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Death Rates Table

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Death Rate Report for New York by County

Prostate, 2016-2020

All Races (includes Hispanic), Male, All Ages

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of 16.9?
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 16.8 (16.5, 17.2) N/A 1,732 falling falling trend -2.7 (-3.1, -2.3)
United States No 18.8 (18.7, 18.9) N/A 31,337 stable stable trend -0.5 (-0.9, 0.0)
Albany County No 18.1 (15.3, 21.4) 19 (3, 47) 29 falling falling trend -3.0 (-3.7, -2.2)
Allegany County No 18.2 (11.9, 27.0) 18 (1, 57) 5 falling falling trend -2.8 (-4.3, -1.3)
Bronx County No 22.7 (20.9, 24.6) 2 (1, 12) 125 falling falling trend -3.2 (-3.8, -2.5)
Broome County No 21.3 (17.8, 25.3) 3 (1, 34) 27 falling falling trend -2.3 (-3.2, -1.4)
Cattaraugus County Yes 16.5 (11.7, 22.7) 31 (2, 56) 8 rising rising trend 20.9 (4.4, 39.9)
Cayuga County Yes 13.4 (9.2, 19.1) 50 (6, 57) 7 falling falling trend -3.2 (-4.7, -1.7)
Chautauqua County Yes 14.7 (11.2, 18.9) 44 (7, 57) 13 falling falling trend -4.5 (-5.5, -3.5)
Chemung County Yes 14.5 (10.2, 20.0) 46 (5, 57) 8 falling falling trend -3.0 (-4.5, -1.4)
Chenango County No 21.2 (14.6, 30.1) 4 (1, 54) 7 falling falling trend -2.2 (-3.8, -0.6)
Clinton County Yes 15.2 (10.6, 21.3) 42 (2, 57) 7 falling falling trend -3.2 (-4.8, -1.7)
Columbia County Yes 12.4 (8.2, 18.3) 54 (11, 57) 6 falling falling trend -3.9 (-5.3, -2.4)
Delaware County Yes 16.1 (10.8, 23.8) 36 (1, 57) 6 falling falling trend -3.9 (-5.5, -2.3)
Dutchess County Yes 16.7 (14.1, 19.8) 26 (7, 50) 29 falling falling trend -3.0 (-3.8, -2.2)
Erie County No 18.8 (17.2, 20.6) 12 (5, 33) 99 falling falling trend -3.0 (-3.5, -2.6)
Essex County Yes 16.9 (10.8, 25.9) 25 (1, 57) 5 falling falling trend -4.3 (-6.2, -2.3)
Franklin County Yes 16.2 (10.1, 24.7) 34 (1, 57) 4 falling falling trend -2.6 (-4.3, -0.9)
Fulton County Yes 16.6 (10.8, 24.6) 28 (1, 57) 5 falling falling trend -2.8 (-4.0, -1.5)
Genesee County No 25.0 (18.1, 33.8) 1 (1, 43) 9 stable stable trend 11.1 (-3.7, 28.3)
Greene County Yes 14.6 (9.6, 21.9) 45 (3, 57) 5 falling falling trend -2.0 (-3.8, -0.2)
Herkimer County No 17.4 (12.1, 24.5) 24 (1, 56) 7 falling falling trend -3.4 (-4.9, -1.8)
Jefferson County Yes 16.5 (11.8, 22.4) 30 (1, 56) 8 falling falling trend -4.0 (-5.4, -2.6)
Kings County No 17.9 (16.8, 19.0) 21 (9, 35) 197 falling falling trend -8.7 (-15.7, -1.1)
Livingston County No 18.1 (12.5, 25.5) 20 (1, 56) 7 falling falling trend -3.1 (-4.4, -1.7)
Madison County No 18.8 (13.2, 26.0) 13 (1, 56) 8 falling falling trend -2.8 (-4.2, -1.4)
Monroe County No 19.3 (17.4, 21.3) 9 (4, 31) 78 stable stable trend 0.8 (-1.1, 2.7)
Montgomery County Yes 12.5 (7.4, 20.0) 53 (4, 57) 4 falling falling trend -3.1 (-4.7, -1.4)
Nassau County Yes 13.9 (12.7, 15.1) 48 (32, 53) 112 falling falling trend -3.7 (-4.0, -3.3)
