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Incidence Rates Table

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Incidence Rate Report for Pennsylvania by County

Breast (All Stages^), 2016-2020

All Races (includes Hispanic), Female, All Ages

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 6 130.6 (129.5, 131.8) N/A 11,241 rising rising trend 0.5 (0.3, 0.6)
US (SEER+NPCR) 1 127.0 (126.8, 127.2) N/A 249,750 rising rising trend 0.5 (0.3, 0.7)
Allegheny County 6 140.9 (137.1, 144.8) 5 (1, 18) 1,177 rising rising trend 0.7 (0.4, 1.1)
Philadelphia County 6 119.8 (116.6, 123.1) 46 (33, 56) 1,117 stable stable trend -0.3 (-0.7, 0.1)
Montgomery County 6 146.3 (141.6, 151.1) 1 (1, 12) 814 rising rising trend 0.6 (0.1, 1.2)
Bucks County 6 141.9 (136.7, 147.2) 4 (1, 19) 634 stable stable trend 0.7 (-0.1, 1.5)
Delaware County 6 137.3 (131.8, 143.1) 9 (2, 29) 501 stable stable trend 0.1 (-0.5, 0.8)
Lancaster County 6 134.8 (129.2, 140.7) 13 (4, 34) 478 stable stable trend 1.2 (-0.1, 3.8)
Chester County 6 143.2 (137.3, 149.3) 3 (1, 19) 474 stable stable trend 0.6 (-0.1, 1.2)
York County 6 128.6 (122.6, 134.8) 24 (10, 49) 379 stable stable trend 0.3 (0.0, 0.7)
Berks County 6 125.6 (119.4, 132.1) 32 (13, 53) 337 stable stable trend 0.2 (-0.4, 0.8)
Westmoreland County 6 125.0 (118.5, 131.8) 34 (12, 54) 336 rising rising trend 0.9 (0.1, 1.8)
Lehigh County 6 131.8 (125.1, 138.9) 16 (5, 43) 311 stable stable trend 0.4 (-0.5, 1.4)
Northampton County 6 135.7 (128.2, 143.4) 12 (2, 38) 282 rising rising trend 1.0 (0.3, 1.7)
Luzerne County 6 127.1 (120.1, 134.4) 26 (10, 53) 282 stable stable trend 0.4 (-0.3, 1.0)
Erie County 6 130.3 (122.5, 138.5) 22 (5, 49) 233 stable stable trend 0.5 (-0.2, 1.3)
Dauphin County 6 122.7 (115.3, 130.4) 41 (15, 58) 225 stable stable trend -0.1 (-0.9, 0.7)
Cumberland County 6 126.1 (118.2, 134.4) 30 (10, 56) 211 stable stable trend 0.7 (0.0, 1.5)
Washington County 6 132.5 (123.9, 141.6) 14 (2, 47) 202 stable stable trend 0.3 (-0.8, 1.4)
Lackawanna County 6 136.0 (127.1, 145.3) 10 (1, 42) 201 rising rising trend 1.2 (0.3, 2.2)
Beaver County 6 144.8 (134.6, 155.7) 2 (1, 28) 177 stable stable trend 1.2 (-0.1, 2.5)
Butler County 6 125.0 (116.1, 134.4) 35 (8, 57) 164 stable stable trend 0.2 (-0.8, 1.3)
Monroe County 6 125.8 (116.4, 135.8) 31 (6, 58) 147 stable stable trend 0.0 (-0.9, 1.0)
Cambria County 6 131.1 (120.5, 142.5) 19 (2, 55) 135 stable stable trend 0.9 (-0.4, 2.2)
Lebanon County 6 125.2 (115.0, 136.1) 33 (6, 59) 123 rising rising trend 1.1 (0.3, 2.0)
Schuylkill County 6 116.0 (106.3, 126.5) 52 (19, 65) 120 stable stable trend 0.2 (-1.2, 1.7)
Centre County 6 140.5 (128.8, 153.0) 6 (1, 44) 118 rising rising trend 1.8 (0.6, 3.1)
Franklin County 6 109.8 (100.7, 119.6) 60 (35, 66) 118 stable stable trend -0.8 (-2.2, 0.6)
Blair County 6 128.6 (117.5, 140.7) 23 (3, 58) 115 stable stable trend 1.0 (-0.2, 2.3)
Fayette County 6 116.7 (106.5, 127.7) 49 (15, 64) 113 stable stable trend 0.9 (0.0, 2.0)
Lycoming County 6 127.8 (116.1, 140.3) 25 (2, 61) 101 stable stable trend 1.4 (-0.1, 3.0)
Mercer County 6 123.9 (112.4, 136.4) 40 (5, 62) 100 stable stable trend 0.9 (-0.5, 2.4)
Adams County 6 127.0 (114.9, 140.2) 27 (3, 60) 92 stable stable trend 0.0 (-1.4, 1.5)
Lawrence County 6 124.9 (111.6, 139.5) 36 (2, 63) 78 stable stable trend -0.1 (-1.5, 1.4)
