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Death Rates Table

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Death Rate Report for New York by County

Liver & Bile Duct, 2013-2017

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

Sorted by Name
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 *** 6.1 (5.9, 6.2) N/A 1,471 stable stable trend -1.6 (-3.6, 0.6)
United States *** 6.6 (6.5, 6.6) N/A 25,633 rising rising trend 0.7 (0.1, 1.3)
Yates County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Westchester County *** 4.9 (4.4, 5.5) 37 (21, 45) 63 rising rising trend 1.5 (0.8, 2.2)
Wayne County *** 3.9 (2.5, 5.9) 47 (13, 50) 5
*
*
Washington County *** 5.7 (3.6, 8.7) 25 (2, 50) 5
*
*
Warren County *** 5.9 (3.9, 8.6) 20 (2, 50) 6 stable stable trend 1.6 (-0.5, 3.8)
Ulster County *** 7.4 (6.0, 9.2) 4 (1, 32) 19 rising rising trend 3.2 (1.9, 4.5)
Tompkins County *** 5.6 (3.8, 8.0) 27 (2, 50) 7
*
*
Tioga County *** 6.0 (3.6, 9.5) 18 (1, 50) 4
*
*
Sullivan County *** 5.8 (3.9, 8.3) 21 (2, 49) 7 stable stable trend 0.0 (-2.4, 2.3)
Suffolk County *** 5.6 (5.2, 6.2) 26 (13, 37) 107 stable stable trend -5.0 (-16.5, 8.1)
Steuben County *** 5.0 (3.4, 7.1) 35 (4, 50) 7 stable stable trend 1.9 (-0.1, 4.0)
St. Lawrence County *** 4.8 (3.3, 6.8) 40 (4, 50) 7 stable stable trend 1.5 (-0.6, 3.7)
Seneca County *** 7.5 (4.2, 12.5) 3 (1, 50) 3
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Schoharie County ***
*
*
3 or fewer
*
*
Schenectady County *** 4.4 (3.2, 6.0) 44 (12, 50) 9 rising rising trend 2.4 (0.6, 4.3)
Saratoga County *** 5.4 (4.3, 6.8) 31 (6, 48) 16 rising rising trend 1.6 (0.1, 3.1)
Rockland County *** 4.1 (3.2, 5.1) 46 (26, 50) 16 stable stable trend 0.3 (-0.8, 1.5)
Richmond County *** 6.8 (5.9, 7.8) 7 (2, 30) 40 rising rising trend 1.3 (0.4, 2.3)
Rensselaer County *** 6.3 (4.8, 8.1) 15 (2, 46) 13 stable stable trend 0.9 (-0.8, 2.6)
Queens County *** 6.5 (6.1, 7.0) 11 (5, 24) 176 rising rising trend 0.9 (0.5, 1.3)
Putnam County *** 4.3 (2.9, 6.4) 45 (7, 50) 6
*
*
Otsego County *** 3.9 (2.1, 6.6) 49 (6, 50) 3
*
*
Oswego County *** 4.9 (3.4, 6.9) 36 (4, 50) 7 rising rising trend 3.2 (0.8, 5.7)
Orleans County *** 8.3 (5.2, 12.7) 2 (1, 47) 5
*
*
Orange County *** 6.6 (5.5, 7.8) 10 (2, 36) 28 rising rising trend 2.0 (0.7, 3.3)
Ontario County *** 4.6 (3.2, 6.6) 43 (6, 50) 7
*
*
Onondaga County *** 6.1 (5.2, 7.1) 16 (4, 38) 36 stable stable trend -6.1 (-21.2, 11.8)
Oneida County *** 5.2 (4.1, 6.5) 34 (7, 48) 17 rising rising trend 2.6 (1.3, 3.9)
Niagara County *** 5.7 (4.5, 7.2) 23 (4, 47) 17 rising rising trend 2.5 (1.1, 3.9)
New York County *** 6.5 (6.0, 7.0) 12 (5, 26) 128 falling falling trend -3.3 (-5.9, -0.8)
Nassau County *** 4.7 (4.2, 5.2) 42 (27, 47) 86 rising rising trend 1.8 (1.3, 2.4)
Montgomery County *** 4.9 (2.8, 8.0) 39 (2, 50) 4
*
*
Monroe County *** 5.6 (4.9, 6.3) 28 (11, 41) 52 rising rising trend 2.8 (2.0, 3.6)
Madison County ***
*
*
3 or fewer
*
*
Livingston County *** 7.3 (4.9, 10.6) 5 (1, 48) 6
*
*
Lewis County ***
*
*
3 or fewer
*
*
Kings County *** 7.0 (6.5, 7.4) 6 (3, 18) 192 rising rising trend 1.5 (1.0, 2.0)
Jefferson County *** 3.3 (2.0, 5.3) 50 (21, 50) 4 stable stable trend -0.6 (-3.2, 2.1)
Herkimer County *** 4.9 (3.1, 7.5) 38 (3, 50) 5 stable stable trend 1.6 (-1.1, 4.5)
Hamilton County ***
*
*
3 or fewer
*
*
Greene County *** 6.1 (3.9, 9.5) 17 (1, 50) 5
*
*
Genesee County *** 3.9 (2.2, 6.4) 48 (7, 50) 3
*
*
Fulton County ***
*
*
3 or fewer
*
*
Franklin County ***
*
*
3 or fewer
*
*
Essex County ***
*
*
3 or fewer
*
*
Erie County *** 5.7 (5.1, 6.4) 24 (10, 38) 72 rising rising trend 2.2 (1.6, 2.9)
Dutchess County *** 5.3 (4.3, 6.4) 32 (8, 47) 21 rising rising trend 2.0 (0.8, 3.2)
Delaware County *** 6.8 (4.3, 10.4) 8 (1, 49) 5
*
*
Cortland County *** 5.9 (3.5, 9.6) 19 (1, 50) 4
*
*
Columbia County *** 5.8 (3.9, 8.5) 22 (2, 49) 6 rising rising trend 2.5 (0.5, 4.6)
Clinton County *** 5.2 (3.4, 7.7) 33 (2, 50) 5
*
*
Chenango County ***
*
*
3 or fewer
*
*
Chemung County *** 5.4 (3.7, 7.8) 30 (2, 50) 6 stable stable trend 0.9 (-1.1, 3.0)
Chautauqua County *** 5.6 (4.2, 7.3) 29 (3, 48) 11 stable stable trend 1.7 (-0.1, 3.4)
Cayuga County *** 6.4 (4.4, 9.1) 13 (1, 48) 7
*
*
Cattaraugus County *** 4.7 (3.1, 7.1) 41 (4, 50) 5
*
*
Broome County *** 6.3 (5.0, 7.9) 14 (2, 42) 17 rising rising trend 2.5 (1.4, 3.7)
Bronx County *** 9.7 (9.0, 10.5) 1 (1, 4) 142 stable stable trend 0.5 (-1.7, 2.6)
Allegany County ***
*
*
3 or fewer
*
*
Albany County *** 6.6 (5.5, 7.9) 9 (2, 35) 26 rising rising trend 2.8 (1.7, 3.8)
Notes:
Created by statecancerprofiles.cancer.gov on 08/12/2020 3:19 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 1969-2017 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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