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Death Rates Table

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Death Rate Report for North Carolina by County

Melanoma of the Skin, 2011-2015

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 2.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
North Carolina No 2.7 (2.5, 2.8) 294 stable stable trend -0.4 (-0.7, 0.0)
United States No 2.6 (2.6, 2.6) 9,196 falling falling trend -2.7 (-5.1, -0.2)
Transylvania County No 7.4 (4.1, 12.7) 4
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*
Henderson County No 5.1 (3.7, 7.0) 9 rising rising trend 3.2 (0.8, 5.6)
Haywood County No 4.2 (2.4, 6.9) 4
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Wilkes County No 4.2 (2.5, 6.7) 4
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*
Burke County No 4.0 (2.5, 6.1) 5 stable stable trend 1.5 (-1.2, 4.3)
Craven County No 3.8 (2.4, 5.9) 5 stable stable trend -0.9 (-3.3, 1.6)
Cleveland County No 3.8 (2.4, 5.8) 5 stable stable trend 1.4 (-1.0, 3.7)
Moore County No 3.7 (2.4, 5.5) 5
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Gaston County No 3.5 (2.5, 4.8) 9 stable stable trend -0.1 (-2.4, 2.1)
Davidson County No 3.5 (2.4, 4.9) 7 stable stable trend 0.7 (-1.7, 3.2)
Iredell County No 3.4 (2.3, 4.9) 6 stable stable trend -0.2 (-2.5, 2.2)
Union County No 3.3 (2.2, 4.8) 6
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Randolph County No 3.3 (2.1, 4.9) 5
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Brunswick County No 3.2 (2.0, 4.9) 6
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Chatham County No 3.0 (1.7, 5.1) 3
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Cabarrus County No 2.9 (1.9, 4.2) 5 stable stable trend -1.4 (-3.5, 0.8)
Johnston County No 2.8 (1.8, 4.1) 5
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Buncombe County No 2.7 (2.0, 3.7) 9 stable stable trend -1.1 (-3.0, 0.8)
Rowan County No 2.7 (1.7, 4.1) 5 stable stable trend -0.1 (-2.6, 2.4)
Wayne County No 2.6 (1.5, 4.2) 4
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Onslow County No 2.6 (1.5, 4.2) 3
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Alamance County No 2.6 (1.6, 3.9) 5 stable stable trend -0.0 (-2.6, 2.7)
Forsyth County No 2.5 (1.9, 3.4) 10 stable stable trend -0.5 (-2.1, 1.2)
Mecklenburg County No 2.5 (2.0, 3.0) 20 falling falling trend -1.8 (-3.1, -0.5)
Rockingham County No 2.5 (1.4, 4.2) 3 stable stable trend -1.3 (-4.0, 1.5)
Catawba County Yes 2.4 (1.5, 3.6) 5 stable stable trend -12.5 (-23.6, 0.3)
Orange County Yes 2.4 (1.3, 3.9) 3
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Wake County Yes 2.3 (1.9, 2.9) 19 stable stable trend -0.6 (-2.0, 0.9)
New Hanover County Yes 2.3 (1.5, 3.3) 6
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Cumberland County Yes 2.3 (1.5, 3.2) 6 stable stable trend -0.5 (-2.4, 1.5)
Guilford County Yes 2.1 (1.6, 2.8) 11 stable stable trend -0.9 (-2.3, 0.6)
Durham County Yes 1.9 (1.2, 2.8) 5 stable stable trend 0.0 (-2.4, 2.5)
Alexander County ***
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3 or fewer
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Alleghany County ***
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3 or fewer
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Anson County ***
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3 or fewer
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Ashe County ***
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3 or fewer
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Avery County ***
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3 or fewer
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Beaufort County ***
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3 or fewer
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Bertie County ***
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3 or fewer
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Bladen County ***
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3 or fewer
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Caldwell County ***
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3 or fewer
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Camden County ***
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3 or fewer
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Carteret County ***
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3 or fewer
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Caswell County ***
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3 or fewer
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Cherokee County ***
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3 or fewer
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Chowan County ***
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3 or fewer
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Clay County ***
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3 or fewer
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Columbus County ***
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3 or fewer
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Currituck County ***
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3 or fewer
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Dare County ***
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3 or fewer
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Davie County ***
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3 or fewer
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Duplin County ***
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3 or fewer
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Edgecombe County ***
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3 or fewer
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Franklin County ***
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3 or fewer
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Gates County ***
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3 or fewer
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Graham County ***
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3 or fewer
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Granville County ***
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3 or fewer
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Greene County ***
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3 or fewer
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Halifax County ***
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3 or fewer
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Harnett County ***
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3 or fewer
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Hertford County ***
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3 or fewer
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Hoke County ***
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3 or fewer
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Hyde County ***
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3 or fewer
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Jackson County ***
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3 or fewer
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Jones County ***
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3 or fewer
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Lee County ***
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3 or fewer
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Lenoir County ***
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3 or fewer
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Lincoln County ***
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3 or fewer
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Macon County ***
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3 or fewer
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Madison County ***
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3 or fewer
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Martin County ***
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3 or fewer
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McDowell County ***
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3 or fewer
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Mitchell County ***
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3 or fewer
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Montgomery County ***
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3 or fewer
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Nash County ***
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3 or fewer
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Northampton County ***
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3 or fewer
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Pamlico County ***
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3 or fewer
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Pasquotank County ***
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3 or fewer
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Pender County ***
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3 or fewer
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Perquimans County ***
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3 or fewer
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Person County ***
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3 or fewer
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Pitt County ***
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3 or fewer
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Polk County ***
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3 or fewer
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Richmond County ***
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3 or fewer
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Robeson County ***
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3 or fewer
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Rutherford County ***
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3 or fewer
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Sampson County ***
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3 or fewer
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Scotland County ***
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3 or fewer
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Stanly County ***
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3 or fewer
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Stokes County ***
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3 or fewer
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Surry County ***
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3 or fewer
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Swain County ***
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3 or fewer
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Tyrrell County ***
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3 or fewer
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Vance County ***
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3 or fewer
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Warren County ***
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3 or fewer
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Washington County ***
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3 or fewer
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Watauga County ***
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3 or fewer
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Wilson County ***
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3 or fewer
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Yadkin County ***
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3 or fewer
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Yancey County ***
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3 or fewer
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*
Notes:
Created by statecancerprofiles.cancer.gov on 07/18/2019 1:03 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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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).


Please note that the data comes from different sources. Due to different years of data availablility, 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.

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