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Death Rates Table

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Death Rate Report for New York by County

Breast, 2016-2020

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 15.3?
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 No 18.6 (18.2, 18.9) N/A 2,530 falling falling trend -1.9 (-2.2, -1.6)
United States No 19.6 (19.5, 19.7) N/A 42,101 falling falling trend -1.3 (-1.4, -1.1)
Putnam County Yes 13.4 (9.8, 18.2) 59 (18, 59) 10 falling falling trend -3.5 (-4.6, -2.3)
Madison County Yes 13.6 (9.4, 19.3) 58 (12, 59) 7 falling falling trend -3.7 (-5.1, -2.1)
St. Lawrence County Yes 13.7 (10.1, 18.3) 57 (17, 59) 10 falling falling trend -1.8 (-3.0, -0.5)
Schoharie County Yes 14.2 (8.2, 23.7) 56 (3, 59) 4 falling falling trend -4.0 (-5.5, -2.4)
Herkimer County Yes 14.2 (9.7, 20.6) 55 (6, 59) 7 falling falling trend -3.5 (-5.0, -1.9)
Chenango County Yes 15.0 (10.1, 22.1) 54 (4, 59) 6 falling falling trend -2.9 (-4.3, -1.5)
Seneca County Yes 15.1 (8.4, 25.3) 53 (1, 59) 3 stable stable trend -1.5 (-3.1, 0.1)
Essex County Yes 15.1 (9.8, 23.5) 52 (3, 59) 5 falling falling trend -3.2 (-4.6, -1.8)
Otsego County Yes 15.2 (10.1, 22.3) 51 (3, 59) 7 falling falling trend -2.3 (-3.5, -1.1)
Warren County No 15.6 (11.1, 21.7) 50 (5, 59) 9 falling falling trend -3.5 (-4.5, -2.5)
Chautauqua County No 16.2 (12.8, 20.4) 49 (8, 59) 17 stable stable trend 5.5 (-8.3, 21.3)
Columbia County No 16.3 (11.6, 22.8) 48 (3, 59) 9 falling falling trend -2.7 (-4.2, -1.0)
Broome County No 16.6 (13.5, 20.2) 47 (8, 58) 24 falling falling trend -2.6 (-3.6, -1.7)
New York County No 16.8 (15.7, 17.9) 46 (26, 53) 191 falling falling trend -2.9 (-3.1, -2.7)
Orleans County No 16.9 (10.8, 25.6) 45 (1, 59) 5 falling falling trend -3.2 (-4.5, -2.0)
Queens County No 16.9 (16.0, 17.9) 44 (26, 52) 263 falling falling trend -2.7 (-3.0, -2.4)
Saratoga County No 17.3 (14.5, 20.4) 43 (8, 57) 29 falling falling trend -2.7 (-3.5, -2.0)
Ontario County No 17.4 (13.6, 22.1) 42 (4, 58) 16 falling falling trend -2.5 (-3.5, -1.5)
Nassau County No 17.5 (16.3, 18.8) 41 (20, 50) 181 falling falling trend -3.0 (-3.3, -2.7)
Clinton County No 17.5 (12.8, 23.7) 40 (2, 59) 10 falling falling trend -2.1 (-3.3, -0.8)
Cattaraugus County No 17.6 (12.8, 23.8) 39 (2, 59) 10 falling falling trend -2.6 (-3.6, -1.6)
Chemung County No 17.8 (13.5, 23.3) 38 (2, 59) 12 falling falling trend -2.8 (-3.8, -1.7)
Oswego County No 18.0 (13.9, 23.1) 37 (2, 58) 14 falling falling trend -2.5 (-3.6, -1.3)
Suffolk County No 18.0 (16.9, 19.3) 36 (17, 47) 194 falling falling trend -3.0 (-3.3, -2.8)
Richmond County No 18.2 (16.2, 20.4) 35 (9, 52) 62 falling falling trend -2.9 (-3.4, -2.4)
Onondaga County No 18.2 (16.1, 20.5) 34 (9, 52) 59 falling falling trend -2.3 (-2.9, -1.8)
Cayuga County No 18.3 (13.5, 24.5) 33 (2, 59) 11 falling falling trend -1.9 (-3.3, -0.6)
Cortland County No 18.3 (11.8, 27.2) 32 (1, 59) 6 stable stable trend -1.0 (-2.9, 1.0)
Jefferson County No 18.4 (13.7, 24.1) 31 (2, 59) 11 falling falling trend -2.5 (-3.7, -1.4)
