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Death Rates Table

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Death Rate Report for West Virginia by County

All Cancer Sites, 2011-2015

All Races (includes Hispanic), Both Sexes, 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 No 193.1 (190.6, 195.6) 4,781 falling falling trend -1.0 (-1.1, -0.9)
United States No 163.5 (163.3, 163.7) 586,354 falling falling trend -1.5 (-1.6, -1.5)
Logan County No 248.3 (227.9, 270.2) 117 falling falling trend -0.9 (-1.6, -0.2)
Webster County No 246.7 (209.0, 290.1) 33 stable stable trend 0.6 (-0.3, 1.5)
Boone County No 238.0 (213.5, 264.6) 73 falling falling trend -0.9 (-1.6, -0.2)
Mingo County No 235.1 (211.0, 261.4) 74 stable stable trend -0.4 (-1.0, 0.1)
McDowell County No 234.6 (209.5, 262.2) 68 stable stable trend -0.4 (-1.1, 0.3)
Wyoming County No 224.2 (199.9, 250.8) 67 stable stable trend -0.1 (-0.8, 0.5)
Pleasants County No 222.7 (183.1, 269.4) 23 stable stable trend -0.2 (-1.7, 1.3)
Lewis County No 221.8 (195.4, 251.3) 53 stable stable trend -0.4 (-0.9, 0.2)
Fayette County No 219.6 (203.3, 237.0) 141 stable stable trend -0.3 (-0.7, 0.1)
Clay County No 213.9 (177.9, 255.6) 26 falling falling trend -1.3 (-2.2, -0.5)
Gilmer County No 212.1 (173.7, 257.3) 22 stable stable trend 2.3 (-0.2, 4.9)
Calhoun County No 210.7 (173.4, 254.8) 24 stable stable trend -0.7 (-1.8, 0.3)
Lincoln County No 207.2 (183.3, 233.6) 58 stable stable trend -0.5 (-1.2, 0.3)
Roane County No 205.0 (177.4, 236.1) 42 stable stable trend -0.6 (-1.2, 0.1)
Monroe County No 204.7 (177.5, 235.6) 43 stable stable trend -0.1 (-0.9, 0.7)
Berkeley County No 204.1 (192.0, 216.8) 227 falling falling trend -1.0 (-1.6, -0.5)
Marion County No 203.5 (189.2, 218.7) 157 stable stable trend -0.4 (-0.9, 0.2)
Tyler County No 202.4 (169.7, 240.6) 28 stable stable trend -0.9 (-1.8, 0.1)
Mason County No 199.8 (179.9, 221.6) 77 falling falling trend -1.3 (-1.9, -0.7)
Raleigh County No 199.7 (187.6, 212.4) 213 falling falling trend -0.7 (-1.1, -0.2)
Wetzel County No 198.6 (174.0, 226.1) 49 stable stable trend -0.3 (-1.1, 0.5)
Wirt County No 197.3 (155.0, 248.8) 16 stable stable trend 0.1 (-1.5, 1.7)
Hampshire County No 197.0 (175.6, 220.7) 65 stable stable trend -0.1 (-1.0, 0.8)
Cabell County No 196.7 (185.5, 208.4) 242 falling falling trend -0.9 (-1.2, -0.6)
Greenbrier County No 196.6 (179.8, 214.9) 107 falling falling trend -0.9 (-1.4, -0.4)
Harrison County No 195.6 (182.9, 208.9) 184 falling falling trend -0.8 (-1.3, -0.3)
Kanawha County No 195.5 (187.9, 203.4) 519 falling falling trend -1.1 (-1.3, -0.8)
Mercer County No 195.3 (182.2, 209.1) 174 falling falling trend -0.6 (-1.0, -0.1)
Ritchie County No 195.2 (163.9, 231.4) 29 stable stable trend -0.2 (-1.2, 0.9)
Morgan County No 191.0 (167.7, 217.2) 51 stable stable trend -0.5 (-1.3, 0.3)
Wood County No 190.6 (179.5, 202.4) 225 falling falling trend -0.7 (-1.1, -0.2)
Hancock County No 187.6 (170.0, 206.8) 88 falling falling trend -0.9 (-1.6, -0.3)
Preston County No 187.6 (169.6, 207.1) 83 falling falling trend -0.7 (-1.3, -0.1)
Marshall County No 186.9 (169.7, 205.5) 91 falling falling trend -0.8 (-1.5, -0.2)
Barbour County No 185.2 (160.7, 212.7) 42 stable stable trend -0.7 (-1.6, 0.2)
Ohio County No 185.0 (170.1, 201.0) 122 falling falling trend -1.4 (-1.8, -0.9)
Nicholas County No 184.5 (165.0, 205.9) 68 falling falling trend -1.0 (-1.7, -0.4)
Mineral County No 182.5 (163.8, 203.0) 72 stable stable trend -0.7 (-1.3, 0.0)
Upshur County No 180.5 (160.1, 203.0) 59 falling falling trend -1.0 (-1.7, -0.2)
Brooke County No 178.0 (158.8, 199.3) 67 falling falling trend -1.0 (-1.8, -0.3)
Wayne County No 176.7 (161.2, 193.3) 100 falling falling trend -1.7 (-2.2, -1.1)
Putnam County No 175.9 (162.1, 190.6) 124 falling falling trend -1.1 (-1.6, -0.5)
Pocahontas County No 175.7 (145.3, 211.8) 25 stable stable trend -0.9 (-2.1, 0.3)
Braxton County No 173.9 (149.3, 202.0) 37 stable stable trend -1.0 (-2.0, 0.0)
Jackson County No 172.8 (155.1, 192.3) 71 falling falling trend -0.8 (-1.4, -0.1)
Doddridge County No 172.3 (138.0, 213.4) 18 falling falling trend -1.2 (-2.4, -0.1)
Hardy County No 172.3 (147.1, 201.2) 35 falling falling trend -1.2 (-1.9, -0.5)
Taylor County No 171.8 (148.3, 198.3) 40 falling falling trend -1.6 (-2.5, -0.8)
Jefferson County No 171.8 (156.8, 187.8) 104 falling falling trend -1.2 (-1.9, -0.4)
Randolph County No 171.3 (153.5, 190.9) 71 falling falling trend -0.9 (-1.7, -0.2)
Grant County Yes 161.1 (134.6, 191.8) 28 stable stable trend -1.0 (-2.3, 0.3)
Monongalia County Yes 158.4 (146.6, 170.8) 141 falling falling trend -1.5 (-2.1, -0.8)
Tucker County Yes 150.1 (119.6, 187.7) 17 stable stable trend -1.2 (-2.3, 0.0)
Summers County Yes 148.1 (125.1, 174.8) 32 falling falling trend -1.4 (-2.3, -0.6)
Pendleton County Yes 145.1 (117.2, 179.4) 20 falling falling trend -1.5 (-2.8, -0.2)
Notes:
Created by statecancerprofiles.cancer.gov on 03/21/2019 11:42 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 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 calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.



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.

Data for United States does not include Puerto Rico.

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