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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 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
New York 6,10 54.7 (54.1, 55.3) 6,779 stable stable trend -0.7 (-1.4, 0.1)
US (SEER+NPCR) 1,10 53.4 (53.2, 53.5) 100,643 falling falling trend -1.8 (-2.5, -1.1)
Clinton County 6,10 91.6 (80.0, 104.5) 46 stable stable trend 3.4 (-17.0, 28.7)
Oswego County 6,10 86.2 (76.7, 96.6) 62 stable stable trend 2.2 (-11.8, 18.3)
Orleans County 6,10 83.5 (68.7, 100.8) 23 stable stable trend 8.7 (-12.2, 34.6)
Montgomery County 6,10 77.2 (64.4, 92.0) 27 stable stable trend -5.0 (-25.6, 21.3)
Rensselaer County 6,10 77.2 (69.6, 85.4) 78 stable stable trend 3.5 (-8.1, 16.5)
Hamilton County 6,10 76.7 (42.5, 137.4) 3
*
*
Washington County 6,10 76.1 (64.6, 89.2) 32 stable stable trend -9.2 (-21.6, 5.2)
Fulton County 6,10 75.1 (63.4, 88.7) 30 stable stable trend -0.6 (-4.5, 3.5)
Columbia County 6,10 72.7 (62.3, 84.7) 36 stable stable trend 13.4 (-1.3, 30.4)
Jefferson County 6,10 72.7 (63.2, 83.2) 43 stable stable trend 8.9 (-1.1, 19.9)
Seneca County 6,10 71.2 (56.1, 89.3) 16 stable stable trend 1.5 (-22.2, 32.5)
Oneida County 6,10 71.0 (65.3, 77.2) 118 stable stable trend 0.9 (-10.6, 13.9)
St. Lawrence County 6,10 70.0 (61.4, 79.6) 49 stable stable trend -6.4 (-15.0, 3.0)
Onondaga County 6,10 69.9 (65.7, 74.4) 214 stable stable trend -2.5 (-8.1, 3.4)
Madison County 6,10 69.9 (59.5, 81.8) 33 stable stable trend 7.0 (-12.9, 31.4)
Ontario County 6,10 69.7 (61.3, 79.1) 52 stable stable trend 6.3 (-12.9, 29.8)
Franklin County 6,10 69.7 (57.0, 84.5) 22 stable stable trend -9.1 (-34.1, 25.4)
Chemung County 6,10 69.1 (59.9, 79.6) 42 stable stable trend 6.3 (-0.5, 13.5)
Niagara County 6,10 69.1 (63.3, 75.4) 108 stable stable trend 0.4 (-12.5, 15.3)
Wayne County 6,10 69.0 (59.9, 79.3) 42 stable stable trend 16.7 (-0.8, 37.3)
Steuben County 6,10 68.7 (60.1, 78.4) 47 stable stable trend -0.3 (-8.7, 8.8)
Erie County 6,10 68.5 (65.7, 71.5) 447 stable stable trend 0.0 (-1.5, 1.6)
Chenango County 6,10 67.9 (56.1, 81.8) 24 stable stable trend 4.6 (-5.4, 15.6)
Cortland County 6,10 67.7 (54.8, 82.9) 20 stable stable trend -14.5 (-30.1, 4.5)
Sullivan County 6,10 67.5 (57.5, 79.0) 34 falling falling trend -8.1 (-13.4, -2.5)
Genesee County 6,10 67.5 (56.5, 80.2) 28 stable stable trend 1.7 (-6.7, 10.8)
Cayuga County 6,10 67.1 (57.5, 78.0) 37 stable stable trend -0.7 (-20.2, 23.6)
Allegany County 6,10 66.8 (54.4, 81.5) 21 stable stable trend 3.0 (-25.8, 42.9)
Herkimer County 6,10 66.6 (56.2, 78.5) 31 stable stable trend 7.7 (-18.0, 41.3)
Suffolk County 6,10 65.9 (63.6, 68.3) 626 stable stable trend -2.1 (-5.5, 1.5)
Albany County 6,10 65.7 (60.7, 71.2) 130 stable stable trend -3.9 (-11.0, 3.8)
