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Death Rates Table

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Death Rate Report for New York by County

Ovary, 2014-2018

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 *** 6.7 (6.5, 6.9) N/A 906 falling falling trend -2.3 (-2.9, -1.7)
United States *** 6.7 (6.6, 6.7) N/A 14,056 falling falling trend -2.3 (-2.4, -2.1)
Cortland County *** 11.4 (6.5, 18.7) 1 (1, 42) 3 stable stable trend -0.5 (-2.8, 1.9)
Chemung County *** 10.7 (7.5, 15.0) 2 (1, 35) 8 stable stable trend -0.1 (-1.6, 1.5)
Allegany County *** 10.0 (5.8, 16.7) 3 (1, 42) 3 stable stable trend -0.5 (-2.5, 1.6)
Wayne County *** 9.7 (6.6, 13.8) 4 (1, 39) 7 stable stable trend 0.4 (-1.5, 2.3)
Otsego County *** 9.5 (6.0, 14.9) 5 (1, 42) 5
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*
Putnam County *** 9.5 (6.4, 13.7) 6 (1, 41) 6 falling falling trend -2.3 (-4.2, -0.4)
Steuben County *** 8.7 (5.7, 12.8) 7 (1, 42) 6 stable stable trend -1.0 (-2.6, 0.6)
Greene County *** 8.4 (4.7, 14.6) 8 (1, 42) 3 stable stable trend -1.8 (-3.9, 0.3)
Oneida County *** 8.3 (6.3, 10.7) 9 (2, 38) 13 stable stable trend -1.4 (-3.1, 0.3)
Rensselaer County *** 8.2 (6.0, 11.1) 10 (1, 41) 9 stable stable trend -1.5 (-3.2, 0.2)
Delaware County *** 8.1 (4.3, 14.7) 11 (1, 42) 3
*
*
Cattaraugus County *** 8.1 (5.2, 12.3) 12 (1, 42) 5 stable stable trend -0.3 (-2.3, 1.8)
Jefferson County *** 8.1 (5.1, 12.2) 13 (1, 42) 5 stable stable trend -0.4 (-2.2, 1.4)
Erie County *** 7.9 (6.9, 8.9) 14 (5, 29) 53 falling falling trend -1.4 (-2.1, -0.6)
Livingston County *** 7.8 (4.7, 12.8) 15 (1, 42) 4
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*
Genesee County *** 7.7 (4.5, 12.9) 16 (1, 42) 3
*
*
Niagara County *** 7.7 (5.9, 10.1) 17 (2, 41) 12 stable stable trend -1.1 (-2.2, 0.1)
Ontario County *** 7.7 (5.2, 11.1) 18 (1, 42) 7 stable stable trend 0.3 (-1.6, 2.3)
Suffolk County *** 7.5 (6.7, 8.3) 19 (8, 31) 79 falling falling trend -1.1 (-1.7, -0.5)
Broome County *** 7.4 (5.6, 9.8) 20 (3, 41) 11 falling falling trend -2.1 (-3.5, -0.7)
Oswego County *** 7.2 (4.7, 10.7) 21 (2, 42) 5
*
*
Herkimer County *** 7.2 (4.1, 12.1) 22 (1, 42) 4
*
*
Albany County *** 7.1 (5.6, 9.0) 23 (5, 41) 16 falling falling trend -1.6 (-2.5, -0.7)
Kings County *** 7.1 (6.5, 7.7) 24 (12, 33) 112 stable stable trend 1.3 (-1.0, 3.7)
Tompkins County *** 7.1 (4.4, 11.0) 25 (1, 42) 5 stable stable trend -1.2 (-3.4, 1.0)
New York County *** 6.8 (6.1, 7.5) 26 (12, 37) 75 falling falling trend -1.4 (-1.9, -1.0)
Chautauqua County *** 6.7 (4.5, 9.8) 27 (3, 42) 6 stable stable trend -1.0 (-2.6, 0.6)
Columbia County *** 6.7 (3.8, 11.4) 28 (1, 42) 3
*
*
Schenectady County *** 6.6 (4.6, 9.2) 29 (5, 42) 8 falling falling trend -2.0 (-3.6, -0.3)
Westchester County *** 6.6 (5.7, 7.5) 30 (12, 39) 47 falling falling trend -2.1 (-2.8, -1.4)
Monroe County *** 6.5 (5.6, 7.6) 31 (12, 40) 36 falling falling trend -5.8 (-9.2, -2.3)
Onondaga County *** 6.5 (5.3, 8.0) 32 (9, 42) 21 stable stable trend -1.0 (-2.1, 0.2)
Richmond County *** 6.3 (5.2, 7.7) 33 (11, 42) 21 falling falling trend -2.0 (-3.1, -0.9)
Nassau County *** 6.3 (5.6, 7.1) 34 (16, 40) 65 falling falling trend -8.7 (-15.4, -1.4)
Orange County *** 6.1 (4.7, 7.8) 35 (10, 42) 14 falling falling trend -1.7 (-3.1, -0.2)
Queens County *** 6.0 (5.5, 6.6) 36 (22, 41) 92 falling falling trend -1.5 (-2.0, -1.1)
St. Lawrence County *** 6.0 (3.8, 9.2) 37 (5, 42) 5 falling falling trend -3.1 (-4.9, -1.4)
Dutchess County *** 5.8 (4.4, 7.6) 38 (12, 42) 12 falling falling trend -2.0 (-3.2, -0.8)
Ulster County *** 5.8 (4.0, 8.1) 39 (9, 42) 8 falling falling trend -15.3 (-27.4, -1.1)
Bronx County *** 5.5 (4.8, 6.3) 40 (25, 42) 47 falling falling trend -1.6 (-2.3, -1.0)
Rockland County *** 5.3 (4.0, 6.9) 41 (17, 42) 12 falling falling trend -2.2 (-3.4, -1.1)
Saratoga County *** 5.2 (3.7, 7.1) 42 (15, 42) 9 falling falling trend -2.3 (-3.9, -0.7)
Cayuga County ***
*
*
3 or fewer
*
*
Chenango County ***
*
*
3 or fewer
*
*
Clinton County ***
*
*
3 or fewer
*
*
Essex County ***
*
*
3 or fewer
*
*
Franklin County ***
*
*
3 or fewer
*
*
Fulton County ***
*
*
3 or fewer
*
*
Hamilton County ***
*
*
3 or fewer
*
*
Lewis County ***
*
*
3 or fewer
*
*
Madison County ***
*
*
3 or fewer
*
*
Montgomery County ***
*
*
3 or fewer
*
*
Orleans County ***
*
*
3 or fewer
*
*
Schoharie County ***
*
*
3 or fewer
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Seneca County ***
*
*
3 or fewer
*
*
Sullivan County ***
*
*
3 or fewer
*
*
Tioga 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 11/29/2020 6:07 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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