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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, Ages <65

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 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 Yes 43.2 (42.8, 43.6) N/A 9,307 falling falling trend -2.2 (-2.2, -2.1)
United States Yes 47.3 (47.2, 47.4) N/A 168,038 falling falling trend -2.3 (-2.6, -2.0)
Westchester County Yes 33.6 (32.1, 35.3) 62 (57, 62) 372 falling falling trend -2.9 (-3.1, -2.7)
Nassau County Yes 35.1 (33.8, 36.5) 61 (56, 62) 553 falling falling trend -2.8 (-3.0, -2.7)
New York County Yes 35.2 (33.8, 36.5) 60 (56, 62) 565 falling falling trend -3.0 (-3.2, -2.9)
Rockland County Yes 35.5 (32.6, 38.7) 59 (53, 62) 115 falling falling trend -3.0 (-3.3, -2.7)
Putnam County Yes 36.9 (32.1, 42.3) 58 (45, 62) 47 falling falling trend -2.8 (-3.4, -2.2)
Queens County Yes 39.0 (37.9, 40.2) 57 (50, 59) 970 falling falling trend -1.6 (-2.0, -1.2)
Lewis County Yes 39.2 (29.6, 51.3) 56 (9, 62) 13 falling falling trend -2.0 (-3.3, -0.7)
Suffolk County Yes 39.4 (38.1, 40.8) 55 (49, 58) 701 falling falling trend -2.8 (-3.0, -2.7)
Dutchess County Yes 41.4 (38.3, 44.7) 54 (39, 58) 150 falling falling trend -2.3 (-2.6, -2.0)
Richmond County Yes 41.9 (39.4, 44.5) 53 (40, 57) 227 falling falling trend -2.8 (-3.0, -2.6)
Madison County Yes 42.0 (35.6, 49.4) 52 (19, 62) 36 falling falling trend -2.0 (-2.6, -1.4)
Saratoga County Yes 42.3 (38.8, 46.0) 51 (34, 58) 119 falling falling trend -2.0 (-2.4, -1.7)
Tompkins County Yes 43.1 (37.2, 49.8) 50 (17, 61) 41 falling falling trend -1.5 (-2.1, -0.9)
Tioga County Yes 44.0 (36.3, 53.1) 49 (7, 62) 27 falling falling trend -1.9 (-2.6, -1.3)
Ulster County Yes 44.5 (40.4, 48.9) 48 (23, 57) 99 falling falling trend -2.3 (-2.7, -1.8)
Kings County Yes 45.0 (43.8, 46.2) 47 (36, 51) 1,115 falling falling trend -3.2 (-4.1, -2.4)
Monroe County Yes 45.4 (43.3, 47.7) 46 (30, 52) 377 falling falling trend -1.8 (-2.0, -1.6)
Ontario County Yes 45.6 (40.4, 51.3) 45 (13, 58) 64 falling falling trend -2.0 (-2.5, -1.5)
Onondaga County Yes 45.7 (43.0, 48.6) 44 (26, 53) 238 falling falling trend -1.8 (-2.1, -1.6)
Orange County Yes 46.5 (43.5, 49.6) 43 (22, 52) 191 falling falling trend -2.3 (-2.6, -2.0)
Albany County Yes 47.2 (43.8, 50.8) 42 (18, 51) 159 falling falling trend -2.0 (-2.2, -1.7)
Delaware County Yes 47.5 (39.0, 57.7) 41 (3, 60) 26 falling falling trend -1.4 (-2.3, -0.6)
Yates County Yes 48.0 (36.7, 62.1) 40 (1, 62) 14 falling falling trend -2.0 (-3.1, -0.9)
Columbia County Yes 48.1 (41.0, 56.4) 39 (4, 58) 38 falling falling trend -1.6 (-2.4, -0.9)
Seneca County Yes 48.3 (38.6, 59.9) 38 (2, 62) 19 falling falling trend -1.3 (-2.2, -0.4)
Wyoming County Yes 48.6 (40.2, 58.6) 37 (2, 59) 25 falling falling trend -1.6 (-2.3, -0.9)
Rensselaer County Yes 48.9 (44.3, 54.0) 36 (8, 52) 90 falling falling trend -1.9 (-2.3, -1.5)
Erie County Yes 49.1 (47.2, 51.2) 35 (18, 43) 532 falling falling trend -1.9 (-2.2, -1.7)
Sullivan County Yes 49.3 (42.7, 56.7) 34 (4, 55) 45 falling falling trend -2.8 (-3.2, -2.3)
Herkimer County Yes 49.8 (42.5, 58.3) 33 (3, 57) 37 falling falling trend -1.7 (-2.4, -1.1)