New York County Yes 16.6 (15.4, 17.9) 29 (15, 43) 143 falling falling trend -3.5 (-3.9, -3.1)
Niagara County No 18.6 (15.3, 22.3) 15 (2, 48) 24 falling falling trend -3.0 (-3.9, -2.1)
Oneida County Yes 16.1 (13.3, 19.5) 35 (8, 53) 23 falling falling trend -3.8 (-4.6, -2.9)
Onondaga County Yes 15.2 (13.2, 17.6) 41 (15, 53) 39 falling falling trend -3.3 (-4.0, -2.6)
Ontario County Yes 15.7 (11.7, 20.8) 38 (3, 56) 11 falling falling trend -3.1 (-4.2, -1.9)
Orange County No 17.6 (14.8, 20.7) 23 (5, 48) 29 falling falling trend -2.9 (-3.6, -2.1)
Orleans County Yes 16.2 (9.6, 26.0) 33 (1, 57) 4
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*
Oswego County Yes 9.1 (6.0, 13.3) 57 (38, 57) 6 falling falling trend -3.9 (-5.4, -2.3)
Otsego County No 20.3 (14.6, 27.9) 8 (1, 54) 8 falling falling trend -3.2 (-4.4, -1.9)
Putnam County Yes 11.2 (7.5, 16.1) 56 (21, 57) 6 falling falling trend -4.6 (-5.9, -3.4)
Queens County Yes 15.7 (14.7, 16.8) 40 (21, 47) 179 falling falling trend -3.0 (-3.3, -2.6)
Rensselaer County Yes 12.3 (9.1, 16.3) 55 (17, 57) 10 falling falling trend -3.8 (-5.0, -2.7)
Richmond County Yes 16.0 (13.8, 18.6) 37 (10, 51) 37 falling falling trend -3.4 (-4.0, -2.9)
Rockland County Yes 13.4 (11.0, 16.2) 51 (24, 56) 23 falling falling trend -4.1 (-4.9, -3.2)
Saratoga County No 19.0 (15.6, 22.8) 10 (1, 46) 23 falling falling trend -2.9 (-3.9, -2.0)
Schenectady County No 18.9 (15.1, 23.6) 11 (1, 50) 17 falling falling trend -2.9 (-3.8, -1.9)
Schoharie County No 20.6 (13.2, 31.4) 7 (1, 56) 5
*
*
St. Lawrence County Yes 14.1 (10.2, 19.1) 47 (7, 57) 9 falling falling trend -4.0 (-5.0, -2.9)
Steuben County No 18.6 (14.1, 24.3) 14 (1, 54) 12 falling falling trend -3.8 (-4.9, -2.6)
Suffolk County Yes 16.3 (15.1, 17.6) 32 (17, 45) 133 stable stable trend 0.4 (-2.8, 3.6)
Sullivan County Yes 13.5 (9.1, 19.4) 49 (6, 57) 6 falling falling trend -5.5 (-7.7, -3.1)
Tioga County Yes 12.6 (7.9, 19.6) 52 (7, 57) 4 falling falling trend -4.3 (-6.0, -2.4)
Tompkins County No 18.3 (13.1, 25.0) 17 (1, 55) 8 falling falling trend -4.0 (-5.1, -2.8)
Ulster County Yes 16.6 (13.4, 20.5) 27 (5, 53) 19 falling falling trend -4.2 (-4.9, -3.4)
Warren County No 18.3 (13.2, 25.2) 16 (1, 55) 9
*
*
Washington County Yes 15.2 (10.3, 21.8) 43 (2, 57) 6 falling falling trend -3.3 (-4.7, -1.9)
Wayne County No 17.8 (13.1, 23.8) 22 (1, 55) 10 falling falling trend -3.6 (-4.7, -2.4)
Westchester County Yes 15.7 (14.2, 17.3) 39 (17, 49) 86 falling falling trend -3.3 (-3.7, -2.8)
Wyoming County No 21.1 (13.2, 32.1) 5 (1, 56) 5 falling falling trend -2.5 (-4.1, -0.9)
Yates County No 20.8 (12.0, 34.3) 6 (1, 57) 3
*
*
Cortland County ***
*
*
3 or fewer
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Seneca County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 11/26/2022 1:59 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.

* 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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