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Incidence Rates Table

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Incidence Rate Report for by County

Colon & Rectum, 2008-2012

All Races (includes Hispanic), Female, 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 38.1 (37.6, 38.6) 4,707 falling falling trend -4.6 (-6.5, -2.6)
US (SEER+NPCR) 1,10 36.6 (36.5, 36.7) 67,886 § falling falling trend -3.8 (-4.4, -3.2)
Albany County 6,10 37.4 (33.6, 41.5) 76 stable stable trend -1.8 (-14.1, 12.3)
Allegany County 6,10 38.4 (29.1, 49.9) 12
*
*
Bronx County 6,10 38.6 (36.6, 40.7) 290 falling falling trend -6.5 (-11.5, -1.2)
Broome County 6,10 39.8 (35.2, 44.9) 60 stable stable trend -1.2 (-16.3, 16.7)
Cattaraugus County 6,10 47.4 (39.3, 56.8) 25 stable stable trend -5.2 (-16.1, 7.2)
Cayuga County 6,10 32.6 (25.9, 40.6) 17 stable stable trend 0.1 (-15.7, 18.8)
Chautauqua County 6,10 38.4 (32.9, 44.5) 39 stable stable trend -2.6 (-27.1, 30.0)
Chemung County 6,10 33.1 (26.7, 40.8) 20 stable stable trend -8.1 (-22.0, 8.4)
Chenango County 6,10 56.5 (45.6, 69.4) 20 stable stable trend 2.3 (-37.7, 68.3)
Clinton County 6,10 33.6 (26.8, 41.8) 17 stable stable trend -0.5 (-15.4, 17.0)
Columbia County 6,10 47.2 (38.7, 57.3) 23 stable stable trend -3.0 (-25.9, 27.0)
Cortland County 6,10 47.3 (36.8, 60.1) 14
*
*
Delaware County 6,10 41.7 (32.6, 53.1) 16 stable stable trend -2.5 (-26.2, 28.8)
Dutchess County 6,10 40.3 (36.2, 44.8) 73 stable stable trend -6.4 (-12.6, 0.1)
Erie County 6,10 38.2 (36.0, 40.4) 253 stable stable trend -0.7 (-6.0, 4.9)
Essex County 6,10 37.4 (27.9, 49.6) 11
*
*
Franklin County 6,10 39.1 (29.5, 51.0) 12
*
*
Fulton County 6,10 48.6 (39.1, 60.1) 19 stable stable trend -7.9 (-30.9, 22.7)
Genesee County 6,10 42.0 (33.4, 52.3) 18 stable stable trend -0.8 (-22.8, 27.4)
Greene County 6,10 48.1 (38.0, 60.5) 17 stable stable trend 5.7 (-3.6, 15.9)
Hamilton County 6,10
*
3 or fewer
*
*
Herkimer County 6,10 38.7 (31.1, 47.9) 19 stable stable trend -18.9 (-36.7, 4.1)
Jefferson County 6,10 41.3 (34.4, 49.3) 25 stable stable trend 4.8 (-23.4, 43.3)
Kings County 6,10 40.0 (38.6, 41.6) 575 falling falling trend -5.3 (-7.2, -3.3)
Lewis County 6,10 54.3 (39.4, 73.2) 9
*
*
Livingston County 6,10 38.6 (30.5, 48.5) 16 stable stable trend -0.0 (-15.1, 17.7)
Madison County 6,10 46.5 (38.0, 56.5) 21 stable stable trend -9.5 (-28.5, 14.6)
Monroe County 6,10 37.5 (35.1, 40.1) 185 stable stable trend -4.8 (-10.8, 1.5)
Montgomery County 6,10 45.3 (35.8, 56.8) 18 stable stable trend -10.1 (-37.5, 29.2)
Nassau County 6,10 35.5 (33.8, 37.3) 347 stable stable trend -4.9 (-10.0, 0.6)
New York County 6,10 32.8 (31.2, 34.4) 328 falling falling trend -5.6 (-9.7, -1.2)
Niagara County 6,10 37.8 (33.4, 42.6) 59 stable stable trend -3.0 (-23.8, 23.6)
Oneida County 6,10 34.9 (30.9, 39.3) 60 stable stable trend -2.4 (-13.8, 10.6)
Onondaga County 6,10 37.2 (34.1, 40.5) 115 stable stable trend -3.2 (-14.1, 9.1)
Ontario County 6,10 33.8 (28.0, 40.5) 26 stable stable trend -4.3 (-13.6, 6.1)
Orange County 6,10 42.6 (38.5, 46.9) 84 falling falling trend -4.5 (-8.0, -1.0)
Orleans County 6,10 47.9 (37.0, 61.3) 13
*
*
Oswego County 6,10 43.9 (37.1, 51.7) 30 stable stable trend -8.6 (-23.9, 9.6)
Otsego County 6,10 38.4 (30.3, 48.3) 17 stable stable trend 7.4 (-22.4, 48.6)
Putnam County 6,10 42.4 (35.2, 50.7) 26 stable stable trend 0.5 (-11.1, 13.6)
Queens County 6,10 37.7 (36.3, 39.2) 528 falling falling trend -4.5 (-7.9, -1.0)
Rensselaer County 6,10 41.1 (35.6, 47.2) 43 stable stable trend -4.3 (-10.5, 2.3)
Richmond County 6,10 42.4 (39.0, 46.0) 121 stable stable trend -1.4 (-10.0, 8.0)
Rockland County 6,10 33.8 (30.2, 37.8) 65 falling falling trend -10.7 (-19.5, -1.0)
Saratoga County 6,10 40.8 (36.1, 46.0) 56 stable stable trend 1.6 (-4.2, 7.7)
Schenectady County 6,10 39.9 (34.5, 46.0) 42 stable stable trend -9.3 (-18.2, 0.5)
Schoharie County 6,10 44.5 (32.6, 59.7) 10
*
*
Schuyler County 6,10 50.8 (35.2, 72.2) 7
*
*
Seneca County 6,10 34.2 (23.9, 47.7) 8
*
*
St. Lawrence County 6,10 38.6 (32.1, 46.1) 26 stable stable trend -8.6 (-23.4, 9.0)
Steuben County 6,10 38.6 (32.1, 46.1) 26 stable stable trend -2.1 (-28.6, 34.3)
Suffolk County 6,10 38.0 (36.2, 39.8) 358 falling falling trend -7.2 (-13.2, -0.8)
Sullivan County 6,10 37.8 (30.3, 46.7) 19 stable stable trend -5.7 (-21.6, 13.3)
Tioga County 6,10 41.6 (32.3, 53.0) 14
*
*
Tompkins County 6,10 38.2 (30.8, 46.8) 20 stable stable trend -7.2 (-30.6, 24.1)
Ulster County 6,10 39.2 (34.3, 44.6) 49 stable stable trend -12.5 (-24.2, 0.9)
Warren County 6,10 34.3 (27.3, 42.9) 18 stable stable trend 8.0 (-14.0, 35.6)
Washington County 6,10 38.5 (30.5, 48.1) 17 stable stable trend -4.6 (-25.9, 22.7)
Wayne County 6,10 43.5 (36.1, 52.1) 25 stable stable trend -4.0 (-24.6, 22.2)
Westchester County 6,10 35.5 (33.4, 37.6) 231 stable stable trend -3.1 (-10.4, 4.8)
Wyoming County 6,10 50.7 (38.8, 65.5) 13
*
*
Yates County 6,10 32.8 (21.5, 48.4) 6
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/30/2016 6:08 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 1969-2013 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.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases 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 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
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 1969-2013 US Population Data File is used with NPCR November 2014 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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