Return to Home Incidence > Table

Incidence Rates Table

Data Options

Incidence Rate Report for Pennsylvania by County

Melanoma of the Skin, 2009-2013

All Races (includes Hispanic), Female, All Ages

Sorted by Name
County
sort sort alphabetically by namedescending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
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 18.1 (17.6, 18.5) 1,398 stable stable trend 3.4 (-2.5, 9.7)
US (SEER+NPCR) 1,10 16.2 (16.1, 16.3) 28,423 stable stable trend 0.1 (-1.0, 1.2)
Adams County 6,10 22.0 (16.8, 28.3) 14 stable stable trend 15.9 (-19.7, 67.3)
Allegheny County 6,10 15.5 (14.2, 16.9) 119 stable stable trend 8.7 (-8.0, 28.6)
Armstrong County 6,10 19.8 (13.8, 27.6) 8 stable stable trend 15.5 (-33.4, 100.0)
Beaver County 6,10 14.2 (11.0, 18.0) 16 stable stable trend 1.6 (-10.0, 14.8)
Bedford County 6,10 13.4 (8.0, 21.1) 4 stable stable trend 16.8 (-39.4, 125.0)
Berks County 6,10 19.8 (17.3, 22.5) 47 stable stable trend 2.2 (-17.5, 26.6)
Blair County 6,10 13.1 (9.7, 17.3) 11 stable stable trend 7.2 (-16.1, 37.1)
Bradford County 6,10 24.8 (17.9, 33.6) 9 stable stable trend -4.9 (-13.8, 5.0)
Bucks County 6,10 23.5 (21.3, 25.9) 92 rising rising trend 4.4 (1.0, 7.9)
Butler County 6,10 19.5 (15.8, 23.9) 21 stable stable trend 13.0 (-22.9, 65.5)
Cambria County 6,10 17.3 (13.3, 22.2) 15 stable stable trend -3.3 (-19.4, 16.0)
Cameron County 6,10
*
3 or fewer
*
*
Carbon County 6,10 18.7 (13.1, 26.0) 8 stable stable trend 7.7 (-17.9, 41.3)
Centre County 6,10 26.2 (21.1, 32.2) 20 stable stable trend 9.7 (-19.1, 48.7)
Chester County 6,10 24.5 (22.0, 27.2) 72 stable stable trend -1.7 (-22.8, 25.1)
Clarion County 6,10 20.8 (12.6, 32.2) 4 stable stable trend -13.6 (-45.0, 35.8)
Clearfield County 6,10 15.2 (10.4, 21.4) 7 stable stable trend -22.0 (-45.0, 10.7)
Clinton County 6,10 17.8 (10.4, 28.3) 4 stable stable trend -23.0 (-58.5, 42.9)
Columbia County 6,10 21.9 (15.6, 29.8) 9 stable stable trend -5.4 (-26.4, 21.7)
Crawford County 6,10 15.4 (11.1, 21.0) 9 stable stable trend 2.2 (-28.4, 45.9)
Cumberland County 6,10 26.9 (23.0, 31.2) 38 stable stable trend -3.8 (-21.9, 18.5)
Dauphin County 6,10 20.7 (17.6, 24.3) 33 stable stable trend -0.6 (-23.2, 28.7)
Delaware County 6,10 22.1 (19.9, 24.6) 76 stable stable trend 5.5 (-4.5, 16.5)
Elk County 6,10 19.9 (11.4, 32.5) 4 stable stable trend 20.9 (-31.7, 114.2)
Erie County 6,10 16.2 (13.4, 19.4) 26 stable stable trend -2.0 (-21.1, 21.7)
Fayette County 6,10 6.8 (4.5, 9.9) 6 stable stable trend 17.9 (-17.6, 68.6)
Forest County 6,10
*
3 or fewer
*
*
Franklin County 6,10 21.3 (17.0, 26.2) 19 stable stable trend -0.5 (-33.0, 47.7)
Fulton County 6,10
*
3 or fewer
*
*
Greene County 6,10
*
3 or fewer
*
*
Huntingdon County 6,10 16.9 (10.3, 26.4) 4 stable stable trend -13.2 (-27.5, 3.8)
Indiana County 6,10 9.4 (6.0, 14.3) 5 stable stable trend 13.4 (-1.3, 30.2)
Jefferson County 6,10 26.2 (17.4, 37.8) 6 stable stable trend -8.9 (-48.2, 60.0)
Juniata County 6,10 31.6 (19.0, 49.2) 4 stable stable trend 25.1 (-8.5, 71.0)
