Return to Home Mortality Table Interpret

Interpretation of Death Rates Data

Death Rate Report for Mississippi by County

Colon & Rectum, 2009 - 2013

All Races (includes Hispanic), Both Sexes, All Ages


Healthy People 2020 Objective Number: C-5
Reduce the colorectal cancer death rate

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 4.3.0.0)

Return to Top

Other Notes

Return to Top

Line by Line Interpretation of the Report

Mississippi (State)

United States

Bolivar County

Leake County

Washington County

Madison County

Leflore County

Coahoma County

Yazoo County

Tishomingo County

Sunflower County

Adams County

Lincoln County

Clarke County

Attala County

Greene County

Marshall County

Carroll County

Wayne County

Tallahatchie County

Calhoun County

Scott County

Marion County

Lowndes County

Holmes County

Lee County

Stone County

Copiah County

Jasper County

Chickasaw County

Tippah County

Grenada County

Panola County

Pearl River County

Warren County

DeSoto County

Newton County

Harrison County

Pike County

Walthall County

Union County

Prentiss County

Hinds County

Lafayette County

Tate County

Pontotoc County

Clay County

Forrest County

Lamar County

Smith County

Covington County

Alcorn County

Oktibbeha County

Itawamba County

Neshoba County

Monroe County

George County

Winston County

Lauderdale County

Jackson County

Rankin County

Jones County

Hancock County

Simpson County

Amite County

Benton County

Choctaw County

Claiborne County

Franklin County

Humphreys County

Issaquena County

Jefferson County

Jefferson Davis County

Kemper County

Lawrence County

Montgomery County

Noxubee County

Perry County

Quitman County

Sharkey County

Tunica County

Webster County

Wilkinson County

Yalobusha County

Notes:
Created by statecancerprofiles.cancer.gov on 12/04/2016 5:11 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 4.3.0.0). 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 1969-2014 US Population Data File is used with mortality data.

Return to Top