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Incidence Rates Table

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Incidence Rate Report for Pennsylvania by County

Ovary, 2010-2014

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
Met Healthy People Objective of ***?
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 *** 12.3 (12.0, 12.7) 1,040 falling falling trend -2.7 (-4.9, -0.3)
US (SEER+NPCR) 1,10 *** 11.4 (11.4, 11.5) 21,315 falling falling trend -1.8 (-2.2, -1.3)
Tioga County 6,10 *** 20.0 (12.7, 30.1) 5 stable stable trend -8.6 (-45.2, 52.5)
Clarion County 6,10 *** 17.6 (10.8, 27.3) 4 stable stable trend 13.3 (-35.3, 98.3)
Wyoming County 6,10 *** 17.6 (10.3, 28.8) 4 falling falling trend -34.2 (-56.5, -0.5)
Somerset County 6,10 *** 16.9 (12.0, 23.3) 9 stable stable trend 8.6 (-26.2, 59.8)
Fayette County 6,10 *** 15.4 (11.9, 19.5) 15 stable stable trend -2.4 (-22.8, 23.4)
Erie County 6,10 *** 14.7 (12.2, 17.6) 25 stable stable trend -5.3 (-16.0, 6.7)
Susquehanna County 6,10 *** 14.6 (8.8, 23.3) 4
*
*
Northampton County 6,10 *** 14.6 (12.2, 17.3) 28 stable stable trend -2.5 (-16.4, 13.7)
Mifflin County 6,10 *** 14.5 (9.1, 22.2) 5 stable stable trend -0.7 (-42.1, 70.3)
Warren County 6,10 *** 14.3 (8.0, 23.5) 4 stable stable trend 11.4 (-29.3, 75.7)
Montgomery County 6,10 *** 14.2 (12.8, 15.8) 76 stable stable trend -1.6 (-7.8, 5.0)
Bradford County 6,10 *** 14.0 (9.3, 20.6) 6
*
*
Chester County 6,10 *** 14.0 (12.2, 16.0) 44 stable stable trend -1.1 (-13.7, 13.3)
Wayne County 6,10 *** 13.9 (8.9, 21.3) 5 stable stable trend 2.2 (-40.1, 74.2)
Lawrence County 6,10 *** 13.8 (9.8, 19.0) 9 falling falling trend -8.6 (-16.5, -0.1)
Lackawanna County 6,10 *** 13.8 (11.1, 16.9) 21 stable stable trend -9.0 (-19.6, 3.0)
Delaware County 6,10 *** 13.6 (11.9, 15.5) 49 stable stable trend -3.5 (-25.3, 24.6)
Pike County 6,10 *** 13.4 (8.5, 20.5) 5 stable stable trend -16.0 (-47.8, 35.3)
Cambria County 6,10 *** 13.3 (10.1, 17.2) 14 stable stable trend -7.6 (-22.0, 9.4)
Lancaster County 6,10 *** 13.2 (11.5, 15.1) 45 stable stable trend -1.0 (-21.9, 25.6)
Clearfield County 6,10 *** 13.1 (9.2, 18.4) 8 stable stable trend 0.9 (-59.8, 153.3)
Venango County 6,10 *** 13.1 (7.9, 20.4) 5 stable stable trend 0.2 (-53.5, 115.9)
Columbia County 6,10 *** 12.9 (8.4, 19.0) 6 stable stable trend 0.9 (-37.6, 63.0)
Bucks County 6,10 *** 12.8 (11.3, 14.6) 53 stable stable trend -0.5 (-17.0, 19.3)
Luzerne County 6,10 *** 12.8 (10.7, 15.3) 29 stable stable trend -3.3 (-14.0, 8.8)
Monroe County 6,10 *** 12.8 (9.8, 16.4) 13 stable stable trend -8.3 (-33.9, 27.3)
Lycoming County 6,10 *** 12.8 (9.2, 17.4) 9 stable stable trend 1.1 (-27.2, 40.4)
Westmoreland County 6,10 *** 12.7 (10.8, 14.9) 36 stable stable trend -3.3 (-23.3, 21.9)
McKean County 6,10 *** 12.6 (7.4, 20.4) 4 stable stable trend 13.6 (-16.2, 54.1)
Beaver County 6,10 *** 12.5 (9.7, 15.8) 16 stable stable trend -4.0 (-25.1, 23.0)
Carbon County 6,10 *** 12.3 (7.9, 18.5) 5 stable stable trend -20.6 (-59.0, 53.9)
