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Incidence Rates Table

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Incidence Rate Report for New York by County

Breast, 2010-2014

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
New York 6,10 *** 129.0 (128.1, 129.9) 15,358 stable stable trend 1.3 (-0.6, 3.2)
US (SEER+NPCR) 1,10 *** 123.5 (123.3, 123.8) 228,664 stable stable trend 0.5 (-0.3, 1.2)
Schuyler County 6,10 *** 97.0 (74.3, 125.3) 13 stable stable trend 3.3 (-23.8, 40.0)
Sullivan County 6,10 *** 103.1 (90.4, 117.2) 50 stable stable trend 1.8 (-7.7, 12.3)
Essex County 6,10 *** 105.8 (88.6, 125.8) 30 stable stable trend 8.2 (-7.3, 26.3)
St. Lawrence County 6,10 *** 105.9 (94.8, 118.0) 70 stable stable trend 5.3 (-4.8, 16.4)
Steuben County 6,10 *** 106.2 (95.2, 118.2) 72 stable stable trend 2.2 (-9.6, 15.6)
Washington County 6,10 *** 107.9 (93.1, 124.4) 41 stable stable trend 6.9 (-13.8, 32.4)
Bronx County 6,10 *** 109.6 (106.2, 113.0) 840 stable stable trend 0.8 (-3.1, 4.9)
Delaware County 6,10 *** 110.7 (95.0, 128.6) 40 stable stable trend -0.3 (-23.6, 30.0)
Columbia County 6,10 *** 111.8 (97.6, 127.6) 50 stable stable trend 6.2 (-4.7, 18.3)
Franklin County 6,10 *** 112.9 (96.0, 132.2) 34 stable stable trend -3.6 (-25.3, 24.6)
Queens County 6,10 *** 113.3 (110.8, 115.9) 1,536 stable stable trend 0.5 (-3.8, 4.9)
Jefferson County 6,10 *** 114.2 (102.1, 127.4) 67 stable stable trend 5.6 (-9.4, 23.0)
Cayuga County 6,10 *** 114.3 (100.6, 129.3) 57 stable stable trend 3.8 (-8.2, 17.4)
Oswego County 6,10 *** 115.4 (104.3, 127.4) 83 rising rising trend 11.4 (1.9, 21.8)
Kings County 6,10 *** 116.2 (113.7, 118.8) 1,656 stable stable trend 0.7 (-4.3, 6.0)
Orleans County 6,10 *** 116.5 (98.8, 136.7) 32 stable stable trend 6.4 (-20.2, 41.9)
Clinton County 6,10 *** 116.7 (103.2, 131.6) 57 stable stable trend -1.2 (-18.5, 19.9)
Oneida County 6,10 *** 118.2 (110.2, 126.7) 178 stable stable trend 5.7 (-0.6, 12.4)
Lewis County 6,10 *** 118.4 (95.6, 145.2) 20 stable stable trend 15.6 (-17.9, 62.9)
Ulster County 6,10 *** 119.2 (110.3, 128.6) 145 stable stable trend -2.1 (-13.3, 10.5)
Schoharie County 6,10 *** 121.8 (100.8, 146.1) 26 stable stable trend 8.1 (-22.1, 49.9)
Chemung County 6,10 *** 123.3 (110.5, 137.4) 73 stable stable trend -0.0 (-7.3, 7.8)
Herkimer County 6,10 *** 123.5 (108.2, 140.3) 53 rising rising trend 7.3 (1.8, 13.1)
Tompkins County 6,10 *** 123.7 (109.7, 139.0) 61 stable stable trend -3.1 (-8.3, 2.3)
Tioga County 6,10 *** 124.4 (107.5, 143.3) 42 stable stable trend 2.5 (-17.1, 26.9)
Madison County 6,10 *** 124.8 (110.3, 140.8) 57 stable stable trend 2.3 (-3.2, 8.2)
Ontario County 6,10 *** 125.1 (113.5, 137.6) 93 stable stable trend 0.9 (-6.9, 9.3)
Montgomery County 6,10 *** 125.2 (108.3, 144.2) 43 stable stable trend 4.3 (-0.6, 9.4)
Chautauqua County 6,10 *** 125.7 (114.9, 137.3) 111 stable stable trend 4.0 (-4.7, 13.4)
Chenango County 6,10 *** 125.8 (108.7, 145.0) 42 stable stable trend -0.1 (-16.1, 18.9)
Seneca County 6,10 *** 126.7 (105.1, 151.6) 27 stable stable trend 1.2 (-6.5, 9.5)
Fulton County 6,10 *** 128.2 (111.6, 146.7) 47 stable stable trend 3.9 (-2.4, 10.7)
Rensselaer County 6,10 *** 130.1 (119.9, 140.9) 129 stable stable trend 2.0 (-3.7, 8.0)
