Oregon averaged 1.12 times the US outage time per person
That ranks 14 of 50 states and DC, where 1 has the most. February and September made up 55% of outage time. Records run from 2015 to 2023, and some counties start later.
Tillamook County had the most outage time per resident of 32 rated counties.
Counties ranked by outage time
| Rank | County | Major outages per year | Longest (hours) | Times US rate |
|---|---|---|---|---|
| 1 | Tillamook County | 1.8 | 74 | 3.39 |
| 2 | Clackamas County | 5.1 | 144 | 2.73 |
| 3 | Lincoln County | 2.4 | 97 | 2.23 |
| 4 | Marion County | 2.6 | 202 | 2.07 |
| 5 | Clatsop County | 2.6 | 51 | 1.83 |
| 6 | Douglas County | 1.9 | 231 | 1.72 |
| 7 | Wallowa County | 0.9 | 22 | 1.44 |
| 8 | Josephine County | 2.9 | 112 | 1.22 |
| 9 | Curry County | 2.0 | 26 | 1.19 |
| 10 | Linn County | 2.7 | 497 | 1.04 |
| 10 | Multnomah County | 3.6 | 266 | 1.04 |
| 12 | Yamhill County | 3.3 | 132 | 1.02 |
| 13 | Polk County | 1.8 | 138 | 1.00 |
| 14 | Jackson County | 2.3 | 229 | 0.93 |
| 15 | Coos County | 1.6 | 68 | 0.87 |
| 16 | Jefferson County | 0.7 | 50 | 0.75 |
| 17 | Grant County | 0.6 | 32 | 0.74 |
| 18 | Baker County | 0.3 | 10 | 0.71 |
| 19 | Umatilla County | 1.9 | 52 | 0.61 |
| 20 | Morrow County | 0.1 | 50 | 0.57 |
| 21 | Benton County | 1.0 | 104 | 0.53 |
| 22 | Union County | 0.7 | 16 | 0.52 |
| 23 | Washington County | 1.7 | 132 | 0.51 |
| 24 | Lane County | 1.0 | 563 | 0.48 |
| 25 | Crook County | 1.0 | 29 | 0.47 |
| 26 | Klamath County | 0.9 | 62 | 0.44 |
| 27 | Deschutes County | 0.9 | 50 | 0.28 |
| 28 | Malheur County | 0.2 | 9 | 0.26 |
| 29 | Harney County | 0.3 | 15 | 0.19 |
| 30 | Hood River County | 0.3 | 10 | 0.17 |
| 31 | Lake County | 0.0 | None | 0.14 |
| 32 | Wasco County | 0.2 | 26 | 0.13 |
Rank uses outage time per resident. Times US rate compares each county with the national average.
When outages hit Oregon
Share of the state's customer-hours by month.
0%
10%
20%
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JanJFebFMarMAprAMayMJunJJulJAugASepSOctONovNDecD
Not rated
These counties have short histories, very small populations, or customer counts that look too high for the population.
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