Ulster County 6,10 65.0 (58.7, 71.9) 81 stable stable trend 1.1 (-13.5, 18.2)
Saratoga County 6,10 64.9 (59.0, 71.3) 92 stable stable trend -2.1 (-13.2, 10.4)
Essex County 6,10 64.2 (51.6, 79.5) 19 stable stable trend 1.0 (-29.6, 44.8)
Wyoming County 6,10 64.1 (50.7, 80.2) 16 stable stable trend 8.3 (-3.2, 21.2)
Putnam County 6,10 64.0 (55.1, 74.0) 39 stable stable trend -11.4 (-33.2, 17.6)
Cattaraugus County 6,10 63.8 (54.3, 74.6) 34 stable stable trend 0.9 (-26.0, 37.7)
Orange County 6,10 62.2 (57.4, 67.4) 125 stable stable trend -2.3 (-8.0, 3.8)
Tioga County 6,10 61.7 (50.6, 74.9) 22 stable stable trend -1.4 (-21.1, 23.1)
Schuyler County 6,10 61.2 (44.1, 83.9) 9 stable stable trend 1.3 (-18.9, 26.6)
Delaware County 6,10 61.1 (49.9, 74.4) 22 stable stable trend 1.4 (-5.9, 9.2)
Chautauqua County 6,10 61.1 (54.1, 68.7) 59 stable stable trend -5.2 (-25.4, 20.3)
Schenectady County 6,10 60.8 (54.2, 68.0) 66 stable stable trend 2.7 (-2.8, 8.4)
Greene County 6,10 60.7 (49.8, 73.6) 23 stable stable trend 9.8 (-8.4, 31.6)
Dutchess County 6,10 59.6 (54.7, 64.9) 112 stable stable trend -7.8 (-17.7, 3.3)
Yates County 6,10 59.4 (44.2, 78.7) 11 stable stable trend -13.4 (-34.7, 14.9)
Monroe County 6,10 58.3 (55.3, 61.5) 286 stable stable trend -2.1 (-6.7, 2.7)
Tompkins County 6,10 58.2 (48.9, 68.7) 29 stable stable trend -3.2 (-19.9, 17.0)
Warren County 6,10 57.5 (48.2, 68.2) 29 stable stable trend 5.2 (-15.5, 31.0)
Livingston County 6,10 57.4 (47.4, 69.2) 24 stable stable trend -8.2 (-21.8, 7.8)
Otsego County 6,10 57.1 (47.2, 68.8) 25 stable stable trend 4.8 (-37.3, 75.1)
Richmond County 6,10 56.5 (52.6, 60.6) 163 stable stable trend -2.5 (-6.5, 1.7)
Broome County 6,10 55.6 (50.1, 61.7) 78 stable stable trend 7.0 (-3.5, 18.6)
Nassau County 6,10 55.6 (53.4, 57.8) 533 stable stable trend -0.4 (-6.2, 5.8)
Schoharie County 6,10 54.9 (41.8, 71.3) 12 stable stable trend -5.6 (-30.1, 27.5)
Westchester County 6,10 50.4 (48.0, 53.0) 334 stable stable trend -2.2 (-7.0, 2.7)
New York County 6,10 47.2 (45.3, 49.2) 484 stable stable trend 1.6 (-3.4, 7.0)
Rockland County 6,10 45.9 (41.8, 50.4) 91 stable stable trend 1.2 (-7.0, 10.2)
Lewis County 6,10 42.5 (30.1, 58.8) 8 stable stable trend -9.7 (-45.8, 50.5)
Bronx County 6,10 41.1 (39.1, 43.2) 312 stable stable trend -2.3 (-8.6, 4.4)
Queens County 6,10 39.6 (38.1, 41.1) 553 falling falling trend -1.6 (-2.8, -0.5)
Kings County 6,10 39.4 (37.9, 40.8) 569 stable stable trend -0.4 (-4.1, 3.3)
Notes:
Created by statecancerprofiles.cancer.gov on 07/24/2016 6:43 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.
* 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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