2019 US Power Outage Report
In 2019, the average US customer tracked by EAGLE-I went without power for about 4.6 hours, the 9th worst of the 11 loaded years (2015–2025). Figures include major storm days.
Avg hrs / customer
4.6
Customer-hours out
698.1M
EAGLE-I coverage
91%
of US customers
Largest county peak
313,327
customers out at once
Outage events
1,288,250
Counties reporting
2,964
2019 in context
Hardest-hit counties in 2019
Top 25 two ways: per customer (counties tracking at least 1,000 customers, so tiny counties don't swing the list) and total customer-hours (where the most people were affected).
| # | County | Hrs / customer | Customer-hours | Customers | Peak out | Events |
|---|---|---|---|---|---|---|
| 1 | Tensas Parish, LA | 283.2 | 453K | 1,600 | 1,600 | 108 |
| 2 | Sierra County, CA | 256.5 | 532K | 2,072 | 1,681 | 123 |
| 3 | Calaveras County, CA | 154.8 | 2.9M | 18,417 | 18,417 | 490 |
| 4 | Amador County, CA | 154.0 | 2.6M | 17,050 | 17,050 | 421 |
| 5 | Fairfax city, VA | 150.0 | 1.9M | 12,701 | 12,701 | 511 |
| 6 | Lake County, CA | 140.8 | 4.0M | 28,397 | 28,397 | 574 |
| 7 | Tuolumne County, CA | 123.3 | 2.9M | 23,610 | 23,610 | 528 |
| 8 | Nevada County, CA | 122.9 | 6.4M | 52,251 | 52,251 | 498 |
| 9 | New Hanover County, NC | 112.5 | 286K | 2,544 | 2,544 | 898 |
| 10 | Mendocino County, CA | 103.0 | 4.0M | 39,041 | 39,041 | 467 |
| 11 | Hamilton County, NY | 97.9 | 251K | 2,561 | 2,561 | 202 |
| 12 | Clay County, WV | 95.1 | 234K | 2,463 | 1,772 | 334 |
| 13 | Pamlico County, NC | 89.6 | 162K | 1,811 | 1,811 | 376 |
| 14 | El Dorado County, CA | 85.0 | 8.1M | 95,672 | 66,493 | 399 |
| 15 | Humboldt County, CA | 80.9 | 4.8M | 59,962 | 59,962 | 496 |
| 16 | Robertson County, TX | 80.8 | 223K | 2,755 | 2,755 | 477 |
| 17 | Shasta County, CA | 80.6 | 6.5M | 81,282 | 38,021 | 471 |
| 18 | Caswell County, NC | 78.6 | 150K | 1,905 | 1,905 | 349 |
| 19 | Jackson Parish, LA | 76.6 | 364K | 4,755 | 4,755 | 395 |
| 20 | Mecklenburg County, NC | 75.6 | 2.1M | 28,172 | 28,172 | 272 |
| 21 | Tehama County, CA | 68.8 | 1.9M | 28,134 | 22,542 | 578 |
| 22 | Marin County, CA | 65.0 | 7.3M | 113,044 | 113,044 | 553 |
| 23 | Durham County, NC | 61.7 | 371K | 6,008 | 5,495 | 700 |
| 24 | Mariposa County, CA | 61.5 | 446K | 7,262 | 7,262 | 433 |
| 25 | Madison County, TX | 59.8 | 132K | 2,203 | 2,203 | 337 |
