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Death Rates Table

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Death Rate Report for West Virginia by County

Colon & Rectum, 2012-2016

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 14.5?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
West Virginia No 18.2 (17.5, 19.0) 453 falling falling trend -1.5 (-1.8, -1.2)
United States Yes 14.2 (14.1, 14.2) 51,932 falling falling trend -1.8 (-2.3, -1.3)
Ritchie County No 29.2 (17.9, 45.9) 4 stable stable trend -22.8 (-53.2, 27.3)
Webster County No 26.4 (14.9, 44.5) 3
*
*
Greenbrier County No 23.8 (18.0, 31.0) 12 stable stable trend 0.5 (-1.2, 2.2)
Nicholas County No 23.3 (16.6, 32.0) 8 stable stable trend 0.0 (-2.2, 2.3)
McDowell County No 23.1 (15.5, 33.5) 6 stable stable trend -0.8 (-2.4, 0.9)
Braxton County No 22.9 (14.4, 35.2) 5 stable stable trend -1.8 (-4.3, 0.8)
Berkeley County No 22.6 (18.7, 27.1) 25 falling falling trend -2.2 (-3.3, -1.0)
Logan County No 22.6 (16.7, 29.9) 10 stable stable trend -1.1 (-3.1, 0.8)
Hampshire County No 22.4 (15.7, 31.4) 7 stable stable trend -0.6 (-2.8, 1.6)
Roane County No 22.0 (13.6, 34.3) 4
*
*
Mercer County No 21.9 (17.5, 27.0) 19 stable stable trend 0.2 (-0.8, 1.2)
Wetzel County No 21.5 (13.8, 32.6) 5 stable stable trend -1.4 (-3.4, 0.6)
Lewis County No 21.2 (13.6, 32.0) 5 stable stable trend -2.2 (-4.4, 0.1)
Preston County No 20.6 (14.9, 28.0) 9 stable stable trend -0.2 (-1.6, 1.4)
Lincoln County No 20.5 (13.1, 30.7) 5 stable stable trend -0.2 (-2.7, 2.3)
Mason County No 20.5 (14.4, 28.5) 8 stable stable trend -1.2 (-2.9, 0.5)
Marion County No 20.5 (16.2, 25.7) 16 falling falling trend -1.1 (-2.0, -0.2)
Mingo County No 20.1 (13.4, 29.1) 6 stable stable trend -1.4 (-3.2, 0.4)
Morgan County No 19.9 (12.2, 31.0) 5 stable stable trend -2.1 (-4.3, 0.1)
Fayette County No 19.8 (15.2, 25.5) 13 falling falling trend -2.0 (-3.3, -0.6)
Wood County No 19.4 (16.0, 23.4) 23 stable stable trend 13.2 (-2.6, 31.5)
Hardy County No 18.9 (11.3, 30.5) 4
*
*
Marshall County No 18.7 (13.6, 25.5) 9 falling falling trend -2.1 (-3.5, -0.7)
Hancock County No 18.5 (13.4, 25.2) 9 falling falling trend -1.9 (-3.3, -0.5)
Boone County No 18.4 (11.9, 27.4) 5 stable stable trend -0.4 (-2.8, 2.1)
Monroe County No 18.3 (11.2, 29.2) 4 stable stable trend -1.4 (-3.9, 1.1)
Raleigh County No 18.2 (14.7, 22.5) 19 stable stable trend -0.3 (-1.5, 0.9)
Barbour County No 18.1 (11.1, 28.4) 4 stable stable trend -1.5 (-3.2, 0.3)
Wyoming County No 17.7 (11.3, 26.7) 5 stable stable trend 0.6 (-2.4, 3.6)
Brooke County No 17.3 (11.5, 25.6) 6 falling falling trend -2.6 (-4.9, -0.3)
Wayne County No 17.2 (12.6, 23.2) 10 stable stable trend -1.7 (-3.3, 0.0)
Cabell County No 16.9 (13.8, 20.6) 21 falling falling trend -1.4 (-2.3, -0.5)
Harrison County No 16.8 (13.3, 21.0) 17 falling falling trend -2.1 (-3.2, -1.0)
Kanawha County No 16.3 (14.1, 18.6) 44 falling falling trend -2.1 (-3.0, -1.1)
Monongalia County No 15.7 (12.2, 19.9) 14 falling falling trend -1.8 (-3.1, -0.4)
Jefferson County No 15.6 (11.4, 20.9) 10 falling falling trend -4.8 (-7.5, -2.0)
Taylor County No 15.0 (8.8, 24.4) 4
*
*
Ohio County No 14.7 (10.8, 19.8) 10 falling falling trend -3.2 (-4.4, -1.9)
Randolph County No 14.6 (9.9, 21.1) 6 stable stable trend -0.5 (-2.5, 1.6)
Mineral County Yes 14.4 (9.6, 21.1) 6 falling falling trend -3.0 (-4.2, -1.8)
Jackson County Yes 14.2 (9.5, 20.8) 6 falling falling trend -2.0 (-3.7, -0.2)
Upshur County Yes 14.2 (8.9, 21.7) 5 falling falling trend -1.9 (-3.7, -0.1)
Putnam County Yes 12.8 (9.3, 17.3) 9 falling falling trend -3.8 (-5.3, -2.2)
Calhoun County ***
*
3 or fewer
*
*
Clay County ***
*
3 or fewer
*
*
Doddridge County ***
*
3 or fewer
*
*
Gilmer County ***
*
3 or fewer
*
*
Grant County ***
*
3 or fewer
*
*
Pendleton County ***
*
3 or fewer
*
*
Pleasants County ***
*
3 or fewer
*
*
Pocahontas County ***
*
3 or fewer
*
*
Summers County ***
*
3 or fewer
*
*
Tucker County ***
*
3 or fewer
*
*
Tyler County ***
*
3 or fewer
*
*
Wirt County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/02/2020 10:33 pm.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2016 US Population Data File is used with mortality data.
The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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).


Please note that the data comes 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 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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