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Incidence Rates Table

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Incidence Rate Report for Pennsylvania by County

All Cancer Sites (All Stages^), 2016-2020

All Races (includes Hispanic), Both Sexes, Ages <65

Sorted by Count
County
 sort alphabetically by name ascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count ascending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
Pennsylvania 6 240.6 (239.3, 241.8) N/A 32,815 falling falling trend -0.4 (-1.3, -0.2)
US (SEER+NPCR) 1 225.0 (224.8, 225.3) N/A 726,500 stable stable trend -0.1 (-0.2, 0.0)
Philadelphia County 6 242.2 (238.6, 245.9) 40 (26, 46) 3,698 falling falling trend -1.9 (-2.7, -1.3)
Allegheny County 6 245.3 (241.2, 249.4) 34 (21, 43) 3,178 falling falling trend -0.6 (-0.9, -0.4)
Montgomery County 6 231.5 (226.8, 236.2) 52 (39, 59) 2,064 falling falling trend -0.9 (-3.2, -0.3)
Bucks County 6 240.2 (234.9, 245.7) 42 (26, 51) 1,760 stable stable trend -0.3 (-0.7, 0.1)
Delaware County 6 236.9 (231.1, 242.8) 44 (30, 56) 1,414 stable stable trend -0.4 (-0.9, 0.1)
Lancaster County 6 231.3 (225.3, 237.5) 53 (36, 60) 1,245 stable stable trend -0.3 (-0.7, 0.1)
Chester County 6 220.4 (214.6, 226.3) 61 (51, 65) 1,225 falling falling trend -0.6 (-1.0, -0.2)
York County 6 236.7 (230.3, 243.2) 45 (28, 56) 1,144 stable stable trend -0.3 (-0.7, 0.1)
Berks County 6 232.6 (225.9, 239.4) 51 (34, 60) 1,014 stable stable trend -0.1 (-0.6, 0.5)
Lehigh County 6 247.3 (240.0, 254.8) 31 (13, 46) 936 stable stable trend -0.2 (-0.7, 0.4)
Westmoreland County 6 231.2 (224.0, 238.6) 54 (35, 61) 931 falling falling trend -3.0 (-6.0, -0.1)
Luzerne County 6 266.2 (258.0, 274.5) 3 (2, 24) 900 stable stable trend 0.3 (-0.1, 0.7)
Northampton County 6 262.9 (254.6, 271.4) 7 (2, 27) 852 stable stable trend 0.1 (-0.8, 0.4)
Erie County 6 249.8 (241.2, 258.6) 27 (8, 46) 717 stable stable trend 2.4 (0.0, 4.8)
Dauphin County 6 235.6 (227.4, 244.0) 47 (27, 59) 689 stable stable trend 0.1 (-0.3, 0.5)
Washington County 6 258.2 (248.3, 268.4) 16 (3, 39) 598 stable stable trend 0.5 (-0.1, 1.1)
Lackawanna County 6 265.7 (255.6, 276.2) 4 (2, 28) 586 stable stable trend 0.2 (-0.4, 0.7)
Cumberland County 6 225.0 (216.5, 233.6) 56 (40, 65) 585 stable stable trend -0.1 (-0.8, 0.6)
Butler County 6 234.1 (224.3, 244.3) 48 (24, 60) 490 stable stable trend -0.9 (-5.5, 0.0)
Monroe County 6 247.8 (237.3, 258.8) 30 (8, 51) 488 rising rising trend 3.0 (1.0, 5.9)
Beaver County 6 256.7 (245.6, 268.2) 18 (2, 41) 476 stable stable trend 0.7 (0.0, 1.3)
Schuylkill County 6 264.8 (253.0, 277.0) 5 (1, 32) 428 stable stable trend 0.6 (0.0, 1.1)
Cambria County 6 256.0 (243.6, 268.9) 19 (2, 45) 376 stable stable trend -0.2 (-0.8, 0.4)
Fayette County 6 251.6 (239.5, 264.3) 23 (4, 50) 369 stable stable trend 0.5 (-0.2, 1.1)
Blair County 6 261.8 (248.8, 275.4) 8 (2, 38) 348 rising rising trend 1.0 (0.4, 1.7)
Franklin County 6 216.4 (205.7, 227.4) 63 (47, 66) 344 stable stable trend -0.2 (-1.1, 0.8)
Lebanon County 6 220.1 (208.9, 231.8) 62 (38, 66) 319 stable stable trend -5.1 (-11.9, 0.4)
Lycoming County 6 257.6 (244.1, 271.6) 17 (2, 45) 313 stable stable trend -1.3 (-4.8, 0.0)
Mercer County 6 252.9 (239.5, 266.9) 21 (3, 48) 311 stable stable trend 0.5 (-0.1, 1.1)
Centre County 6 199.6 (189.0, 210.7) 66 (61, 67) 290 stable stable trend -0.6 (-1.3, 0.2)
Northumberland County 6 260.8 (246.1, 276.2) 12 (2, 42) 269 stable stable trend 0.6 (-0.3, 1.6)
Adams County 6 222.1 (209.1, 235.8) 59 (34, 66) 254 stable stable trend -0.2 (-0.9, 0.5)
Lawrence County 6 255.1 (239.7, 271.3) 20 (2, 52) 242 stable stable trend 0.4 (-0.5, 1.2)
Crawford County 6 244.1 (229.0, 259.9) 35 (6, 61) 228 stable stable trend 0.1 (-0.8, 1.0)
Clearfield County 6 232.7 (218.0, 248.1) 49 (17, 64) 211 stable stable trend 0.1 (-0.8, 1.1)
