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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), Female, All Ages

Sorted by Name

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 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 Yes 113.7 (112.9, 114.5) N/A 16,624 falling falling trend -2.9 (-3.4, -2.5)
United States N/A No 126.4 (126.2, 126.6) N/A 285,526 falling falling trend -1.3 (-1.4, -1.1)
Yates County Rural No 146.8 (123.0, 174.6) 10 (1, 54) 29 falling falling trend -0.9 (-1.4, -0.4)
Wyoming County Rural No 128.1 (109.6, 149.2) 39 (4, 60) 37 falling falling trend -0.6 (-1.1, -0.1)
Westchester County Urban Yes 101.1 (97.8, 104.4) 59 (55, 60) 792 falling falling trend -2.7 (-3.7, -2.2)
Wayne County Urban No 140.1 (127.4, 153.8) 18 (3, 48) 97 falling falling trend -0.8 (-1.2, -0.3)
Washington County Urban No 154.8 (139.0, 172.4) 5 (1, 33) 76 falling falling trend -0.9 (-1.3, -0.4)
Warren County Urban No 133.5 (120.0, 148.4) 31 (5, 54) 78 falling falling trend -1.5 (-5.1, -1.0)
Ulster County Urban No 123.1 (114.9, 131.9) 46 (22, 55) 182 falling falling trend -1.5 (-1.9, -1.1)
Tompkins County Urban Yes 108.3 (96.9, 120.9) 56 (37, 62) 70 falling falling trend -4.8 (-11.4, -1.6)
Tioga County Urban Yes 121.6 (106.4, 138.8) 48 (10, 60) 49 stable stable trend -1.1 (-5.4, 3.3)
Sullivan County Rural No 140.5 (126.6, 155.7) 17 (3, 49) 78 falling falling trend -1.5 (-2.0, -0.9)
Suffolk County Urban Yes 116.9 (114.0, 119.8) 52 (44, 55) 1,331 falling falling trend -2.4 (-3.1, -2.1)
Steuben County Rural No 152.3 (139.5, 166.1) 6 (1, 30) 112 falling falling trend -0.7 (-1.2, -0.3)
St. Lawrence County Rural No 137.7 (125.9, 150.4) 23 (4, 49) 108 falling falling trend -1.1 (-1.7, -0.5)
Seneca County Rural No 130.3 (109.8, 153.9) 35 (2, 60) 32 falling falling trend -1.0 (-1.8, -0.3)
Schuyler County Rural No 167.1 (137.1, 202.8) 1 (1, 48) 24 stable stable trend -0.3 (-1.1, 0.7)
Schoharie County Urban No 139.3 (118.6, 163.4) 20 (1, 55) 35 falling falling trend -1.5 (-2.0, -1.0)
Schenectady County Urban No 134.7 (125.1, 144.8) 27 (8, 49) 161 falling falling trend -1.2 (-1.6, -0.9)
Saratoga County Urban Yes 121.5 (114.3, 129.1) 49 (28, 55) 222 falling falling trend -2.0 (-4.4, -1.5)
Rockland County Urban Yes 104.0 (98.1, 110.3) 57 (52, 61) 240 falling falling trend -2.2 (-3.3, -1.9)
Richmond County Urban Yes 122.7 (117.4, 128.1) 47 (31, 53) 431 falling falling trend -1.7 (-1.9, -1.6)
Rensselaer County Urban No 131.5 (122.1, 141.5) 33 (11, 51) 154 falling falling trend -1.9 (-2.6, -1.5)
Queens County Urban Yes 93.2 (91.1, 95.3) 62 (60, 62) 1,581 falling falling trend -3.7 (-6.4, -2.3)
Putnam County Urban Yes 116.2 (105.1, 128.2) 53 (26, 60) 85 falling falling trend -2.1 (-2.6, -1.6)
Otsego County Rural No 133.6 (118.2, 150.9) 29 (4, 55) 63 falling falling trend -0.8 (-1.4, -0.1)
Oswego County Urban No 145.8 (133.9, 158.6) 12 (2, 38) 116 falling falling trend -0.9 (-1.3, -0.5)
Orleans County Urban No 166.7 (145.8, 190.2) 2 (1, 28) 48 falling falling trend -0.7 (-1.4, -0.1)
Orange County Urban No 130.8 (124.3, 137.5) 34 (15, 48) 318 falling falling trend -1.6 (-1.8, -1.3)
Ontario County Urban No 125.5 (115.2, 136.6) 42 (16, 55) 118 falling falling trend -1.3 (-1.8, -0.9)
Onondaga County Urban No 125.5 (120.1, 131.0) 43 (26, 52) 448 falling falling trend -2.6 (-5.4, -1.6)
Oneida County Urban No 133.5 (125.8, 141.7) 30 (11, 47) 243 falling falling trend -1.0 (-1.3, -0.8)