Lackawanna County 6,10 13.3 (10.7, 16.4) 20 stable stable trend 5.0 (-29.0, 55.1)
Lancaster County 6,10 18.9 (16.7, 21.3) 57 stable stable trend 3.0 (-4.0, 10.5)
Lawrence County 6,10 16.6 (11.8, 22.6) 9 stable stable trend -8.3 (-42.0, 44.9)
Lebanon County 6,10 19.3 (15.1, 24.3) 16 stable stable trend 3.2 (-25.9, 43.7)
Lehigh County 6,10 20.1 (17.4, 23.0) 43 stable stable trend 7.9 (-14.5, 36.2)
Luzerne County 6,10 14.7 (12.3, 17.4) 30 stable stable trend -2.3 (-18.0, 16.3)
Lycoming County 6,10 26.3 (20.9, 32.7) 18 stable stable trend -6.9 (-33.1, 29.5)
McKean County 6,10 20.0 (12.3, 30.8) 5 stable stable trend -1.7 (-60.1, 141.8)
Mercer County 6,10 19.0 (14.5, 24.6) 13 stable stable trend -2.2 (-24.6, 27.0)
Mifflin County 6,10 24.0 (16.3, 34.0) 7 stable stable trend 5.5 (-17.5, 34.9)
Monroe County 6,10 17.4 (13.8, 21.7) 17 stable stable trend 6.4 (-21.7, 44.6)
Montgomery County 6,10 23.5 (21.6, 25.5) 118 rising rising trend 12.6 (1.7, 24.6)
Montour County 6,10
*
3 or fewer
*
*
Northampton County 6,10 21.0 (18.1, 24.4) 39 stable stable trend 4.6 (-6.8, 17.5)
Northumberland County 6,10 23.8 (18.1, 30.8) 13 stable stable trend 3.7 (-26.8, 46.7)
Perry County 6,10 21.6 (14.3, 31.3) 6 stable stable trend -11.6 (-48.6, 51.9)
Philadelphia County 6,10 7.8 (6.9, 8.6) 68 stable stable trend -2.0 (-10.8, 7.6)
Pike County 6,10 10.6 (6.5, 16.6) 4 stable stable trend -1.9 (-39.4, 59.0)
Potter County 6,10
*
3 or fewer
*
*
Schuylkill County 6,10 20.3 (16.2, 25.3) 19 stable stable trend 15.7 (-11.1, 50.7)
Snyder County 6,10 27.9 (18.8, 39.9) 6 stable stable trend -10.2 (-35.2, 24.4)
Somerset County 6,10 18.5 (13.3, 25.3) 9 stable stable trend 0.3 (-9.5, 11.1)
Sullivan County 6,10
*
3 or fewer
*
*
Susquehanna County 6,10 23.0 (14.4, 34.7) 5 stable stable trend 14.7 (-32.0, 93.4)
Tioga County 6,10 24.0 (15.7, 35.3) 6 stable stable trend -11.8 (-33.1, 16.4)
Union County 6,10 29.3 (20.2, 41.3) 7 stable stable trend -20.3 (-49.8, 26.6)
Venango County 6,10 17.4 (11.2, 25.8) 6
*
*
Warren County 6,10 22.5 (14.0, 34.2) 5 stable stable trend 1.4 (-44.8, 86.3)
Washington County 6,10 14.7 (11.8, 18.1) 20 stable stable trend 8.2 (-20.0, 46.2)
Wayne County 6,10 13.2 (8.0, 20.9) 5 stable stable trend 21.8 (-41.4, 153.5)
Westmoreland County 6,10 13.9 (11.5, 16.5) 30 stable stable trend -0.6 (-19.6, 22.9)
Wyoming County 6,10 23.2 (14.1, 36.4) 4 stable stable trend -9.7 (-44.3, 46.3)
York County 6,10 27.5 (24.6, 30.7) 69 stable stable trend -1.9 (-18.6, 18.2)
Notes:
Created by statecancerprofiles.cancer.gov on 12/06/2016 4:50 pm.
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 1969-2014 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.
* 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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
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 1969-2014 US Population Data File is used with NPCR November 2015 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.


Return to Top