Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for West Virginia by County

All Cancer Sites, 2014-2018

White Non-Hispanic, Both Sexes, All Ages

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
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 *** 185.7 (183.3, 188.2) N/A 4,581 falling falling trend -1.1 (-1.2, -1.0)
United States 6 *** 160.2 (160.0, 160.4) N/A 465,913 falling falling trend -1.8 (-2.1, -1.5)
Barbour County *** 185.4 (160.7, 213.2) 28 (4, 53) 43 stable stable trend -0.7 (-1.4, 0.0)
Berkeley County *** 191.9 (180.3, 204.1) 18 (8, 41) 216 falling falling trend -1.1 (-1.5, -0.6)
Boone County *** 228.7 (204.8, 255.0) 3 (1, 20) 72 falling falling trend -1.2 (-1.8, -0.6)
Braxton County *** 173.7 (149.2, 201.6) 40 (8, 55) 38 falling falling trend -1.0 (-1.8, -0.2)
Brooke County *** 163.4 (144.9, 184.2) 50 (18, 55) 60 falling falling trend -1.1 (-1.7, -0.4)
Cabell County *** 185.9 (174.8, 197.6) 27 (11, 45) 221 falling falling trend -1.0 (-1.2, -0.7)
Calhoun County *** 161.5 (130.5, 199.2) 51 (8, 55) 20 falling falling trend -1.1 (-2.0, -0.1)
Clay County *** 207.8 (172.1, 249.5) 9 (1, 51) 26 falling falling trend -1.3 (-2.1, -0.5)
Doddridge County *** 149.6 (120.3, 185.2) 54 (13, 55) 19 falling falling trend -1.6 (-2.5, -0.6)
Fayette County *** 213.9 (197.3, 231.7) 7 (2, 24) 130 stable stable trend -0.4 (-0.8, 0.0)
Gilmer County *** 187.7 (150.9, 232.2) 22 (1, 55) 19 stable stable trend -0.1 (-1.2, 0.9)
Grant County *** 150.7 (125.3, 180.4) 52 (17, 55) 27 falling falling trend -1.2 (-2.3, -0.2)
Greenbrier County *** 173.4 (157.4, 190.8) 41 (14, 53) 94 falling falling trend -1.1 (-1.5, -0.6)
Hampshire County *** 186.4 (165.7, 209.4) 26 (6, 52) 63 stable stable trend -0.3 (-1.0, 0.5)
Hancock County *** 171.6 (154.7, 190.3) 43 (13, 54) 80 falling falling trend -1.0 (-1.5, -0.5)
Hardy County *** 166.9 (141.5, 196.2) 47 (9, 55) 33 falling falling trend -1.1 (-1.7, -0.5)
Harrison County *** 182.1 (169.9, 195.1) 32 (12, 48) 173 falling falling trend -0.9 (-1.3, -0.5)
Jackson County *** 176.4 (158.9, 195.7) 37 (11, 53) 76 falling falling trend -0.8 (-1.3, -0.2)
Jefferson County *** 187.7 (172.0, 204.5) 23 (8, 47) 112 falling falling trend -1.0 (-1.6, -0.5)
Kanawha County *** 183.3 (175.6, 191.2) 30 (15, 44) 462 falling falling trend -1.6 (-2.0, -1.2)
Lewis County *** 231.6 (204.5, 261.7) 2 (1, 23) 55 stable stable trend -0.2 (-0.7, 0.3)
Lincoln County *** 208.9 (185.1, 235.2) 8 (1, 41) 59 stable stable trend -0.7 (-1.3, 0.0)
Logan County *** 247.6 (227.0, 269.7) 1 (1, 8) 114 falling falling trend -0.8 (-1.3, -0.2)
Marion County *** 198.5 (184.2, 213.6) 14 (5, 38) 151 falling falling trend -0.6 (-1.1, -0.1)
Marshall County *** 174.2 (157.4, 192.6) 39 (13, 53) 84 falling falling trend -1.0 (-1.6, -0.5)
Mason County *** 181.2 (162.5, 201.8) 33 (9, 52) 72 falling falling trend -1.4 (-2.0, -0.9)
McDowell County *** 226.9 (200.5, 256.1) 4 (1, 26) 58 stable stable trend -0.4 (-1.0, 0.3)
Mercer County *** 186.5 (173.3, 200.5) 25 (9, 46) 159 falling falling trend -0.5 (-0.9, -0.1)
Mineral County *** 186.9 (167.5, 208.1) 24 (6, 51) 72 stable stable trend -0.6 (-1.2, 0.0)
Mingo County *** 224.7 (200.9, 250.7) 5 (1, 24) 70 falling falling trend -0.6 (-1.1, -0.1)
