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Interpretation of Death Rates Data

Death Rate Report for North Carolina by County

Liver & Bile Duct, 2015-2019

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

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 0.0 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


Scotland County


Vance County


Northampton County


Bladen County


Lee County


Nash County


Montgomery County


Gaston County


Cleveland County


Edgecombe County


Burke County


Onslow County


McDowell County


Stanly County


Alamance County


Rockingham County


Person County


Dare County


Jackson County


Robeson County


Rutherford County


Cumberland County


Wayne County


Pitt County


Stokes County


Randolph County


Yadkin County


Rowan County


Pender County


Craven County


Macon County


Richmond County


Halifax County


Granville County


Mecklenburg County


Columbus County


New Hanover County


Lincoln County


Caldwell County


Surry County


Durham County


Davidson County


Haywood County


Alexander County


Harnett County


Cherokee County


Union County


Lenoir County


Buncombe County


Guilford County


Carteret County


Beaufort County


Cabarrus County


Forsyth County


Wilson County


Ashe County


Wake County


Iredell County


Transylvania County


Catawba County


Moore County


Sampson County


Duplin County


Johnston County


Watauga County


Franklin County


Henderson County


Orange County


Wilkes County


Chatham County


Brunswick County


Alleghany County Anson County Avery County Bertie County Camden County Caswell County Chowan County Clay County Currituck County Davie County Gates County Graham County Greene County Hertford County Hoke County Hyde County Jones County Madison County Martin County Mitchell County Pamlico County Pasquotank County Perquimans County Polk County Swain County Tyrrell County Warren County Washington County Yancey County

Notes:
Created by statecancerprofiles.cancer.gov on 01/26/2022 7:19 pm.

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

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Alleghany, Anson, Avery, Bertie, Camden, Caswell, Chowan, Clay, Currituck, Davie, Gates, Graham, Greene, Hertford, Hoke, Hyde, Jones, Madison, Martin, Mitchell, Pamlico, Pasquotank, Perquimans, Polk, Swain, Tyrrell, Warren, Washington, Yancey

† 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 2020 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 1969-2018 US Population Data File is used with mortality data.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


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.