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Death Rates Table

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Death Rate Report for West Virginia by County

Colon & Rectum, 2018-2022

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

Sorted by Rate

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 74.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
CI*Rank ⋔
(95% Confidence Interval)
 sort by CI rank descending
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 N/A Yes 16.7 (16.0, 17.4) N/A 431 falling falling trend -1.5 (-1.8, -1.2)
United States N/A Yes 12.9 (12.8, 12.9) N/A 52,325 falling falling trend -1.2 (-1.7, -0.8)
McDowell County Rural Yes 27.4 (19.5, 38.0) 1 (1, 31) 8 stable stable trend 0.0 (-1.6, 1.6)
Pocahontas County Rural Yes 24.9 (13.7, 43.4) 2 (1, 43) 3
*
*
Barbour County Rural Yes 24.0 (15.3, 36.2) 3 (1, 41) 5 stable stable trend -0.9 (-2.2, 0.4)
Mingo County Rural Yes 23.9 (16.7, 33.5) 4 (1, 38) 8 stable stable trend -1.2 (-2.5, 0.0)
Morgan County Urban Yes 22.7 (14.2, 34.8) 5 (1, 42) 5 stable stable trend -1.2 (-2.8, 0.7)
Lincoln County Rural Yes 22.3 (15.0, 32.2) 6 (1, 41) 6 stable stable trend -0.2 (-2.1, 2.0)
Logan County Rural Yes 22.1 (16.1, 29.8) 7 (1, 38) 10 falling falling trend -2.1 (-10.1, -0.9)
Lewis County Rural Yes 22.0 (14.1, 33.2) 8 (1, 42) 5 falling falling trend -1.9 (-3.8, -0.1)
Marshall County Urban Yes 21.5 (15.8, 28.8) 9 (1, 38) 10 stable stable trend -1.3 (-2.7, 0.0)
Mercer County Rural Yes 20.9 (16.5, 26.3) 10 (1, 34) 17 stable stable trend -0.1 (-1.1, 0.8)
Hampshire County Urban Yes 20.9 (14.3, 29.9) 11 (1, 41) 7 stable stable trend -0.8 (-2.4, 1.1)
Roane County Rural Yes 20.8 (12.3, 33.4) 12 (1, 43) 4
*
*
Fayette County Urban Yes 20.5 (15.6, 26.7) 13 (1, 37) 13 falling falling trend -1.4 (-2.6, -0.4)
Wyoming County Rural Yes 19.6 (13.1, 28.7) 14 (1, 43) 6 stable stable trend -0.1 (-2.2, 2.3)
Monroe County Rural Yes 19.4 (11.9, 31.2) 15 (1, 43) 4 stable stable trend -1.2 (-3.5, 1.3)
Taylor County Rural Yes 19.1 (12.0, 29.4) 16 (1, 43) 5
*
*
Randolph County Rural Yes 19.0 (13.4, 26.5) 17 (1, 42) 8 stable stable trend -0.5 (-2.0, 1.1)
Summers County Rural Yes 18.8 (11.1, 31.2) 18 (1, 43) 4
*
*
Mason County Rural Yes 18.5 (12.6, 26.5) 19 (1, 43) 7 stable stable trend -1.2 (-2.9, 0.6)
Hardy County Rural Yes 17.5 (9.8, 29.3) 20 (1, 43) 3
*
*
Boone County Urban Yes 17.3 (11.4, 25.8) 21 (2, 43) 6 stable stable trend -1.0 (-2.9, 0.9)
Greenbrier County Rural Yes 17.3 (12.7, 23.4) 22 (4, 42) 10 stable stable trend 0.0 (-1.3, 1.4)
Marion County Rural Yes 16.8 (12.9, 21.7) 23 (5, 41) 13 falling falling trend -1.3 (-2.2, -0.6)
Harrison County Rural Yes 16.6 (13.1, 20.8) 24 (8, 41) 16 falling falling trend -2.0 (-3.0, -1.2)
