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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 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
West Virginia 6,10 41.3 (39.7, 42.9) 532 stable stable trend -4.4 (-8.9, 0.2)
US (SEER+NPCR) 1,10 36.6 (36.5, 36.7) 67,886 § falling falling trend -3.8 (-4.4, -3.2)
Monroe County 6,10 28.5 (16.5, 48.3) 3
*
*
Brooke County 6,10 29.4 (19.5, 43.7) 6
*
*
Barbour County 6,10 31.5 (19.2, 50.2) 4
*
*
Wyoming County 6,10 31.7 (20.5, 47.5) 5
*
*
Jackson County 6,10 34.2 (23.8, 48.3) 7
*
*
Putnam County 6,10 35.2 (26.8, 45.4) 12
*
*
Harrison County 6,10 36.0 (28.8, 44.7) 18 stable stable trend 4.3 (-20.6, 37.1)
Monongalia County 6,10 36.3 (28.8, 45.2) 17 stable stable trend -11.6 (-30.6, 12.6)
Ohio County 6,10 36.8 (28.3, 47.5) 14
*
*
Fayette County 6,10 37.5 (28.9, 48.3) 13
*
*
Greenbrier County 6,10 37.8 (28.4, 49.9) 11
*
*
Morgan County 6,10 38.4 (24.3, 58.8) 5
*
*
Hancock County 6,10 38.6 (28.4, 52.1) 10
*
*
Mason County 6,10 38.8 (27.5, 53.7) 8
*
*
Randolph County 6,10 39.5 (28.7, 53.9) 9
*
*
Cabell County 6,10 39.7 (33.1, 47.3) 27 stable stable trend -15.0 (-33.8, 9.1)
Wood County 6,10 40.4 (33.6, 48.4) 26 stable stable trend 1.4 (-15.8, 22.1)
Preston County 6,10 41.2 (29.4, 56.6) 8
*
*
Wayne County 6,10 41.5 (31.8, 53.6) 13
*
*
Boone County 6,10 41.8 (28.7, 59.2) 7
*
*
Kanawha County 6,10 42.0 (37.3, 47.2) 61 stable stable trend -6.5 (-14.6, 2.4)
Braxton County 6,10 43.1 (26.0, 68.2) 4
*
*
Nicholas County 6,10 43.2 (30.8, 59.6) 8
*
*
Marshall County 6,10 43.3 (32.4, 57.2) 11
*
*
Jefferson County 6,10 43.3 (33.1, 55.8) 13
*
*
Raleigh County 6,10 43.8 (36.1, 52.7) 24 stable stable trend -12.4 (-32.1, 12.8)
Berkeley County 6,10 44.4 (36.6, 53.3) 23 stable stable trend -3.3 (-24.8, 24.3)
Roane County 6,10 44.4 (27.8, 68.4) 5
*
*
Grant County 6,10 44.5 (25.9, 72.5) 4
*
*
McDowell County 6,10 44.8 (31.1, 63.3) 7
*
*
Taylor County 6,10 45.3 (29.4, 67.5) 5
*
*
Marion County 6,10 46.6 (37.4, 57.6) 19 stable stable trend 8.9 (-27.4, 63.3)
Mineral County 6,10 47.0 (34.3, 63.4) 9
*
*
Hampshire County 6,10 47.0 (32.7, 66.1) 7
*
*
Wetzel County 6,10 47.1 (31.3, 69.3) 6
*
*
Lincoln County 6,10 48.0 (33.1, 67.8) 7
*
*
Upshur County 6,10 48.0 (33.3, 67.2) 7
*
*
Mercer County 6,10 49.7 (40.8, 60.2) 24 stable stable trend -9.4 (-23.3, 7.0)
Lewis County 6,10 52.7 (35.6, 76.3) 6
*
*
Logan County 6,10 54.1 (41.5, 69.6) 13
*
*
Mingo County 6,10 54.9 (39.7, 74.2) 9
*
*
Webster County 6,10 60.2 (35.3, 97.5) 4
*
*
Ritchie County 6,10 61.2 (38.5, 94.4) 5
*
*
Calhoun County 6,10
*
3 or fewer
*
*
Clay County 6,10
*
3 or fewer
*
*
Doddridge County 6,10
*
3 or fewer
*
*
Gilmer County 6,10
*
3 or fewer
*
*
Hardy County 6,10
*
3 or fewer
*
*
Pendleton County 6,10
*
3 or fewer
*
*
Pleasants County 6,10
*
3 or fewer
*
*
Pocahontas County 6,10
*
3 or fewer
*
*
Summers County 6,10
*
3 or fewer
*
*
Tucker County 6,10
*
3 or fewer
*
*
Tyler County 6,10
*
3 or fewer
*
*
Wirt County 6,10
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/01/2016 12:15 am.
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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