Outage Almanac

West Virginia power outages

55 counties with outage records. Pick one to see its history.

West Virginia averaged 3.14 times the US outage time per person

That ranks 3 of 50 states and DC, where 1 has the most. February and June made up 33% of outage time. Records run from 2015 to 2023, and some counties start later.

Wayne County had the most outage time per resident of 48 rated counties.

Counties ranked by outage time

RankCountyMajor outages per yearLongest (hours)Times US rate
1Wayne County15.617810.36
2Clay County9.113810.12
3Lincoln County15.417710.02
4Calhoun County4.3708.42
5Ritchie County4.8807.65
6Roane County7.61717.26
7Mingo County13.8807.10
8Doddridge County5.1606.03
9Tyler County2.6605.88
10Boone County10.8815.27
11Marshall County10.81215.01
12Jackson County7.01234.79
13Pendleton County1.4384.51
14Cabell County10.01794.47
15Wetzel County3.9644.24
16Logan County9.91184.14
17Fayette County11.31054.13
18Lewis County4.8534.09
19Mason County5.31813.95
20Nicholas County5.4813.63
21McDowell County6.2803.62
22Pleasants County1.7483.53
23Hampshire County2.41083.51
23Monroe County2.9583.51
25Kanawha County16.41583.42
26Wyoming County6.41063.12
27Putnam County7.11782.94
27Upshur County4.1422.94
29Summers County2.8792.88
30Raleigh County8.01352.82
31Ohio County6.21132.80
32Hardy County2.7832.73
33Barbour County3.2352.53
34Grant County1.9402.43
35Marion County4.8712.15
36Harrison County5.1592.03
37Morgan County2.4582.02
38Taylor County3.3361.89
39Randolph County3.4521.85
40Hancock County2.0461.79
41Wood County4.0661.71
42Mercer County5.61221.64
43Brooke County2.0711.59
44Monongalia County3.9471.29
45Preston County2.4441.18
46Mineral County1.2481.05
47Jefferson County1.6460.54
48Berkeley County1.2440.24

Rank uses outage time per resident. Times US rate compares each county with the national average.

When outages hit West Virginia

Share of the state's customer-hours by month.

0%
5%
10%
15%
20%
JanJFebFMarMAprAMayMJunJJulJAugASepSOctONovNDecD

Not rated

These counties have short histories, very small populations, or customer counts that look too high for the population.