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Incidence Rates Table

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Incidence Rate Report for New York by County

Lung & Bronchus, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
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 descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
New York 6,10 *** 60.2 (59.8, 60.7) 13,737 stable stable trend -1.6 (-3.2, 0.0)
US (SEER+NPCR) 1,10 *** 60.2 (60.1, 60.3) 217,545 falling falling trend -2.1 (-2.6, -1.7)
Queens County 6,10 *** 45.5 (44.3, 46.7) 1,153 stable stable trend -3.0 (-6.2, 0.3)
Kings County 6,10 *** 48.2 (47.0, 49.5) 1,231 stable stable trend -2.1 (-4.7, 0.6)
Bronx County 6,10 *** 48.7 (47.0, 50.4) 646 stable stable trend -3.6 (-8.2, 1.2)
Rockland County 6,10 *** 49.4 (46.2, 52.7) 181 stable stable trend -1.7 (-6.0, 2.8)
New York County 6,10 *** 49.7 (48.2, 51.2) 906 stable stable trend -2.5 (-5.2, 0.3)
Westchester County 6,10 *** 49.9 (48.1, 51.8) 597 falling falling trend -3.4 (-5.5, -1.3)
Tompkins County 6,10 *** 55.7 (49.2, 62.9) 56 stable stable trend -3.3 (-16.9, 12.6)
Nassau County 6,10 *** 56.3 (54.7, 57.9) 977 stable stable trend -3.8 (-8.1, 0.8)
Lewis County 6,10 *** 60.3 (49.3, 73.1) 22 stable stable trend -12.6 (-29.5, 8.5)
Otsego County 6,10 *** 61.6 (54.2, 69.8) 53 stable stable trend -10.0 (-25.4, 8.6)
Dutchess County 6,10 *** 61.7 (58.1, 65.5) 225 stable stable trend -2.7 (-8.6, 3.5)
Monroe County 6,10 *** 62.4 (60.1, 64.8) 565 stable stable trend -0.9 (-4.5, 2.8)
Putnam County 6,10 *** 62.9 (56.5, 69.8) 75 stable stable trend -1.3 (-15.3, 15.0)
Broome County 6,10 *** 63.8 (59.4, 68.4) 166 stable stable trend 1.9 (-5.9, 10.3)
Tioga County 6,10 *** 64.3 (56.0, 73.5) 45 stable stable trend -0.6 (-8.0, 7.3)
Richmond County 6,10 *** 64.7 (61.7, 67.9) 352 stable stable trend 2.1 (-3.1, 7.6)
Schoharie County 6,10 *** 65.0 (54.8, 76.9) 30 stable stable trend 9.4 (-12.9, 37.4)
Orange County 6,10 *** 66.6 (62.9, 70.5) 252 stable stable trend -3.3 (-12.5, 6.9)
Suffolk County 6,10 *** 66.7 (65.0, 68.5) 1,194 stable stable trend -1.9 (-4.7, 1.0)
Delaware County 6,10 *** 67.6 (59.4, 76.7) 52 stable stable trend 2.5 (-1.6, 6.7)
Chautauqua County 6,10 *** 67.9 (62.5, 73.6) 123 stable stable trend 0.7 (-11.2, 14.2)
Yates County 6,10 *** 68.2 (56.4, 82.1) 24 stable stable trend -2.7 (-11.3, 6.7)
Ulster County 6,10 *** 68.6 (64.0, 73.6) 167 stable stable trend 1.3 (-8.0, 11.6)
Sullivan County 6,10 *** 68.7 (61.5, 76.6) 69 stable stable trend 1.3 (-6.5, 9.7)
Schenectady County 6,10 *** 69.4 (64.1, 74.9) 136 stable stable trend 0.6 (-14.4, 18.1)
Livingston County 6,10 *** 69.5 (61.4, 78.5) 55 stable stable trend 6.4 (-1.7, 15.2)
Saratoga County 6,10 *** 70.8 (66.3, 75.5) 195 rising rising trend 6.0 (1.2, 10.9)
Essex County 6,10 *** 71.2 (62.0, 81.7) 44 stable stable trend 7.3 (-18.0, 40.5)
Chenango County 6,10 *** 71.5 (62.8, 81.2) 51 stable stable trend -5.2 (-15.8, 6.7)
Albany County 6,10 *** 72.2 (68.3, 76.3) 263 stable stable trend -0.5 (-8.8, 8.5)
St. Lawrence County 6,10 *** 72.6 (66.2, 79.4) 99 stable stable trend -3.4 (-13.6, 8.0)
