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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

New York Counties versus United States

Prostate

All Races, Male

Sorted by priority index

Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index ascending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling - 32,830 19.2 (19.1, 19.3) - -0.6 (-0.9, -0.2)
New York - falling - 1,642 15.4 (15.1, 15.7) - -2.6 (-2.9, -1.5)
Chautauqua County 9 falling lower 13 15.3 (11.8, 19.7) 0.8 -3.8 (-5.9, -2.0)
Delaware County 9 falling lower 5 12.7 (8.1, 19.7) 0.7 -3.8 (-6.8, -1.1)
Kings County 9 falling lower 175 14.8 (13.8, 15.8) 0.8 -6.5 (-11.5, -3.5)
New York County 9 falling lower 127 14.1 (13.0, 15.2) 0.7 -4.2 (-4.9, -3.6)
Oneida County 9 falling lower 21 14.9 (12.1, 18.1) 0.8 -2.8 (-4.1, -1.6)
Onondaga County 9 falling lower 39 14.9 (12.8, 17.2) 0.8 -2.5 (-3.8, -1.2)
Ontario County 9 falling lower 9 13.4 (9.7, 18.1) 0.7 -3.8 (-6.0, -1.9)
Orange County 9 falling lower 27 15.2 (12.7, 18.1) 0.8 -3.0 (-4.6, -1.5)
Oswego County 9 falling lower 8 13.5 (9.5, 18.6) 0.7 -3.5 (-6.7, -0.5)
Putnam County 9 falling lower 7 12.7 (8.8, 17.8) 0.7 -2.9 (-5.7, -0.1)
Queens County 9 falling lower 148 11.9 (11.0, 12.8) 0.6 -9.5 (-14.5, -6.1)
Rensselaer County 9 falling lower 12 15.2 (11.6, 19.7) 0.8 -3.7 (-5.8, -1.9)
Richmond County 9 falling lower 33 13.4 (11.3, 15.7) 0.7 -3.1 (-4.0, -2.2)
Rockland County 9 falling lower 17 10.1 (8.1, 12.5) 0.5 -4.1 (-5.8, -2.4)
Ulster County 9 falling lower 18 15.8 (12.6, 19.5) 0.8 -3.5 (-4.4, -2.6)
Wayne County 9 falling lower 8 14.4 (10.2, 19.8) 0.7 -3.5 (-5.9, -1.2)
Westchester County 9 falling lower 77 13.6 (12.2, 15.0) 0.7 -3.5 (-4.3, -2.7)
Albany County 8 falling similar 28 17.2 (14.4, 20.3) 0.9 -1.9 (-3.3, -0.6)
Bronx County 8 falling similar 117 19.7 (18.1, 21.4) 1.0 -3.3 (-4.0, -2.7)
Cattaraugus County 8 falling similar 7 15.4 (10.7, 21.5) 0.8 -3.6 (-6.4, -1.2)
Chenango County 8 falling similar 8 24.6 (17.5, 33.9) 1.3 -3.0 (-5.7, -0.5)
Dutchess County 8 falling similar 31 18.1 (15.3, 21.2) 0.9 -2.3 (-3.5, -1.1)
Erie County 8 falling similar 93 17.3 (15.8, 19.0) 0.9 -2.6 (-3.4, -1.8)
Lewis County 8 falling similar 4 23.8 (14.1, 37.8) 1.2 -3.8 (-7.7, -0.1)
Madison County 8 falling similar 7 16.3 (11.1, 23.3) 0.9 -2.5 (-4.8, -0.1)
Montgomery County 8 falling similar 4 13.9 (8.5, 21.6) 0.7 -2.8 (-5.8, -0.3)
Otsego County 8 falling similar 8 20.9 (14.9, 28.8) 1.1 -2.9 (-4.5, -1.3)
Schenectady County 8 falling similar 17 20.3 (16.2, 25.2) 1.1 -1.8 (-3.8, -0.1)
St. Lawrence County 8 falling similar 10 17.9 (13.3, 23.8) 0.9 -2.7 (-4.8, -0.7)
