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Incidence Rates Table

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Incidence Rate Report for New York by County

All Races (includes Hispanic), Both Sexes, Lung & Bronchus, All Ages
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County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

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Average Annual Count
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Rate Period
Recent Trend
Recent AAPC
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New York 6,10 63.7 (63.2, 64.2) 13,591 2007-2011 falling falling trend -1.7 (-2.7, -0.7)
US (SEER+NPCR) 1,10 64.9 (64.7, 65.0) 212,768 § 2007-2011 falling falling trend -2.7 (-3.8, -1.6)
Suffolk County 6,10 72.9 (71.1, 74.8) 1,197 2007-2011 falling falling trend -2.8 (-5.0, -0.6)
Kings County 6,10 49.6 (48.3, 50.9) 1,194 2007-2011 stable stable trend -1.3 (-3.4, 0.8)
Queens County 6,10 50.4 (49.1, 51.7) 1,183 2007-2011 falling falling trend -1.7 (-3.1, -0.4)
Nassau County 6,10 60.9 (59.2, 62.6) 1,009 2007-2011 stable stable trend 0 (-5.9, 6.3)
New York County 6,10 52.1 (50.5, 53.6) 892 2007-2011 stable stable trend -2.2 (-5.4, 1.1)
Erie County 6,10 75.3 (73.0, 77.6) 869 2007-2011 stable stable trend -0.3 (-1.9, 1.2)
Bronx County 6,10 53.7 (51.9, 55.6) 658 2007-2011 stable stable trend -3.1 (-8.5, 2.7)
Westchester County 6,10 55.8 (53.9, 57.9) 623 2007-2011 stable stable trend -2.8 (-6.2, 0.9)
Monroe County 6,10 67.4 (64.9, 69.9) 569 2007-2011 stable stable trend -0.2 (-4.8, 4.6)
Onondaga County 6,10 81.2 (77.8, 84.8) 434 2007-2011 stable stable trend -1.4 (-4.9, 2.3)
Richmond County 6,10 67.6 (64.4, 71.0) 338 2007-2011 stable stable trend -2.3 (-10.4, 6.4)
Albany County 6,10 74.1 (70.0, 78.4) 257 2007-2011 stable stable trend -0 (-7.8, 8.4)
Orange County 6,10 69.9 (65.9, 74.0) 243 2007-2011 stable stable trend -4.3 (-11.5, 3.6)
Oneida County 6,10 80.8 (76.2, 85.5) 241 2007-2011 stable stable trend -0.5 (-3.3, 2.4)
Dutchess County 6,10 65.2 (61.4, 69.3) 216 2007-2011 stable stable trend 0.2 (-4.5, 5.1)
Niagara County 6,10 78.5 (73.9, 83.4) 216 2007-2011 stable stable trend 0.2 (-7.6, 8.7)
Rockland County 6,10 56.3 (52.8, 60.1) 190 2007-2011 stable stable trend -6.2 (-20.4, 10.5)
Saratoga County 6,10 75.4 (70.6, 80.5) 186 2007-2011 stable stable trend -4.2 (-14.8, 7.7)
Rensselaer County 6,10 87.8 (81.8, 94.3) 159 2007-2011 falling falling trend -5.8 (-11.1, -0.1)
Broome County 6,10 61.2 (56.9, 65.7) 157 2007-2011 stable stable trend -0.6 (-8.3, 7.8)
Ulster County 6,10 67.9 (63.1, 73.0) 151 2007-2011 stable stable trend 1.2 (-9.9, 13.7)
Schenectady County 6,10 75.4 (69.8, 81.3) 141 2007-2011 stable stable trend -4.5 (-13.1, 4.9)
Chautauqua County 6,10 72.5 (66.9, 78.4) 127 2007-2011 stable stable trend -0.1 (-10.7, 11.7)
Oswego County 6,10 95.3 (87.8, 103.2) 124 2007-2011 stable stable trend -3.5 (-13.0, 7.1)
St. Lawrence County 6,10 91.7 (84.3, 99.5) 116 2007-2011 stable stable trend -0.2 (-11.9, 13.0)
Steuben County 6,10 83.5 (76.5, 91.0) 106 2007-2011 stable stable trend -3.8 (-10.2, 3.1)
Ontario County 6,10 73.0 (66.5, 80.0) 96 2007-2011 stable stable trend -1.1 (-10.8, 9.7)
Chemung County 6,10 84.9 (77.4, 93.0) 95 2007-2011 stable stable trend -6.8 (-13.4, 0.2)
Jefferson County 6,10 81.7 (74.1, 89.7) 88 2007-2011 stable stable trend -3.7 (-14.0, 8.0)
Clinton County 6,10 93.2 (84.4, 102.7) 83 2007-2011 stable stable trend 5.5 (-5.1, 17.4)
Wayne County 6,10 72.9 (65.8, 80.5) 81 2007-2011 stable stable trend -4.9 (-12.2, 3.0)
