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Death Rates Table

Data Options

Death Rate Report for New York by County

Liver & Bile Duct, 2015-2019

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

Sorted by Count
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 ascending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
New York *** 5.8 (5.7, 6.0) N/A 1,459 falling falling trend -2.1 (-3.2, -1.0)
United States *** 6.6 (6.6, 6.7) N/A 27,015 stable stable trend -0.1 (-0.8, 0.7)
Kings County *** 6.5 (6.1, 7.0) 6 (3, 21) 185 stable stable trend 0.5 (-0.1, 1.1)
Queens County *** 6.2 (5.7, 6.6) 11 (5, 26) 174 rising rising trend 0.7 (0.4, 1.1)
Bronx County *** 9.0 (8.4, 9.8) 1 (1, 4) 136 stable stable trend -1.7 (-4.1, 0.9)
New York County *** 6.1 (5.7, 6.6) 12 (5, 28) 126 falling falling trend -3.4 (-5.1, -1.7)
Suffolk County *** 5.4 (4.9, 5.9) 28 (14, 39) 107 rising rising trend 1.8 (1.2, 2.3)
Nassau County *** 4.6 (4.2, 5.1) 41 (26, 48) 87 stable stable trend -6.4 (-15.2, 3.4)
Erie County *** 5.8 (5.2, 6.4) 21 (6, 36) 75 rising rising trend 2.1 (1.5, 2.7)
Westchester County *** 4.8 (4.3, 5.4) 35 (20, 47) 63 rising rising trend 1.2 (0.6, 1.9)
Monroe County *** 5.6 (4.9, 6.3) 26 (7, 40) 54 rising rising trend 2.3 (1.6, 3.1)
Richmond County *** 6.7 (5.8, 7.8) 4 (2, 28) 41 rising rising trend 1.3 (0.4, 2.1)
Onondaga County *** 5.3 (4.5, 6.3) 30 (8, 47) 33 stable stable trend -5.5 (-15.0, 5.1)
Orange County *** 6.5 (5.5, 7.7) 7 (2, 35) 29 rising rising trend 1.7 (0.5, 2.8)
Albany County *** 6.3 (5.2, 7.5) 9 (2, 38) 25 rising rising trend 2.4 (1.4, 3.3)
Dutchess County *** 4.8 (3.9, 5.9) 36 (12, 51) 20 rising rising trend 1.3 (0.2, 2.5)
Ulster County *** 7.0 (5.6, 8.7) 2 (1, 35) 19 rising rising trend 2.4 (1.0, 3.7)
Oneida County *** 5.7 (4.6, 7.1) 22 (3, 47) 19 rising rising trend 2.6 (1.5, 3.7)
Rockland County *** 4.5 (3.6, 5.6) 43 (15, 52) 18 stable stable trend 0.5 (-0.5, 1.6)
Niagara County *** 5.6 (4.5, 7.0) 25 (3, 47) 18 rising rising trend 2.6 (1.4, 3.8)
Broome County *** 6.2 (4.9, 7.8) 10 (2, 44) 17 rising rising trend 2.3 (1.3, 3.3)
Saratoga County *** 5.1 (4.0, 6.4) 32 (6, 50) 16 stable stable trend 1.2 (-0.1, 2.6)
Rensselaer County *** 5.9 (4.4, 7.7) 17 (2, 49) 12 stable stable trend 1.0 (-0.5, 2.5)
Schenectady County *** 5.7 (4.2, 7.4) 24 (2, 50) 11 rising rising trend 3.3 (1.7, 5.0)
Chautauqua County *** 5.5 (4.1, 7.3) 27 (2, 50) 11 stable stable trend 1.2 (-0.4, 2.9)
Oswego County *** 6.0 (4.3, 8.2) 13 (1, 50) 9 rising rising trend 2.8 (0.5, 5.0)
Ontario County *** 5.3 (3.8, 7.4) 29 (2, 52) 8
*
*
Chemung County *** 5.9 (4.2, 8.3) 15 (2, 52) 8 stable stable trend 1.0 (-0.7, 2.7)
St. Lawrence County *** 4.4 (3.0, 6.2) 44 (6, 53) 7 stable stable trend 1.5 (-0.4, 3.3)
Cayuga County *** 5.8 (3.9, 8.5) 18 (1, 52) 6
*
*
Steuben County *** 4.3 (2.9, 6.2) 46 (7, 53) 6 stable stable trend 1.8 (0.0, 3.5)
Warren County *** 5.7 (3.8, 8.4) 23 (1, 52) 6 stable stable trend 1.4 (-0.4, 3.3)
Putnam County *** 4.3 (2.8, 6.3) 45 (5, 53) 6
*
*
Sullivan County *** 4.9 (3.2, 7.2) 34 (2, 53) 6 stable stable trend -0.5 (-2.5, 1.6)
Tompkins County *** 4.8 (3.2, 7.0) 38 (3, 53) 6
*
*
Livingston County *** 6.5 (4.3, 9.6) 8 (1, 52) 6
*
*
Washington County *** 6.6 (4.2, 9.8) 5 (1, 52) 5
*
*
Wayne County *** 3.8 (2.5, 5.7) 51 (14, 53) 5
*
*
Columbia County *** 4.8 (3.1, 7.4) 37 (2, 53) 5 rising rising trend 2.0 (0.2, 3.9)
Clinton County *** 4.6 (2.9, 6.9) 42 (3, 53) 5
*
*
Jefferson County *** 4.0 (2.5, 6.0) 50 (7, 53) 5 stable stable trend -0.2 (-2.5, 2.0)
Delaware County *** 5.8 (3.4, 9.5) 20 (1, 53) 4
*
*
Greene County *** 5.0 (3.1, 8.1) 33 (2, 53) 4
*
*
Orleans County *** 6.9 (4.2, 11.0) 3 (1, 52) 4
*
*
Cattaraugus County *** 3.2 (1.9, 5.3) 53 (19, 53) 4
*
*
Cortland County *** 6.0 (3.5, 9.8) 14 (1, 53) 4
*
*
Genesee County *** 4.1 (2.4, 6.8) 47 (4, 53) 4
*
*
Essex County *** 5.3 (3.0, 9.2) 31 (1, 53) 3
*
*
Herkimer County *** 3.6 (2.0, 6.0) 52 (9, 53) 3 stable stable trend 1.0 (-1.6, 3.6)
Otsego County *** 4.0 (2.2, 6.8) 48 (5, 53) 3
*
*
Tioga County *** 4.7 (2.6, 7.9) 40 (2, 53) 3
*
*
Franklin County *** 4.7 (2.7, 7.9) 39 (2, 53) 3
*
*
Fulton County *** 4.0 (2.3, 6.7) 49 (4, 53) 3
*
*
Seneca County *** 5.9 (3.3, 10.0) 16 (1, 53) 3
*
*
Wyoming County *** 5.8 (3.3, 9.8) 19 (1, 53) 3
*
*
Allegany County ***
*
*
3 or fewer
*
*
Chenango County ***
*
*
3 or fewer
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Madison County ***
*
*
3 or fewer
*
*
Montgomery County ***
*
*
3 or fewer
*
*
Schoharie County ***
*
*
3 or fewer
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Yates County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/07/2022 1:38 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 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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