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Death Rates Table

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Death Rate Report for New York by County

All Cancer Sites, 2016-2020

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

Sorted by CI*Rank
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
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 No 137.1 (136.5, 137.8) N/A 34,282 falling falling trend -3.0 (-3.6, -2.4)
United States No 149.4 (149.3, 149.6) N/A 599,666 falling falling trend -2.0 (-2.2, -1.8)
Schuyler County No 190.1 (166.7, 216.3) 1 (1, 39) 52 stable stable trend -0.7 (-1.3, 0.0)
Orleans County No 182.3 (166.3, 199.5) 2 (1, 31) 101 falling falling trend -0.8 (-1.3, -0.3)
Jefferson County No 176.7 (165.9, 188.0) 3 (1, 27) 207 falling falling trend -1.0 (-1.3, -0.6)
Chemung County No 176.3 (165.6, 187.6) 4 (1, 26) 214 falling falling trend -1.1 (-1.3, -0.8)
Washington County No 175.8 (163.5, 188.9) 5 (1, 30) 159 falling falling trend -1.2 (-1.5, -0.9)
Hamilton County No 170.3 (132.1, 221.4) 6 (1, 62) 16 falling falling trend -1.5 (-2.6, -0.5)
Niagara County No 169.4 (162.7, 176.3) 7 (2, 27) 518 falling falling trend -1.0 (-1.2, -0.8)
Greene County No 169.2 (156.0, 183.4) 8 (1, 42) 129 falling falling trend -1.3 (-1.7, -0.8)
Wayne County No 167.4 (157.2, 178.1) 9 (2, 37) 215 falling falling trend -1.1 (-1.4, -0.8)
Oswego County No 167.0 (157.6, 176.9) 10 (2, 37) 248 falling falling trend -1.1 (-1.4, -0.9)
Allegany County No 166.9 (152.7, 182.2) 11 (1, 48) 108 falling falling trend -1.9 (-2.3, -1.4)
Steuben County No 166.6 (156.9, 176.8) 12 (2, 38) 232 falling falling trend -1.2 (-1.4, -0.9)
Genesee County No 165.5 (153.1, 178.7) 13 (2, 46) 139 falling falling trend -1.1 (-1.4, -0.7)
Essex County No 165.2 (150.9, 180.8) 14 (1, 49) 107 falling falling trend -1.5 (-2.0, -1.0)
Wyoming County No 165.2 (149.9, 181.8) 15 (1, 52) 89 falling falling trend -0.8 (-1.2, -0.4)
Warren County No 164.8 (153.6, 176.9) 16 (2, 43) 171 falling falling trend -0.9 (-1.3, -0.5)
Clinton County No 164.8 (153.9, 176.3) 17 (2, 43) 176 falling falling trend -1.0 (-1.3, -0.6)
Franklin County No 164.5 (150.7, 179.4) 18 (1, 50) 108 falling falling trend -1.4 (-1.8, -1.1)
Montgomery County No 164.5 (150.9, 179.2) 19 (1, 49) 115 falling falling trend -1.2 (-1.6, -0.7)
Sullivan County No 164.2 (153.2, 175.9) 20 (2, 44) 173 falling falling trend -1.8 (-2.1, -1.5)
Chenango County No 163.9 (150.5, 178.3) 21 (2, 49) 118 falling falling trend -1.2 (-1.5, -0.9)
Fulton County No 163.4 (150.6, 177.1) 22 (2, 49) 128 falling falling trend -1.2 (-1.6, -0.9)
Oneida County No 162.3 (156.0, 168.8) 23 (7, 36) 528 falling falling trend -1.1 (-1.3, -0.9)
Erie County No 162.0 (158.8, 165.3) 24 (11, 31) 2,069 falling falling trend -1.3 (-1.3, -1.2)
Chautauqua County No 161.5 (153.3, 170.2) 25 (5, 44) 308 falling falling trend -1.0 (-1.2, -0.7)
Livingston County No 161.5 (149.3, 174.4) 26 (2, 50) 139 stable stable trend -0.9 (-2.1, 0.3)
Seneca County No 160.7 (144.8, 178.0) 27 (1, 55) 79 falling falling trend -1.2 (-1.8, -0.7)
St. Lawrence County No 159.8 (150.5, 169.6) 28 (5, 47) 230 falling falling trend -1.4 (-1.7, -1.1)
Cortland County No 157.9 (143.6, 173.3) 29 (2, 55) 94 falling falling trend -1.6 (-2.2, -1.0)
Rensselaer County No 157.5 (149.8, 165.6) 30 (9, 47) 327 falling falling trend -2.1 (-2.5, -1.6)
