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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 65+

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

Polk County

Clay County

Duplin County

Northampton County

Transylvania County

Watauga County

Currituck County

Chatham County

Avery County

Hertford County

Pamlico County

Henderson County

Orange County

Pitt County

Wake County

Madison County

Moore County

Mecklenburg County

Warren County

Brunswick County

Haywood County

Jackson County

Gates County

Buncombe County

Perquimans County

Cherokee County

Mitchell County

Camden County

Guilford County

Alexander County

Durham County

New Hanover County

Wilson County

Alleghany County

Macon County

Catawba County

Cabarrus County

Beaufort County

Greene County

Bertie County

Union County

Anson County

Montgomery County

Bladen County

Dare County

Graham County

Chowan County

Ashe County

Rutherford County

Iredell County

Burke County

Jones County

Lincoln County

Gaston County

Forsyth County

Davie County

Lee County

Yancey County

Yadkin County

Hoke County

Pender County

Stanly County

Wilkes County

Washington County

Rockingham County

Caldwell County

Harnett County

Cumberland County

Carteret County

Johnston County

Alamance County

Lenoir County

Pasquotank County

Franklin County

McDowell County

Granville County

Edgecombe County

Columbus County

Stokes County

Craven County

Person County

Martin County

Richmond County

Nash County

Caswell County

Wayne County

Scotland County

Sampson County

Randolph County

Robeson County

Davidson County

Vance County

Cleveland County

Hyde County

Rowan County

Halifax County

Tyrrell County

Surry County

Onslow County

Swain County

Created by on 11/30/2023 5:28 am.

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

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.