Cattaraugus County 6,10 80.9 (73.1, 89.4) 80 2007-2011 stable stable trend 3.6 (-7.0, 15.4)
Cayuga County 6,10 74.8 (67.4, 83.0) 75 2007-2011 stable stable trend -4.3 (-22.6, 18.3)
Putnam County 6,10 70.2 (63.0, 78.0) 74 2007-2011 stable stable trend 3.6 (-14.0, 24.7)
Sullivan County 6,10 75.9 (68.2, 84.4) 73 2007-2011 stable stable trend -5.3 (-22.0, 15.1)
Washington County 6,10 93.6 (84.0, 103.9) 72 2007-2011 stable stable trend -0 (-8.0, 8.7)
Columbia County 6,10 77.0 (68.9, 85.8) 68 2007-2011 stable stable trend -3.5 (-9.1, 2.6)
Madison County 6,10 81.1 (72.6, 90.4) 68 2007-2011 stable stable trend -3.3 (-19.0, 15.5)
Warren County 6,10 72.1 (64.3, 80.7) 64 2007-2011 falling falling trend -4.4 (-7.5, -1.2)
Herkimer County 6,10 71.3 (63.4, 79.9) 62 2007-2011 stable stable trend -1 (-14.9, 15.3)
Genesee County 6,10 81.2 (72.2, 91.1) 60 2007-2011 stable stable trend 5.5 (-4.4, 16.5)
Fulton County 6,10 79.1 (69.9, 89.1) 56 2007-2011 stable stable trend -5.2 (-16.9, 8.2)
Delaware County 6,10 75.2 (66.4, 85.1) 54 2007-2011 stable stable trend -8 (-15.4, 0.1)
Greene County 6,10 76.0 (66.9, 86.0) 52 2007-2011 stable stable trend -4.4 (-28.6, 28.2)
Otsego County 6,10 64.9 (57.1, 73.5) 52 2007-2011 stable stable trend -1.4 (-13.5, 12.5)
Chenango County 6,10 77.7 (68.4, 88.0) 52 2007-2011 stable stable trend -5 (-19.7, 12.5)
Livingston County 6,10 69.4 (61.1, 78.5) 52 2007-2011 stable stable trend -5 (-17.1, 8.9)
Montgomery County 6,10 78.1 (68.6, 88.6) 51 2007-2011 stable stable trend -0 (-19.7, 24.4)
Tompkins County 6,10 57.1 (50.2, 64.8) 51 2007-2011 stable stable trend -0.7 (-13.5, 14.0)
Tioga County 6,10 74.3 (65.1, 84.4) 48 2007-2011 falling falling trend -8.9 (-16.3, -0.8)
Cortland County 6,10 85.1 (74.2, 97.2) 45 2007-2011 stable stable trend -0.5 (-15.7, 17.4)
Franklin County 6,10 78.5 (68.5, 89.6) 45 2007-2011 stable stable trend 0.6 (-13.5, 17.0)
Allegany County 6,10 76.3 (66.4, 87.3) 44 2007-2011 stable stable trend 8.4 (-3.8, 22.2)
Orleans County 6,10 85.1 (74.1, 97.4) 44 2007-2011 stable stable trend 6.5 (-6.8, 21.8)
Essex County 6,10 69.2 (59.6, 80.0) 38 2007-2011 stable stable trend -4.2 (-18.4, 12.3)
Wyoming County 6,10 73.9 (63.2, 86.0) 35 2007-2011 stable stable trend 1.5 (-17.5, 24.8)
Seneca County 6,10 75.6 (64.4, 88.3) 33 2007-2011 stable stable trend -0.8 (-19.7, 22.4)
Schoharie County 6,10 71.9 (60.7, 84.7) 30 2007-2011 stable stable trend -11.4 (-24.4, 3.8)
Yates County 6,10 69.9 (57.5, 84.4) 23 2007-2011 stable stable trend 9.4 (-18.7, 47.1)
Lewis County 6,10 65.2 (53.4, 79.1) 21 2007-2011 stable stable trend 11.9 (-6.6, 34.1)
Schuyler County 6,10 75.5 (60.8, 93.0) 19 2007-2011 stable stable trend -4.5 (-33.9, 38.0)
Hamilton County 6,10 67.3 (44.6, 101.8) 6 2007-2011 stable stable trend -12.9 (-45.7, 39.5)
Notes:
Created by statecancerprofiles.cancer.gov on 10/20/2014 4:08 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 1969-2012 US Population Data File is used for SEER and NPCR incidence rates.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2013 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2013 submission.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission and SEER November 2013 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
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 1969-2012 US Population Data File is used with NPCR January 2014 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 EAPCs 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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