Schenectady County Yes 49.8 (45.1, 54.9) 32 (8, 50) 89 falling falling trend -1.7 (-2.2, -1.3)
Bronx County Yes 49.9 (48.3, 51.7) 31 (17, 39) 699 falling falling trend -2.3 (-2.4, -2.1)
Otsego County Yes 50.2 (42.0, 59.7) 30 (2, 58) 32 falling falling trend -1.3 (-2.0, -0.5)
Livingston County Yes 50.3 (42.9, 58.8) 29 (2, 55) 38 falling falling trend -1.9 (-2.7, -1.1)
Schoharie County Yes 50.4 (40.0, 63.1) 28 (1, 62) 19 falling falling trend -1.8 (-2.5, -1.1)
Essex County Yes 50.5 (41.1, 61.6) 27 (1, 58) 25 falling falling trend -2.2 (-3.1, -1.3)
Chautauqua County Yes 50.5 (45.1, 56.4) 26 (5, 51) 75 falling falling trend -1.0 (-1.5, -0.5)
Franklin County Yes 51.2 (43.0, 60.7) 25 (1, 56) 30 falling falling trend -1.9 (-2.6, -1.2)
Cayuga County Yes 51.3 (44.8, 58.5) 24 (2, 53) 51 falling falling trend -1.2 (-1.8, -0.6)
Hamilton County Yes 51.4 (26.5, 98.3) 23 (1, 62) 4 falling falling trend -2.2 (-4.3, -0.1)
Oneida County Yes 51.5 (47.5, 55.9) 22 (6, 44) 134 falling falling trend -1.4 (-1.9, -1.0)
Clinton County Yes 51.6 (45.2, 58.9) 21 (2, 52) 51 falling falling trend -1.7 (-2.3, -1.0)
Jefferson County Yes 51.7 (45.5, 58.5) 20 (2, 51) 54 falling falling trend -1.3 (-1.9, -0.6)
Cortland County Yes 52.2 (43.2, 62.6) 19 (1, 57) 26 falling falling trend -1.3 (-2.0, -0.6)
Broome County Yes 52.4 (47.9, 57.3) 18 (4, 44) 114 falling falling trend -1.3 (-1.7, -0.9)
Wayne County Yes 53.1 (46.9, 60.0) 17 (2, 49) 61 falling falling trend -1.5 (-2.1, -0.9)
Steuben County Yes 53.7 (47.5, 60.6) 16 (2, 48) 61 falling falling trend -1.5 (-2.1, -1.0)
Warren County Yes 53.7 (46.2, 62.3) 15 (1, 51) 43 falling falling trend -0.8 (-1.5, -0.1)
Allegany County Yes 54.2 (45.0, 65.0) 14 (1, 54) 28 falling falling trend -1.8 (-2.6, -1.1)
Chenango County Yes 54.6 (45.8, 64.8) 13 (1, 53) 32 falling falling trend -1.5 (-2.1, -0.9)
Chemung County Yes 55.2 (48.6, 62.6) 12 (1, 46) 56 falling falling trend -1.4 (-2.0, -0.8)
Niagara County Yes 55.5 (51.2, 60.0) 11 (1, 34) 145 falling falling trend -1.4 (-1.8, -1.0)
St. Lawrence County Yes 55.5 (49.5, 62.1) 10 (1, 40) 69 falling falling trend -1.4 (-1.9, -0.9)
Oswego County Yes 55.6 (49.9, 61.8) 9 (1, 40) 78 falling falling trend -1.3 (-1.7, -0.9)
Orleans County Yes 56.2 (46.6, 67.3) 8 (1, 53) 28 falling falling trend -1.4 (-2.3, -0.6)
Cattaraugus County Yes 56.4 (49.4, 64.1) 7 (1, 44) 54 falling falling trend -1.2 (-1.8, -0.6)
Genesee County Yes 56.6 (48.6, 65.7) 6 (1, 45) 41 falling falling trend -0.9 (-1.6, -0.2)
Fulton County Yes 58.1 (49.7, 67.8) 5 (1, 45) 38 falling falling trend -1.3 (-2.0, -0.5)
Montgomery County Yes 58.3 (49.2, 68.6) 4 (1, 46) 33 falling falling trend -1.3 (-2.1, -0.5)
Washington County Yes 60.1 (52.1, 69.1) 3 (1, 39) 46 falling falling trend -1.2 (-1.7, -0.6)
Greene County Yes 62.1 (52.9, 72.7) 2 (1, 35) 37 falling falling trend -0.9 (-1.6, -0.2)
Schuyler County Yes 62.5 (47.2, 81.8) 1 (1, 56) 13 falling falling trend -1.4 (-2.5, -0.3)
Notes:
Created by statecancerprofiles.cancer.gov on 12/01/2022 5:21 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.



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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