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Incidence Rates Table

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Incidence Rate Report for New York by County

Lung & Bronchus, 2010-2014

All Races (includes Hispanic), Female, All Ages

Sorted by Count
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count ascending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
New York 6,10 *** 54.2 (53.6, 54.8) 6,816 stable stable trend -1.4 (-2.9, 0.0)
US (SEER+NPCR) 1,10 *** 52.6 (52.5, 52.8) 101,519 falling falling trend -1.5 (-2.2, -0.8)
Suffolk County 6,10 *** 64.6 (62.3, 66.9) 626 stable stable trend -1.0 (-3.7, 1.7)
Kings County 6,10 *** 38.7 (37.3, 40.2) 569 stable stable trend -0.9 (-5.8, 4.2)
Queens County 6,10 *** 38.9 (37.4, 40.4) 551 falling falling trend -2.6 (-3.7, -1.5)
Nassau County 6,10 *** 54.8 (52.6, 56.9) 529 stable stable trend -4.1 (-9.1, 1.3)
New York County 6,10 *** 47.3 (45.4, 49.2) 490 stable stable trend -1.1 (-7.1, 5.1)
Erie County 6,10 *** 67.7 (64.8, 70.6) 446 stable stable trend -0.5 (-3.3, 2.4)
Westchester County 6,10 *** 49.3 (46.9, 51.8) 330 falling falling trend -4.6 (-7.4, -1.6)
Bronx County 6,10 *** 41.0 (39.0, 43.1) 317 stable stable trend 1.3 (-4.6, 7.6)
Monroe County 6,10 *** 56.8 (53.8, 59.9) 284 falling falling trend -4.7 (-6.9, -2.4)
Onondaga County 6,10 *** 69.6 (65.5, 74.0) 215 stable stable trend 0.6 (-6.5, 8.3)
Richmond County 6,10 *** 56.0 (52.2, 60.0) 166 stable stable trend 0.4 (-2.7, 3.6)
Orange County 6,10 *** 61.9 (57.1, 67.0) 126 stable stable trend -1.1 (-7.1, 5.3)
Albany County 6,10 *** 61.3 (56.5, 66.5) 124 stable stable trend -3.5 (-10.9, 4.5)
Oneida County 6,10 *** 70.8 (65.0, 76.9) 118 stable stable trend -2.1 (-13.5, 10.8)
Dutchess County 6,10 *** 57.3 (52.6, 62.4) 111 stable stable trend -5.9 (-17.1, 6.9)
Niagara County 6,10 *** 68.8 (63.0, 75.1) 108 stable stable trend -3.3 (-14.7, 9.6)
Rockland County 6,10 *** 47.0 (42.8, 51.6) 95 stable stable trend 3.5 (-3.0, 10.5)
Saratoga County 6,10 *** 63.2 (57.4, 69.4) 92 stable stable trend -2.5 (-13.6, 9.9)
Rensselaer County 6,10 *** 80.1 (72.4, 88.4) 83 stable stable trend 2.7 (-7.6, 14.2)
Ulster County 6,10 *** 64.2 (58.0, 71.0) 82 stable stable trend 2.0 (-11.6, 17.8)
Broome County 6,10 *** 55.9 (50.3, 62.0) 79 stable stable trend 5.2 (-8.9, 21.5)
Schenectady County 6,10 *** 59.2 (52.8, 66.3) 66 stable stable trend -0.8 (-11.2, 10.8)
Oswego County 6,10 *** 89.0 (79.4, 99.4) 65 stable stable trend -1.8 (-13.0, 10.8)
Chautauqua County 6,10 *** 59.5 (52.7, 67.1) 57 stable stable trend -6.0 (-24.9, 17.6)
Ontario County 6,10 *** 69.0 (60.7, 78.1) 53 stable stable trend -5.6 (-25.0, 18.8)
St. Lawrence County 6,10 *** 69.8 (61.3, 79.3) 50 stable stable trend -0.0 (-11.1, 12.4)
Steuben County 6,10 *** 69.3 (60.6, 79.0) 48 stable stable trend -3.0 (-8.1, 2.5)
Clinton County 6,10 *** 92.3 (80.8, 105.1) 47 falling falling trend -9.3 (-17.1, -0.8)
Jefferson County 6,10 *** 76.4 (66.8, 87.1) 46 stable stable trend 5.8 (-6.3, 19.5)
Wayne County 6,10 *** 71.2 (62.0, 81.5) 44 stable stable trend 8.1 (-16.1, 39.3)
Chemung County 6,10 *** 66.5 (57.4, 76.7) 41 stable stable trend -2.8 (-20.9, 19.5)
Putnam County 6,10 *** 62.2 (53.6, 71.9) 39 stable stable trend -13.9 (-30.0, 6.0)
