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Death Rates Table

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Death Rate Report for New York by County

Lung & Bronchus, 2018-2022

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

Sorted by Ruralurban
County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban ascending
Met Healthy People Objective of 25.1?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
New York N/A No 26.9 (26.6, 27.1) N/A 7,113 falling falling trend -5.1 (-5.3, -5.0)
United States N/A No 32.4 (32.3, 32.5) N/A 136,831 falling falling trend -4.3 (-4.4, -4.1)
Albany County Urban No 33.5 (31.0, 36.1) 41 (27, 52) 142 falling falling trend -5.2 (-7.9, -3.7)
Bronx County Urban Yes 21.8 (20.7, 22.9) 57 (55, 59) 340 falling falling trend -5.2 (-7.0, -4.2)
Broome County Urban No 36.7 (33.6, 40.0) 31 (13, 47) 109 falling falling trend -2.2 (-7.3, -1.6)
Chemung County Urban No 48.2 (42.8, 54.1) 3 (1, 20) 61 falling falling trend -1.3 (-1.9, -0.7)
Dutchess County Urban No 30.6 (28.2, 33.1) 51 (38, 54) 130 falling falling trend -3.5 (-4.4, -2.9)
Erie County Urban No 35.4 (34.0, 36.9) 35 (25, 44) 480 falling falling trend -5.5 (-7.1, -4.3)
Herkimer County Urban No 33.5 (28.5, 39.4) 40 (13, 55) 33 falling falling trend -15.1 (-23.5, -3.8)
Jefferson County Urban No 44.4 (39.4, 50.0) 7 (1, 32) 58 falling falling trend -2.4 (-10.1, -1.4)
Kings County Urban Yes 19.1 (18.4, 19.8) 60 (58, 62) 579 falling falling trend -6.8 (-7.8, -5.7)
Livingston County Urban No 35.4 (30.1, 41.6) 34 (9, 53) 33 falling falling trend -14.2 (-25.0, -2.2)
Madison County Urban No 40.9 (35.5, 47.1) 17 (2, 45) 42 falling falling trend -2.1 (-4.2, -1.4)
Monroe County Urban No 31.9 (30.4, 33.5) 49 (37, 52) 331 falling falling trend -4.7 (-6.2, -3.7)
Nassau County Urban Yes 21.3 (20.4, 22.3) 58 (55, 59) 421 falling falling trend -6.0 (-7.4, -5.1)
New York County Urban Yes 17.9 (17.1, 18.8) 62 (59, 62) 395 falling falling trend -7.7 (-9.9, -6.2)
Niagara County Urban No 40.8 (37.7, 44.2) 18 (5, 33) 131 falling falling trend -4.9 (-9.0, -3.0)
Oneida County Urban No 37.5 (34.5, 40.6) 27 (12, 44) 127 falling falling trend -3.9 (-7.3, -2.4)
Onondaga County Urban No 35.5 (33.5, 37.7) 33 (21, 46) 230 falling falling trend -3.5 (-4.5, -2.9)
Ontario County Urban No 32.5 (28.7, 36.7) 46 (23, 54) 57 falling falling trend -4.8 (-9.6, -3.0)
Orange County Urban No 33.4 (31.0, 35.9) 43 (27, 52) 149 falling falling trend -3.8 (-8.0, -2.7)
Orleans County Urban No 52.1 (43.9, 61.7) 1 (1, 24) 30 stable stable trend -0.4 (-1.5, 0.8)
Oswego County Urban No 49.3 (44.3, 54.6) 2 (1, 16) 77 falling falling trend -3.0 (-5.9, -1.8)
Putnam County Urban No 30.0 (26.0, 34.5) 52 (31, 56) 41 falling falling trend -3.9 (-8.7, -2.9)
Queens County Urban Yes 18.2 (17.5, 18.9) 61 (59, 62) 554 falling falling trend -5.9 (-6.8, -5.3)
Rensselaer County Urban No 40.2 (36.5, 44.3) 20 (5, 39) 89 falling falling trend -4.3 (-8.7, -2.7)
Richmond County Urban No 31.5 (29.5, 33.5) 50 (36, 53) 198 falling falling trend -3.5 (-5.7, -2.7)
Rockland County Urban Yes 23.6 (21.5, 25.8) 56 (53, 59) 98 falling falling trend -2.7 (-3.2, -2.2)
Saratoga County Urban No 35.0 (32.2, 38.0) 37 (19, 50) 119 falling falling trend -6.4 (-10.5, -4.1)
Schenectady County Urban No 36.2 (32.6, 40.1) 32 (13, 49) 78 falling falling trend -3.5 (-10.4, -1.9)
Schoharie County Urban No 44.0 (35.7, 54.0) 9 (1, 49) 21 falling falling trend -17.3 (-29.2, -1.7)
Suffolk County Urban No 26.8 (25.8, 27.8) 53 (50, 56) 555 falling falling trend -6.1 (-7.2, -5.3)