Genesee County 6,10 *** 131.3 (115.5, 148.9) 52 stable stable trend 1.3 (-11.7, 16.1)
Orange County 6,10 *** 131.7 (124.6, 139.1) 268 stable stable trend 3.8 (-1.9, 9.9)
Richmond County 6,10 *** 131.8 (125.9, 138.0) 386 stable stable trend 0.6 (-2.8, 4.2)
Broome County 6,10 *** 132.7 (123.5, 142.4) 170 stable stable trend 5.0 (-0.1, 10.4)
Schenectady County 6,10 *** 132.9 (122.5, 143.9) 130 stable stable trend 2.8 (-2.0, 7.9)
Allegany County 6,10 *** 133.3 (114.6, 154.3) 40 stable stable trend -0.5 (-12.2, 12.8)
Dutchess County 6,10 *** 133.9 (126.4, 141.7) 252 stable stable trend 4.8 (-0.1, 10.0)
Cortland County 6,10 *** 133.9 (114.8, 155.3) 38 stable stable trend -0.9 (-32.5, 45.4)
Saratoga County 6,10 *** 134.0 (125.4, 143.1) 191 stable stable trend -1.2 (-5.1, 2.9)
Livingston County 6,10 *** 134.8 (118.2, 153.2) 52 stable stable trend 5.7 (-13.4, 28.9)
Yates County 6,10 *** 134.9 (109.9, 164.2) 22 stable stable trend -2.9 (-10.0, 4.8)
Onondaga County 6,10 *** 135.0 (128.9, 141.3) 396 stable stable trend 1.9 (-4.8, 9.0)
New York County 6,10 *** 135.9 (132.6, 139.3) 1,306 stable stable trend 2.4 (-0.7, 5.6)
Niagara County 6,10 *** 136.1 (127.3, 145.3) 195 stable stable trend 3.0 (-3.7, 10.1)
Greene County 6,10 *** 137.8 (119.8, 158.1) 46 stable stable trend -0.6 (-26.3, 34.0)
Warren County 6,10 *** 138.3 (123.1, 155.1) 66 stable stable trend 2.5 (-10.3, 17.1)
Suffolk County 6,10 *** 140.0 (136.5, 143.5) 1,307 stable stable trend -1.9 (-4.6, 0.9)
Putnam County 6,10 *** 140.7 (127.5, 155.0) 88 stable stable trend -0.9 (-8.6, 7.5)
Rockland County 6,10 *** 140.8 (133.1, 148.8) 263 stable stable trend 1.7 (-0.1, 3.6)
Westchester County 6,10 *** 141.0 (136.7, 145.3) 867 stable stable trend 1.4 (-0.9, 3.8)
Cattaraugus County 6,10 *** 142.0 (127.1, 158.1) 72 stable stable trend 1.7 (-12.4, 18.0)
Monroe County 6,10 *** 142.4 (137.4, 147.5) 661 stable stable trend 3.6 (-4.3, 12.2)
Nassau County 6,10 *** 143.0 (139.4, 146.7) 1,265 stable stable trend 0.6 (-3.3, 4.7)
Wayne County 6,10 *** 143.1 (129.4, 157.9) 85 stable stable trend 5.1 (-7.0, 18.8)
Albany County 6,10 *** 143.5 (135.7, 151.7) 272 stable stable trend -0.3 (-3.6, 3.2)
Otsego County 6,10 *** 144.0 (127.0, 162.7) 59 stable stable trend 2.4 (-14.1, 22.2)
Erie County 6,10 *** 145.2 (140.8, 149.8) 884 stable stable trend 0.4 (-2.6, 3.6)
Wyoming County 6,10 *** 165.8 (142.8, 191.6) 40 stable stable trend 6.6 (-6.7, 21.9)
Hamilton County 6,10 *** 178.3 (120.8, 261.3) 8 stable stable trend 12.5 (-19.8, 57.8)
Notes:
Created by statecancerprofiles.cancer.gov on 08/24/2017 2:41 am.
Data for the United States does not include data from Nevada

*** No Healthy People 2020 Objective for this cancer.

State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.


1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2016 data submission and SEER November 2016 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2016 data submission.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used with NPCR November 2016 data.

Please note that the data comes from different sources. Due to different years of data availablility, 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.

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