Westchester County No 18.4 (16.9, 19.9) 30 (11, 48) 130 falling falling trend -2.5 (-2.9, -2.1)
Tompkins County No 18.4 (13.7, 24.4) 29 (2, 59) 11 falling falling trend -2.2 (-3.2, -1.1)
Steuben County No 18.4 (14.1, 23.8) 28 (2, 58) 14 falling falling trend -1.9 (-3.0, -0.8)
Oneida County No 18.5 (15.5, 21.9) 27 (4, 55) 31 falling falling trend -2.9 (-3.5, -2.3)
Genesee County No 18.5 (12.9, 26.0) 26 (1, 59) 8 falling falling trend -2.7 (-3.9, -1.3)
Monroe County No 18.5 (16.9, 20.3) 25 (10, 48) 99 falling falling trend -2.4 (-2.8, -2.0)
Livingston County No 18.6 (13.0, 26.1) 24 (1, 59) 8 falling falling trend -2.1 (-3.3, -0.8)
Washington County No 18.8 (13.4, 26.0) 23 (1, 59) 9 falling falling trend -1.6 (-2.9, -0.3)
Rockland County No 18.8 (16.2, 21.8) 22 (4, 52) 39 falling falling trend -2.9 (-3.5, -2.4)
Wyoming County No 18.9 (12.4, 28.3) 21 (1, 59) 5 stable stable trend -1.7 (-3.3, 0.0)
Wayne County No 19.2 (14.4, 25.3) 20 (1, 58) 12 falling falling trend -2.1 (-3.2, -1.1)
Lewis County No 19.4 (11.5, 31.5) 19 (1, 59) 4
*
*
Niagara County No 19.5 (16.3, 23.1) 18 (2, 52) 30 falling falling trend -1.8 (-2.5, -1.2)
Bronx County No 19.5 (18.2, 20.9) 17 (8, 38) 168 falling falling trend -2.4 (-2.7, -2.1)
Orange County No 19.8 (17.3, 22.7) 16 (3, 47) 46 falling falling trend -2.2 (-2.8, -1.6)
Delaware County No 19.9 (14.0, 28.1) 15 (1, 58) 8 falling falling trend -1.8 (-2.8, -0.8)
Albany County No 20.2 (17.5, 23.3) 14 (3, 46) 44 falling falling trend -1.9 (-2.3, -1.5)
Kings County No 20.5 (19.5, 21.5) 13 (6, 28) 328 falling falling trend -2.2 (-2.4, -1.9)
Fulton County No 20.5 (14.5, 28.4) 12 (1, 59) 9 stable stable trend 29.3 (-10.5, 86.9)
Tioga County No 20.5 (14.2, 29.1) 11 (1, 58) 8 falling falling trend -2.5 (-4.0, -1.0)
Ulster County No 20.8 (17.5, 24.8) 10 (2, 48) 29 falling falling trend -2.9 (-3.7, -2.2)
Rensselaer County No 21.1 (17.3, 25.6) 9 (1, 51) 23 falling falling trend -2.6 (-3.4, -1.9)
Dutchess County No 21.2 (18.4, 24.3) 8 (2, 41) 46 falling falling trend -2.2 (-2.8, -1.6)
Schenectady County No 21.6 (17.7, 26.1) 7 (1, 47) 24 falling falling trend -2.0 (-2.9, -1.2)
Erie County No 21.8 (20.2, 23.5) 6 (2, 24) 153 falling falling trend -2.2 (-2.5, -1.8)
Montgomery County No 21.9 (15.1, 30.8) 5 (1, 57) 8 falling falling trend -2.4 (-4.3, -0.5)
Allegany County No 22.2 (15.4, 31.4) 4 (1, 58) 7 falling falling trend -2.8 (-4.3, -1.4)
Franklin County No 22.4 (15.4, 31.8) 3 (1, 57) 7 falling falling trend -2.6 (-4.2, -1.1)
Greene County No 26.1 (18.4, 36.3) 2 (1, 54) 9 falling falling trend -1.5 (-2.7, -0.2)
Sullivan County No 28.2 (21.7, 36.1) 1 (1, 31) 14 stable stable trend -1.4 (-2.8, 0.0)
Hamilton County ***
*
*
3 or fewer
*
*
Schuyler County ***
*
*
3 or fewer
*
*
Yates County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 11/28/2022 2:19 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 2030 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 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.

* 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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