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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 Rate

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


Swain County


Onslow County


Scotland County


Halifax County


Vance County


Surry County


Robeson County


Caswell County


Edgecombe County


Cleveland County


Tyrrell County


Wayne County


Sampson County


Rowan County


Columbus County


Randolph County


Davidson County


Nash County


Pasquotank County


McDowell County


Richmond County


Craven County


Washington County


Yancey County


Harnett County


Alamance County


Cumberland County


Hyde County


Caldwell County


Rockingham County


Granville County


Stokes County


Person County


Lee County


Lenoir County


Carteret County


Bertie County


Gaston County


Martin County


Rutherford County


Anson County


Hoke County


Franklin County


Graham County


Johnston County


Davie County


Wilkes County


Greene County


Yadkin County


Stanly County


Bladen County


Burke County


Lincoln County


Mitchell County


Pender County


Chowan County


Jones County


Alexander County


Forsyth County


Montgomery County


Dare County


Beaufort County


Iredell County


Wilson County


Catawba County


Ashe County


Cherokee County


Perquimans County


Macon County


Haywood County


Union County


Guilford County


Warren County


Alleghany County


Buncombe County


Cabarrus County


Brunswick County


Pitt County


New Hanover County


Madison County


Durham County


Currituck County


Pamlico County


Camden County


Jackson County


Moore County


Henderson County


Hertford County


Avery County


Gates County


Mecklenburg County


Duplin County


Chatham County


Wake County


Orange County


Northampton County


Clay County


Transylvania County


Watauga County


Polk County




Notes:
Created by statecancerprofiles.cancer.gov on 02/04/2023 1:32 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.


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.