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Incidence Rates Table

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Incidence Rate Report for by County

Breast, 2009-2013

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
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 6,10 129.0 (127.9, 130.1) 10,627 stable stable trend 0.4 (-1.0, 1.8)
US (SEER+NPCR) 1,10 123.3 (123.1, 123.5) 224,504 stable stable trend -0.1 (-1.5, 1.2)
Cameron County 6,10 160.4 (104.2, 240.2) 6 stable stable trend 11.2 (-2.9, 27.3)
Wyoming County 6,10 146.8 (122.2, 175.2) 27 stable stable trend -5.1 (-18.9, 11.0)
Lycoming County 6,10 144.2 (132.2, 157.2) 113 stable stable trend -1.6 (-12.8, 11.1)
Mercer County 6,10 143.1 (131.1, 156.0) 117 stable stable trend -0.6 (-4.7, 3.7)
Sullivan County 6,10 140.9 (98.5, 201.3) 8 rising rising trend 24.6 (12.6, 37.8)
Greene County 6,10 139.6 (118.7, 163.4) 34 stable stable trend -1.7 (-23.8, 26.9)
Beaver County 6,10 139.5 (129.9, 149.7) 173 stable stable trend 2.5 (-11.5, 18.8)
Delaware County 6,10 139.1 (133.5, 145.0) 489 stable stable trend -1.3 (-7.3, 5.1)
Bucks County 6,10 138.1 (132.9, 143.4) 569 stable stable trend 2.7 (-2.9, 8.6)
Montgomery County 6,10 138.1 (133.5, 142.8) 718 stable stable trend 1.4 (-4.1, 7.2)
Butler County 6,10 137.9 (128.4, 148.0) 165 stable stable trend -0.1 (-11.3, 12.6)
Northampton County 6,10 137.1 (129.6, 145.0) 264 stable stable trend 1.6 (-5.3, 9.0)
Allegheny County 6,10 135.6 (131.9, 139.3) 1,149 stable stable trend 0.2 (-3.3, 3.8)
Elk County 6,10 134.8 (113.5, 159.5) 31 stable stable trend 8.6 (-15.1, 39.0)
Chester County 6,10 134.0 (128.1, 140.1) 400 stable stable trend 1.3 (-2.4, 5.1)
Lawrence County 6,10 133.2 (120.4, 147.1) 88 stable stable trend -0.2 (-6.3, 6.3)
Centre County 6,10 132.4 (120.6, 145.2) 96 stable stable trend 4.0 (-14.2, 26.0)
Mifflin County 6,10 132.0 (114.6, 151.6) 44 stable stable trend -2.9 (-13.2, 8.8)
Cumberland County 6,10 132.0 (123.8, 140.7) 205 stable stable trend 0.1 (-4.4, 4.9)
Erie County 6,10 131.0 (123.3, 139.1) 228 stable stable trend -0.3 (-5.9, 5.5)
York County 6,10 130.9 (124.7, 137.3) 353 stable stable trend 0.8 (-1.8, 3.4)
Westmoreland County 6,10 130.8 (124.5, 137.4) 357 stable stable trend 0.5 (-6.0, 7.4)
Columbia County 6,10 130.6 (115.3, 147.6) 57 stable stable trend 3.6 (-9.4, 18.5)
Armstrong County 6,10 129.7 (115.3, 145.6) 65 stable stable trend 5.7 (-4.4, 16.8)
Warren County 6,10 129.5 (111.2, 150.2) 40 stable stable trend 7.8 (-6.4, 24.1)
Washington County 6,10 128.8 (120.4, 137.7) 191 stable stable trend 3.4 (-8.3, 16.5)
Berks County 6,10 126.8 (120.6, 133.4) 322 stable stable trend 1.4 (-0.7, 3.5)
Lehigh County 6,10 126.7 (120.0, 133.7) 279 stable stable trend 0.5 (-10.4, 12.8)
Bedford County 6,10 126.4 (109.3, 145.7) 43 stable stable trend 1.2 (-12.1, 16.4)
Philadelphia County 6,10 126.3 (122.9, 129.8) 1,094 falling falling trend -2.3 (-4.3, -0.4)
Lackawanna County 6,10 125.9 (117.5, 134.7) 187 stable stable trend -0.0 (-3.9, 3.9)
Carbon County 6,10 125.5 (111.1, 141.5) 59 stable stable trend -1.6 (-20.3, 21.6)
