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Interpretation of Death Rates Data

Death Rate Report for North Carolina by County

Colon & Rectum, 2016-2020

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

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 74.4 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


Other Notes


Line by Line Interpretation of the Report


North Carolina


United States


Nash County


Bertie County


Durham County


Hoke County


Transylvania County


Moore County


New Hanover County


Davie County


Yadkin County


Orange County


Chatham County


Chowan County


Pitt County


Martin County


Wake County


Brunswick County


Lincoln County


Buncombe County


Craven County


Franklin County


Northampton County


Guilford County


Harnett County


Henderson County


Union County


Bladen County


Mecklenburg County


Montgomery County


Richmond County


Forsyth County


Haywood County


Onslow County


Randolph County


Alamance County


Catawba County


Cumberland County


Pender County


Iredell County


Cabarrus County


Hertford County


Sampson County


Wayne County


Edgecombe County


Lenoir County


Warren County


Vance County


Dare County


Gaston County


Johnston County


Person County


Wilson County


Burke County


Lee County


Rockingham County


Scotland County


Ashe County


Beaufort County


Caldwell County


Columbus County


Davidson County


Pasquotank County


Carteret County


Granville County


Alexander County


Cherokee County


Washington County


Wilkes County


Mitchell County


Rutherford County


Perquimans County


Robeson County


Rowan County


Cleveland County


Stokes County


Halifax County


Madison County


Caswell County


Jackson County


McDowell County


Yancey County


Surry County


Macon County


Stanly County


Swain County


Anson County


Duplin County


Clay County


Currituck County


Greene County


Polk County


Watauga County


Alleghany County Avery County Camden County Gates County Graham County Hyde County Jones County Pamlico County Tyrrell County

Notes:
Created by statecancerprofiles.cancer.gov on 09/26/2023 3:01 am.

State Cancer Registries may provide more current or more local data.
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.

† 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 2030 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.