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Incidence Rates Table

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Incidence Rate Report for by County

Lung & Bronchus, 2009-2013

All Races (includes Hispanic), Female, All Ages

Sorted by Count
County
sort sort alphabetically by nameascending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countascending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Pennsylvania 6,10 56.5 (55.8, 57.2) 5,014 stable stable trend -1.2 (-2.5, 0.2)
US (SEER+NPCR) 1,10 53.4 (53.2, 53.5) 100,643 falling falling trend -1.8 (-2.5, -1.1)
Philadelphia County 6,10 71.7 (69.2, 74.2) 646 stable stable trend -1.1 (-2.8, 0.6)
Allegheny County 6,10 64.5 (62.2, 67.0) 601 stable stable trend -2.7 (-8.8, 3.7)
Montgomery County 6,10 50.5 (47.8, 53.2) 282 stable stable trend -3.3 (-10.7, 4.6)
Delaware County 6,10 64.3 (60.7, 68.2) 243 stable stable trend -5.1 (-13.1, 3.6)
Bucks County 6,10 55.1 (51.9, 58.4) 235 stable stable trend 1.5 (-6.0, 9.6)
Westmoreland County 6,10 59.8 (55.8, 64.0) 179 stable stable trend 0.8 (-2.5, 4.2)
York County 6,10 56.2 (52.3, 60.3) 160 stable stable trend 0.3 (-8.9, 10.4)
Lancaster County 6,10 44.2 (41.1, 47.5) 155 stable stable trend -3.2 (-11.1, 5.5)
Berks County 6,10 56.1 (52.1, 60.3) 150 stable stable trend 3.5 (-2.0, 9.4)
Chester County 6,10 49.2 (45.6, 53.0) 148 stable stable trend -5.3 (-12.2, 2.2)
Luzerne County 6,10 57.1 (52.9, 61.7) 142 stable stable trend -0.1 (-7.3, 7.7)
Lehigh County 6,10 54.0 (49.8, 58.4) 128 stable stable trend -0.3 (-8.2, 8.3)
Northampton County 6,10 51.1 (46.8, 55.7) 110 stable stable trend -5.0 (-13.0, 3.7)
Erie County 6,10 58.5 (53.6, 63.8) 107 stable stable trend 1.1 (-9.4, 12.7)
Dauphin County 6,10 58.9 (53.8, 64.3) 104 stable stable trend 4.1 (-3.8, 12.6)
Washington County 6,10 58.7 (53.3, 64.4) 94 stable stable trend 5.3 (-5.2, 16.9)
Lackawanna County 6,10 56.5 (51.2, 62.2) 91 stable stable trend -2.4 (-14.9, 12.0)
Beaver County 6,10 60.3 (54.5, 66.6) 83 stable stable trend 6.2 (-6.4, 20.4)
Cumberland County 6,10 48.0 (43.3, 53.1) 80 stable stable trend -8.8 (-24.5, 10.3)
Fayette County 6,10 61.1 (54.5, 68.5) 65 stable stable trend -5.8 (-19.1, 9.8)
Butler County 6,10 50.5 (45.0, 56.6) 64 stable stable trend 3.7 (-18.5, 31.9)
Monroe County 6,10 60.6 (53.9, 67.8) 62 stable stable trend -2.3 (-18.0, 16.3)
Schuylkill County 6,10 54.5 (48.5, 61.3) 62 stable stable trend -3.0 (-17.0, 13.3)
Cambria County 6,10 45.6 (40.1, 51.9) 53 stable stable trend 8.8 (-9.3, 30.5)
Blair County 6,10 52.7 (46.3, 59.8) 52 stable stable trend 5.7 (-17.7, 35.6)
Lebanon County 6,10 50.2 (44.0, 57.0) 51 stable stable trend -0.8 (-11.0, 10.5)
Franklin County 6,10 46.8 (41.1, 53.2) 50 stable stable trend 0.9 (-6.5, 9.0)
Mercer County 6,10 53.9 (47.0, 61.6) 48 stable stable trend -4.8 (-23.0, 17.5)
Lawrence County 6,10 60.6 (52.7, 69.5) 45 stable stable trend 0.8 (-11.5, 14.8)
Lycoming County 6,10 51.1 (44.3, 58.8) 42 stable stable trend -7.2 (-21.5, 9.6)
Adams County 6,10 52.8 (45.4, 61.1) 38 stable stable trend 6.0 (-14.1, 30.7)
