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Incidence Rates Table

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Incidence Rate Report for New York by County

Colon & Rectum, 2011-2015

All Races (includes Hispanic), Female, All Ages

Sorted by Count
County
 sort alphabetically by name ascending
Met Healthy People Objective of 39.9?
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 Yes 35.0 (34.5, 35.4) 4,444 stable stable trend -1.5 (-4.2, 1.3)
US (SEER+NPCR) 1,10 Yes 34.3 (34.2, 34.4) 66,763 falling falling trend -1.5 (-2.2, -0.7)
Schuyler County 6,10 No 46.8 (30.0, 69.9) 5 stable stable trend 14.7 (-11.1, 47.9)
Schoharie County 6,10 Yes 34.7 (24.0, 49.0) 7 stable stable trend -16.9 (-42.2, 19.5)
Yates County 6,10 No 46.8 (32.2, 65.9) 8 stable stable trend -3.3 (-14.9, 9.9)
Seneca County 6,10 Yes 38.1 (27.0, 52.5) 9 stable stable trend 2.5 (-18.8, 29.5)
Lewis County 6,10 No 56.0 (40.5, 75.8) 9 stable stable trend -3.9 (-40.0, 53.7)
Essex County 6,10 Yes 31.8 (22.9, 43.6) 10 stable stable trend -1.8 (-15.7, 14.3)
Wyoming County 6,10 No 42.5 (31.6, 56.3) 11 stable stable trend 11.8 (-16.4, 49.6)
Franklin County 6,10 Yes 37.2 (27.8, 49.0) 11 stable stable trend 14.2 (-37.8, 109.8)
Orleans County 6,10 No 41.4 (31.4, 53.8) 12 stable stable trend -1.1 (-28.5, 36.8)
Tioga County 6,10 Yes 35.9 (27.3, 46.6) 13 stable stable trend -22.5 (-40.4, 0.7)
Genesee County 6,10 Yes 30.5 (23.4, 39.4) 13 falling falling trend -18.0 (-27.6, -7.1)
Allegany County 6,10 No 40.8 (31.2, 52.6) 13 rising rising trend 18.8 (1.7, 38.8)
Cortland County 6,10 No 40.9 (31.3, 52.7) 13 stable stable trend 5.4 (-7.7, 20.5)
Livingston County 6,10 Yes 36.3 (28.2, 46.1) 15 stable stable trend -11.4 (-29.9, 12.0)
Chenango County 6,10 No 45.2 (35.5, 57.1) 16 stable stable trend 5.8 (-12.2, 27.6)
Otsego County 6,10 Yes 35.4 (27.5, 45.1) 16 stable stable trend -13.0 (-24.6, 0.3)
Fulton County 6,10 No 41.5 (32.6, 52.2) 16 stable stable trend 10.2 (-0.2, 21.7)
Washington County 6,10 Yes 36.7 (28.8, 46.3) 16 stable stable trend -4.1 (-30.4, 32.2)
Delaware County 6,10 No 43.0 (33.7, 54.5) 16 stable stable trend -4.6 (-27.4, 25.4)
Greene County 6,10 No 45.3 (35.7, 57.1) 17 stable stable trend -5.1 (-17.9, 9.7)
Montgomery County 6,10 No 47.1 (36.9, 59.3) 17 stable stable trend 7.4 (-19.1, 42.5)
Sullivan County 6,10 Yes 33.3 (26.4, 41.7) 17 stable stable trend 0.4 (-23.3, 31.5)
Tompkins County 6,10 Yes 32.0 (25.3, 39.9) 17 stable stable trend -12.8 (-36.5, 19.6)
Madison County 6,10 Yes 37.2 (29.6, 46.3) 17 stable stable trend -9.2 (-26.7, 12.6)
Herkimer County 6,10 Yes 34.0 (27.1, 42.4) 18 stable stable trend 16.2 (-14.1, 57.0)
Cayuga County 6,10 Yes 32.7 (26.1, 40.7) 18 stable stable trend -2.2 (-18.0, 16.7)
Chemung County 6,10 Yes 30.8 (24.4, 38.4) 18 stable stable trend -4.5 (-25.3, 22.1)
Clinton County 6,10 Yes 34.5 (27.6, 42.7) 18 stable stable trend -1.2 (-8.6, 6.9)
Columbia County 6,10 Yes 39.4 (31.7, 48.8) 19 stable stable trend -8.6 (-28.1, 16.2)
Warren County 6,10 No 43.9 (35.4, 54.0) 21 stable stable trend 9.5 (-17.5, 45.4)
Steuben County 6,10 Yes 33.9 (27.9, 41.0) 24 stable stable trend -7.9 (-25.4, 13.7)
