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Incidence Rates Table

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Incidence Rate Report for Pennsylvania by County

All Races (includes Hispanic), Female, Cervix, All Ages
Sorted by Rate
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
over rate period
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Pennsylvania 6,10 7.9 (7.6, 8.2) 544 2007-2011 stable stable trend -1.6 (-8.0, 5.3)
US (SEER+NPCR) 1,10 7.8 (7.8, 7.9) 12,530 § 2007-2011 falling falling trend -1.9 (-3.5, -0.3)
Centre County 6,10 5.4 (3.1, 8.7) 3 2007-2011 stable stable trend -9.7 (-47.1, 54.4)
Chester County 6,10 5.8 (4.6, 7.3) 16 2007-2011 stable stable trend -3.9 (-16.1, 10.2)
Beaver County 6,10 5.9 (3.8, 8.7) 6 2007-2011 stable stable trend -1.9 (-42.8, 68.5)
Montgomery County 6,10 6.0 (5.0, 7.2) 27 2007-2011 stable stable trend 1.4 (-19.8, 28.1)
Allegheny County 6,10 6.4 (5.5, 7.3) 44 2007-2011 stable stable trend 1.2 (-15.1, 20.6)
Cumberland County 6,10 6.6 (4.7, 9.0) 8 2007-2011 stable stable trend -11.4 (-32.8, 16.9)
Bucks County 6,10 6.6 (5.4, 8.0) 23 2007-2011 stable stable trend -12.6 (-26.2, 3.4)
Cambria County 6,10 6.6 (4.3, 9.8) 6 2007-2011 stable stable trend 10.1 (-23.8, 59.0)
Fayette County 6,10 6.7 (4.3, 10.0) 5 2007-2011 stable stable trend 0.6 (-31.1, 46.9)
Northampton County 6,10 6.8 (5.1, 8.9) 12 2007-2011 stable stable trend -2.5 (-16.3, 13.5)
Berks County 6,10 6.8 (5.3, 8.6) 14 2007-2011 stable stable trend -1.7 (-16.5, 15.7)
Butler County 6,10 6.9 (4.7, 9.7) 7 2007-2011 stable stable trend 17.8 (-11.3, 56.3)
Erie County 6,10 6.9 (5.1, 9.1) 10 2007-2011 falling falling trend -16.7 (-27.2, -4.6)
Westmoreland County 6,10 7.0 (5.4, 8.9) 14 2007-2011 stable stable trend 14.1 (-16.3, 55.7)
Blair County 6,10 7.0 (4.4, 10.6) 5 2007-2011 stable stable trend 13.3 (-8.8, 40.9)
York County 6,10 7.3 (5.9, 9.1) 18 2007-2011 stable stable trend 2 (-11.3, 17.3)
Delaware County 6,10 7.6 (6.2, 9.1) 23 2007-2011 stable stable trend -3.8 (-20.0, 15.7)
Lawrence County 6,10 7.6 (4.4, 12.1) 4 2007-2011 stable stable trend -13.3 (-36.1, 17.6)
Lehigh County 6,10 7.6 (5.9, 9.6) 15 2007-2011 stable stable trend 13.4 (-9.0, 41.3)
Lancaster County 6,10 7.8 (6.3, 9.5) 21 2007-2011 stable stable trend -5.5 (-25.5, 19.7)
Dauphin County 6,10 7.8 (5.9, 10.2) 11 2007-2011 stable stable trend 2.4 (-12.6, 20.1)
Lycoming County 6,10 8.3 (5.4, 12.2) 6 2007-2011 stable stable trend 0 (0.0, 0.0)
Lackawanna County 6,10 8.5 (6.1, 11.4) 10 2007-2011 stable stable trend -5.9 (-23.2, 15.2)
Adams County 6,10 8.7 (5.3, 13.3) 4 2007-2011 stable stable trend 12.5 (-31.8, 85.5)
Clearfield County 6,10 9.3 (5.6, 14.8) 4 2007-2011 stable stable trend 8.8 (-10.8, 32.6)
Monroe County 6,10 9.6 (6.9, 13.0) 9 2007-2011 stable stable trend 4.8 (-31.5, 60.3)
Mercer County 6,10 9.8 (6.5, 14.1) 6 2007-2011 stable stable trend -6.6 (-21.3, 10.9)
Franklin County 6,10 9.9 (6.9, 13.6) 8 2007-2011 stable stable trend -13 (-60.1, 89.8)