Nicholas County Rural Yes 16.5 (11.1, 24.0) 25 (3, 43) 6 stable stable trend -1.2 (-26.2, 1.5)
Wood County Urban Yes 16.3 (13.2, 20.1) 26 (9, 41) 20 stable stable trend -0.8 (-1.7, 0.1)
Brooke County Urban Yes 16.1 (11.1, 23.4) 27 (4, 43) 7 falling falling trend -2.3 (-4.0, -0.7)
Wetzel County Rural Yes 16.1 (9.4, 26.5) 28 (1, 43) 4 stable stable trend -1.4 (-3.3, 0.5)
Wayne County Urban Yes 15.9 (11.5, 21.6) 29 (6, 43) 9 falling falling trend -1.6 (-3.0, -0.3)
Berkeley County Urban Yes 15.6 (12.6, 19.0) 30 (11, 42) 21 falling falling trend -2.4 (-3.3, -1.4)
Braxton County Rural Yes 15.5 (8.9, 26.5) 31 (2, 43) 3 stable stable trend -1.7 (-3.8, 0.5)
Raleigh County Urban Yes 15.4 (12.3, 19.2) 32 (10, 42) 17 falling falling trend -2.5 (-14.6, -1.2)
Kanawha County Urban Yes 15.4 (13.2, 17.8) 33 (15, 41) 41 falling falling trend -2.0 (-2.9, -1.3)
Jefferson County Urban Yes 15.1 (11.3, 19.9) 34 (9, 43) 11 falling falling trend -3.6 (-10.5, -2.0)
Cabell County Urban Yes 14.9 (12.0, 18.4) 35 (13, 42) 19 falling falling trend -1.8 (-2.6, -1.1)
Preston County Urban Yes 14.7 (10.0, 21.0) 36 (6, 43) 7 stable stable trend -0.8 (-2.0, 0.5)
Upshur County Rural Yes 14.3 (9.2, 21.6) 37 (5, 43) 5 falling falling trend -2.1 (-3.5, -0.7)
Ohio County Urban Yes 14.2 (10.2, 19.5) 38 (10, 43) 9 falling falling trend -3.0 (-4.0, -2.1)
Mineral County Rural Yes 14.0 (9.3, 20.7) 39 (7, 43) 6 falling falling trend -3.0 (-4.0, -2.1)
Jackson County Rural Yes 13.0 (8.4, 19.5) 40 (10, 43) 5 falling falling trend -1.7 (-3.3, -0.1)
Monongalia County Urban Yes 12.5 (9.6, 16.1) 41 (20, 43) 13 falling falling trend -2.3 (-3.3, -1.3)
Hancock County Urban Yes 12.5 (8.2, 18.6) 42 (13, 43) 6 falling falling trend -2.4 (-3.6, -1.3)
Putnam County Urban Yes 10.3 (7.3, 14.2) 43 (29, 43) 8 falling falling trend -3.7 (-4.8, -2.6)
Calhoun County Rural ***
*
*
3 or fewer
*
*
Clay County Urban ***
*
*
3 or fewer
*
*
Doddridge County Rural ***
*
*
3 or fewer
*
*
Gilmer County Rural ***
*
*
3 or fewer
*
*
Grant County Rural ***
*
*
3 or fewer
*
*
Pendleton County Rural ***
*
*
3 or fewer
*
*
Pleasants County Rural ***
*
*
3 or fewer
*
*
Ritchie County Rural ***
*
*
3 or fewer
*
*
Tucker County Rural ***
*
*
3 or fewer
*
*
Tyler County Rural ***
*
*
3 or fewer
*
*
Webster County Rural ***
*
*
3 or fewer
*
*
Wirt County Urban ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 12/12/2024 12:07 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 2030 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 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.

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.

* 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.

Data for United States does not include Puerto Rico.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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