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Death Rates Table

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Death Rate Report for New York by County

Pancreas, 2015-2019

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
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 *** 11.0 (10.8, 11.1) N/A 2,721 stable stable trend -0.1 (-0.2, 0.0)
United States *** 11.1 (11.0, 11.1) N/A 43,836 rising rising trend 0.3 (0.2, 0.3)
Kings County *** 10.4 (9.9, 11.0) 42 (27, 54) 290 falling falling trend -2.3 (-4.1, -0.5)
Chemung County *** 12.1 (9.5, 15.3) 16 (1, 58) 16 stable stable trend -1.2 (-2.6, 0.2)
Schoharie County *** 9.5 (5.8, 15.1) 57 (2, 61) 4 stable stable trend -0.9 (-2.7, 1.0)
Columbia County *** 10.9 (8.1, 14.5) 35 (2, 61) 11 stable stable trend -0.8 (-2.3, 0.6)
Livingston County *** 10.6 (7.7, 14.4) 40 (2, 61) 9 stable stable trend -0.8 (-2.1, 0.7)
Seneca County *** 12.1 (8.0, 17.7) 18 (1, 61) 6 stable stable trend -0.8 (-2.3, 0.7)
Essex County *** 10.3 (7.0, 15.1) 44 (2, 61) 6 stable stable trend -0.7 (-2.2, 0.9)
Madison County *** 9.9 (7.3, 13.3) 52 (5, 61) 10 stable stable trend -0.7 (-2.3, 0.8)
Rensselaer County *** 10.0 (8.1, 12.3) 50 (10, 61) 20 stable stable trend -0.7 (-1.6, 0.2)
Ulster County *** 10.1 (8.4, 12.1) 48 (11, 60) 27 stable stable trend -0.7 (-1.8, 0.4)
Allegany County *** 8.9 (5.9, 13.0) 59 (5, 61) 6 stable stable trend -0.6 (-2.1, 1.0)
Franklin County *** 10.8 (7.6, 15.1) 37 (2, 61) 7 stable stable trend -0.6 (-2.5, 1.3)
Richmond County *** 11.9 (10.7, 13.3) 19 (6, 47) 71 falling falling trend -0.6 (-1.0, -0.1)
Rockland County *** 11.1 (9.7, 12.7) 32 (8, 56) 44 stable stable trend -0.6 (-1.3, 0.1)
Saratoga County *** 9.9 (8.4, 11.6) 54 (15, 60) 31 stable stable trend -0.6 (-1.3, 0.0)
Sullivan County *** 14.0 (10.9, 17.8) 5 (1, 55) 15 stable stable trend -0.6 (-1.8, 0.6)
Cayuga County *** 6.5 (4.6, 9.1) 61 (44, 61) 8 stable stable trend -0.5 (-1.8, 0.9)
Westchester County *** 10.6 (9.8, 11.4) 39 (20, 55) 138 falling falling trend -0.5 (-0.8, -0.2)
Cattaraugus County *** 8.8 (6.4, 11.8) 60 (13, 61) 10 stable stable trend -0.4 (-1.4, 0.6)
Genesee County *** 13.3 (10.1, 17.5) 9 (1, 58) 12 stable stable trend -0.4 (-2.0, 1.3)
Otsego County *** 9.9 (7.2, 13.4) 55 (4, 61) 10 stable stable trend -0.4 (-2.2, 1.4)
Putnam County *** 11.4 (8.9, 14.4) 25 (3, 60) 15 stable stable trend -0.4 (-1.6, 0.9)
Suffolk County *** 11.4 (10.7, 12.1) 27 (14, 44) 220 stable stable trend -0.4 (-0.7, 0.0)
Chautauqua County *** 10.4 (8.4, 12.8) 43 (6, 60) 20 stable stable trend -0.3 (-1.3, 0.6)
Orange County *** 11.8 (10.3, 13.4) 20 (5, 52) 50 stable stable trend -0.3 (-0.9, 0.3)
Yates County *** 11.0 (6.9, 17.3) 33 (1, 61) 4 stable stable trend -0.3 (-1.7, 1.2)
Bronx County *** 10.2 (9.4, 10.9) 47 (27, 57) 149 stable stable trend -0.2 (-0.6, 0.2)
New York County *** 10.3 (9.7, 11.0) 45 (27, 55) 212 stable stable trend -0.2 (-0.6, 0.1)
Niagara County *** 11.1 (9.4, 13.0) 31 (7, 58) 33 stable stable trend -0.2 (-1.0, 0.5)
