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Interpretation of Death Rates Data

Death Rate Report for North Carolina by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 122.7 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


Madison County


Rockingham County


Swain County


Yancey County


McDowell County


Surry County


Cleveland County


Jones County


Davie County


Davidson County


Rowan County


Scotland County


Edgecombe County


Halifax County


Hyde County


Randolph County


Sampson County


Wilkes County


Anson County


Burke County


Greene County


Onslow County


Tyrrell County


Yadkin County


Alamance County


Ashe County


Caldwell County


Person County


Richmond County


Alexander County


Caswell County


Chowan County


Haywood County


Macon County


Craven County


Lincoln County


Nash County


Robeson County


Vance County


Cherokee County


Iredell County


Jackson County


Lenoir County


Mitchell County


Pasquotank County


Pender County


Stanly County


Wayne County


Avery County


Bladen County


Carteret County


Columbus County


Franklin County


Harnett County


Henderson County


Hertford County


Lee County


Stokes County


Beaufort County


Cumberland County


Gaston County


Montgomery County


Dare County


Guilford County


Johnston County


Moore County


Union County


Warren County


Buncombe County


Chatham County


Clay County


Graham County


Watauga County


Alleghany County


Brunswick County


Perquimans County


Polk County


Forsyth County


New Hanover County


Washington County


Gates County


Martin County


Pitt County


Hoke County


Northampton County


Orange County


Pamlico County


Transylvania County


Bertie County


Rutherford County


Currituck County


Duplin County


Catawba County


Durham County


Cabarrus County


Mecklenburg County


Granville County


Wake County


Wilson County


Camden County




Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 3:25 pm.

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.


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.
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.