Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for New York by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, Ages 65+

Sorted by CI*Rank

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 descending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank ascending
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 738.4 (734.2, 742.6) N/A 24,565 falling falling trend -2.6 (-2.8, -2.5)
United States N/A No 844.0 (842.9, 845.1) N/A 441,232 falling falling trend -1.6 (-1.8, -1.5)
Queens County Urban No 582.0 (571.1, 593.0) 62 (61, 62) 2,221 falling falling trend -3.8 (-4.5, -3.2)
Kings County Urban No 600.6 (589.5, 611.8) 61 (59, 62) 2,287 falling falling trend -4.1 (-4.8, -3.6)
New York County Urban No 608.9 (596.1, 621.9) 60 (59, 61) 1,743 falling falling trend -4.4 (-6.2, -3.4)
Bronx County Urban No 665.4 (648.9, 682.2) 59 (56, 59) 1,256 falling falling trend -4.4 (-6.0, -3.3)
Westchester County Urban No 669.3 (652.1, 686.8) 58 (55, 59) 1,185 falling falling trend -3.3 (-5.4, -2.5)
Rockland County Urban No 678.1 (646.8, 710.4) 57 (54, 59) 360 falling falling trend -2.1 (-4.5, -1.9)
Tompkins County Urban No 713.9 (654.0, 777.8) 56 (45, 59) 108 falling falling trend -1.7 (-2.1, -1.2)
Nassau County Urban No 717.2 (702.2, 732.4) 55 (53, 57) 1,795 falling falling trend -1.8 (-2.0, -1.7)
Herkimer County Urban No 786.4 (717.3, 860.3) 54 (22, 57) 97 falling falling trend -1.3 (-1.7, -0.9)
Suffolk County Urban No 788.7 (773.3, 804.3) 53 (43, 54) 2,026 falling falling trend -2.2 (-3.1, -1.9)
Putnam County Urban No 802.0 (742.1, 865.4) 52 (20, 56) 135 falling falling trend -1.9 (-2.4, -1.4)
Dutchess County Urban No 804.8 (770.7, 840.0) 51 (31, 54) 427 falling falling trend -1.9 (-2.1, -1.7)
Richmond County Urban No 807.1 (778.8, 836.2) 50 (32, 54) 628 falling falling trend -1.5 (-1.7, -1.3)
Ulster County Urban No 812.2 (770.4, 855.6) 49 (25, 54) 290 falling falling trend -1.5 (-1.8, -1.2)
Columbia County Rural No 815.4 (750.1, 884.8) 48 (15, 56) 117 falling falling trend -1.4 (-1.7, -1.1)
Tioga County Urban No 815.5 (737.4, 899.7) 47 (11, 56) 81 falling falling trend -1.7 (-2.2, -1.3)
Onondaga County Urban No 816.7 (788.9, 845.2) 46 (29, 54) 671 falling falling trend -2.8 (-3.9, -2.1)
Schenectady County Urban No 819.0 (771.1, 869.2) 45 (20, 54) 225 falling falling trend -1.6 (-2.8, -1.3)
Cayuga County Rural No 819.6 (755.0, 888.2) 44 (14, 55) 122 falling falling trend -0.9 (-1.4, -0.5)
Cattaraugus County Rural No 825.8 (760.2, 895.5) 43 (13, 55) 120 falling falling trend -1.2 (-1.6, -0.9)
Broome County Urban No 825.9 (785.6, 867.8) 42 (22, 54) 325 falling falling trend -1.4 (-1.7, -1.0)
Albany County Urban No 827.6 (793.2, 863.2) 41 (24, 54) 446 falling falling trend -1.3 (-5.5, -0.6)
Orange County Urban No 835.4 (800.9, 871.0) 40 (22, 53) 451 falling falling trend -1.7 (-3.5, -1.5)
Ontario County Urban No 839.6 (786.3, 895.6) 39 (15, 54) 188 falling falling trend -1.8 (-5.5, -1.3)
Lewis County Rural No 840.2 (727.9, 964.8) 38 (3, 58) 41 falling falling trend -1.7 (-2.4, -1.1)
Otsego County Rural No 844.9 (772.9, 921.9) 37 (8, 55) 103 falling falling trend -1.1 (-1.7, -0.4)
Monroe County Urban No 847.6 (825.2, 870.3) 36 (23, 47) 1,114 falling falling trend -1.6 (-2.0, -1.4)
Wayne County Urban No 847.8 (786.3, 912.8) 35 (9, 54) 144 falling falling trend -6.7 (-11.6, -1.3)
Saratoga County Urban No 857.8 (818.2, 898.8) 34 (13, 50) 360 falling falling trend -2.0 (-4.2, -1.4)
