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Incidence Rates Table

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Incidence Rate Report for New York by County

Colon & Rectum, 2009-2013

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Name
County
sort sort alphabetically by namedescending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
New York 6,10 41.5 (41.1, 41.9) 9,148 falling falling trend -3.4 (-5.0, -1.7)
US (SEER+NPCR) 1,10 40.6 (40.5, 40.7) 139,095 falling falling trend -3.0 (-3.7, -2.3)
Albany County 6,10 40.5 (37.5, 43.6) 146 stable stable trend -4.1 (-16.6, 10.2)
Allegany County 6,10 47.3 (39.6, 56.1) 28 stable stable trend -6.0 (-17.1, 6.7)
Bronx County 6,10 42.6 (41.0, 44.3) 548 stable stable trend -2.7 (-9.1, 4.3)
Broome County 6,10 41.6 (38.0, 45.4) 107 falling falling trend -4.8 (-8.9, -0.6)
Cattaraugus County 6,10 49.4 (43.3, 56.2) 49 stable stable trend -4.3 (-15.0, 7.7)
Cayuga County 6,10 39.4 (34.0, 45.6) 39 stable stable trend -6.3 (-19.4, 8.9)
Chautauqua County 6,10 45.3 (40.9, 50.2) 81 stable stable trend -4.3 (-12.3, 4.4)
Chemung County 6,10 40.1 (35.0, 45.9) 45 stable stable trend -0.4 (-10.2, 10.6)
Chenango County 6,10 53.8 (46.0, 62.6) 35 stable stable trend -6.3 (-28.3, 22.6)
Clinton County 6,10 38.8 (33.3, 45.0) 36 stable stable trend -5.7 (-24.5, 17.8)
Columbia County 6,10 46.9 (40.6, 54.0) 43 stable stable trend -8.2 (-29.2, 19.0)
Cortland County 6,10 47.5 (39.6, 56.6) 26 stable stable trend -6.3 (-22.9, 13.8)
Delaware County 6,10 45.4 (38.4, 53.5) 32 stable stable trend -1.8 (-6.5, 3.0)
Dutchess County 6,10 40.9 (37.9, 44.1) 141 stable stable trend -6.5 (-13.3, 0.9)
Erie County 6,10 41.8 (40.1, 43.5) 482 stable stable trend -2.6 (-6.8, 1.8)
Essex County 6,10 44.1 (36.5, 53.0) 25 falling falling trend -10.5 (-19.1, -0.8)
Franklin County 6,10 44.6 (37.2, 53.2) 26 stable stable trend -8.6 (-22.2, 7.3)
Fulton County 6,10 43.9 (37.2, 51.5) 32 stable stable trend -10.7 (-24.0, 4.8)
Genesee County 6,10 42.9 (36.5, 50.3) 33 stable stable trend 3.2 (-8.3, 16.2)
Greene County 6,10 41.6 (34.8, 49.5) 28 stable stable trend -9.6 (-33.3, 22.7)
Hamilton County 6,10 44.1 (22.2, 80.7) 3
*
*
Herkimer County 6,10 43.8 (37.7, 50.7) 39 stable stable trend -1.8 (-23.0, 25.3)
Jefferson County 6,10 47.0 (41.4, 53.2) 52 stable stable trend 1.0 (-17.8, 24.2)
Kings County 6,10 44.9 (43.7, 46.1) 1,121 falling falling trend -4.1 (-7.7, -0.4)
Lewis County 6,10 55.8 (44.7, 69.0) 18 stable stable trend -0.4 (-22.7, 28.3)
Livingston County 6,10 43.7 (37.2, 51.1) 34 stable stable trend 4.3 (-3.1, 12.2)
Madison County 6,10 44.1 (37.9, 51.1) 37 stable stable trend 3.0 (-8.2, 15.6)
Monroe County 6,10 38.9 (37.0, 40.8) 340 stable stable trend -3.4 (-8.9, 2.4)
Montgomery County 6,10 48.1 (40.6, 56.6) 32 stable stable trend -3.6 (-19.3, 15.2)
Nassau County 6,10 38.7 (37.4, 40.1) 665 stable stable trend -1.5 (-4.3, 1.4)
New York County 6,10 36.0 (34.8, 37.3) 633 stable stable trend -3.7 (-8.6, 1.4)
Niagara County 6,10 43.8 (40.3, 47.6) 122 stable stable trend -2.8 (-8.1, 2.8)
