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Incidence Rates Table

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Incidence Rate Report for by County

Lung & Bronchus, 2008-2012

All Races (includes Hispanic), Both Sexes, 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 ratedescending
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 62.9 (62.4, 63.4) 13,627 falling falling trend -2.0 (-2.8, -1.1)
US (SEER+NPCR) 1,10 63.7 (63.6, 63.8) 213,812 § falling falling trend -2.7 (-3.1, -2.3)
Queens County 6,10 49.5 (48.2, 50.8) 1,179 falling falling trend -2.8 (-4.9, -0.8)
Kings County 6,10 49.6 (48.4, 50.9) 1,209 stable stable trend 0.2 (-1.7, 2.1)
New York County 6,10 51.1 (49.6, 52.6) 890 stable stable trend -2.1 (-5.7, 1.8)
Bronx County 6,10 51.8 (50.0, 53.6) 645 stable stable trend -1.7 (-6.1, 2.8)
Rockland County 6,10 54.2 (50.8, 57.8) 187 stable stable trend -9.0 (-19.5, 2.9)
Westchester County 6,10 54.7 (52.8, 56.7) 619 stable stable trend -3.2 (-6.4, 0.1)
Tompkins County 6,10 57.8 (50.8, 65.4) 52 stable stable trend 1.5 (-10.5, 15.2)
Nassau County 6,10 60.2 (58.6, 62.0) 1,011 stable stable trend -2.6 (-8.4, 3.6)
Broome County 6,10 60.7 (56.4, 65.2) 157 stable stable trend -2.1 (-9.6, 6.1)
Hamilton County 6,10 61.1 (40.1, 93.9) 6
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Lewis County 6,10 64.2 (52.6, 77.7) 22 stable stable trend 3.2 (-26.6, 45.1)
Schoharie County 6,10 64.7 (54.2, 76.8) 28 falling falling trend -15.2 (-25.5, -3.5)
Dutchess County 6,10 65.5 (61.7, 69.5) 223 stable stable trend 0.2 (-4.7, 5.3)
Richmond County 6,10 65.9 (62.7, 69.2) 335 stable stable trend -4.7 (-12.6, 4.0)
Monroe County 6,10 67.2 (64.7, 69.7) 577 falling falling trend -2.6 (-4.8, -0.2)
Livingston County 6,10 67.3 (59.1, 76.3) 51 stable stable trend 0.3 (-11.7, 13.9)
Otsego County 6,10 67.6 (59.6, 76.3) 55 rising rising trend 10.9 (0.3, 22.7)
Putnam County 6,10 68.5 (61.5, 76.1) 74 stable stable trend 1.5 (-17.8, 25.4)
Delaware County 6,10 68.9 (60.6, 78.3) 51 stable stable trend -4.5 (-9.4, 0.7)
Ulster County 6,10 69.5 (64.6, 74.6) 157 stable stable trend -1.8 (-9.7, 6.8)
Ontario County 6,10 69.9 (63.7, 76.6) 96 stable stable trend 0.4 (-7.7, 9.2)
Tioga County 6,10 70.0 (61.2, 79.8) 46 stable stable trend -8.2 (-15.8, 0.0)
Suffolk County 6,10 70.6 (68.8, 72.5) 1,185 falling falling trend -3.4 (-6.2, -0.4)
Orange County 6,10 70.7 (66.7, 74.8) 252 stable stable trend -2.0 (-11.4, 8.3)
Warren County 6,10 70.8 (63.1, 79.2) 65 stable stable trend -0.5 (-4.7, 3.9)
Wayne County 6,10 71.6 (64.6, 79.0) 81 stable stable trend -3.4 (-11.8, 5.8)
Essex County 6,10 72.1 (62.4, 83.0) 41 stable stable trend 3.5 (-14.0, 24.5)
Chenango County 6,10 72.3 (63.4, 82.2) 49 stable stable trend 2.1 (-6.9, 12.0)
Herkimer County 6,10 72.6 (64.7, 81.3) 64 stable stable trend 2.4 (-11.3, 18.2)
Chautauqua County 6,10 72.8 (67.2, 78.8) 129 stable stable trend -4.7 (-10.9, 1.9)
Schenectady County 6,10 73.7 (68.2, 79.5) 139 stable stable trend -4.3 (-13.1, 5.3)
Saratoga County 6,10 73.7 (69.0, 78.7) 189 stable stable trend -5.7 (-14.2, 3.6)