| # | County | Hrs / customer | Customer-hours | Customers | Peak out | Events |
|---|---|---|---|---|---|---|
| 1 | Dallas County, TX | 17.4 | 16.5M | 948,355 | 313,327 | 120 |
| 2 | Los Angeles County, CA | 3.6 | 13.4M | 3,762,600 | 108,111 | 12 |
| 3 | Sonoma County, CA | 58.1 | 12.4M | 214,127 | 105,823 | 422 |
| 4 | Wayne County, MI | 27.4 | 12.1M | 441,528 | 157,013 | 23 |
| 5 | Kent County, MI | 20.6 | 8.6M | 416,077 | 96,039 | 719 |
| 6 | El Dorado County, CA | 85.0 | 8.1M | 95,672 | 66,493 | 399 |
| 7 | Oakland County, MI | 12.1 | 7.8M | 646,293 | 97,824 | 37 |
| 8 | Marin County, CA | 65.0 | 7.3M | 113,044 | 113,044 | 553 |
| 9 | Harris County, TX | 3.7 | 6.7M | 1,827,686 | 37,123 | 20 |
| 10 | Shasta County, CA | 80.6 | 6.5M | 81,282 | 38,021 | 471 |
| 11 | Nevada County, CA | 122.9 | 6.4M | 52,251 | 52,251 | 498 |
| 12 | San Bernardino County, CA | 6.1 | 5.1M | 840,555 | 36,385 | 276 |
| 13 | Charleston County, SC | 21.3 | 4.9M | 231,046 | 137,536 | 743 |
| 14 | Humboldt County, CA | 80.9 | 4.8M | 59,962 | 59,962 | 496 |
| 15 | Butte County, CA | 52.1 | 4.7M | 90,543 | 34,117 | 391 |
| 16 | Tarrant County, TX | 4.3 | 4.4M | 1,040,761 | 73,079 | 152 |
| 17 | Monmouth County, NJ | 12.8 | 4.4M | 345,701 | 137,151 | 450 |
| 18 | Alameda County, CA | 5.9 | 4.4M | 751,616 | 88,608 | 288 |
| 19 | San Diego County, CA | 3.1 | 4.2M | 1,362,929 | 32,212 | 258 |
| 20 | Santa Cruz County, CA | 35.7 | 4.2M | 118,299 | 57,052 | 312 |
| 21 | Mendocino County, CA | 103.0 | 4.0M | 39,041 | 39,041 | 467 |
| 22 | Placer County, CA | 21.4 | 4.0M | 187,525 | 47,143 | 497 |
| 23 | Lake County, CA | 140.8 | 4.0M | 28,397 | 28,397 | 574 |
| 24 | Contra Costa County, CA | 7.8 | 3.8M | 486,945 | 70,267 | 411 |
| 25 | Napa County, CA | 56.9 | 3.6M | 63,828 | 46,279 | 512 |
States in 2019
Ranked by average hours without power per customer. Change compares with the closest earlier loaded year; coverage is EAGLE-I's share of the state's customers.
| # | State | Hrs / customer | vs prior yr | Customer-hours | Peak out | Coverage |
|---|---|---|---|---|---|---|
| 1 | West Virginia | 13.8 | ▲ 2% | 13.9M | 90,797 | 100% |
| 2 | Michigan | 12.7 | ▲ 28% | 61.4M | 478,688 | 96% |
| 3 | North Carolina | 11.4 | ▼ 73% | 22.5M | 199,452 | 90% |
| 4 | Louisiana | 10.2 | ▲ 98% | 24.6M | 186,642 | 89% |
| 5 | California | 9.3 | ▲ 155% | 147.1M | 1,025,762 | 93% |