Bradford County 6,10 124.7 (109.7, 141.4) 54 stable stable trend -0.0 (-4.8, 4.9)
Dauphin County 6,10 123.8 (116.2, 131.7) 211 stable stable trend -2.3 (-6.6, 2.1)
Adams County 6,10 123.0 (111.2, 135.9) 84 stable stable trend -1.5 (-15.2, 14.5)
Lancaster County 6,10 122.5 (117.0, 128.2) 392 stable stable trend 2.4 (-0.4, 5.4)
Venango County 6,10 122.3 (106.2, 140.2) 47 stable stable trend -3.4 (-18.1, 13.9)
Luzerne County 6,10 122.0 (115.3, 129.0) 276 stable stable trend -0.6 (-9.2, 8.9)
Lebanon County 6,10 121.6 (111.4, 132.6) 112 stable stable trend 5.1 (-3.1, 14.0)
Tioga County 6,10 121.0 (103.1, 141.5) 35 stable stable trend 13.9 (-11.2, 46.0)
Snyder County 6,10 120.6 (101.7, 142.3) 30 stable stable trend 3.6 (-10.1, 19.5)
Crawford County 6,10 120.4 (107.8, 134.2) 71 stable stable trend 5.8 (-6.8, 20.0)
Montour County 6,10 119.4 (94.7, 149.4) 17 stable stable trend 2.2 (-9.5, 15.5)
Schuylkill County 6,10 118.8 (109.1, 129.1) 123 stable stable trend -5.0 (-20.2, 13.2)
Cambria County 6,10 118.1 (108.2, 128.7) 120 stable stable trend -5.0 (-16.4, 8.0)
Fayette County 6,10 118.0 (108.2, 128.5) 118 stable stable trend 1.3 (-8.5, 12.2)
Monroe County 6,10 117.4 (108.1, 127.5) 121 stable stable trend -1.8 (-9.7, 6.8)
Fulton County 6,10 117.4 (88.5, 153.6) 12 stable stable trend 10.6 (-13.4, 41.2)
Blair County 6,10 117.3 (107.0, 128.5) 105 stable stable trend -2.3 (-16.9, 14.8)
Northumberland County 6,10 117.1 (105.2, 130.1) 79 stable stable trend 4.6 (-6.2, 16.7)
Perry County 6,10 116.6 (99.4, 136.2) 34 stable stable trend 0.2 (-19.8, 25.2)
Clarion County 6,10 114.6 (96.3, 135.6) 30 stable stable trend -4.9 (-33.0, 35.2)
McKean County 6,10 113.7 (95.7, 134.3) 31 stable stable trend 13.5 (-15.4, 52.2)
Clinton County 6,10 113.2 (94.4, 134.8) 28 stable stable trend 4.6 (-27.4, 50.7)
Forest County 6,10 113.1 (66.7, 186.1) 5 stable stable trend 12.2 (-19.0, 55.6)
Susquehanna County 6,10 112.7 (95.8, 131.9) 34 stable stable trend -0.4 (-26.5, 35.0)
Jefferson County 6,10 112.5 (95.7, 131.6) 35 stable stable trend -13.1 (-25.5, 1.4)
Union County 6,10 112.5 (94.0, 133.8) 29 stable stable trend -1.9 (-26.5, 31.1)
Clearfield County 6,10 111.0 (98.3, 125.0) 60 stable stable trend -2.1 (-9.2, 5.6)
Pike County 6,10 110.3 (95.5, 127.0) 43 stable stable trend -2.8 (-21.6, 20.6)
Wayne County 6,10 108.1 (92.5, 125.8) 39 stable stable trend 2.5 (-17.0, 26.5)
Franklin County 6,10 106.4 (97.2, 116.3) 104 stable stable trend -5.4 (-15.9, 6.5)
Indiana County 6,10 105.3 (93.1, 118.9) 60 stable stable trend 3.8 (-8.4, 17.6)
Somerset County 6,10 104.1 (91.9, 117.6) 57 stable stable trend -1.2 (-11.0, 9.7)
Juniata County 6,10 104.0 (82.4, 130.0) 17 stable stable trend 2.3 (-17.3, 26.6)
Huntingdon County 6,10 102.1 (86.0, 120.7) 31 stable stable trend 8.4 (-10.9, 32.0)
Potter County 6,10 99.5 (75.1, 130.2) 12 stable stable trend 22.6 (-0.7, 51.5)
Notes:
Created by statecancerprofiles.cancer.gov on 07/26/2016 3:54 pm.
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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