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Incidence Rates Table

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Incidence Rate Report for by County

All Cancer Sites, 2009-2013

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)
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Average Annual Count
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Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Pennsylvania 6,10 487.2 (485.6, 488.8) 76,414 stable stable trend -1.3 (-2.9, 0.2)
US (SEER+NPCR) 1,10 448.4 (448.1, 448.7) 1,540,559 falling falling trend -1.9 (-2.6, -1.2)
Juniata County 6,10 413.3 (381.6, 447.1) 132 stable stable trend 4.7 (-9.5, 21.1)
Forest County 6,10 420.2 (365.6, 482.7) 46 stable stable trend -5.2 (-17.2, 8.5)
Huntingdon County 6,10 420.4 (397.0, 444.9) 251 stable stable trend 0.9 (-5.3, 7.4)
Indiana County 6,10 423.8 (406.1, 442.1) 459 stable stable trend -1.2 (-5.1, 2.9)
Union County 6,10 427.1 (402.1, 453.2) 225 stable stable trend -3.4 (-10.2, 4.0)
Susquehanna County 6,10 431.0 (406.9, 456.2) 260 stable stable trend 1.9 (-5.9, 10.3)
Wayne County 6,10 440.2 (418.4, 463.0) 329 stable stable trend 3.5 (-7.6, 16.0)
Centre County 6,10 442.4 (427.0, 458.3) 641 stable stable trend 0.7 (-7.2, 9.3)
Lancaster County 6,10 444.7 (437.1, 452.3) 2,756 stable stable trend -1.4 (-4.0, 1.2)
Franklin County 6,10 445.0 (431.5, 458.9) 849 falling falling trend -5.5 (-10.5, -0.3)
Somerset County 6,10 459.3 (440.9, 478.4) 500 stable stable trend 0.5 (-6.6, 8.0)
Snyder County 6,10 459.5 (432.2, 488.2) 220 stable stable trend -0.5 (-8.3, 8.0)
Monroe County 6,10 459.8 (446.0, 474.0) 887 stable stable trend -2.1 (-6.8, 2.9)
McKean County 6,10 460.9 (435.5, 487.4) 258 stable stable trend 0.0 (-6.6, 7.1)
Adams County 6,10 461.1 (444.2, 478.4) 592 stable stable trend 0.4 (-4.8, 5.8)
Pike County 6,10 461.1 (439.1, 484.1) 354 stable stable trend -3.6 (-9.8, 2.9)
Cumberland County 6,10 461.4 (450.3, 472.8) 1,362 falling falling trend -3.0 (-4.9, -1.2)
Clearfield County 6,10 462.3 (444.1, 481.0) 510 falling falling trend -2.4 (-3.7, -1.1)
Dauphin County 6,10 463.2 (452.4, 474.2) 1,457 stable stable trend -0.5 (-3.6, 2.7)
Fulton County 6,10 465.3 (422.2, 512.0) 90 stable stable trend 2.1 (-4.0, 8.6)
Tioga County 6,10 466.3 (440.8, 492.9) 267 stable stable trend -1.8 (-5.0, 1.6)
Lebanon County 6,10 467.0 (452.4, 481.9) 816 stable stable trend -1.9 (-6.1, 2.4)
Bedford County 6,10 468.6 (445.6, 492.7) 326 stable stable trend -2.4 (-10.4, 6.3)
Northumberland County 6,10 472.6 (455.6, 490.1) 622 stable stable trend 0.4 (-3.9, 5.0)
Blair County 6,10 472.7 (457.8, 488.0) 813 stable stable trend -0.8 (-3.4, 1.9)
Armstrong County 6,10 473.4 (453.6, 493.9) 460 stable stable trend 0.8 (-2.8, 4.5)
Berks County 6,10 477.2 (468.4, 486.1) 2,319 stable stable trend -0.5 (-3.5, 2.5)
Mifflin County 6,10 477.8 (453.3, 503.3) 304 stable stable trend -3.9 (-15.3, 9.2)
Beaver County 6,10 478.9 (466.2, 491.9) 1,146 stable stable trend 1.1 (-2.1, 4.4)
Lawrence County 6,10 479.1 (461.4, 497.2) 603 stable stable trend 0.2 (-2.5, 2.9)
Washington County 6,10 479.7 (468.0, 491.6) 1,360 stable stable trend 1.0 (-1.2, 3.2)
Venango County 6,10 479.9 (457.3, 503.4) 365 stable stable trend 0.2 (-2.4, 2.9)
