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Interpretation of Death Rates Data

Death Rate Report for North Carolina by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Male, All Ages

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


Moore County


Robeson County


Yancey County


Swain County


McDowell County


Tyrrell County


Anson County


Cleveland County


Jones County


Surry County


Burke County


Davidson County


Davie County


Halifax County


Haywood County


Randolph County


Rutherford County


Sampson County


Yadkin County


Ashe County


Macon County


Richmond County


Rowan County


Stanly County


Caldwell County


Craven County


Greene County


Guilford County


Person County


Alamance County


Alexander County


Brunswick County


Rockingham County


Chowan County


Dare County


Henderson County


Hyde County


Wayne County


Gaston County


Onslow County


Washington County


Wilson County


Bladen County


Columbus County


Forsyth County


Graham County


Mitchell County


Northampton County


Pender County


Vance County


Wilkes County


Beaufort County


Camden County


Carteret County


Catawba County


Edgecombe County


Iredell County


Jackson County


Lincoln County


Montgomery County


Nash County


Transylvania County


Watauga County


Cumberland County


Lenoir County


Polk County


Scotland County


Alleghany County


Buncombe County


Caswell County


Cherokee County


Harnett County


New Hanover County


Stokes County


Union County


Clay County


Avery County


Bertie County


Cabarrus County


Chatham County


Gates County


Hertford County


Pasquotank County


Warren County


Duplin County


Johnston County


Mecklenburg County


Perquimans County


Pitt County


Pamlico County


Martin County


Orange County


Hoke County


Madison County


Currituck County


Durham County


Granville County


Wake County


Lee County


Franklin County




Notes:
Created by statecancerprofiles.cancer.gov on 07/03/2025 10:15 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.

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

Φ Rural-Urban Continuum Codes provided by the USDA.


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.