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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

New York Counties versus United States

Breast

All Races, Female

Sorted by priority index
Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index descending 		Recent Trend2
 County Death
Rate
Compared
to
US Rate
 Average Annual Count
sort by count descending 		Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		Rate
Ratio3
County
to
US
sort by rate descending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend descending
United States - falling falling trend - 42,101 19.6 (19.5, 19.7) - -1.3 (-1.4, -1.1)
New York - falling falling trend - 2,530 18.6 (18.2, 18.9) - -1.9 (-2.2, -1.6)
Erie County 5 falling falling trend higher 153 21.8 (20.2, 23.5) 1.1 -2.2 (-2.5, -1.8)
Sullivan County 5 falling falling trend higher 14 28.2 (21.7, 36.1) 1.4 -1.4 (-2.8, 0.0)
Chautauqua County 6 stable stable trend similar 17 16.2 (12.8, 20.4) 0.8 5.5 (-8.3, 21.3)
Cortland County 6 stable stable trend similar 6 18.3 (11.8, 27.2) 0.9 -1.0 (-2.9, 1.0)
Fulton County 6 stable stable trend similar 9 20.5 (14.5, 28.4) 1.0 29.3 (-10.5, 86.9)
Seneca County 6 stable stable trend similar 3 15.1 (8.4, 25.3) 0.8 -1.5 (-3.1, 0.1)
Wyoming County 6 stable stable trend similar 5 18.9 (12.4, 28.3) 1.0 -1.7 (-3.3, 0.0)
Albany County 8 falling falling trend similar 44 20.2 (17.5, 23.3) 1.0 -1.9 (-2.3, -1.5)
Allegany County 8 falling falling trend similar 7 22.2 (15.4, 31.4) 1.1 -2.8 (-4.3, -1.4)
Bronx County 8 falling falling trend similar 168 19.5 (18.2, 20.9) 1.0 -2.4 (-2.7, -2.1)
Broome County 8 falling falling trend similar 24 16.6 (13.5, 20.2) 0.8 -2.6 (-3.6, -1.7)
Cattaraugus County 8 falling falling trend similar 10 17.6 (12.8, 23.8) 0.9 -2.6 (-3.6, -1.6)
Cayuga County 8 falling falling trend similar 11 18.3 (13.5, 24.5) 0.9 -1.9 (-3.3, -0.6)
Chemung County 8 falling falling trend similar 12 17.8 (13.5, 23.3) 0.9 -2.8 (-3.8, -1.7)
Chenango County 8 falling falling trend similar 6 15.0 (10.1, 22.1) 0.8 -2.9 (-4.3, -1.5)
Clinton County 8 falling falling trend similar 10 17.5 (12.8, 23.7) 0.9 -2.1 (-3.3, -0.8)
Columbia County 8 falling falling trend similar 9 16.3 (11.6, 22.8) 0.8 -2.7 (-4.2, -1.0)
Delaware County 8 falling falling trend similar 8 19.9 (14.0, 28.1) 1.0 -1.8 (-2.8, -0.8)
Dutchess County 8 falling falling trend similar 46 21.2 (18.4, 24.3) 1.1 -2.2 (-2.8, -1.6)
Essex County 8 falling falling trend similar 5 15.1 (9.8, 23.5) 0.8 -3.2 (-4.6, -1.8)
Franklin County 8 falling falling trend similar 7 22.4 (15.4, 31.8) 1.1 -2.6 (-4.2, -1.1)
Genesee County 8 falling falling trend similar 8 18.5 (12.9, 26.0) 0.9 -2.7 (-3.9, -1.3)
Greene County 8 falling falling trend similar 9 26.1 (18.4, 36.3) 1.3 -1.5 (-2.7, -0.2)
Jefferson County 8 falling falling trend similar 11 18.4 (13.7, 24.1) 0.9 -2.5 (-3.7, -1.4)
Kings County 8 falling falling trend similar 328 20.5 (19.5, 21.5) 1.0 -2.2 (-2.4, -1.9)
Livingston County 8 falling falling trend similar 8 18.6 (13.0, 26.1) 0.9 -2.1 (-3.3, -0.8)
Monroe County 8 falling falling trend similar 99 18.5 (16.9, 20.3) 0.9 -2.4 (-2.8, -2.0)
Montgomery County 8 falling falling trend similar 8 21.9 (15.1, 30.8) 1.1 -2.4 (-4.3, -0.5)
Niagara County 8 falling falling trend similar 30 19.5 (16.3, 23.1) 1.0 -1.8 (-2.5, -1.2)
Oneida County 8 falling falling trend similar 31 18.5 (15.5, 21.9) 0.9 -2.9 (-3.5, -2.3)
