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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), Both Sexes, All Ages

Sorted by Name
County
 sort alphabetically by name descending
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 *** 60.6 (60.2, 61.1) 13,588 falling falling trend -2.0 (-3.4, -0.5)
US (SEER+NPCR) 1,10 *** 61.2 (61.1, 61.3) 215,604 falling falling trend -2.2 (-2.7, -1.6)
Albany County 6,10 *** 69.8 (65.9, 73.9) 251 stable stable trend -2.1 (-8.4, 4.7)
Allegany County 6,10 *** 79.3 (69.5, 90.3) 48 stable stable trend -3.4 (-17.9, 13.5)
Bronx County 6,10 *** 49.4 (47.7, 51.2) 643 stable stable trend -2.4 (-7.8, 3.3)
Broome County 6,10 *** 61.6 (57.3, 66.2) 160 stable stable trend 3.9 (-5.3, 14.1)
Cattaraugus County 6,10 *** 74.1 (66.7, 82.2) 76 stable stable trend -7.9 (-20.3, 6.4)
Cayuga County 6,10 *** 77.3 (69.8, 85.5) 80 stable stable trend 5.3 (-9.6, 22.6)
Chautauqua County 6,10 *** 65.8 (60.6, 71.5) 119 stable stable trend -2.2 (-11.7, 8.5)
Chemung County 6,10 *** 73.3 (66.3, 80.8) 84 stable stable trend -3.5 (-14.4, 8.8)
Chenango County 6,10 *** 72.2 (63.4, 82.0) 50 falling falling trend -6.8 (-12.2, -1.0)
Clinton County 6,10 *** 97.5 (88.8, 106.9) 94 stable stable trend -6.0 (-14.1, 2.9)
Columbia County 6,10 *** 79.8 (71.8, 88.5) 76 stable stable trend 1.7 (-9.2, 14.0)
Cortland County 6,10 *** 75.1 (65.1, 86.3) 42 stable stable trend -3.4 (-14.5, 9.1)
Delaware County 6,10 *** 67.8 (59.5, 77.1) 51 stable stable trend -1.3 (-6.3, 4.1)
Dutchess County 6,10 *** 61.8 (58.2, 65.7) 220 stable stable trend -4.3 (-8.4, 0.0)
Erie County 6,10 *** 75.2 (73.0, 77.5) 885 stable stable trend -0.9 (-4.3, 2.7)
Essex County 6,10 *** 67.2 (58.1, 77.6) 40 stable stable trend -6.5 (-25.5, 17.4)
Franklin County 6,10 *** 78.9 (69.1, 89.8) 47 stable stable trend -1.6 (-16.0, 15.3)
Fulton County 6,10 *** 84.1 (74.8, 94.3) 62 stable stable trend 4.8 (-2.6, 12.8)
Genesee County 6,10 *** 76.3 (67.8, 85.8) 59 stable stable trend -8.9 (-17.3, 0.2)
Greene County 6,10 *** 78.2 (69.2, 88.3) 56 stable stable trend 6.7 (-14.1, 32.4)
Hamilton County 6,10 *** 69.9 (47.5, 104.2) 7 stable stable trend 22.8 (-39.9, 150.9)
Herkimer County 6,10 *** 77.6 (69.5, 86.5) 69 stable stable trend 2.3 (-2.0, 6.8)
Jefferson County 6,10 *** 80.8 (73.5, 88.7) 91 stable stable trend 3.2 (-2.0, 8.6)
Kings County 6,10 *** 48.6 (47.4, 49.9) 1,221 stable stable trend -1.4 (-4.4, 1.7)
Lewis County 6,10 *** 66.4 (54.8, 79.9) 23 stable stable trend -10.4 (-28.4, 12.2)
Livingston County 6,10 *** 66.1 (58.2, 74.9) 52 stable stable trend 0.8 (-6.8, 9.1)
Madison County 6,10 *** 79.5 (71.3, 88.4) 71 stable stable trend -2.1 (-15.2, 13.0)
Monroe County 6,10 *** 63.5 (61.1, 65.9) 564 falling falling trend -3.8 (-5.2, -2.3)
Montgomery County 6,10 *** 74.6 (65.4, 84.7) 50 stable stable trend -2.3 (-27.4, 31.5)
Nassau County 6,10 *** 57.3 (55.6, 58.9) 982 stable stable trend -4.0 (-8.7, 0.8)
