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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), 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


Hyde County


Jackson County


Lincoln County


Wake County


Nash County


Durham County


Rowan County


Iredell County


Orange County


Mecklenburg County


Cabarrus County


Granville County


Currituck County


Franklin County


Bertie County


Burke County


Hertford County


Pamlico County


Gates County


Hoke County


Martin County


Transylvania County


Buncombe County


Catawba County


Chatham County


Duplin County


Forsyth County


Northampton County


Pitt County


Polk County


Dare County


New Hanover County


Perquimans County


Rockingham County


Union County


Alleghany County


Avery County


Clay County


Gaston County


Guilford County


Johnston County


Lee County


Washington County


Brunswick County


Carteret County


Cumberland County


Pasquotank County


Stokes County


Watauga County


Lenoir County


Montgomery County


Moore County


Warren County


Beaufort County


Caswell County


Cherokee County


Craven County


Graham County


Harnett County


Henderson County


Ashe County


Bladen County


Greene County


Vance County


Wilson County


Chowan County


Columbus County


Macon County


Mitchell County


Pender County


Stanly County


Wayne County


Alamance County


Alexander County


Caldwell County


Cleveland County


Onslow County


Person County


Yadkin County


Haywood County


Randolph County


Robeson County


Rutherford County


Tyrrell County


Wilkes County


Davidson County


Halifax County


Anson County


Davie County


Richmond County


Scotland County


Jones County


Sampson County


Edgecombe County


Surry County


Yancey County


McDowell County


Swain County


Madison County


Camden County




Notes:
Created by statecancerprofiles.cancer.gov on 06/19/2025 5:32 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.

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.