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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

New York Counties versus United States

Pancreas

All Races, Both Sexes

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

 sort by priority index descending
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 - rising rising trend - 44,868 11.1 (11.0, 11.1) - 0.1 (0.0, 0.2)
New York - falling falling trend - 2,768 11.0 (10.8, 11.2) - -0.1 (-0.2, 0.0)
Broome County 4 stable stable trend higher 38 13.1 (11.3, 15.2) 1.2 0.4 (-0.4, 1.3)
Monroe County 4 stable stable trend higher 124 12.5 (11.5, 13.5) 1.1 0.2 (-0.3, 0.6)
Orleans County 4 stable stable trend higher 9 16.6 (12.0, 22.4) 1.5 1.0 (-0.8, 2.8)
Sullivan County 4 stable stable trend higher 16 15.4 (12.2, 19.4) 1.4 -0.2 (-1.4, 0.9)
Albany County 6 stable stable trend similar 46 11.5 (10.0, 13.1) 1.0 0.4 (-0.2, 1.0)
Allegany County 6 stable stable trend similar 6 9.7 (6.5, 14.0) 0.9 -0.3 (-1.7, 1.2)
Chautauqua County 6 stable stable trend similar 19 10.1 (8.1, 12.5) 0.9 -0.3 (-1.1, 0.6)
Chemung County 6 stable stable trend similar 15 11.9 (9.3, 15.1) 1.1 -1.2 (-2.4, 0.1)
Chenango County 6 stable stable trend similar 11 14.7 (11.0, 19.5) 1.3 0.8 (-0.7, 2.3)
Clinton County 6 stable stable trend similar 13 11.5 (8.8, 14.8) 1.0 0.4 (-1.2, 2.1)
Columbia County 6 stable stable trend similar 11 11.1 (8.3, 14.8) 1.0 -0.7 (-2.1, 0.7)
Cortland County 6 stable stable trend similar 7 11.0 (7.6, 15.6) 1.0 -0.2 (-1.9, 1.5)
Delaware County 6 stable stable trend similar 8 10.2 (7.0, 14.5) 0.9 0.5 (-0.9, 1.9)
Dutchess County 6 stable stable trend similar 44 10.6 (9.3, 12.2) 1.0 -0.2 (-0.7, 0.4)
Erie County 6 stable stable trend similar 151 11.9 (11.0, 12.8) 1.1 0.2 (-0.2, 0.6)
Essex County 6 stable stable trend similar 7 10.6 (7.3, 15.3) 1.0 -0.3 (-1.8, 1.1)
Franklin County 6 stable stable trend similar 8 11.3 (8.0, 15.7) 1.0 -0.4 (-2.2, 1.4)
Fulton County 6 stable stable trend similar 10 13.2 (9.8, 17.6) 1.2 0.3 (-0.9, 1.4)
Genesee County 6 stable stable trend similar 11 13.0 (9.8, 17.0) 1.2 -0.6 (-2.1, 1.0)
Greene County 6 stable stable trend similar 10 14.3 (10.5, 19.2) 1.3 1.3 (0.0, 2.6)
Herkimer County 6 stable stable trend similar 10 10.3 (7.6, 13.8) 0.9 -0.1 (-1.3, 1.1)
Jefferson County 6 stable stable trend similar 14 12.2 (9.4, 15.4) 1.1 0.9 (-0.4, 2.2)
Livingston County 6 stable stable trend similar 9 10.0 (7.2, 13.6) 0.9 -1.1 (-2.5, 0.4)
Madison County 6 stable stable trend similar 10 10.2 (7.6, 13.6) 0.9 -0.7 (-2.1, 0.7)
Montgomery County 6 stable stable trend similar 10 14.5 (10.7, 19.3) 1.3 0.1 (-1.2, 1.4)
Nassau County 6 stable stable trend similar 224 11.6 (11.0, 12.4) 1.1 -0.1 (-0.3, 0.2)
New York County 6 stable stable trend similar 210 10.0 (9.4, 10.6) 0.9 -0.3 (-0.6, 0.0)
Niagara County 6 stable stable trend similar 36 11.9 (10.2, 13.9) 1.1 0.0 (-0.7, 0.8)
Oneida County 6 stable stable trend similar 37 11.2 (9.6, 13.0) 1.0 0.3 (-0.2, 0.9)
Onondaga County 6 stable stable trend similar 72 11.8 (10.5, 13.1) 1.1 -0.1 (-0.5, 0.4)
Ontario County 6 stable stable trend similar 19 11.2 (9.1, 13.9) 1.0 0.4 (-0.7, 1.5)