Tioga County Urban No 33.3 (27.8, 39.9) 45 (11, 55) 26 falling falling trend -1.9 (-2.6, -1.1)
Tompkins County Urban No 26.5 (22.5, 31.1) 54 (41, 58) 32 falling falling trend -6.0 (-15.2, -2.4)
Ulster County Urban No 32.3 (29.4, 35.6) 47 (28, 53) 92 falling falling trend -5.8 (-10.9, -3.6)
Warren County Urban No 33.4 (28.7, 38.9) 42 (16, 55) 37 falling falling trend -10.2 (-19.2, -2.5)
Washington County Urban No 41.5 (35.8, 48.0) 14 (2, 43) 40 falling falling trend -1.6 (-2.3, -1.0)
Wayne County Urban No 40.8 (36.1, 46.1) 19 (3, 42) 56 falling falling trend -1.3 (-1.9, -0.6)
Westchester County Urban Yes 19.8 (18.8, 20.9) 59 (57, 61) 277 falling falling trend -6.2 (-7.7, -5.1)
Allegany County Rural No 37.2 (31.0, 44.5) 28 (4, 53) 26 falling falling trend -2.6 (-11.2, -1.6)
Cattaraugus County Rural No 41.0 (35.8, 46.7) 16 (2, 44) 48 falling falling trend -1.2 (-1.8, -0.6)
Cayuga County Rural No 38.4 (33.5, 44.0) 25 (5, 49) 46 falling falling trend -1.2 (-2.1, -0.4)
Chautauqua County Rural No 39.5 (35.6, 43.8) 23 (5, 42) 78 falling falling trend -0.7 (-1.3, -0.1)
Chenango County Rural No 37.6 (31.5, 44.8) 26 (4, 53) 28 stable stable trend -4.0 (-7.4, 0.6)
Clinton County Rural No 44.0 (38.7, 50.1) 8 (1, 35) 50 falling falling trend -3.0 (-12.9, -1.1)
Columbia County Rural No 35.4 (30.3, 41.2) 36 (9, 53) 38 falling falling trend -5.5 (-13.3, -2.9)
Cortland County Rural No 40.2 (33.2, 48.4) 22 (1, 51) 24 falling falling trend -1.1 (-1.9, -0.3)
Delaware County Rural No 37.2 (31.2, 44.2) 29 (4, 53) 30 falling falling trend -1.1 (-2.0, -0.2)
Essex County Rural No 41.1 (34.3, 49.2) 15 (1, 50) 28 falling falling trend -1.6 (-2.2, -0.9)
Franklin County Rural No 44.7 (37.7, 52.8) 6 (1, 40) 30 falling falling trend -1.4 (-2.0, -0.9)
Fulton County Rural No 42.2 (36.0, 49.4) 12 (1, 46) 34 falling falling trend -1.4 (-2.0, -0.8)
Genesee County Rural No 40.2 (34.4, 46.9) 21 (2, 48) 35 falling falling trend -1.2 (-1.9, -0.6)
Greene County Rural No 43.4 (37.1, 50.7) 10 (1, 41) 36 falling falling trend -1.8 (-2.4, -1.2)
Hamilton County Rural No 34.6 (21.2, 61.5) 38 (1, 62) 4 stable stable trend -0.7 (-2.5, 1.4)
Lewis County Rural No 26.2 (19.5, 34.6) 55 (27, 62) 11 falling falling trend -2.2 (-3.8, -0.7)
Montgomery County Rural No 42.7 (36.1, 50.3) 11 (1, 45) 31 falling falling trend -1.2 (-2.0, -0.4)
Otsego County Rural No 32.1 (27.0, 38.1) 48 (16, 55) 30 falling falling trend -5.8 (-17.8, -2.2)
Schuyler County Rural No 47.2 (36.4, 60.7) 4 (1, 48) 14 falling falling trend -1.1 (-2.1, -0.2)
Seneca County Rural No 38.6 (31.2, 47.4) 24 (1, 53) 20 falling falling trend -2.5 (-13.2, -1.3)
St. Lawrence County Rural No 41.8 (37.3, 46.8) 13 (3, 37) 64 falling falling trend -4.5 (-7.7, -2.9)
Steuben County Rural No 46.9 (41.9, 52.5) 5 (1, 23) 67 falling falling trend -2.7 (-6.8, -1.5)
Sullivan County Rural No 37.0 (32.1, 42.5) 30 (7, 51) 42 falling falling trend -1.8 (-2.5, -1.1)
Wyoming County Rural No 33.7 (27.4, 41.4) 39 (9, 56) 20 falling falling trend -1.3 (-2.3, -0.4)
Yates County Rural No 33.4 (25.5, 43.2) 44 (4, 58) 13 falling falling trend -2.2 (-3.3, -1.1)
Notes:
Created by statecancerprofiles.cancer.gov on 10/08/2024 6:30 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2030 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The US Population Data File is used with mortality data.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.


Please note that the data comes 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 graph for additional information.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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