New York County 6,10 *** 49.9 (48.5, 51.4) 896 stable stable trend -0.9 (-4.7, 2.9)
Niagara County 6,10 *** 81.1 (76.4, 86.0) 233 stable stable trend 0.4 (-11.5, 14.0)
Oneida County 6,10 *** 78.9 (74.5, 83.6) 244 stable stable trend -2.2 (-5.9, 1.5)
Onondaga County 6,10 *** 76.6 (73.3, 79.9) 429 stable stable trend -1.4 (-5.1, 2.4)
Ontario County 6,10 *** 71.1 (64.9, 77.7) 103 stable stable trend -3.7 (-15.8, 10.1)
Orange County 6,10 *** 67.8 (64.0, 71.7) 252 stable stable trend 0.7 (-7.7, 9.8)
Orleans County 6,10 *** 91.3 (79.8, 104.0) 47 stable stable trend -0.2 (-8.0, 8.2)
Oswego County 6,10 *** 94.9 (87.6, 102.6) 132 stable stable trend -0.4 (-2.4, 1.6)
Otsego County 6,10 *** 65.3 (57.6, 73.8) 55 stable stable trend -6.1 (-23.3, 14.9)
Putnam County 6,10 *** 66.1 (59.5, 73.3) 77 falling falling trend -12.4 (-17.9, -6.5)
Queens County 6,10 *** 46.2 (45.0, 47.5) 1,147 falling falling trend -3.7 (-5.9, -1.4)
Rensselaer County 6,10 *** 84.2 (78.3, 90.4) 160 stable stable trend 1.4 (-4.2, 7.3)
Richmond County 6,10 *** 64.9 (61.8, 68.1) 344 stable stable trend -0.1 (-7.0, 7.3)
Rockland County 6,10 *** 48.4 (45.2, 51.7) 174 stable stable trend -0.5 (-7.7, 7.2)
Saratoga County 6,10 *** 70.7 (66.1, 75.4) 189 stable stable trend -1.8 (-12.8, 10.5)
Schenectady County 6,10 *** 65.7 (60.6, 71.1) 128 stable stable trend -3.6 (-14.5, 8.7)
Schoharie County 6,10 *** 62.3 (52.2, 74.0) 28 stable stable trend 8.8 (-14.7, 38.8)
Schuyler County 6,10 *** 73.0 (59.1, 89.7) 20 stable stable trend 11.6 (-13.1, 43.5)
Seneca County 6,10 *** 79.3 (67.9, 92.1) 36 stable stable trend -1.0 (-19.3, 21.6)
St. Lawrence County 6,10 *** 77.4 (70.8, 84.5) 104 stable stable trend -6.3 (-16.8, 5.6)
Steuben County 6,10 *** 79.2 (72.4, 86.5) 104 stable stable trend -2.4 (-5.1, 0.3)
Suffolk County 6,10 *** 67.7 (65.9, 69.4) 1,186 stable stable trend -2.0 (-4.7, 0.8)
Sullivan County 6,10 *** 70.0 (62.6, 78.0) 70 stable stable trend -0.1 (-9.2, 9.8)
Tioga County 6,10 *** 65.1 (56.8, 74.4) 45 stable stable trend 0.8 (-5.1, 7.0)
Tompkins County 6,10 *** 52.9 (46.4, 60.0) 51 stable stable trend -4.1 (-21.4, 17.1)
Ulster County 6,10 *** 69.4 (64.6, 74.4) 164 stable stable trend -0.8 (-11.1, 10.8)
Warren County 6,10 *** 76.2 (68.4, 84.8) 72 rising rising trend 6.2 (3.6, 8.8)
Washington County 6,10 *** 83.4 (74.6, 93.0) 68 falling falling trend -6.7 (-10.6, -2.6)
Wayne County 6,10 *** 72.1 (65.3, 79.5) 85 stable stable trend 4.2 (-7.3, 17.1)
Westchester County 6,10 *** 52.0 (50.1, 53.9) 610 falling falling trend -3.8 (-6.4, -1.2)
Wyoming County 6,10 *** 70.6 (60.5, 82.1) 36 stable stable trend 3.3 (-14.5, 24.8)
Yates County 6,10 *** 71.0 (58.8, 85.3) 24 stable stable trend -1.9 (-10.0, 6.9)
Notes:
Created by statecancerprofiles.cancer.gov on 08/24/2017 4:26 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 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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