Potter County 6,10 480.1 (441.2, 521.7) 122 stable stable trend 4.2 (-5.7, 15.1)
Clarion County 6,10 480.4 (453.0, 509.1) 242 stable stable trend -2.6 (-5.3, 0.2)
Perry County 6,10 480.5 (454.3, 507.8) 268 stable stable trend -1.7 (-5.4, 2.0)
Erie County 6,10 480.7 (469.9, 491.7) 1,588 stable stable trend -1.2 (-4.6, 2.4)
Westmoreland County 6,10 481.2 (472.4, 490.0) 2,502 stable stable trend -1.0 (-4.8, 2.9)
Montour County 6,10 481.5 (443.1, 522.7) 123 stable stable trend 3.7 (-2.3, 10.1)
York County 6,10 483.5 (474.9, 492.2) 2,488 stable stable trend -0.9 (-5.1, 3.5)
Lackawanna County 6,10 483.8 (472.1, 495.7) 1,378 stable stable trend -0.6 (-4.1, 3.0)
Fayette County 6,10 484.5 (470.1, 499.3) 913 falling falling trend -3.8 (-7.0, -0.5)
Clinton County 6,10 484.8 (456.5, 514.5) 232 stable stable trend 0.7 (-8.6, 10.9)
Cambria County 6,10 485.2 (471.1, 499.6) 975 stable stable trend -1.5 (-6.6, 3.9)
Chester County 6,10 485.6 (477.3, 493.9) 2,740 stable stable trend -2.3 (-5.3, 0.9)
Schuylkill County 6,10 485.8 (472.0, 499.9) 995 stable stable trend 0.2 (-2.9, 3.3)
Jefferson County 6,10 486.6 (461.8, 512.5) 303 stable stable trend -2.2 (-9.1, 5.2)
Crawford County 6,10 486.9 (468.5, 505.9) 559 stable stable trend 0.8 (-4.3, 6.3)
Warren County 6,10 489.1 (463.2, 516.3) 289 stable stable trend -0.6 (-14.5, 15.5)
Lehigh County 6,10 489.3 (479.7, 499.1) 2,050 stable stable trend -0.4 (-3.1, 2.3)
Montgomery County 6,10 490.5 (484.2, 496.9) 4,828 stable stable trend -1.3 (-5.5, 3.1)
Bradford County 6,10 492.8 (471.2, 515.3) 417 stable stable trend -0.5 (-2.3, 1.4)
Mercer County 6,10 494.2 (478.3, 510.6) 784 stable stable trend -1.7 (-6.3, 3.2)
Allegheny County 6,10 495.3 (490.2, 500.3) 7,860 stable stable trend -1.3 (-3.0, 0.4)
Bucks County 6,10 498.9 (491.7, 506.1) 3,873 stable stable trend -1.3 (-2.9, 0.4)
Butler County 6,10 500.6 (487.4, 514.1) 1,150 falling falling trend -3.0 (-4.9, -1.0)
Luzerne County 6,10 502.7 (493.0, 512.5) 2,173 stable stable trend -1.5 (-3.8, 0.8)
Carbon County 6,10 504.6 (483.5, 526.6) 452 stable stable trend -2.1 (-7.6, 3.6)
Columbia County 6,10 504.9 (482.9, 527.7) 419 stable stable trend -0.3 (-1.8, 1.1)
Greene County 6,10 508.8 (480.0, 539.0) 245 stable stable trend -0.4 (-6.8, 6.6)
Lycoming County 6,10 511.1 (494.5, 528.2) 756 stable stable trend -1.2 (-3.7, 1.3)
Elk County 6,10 514.1 (484.2, 545.6) 235 stable stable trend -3.7 (-8.2, 1.1)
Delaware County 6,10 519.6 (511.7, 527.7) 3,391 stable stable trend -3.5 (-7.4, 0.7)
Philadelphia County 6,10 527.2 (522.1, 532.4) 8,223 stable stable trend -2.0 (-4.9, 0.9)
Northampton County 6,10 527.3 (516.7, 538.1) 1,966 stable stable trend -0.6 (-3.2, 2.0)
Wyoming County 6,10 532.7 (498.5, 568.8) 194 stable stable trend -2.2 (-6.6, 2.5)
Sullivan County 6,10 544.2 (479.5, 617.0) 60 stable stable trend 1.6 (-11.2, 16.2)
Cameron County 6,10 554.3 (477.6, 641.4) 43 stable stable trend -3.5 (-10.8, 4.3)
Notes:
Created by statecancerprofiles.cancer.gov on 09/27/2016 4:59 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 1969-2014 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.

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.


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