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Death Rates Table

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Death Rate Report for New York by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Male, All Ages

Sorted by Rate

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
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 148.7 (147.7, 149.8) N/A 16,646 falling falling trend -2.9 (-3.3, -2.7)
United States N/A No 173.2 (173.0, 173.5) N/A 317,428 falling falling trend -1.8 (-1.8, -1.8)
Schuyler County Rural No 211.1 (176.6, 251.4) 1 (1, 48) 29 falling falling trend -0.8 (-1.4, -0.1)
Chemung County Urban No 208.3 (191.0, 226.9) 2 (1, 23) 112 falling falling trend -1.2 (-1.6, -0.8)
Greene County Rural No 207.7 (187.1, 230.3) 3 (1, 28) 79 falling falling trend -1.4 (-2.0, -0.8)
Franklin County Rural No 204.9 (182.2, 229.9) 4 (1, 35) 63 stable stable trend 5.6 (-1.5, 11.8)
Orleans County Urban No 200.4 (175.6, 228.1) 5 (1, 42) 51 falling falling trend -0.9 (-1.5, -0.2)
Steuben County Rural No 200.0 (184.4, 216.7) 6 (1, 28) 128 falling falling trend -1.4 (-1.7, -1.0)
Livingston County Urban No 196.2 (176.4, 217.6) 7 (1, 40) 77 falling falling trend -1.6 (-2.0, -1.1)
St. Lawrence County Rural No 195.6 (180.4, 211.8) 8 (1, 32) 131 falling falling trend -1.7 (-2.1, -1.3)
Schoharie County Urban No 194.5 (169.4, 222.8) 9 (1, 48) 46 falling falling trend -1.5 (-2.1, -0.8)
Niagara County Urban No 193.6 (183.0, 204.8) 10 (2, 28) 266 falling falling trend -1.3 (-1.6, -1.1)
Clinton County Rural No 193.1 (175.8, 211.7) 11 (1, 40) 97 falling falling trend -1.3 (-1.9, -0.7)
Rensselaer County Urban No 192.8 (179.9, 206.3) 12 (1, 32) 179 falling falling trend -1.5 (-1.9, -1.1)
Oswego County Urban No 190.8 (176.1, 206.6) 13 (1, 38) 135 falling falling trend -1.5 (-1.9, -1.0)
Jefferson County Urban No 189.3 (173.2, 206.5) 14 (1, 42) 108 falling falling trend -1.6 (-2.1, -1.1)
Genesee County Rural No 187.8 (168.7, 208.7) 15 (1, 48) 75 falling falling trend -1.5 (-2.0, -1.0)
Wyoming County Rural No 187.2 (163.9, 213.1) 16 (1, 53) 50 falling falling trend -1.4 (-2.0, -0.8)
Oneida County Urban No 187.2 (177.2, 197.6) 17 (4, 34) 274 falling falling trend -1.4 (-1.6, -1.1)
Cortland County Rural No 186.2 (163.1, 211.9) 18 (1, 52) 50 falling falling trend -1.6 (-2.9, -1.1)
Chenango County Rural No 183.8 (163.4, 206.4) 19 (1, 52) 63 falling falling trend -1.6 (-2.1, -1.1)
Allegany County Rural No 183.0 (161.7, 206.5) 20 (1, 53) 58 falling falling trend -2.1 (-4.5, -1.5)
Seneca County Rural No 182.0 (157.4, 209.6) 21 (1, 55) 42 falling falling trend -1.4 (-2.1, -0.8)
Montgomery County Rural No 180.8 (160.0, 203.7) 22 (1, 54) 58 stable stable trend -0.9 (-1.7, 3.5)
Erie County Urban No 179.0 (173.9, 184.1) 23 (14, 36) 1,008 falling falling trend -1.7 (-1.8, -1.5)
Washington County Urban No 178.8 (161.1, 198.0) 24 (3, 54) 80 falling falling trend -1.8 (-2.1, -1.3)
Madison County Urban No 178.6 (160.7, 198.0) 25 (3, 53) 79 falling falling trend -1.7 (-2.1, -1.2)
Broome County Urban No 178.4 (168.0, 189.3) 26 (9, 44) 231 stable stable trend 3.6 (-1.7, 7.4)
Herkimer County Urban No 176.6 (158.6, 196.2) 27 (4, 54) 76 falling falling trend -1.6 (-2.2, -1.0)
Fulton County Rural No 175.9 (156.2, 197.5) 28 (3, 55) 62 falling falling trend -1.5 (-2.1, -0.9)
Cattaraugus County Rural No 175.4 (159.2, 193.0) 29 (5, 54) 93 falling falling trend -1.6 (-2.0, -1.1)