Wyoming County 6,10 74.4 (63.7, 86.3) 36 stable stable trend -6.0 (-20.5, 11.1)
Albany County 6,10 74.6 (70.5, 78.8) 261 stable stable trend -1.3 (-8.4, 6.3)
Sullivan County 6,10 74.9 (67.2, 83.2) 73 falling falling trend -11.3 (-15.8, -6.6)
Allegany County 6,10 75.3 (65.6, 86.2) 44 stable stable trend 2.3 (-16.8, 25.9)
Yates County 6,10 75.4 (62.6, 90.3) 25 stable stable trend -4.7 (-10.0, 0.8)
Erie County 6,10 75.8 (73.5, 78.1) 877 stable stable trend 0.6 (-1.0, 2.2)
Niagara County 6,10 76.0 (71.4, 80.8) 212 stable stable trend 1.0 (-6.6, 9.2)
Columbia County 6,10 76.1 (68.2, 84.8) 70 stable stable trend 1.0 (-4.5, 6.7)
Fulton County 6,10 77.0 (68.1, 86.8) 55 stable stable trend 4.0 (-4.4, 13.2)
Cayuga County 6,10 77.5 (70.0, 85.8) 79 stable stable trend -3.1 (-20.0, 17.4)
Greene County 6,10 80.0 (70.7, 90.3) 55 stable stable trend -2.3 (-26.2, 29.2)
Onondaga County 6,10 80.1 (76.7, 83.6) 434 stable stable trend -2.7 (-5.8, 0.6)
Cattaraugus County 6,10 80.1 (72.3, 88.5) 81 stable stable trend -1.4 (-13.9, 13.0)
Chemung County 6,10 80.2 (72.9, 88.1) 91 stable stable trend -4.1 (-12.0, 4.4)
Madison County 6,10 80.2 (71.8, 89.4) 68 stable stable trend -3.6 (-18.4, 13.8)
Steuben County 6,10 80.2 (73.4, 87.6) 103 stable stable trend -0.8 (-4.7, 3.3)
Franklin County 6,10 80.8 (70.7, 92.0) 47 stable stable trend -1.0 (-13.0, 12.5)
Genesee County 6,10 81.0 (72.0, 90.8) 61 stable stable trend 3.2 (-10.3, 18.7)
Schuyler County 6,10 81.4 (66.2, 99.3) 21 stable stable trend -9.5 (-26.3, 11.1)
Oneida County 6,10 81.6 (77.0, 86.4) 247 stable stable trend -0.6 (-2.4, 1.3)
Jefferson County 6,10 81.9 (74.4, 89.9) 89 stable stable trend -2.6 (-13.1, 9.2)
Montgomery County 6,10 83.7 (73.8, 94.7) 54 stable stable trend 1.1 (-18.0, 24.6)
Seneca County 6,10 84.4 (72.5, 97.7) 37 stable stable trend 0.4 (-12.8, 15.5)
Cortland County 6,10 85.6 (74.7, 97.6) 46 stable stable trend -5.7 (-14.8, 4.5)
Rensselaer County 6,10 85.6 (79.6, 92.0) 157 stable stable trend -0.1 (-6.8, 7.0)
St. Lawrence County 6,10 87.5 (80.3, 95.1) 113 stable stable trend -9.6 (-22.5, 5.4)
Orleans County 6,10 88.8 (77.6, 101.4) 46 stable stable trend 1.7 (-9.0, 13.5)
Washington County 6,10 91.4 (82.0, 101.5) 72 stable stable trend -1.9 (-11.5, 8.8)
Oswego County 6,10 92.1 (84.8, 99.8) 123 stable stable trend 2.0 (-2.2, 6.4)
Clinton County 6,10 97.3 (88.4, 106.9) 89 stable stable trend 6.4 (-4.5, 18.4)
Notes:
Created by statecancerprofiles.cancer.gov on 06/28/2016 8:14 pm.
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 1969-2013 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.
§ 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 2015 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 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases 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 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 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 1969-2013 US Population Data File is used with NPCR November 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 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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