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Incidence Rates Table

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Incidence Rate Report for by County

Melanoma of the Skin, 2008-2012

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

Sorted by Rate
County
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Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by rateascending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Pennsylvania 6,10 20.4 (20.1, 20.7) 3,045 stable stable trend 3.5 (-0.3, 7.5)
US (SEER+NPCR) 1,10 19.9 (19.8, 20.0) 65,719 § stable stable trend 0.1 (-0.9, 1.1)
Fulton County 6,10 31.8 (20.6, 47.1) 5
*
*
Cumberland County 6,10 30.4 (27.5, 33.5) 85 stable stable trend 3.9 (-15.3, 27.4)
York County 6,10 29.9 (27.8, 32.2) 147 rising rising trend 6.5 (1.8, 11.5)
Centre County 6,10 29.8 (25.8, 34.2) 41 rising rising trend 12.9 (0.1, 27.4)
Chester County 6,10 29.0 (27.0, 31.2) 159 stable stable trend 3.6 (-13.3, 23.7)
Franklin County 6,10 28.7 (25.2, 32.6) 51 stable stable trend 1.4 (-18.7, 26.5)
Columbia County 6,10 28.5 (23.3, 34.5) 22 stable stable trend -8.9 (-19.7, 3.3)
Tioga County 6,10 28.4 (22.1, 36.1) 15 stable stable trend 5.0 (-18.8, 35.7)
Union County 6,10 28.4 (22.2, 35.9) 15 stable stable trend -6.4 (-22.0, 12.3)
Snyder County 6,10 28.1 (21.5, 36.2) 13
*
*
Bucks County 6,10 27.5 (25.8, 29.3) 207 stable stable trend 7.0 (-2.6, 17.5)
Lycoming County 6,10 27.4 (23.5, 31.7) 38 stable stable trend 0.1 (-18.6, 23.0)
Delaware County 6,10 26.3 (24.5, 28.2) 167 stable stable trend 4.7 (-13.0, 26.1)
Montgomery County 6,10 26.2 (24.7, 27.7) 247 rising rising trend 11.8 (3.3, 21.0)
Bradford County 6,10 26.1 (21.0, 32.1) 20 stable stable trend 0.2 (-21.5, 28.0)
Perry County 6,10 26.1 (20.1, 33.3) 14
*
*
Clarion County 6,10 25.6 (19.0, 33.7) 11
*
*
Adams County 6,10 25.1 (21.2, 29.6) 31 stable stable trend -7.7 (-18.5, 4.4)
Wyoming County 6,10 25.1 (18.0, 34.2) 9
*
*
Juniata County 6,10 24.5 (16.9, 34.3) 7
*
*
Northampton County 6,10 24.4 (22.1, 26.9) 87 rising rising trend 6.6 (0.6, 12.9)
Jefferson County 6,10 23.9 (18.0, 31.1) 12
*
*
Dauphin County 6,10 23.3 (20.8, 25.9) 69 stable stable trend 4.5 (-14.0, 27.1)
Warren County 6,10 23.2 (17.2, 30.7) 11
*
*
Berks County 6,10 22.6 (20.6, 24.6) 103 stable stable trend 3.5 (-7.2, 15.4)
Lehigh County 6,10 22.5 (20.5, 24.8) 92 stable stable trend -0.0 (-11.6, 13.0)
Potter County 6,10 22.5 (14.5, 33.8) 5
*
*
Lebanon County 6,10 22.4 (19.2, 26.0) 36 stable stable trend 3.6 (-9.7, 19.0)
Butler County 6,10 22.0 (19.2, 25.1) 48 stable stable trend 6.3 (-19.1, 39.6)
Lancaster County 6,10 21.5 (19.8, 23.3) 125 stable stable trend 5.1 (-2.4, 13.1)
Venango County 6,10 21.4 (16.5, 27.3) 14
*
*
Mifflin County 6,10 21.2 (16.1, 27.6) 12
*
*
Bedford County 6,10 21.2 (16.3, 27.2) 14
*
*
Susquehanna County 6,10 21.0 (15.6, 27.7) 11
*
*
