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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), Both Sexes, All Ages

Sorted by Rate
County
sort sort alphabetically by nameascending
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
Oklahoma 6,10 44.0 (43.1, 44.9) 1,800 stable stable trend -2.2 (-6.0, 1.8)
US (SEER+NPCR) 1,10 41.9 (41.8, 42.0) 140,433 § falling falling trend -3.9 (-4.7, -3.0)
Wagoner County 6,10 35.4 (29.4, 42.2) 27 stable stable trend 12.7 (-15.6, 50.6)
Hughes County 6,10 38.3 (26.6, 54.0) 7
*
*
Le Flore County 6,10 38.6 (31.8, 46.5) 23 falling falling trend -18.8 (-31.4, -3.8)
Osage County 6,10 38.7 (31.8, 46.8) 23 stable stable trend 0.3 (-10.8, 12.8)
Lincoln County 6,10 38.8 (30.6, 48.7) 16 stable stable trend -0.6 (-24.4, 30.7)
Kingfisher County 6,10 39.5 (27.6, 55.0) 7
*
*
Coal County 6,10 40.5 (23.0, 67.4) 3
*
*
Sequoyah County 6,10 40.6 (32.8, 49.9) 19 stable stable trend -13.6 (-49.5, 47.7)
Cherokee County 6,10 40.8 (33.1, 49.8) 20 stable stable trend -0.4 (-18.4, 21.6)
Seminole County 6,10 41.6 (32.0, 53.3) 13
*
*
Carter County 6,10 42.0 (34.7, 50.3) 24 stable stable trend -10.0 (-27.8, 12.1)
Love County 6,10 42.0 (26.4, 63.8) 5
*
*
Oklahoma County 6,10 42.1 (39.9, 44.2) 304 stable stable trend -0.7 (-4.7, 3.5)
Major County 6,10 42.1 (26.5, 64.6) 5
*
*
Nowata County 6,10 42.2 (28.1, 61.5) 6
*
*
Pottawatomie County 6,10 42.4 (36.1, 49.5) 33 stable stable trend -4.4 (-15.5, 8.2)
Bryan County 6,10 42.4 (34.6, 51.6) 21 stable stable trend 6.0 (-16.8, 35.0)
Muskogee County 6,10 42.4 (36.4, 49.3) 36 stable stable trend -0.1 (-16.5, 19.5)
Grady County 6,10 42.6 (35.3, 50.9) 25 stable stable trend -15.5 (-31.0, 3.5)
Beckham County 6,10 42.9 (31.9, 56.6) 10
*
*
Pontotoc County 6,10 43.0 (34.5, 53.0) 18 stable stable trend -5.3 (-18.9, 10.6)
Adair County 6,10 43.0 (31.8, 56.9) 10
*
*
Alfalfa County 6,10 43.1 (25.4, 70.7) 4
*
*
Atoka County 6,10 43.3 (30.2, 60.4) 7
*
*
Tillman County 6,10 43.4 (26.9, 66.9) 4
*
*
Custer County 6,10 43.5 (33.1, 56.0) 12
*
*
Pittsburg County 6,10 43.5 (36.3, 51.8) 27 stable stable trend -6.5 (-16.7, 5.0)
Garfield County 6,10 43.5 (36.8, 51.0) 31 stable stable trend 1.3 (-5.3, 8.4)
Washita County 6,10 43.5 (29.8, 61.8) 7
*
*
Tulsa County 6,10 43.6 (41.3, 46.0) 270 stable stable trend -3.2 (-12.7, 7.3)
Okfuskee County 6,10 43.6 (30.1, 61.5) 7
*
*
Cleveland County 6,10 43.9 (40.1, 48.0) 102 falling falling trend -7.8 (-13.4, -1.9)
Washington County 6,10 43.9 (37.0, 51.8) 30 stable stable trend -2.1 (-12.6, 9.6)
Pawnee County 6,10 44.1 (32.3, 59.1) 10
*
*
Texas County 6,10 44.2 (31.7, 59.9) 8
*
