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Death Rates Table

Data Options

Death Rate Report for New York by County

Uterus (Corpus & Uterus, NOS), 2015-2019

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
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 ascending
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 *** 6.0 (5.9, 6.2) N/A 841 rising rising trend 1.5 (1.2, 1.8)
United States *** 5.0 (4.9, 5.0) N/A 10,923 rising rising trend 1.0 (0.3, 1.7)
Bronx County *** 8.6 (7.7, 9.5) 1 (1, 5) 75 rising rising trend 2.1 (1.5, 2.7)
Kings County *** 8.1 (7.4, 8.7) 2 (1, 6) 132 rising rising trend 1.5 (1.1, 1.9)
Ulster County *** 7.1 (5.1, 9.6) 3 (1, 27) 9 stable stable trend 1.7 (-0.3, 3.8)
Richmond County *** 6.7 (5.5, 8.1) 4 (1, 22) 22 rising rising trend 1.6 (0.4, 2.9)
Monroe County *** 6.5 (5.6, 7.6) 5 (3, 20) 36 rising rising trend 4.3 (2.0, 6.5)
Steuben County *** 6.5 (4.1, 10.0) 6 (1, 31) 5 stable stable trend 0.9 (-1.0, 2.8)
Queens County *** 6.5 (5.9, 7.1) 7 (3, 17) 103 rising rising trend 1.1 (0.4, 1.8)
Oneida County *** 6.3 (4.8, 8.4) 8 (1, 28) 11 rising rising trend 12.5 (0.1, 26.4)
Westchester County *** 6.1 (5.3, 7.0) 9 (3, 22) 45 rising rising trend 1.2 (0.3, 2.1)
Nassau County *** 6.1 (5.4, 6.9) 10 (4, 21) 63 rising rising trend 1.2 (0.5, 1.9)
Jefferson County *** 5.9 (3.5, 9.5) 11 (1, 31) 4
*
*
Orange County *** 5.9 (4.6, 7.6) 12 (2, 28) 13 stable stable trend 0.8 (-0.6, 2.3)
Herkimer County *** 5.8 (3.3, 10.0) 13 (1, 31) 3
*
*
Cattaraugus County *** 5.7 (3.2, 9.7) 14 (1, 31) 3
*
*
Suffolk County *** 5.7 (5.1, 6.4) 15 (6, 24) 61 stable stable trend 0.5 (0.0, 1.0)
Chautauqua County *** 5.7 (3.6, 8.5) 16 (1, 31) 5 stable stable trend 1.1 (-1.2, 3.4)
New York County *** 5.6 (5.0, 6.3) 17 (7, 24) 65 stable stable trend 0.6 (0.0, 1.3)
Putnam County *** 5.4 (3.3, 8.7) 18 (1, 31) 4
*
*
Wayne County *** 5.4 (3.3, 8.7) 19 (1, 31) 4
*
*
Albany County *** 5.4 (4.1, 7.1) 20 (3, 30) 12 rising rising trend 1.6 (0.3, 2.9)
Erie County *** 5.3 (4.5, 6.1) 21 (8, 28) 37 stable stable trend 0.6 (0.0, 1.3)
Ontario County *** 5.2 (3.4, 8.0) 22 (2, 31) 5
*
*
Dutchess County *** 4.7 (3.5, 6.3) 23 (6, 31) 10 stable stable trend 0.5 (-0.9, 1.9)
Broome County *** 4.6 (3.1, 6.5) 24 (5, 31) 7 rising rising trend 1.9 (0.1, 3.7)
Rockland County *** 4.6 (3.3, 6.1) 25 (7, 31) 10 stable stable trend -0.1 (-1.6, 1.4)
Schenectady County *** 4.4 (2.9, 6.6) 26 (5, 31) 6
*
*
Oswego County *** 4.3 (2.5, 7.2) 27 (3, 31) 3
*
*
Saratoga County *** 4.3 (3.0, 6.0) 28 (9, 31) 7 stable stable trend -0.3 (-2.0, 1.4)
Niagara County *** 4.2 (2.9, 5.9) 29 (9, 31) 7 rising rising trend 4.1 (0.7, 7.6)
Onondaga County *** 4.0 (3.1, 5.2) 30 (17, 31) 14 stable stable trend 0.6 (-0.6, 1.8)
Rensselaer County *** 4.0 (2.5, 6.1) 31 (7, 31) 5 stable stable trend 0.9 (-1.1, 3.0)
Allegany County ***
*
*
3 or fewer
*
*
Cayuga County ***
*
*
3 or fewer
*
*
Chemung County ***
*
*
3 or fewer
*
*
Chenango County ***
*
*
3 or fewer
*
*
Clinton County ***
*
*
3 or fewer
*
*
Columbia County ***
*
*
3 or fewer
*
*
Cortland County ***
*
*
3 or fewer
*
*
Delaware County ***
*
*
3 or fewer
*
*
Essex County ***
*
*
3 or fewer
*
*
Franklin County ***
*
*
3 or fewer
*
*
Fulton County ***
*
*
3 or fewer
*
*
Genesee County ***
*
*
3 or fewer
*
*
Greene County ***
*
*
3 or fewer
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Livingston County ***
*
*
3 or fewer
*
*
Madison County ***
*
*
3 or fewer
*
*
Montgomery County ***
*
*
3 or fewer
*
*
Orleans County ***
*
*
3 or fewer
*
*
Otsego County ***
*
*
3 or fewer
*
*
Schoharie County ***
*
*
3 or fewer
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Seneca County ***
*
*
3 or fewer
*
*
St. Lawrence County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Tioga County ***
*
*
3 or fewer
*
*
Tompkins County ***
*
*
3 or fewer
*
*
Warren County ***
*
*
3 or fewer
*
*
Washington County ***
*
*
3 or fewer
*
*
Wyoming County ***
*
*
3 or fewer
*
*
Yates County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/01/2022 1:36 pm.

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, Cayuga, Chemung, Chenango, Clinton, Columbia, Cortland, Delaware, Essex, Franklin, Fulton, Genesee, Greene, Hamilton, Lewis, Livingston, Madison, Montgomery, Orleans, Otsego, Schoharie, Schuyler, Seneca, St. Lawrence, Sullivan, Tioga, Tompkins, Warren, Washington, 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.
* 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.

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