Montour County 6,10 20.5 (13.4, 30.6) 5
*
*
Clearfield County 6,10 20.5 (16.6, 25.0) 20 stable stable trend -13.1 (-33.9, 14.2)
Northumberland County 6,10 20.3 (16.7, 24.4) 25 stable stable trend -5.1 (-26.4, 22.3)
McKean County 6,10 20.1 (14.9, 26.7) 10
*
*
Carbon County 6,10 20.1 (16.0, 25.0) 18 stable stable trend -5.0 (-25.1, 20.4)
Somerset County 6,10 19.3 (15.6, 23.8) 20 stable stable trend 8.7 (-17.2, 42.8)
Mercer County 6,10 19.2 (16.0, 22.9) 28 stable stable trend 6.0 (-18.5, 37.9)
Blair County 6,10 19.2 (16.3, 22.6) 32 stable stable trend 0.5 (-17.1, 22.0)
Clinton County 6,10 19.1 (13.7, 26.0) 9
*
*
Lawrence County 6,10 18.5 (14.9, 22.7) 21 stable stable trend -11.5 (-26.9, 7.2)
Schuylkill County 6,10 18.3 (15.6, 21.4) 35 stable stable trend 12.5 (-0.2, 26.9)
Luzerne County 6,10 18.3 (16.4, 20.3) 75 stable stable trend 3.7 (-6.1, 14.5)
Huntingdon County 6,10 17.7 (13.1, 23.6) 10
*
*
Cambria County 6,10 17.6 (14.9, 20.7) 34 stable stable trend -0.3 (-17.1, 19.8)
Armstrong County 6,10 17.5 (13.6, 22.2) 15 stable stable trend 19.2 (-16.0, 69.3)
Crawford County 6,10 17.3 (14.0, 21.3) 20 stable stable trend -5.9 (-19.3, 9.8)
Elk County 6,10 16.7 (11.2, 24.0) 7
*
*
Erie County 6,10 16.6 (14.6, 18.9) 52 stable stable trend -2.9 (-22.3, 21.3)
Monroe County 6,10 16.2 (13.6, 19.2) 29 stable stable trend 3.3 (-11.0, 19.8)
Allegheny County 6,10 16.0 (15.1, 17.0) 239 stable stable trend 1.7 (-6.0, 10.0)
Washington County 6,10 15.7 (13.6, 18.2) 40 stable stable trend 4.2 (-19.3, 34.5)
Pike County 6,10 15.6 (11.7, 20.6) 11
*
*
Lackawanna County 6,10 15.5 (13.4, 17.8) 43 stable stable trend -7.6 (-20.7, 7.6)
Indiana County 6,10 15.4 (12.0, 19.6) 15 stable stable trend 6.0 (-14.5, 31.4)
Wayne County 6,10 15.1 (11.2, 20.2) 10
*
*
Beaver County 6,10 14.8 (12.5, 17.4) 33 stable stable trend -10.2 (-22.5, 3.9)
Westmoreland County 6,10 13.7 (12.1, 15.4) 62 stable stable trend 1.5 (-10.8, 15.5)
Greene County 6,10 12.8 (8.5, 18.6) 6
*
*
Philadelphia County 6,10 10.0 (9.3, 10.7) 154 stable stable trend 5.1 (-9.9, 22.6)
Fayette County 6,10 9.1 (7.2, 11.5) 16 stable stable trend -3.9 (-28.5, 29.2)
Cameron County 6,10
*
3 or fewer
*
*
Forest County 6,10
*
3 or fewer
*
*
Sullivan County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2016 2:02 am.
Data for the United States does not include data from Nevada.
State Cancer Registries may provide more current or more local data.
† Incidence 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 are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2013 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases 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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2013 US Population Data File is used with NPCR November 2014 data.

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.


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