Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for New York by County

Esophagus, 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 *** 3.4 (3.3, 3.5) N/A 851 falling falling trend -2.3 (-2.9, -1.8)
United States *** 3.9 (3.8, 3.9) N/A 15,474 falling falling trend -1.1 (-1.2, -1.0)
Suffolk County *** 3.7 (3.3, 4.1) 43 (28, 45) 74 falling falling trend -0.8 (-1.3, -0.2)
Queens County *** 2.2 (2.0, 2.5) 50 (46, 52) 63 falling falling trend -2.0 (-2.5, -1.4)
Erie County *** 4.5 (4.0, 5.1) 27 (14, 39) 58 stable stable trend -0.1 (-0.8, 0.5)
Kings County *** 2.0 (1.8, 2.3) 51 (48, 52) 58 falling falling trend -3.0 (-3.6, -2.5)
Nassau County *** 2.9 (2.5, 3.3) 46 (39, 49) 53 falling falling trend -1.0 (-1.6, -0.5)
New York County *** 2.4 (2.1, 2.7) 49 (44, 52) 49 falling falling trend -2.9 (-3.5, -2.4)
Monroe County *** 4.4 (3.8, 5.0) 31 (15, 42) 43 falling falling trend -0.8 (-1.5, -0.1)
Bronx County *** 2.4 (2.1, 2.8) 48 (43, 52) 36 falling falling trend -3.6 (-4.3, -3.0)
Westchester County *** 2.8 (2.4, 3.2) 47 (39, 51) 35 falling falling trend -1.2 (-1.9, -0.6)
Onondaga County *** 4.2 (3.5, 5.0) 37 (15, 44) 26 stable stable trend -0.3 (-1.2, 0.6)
Richmond County *** 3.3 (2.6, 4.0) 45 (29, 49) 20 stable stable trend -0.8 (-1.9, 0.4)
Niagara County *** 5.6 (4.5, 7.0) 12 (3, 37) 18 stable stable trend 0.3 (-0.8, 1.6)
Oneida County *** 5.1 (4.0, 6.3) 21 (5, 41) 17 stable stable trend -0.5 (-1.8, 0.8)
Dutchess County *** 3.9 (3.0, 4.9) 41 (16, 47) 15 stable stable trend -0.5 (-1.7, 0.6)
Orange County *** 3.4 (2.6, 4.3) 44 (23, 50) 15 falling falling trend -1.2 (-2.2, -0.1)
Albany County *** 3.7 (2.9, 4.7) 42 (17, 48) 14 stable stable trend -0.8 (-1.8, 0.2)
Saratoga County *** 4.5 (3.5, 5.8) 26 (7, 45) 14 stable stable trend -1.1 (-2.2, 0.1)
Ulster County *** 4.9 (3.8, 6.4) 22 (4, 43) 13 stable stable trend 0.3 (-1.5, 2.0)
Broome County *** 4.4 (3.4, 5.8) 30 (8, 45) 13 stable stable trend -0.1 (-1.0, 0.8)
Rensselaer County *** 5.6 (4.2, 7.3) 13 (2, 42) 12 stable stable trend 0.2 (-1.3, 1.7)
Chautauqua County *** 5.8 (4.2, 7.7) 11 (1, 41) 10 stable stable trend 0.2 (-1.1, 1.4)
Schenectady County *** 4.4 (3.2, 5.9) 32 (7, 47) 9 stable stable trend -1.3 (-2.9, 0.4)
Oswego County *** 5.5 (4.0, 7.5) 14 (2, 43) 9 stable stable trend 0.3 (-0.9, 1.6)
St. Lawrence County *** 6.1 (4.4, 8.3) 7 (1, 41) 9 stable stable trend 0.3 (-1.3, 2.0)
Cayuga County *** 6.7 (4.7, 9.3) 5 (1, 40) 8 stable stable trend 1.5 (-0.4, 3.4)
Rockland County *** 2.0 (1.4, 2.7) 52 (44, 52) 8 falling falling trend -2.9 (-4.5, -1.2)
Wayne County *** 5.5 (3.9, 7.6) 15 (2, 45) 8 stable stable trend -0.9 (-2.7, 0.9)
Ontario County *** 4.5 (3.1, 6.3) 29 (5, 49) 7 stable stable trend 0.0 (-1.8, 1.9)
Jefferson County *** 6.0 (4.1, 8.4) 9 (1, 44) 7 stable stable trend 0.9 (-0.9, 2.7)
Cattaraugus County *** 6.2 (4.2, 8.9) 6 (1, 45) 7
*
*
Chemung County *** 5.3 (3.6, 7.6) 17 (2, 47) 6 stable stable trend 0.1 (-1.4, 1.7)
Fulton County *** 8.2 (5.5, 11.9) 2 (1, 33) 6
*
*
Putnam County *** 4.2 (2.8, 6.2) 36 (5, 51) 6
*
*
Herkimer County *** 5.8 (3.9, 8.6) 10 (1, 45) 6 stable stable trend 1.2 (-0.4, 2.9)
Steuben County *** 4.1 (2.7, 6.1) 38 (5, 52) 6 stable stable trend -0.5 (-1.9, 0.9)
Tompkins County *** 4.7 (3.1, 7.0) 24 (3, 50) 5 stable stable trend 0.0 (-1.7, 1.7)
Warren County *** 5.2 (3.4, 7.8) 19 (2, 48) 5 stable stable trend 1.2 (-0.9, 3.3)
Livingston County *** 5.2 (3.4, 8.0) 18 (1, 49) 5 stable stable trend -0.4 (-2.3, 1.4)
Madison County *** 4.7 (3.0, 7.1) 23 (3, 51) 5
*
*
Clinton County *** 4.3 (2.7, 6.5) 34 (4, 52) 5
*
*
Essex County *** 7.2 (4.5, 11.3) 4 (1, 45) 5 stable stable trend 0.6 (-1.4, 2.6)
Seneca County *** 8.7 (5.5, 13.5) 1 (1, 41) 5
*
*
Sullivan County *** 3.9 (2.4, 6.2) 40 (5, 52) 4
*
*
Washington County *** 5.1 (3.2, 8.0) 20 (1, 51) 4 stable stable trend 0.7 (-1.3, 2.8)
Columbia County *** 4.2 (2.5, 6.9) 35 (3, 52) 4 stable stable trend 0.1 (-2.2, 2.4)
Orleans County *** 7.6 (4.6, 12.0) 3 (1, 45) 4
*
*
Otsego County *** 4.5 (2.6, 7.4) 28 (2, 52) 4 stable stable trend 1.6 (-1.0, 4.2)
Delaware County *** 4.5 (2.7, 7.7) 25 (2, 52) 4 stable stable trend 0.7 (-1.0, 2.5)
Franklin County *** 5.3 (3.1, 8.6) 16 (1, 51) 4
*
*
Genesee County *** 4.3 (2.5, 7.0) 33 (3, 52) 4
*
*
Cortland County *** 6.0 (3.5, 9.8) 8 (1, 51) 3
*
*
Greene County *** 4.0 (2.3, 6.9) 39 (3, 52) 3
*
*
Allegany County ***
*
*
3 or fewer
*
*
Chenango County ***
*
*
3 or fewer
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Montgomery County ***
*
*
3 or fewer
*
*
Schoharie County ***
*
*
3 or fewer
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Tioga County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Yates County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/18/2022 12:22 am.

State Cancer Registries may provide more current or more local data.

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Allegany, Chenango, Hamilton, Lewis, Montgomery, Schoharie, Schuyler, Tioga, Wyoming, Yates

† 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.
⋔ 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.

* 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).


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.

Return to Top