Oneida County 6,10 37.1 (34.0, 40.4) 112 stable stable trend -5.9 (-14.6, 3.7)
Onondaga County 6,10 39.4 (37.1, 41.9) 216 stable stable trend 0.6 (-7.2, 9.2)
Ontario County 6,10 33.1 (28.9, 37.8) 46 stable stable trend -5.8 (-15.9, 5.5)
Orange County 6,10 44.5 (41.4, 47.7) 164 stable stable trend -5.9 (-11.4, 0.0)
Orleans County 6,10 51.0 (42.5, 60.7) 26 stable stable trend 0.5 (-16.2, 20.4)
Oswego County 6,10 41.9 (37.0, 47.3) 55 stable stable trend -6.1 (-15.6, 4.4)
Otsego County 6,10 40.0 (33.8, 47.1) 32 stable stable trend 6.7 (-12.1, 29.6)
Putnam County 6,10 42.3 (36.9, 48.2) 47 stable stable trend 1.3 (-7.5, 10.9)
Queens County 6,10 42.5 (41.3, 43.7) 1,044 falling falling trend -3.9 (-5.9, -1.9)
Rensselaer County 6,10 45.1 (40.8, 49.7) 84 stable stable trend -5.5 (-14.3, 4.2)
Richmond County 6,10 46.4 (43.7, 49.1) 239 stable stable trend -0.0 (-5.4, 5.6)
Rockland County 6,10 37.6 (34.7, 40.6) 131 falling falling trend -5.3 (-7.5, -3.2)
Saratoga County 6,10 43.5 (39.9, 47.4) 112 stable stable trend -2.6 (-10.7, 6.3)
Schenectady County 6,10 38.0 (34.1, 42.4) 71 falling falling trend -10.0 (-15.4, -4.2)
Schoharie County 6,10 43.9 (35.3, 54.2) 19 stable stable trend -1.8 (-3.5, 0.0)
Schuyler County 6,10 52.3 (40.2, 67.3) 13 stable stable trend -5.7 (-23.8, 16.6)
Seneca County 6,10 39.5 (31.6, 48.8) 18 stable stable trend 4.8 (-14.4, 28.4)
St. Lawrence County 6,10 43.5 (38.5, 49.1) 55 stable stable trend -10.7 (-23.2, 3.8)
Steuben County 6,10 42.3 (37.3, 47.8) 54 stable stable trend 4.1 (-10.1, 20.5)
Suffolk County 6,10 42.7 (41.3, 44.2) 733 falling falling trend -4.3 (-7.5, -1.0)
Sullivan County 6,10 42.1 (36.4, 48.5) 41 stable stable trend -3.2 (-17.5, 13.6)
Tioga County 6,10 45.7 (38.5, 53.9) 30 stable stable trend -1.3 (-11.3, 9.9)
Tompkins County 6,10 40.1 (34.5, 46.4) 39 stable stable trend -1.8 (-12.8, 10.5)
Ulster County 6,10 40.6 (37.0, 44.6) 95 stable stable trend -8.0 (-15.4, 0.0)
Warren County 6,10 42.6 (36.6, 49.4) 38 stable stable trend 8.3 (-3.5, 21.5)
Washington County 6,10 38.8 (32.9, 45.7) 31 stable stable trend -2.1 (-21.1, 21.7)
Wayne County 6,10 42.0 (36.7, 47.9) 47 stable stable trend 2.6 (-14.3, 22.7)
Westchester County 6,10 38.3 (36.7, 40.0) 441 stable stable trend -2.0 (-8.9, 5.5)
Wyoming County 6,10 54.0 (44.9, 64.4) 26 stable stable trend -6.4 (-19.9, 9.5)
Yates County 6,10 41.9 (32.1, 53.8) 13 stable stable trend -1.8 (-30.7, 39.1)
Notes:
Created by statecancerprofiles.cancer.gov on 12/09/2016 11:58 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 1969-2014 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.
* 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 2015 data submission and SEER November 2015 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 2015 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 1969-2014 US Population Data File is used with NPCR November 2015 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.


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