Otsego County Rural No 174.8 (156.8, 194.7) 30 (5, 55) 73 falling falling trend -2.7 (-7.8, -1.8)
Albany County Urban No 174.7 (165.9, 184.0) 31 (13, 45) 308 falling falling trend -1.6 (-1.9, -1.4)
Wayne County Urban No 174.2 (159.2, 190.3) 32 (7, 53) 107 falling falling trend -1.8 (-2.2, -1.3)
Warren County Urban No 172.9 (156.0, 191.4) 33 (6, 55) 83 falling falling trend -1.3 (-1.7, -0.7)
Delaware County Rural No 171.9 (152.8, 193.2) 34 (4, 56) 66 falling falling trend -1.5 (-2.1, -0.9)
Chautauqua County Rural No 170.8 (158.4, 184.1) 35 (13, 53) 150 falling falling trend -1.4 (-1.7, -1.1)
Monroe County Urban No 170.2 (164.7, 176.0) 36 (23, 45) 744 falling falling trend -1.7 (-1.8, -1.5)
Saratoga County Urban No 170.1 (160.5, 180.2) 37 (17, 50) 250 falling falling trend -1.5 (-1.8, -1.2)
Essex County Rural No 166.9 (146.5, 189.8) 38 (5, 56) 52 falling falling trend -1.8 (-2.6, -1.0)
Ontario County Urban No 166.4 (153.2, 180.6) 39 (16, 56) 124 falling falling trend -1.8 (-2.2, -1.4)
Tioga County Urban No 166.4 (147.5, 187.4) 40 (6, 56) 59 falling falling trend -2.3 (-2.8, -1.7)
Schenectady County Urban No 165.4 (153.6, 178.0) 41 (19, 55) 151 falling falling trend -2.8 (-9.1, -1.7)
Ulster County Urban No 163.9 (153.7, 174.7) 42 (23, 54) 205 falling falling trend -2.0 (-2.4, -1.7)
Onondaga County Urban No 161.9 (155.1, 169.0) 43 (29, 53) 446 falling falling trend -3.2 (-4.5, -2.5)
Sullivan County Rural No 161.3 (145.8, 178.1) 44 (16, 56) 85 falling falling trend -2.2 (-2.5, -1.8)
Dutchess County Urban No 159.9 (151.7, 168.5) 45 (30, 55) 299 falling falling trend -2.1 (-2.5, -1.7)
Cayuga County Rural No 159.7 (144.5, 176.3) 46 (19, 56) 85 falling falling trend -1.5 (-2.1, -0.8)
Lewis County Rural No 159.2 (133.8, 188.4) 47 (5, 60) 29 falling falling trend -2.2 (-3.1, -1.4)
Orange County Urban No 158.8 (150.7, 167.3) 48 (31, 55) 310 falling falling trend -2.4 (-5.9, -1.7)
Yates County Rural No 158.7 (133.0, 188.7) 49 (6, 62) 28 falling falling trend -2.0 (-2.6, -1.4)
Columbia County Rural No 157.8 (142.1, 175.0) 50 (18, 56) 80 falling falling trend -1.8 (-2.2, -1.4)
Richmond County Urban No 155.8 (149.0, 162.8) 51 (37, 56) 417 falling falling trend -2.2 (-2.4, -2.0)
Bronx County Urban No 152.9 (148.5, 157.5) 52 (43, 56) 948 falling falling trend -3.3 (-4.2, -2.6)
Suffolk County Urban No 152.1 (148.4, 155.9) 53 (45, 56) 1,348 falling falling trend -2.4 (-2.5, -2.2)
Putnam County Urban No 149.4 (135.4, 164.5) 54 (31, 58) 90 falling falling trend -2.3 (-2.7, -1.8)
Tompkins County Urban No 147.3 (132.4, 163.5) 55 (33, 60) 76 falling falling trend -2.1 (-2.6, -1.6)
Hamilton County Rural No 143.5 (100.2, 211.6) 56 (1, 62) 8 falling falling trend -2.2 (-3.6, -0.8)
Nassau County Urban No 133.0 (129.5, 136.7) 57 (54, 59) 1,104 falling falling trend -2.3 (-2.4, -2.1)
Westchester County Urban No 127.6 (123.4, 131.8) 58 (56, 61) 736 falling falling trend -2.7 (-3.3, -2.5)
Rockland County Urban No 126.7 (119.3, 134.5) 59 (55, 62) 224 falling falling trend -2.8 (-3.0, -2.5)
Kings County Urban No 124.4 (121.6, 127.3) 60 (57, 62) 1,543 falling falling trend -4.7 (-5.6, -3.9)
Queens County Urban Yes 119.9 (117.2, 122.7) 61 (59, 62) 1,540 falling falling trend -4.0 (-4.6, -3.5)
New York County Urban Yes 119.6 (116.4, 122.9) 62 (59, 62) 1,080 falling falling trend -3.9 (-4.9, -3.3)
Notes:
Created by statecancerprofiles.cancer.gov on 12/13/2024 4:22 am.

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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