Monongalia County *** 149.9 (138.7, 161.8) 53 (43, 55) 139 falling falling trend -1.5 (-2.0, -0.9)
Monroe County *** 201.0 (174.3, 231.4) 13 (1, 49) 43 stable stable trend -0.2 (-0.9, 0.5)
Morgan County *** 197.3 (173.6, 223.8) 15 (3, 49) 54 stable stable trend -0.3 (-1.0, 0.3)
Nicholas County *** 178.7 (159.2, 200.1) 35 (9, 53) 66 falling falling trend -1.0 (-1.5, -0.4)
Ohio County *** 182.4 (167.1, 198.9) 31 (10, 50) 115 falling falling trend -1.3 (-1.7, -0.9)
Pendleton County *** 142.2 (114.9, 176.4) 55 (23, 55) 19 falling falling trend -1.2 (-2.3, -0.1)
Pleasants County *** 205.5 (167.4, 250.7) 11 (1, 54) 21 stable stable trend -0.1 (-1.2, 1.1)
Pocahontas County *** 168.1 (138.1, 204.2) 46 (6, 55) 24 stable stable trend -0.9 (-2.0, 0.1)
Preston County *** 178.3 (161.1, 197.0) 36 (10, 53) 82 falling falling trend -0.8 (-1.3, -0.3)
Putnam County *** 175.7 (162.1, 190.3) 38 (15, 51) 128 falling falling trend -1.0 (-1.5, -0.6)
Raleigh County *** 194.3 (181.9, 207.4) 17 (7, 39) 195 falling falling trend -0.6 (-1.0, -0.2)
Randolph County *** 169.2 (151.8, 188.2) 45 (15, 54) 73 falling falling trend -0.9 (-1.5, -0.3)
Ritchie County *** 165.9 (137.4, 199.5) 48 (8, 55) 26 stable stable trend -0.6 (-1.5, 0.3)
Roane County *** 219.6 (191.4, 251.5) 6 (1, 38) 47 stable stable trend -0.1 (-0.8, 0.6)
Summers County *** 179.8 (153.8, 209.9) 34 (5, 55) 38 falling falling trend -1.0 (-1.8, -0.2)
Taylor County *** 170.9 (148.1, 196.8) 44 (9, 55) 42 falling falling trend -1.6 (-2.2, -0.9)
Tucker County *** 164.3 (131.9, 204.2) 49 (6, 55) 19 stable stable trend -1.0 (-2.0, 0.0)
Tyler County *** 194.5 (162.1, 232.5) 16 (1, 53) 27 falling falling trend -1.0 (-1.8, -0.2)
Upshur County *** 183.9 (163.8, 206.2) 29 (6, 51) 63 falling falling trend -0.8 (-1.4, -0.2)
Wayne County *** 173.1 (158.0, 189.4) 42 (14, 53) 102 falling falling trend -1.7 (-2.2, -1.3)
Webster County *** 203.2 (169.4, 243.0) 12 (1, 52) 28 stable stable trend 0.4 (-0.4, 1.2)
Wetzel County *** 187.9 (164.2, 214.7) 21 (4, 52) 47 stable stable trend -0.4 (-1.1, 0.2)
Wirt County *** 189.4 (148.6, 239.4) 20 (1, 55) 16 stable stable trend -0.4 (-1.8, 1.0)
Wood County *** 189.4 (178.4, 201.1) 19 (10, 42) 229 falling falling trend -0.6 (-1.0, -0.3)
Wyoming County *** 206.9 (183.5, 232.8) 10 (1, 43) 62 stable stable trend -0.3 (-0.8, 0.3)
Notes:
Created by statecancerprofiles.cancer.gov on 06/22/2021 10:09 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 1969-2017 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.

*** No Healthy People 2020 Objective for this cancer.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

6 Hispanic mortality recent trend data for the United States has been excluded for the following states: Louisiana, New Hampshire, and Oklahoma. The data on Hispanic and non-Hispanic mortality for these states may be unreliable for the time period used in the generation of the recent trend (1990 - 2018) and has been excluded from the calculation of the United States recent trend. This was based on the NCHS Policy.


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.

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.

Return to Top