Onondaga County 8 falling falling trend similar 59 18.2 (16.1, 20.5) 0.9 -2.3 (-2.9, -1.8)
Ontario County 8 falling falling trend similar 16 17.4 (13.6, 22.1) 0.9 -2.5 (-3.5, -1.5)
Orange County 8 falling falling trend similar 46 19.8 (17.3, 22.7) 1.0 -2.2 (-2.8, -1.6)
Orleans County 8 falling falling trend similar 5 16.9 (10.8, 25.6) 0.9 -3.2 (-4.5, -2.0)
Oswego County 8 falling falling trend similar 14 18.0 (13.9, 23.1) 0.9 -2.5 (-3.6, -1.3)
Otsego County 8 falling falling trend similar 7 15.2 (10.1, 22.3) 0.8 -2.3 (-3.5, -1.1)
Rensselaer County 8 falling falling trend similar 23 21.1 (17.3, 25.6) 1.1 -2.6 (-3.4, -1.9)
Richmond County 8 falling falling trend similar 62 18.2 (16.2, 20.4) 0.9 -2.9 (-3.4, -2.4)
Rockland County 8 falling falling trend similar 39 18.8 (16.2, 21.8) 1.0 -2.9 (-3.5, -2.4)
Saratoga County 8 falling falling trend similar 29 17.3 (14.5, 20.4) 0.9 -2.7 (-3.5, -2.0)
Schenectady County 8 falling falling trend similar 24 21.6 (17.7, 26.1) 1.1 -2.0 (-2.9, -1.2)
Schoharie County 8 falling falling trend similar 4 14.2 (8.2, 23.7) 0.7 -4.0 (-5.5, -2.4)
Steuben County 8 falling falling trend similar 14 18.4 (14.1, 23.8) 0.9 -1.9 (-3.0, -0.8)
Suffolk County 8 falling falling trend similar 194 18.0 (16.9, 19.3) 0.9 -3.0 (-3.3, -2.8)
Tioga County 8 falling falling trend similar 8 20.5 (14.2, 29.1) 1.0 -2.5 (-4.0, -1.0)
Tompkins County 8 falling falling trend similar 11 18.4 (13.7, 24.4) 0.9 -2.2 (-3.2, -1.1)
Ulster County 8 falling falling trend similar 29 20.8 (17.5, 24.8) 1.1 -2.9 (-3.7, -2.2)
Warren County 8 falling falling trend similar 9 15.6 (11.1, 21.7) 0.8 -3.5 (-4.5, -2.5)
Washington County 8 falling falling trend similar 9 18.8 (13.4, 26.0) 1.0 -1.6 (-2.9, -0.3)
Wayne County 8 falling falling trend similar 12 19.2 (14.4, 25.3) 1.0 -2.1 (-3.2, -1.1)
Westchester County 8 falling falling trend similar 130 18.4 (16.9, 19.9) 0.9 -2.5 (-2.9, -2.1)
Herkimer County 9 falling falling trend lower 7 14.2 (9.7, 20.6) 0.7 -3.5 (-5.0, -1.9)
Madison County 9 falling falling trend lower 7 13.6 (9.4, 19.3) 0.7 -3.7 (-5.1, -2.1)
Nassau County 9 falling falling trend lower 181 17.5 (16.3, 18.8) 0.9 -3.0 (-3.3, -2.7)
New York County 9 falling falling trend lower 191 16.8 (15.7, 17.9) 0.9 -2.9 (-3.1, -2.7)
Putnam County 9 falling falling trend lower 10 13.4 (9.8, 18.2) 0.7 -3.5 (-4.6, -2.3)
Queens County 9 falling falling trend lower 263 16.9 (16.0, 17.9) 0.9 -2.7 (-3.0, -2.4)
St. Lawrence County 9 falling falling trend lower 10 13.7 (10.1, 18.3) 0.7 -1.8 (-3.0, -0.5)
Lewis County
**
 		** similar 4 19.4 (11.5, 31.5) 1.0
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Schuyler County
**
 		**
*
3 or fewer
*
*
**
Yates County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/06/2024 11:24 pm.

Trend2
     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.
Rate Comparison
     Above    when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar    when unable to conclude above or below with confidence.
     Below    when 95% confident the rate is below and Rate Ratio3 < 0.90

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Hamilton County, Schuyler County, Yates County

Trend for the following could not be reliably determined due to small number of deaths per year:
Lewis County


Interpret Rankings provides insight into interpreting cancer 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.

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