Essex County Rural No 861.9 (777.5, 953.0) 33 (4, 55) 77 falling falling trend -1.4 (-1.9, -0.7)
Seneca County Rural No 862.5 (763.0, 971.3) 32 (3, 56) 56 falling falling trend -1.2 (-1.8, -0.6)
Livingston County Urban No 864.0 (788.0, 945.4) 31 (6, 54) 97 falling falling trend -1.9 (-3.4, -1.3)
Wyoming County Rural No 871.8 (776.6, 975.3) 30 (3, 55) 63 falling falling trend -0.8 (-1.4, -0.2)
Yates County Rural No 873.8 (758.8, 1,001.1) 29 (2, 56) 42 falling falling trend -1.2 (-1.7, -0.7)
Delaware County Rural No 874.1 (797.4, 956.2) 28 (5, 54) 96 falling falling trend -1.2 (-1.7, -0.7)
Erie County Urban No 881.3 (861.3, 901.7) 27 (15, 36) 1,503 falling falling trend -2.6 (-3.8, -1.9)
Warren County Urban No 881.8 (813.3, 954.5) 26 (5, 53) 125 falling falling trend -1.5 (-3.0, -1.1)
Sullivan County Rural No 886.0 (816.2, 960.1) 25 (5, 53) 122 falling falling trend -1.4 (-1.8, -0.9)
Hamilton County Rural No 887.1 (681.4, 1,135.0) 24 (1, 62) 13 falling falling trend -1.5 (-2.7, -0.2)
Madison County Urban No 889.8 (816.0, 968.6) 23 (4, 53) 109 falling falling trend -1.2 (-1.5, -0.9)
Genesee County Rural No 893.4 (815.9, 976.3) 22 (3, 53) 99 falling falling trend -1.2 (-1.6, -0.8)
Rensselaer County Urban No 897.5 (847.0, 950.3) 21 (7, 45) 243 falling falling trend -1.7 (-2.3, -1.4)
Chautauqua County Rural No 901.8 (849.8, 956.1) 20 (6, 44) 230 falling falling trend -0.9 (-1.2, -0.6)
St. Lawrence County Rural No 902.0 (841.9, 965.3) 19 (4, 47) 170 falling falling trend -1.6 (-4.4, -1.1)
Cortland County Rural No 902.2 (807.8, 1,004.6) 18 (2, 54) 68 falling falling trend -0.9 (-1.5, -0.4)
Oneida County Urban No 904.8 (864.8, 946.1) 17 (6, 38) 394 falling falling trend -1.0 (-1.2, -0.8)
Chenango County Rural No 908.9 (824.9, 999.0) 16 (2, 53) 87 falling falling trend -1.1 (-1.6, -0.7)
Fulton County Rural No 914.4 (832.5, 1,002.2) 15 (2, 51) 93 falling falling trend -1.1 (-1.5, -0.7)
Allegany County Rural No 916.4 (828.2, 1,011.3) 14 (2, 51) 81 falling falling trend -1.6 (-2.8, -1.2)
Oswego County Urban No 917.0 (855.8, 981.5) 13 (3, 42) 172 falling falling trend -2.5 (-8.0, -1.1)
Washington County Urban No 923.6 (848.0, 1,004.0) 12 (2, 48) 112 falling falling trend -1.3 (-1.7, -0.9)
Niagara County Urban No 932.6 (890.3, 976.5) 11 (4, 31) 373 falling falling trend -1.0 (-2.5, -0.9)
Montgomery County Rural No 950.0 (861.6, 1,044.9) 10 (1, 44) 88 falling falling trend -1.0 (-1.6, -0.4)
Greene County Rural No 955.4 (873.6, 1,042.7) 9 (1, 42) 102 falling falling trend -1.4 (-1.9, -0.9)
Jefferson County Urban No 957.3 (890.1, 1,028.2) 8 (2, 34) 153 falling falling trend -1.1 (-1.5, -0.6)
Clinton County Rural No 961.5 (889.0, 1,038.3) 7 (1, 35) 132 falling falling trend -0.7 (-1.1, -0.2)
Schoharie County Urban No 978.2 (872.3, 1,093.4) 6 (1, 45) 63 falling falling trend -1.1 (-1.7, -0.6)
Franklin County Rural No 988.6 (894.6, 1,089.8) 5 (1, 38) 83 falling falling trend -1.1 (-1.5, -0.7)
Chemung County Urban No 999.9 (930.7, 1,072.9) 4 (1, 23) 158 falling falling trend -0.9 (-1.2, -0.6)
Steuben County Rural No 1,015.8 (950.4, 1,084.4) 3 (1, 19) 183 falling falling trend -0.8 (-1.1, -0.5)
Orleans County Urban No 1,081.2 (973.5, 1,197.4) 2 (1, 16) 76 stable stable trend -0.5 (-1.0, 0.1)
Schuyler County Rural No 1,086.0 (937.8, 1,250.7) 1 (1, 33) 40 stable stable trend -0.1 (-1.0, 1.0)
Notes:
Created by statecancerprofiles.cancer.gov on 12/06/2024 10:09 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.

Return to Top