Wyoming County 6,10 *** 72.9 (62.5, 84.5) 37 stable stable trend -0.2 (-16.1, 18.7)
Chemung County 6,10 *** 73.1 (66.2, 80.6) 85 stable stable trend -4.4 (-14.0, 6.2)
Cattaraugus County 6,10 *** 73.9 (66.6, 81.9) 78 stable stable trend -6.0 (-18.0, 7.9)
Wayne County 6,10 *** 74.0 (67.1, 81.4) 88 stable stable trend 0.2 (-9.9, 11.5)
Erie County 6,10 *** 74.6 (72.4, 76.9) 890 stable stable trend -2.1 (-4.9, 0.8)
Schuyler County 6,10 *** 74.7 (60.8, 91.4) 21 stable stable trend 4.3 (-24.3, 43.9)
Ontario County 6,10 *** 74.7 (68.5, 81.4) 111 stable stable trend 2.2 (-14.5, 22.1)
Genesee County 6,10 *** 75.2 (66.8, 84.4) 60 stable stable trend -3.1 (-18.2, 14.7)
Madison County 6,10 *** 75.7 (67.8, 84.2) 70 stable stable trend 4.5 (-2.2, 11.8)
Onondaga County 6,10 *** 76.1 (72.9, 79.5) 433 stable stable trend 0.4 (-2.9, 3.8)
Cortland County 6,10 *** 76.5 (66.5, 87.6) 43 stable stable trend -3.2 (-13.2, 8.0)
Franklin County 6,10 *** 77.8 (67.9, 88.7) 46 stable stable trend 4.0 (-10.3, 20.6)
Oneida County 6,10 *** 78.0 (73.6, 82.6) 242 stable stable trend -2.2 (-6.0, 1.7)
Steuben County 6,10 *** 78.2 (71.5, 85.4) 104 stable stable trend -0.6 (-3.5, 2.3)
Montgomery County 6,10 *** 78.3 (68.9, 88.8) 53 stable stable trend -5.8 (-19.8, 10.7)
Herkimer County 6,10 *** 78.7 (70.5, 87.6) 71 stable stable trend 2.5 (-0.5, 5.6)
Allegany County 6,10 *** 78.8 (69.1, 89.5) 49 stable stable trend -4.5 (-18.4, 11.8)
Warren County 6,10 *** 79.6 (71.7, 88.3) 77 rising rising trend 7.0 (5.1, 8.9)
Cayuga County 6,10 *** 79.6 (72.0, 87.9) 83 stable stable trend 6.8 (-7.6, 23.5)
Columbia County 6,10 *** 79.9 (72.0, 88.6) 78 stable stable trend -2.1 (-12.1, 9.2)
Washington County 6,10 *** 80.2 (71.6, 89.5) 66 stable stable trend -3.9 (-9.5, 2.1)
Seneca County 6,10 *** 80.8 (69.5, 93.6) 38 stable stable trend -0.8 (-18.6, 20.9)
Niagara County 6,10 *** 82.5 (77.9, 87.5) 240 stable stable trend 1.8 (-10.1, 15.2)
Hamilton County 6,10 *** 83.4 (58.2, 120.4) 8 stable stable trend 7.2 (-33.4, 72.4)
Greene County 6,10 *** 83.5 (74.2, 93.8) 61 stable stable trend -2.0 (-10.9, 7.8)
Orleans County 6,10 *** 85.0 (74.0, 97.2) 45 stable stable trend -2.8 (-19.5, 17.3)
Fulton County 6,10 *** 85.3 (76.1, 95.4) 64 stable stable trend 3.4 (-6.4, 14.3)
Rensselaer County 6,10 *** 85.8 (79.9, 92.0) 166 stable stable trend 0.8 (-4.7, 6.6)
Jefferson County 6,10 *** 86.3 (78.7, 94.4) 98 stable stable trend 4.2 (-2.2, 11.0)
Clinton County 6,10 *** 92.9 (84.5, 101.9) 92 stable stable trend -5.7 (-14.5, 4.0)
Oswego County 6,10 *** 95.5 (88.2, 103.1) 136 stable stable trend 0.1 (-2.1, 2.4)
Notes:
Created by statecancerprofiles.cancer.gov on 06/22/2018 9:26 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.


1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission and SEER November 2017 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 2017 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 1969-2016 US Population Data File is used with NPCR November 2017 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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