Cattaraugus County No 154.1 (143.7, 165.2) 31 (8, 54) 171 falling falling trend -1.2 (-1.5, -0.8)
Yates County No 153.9 (135.9, 173.8) 32 (2, 57) 57 falling falling trend -1.4 (-1.9, -0.9)
Schoharie County No 152.9 (137.2, 170.1) 33 (3, 56) 75 falling falling trend -1.5 (-1.9, -1.1)
Otsego County No 152.9 (141.2, 165.5) 34 (8, 56) 139 falling falling trend -1.1 (-1.6, -0.7)
Delaware County No 152.8 (140.3, 166.4) 35 (7, 56) 121 falling falling trend -1.3 (-1.8, -0.9)
Broome County No 152.5 (145.9, 159.4) 36 (18, 51) 426 falling falling trend -1.4 (-1.6, -1.1)
Ontario County No 152.1 (143.6, 161.0) 37 (13, 53) 252 falling falling trend -1.5 (-1.8, -1.2)
Schenectady County No 151.6 (144.0, 159.5) 38 (17, 53) 320 falling falling trend -1.3 (-1.5, -1.1)
Albany County No 151.5 (146.0, 157.2) 39 (23, 50) 605 falling falling trend -1.3 (-1.5, -1.1)
Cayuga County No 151.2 (141.0, 162.0) 40 (13, 56) 172 falling falling trend -1.0 (-1.4, -0.6)
Monroe County No 151.2 (147.7, 154.8) 41 (28, 48) 1,489 falling falling trend -1.4 (-1.6, -1.3)
Ulster County No 149.9 (143.2, 156.9) 42 (23, 53) 396 falling falling trend -1.7 (-1.9, -1.4)
Orange County No 149.6 (144.3, 155.0) 43 (26, 52) 633 falling falling trend -1.7 (-1.9, -1.6)
Saratoga County No 148.5 (142.4, 154.8) 44 (26, 53) 467 falling falling trend -1.4 (-1.6, -1.2)
Onondaga County No 148.3 (143.9, 152.8) 45 (30, 51) 901 falling falling trend -3.0 (-3.8, -2.2)
Herkimer County No 146.3 (135.2, 158.2) 46 (18, 56) 137 falling falling trend -1.5 (-1.8, -1.1)
Lewis County No 145.8 (128.6, 164.9) 47 (5, 59) 54 falling falling trend -1.8 (-2.3, -1.2)
Richmond County No 145.8 (141.4, 150.3) 48 (33, 53) 868 falling falling trend -1.8 (-2.0, -1.7)
Madison County No 145.2 (134.4, 156.6) 49 (19, 56) 143 falling falling trend -2.2 (-2.7, -1.8)
Columbia County No 144.6 (134.0, 156.0) 50 (19, 56) 149 falling falling trend -1.5 (-1.7, -1.3)
Putnam County No 140.3 (131.2, 149.8) 51 (31, 57) 186 falling falling trend -2.1 (-2.4, -1.8)
Tioga County No 140.1 (128.0, 153.2) 52 (23, 59) 104 falling falling trend -1.8 (-2.2, -1.5)
Dutchess County No 140.0 (134.8, 145.4) 53 (41, 56) 567 falling falling trend -2.0 (-2.2, -1.8)
Suffolk County No 139.2 (136.9, 141.6) 54 (47, 56) 2,742 falling falling trend -2.6 (-3.4, -1.8)
Tompkins County No 138.8 (128.8, 149.3) 55 (30, 58) 152 falling falling trend -1.5 (-1.8, -1.1)
Bronx County No 135.7 (133.0, 138.4) 56 (50, 56) 2,023 falling falling trend -4.6 (-7.2, -2.0)
Kings County No 125.4 (123.5, 127.3) 57 (56, 59) 3,534 falling falling trend -5.2 (-6.8, -3.7)
Nassau County No 124.2 (121.9, 126.5) 58 (56, 60) 2,364 falling falling trend -2.0 (-2.1, -1.9)
Westchester County Yes 120.1 (117.4, 122.8) 59 (58, 61) 1,592 falling falling trend -2.2 (-2.4, -2.1)
Rockland County Yes 120.0 (115.1, 125.0) 60 (56, 62) 476 falling falling trend -2.3 (-2.4, -2.1)
Queens County Yes 116.8 (115.0, 118.6) 61 (59, 62) 3,297 falling falling trend -4.6 (-6.2, -3.0)
New York County Yes 114.6 (112.5, 116.7) 62 (60, 62) 2,373 falling falling trend -3.3 (-3.8, -2.8)
Notes:
Created by statecancerprofiles.cancer.gov on 11/29/2022 2:16 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.



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.

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.

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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