Northumberland County 6 113.5 (101.5, 126.7) 56 (18, 66) 76 stable stable trend -0.5 (-2.6, 1.6)
Indiana County 6 130.3 (116.1, 146.0) 21 (1, 60) 72 stable stable trend -0.1 (-2.7, 2.5)
Crawford County 6 115.8 (103.3, 129.5) 53 (13, 66) 71 stable stable trend 0.2 (-1.1, 1.5)
Somerset County 6 135.7 (120.6, 152.4) 11 (1, 56) 71 rising rising trend 4.7 (1.8, 11.3)
Clearfield County 6 117.6 (104.5, 132.0) 48 (8, 65) 66 stable stable trend 0.1 (-1.8, 2.0)
Armstrong County 6 119.1 (105.0, 134.8) 47 (5, 66) 59 stable stable trend 1.3 (-0.2, 2.8)
Bradford County 6 132.4 (116.1, 150.5) 15 (1, 61) 56 rising rising trend 2.5 (0.1, 6.9)
Columbia County 6 124.5 (109.0, 141.7) 38 (1, 65) 55 stable stable trend 1.1 (-10.6, 10.0)
Pike County 6 131.5 (114.7, 150.3) 17 (1, 63) 53 stable stable trend -0.3 (-3.2, 2.8)
Carbon County 6 109.9 (96.2, 125.3) 59 (15, 66) 52 stable stable trend 0.7 (-1.3, 2.8)
Bedford County 6 137.7 (120.1, 157.5) 8 (1, 58) 52 rising rising trend 2.6 (0.5, 5.1)
Venango County 6 124.2 (107.3, 143.2) 39 (1, 65) 47 stable stable trend 0.0 (-1.7, 1.6)
Mifflin County 6 131.4 (112.8, 152.3) 18 (1, 63) 43 stable stable trend 1.2 (-0.2, 2.6)
Wayne County 6 111.5 (95.0, 130.2) 58 (9, 67) 41 stable stable trend 0.0 (-1.9, 2.0)
Jefferson County 6 130.4 (111.9, 151.3) 20 (1, 63) 41 stable stable trend 0.6 (-1.5, 2.8)
Warren County 6 127.0 (108.4, 148.2) 28 (1, 65) 39 stable stable trend 0.8 (-1.4, 3.2)
Huntingdon County 6 121.1 (103.3, 141.5) 44 (1, 66) 38 stable stable trend 1.7 (-1.2, 5.0)
Perry County 6 116.2 (98.9, 135.8) 51 (3, 66) 36 stable stable trend -0.7 (-2.4, 1.0)
Susquehanna County 6 112.7 (94.9, 133.1) 57 (4, 66) 35 stable stable trend 1.1 (-1.7, 4.0)
Snyder County 6 124.8 (106.0, 146.1) 37 (1, 65) 35 stable stable trend 0.0 (-1.6, 1.7)
McKean County 6 120.5 (101.1, 142.8) 45 (1, 66) 32 stable stable trend -0.2 (-2.1, 1.7)
Clinton County 6 121.8 (102.3, 144.3) 42 (1, 66) 31 stable stable trend 0.3 (-3.1, 3.9)
Tioga County 6 103.2 (86.3, 122.7) 66 (16, 67) 31 stable stable trend -2.0 (-5.0, 1.0)
Greene County 6 126.5 (106.0, 150.1) 29 (1, 65) 31 stable stable trend -10.9 (-30.3, 5.3)
Union County 6 108.3 (90.6, 128.8) 63 (8, 67) 30 stable stable trend -0.6 (-3.7, 2.7)
Clarion County 6 114.1 (95.3, 135.6) 54 (4, 66) 30 stable stable trend 0.9 (-1.3, 3.2)
Elk County 6 121.7 (100.9, 146.0) 43 (1, 66) 28 stable stable trend 1.8 (-0.9, 4.9)
Wyoming County 6 113.9 (91.6, 140.4) 55 (1, 67) 21 stable stable trend -2.0 (-4.2, 0.2)
Montour County 6 138.9 (110.2, 173.5) 7 (1, 65) 19 stable stable trend 0.7 (-1.5, 3.1)
Juniata County 6 109.4 (87.3, 135.8) 62 (1, 67) 19 stable stable trend 0.4 (-1.8, 2.8)
Potter County 6 109.8 (82.0, 144.6) 61 (1, 67) 13 stable stable trend -2.0 (-4.6, 0.7)
Fulton County 6 75.4 (54.3, 103.5) 67 (53, 67) 9 stable stable trend -15.0 (-31.1, 0.5)
Sullivan County 6 103.6 (63.9, 167.0) 65 (1, 67) 6 stable stable trend -21.3 (-58.2, 3.1)
Forest County 6 108.2 (65.1, 205.6) 64 (1, 67) 5 falling falling trend -5.9 (-30.2, -1.5)
Cameron County 6 116.6 (62.6, 201.7) 50 (1, 67) 4 stable stable trend 1.3 (-3.4, 6.4)
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 7:39 pm.

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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