Cayuga County 6,10 *** 68.2 (58.6, 79.2) 38 stable stable trend 3.8 (-15.7, 27.8)
Columbia County 6,10 *** 75.9 (65.3, 88.1) 37 stable stable trend -0.8 (-15.9, 17.1)
Cattaraugus County 6,10 *** 68.3 (58.4, 79.5) 36 stable stable trend -3.9 (-24.7, 22.7)
Madison County 6,10 *** 75.4 (64.6, 87.6) 36 stable stable trend 5.3 (-13.0, 27.4)
Herkimer County 6,10 *** 73.1 (62.4, 85.4) 35 stable stable trend 2.9 (-17.3, 28.1)
Sullivan County 6,10 *** 64.7 (55.0, 75.7) 33 stable stable trend -4.7 (-11.9, 3.1)
Warren County 6,10 *** 63.8 (54.2, 74.9) 33 stable stable trend 12.6 (-7.3, 36.8)
Fulton County 6,10 *** 80.6 (68.4, 94.6) 32 stable stable trend 5.8 (-6.4, 19.6)
Washington County 6,10 *** 70.3 (59.3, 83.0) 30 falling falling trend -15.0 (-20.1, -9.6)
Genesee County 6,10 *** 70.1 (59.0, 82.9) 30 stable stable trend 5.8 (-2.6, 15.0)
Tompkins County 6,10 *** 50.7 (42.2, 60.5) 26 stable stable trend -7.4 (-27.9, 18.9)
Otsego County 6,10 *** 59.4 (49.3, 71.2) 26 stable stable trend -5.2 (-36.3, 41.0)
Greene County 6,10 *** 67.2 (55.8, 80.6) 26 stable stable trend 11.2 (-5.8, 31.3)
Chenango County 6,10 *** 68.8 (57.1, 82.5) 25 stable stable trend -4.5 (-15.2, 7.6)
Montgomery County 6,10 *** 67.6 (55.8, 81.4) 25 stable stable trend -5.3 (-28.3, 25.0)
Orleans County 6,10 *** 89.4 (74.1, 107.3) 25 stable stable trend -1.6 (-11.1, 9.0)
Delaware County 6,10 *** 62.4 (51.1, 75.8) 23 stable stable trend 0.8 (-6.5, 8.8)
Livingston County 6,10 *** 53.7 (44.1, 65.0) 23 stable stable trend 1.5 (-7.3, 11.3)
Tioga County 6,10 *** 62.2 (51.2, 75.3) 23 stable stable trend 4.9 (-15.1, 29.4)
Franklin County 6,10 *** 69.3 (56.8, 84.0) 22 stable stable trend -0.3 (-26.6, 35.6)
Allegany County 6,10 *** 68.2 (55.7, 82.8) 22 stable stable trend -0.2 (-28.0, 38.4)
Essex County 6,10 *** 65.8 (53.1, 81.3) 20 stable stable trend -9.4 (-26.1, 11.0)
Cortland County 6,10 *** 61.7 (49.6, 76.0) 19 stable stable trend -1.8 (-16.5, 15.4)
Wyoming County 6,10 *** 71.3 (57.3, 88.0) 19 rising rising trend 13.5 (3.3, 24.7)
Seneca County 6,10 *** 71.6 (56.5, 89.9) 16 stable stable trend -2.7 (-23.3, 23.5)
Schoharie County 6,10 *** 57.0 (43.8, 73.3) 13 stable stable trend 17.2 (-3.0, 41.5)
Yates County 6,10 *** 65.9 (50.0, 85.7) 12 stable stable trend -0.3 (-30.4, 42.6)
Schuyler County 6,10 *** 67.1 (49.3, 90.5) 10 stable stable trend 4.5 (-16.0, 30.2)
Lewis County 6,10 *** 39.5 (27.7, 55.2) 7 falling falling trend -28.1 (-43.4, -8.7)
Hamilton County 6,10 *
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/21/2017 9:48 am.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

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 1969-2015 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.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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 2016 data submission and SEER November 2016 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 2016 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 1969-2015 US Population Data File is used with NPCR November 2016 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.

Data for United States does not include Puerto Rico.

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