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Death Rates Table

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Death Rate Report for West Virginia by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
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 Yes 161.4 (158.3, 164.5) 2,203 falling falling trend -0.9 (-1.0, -0.7)
United States Yes 137.7 (137.4, 137.9) 280,047 falling falling trend -1.4 (-1.5, -1.4)
Gilmer County No 234.9 (176.1, 309.6) 12 stable stable trend 0.5 (-1.5, 2.4)
Webster County No 206.8 (157.0, 268.8) 13 stable stable trend 0.4 (-1.1, 1.9)
Clay County No 206.3 (156.9, 267.6) 13 stable stable trend 0.0 (-1.4, 1.4)
Lewis County No 206.0 (171.3, 246.6) 26 stable stable trend 0.3 (-0.4, 1.0)
Roane County No 205.2 (168.0, 249.2) 23 stable stable trend 0.0 (-1.0, 1.1)
Pleasants County No 203.2 (150.1, 271.5) 10 stable stable trend 0.9 (-0.9, 2.7)
McDowell County No 202.6 (170.6, 239.6) 31 stable stable trend 0.0 (-0.9, 1.0)
Logan County No 197.6 (173.4, 224.7) 51 stable stable trend -0.6 (-1.5, 0.2)
Boone County No 194.9 (165.4, 228.7) 33 stable stable trend 0.0 (-0.9, 0.9)
Wyoming County No 194.3 (163.9, 229.4) 31 stable stable trend -0.1 (-1.0, 0.8)
Wetzel County No 193.3 (159.6, 233.2) 25 stable stable trend -0.1 (-1.1, 1.0)
Mingo County No 192.6 (163.7, 225.5) 33 stable stable trend -0.8 (-1.8, 0.2)
Calhoun County No 189.7 (141.8, 251.3) 11 stable stable trend 0.4 (-1.4, 2.2)
Tyler County No 186.0 (143.8, 239.2) 14 stable stable trend -0.2 (-1.4, 1.1)
Hampshire County No 184.4 (156.2, 217.0) 32 stable stable trend 0.3 (-0.8, 1.3)
Fayette County No 182.5 (162.4, 204.7) 64 stable stable trend -0.3 (-1.0, 0.4)
Wirt County No 180.8 (125.3, 255.4) 7 stable stable trend 1.1 (-0.7, 3.0)
Wood County No 169.7 (155.5, 184.9) 113 stable stable trend -0.1 (-0.9, 0.6)
Kanawha County No 169.3 (159.8, 179.3) 254 falling falling trend -0.9 (-1.2, -0.6)
Monroe County No 168.5 (135.6, 208.7) 19 stable stable trend 0.3 (-1.0, 1.7)
Berkeley County No 165.5 (151.0, 181.0) 100 falling falling trend -0.7 (-1.3, -0.2)
Marion County No 164.2 (147.1, 183.0) 72 stable stable trend -0.4 (-1.1, 0.3)
Greenbrier County No 164.0 (143.1, 187.5) 49 stable stable trend -0.6 (-1.1, 0.0)
Raleigh County No 163.4 (148.7, 179.3) 97 stable stable trend -0.3 (-0.8, 0.2)
Doddridge County No 162.2 (118.5, 219.6) 9 stable stable trend -0.8 (-2.3, 0.7)
Mason County No 161.4 (137.7, 188.7) 34 falling falling trend -1.3 (-2.2, -0.4)
Nicholas County Yes 161.3 (136.8, 189.5) 33 falling falling trend -1.0 (-1.7, -0.2)
Lincoln County Yes 160.4 (132.0, 193.7) 23 stable stable trend -1.1 (-2.3, 0.2)
Cabell County Yes 159.6 (146.2, 174.1) 112 falling falling trend -1.1 (-1.5, -0.6)
Mercer County Yes 157.4 (141.6, 174.7) 79 stable stable trend -0.5 (-1.1, 0.2)
Harrison County Yes 156.6 (141.5, 173.0) 84 falling falling trend -0.9 (-1.5, -0.3)
Mineral County Yes 156.3 (132.8, 183.2) 33 falling falling trend -1.0 (-1.7, -0.2)
Morgan County Yes 155.6 (126.6, 190.4) 22 stable stable trend 0.1 (-1.1, 1.2)
Ritchie County Yes 155.1 (117.0, 203.5) 12 stable stable trend -1.2 (-2.9, 0.6)
Marshall County Yes 154.5 (133.5, 178.4) 42 stable stable trend -0.6 (-1.4, 0.3)
Braxton County Yes 153.3 (121.8, 191.8) 17 stable stable trend -1.2 (-2.7, 0.3)
Upshur County Yes 152.5 (127.5, 181.6) 27 falling falling trend -1.0 (-1.8, -0.1)
Barbour County Yes 151.1 (121.4, 186.7) 19 stable stable trend -0.5 (-1.7, 0.7)
Preston County Yes 149.2 (127.1, 174.3) 35 stable stable trend -0.5 (-1.3, 0.3)
Ohio County Yes 147.8 (130.4, 167.4) 59 falling falling trend -1.5 (-2.1, -0.9)
Putnam County Yes 147.6 (130.8, 166.2) 58 falling falling trend -2.3 (-3.7, -0.8)
Pendleton County Yes 145.5 (105.8, 199.5) 10 stable stable trend -1.0 (-2.7, 0.9)
Pocahontas County Yes 144.3 (108.1, 192.3) 11 stable stable trend -0.8 (-2.3, 0.8)
Wayne County Yes 144.1 (125.2, 165.3) 44 falling falling trend -1.0 (-1.9, -0.1)
Hancock County Yes 143.7 (122.7, 167.8) 37 falling falling trend -1.2 (-2.0, -0.4)
Taylor County Yes 141.6 (112.7, 176.6) 18 stable stable trend -0.4 (-1.5, 0.8)
Randolph County Yes 141.2 (119.1, 166.8) 32 stable stable trend -0.7 (-1.6, 0.2)
Jefferson County Yes 139.5 (121.7, 159.3) 46 falling falling trend -1.1 (-2.0, -0.1)
Jackson County Yes 138.3 (117.0, 162.8) 31 stable stable trend -0.4 (-1.5, 0.7)
Monongalia County Yes 134.5 (120.4, 149.9) 69 falling falling trend -1.4 (-2.2, -0.5)
Brooke County Yes 131.2 (108.4, 158.3) 26 stable stable trend -0.6 (-1.7, 0.5)
Hardy County Yes 130.1 (100.3, 167.2) 13 stable stable trend -0.8 (-2.3, 0.7)
Grant County Yes 126.1 (93.7, 167.5) 11 stable stable trend -0.2 (-1.7, 1.3)
Summers County Yes 116.2 (89.9, 149.5) 14 falling falling trend -1.6 (-2.7, -0.5)
Tucker County Yes 110.7 (77.2, 158.7) 7 stable stable trend -1.0 (-2.5, 0.6)
Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 6:07 am.

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.


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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