*
McCurtain County 6,10 44.3 (35.5, 54.8) 18 stable stable trend -12.5 (-30.9, 10.8)
McClain County 6,10 44.6 (35.3, 55.7) 17 stable stable trend 8.5 (-11.3, 32.7)
Creek County 6,10 44.9 (38.7, 51.9) 38 stable stable trend 5.5 (-16.3, 33.1)
Grant County 6,10 45.1 (25.0, 77.3) 3
*
*
Mayes County 6,10 45.4 (37.3, 54.8) 23 stable stable trend -3.9 (-20.3, 15.8)
McIntosh County 6,10 45.5 (35.4, 58.0) 15 falling falling trend -8.2 (-15.5, -0.3)
Greer County 6,10 45.6 (27.2, 72.9) 4
*
*
Okmulgee County 6,10 45.7 (37.2, 55.6) 21 stable stable trend -4.2 (-20.9, 15.9)
Pushmataha County 6,10 45.7 (31.6, 64.6) 8
*
*
Haskell County 6,10 45.8 (32.0, 63.8) 8
*
*
Cotton County 6,10 46.3 (27.1, 74.9) 4
*
*
Blaine County 6,10 46.4 (31.0, 67.1) 6
*
*
Woodward County 6,10 46.8 (34.9, 61.4) 11
*
*
Rogers County 6,10 46.8 (40.7, 53.6) 44 stable stable trend 0.5 (-18.4, 23.8)
Marshall County 6,10 46.9 (34.0, 63.3) 10
*
*
Logan County 6,10 47.0 (38.4, 57.1) 22 stable stable trend 0.5 (-18.4, 23.8)
Kay County 6,10 47.1 (39.3, 56.0) 28 stable stable trend -2.4 (-21.9, 21.8)
Stephens County 6,10 47.5 (39.9, 56.3) 28 stable stable trend -8.8 (-24.8, 10.6)
Dewey County 6,10 47.9 (27.7, 79.4) 3
*
*
Jefferson County 6,10 48.1 (30.3, 74.0) 5
*
*
Jackson County 6,10 48.6 (37.4, 62.0) 13
*
*
Garvin County 6,10 48.6 (38.3, 60.8) 16 stable stable trend 11.5 (-9.8, 37.8)
Payne County 6,10 48.7 (41.3, 57.1) 31 stable stable trend -10.2 (-31.0, 17.0)
Johnston County 6,10 48.8 (33.4, 69.3) 7
*
*
Ottawa County 6,10 49.4 (40.0, 60.4) 20 stable stable trend -0.8 (-4.5, 3.1)
Delaware County 6,10 49.4 (41.3, 58.8) 29 stable stable trend -4.9 (-27.5, 24.7)
Comanche County 6,10 49.8 (44.0, 56.2) 54 stable stable trend 1.5 (-5.9, 9.5)
Woods County 6,10 50.1 (32.7, 74.1) 6
*
*
Canadian County 6,10 50.3 (44.5, 56.7) 56 stable stable trend 3.2 (-6.9, 14.3)
Murray County 6,10 50.8 (36.6, 69.0) 9
*
*
Craig County 6,10 51.0 (37.7, 67.9) 10
*
*
Latimer County 6,10 51.1 (35.4, 71.8) 7
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*
Caddo County 6,10 51.2 (40.7, 63.5) 17 stable stable trend 3.8 (-25.6, 44.8)
Noble County 6,10 54.4 (38.7, 74.8) 8
*
*
Kiowa County 6,10 54.5 (36.9, 78.2) 7
*
*
Choctaw County 6,10 63.7 (48.5, 82.5) 13
*
*
Beaver County 6,10
*
3 or fewer
*
*
Cimarron County 6,10
*
3 or fewer
*
*
Ellis County 6,10
*
3 or fewer
*
*
Harmon County 6,10
*
3 or fewer
*
*
Harper County 6,10
*
3 or fewer
*
*
Roger Mills County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/05/2016 11:35 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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