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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 <50

Sorted by Recentaapc
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 Yes 14.5 (14.1, 14.8) N/A 1,723 falling falling trend -1.8 (-2.2, -1.5)
United States Yes 14.9 (14.8, 15.0) N/A 29,891 falling falling trend -1.7 (-1.9, -1.6)
New York County Yes 12.0 (11.1, 13.0) 55 (41, 58) 126 falling falling trend -3.5 (-3.8, -3.2)
Nassau County Yes 12.7 (11.6, 13.9) 51 (36, 57) 103 falling falling trend -2.8 (-3.1, -2.5)
Richmond County Yes 14.8 (12.9, 16.9) 40 (13, 53) 44 falling falling trend -2.8 (-3.4, -2.2)
Suffolk County Yes 12.7 (11.6, 13.7) 52 (36, 57) 114 falling falling trend -2.8 (-3.1, -2.4)
Westchester County Yes 11.8 (10.6, 13.1) 57 (39, 58) 72 falling falling trend -2.8 (-3.2, -2.5)
Bronx County Yes 16.8 (15.6, 18.1) 22 (9, 34) 149 falling falling trend -2.7 (-3.0, -2.4)
Sullivan County Yes 14.2 (9.6, 20.2) 45 (4, 58) 6 falling falling trend -2.7 (-4.0, -1.4)
Kings County Yes 15.4 (14.5, 16.3) 32 (17, 42) 249 falling falling trend -2.6 (-2.9, -2.4)
Dutchess County Yes 13.6 (11.2, 16.2) 47 (17, 58) 24 falling falling trend -2.3 (-3.0, -1.5)
Ulster County Yes 14.7 (11.6, 18.4) 42 (7, 57) 16 falling falling trend -2.2 (-3.2, -1.3)
Erie County Yes 15.0 (13.5, 16.5) 38 (15, 48) 78 falling falling trend -2.1 (-2.5, -1.7)
Madison County Yes 13.8 (9.0, 20.3) 46 (3, 58) 5 falling falling trend -2.1 (-3.4, -0.7)
Ontario County Yes 11.9 (8.4, 16.4) 56 (13, 58) 8 falling falling trend -2.0 (-3.2, -0.8)
Orange County Yes 16.5 (14.2, 19.0) 24 (6, 47) 38 falling falling trend -2.0 (-2.6, -1.4)
Putnam County Yes 12.8 (9.1, 17.6) 50 (9, 58) 8 falling falling trend -2.0 (-3.2, -0.8)
Saratoga County Yes 12.3 (9.9, 15.2) 54 (22, 58) 18 falling falling trend -2.0 (-2.7, -1.4)
Rensselaer County Yes 16.6 (13.0, 20.8) 23 (3, 55) 15 falling falling trend -1.9 (-2.8, -1.0)
Schenectady County Yes 15.2 (11.9, 19.2) 34 (6, 57) 14 falling falling trend -1.9 (-2.7, -1.2)
Albany County Yes 14.9 (12.4, 17.7) 39 (8, 56) 26 falling falling trend -1.8 (-2.3, -1.2)
Broome County Yes 17.2 (13.7, 21.2) 18 (3, 52) 17 falling falling trend -1.8 (-2.6, -0.9)
Greene County Yes 17.3 (10.9, 26.2) 13 (1, 58) 5 stable stable trend -1.8 (-3.8, 0.2)
Monroe County Yes 15.7 (14.0, 17.5) 29 (10, 47) 67 falling falling trend -1.8 (-2.2, -1.3)
Livingston County Yes 15.1 (9.7, 22.3) 36 (2, 58) 5 falling falling trend -1.7 (-3.2, -0.3)
Allegany County Yes 17.3 (10.7, 26.4) 15 (1, 58) 4 falling falling trend -1.6 (-3.2, -0.1)
Onondaga County Yes 15.3 (13.2, 17.6) 33 (10, 52) 40 falling falling trend -1.6 (-2.1, -1.1)
Wayne County Yes 16.0 (11.5, 21.8) 26 (2, 58) 8 falling falling trend -1.6 (-2.8, -0.4)
Delaware County Yes 14.8 (8.5, 23.8) 41 (2, 58) 3 stable stable trend -1.5 (-2.9, 0.0)
Cortland County Yes 15.0 (8.9, 23.6) 37 (2, 58) 4 stable stable trend -1.4 (-2.8, 0.0)