Niagara County Urban No 142.2 (134.0, 150.9) 15 (4, 35) 241 falling falling trend -0.9 (-1.1, -0.6)
New York County Urban Yes 94.5 (92.0, 97.0) 61 (59, 62) 1,180 falling falling trend -4.1 (-5.7, -3.2)
Nassau County Urban Yes 111.0 (108.1, 114.0) 55 (50, 57) 1,217 falling falling trend -1.9 (-2.0, -1.8)
Montgomery County Rural No 146.4 (129.1, 165.7) 11 (1, 49) 56 stable stable trend -0.6 (-1.3, 0.0)
Monroe County Urban No 126.4 (122.2, 130.8) 41 (27, 50) 720 falling falling trend -2.1 (-5.4, -1.3)
Madison County Urban Yes 120.4 (107.0, 135.3) 50 (14, 60) 62 falling falling trend -2.2 (-6.8, -1.4)
Livingston County Urban No 123.3 (108.6, 139.6) 45 (11, 59) 57 falling falling trend -2.1 (-8.3, -1.4)
Lewis County Rural No 126.7 (104.7, 152.5) 40 (3, 62) 25 falling falling trend -1.4 (-2.2, -0.5)
Kings County Urban Yes 100.1 (97.9, 102.3) 60 (56, 60) 1,742 falling falling trend -3.7 (-4.4, -3.2)
Jefferson County Urban No 147.5 (134.6, 161.4) 9 (1, 39) 101 falling falling trend -1.0 (-1.4, -0.6)
Herkimer County Urban Yes 114.0 (100.7, 128.9) 54 (25, 62) 58 falling falling trend -1.9 (-8.0, -1.3)
Hamilton County Rural No 129.6 (91.4, 191.9) 36 (1, 62) 8 stable stable trend -1.3 (-2.7, 0.1)
Greene County Rural No 142.3 (125.7, 160.9) 14 (2, 50) 59 falling falling trend -1.3 (-1.9, -0.7)
Genesee County Rural No 128.8 (114.3, 145.0) 38 (7, 56) 61 falling falling trend -0.9 (-1.5, -0.4)
Fulton County Rural No 158.5 (141.3, 177.5) 4 (1, 33) 67 falling falling trend -0.8 (-1.5, -0.2)
Franklin County Rural No 147.9 (129.4, 168.5) 8 (1, 49) 51 falling falling trend -0.9 (-1.6, -0.3)
Essex County Rural No 136.2 (118.4, 156.6) 25 (2, 55) 48 falling falling trend -1.6 (-2.3, -0.9)
Erie County Urban No 134.6 (130.8, 138.6) 28 (17, 38) 1,004 falling falling trend -2.3 (-4.0, -1.6)
Dutchess County Urban No 123.3 (116.8, 130.3) 44 (27, 54) 281 falling falling trend -1.6 (-1.8, -1.4)
Delaware County Rural No 137.9 (121.5, 156.6) 22 (2, 54) 58 falling falling trend -1.2 (-1.8, -0.6)
Cortland County Rural No 140.7 (122.2, 161.5) 16 (1, 54) 44 falling falling trend -1.0 (-1.7, -0.3)
Columbia County Rural No 132.4 (118.5, 147.9) 32 (5, 54) 74 falling falling trend -1.2 (-1.6, -0.8)
Clinton County Rural No 150.2 (135.9, 165.7) 7 (1, 37) 87 falling falling trend -0.7 (-1.0, -0.3)
Chenango County Rural No 139.8 (122.8, 158.9) 19 (1, 54) 53 falling falling trend -1.0 (-1.4, -0.6)
Chemung County Urban No 160.6 (146.6, 175.7) 3 (1, 22) 106 falling falling trend -0.9 (-1.3, -0.4)
Chautauqua County Rural No 142.8 (132.2, 154.0) 13 (3, 40) 150 falling falling trend -0.7 (-1.1, -0.3)
Cayuga County Rural No 138.1 (124.6, 152.8) 21 (3, 51) 84 falling falling trend -0.7 (-1.3, -0.2)
Cattaraugus County Rural No 135.5 (122.1, 150.1) 26 (4, 52) 81 falling falling trend -1.1 (-1.6, -0.5)
Broome County Urban No 129.0 (120.8, 137.7) 37 (14, 51) 208 falling falling trend -1.2 (-1.5, -0.9)
Bronx County Urban Yes 103.9 (100.9, 107.0) 58 (53, 60) 947 falling falling trend -4.8 (-6.8, -3.5)
Allegany County Rural No 137.2 (119.6, 156.9) 24 (2, 55) 48 falling falling trend -1.3 (-2.0, -0.7)
Albany County Urban Yes 120.1 (113.8, 126.8) 51 (32, 55) 285 falling falling trend -3.9 (-9.0, -1.5)
Notes:
Created by statecancerprofiles.cancer.gov on 11/14/2024 1:48 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.


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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