Somerset County 6 245.6 (229.5, 262.6) 32 (4, 60) 201 stable stable trend -0.1 (-1.1, 1.0)
Armstrong County 6 261.6 (244.1, 280.2) 10 (1, 48) 197 rising rising trend 1.3 (0.3, 2.3)
Carbon County 6 250.4 (233.4, 268.4) 25 (2, 58) 189 stable stable trend 5.1 (-0.9, 10.2)
Indiana County 6 220.7 (205.6, 236.6) 60 (31, 66) 187 stable stable trend -0.2 (-1.0, 0.7)
Bradford County 6 261.2 (242.6, 281.0) 11 (1, 50) 172 rising rising trend 0.8 (0.2, 1.5)
Pike County 6 259.8 (240.8, 280.0) 14 (1, 53) 170 rising rising trend 1.0 (0.1, 1.9)
Columbia County 6 245.6 (228.0, 264.2) 33 (3, 61) 166 stable stable trend -2.8 (-9.4, 0.1)
Venango County 6 263.9 (243.8, 285.5) 6 (1, 50) 156 rising rising trend 0.9 (0.1, 1.7)
Wayne County 6 215.5 (198.1, 234.3) 64 (34, 67) 134 stable stable trend 0.1 (-0.8, 1.1)
Bedford County 6 243.4 (223.4, 264.8) 38 (3, 63) 130 stable stable trend 0.3 (-0.7, 1.3)
Perry County 6 242.5 (222.8, 263.7) 39 (3, 64) 126 stable stable trend 0.5 (-0.6, 1.6)
Jefferson County 6 251.8 (230.6, 274.6) 22 (2, 60) 121 stable stable trend 0.9 (-0.3, 2.2)
Mifflin County 6 248.3 (227.4, 270.7) 29 (2, 63) 119 stable stable trend 0.6 (-0.6, 1.8)
Susquehanna County 6 243.7 (221.8, 267.3) 37 (2, 65) 115 stable stable trend 1.0 (0.0, 2.0)
Huntingdon County 6 232.6 (212.8, 253.9) 50 (9, 66) 113 rising rising trend 1.2 (0.2, 2.3)
Warren County 6 250.4 (228.1, 274.4) 26 (2, 62) 113 stable stable trend 0.1 (-1.1, 1.3)
McKean County 6 248.8 (226.9, 272.3) 28 (2, 62) 109 stable stable trend -0.3 (-1.5, 1.0)
Greene County 6 259.9 (236.6, 285.1) 13 (1, 56) 103 rising rising trend 1.4 (0.3, 2.6)
Snyder County 6 240.7 (219.1, 264.0) 41 (3, 65) 103 stable stable trend 0.1 (-2.0, 2.4)
Union County 6 227.4 (207.4, 248.8) 55 (14, 66) 102 stable stable trend -0.6 (-2.1, 0.8)
Tioga County 6 223.4 (202.6, 246.0) 57 (16, 67) 100 stable stable trend -6.9 (-14.6, 0.0)
Clinton County 6 243.9 (220.9, 268.7) 36 (2, 65) 94 stable stable trend 0.1 (-1.1, 1.4)
Elk County 6 261.8 (236.0, 289.9) 9 (1, 58) 92 rising rising trend 1.7 (0.4, 3.1)
Clarion County 6 213.7 (192.4, 236.8) 65 (26, 67) 86 falling falling trend -1.8 (-7.9, -0.6)
Wyoming County 6 259.2 (231.9, 289.0) 15 (1, 62) 77 stable stable trend 0.0 (-1.3, 1.4)
Juniata County 6 236.5 (209.2, 266.5) 46 (2, 67) 62 rising rising trend 2.6 (1.4, 4.0)
Montour County 6 313.0 (276.2, 353.6) 1 (1, 22) 61 stable stable trend 1.5 (-0.4, 3.5)
Potter County 6 239.0 (204.9, 277.4) 43 (1, 67) 44 stable stable trend 0.0 (-1.6, 1.5)
Fulton County 6 185.5 (155.5, 220.2) 67 (44, 67) 31 falling falling trend -10.7 (-21.9, -0.8)
Sullivan County 6 251.6 (195.9, 321.4) 24 (1, 67) 20 stable stable trend 0.9 (-2.6, 4.7)
Forest County 6 222.7 (164.5, 305.7) 58 (1, 67) 18 stable stable trend 2.1 (-0.5, 5.0)
Cameron County 6 271.4 (205.3, 354.8) 2 (1, 67) 15 rising rising trend 3.4 (1.0, 6.0)
Notes:
Created by statecancerprofiles.cancer.gov on 03/29/2024 7:18 am.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† 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 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.

Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.


1 Source: National Program of Cancer Registries and Surveillance, Epidemiology, and End Results SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute. Based on the 2022 submission.
6 Source: National Program of Cancer Registries SEER*Stat Database - United States Department of Health and Human Services, Centers for Disease Control and Prevention (based on the 2022 submission).
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data 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 modifed by NCI. The US Population Data File is used with SEER November 2022 data.
Data for the United States does not include data from Nevada.
Data for the United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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