Northumberland County 6,10 49.3 (42.2, 57.5) 36 stable stable trend -3.6 (-29.4, 31.6)
Crawford County 6,10 55.2 (47.2, 64.3) 35 falling falling trend -9.5 (-14.9, -3.7)
Centre County 6,10 42.0 (35.7, 49.1) 33 stable stable trend -3.0 (-13.9, 9.3)
Armstrong County 6,10 54.0 (45.3, 64.0) 29 stable stable trend 6.7 (-1.1, 15.2)
Bradford County 6,10 60.9 (51.2, 72.1) 29 stable stable trend -2.3 (-18.7, 17.4)
Clearfield County 6,10 46.5 (39.0, 55.2) 29 stable stable trend -1.1 (-21.6, 24.8)
Carbon County 6,10 55.6 (46.7, 66.1) 28 stable stable trend 3.4 (-15.5, 26.5)
Indiana County 6,10 44.5 (37.2, 53.0) 28 stable stable trend 8.5 (-13.3, 35.7)
Pike County 6,10 59.2 (49.0, 71.3) 24 stable stable trend 3.5 (-15.9, 27.5)
Venango County 6,10 55.4 (45.7, 66.8) 24 stable stable trend 2.0 (-22.9, 35.0)
Somerset County 6,10 38.9 (32.0, 47.2) 23 stable stable trend 2.4 (-24.6, 39.0)
Wayne County 6,10 55.7 (45.6, 67.8) 22 rising rising trend 16.8 (4.4, 30.8)
Greene County 6,10 71.4 (57.5, 87.9) 19 stable stable trend 3.2 (-13.7, 23.6)
Mifflin County 6,10 53.8 (43.3, 66.5) 19 stable stable trend -5.7 (-25.5, 19.4)
Warren County 6,10 56.8 (45.6, 70.4) 19 stable stable trend -5.4 (-20.7, 12.8)
Jefferson County 6,10 52.9 (42.5, 65.5) 19 stable stable trend -6.8 (-13.5, 0.6)
McKean County 6,10 61.2 (49.1, 75.7) 19 stable stable trend -8.2 (-33.4, 26.7)
Columbia County 6,10 39.0 (31.3, 48.3) 18 stable stable trend -4.1 (-21.3, 16.8)
Tioga County 6,10 58.1 (46.4, 72.3) 18 stable stable trend 8.2 (-8.7, 28.2)
Union County 6,10 54.8 (43.1, 69.1) 16 stable stable trend -6.8 (-21.7, 10.9)
Bedford County 6,10 39.4 (31.0, 49.7) 15 stable stable trend -7.2 (-24.1, 13.4)
Perry County 6,10 51.2 (40.2, 64.5) 15 stable stable trend 0.7 (-20.9, 28.3)
Elk County 6,10 55.0 (43.1, 69.9) 15 stable stable trend -2.5 (-19.1, 17.5)
Huntingdon County 6,10 47.5 (37.1, 60.3) 15 stable stable trend 12.4 (-0.4, 26.8)
Clinton County 6,10 56.5 (44.0, 71.7) 15 falling falling trend -16.2 (-26.0, -5.1)
Susquehanna County 6,10 40.4 (31.2, 51.9) 13 stable stable trend -13.5 (-38.7, 22.1)
Clarion County 6,10 45.3 (34.5, 58.8) 13 stable stable trend -11.5 (-38.4, 27.1)
Wyoming County 6,10 58.6 (44.2, 76.9) 11 stable stable trend 24.1 (-1.6, 56.5)
Potter County 6,10 75.1 (55.7, 100.3) 11 stable stable trend -5.4 (-28.3, 24.8)
Snyder County 6,10 33.7 (24.6, 45.5) 9 stable stable trend 3.9 (-34.3, 64.3)
Montour County 6,10 56.6 (39.9, 78.8) 8 stable stable trend -6.7 (-37.6, 39.6)
Juniata County 6,10 41.8 (29.2, 58.7) 7 stable stable trend -15.2 (-51.2, 47.3)
Forest County 6,10 69.1 (41.2, 121.7) 4 stable stable trend 0.9 (-31.4, 48.5)
Fulton County 6,10 33.8 (19.9, 55.0) 4 stable stable trend 11.7 (-38.4, 102.8)
Sullivan County 6,10 62.6 (36.5, 107.9) 4 rising rising trend 36.7 (13.7, 64.4)
Cameron County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/25/2016 11:55 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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

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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