Orange County 6 stable stable trend similar 50 11.6 (10.2, 13.1) 1.0 -0.2 (-0.8, 0.4)
Oswego County 6 stable stable trend similar 19 12.4 (10.0, 15.3) 1.1 0.4 (-0.8, 1.7)
Otsego County 6 stable stable trend similar 11 11.5 (8.7, 15.3) 1.0 0.2 (-1.5, 1.9)
Putnam County 6 stable stable trend similar 16 11.5 (9.0, 14.4) 1.0 -0.2 (-1.4, 0.9)
Rensselaer County 6 stable stable trend similar 22 10.9 (8.9, 13.2) 1.0 -0.6 (-1.5, 0.2)
Schenectady County 6 stable stable trend similar 27 13.1 (10.9, 15.6) 1.2 0.2 (-0.5, 0.8)
Schoharie County 6 stable stable trend similar 5 10.5 (6.6, 16.1) 0.9 -0.9 (-2.6, 0.8)
Seneca County 6 stable stable trend similar 6 11.2 (7.4, 16.5) 1.0 -1.0 (-2.5, 0.4)
St. Lawrence County 6 stable stable trend similar 18 11.9 (9.6, 14.8) 1.1 0.3 (-0.7, 1.3)
Steuben County 6 stable stable trend similar 18 12.9 (10.3, 16.0) 1.2 0.6 (-0.8, 2.0)
Suffolk County 6 stable stable trend similar 227 11.5 (10.9, 12.2) 1.0 -0.3 (-0.7, 0.0)
Tioga County 6 stable stable trend similar 7 9.2 (6.3, 13.1) 0.8 -0.5 (-2.0, 1.1)
Tompkins County 6 stable stable trend similar 13 11.4 (8.7, 14.7) 1.0 -0.1 (-1.3, 1.1)
Ulster County 6 stable stable trend similar 27 9.8 (8.2, 11.7) 0.9 -0.9 (-1.9, 0.2)
Warren County 6 stable stable trend similar 10 9.2 (6.8, 12.4) 0.8 0.2 (-1.1, 1.6)
Washington County 6 stable stable trend similar 13 14.0 (10.7, 18.2) 1.3 0.8 (-0.8, 2.4)
Wayne County 6 stable stable trend similar 15 12.4 (9.7, 15.6) 1.1 0.0 (-1.1, 1.1)
Yates County 6 stable stable trend similar 5 11.9 (7.5, 18.3) 1.1 -0.1 (-1.4, 1.3)
Bronx County 7 stable stable trend lower 149 9.9 (9.2, 10.7) 0.9 -0.3 (-0.7, 0.1)
Cattaraugus County 7 stable stable trend lower 9 8.1 (5.9, 11.0) 0.7 -0.5 (-1.5, 0.4)
Cayuga County 7 stable stable trend lower 9 8.0 (5.8, 10.8) 0.7 -0.3 (-1.6, 1.0)
Queens County 7 stable stable trend lower 276 9.6 (9.1, 10.2) 0.9 -0.2 (-0.5, 0.0)
Kings County 8 falling falling trend similar 290 10.2 (9.7, 10.8) 0.9 -2.1 (-3.6, -0.6)
Richmond County 8 falling falling trend similar 74 12.2 (11.0, 13.5) 1.1 -0.5 (-1.0, -0.1)
Rockland County 8 falling falling trend similar 42 10.3 (9.0, 11.9) 0.9 -0.7 (-1.4, -0.1)
Saratoga County 8 falling falling trend similar 32 9.8 (8.3, 11.5) 0.9 -0.7 (-1.3, 0.0)
Westchester County 8 falling falling trend similar 145 11.0 (10.2, 11.8) 1.0 -0.5 (-0.7, -0.2)
Lewis County
**
** similar 4 10.0 (6.1, 16.0) 0.9
**
Schuyler County
**
** similar 3 12.8 (7.1, 21.8) 1.2
**
Wyoming County
**
** similar 8 15.0 (10.7, 20.6) 1.4
**
Hamilton County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/29/2024 5:12 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 Version 4.8.0.0. 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 (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 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

Trend for the following could not be reliably determined due to small number of deaths per year:
Lewis County, Schuyler County, Wyoming 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 does not include Puerto Rico.

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