDonough County, Mercer County, Monroe County, Montgomery County, Piatt County, Pike County, Richland County, Saline County, Washington County, White 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 does not include Puerto Rico.