Queens County *** 9.8 (9.2, 10.3) 56 (35, 57) 274 stable stable trend -0.2 (-0.5, 0.1)
Tioga County *** 9.9 (6.9, 14.0) 53 (3, 61) 7 stable stable trend -0.2 (-1.8, 1.4)
Montgomery County *** 14.3 (10.6, 19.1) 3 (1, 56) 10 stable stable trend -0.1 (-1.5, 1.3)
Onondaga County *** 11.6 (10.4, 12.9) 23 (7, 51) 71 stable stable trend -0.1 (-0.6, 0.4)
St. Lawrence County *** 11.2 (8.8, 14.0) 28 (3, 60) 16 stable stable trend -0.1 (-1.1, 1.0)
Dutchess County *** 11.1 (9.7, 12.7) 30 (8, 56) 44 stable stable trend 0.0 (-0.6, 0.6)
Herkimer County *** 10.9 (8.1, 14.6) 34 (3, 61) 10 stable stable trend 0.0 (-1.3, 1.3)
Nassau County *** 11.7 (11.0, 12.4) 22 (11, 41) 222 stable stable trend 0.0 (-0.2, 0.2)
Schenectady County *** 13.0 (10.8, 15.5) 10 (2, 52) 26 stable stable trend 0.0 (-0.8, 0.7)
Tompkins County *** 11.6 (8.8, 15.0) 24 (2, 60) 13 stable stable trend 0.1 (-1.2, 1.3)
Wayne County *** 12.2 (9.6, 15.4) 14 (1, 58) 15 stable stable trend 0.1 (-1.0, 1.3)
Erie County *** 11.7 (10.9, 12.6) 21 (9, 43) 148 stable stable trend 0.2 (-0.2, 0.6)
Monroe County *** 12.7 (11.7, 13.8) 12 (4, 32) 122 stable stable trend 0.2 (-0.3, 0.7)
Albany County *** 11.2 (9.7, 12.8) 29 (7, 56) 44 stable stable trend 0.3 (-0.3, 1.0)
Oneida County *** 10.8 (9.3, 12.6) 36 (8, 58) 36 stable stable trend 0.3 (-0.3, 0.9)
Broome County *** 13.0 (11.1, 15.1) 11 (2, 45) 37 stable stable trend 0.4 (-0.5, 1.3)
Clinton County *** 10.3 (7.7, 13.5) 46 (4, 61) 11 stable stable trend 0.4 (-1.4, 2.2)
Warren County *** 9.2 (6.8, 12.4) 58 (9, 61) 10 stable stable trend 0.4 (-1.0, 1.9)
Fulton County *** 13.6 (10.1, 18.0) 7 (1, 57) 11 stable stable trend 0.5 (-0.7, 1.6)
Ontario County *** 10.5 (8.3, 13.1) 41 (6, 60) 17 stable stable trend 0.6 (-0.6, 1.7)
Jefferson County *** 10.8 (8.2, 13.9) 38 (3, 60) 12 stable stable trend 0.7 (-0.7, 2.1)
Oswego County *** 13.3 (10.8, 16.4) 8 (1, 52) 20 stable stable trend 0.7 (-0.5, 1.9)
Washington County *** 12.2 (9.1, 16.2) 15 (1, 60) 11 stable stable trend 0.7 (-1.1, 2.5)
Delaware County *** 10.0 (6.9, 14.4) 49 (3, 61) 7 stable stable trend 0.8 (-0.6, 2.2)
Steuben County *** 12.1 (9.6, 15.1) 17 (2, 58) 17 stable stable trend 0.8 (-0.6, 2.2)
Chenango County *** 14.1 (10.4, 18.8) 4 (1, 57) 10 stable stable trend 1.0 (-0.6, 2.6)
Orleans County *** 15.1 (10.8, 20.7) 2 (1, 58) 8 stable stable trend 1.0 (-0.9, 2.9)
Greene County *** 16.8 (12.7, 22.0) 1 (1, 40) 12 rising rising trend 1.5 (0.2, 2.8)
Cortland County *** 11.4 (7.8, 16.1) 26 (1, 61) 7 stable stable trend 20.2 (-0.2, 44.8)
Lewis County *** 9.9 (5.9, 15.9) 51 (1, 61) 4
*
*
Schuyler County *** 13.7 (7.8, 22.8) 6 (1, 61) 3
*
*
Wyoming County *** 12.6 (8.7, 18.0) 13 (1, 60) 7
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2021 8:01 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 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 1969-2018 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 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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