Butler County 6,10 *** 12.2 (9.6, 15.5) 16 stable stable trend -2.2 (-16.9, 15.0)
Allegheny County 6,10 *** 12.2 (11.1, 13.3) 108 stable stable trend -2.3 (-11.9, 8.4)
Mercer County 6,10 *** 12.1 (8.6, 16.6) 9 stable stable trend -1.3 (-39.2, 60.3)
York County 6,10 *** 11.7 (9.9, 13.7) 32 stable stable trend -3.9 (-18.1, 12.8)
Northumberland County 6,10 *** 11.6 (8.1, 16.3) 8 stable stable trend -6.8 (-28.7, 21.8)
Lehigh County 6,10 *** 11.4 (9.5, 13.7) 26 stable stable trend -1.1 (-8.8, 7.2)
Lebanon County 6,10 *** 11.4 (8.2, 15.3) 10 stable stable trend 5.5 (-21.6, 42.0)
Blair County 6,10 *** 11.2 (8.2, 15.2) 10 stable stable trend -11.1 (-28.4, 10.4)
Huntingdon County 6,10 *** 11.1 (6.1, 18.7) 3
*
*
Philadelphia County 6,10 *** 11.0 (10.0, 12.0) 98 stable stable trend -1.3 (-7.9, 5.8)
Jefferson County 6,10 *** 10.9 (6.3, 17.8) 4 stable stable trend -17.7 (-55.3, 51.4)
Centre County 6,10 *** 10.9 (7.8, 14.8) 9 stable stable trend -2.7 (-37.0, 50.1)
Franklin County 6,10 *** 10.8 (8.0, 14.3) 11 stable stable trend -8.6 (-33.2, 24.9)
Dauphin County 6,10 *** 10.8 (8.6, 13.4) 18 stable stable trend 5.0 (-4.3, 15.2)
Cumberland County 6,10 *** 10.7 (8.5, 13.4) 17 stable stable trend 8.5 (-12.7, 34.8)
Armstrong County 6,10 *** 10.5 (6.8, 15.9) 5 stable stable trend -17.3 (-42.8, 19.6)
Crawford County 6,10 *** 10.5 (7.0, 15.2) 6 stable stable trend -3.6 (-46.8, 74.5)
Berks County 6,10 *** 10.4 (8.7, 12.4) 27 stable stable trend -8.3 (-22.2, 8.2)
Bedford County 6,10 *** 9.6 (5.6, 15.8) 4
*
*
Washington County 6,10 *** 9.6 (7.5, 12.2) 15 stable stable trend -8.1 (-31.0, 22.4)
Adams County 6,10 *** 9.2 (6.2, 13.3) 6 stable stable trend 2.3 (-19.2, 29.6)
Schuylkill County 6,10 *** 9.0 (6.5, 12.1) 10 stable stable trend -2.1 (-32.9, 42.9)
Indiana County 6,10 *** 8.2 (5.1, 12.5) 5 stable stable trend 7.2 (-31.9, 68.5)
Cameron County 6,10 *
*
3 or fewer
*
*
Clinton County 6,10 *
*
3 or fewer
*
*
Elk County 6,10 *
*
3 or fewer
*
*
Forest County 6,10 *
*
3 or fewer
*
*
Fulton County 6,10 *
*
3 or fewer
*
*
Greene County 6,10 *
*
3 or fewer
*
*
Juniata County 6,10 *
*
3 or fewer
*
*
Montour County 6,10 *
*
3 or fewer
*
*
Perry County 6,10 *
*
3 or fewer
*
*
Potter County 6,10 *
*
3 or fewer
*
*
Snyder County 6,10 *
*
3 or fewer
*
*
Sullivan County 6,10 *
*
3 or fewer
*
*
Union County 6,10 *
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/25/2017 4:48 pm.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

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 1969-2015 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.
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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2016 data submission and SEER November 2016 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 2016 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 1969-2015 US Population Data File is used with NPCR November 2016 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.

Data for United States does not include Puerto Rico.

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