Northumberland County 6,10 9.9 (6.2, 15.0) 5 2007-2011 stable stable trend 10.1 (-30.7, 75.0)
Washington County 6,10 10.0 (7.4, 13.2) 11 2007-2011 stable stable trend -11.6 (-46.3, 45.3)
Luzerne County 6,10 10.1 (8.1, 12.6) 18 2007-2011 stable stable trend -3.5 (-16.6, 11.7)
Lebanon County 6,10 10.2 (7.0, 14.4) 7 2007-2011 falling falling trend -14.2 (-25.5, -1.2)
Pike County 6,10 10.5 (5.8, 17.5) 3 2007-2011 * *
Schuylkill County 6,10 10.5 (7.5, 14.4) 9 2007-2011 stable stable trend 8.8 (-30.8, 70.9)
Crawford County 6,10 11.3 (7.2, 16.8) 5 2007-2011 stable stable trend 13.8 (-18.4, 58.9)
Philadelphia County 6,10 12.5 (11.4, 13.7) 99 2007-2011 stable stable trend 2.1 (-8.5, 13.8)
Somerset County 6,10 13.8 (9.0, 20.3) 6 2007-2011 stable stable trend -9.4 (-46.7, 54.0)
Armstrong County 6,10
*
3 or fewer
2007-2011 * *
Bedford County 6,10
*
3 or fewer
2007-2011 * *
Bradford County 6,10
*
3 or fewer
2007-2011 * *
Cameron County 6,10
*
3 or fewer
2007-2011 * *
Carbon County 6,10
*
3 or fewer
2007-2011 stable stable trend -7.1 (-30.3, 23.9)
Clarion County 6,10
*
3 or fewer
2007-2011 * *
Clinton County 6,10
*
3 or fewer
2007-2011 * *
Columbia County 6,10
*
3 or fewer
2007-2011 * *
Elk County 6,10
*
3 or fewer
2007-2011 * *
Forest County 6,10
*
3 or fewer
2007-2011 * *
Fulton County 6,10
*
3 or fewer
2007-2011 * *
Greene County 6,10
*
3 or fewer
2007-2011 * *
Huntingdon County 6,10
*
3 or fewer
2007-2011 * *
Indiana County 6,10
*
3 or fewer
2007-2011 stable stable trend 7.6 (-29.0, 63.3)
Jefferson County 6,10
*
3 or fewer
2007-2011 * *
Juniata County 6,10
*
3 or fewer
2007-2011 * *
McKean County 6,10
*
3 or fewer
2007-2011 * *
Mifflin County 6,10
*
3 or fewer
2007-2011 * *
Montour County 6,10
*
3 or fewer
2007-2011 * *
Perry County 6,10
*
3 or fewer
2007-2011 * *
Potter County 6,10
*
3 or fewer
2007-2011 * *
Snyder County 6,10
*
3 or fewer
2007-2011 * *
Sullivan County 6,10
*
3 or fewer
2007-2011 * *
Susquehanna County 6,10
*
3 or fewer
2007-2011 * *
Tioga County 6,10
*
3 or fewer
2007-2011 * *
Union County 6,10
*
3 or fewer
2007-2011 * *
Venango County 6,10
*
3 or fewer
2007-2011 * *
Warren County 6,10
*
3 or fewer
2007-2011 * *
Wayne County 6,10
*
3 or fewer
2007-2011 * *
Wyoming County 6,10
*
3 or fewer
2007-2011 * *
Notes:
Created by statecancerprofiles.cancer.gov on 12/20/2014 7:58 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 1969-2012 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 2013 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 2013 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.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission and SEER November 2013 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 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 1969-2012 US Population Data File is used with NPCR January 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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