Chemung County Yes 16.2 (11.5, 22.1) 25 (2, 58) 8 falling falling trend -1.3 (-2.5, -0.1)
Oneida County Yes 17.0 (14.0, 20.5) 20 (4, 50) 22 falling falling trend -1.3 (-2.1, -0.5)
Steuben County Yes 17.3 (12.7, 23.1) 14 (2, 57) 9 falling falling trend -1.3 (-2.3, -0.4)
Chenango County Yes 18.4 (11.7, 27.4) 10 (1, 58) 5 stable stable trend -1.2 (-2.6, 0.3)
Herkimer County Yes 16.0 (10.6, 23.2) 27 (2, 58) 6 stable stable trend -1.2 (-2.5, 0.2)
Cattaraugus County Yes 15.1 (10.3, 21.4) 35 (2, 58) 6 stable stable trend -1.1 (-2.5, 0.3)
Franklin County Yes 18.6 (12.4, 26.7) 8 (1, 58) 6 stable stable trend -1.1 (-2.6, 0.5)
Otsego County Yes 22.4 (15.3, 31.5) 2 (1, 54) 7 stable stable trend -1.1 (-2.5, 0.4)
Schoharie County Yes 18.5 (10.5, 30.3) 9 (1, 58) 3 stable stable trend -1.1 (-3.0, 0.8)
Washington County Yes 18.9 (13.1, 26.5) 7 (1, 57) 7 stable stable trend -1.1 (-2.3, 0.2)
Cayuga County Yes 13.3 (8.9, 19.0) 49 (6, 58) 6 stable stable trend -1.0 (-2.4, 0.5)
Montgomery County Yes 18.1 (11.7, 26.7) 11 (1, 58) 5 stable stable trend -1.0 (-2.8, 0.8)
Seneca County Yes 16.9 (9.8, 27.2) 21 (1, 58) 3 stable stable trend -1.0 (-2.7, 0.8)
Chautauqua County Yes 17.3 (13.1, 22.3) 16 (2, 55) 12 stable stable trend -0.9 (-2.0, 0.2)
Fulton County Yes 19.0 (12.8, 27.3) 6 (1, 58) 6 stable stable trend -0.9 (-2.2, 0.4)
St. Lawrence County Yes 15.4 (11.3, 20.5) 31 (3, 58) 9 stable stable trend -0.9 (-2.2, 0.4)
Tioga County Yes 15.9 (9.9, 24.1) 28 (2, 58) 4 stable stable trend -0.9 (-2.6, 0.8)
Tompkins County Yes 11.3 (7.5, 16.4) 58 (13, 58) 6 stable stable trend -0.9 (-2.3, 0.4)
Niagara County Yes 19.4 (16.0, 23.2) 5 (2, 39) 23 stable stable trend -0.8 (-1.7, 0.0)
Orleans County Yes 21.8 (14.2, 32.0) 3 (1, 57) 5 stable stable trend -0.8 (-2.6, 1.0)
Oswego County Yes 17.5 (13.3, 22.7) 12 (2, 56) 12 stable stable trend -0.8 (-1.7, 0.1)
Clinton County Yes 12.6 (8.5, 18.2) 53 (6, 58) 6 stable stable trend -0.7 (-2.3, 1.0)
Genesee County Yes 17.3 (11.5, 24.9) 17 (1, 58) 6 stable stable trend -0.6 (-2.3, 1.0)
Jefferson County Yes 15.4 (11.2, 20.6) 30 (3, 58) 9 stable stable trend -0.6 (-2.0, 0.7)
Warren County Yes 19.6 (13.6, 27.4) 4 (1, 56) 7 stable stable trend -0.5 (-1.8, 0.8)
Queens County Yes 14.6 (13.8, 15.5) 43 (23, 47) 216 stable stable trend 0.4 (-1.4, 2.3)
Rockland County Yes 13.4 (11.1, 15.9) 48 (17, 58) 25 stable stable trend 4.6 (-3.3, 13.1)
Columbia County Yes 14.5 (9.2, 21.7) 44 (2, 58) 5
*
*
Essex County Yes 17.1 (9.9, 27.5) 19 (1, 58) 3
*
*
Schuyler County Yes 32.4 (18.8, 52.3) 1 (1, 52) 3
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Yates County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 11/28/2022 3:57 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.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


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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