Sullivan County 8 falling similar 7 14.3 (9.7, 20.3) 0.7 -4.9 (-6.7, -3.4)
Tompkins County 8 falling similar 8 15.8 (11.1, 21.8) 0.8 -2.6 (-4.6, -0.4)
Cayuga County 7 stable lower 6 12.1 (8.0, 17.5) 0.6 -2.5 (-5.3, 0.2)
Nassau County 7 stable lower 110 13.7 (12.5, 14.9) 0.7 -2.0 (-3.2, 2.8)
Suffolk County 7 stable lower 136 16.5 (15.3, 17.8) 0.9 -0.1 (-1.9, 5.1)
Allegany County 6 stable similar 7 24.1 (16.8, 33.8) 1.3 -2.3 (-5.1, 0.4)
Broome County 6 stable similar 27 21.9 (18.4, 26.0) 1.1 2.2 (-3.1, 17.4)
Chemung County 6 stable similar 9 17.6 (12.8, 23.8) 0.9 -1.9 (-4.0, 0.2)
Clinton County 6 stable similar 7 16.2 (11.1, 22.9) 0.8 -1.6 (-4.1, 1.2)
Columbia County 6 stable similar 8 16.8 (12.1, 23.3) 0.9 21.9 (-2.7, 45.2)
Essex County 6 stable similar 6 19.2 (12.6, 28.7) 1.0 4.6 (-0.8, 18.9)
Franklin County 6 stable similar 5 18.1 (11.6, 27.2) 0.9 -0.4 (-3.9, 3.8)
Fulton County 6 stable similar 7 21.6 (14.7, 30.7) 1.1 10.2 (-0.9, 33.1)
Genesee County 6 stable similar 7 19.9 (13.9, 27.9) 1.0 -1.2 (-4.6, 2.6)
Greene County 6 stable similar 7 18.2 (12.5, 26.0) 0.9 -2.2 (-5.4, 1.2)
Herkimer County 6 stable similar 8 19.1 (13.4, 26.6) 1.0 4.9 (-2.9, 35.9)
Jefferson County 6 stable similar 10 18.3 (13.4, 24.4) 1.0 17.7 (-2.5, 33.9)
Livingston County 6 stable similar 7 18.1 (12.4, 25.7) 0.9 2.3 (-3.2, 19.7)
Monroe County 6 stable similar 74 18.0 (16.2, 20.0) 0.9 -0.5 (-1.8, 3.3)
Niagara County 6 stable similar 21 16.8 (13.7, 20.5) 0.9 -0.1 (-1.9, 6.8)
Saratoga County 6 stable similar 26 20.1 (16.7, 24.0) 1.0 -1.2 (-2.8, 0.6)
Seneca County 6 stable similar 4 16.6 (9.7, 26.9) 0.9 -2.5 (-5.3, 0.1)
Steuben County 6 stable similar 10 17.1 (12.7, 22.7) 0.9 -1.8 (-3.7, 0.1)
Tioga County 6 stable similar 5 14.0 (8.9, 21.3) 0.7 29.6 (-2.4, 59.2)
Washington County 6 stable similar 6 16.0 (10.9, 23.0) 0.8 -2.4 (-6.1, 1.2)
Cortland County 2 rising similar 4 17.4 (10.6, 27.1) 0.9 29.5 (11.3, 62.9)
Orleans County
**
** similar 7 29.3 (20.0, 41.8) 1.5
**
Schoharie County
**
** similar 5 20.4 (13.1, 31.2) 1.1
**
Warren County
**
** similar 8 17.3 (12.2, 24.1) 0.9
**
Yates County
**
** similar 4 24.5 (14.6, 39.0) 1.3
**
Hamilton County
**
**
*
3 or fewer
*
*
**
Schuyler County
**
**
*
3 or fewer
*
*
**
Wyoming County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/14/2026 6:32 am.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Hamilton County, Schuyler County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Orleans County, Schoharie County, Warren County, Yates County

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.

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