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Interpretation of Death Rates Data

Death Rate Report for Illinois by County, Death Years Through 2012

Colon & Rectum
Healthy People 2020 Objective Number: C-5
Reduce the colorectal cancer death rate
All Races (includes Hispanic), Both Sexes, All Ages
Sorted by Rate

Explanation of Column Headers

Objective - The objective of 14.5 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

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 (Version 4.2)

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Other Notes

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Line by Line Interpretation of the Report

Illinois (State)United StatesSchuyler CountyHamilton CountyWabash CountyGreene CountyCumberland CountySaline CountyClinton CountyMontgomery CountyLogan CountyFulton CountyCass CountyJo Daviess CountyJohnson CountyBureau CountyMoultrie CountyCrawford CountyMacoupin CountyMorgan CountyRandolph CountyGrundy CountyClay CountyHancock CountyMacon CountyKankakee CountyLa Salle CountyRichland CountyWayne CountyVermilion CountyWilliamson CountyIroquois CountyCarroll CountyEffingham CountyMcDonough CountyDouglas CountyJefferson CountyUnion CountyCook CountyTazewell CountyWashington CountyMason CountyClark CountyMarion CountyDeKalb CountySangamon CountyKnox CountyLawrence CountyMonroe CountyChristian CountyWinnebago CountyLee CountyPike CountyWhite CountyMadison CountyPeoria CountyAdams CountyFayette CountyFranklin CountyDe Witt CountySt. Clair CountyColes CountyEdgar CountyRock Island CountyWill CountyMcHenry CountyBond CountyStephenson CountyWarren CountyFord CountyOgle CountyShelby CountyMercer CountyMcLean CountyJackson CountyLivingston CountyBoone CountyHenry CountyWhiteside CountyPerry CountyKane CountyMassac CountyDuPage CountyWoodford CountyLake CountyJersey CountyKendall CountyChampaign CountyAlexander CountyBrown CountyCalhoun CountyEdwards CountyGallatin CountyHardin CountyHenderson CountyJasper CountyMarshall CountyMenard CountyPiatt CountyPope CountyPulaski CountyPutnam CountyScott CountyStark CountyNotes:
Created by statecancerprofiles.cancer.gov on 09/02/2015 10:51 am.
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).

Trend
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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.
2 The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint Regression Program (Version 4.2). Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

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 1969-2013 US Population Data File is used with mortality data.

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