Wayne County 6,10 No 41.2 (33.9, 49.7) 24 stable stable trend -4.1 (-14.8, 7.9)
Putnam County 6,10 Yes 38.9 (32.1, 46.7) 25 stable stable trend -2.0 (-19.7, 19.5)
Cattaraugus County 6,10 No 48.3 (39.9, 58.1) 25 stable stable trend -1.3 (-23.1, 26.7)
St. Lawrence County 6,10 Yes 36.9 (30.7, 44.1) 26 stable stable trend 3.9 (-18.0, 31.6)
Ontario County 6,10 Yes 33.7 (27.9, 40.3) 26 stable stable trend 1.3 (-5.0, 8.1)
Oswego County 6,10 Yes 36.7 (30.6, 43.7) 27 stable stable trend -6.6 (-13.9, 1.3)
Jefferson County 6,10 No 48.3 (40.7, 57.0) 29 stable stable trend -3.1 (-23.0, 22.0)
Schenectady County 6,10 Yes 28.5 (24.0, 33.7) 30 stable stable trend -5.7 (-15.4, 5.2)
Chautauqua County 6,10 Yes 37.7 (32.2, 44.0) 37 stable stable trend -7.3 (-28.1, 19.5)
Rensselaer County 6,10 Yes 39.4 (34.0, 45.4) 41 stable stable trend -1.9 (-7.0, 3.5)
Ulster County 6,10 Yes 36.6 (31.8, 42.0) 45 stable stable trend 7.4 (-12.1, 31.2)
Broome County 6,10 Yes 34.2 (29.8, 39.1) 50 falling falling trend -12.8 (-21.4, -3.4)
Niagara County 6,10 Yes 34.7 (30.4, 39.5) 53 stable stable trend -1.7 (-7.7, 4.7)
Oneida County 6,10 Yes 33.1 (29.0, 37.6) 54 stable stable trend 0.6 (-11.9, 14.8)
Saratoga County 6,10 Yes 36.8 (32.4, 41.6) 54 stable stable trend -5.0 (-13.6, 4.4)
Rockland County 6,10 Yes 29.5 (26.2, 33.1) 60 stable stable trend 1.7 (-9.6, 14.4)
Dutchess County 6,10 Yes 34.0 (30.4, 38.0) 66 stable stable trend -5.3 (-12.4, 2.3)
Albany County 6,10 Yes 34.5 (30.8, 38.5) 71 stable stable trend -1.8 (-15.7, 14.5)
Orange County 6,10 Yes 38.2 (34.4, 42.2) 80 stable stable trend -2.2 (-6.0, 1.8)
Onondaga County 6,10 Yes 35.3 (32.4, 38.5) 112 stable stable trend -2.9 (-12.8, 8.2)
Richmond County 6,10 Yes 38.2 (35.1, 41.6) 116 falling falling trend -7.6 (-11.7, -3.4)
Monroe County 6,10 Yes 34.4 (32.1, 36.9) 171 stable stable trend 0.8 (-2.5, 4.2)
Westchester County 6,10 Yes 32.3 (30.4, 34.4) 218 stable stable trend -3.4 (-8.5, 2.0)
Erie County 6,10 Yes 36.5 (34.4, 38.7) 240 stable stable trend -3.6 (-8.6, 1.7)
Bronx County 6,10 Yes 34.3 (32.5, 36.2) 272 stable stable trend -1.1 (-7.8, 6.1)
New York County 6,10 Yes 30.8 (29.3, 32.4) 320 stable stable trend 0.5 (-2.7, 3.8)
Suffolk County 6,10 Yes 33.9 (32.3, 35.6) 333 stable stable trend 1.6 (-2.7, 6.2)
Nassau County 6,10 Yes 34.2 (32.6, 36.0) 340 stable stable trend 0.5 (-3.3, 4.5)
Queens County 6,10 Yes 35.1 (33.7, 36.5) 506 stable stable trend -0.5 (-4.5, 3.7)
Kings County 6,10 Yes 36.4 (35.0, 37.8) 542 stable stable trend -1.8 (-3.6, 0.0)
Hamilton County 6,10 ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 10/22/2018 1:11 pm.
Data for the United States does not include data from Nevada

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.

* 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).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2017 data submission and SEER November 2017 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 2017 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 1969-2016 US Population Data File is used with NPCR November 2017 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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