| 6 | Vermont | 6.8 | ▼ 41% | 2.6M | 55,970 | 100% |
| 7 | Virginia | 6.3 | ▼ 64% | 21.5M | 160,030 | 97% |
| 8 | Arkansas | 6.1 | ▲ 39% | 10.1M | 95,286 | 83% |
| 9 | Maine | 6.1 | ▼ 44% | 5.0M | 57,594 | 96% |
| 10 | Mississippi | 5.8 | ▲ 89% | 8.6M | 84,567 | 74% |
| 11 | Ohio | 5.2 | ▲ 26% | 29.0M | 190,318 | 93% |
| 12 | Oklahoma | 5.0 | ▲ 84% | 10.3M | 104,863 | 90% |
| 13 | Texas | 4.8 | ▲ 107% | 66.7M | 384,428 | 93% |
| 14 | South Carolina | 4.8 | ▼ 7% | 13.6M | 245,410 | 99% |
| 15 | Alaska | 4.7 | ▼ 23% | 1.3M | 21,682 | 67% |
| 16 | New Jersey | 4.7 | ▼ 48% | 19.5M | 361,796 | 98% |
| 17 | Pennsylvania | 4.7 | ▼ 44% | 28.6M | 232,230 | 96% |
| 18 | Hawaii | 4.6 | ▲ 58% | 1.6M | 32,353 | 66% |
| 19 | Wisconsin | 4.4 | ▲ 153% | 13.4M | 150,626 | 84% |
| 20 | Rhode Island | 4.2 | ▼ 65% | 2.1M | 41,678 | 99% |
| 21 | South Dakota | 3.8 | ▲ 242% | 1.7M | 19,901 | 87% |
| 22 | Missouri | 3.8 | ▲ 125% | 11.0M | 122,495 | 95% |
| 23 | Oregon | 3.8 | ▲ 84% | 7.7M | 50,401 | 86% |
| 24 | New Hampshire | 3.3 | ▼ 42% | 2.5M | 58,697 | 99% |
| 25 | Kentucky | 3.3 | ▼ 42% | 7.7M | 135,545 | 92% |
| 26 | Colorado | 3.3 | ▲ 98% | 9.1M | 701,699 | 83% |
| 27 | Alabama | 3.2 | ▼ 35% | 8.4M | 57,423 | 81% |
| 28 | Kansas | 3.2 | ▲ 11% | 4.6M | 41,139 | 74% |
| 29 | Indiana | 3.1 | ▼ 20% | 10.1M | 55,851 | 82% |
| 30 | Massachusetts | 3.0 | ▼ 76% | 9.9M | 228,908 | 89% |
| 31 | New York | 3.0 | ▼ 60% | 25.0M | 241,836 | 98% |
| 32 | Tennessee | 2.7 | ▲ 25% | 9.2M | 130,174 | 73% |
| 33 | Maryland | 2.6 | ▼ 53% | 6.9M | 56,015 | 97% |
| 34 | Georgia | 2.5 | ▼ 46% | 12.7M | 65,442 | 86% |
| 35 | Utah | 2.5 | ▲ 27% | 3.2M | 20,677 | 80% |
| 36 | District of Columbia | 2.2 | ▼ 54% | 716K | 31,322 | 100% |
| 37 | Iowa | 2.2 | 0% | 3.5M | 28,186 | 89% |
| 38 | New Mexico | 2.1 | ▲ 17% | 2.1M | 22,278 | 81% |
| 39 | Idaho | 2.1 | ▲ 6% | 2.0M | 17,471 | 92% |
| 40 | Washington | 2.0 | ▼ 2% | 7.2M | 55,835 | 86% |
| 41 | Delaware | 1.9 | ▼ 23% | 951K | 16,260 | 86% |
| 42 | Florida | 1.9 | ▼ 66% | 20.8M | 102,041 | 97% |
| 43 | Illinois | 1.8 | ▼ 26% | 10.9M | 110,458 | 99% |
| 44 | Minnesota | 1.7 | ▼ 13% | 4.6M | 33,919 | 71% |
| 45 | Nevada | 1.3 | ▼ 22% | 1.8M | 19,113 | 95% |
| 46 | Wyoming | 1.3 | ▲ 10% | 438K | 11,522 | 68% |
| 47 | Arizona | 1.3 | ▼ 36% | 4.0M | 52,750 | 86% |
| 48 | Nebraska | 1.1 | ▼ 57% | 931K | 17,049 | 46% |
| 49 | North Dakota | 1.1 | ▲ 42% | 448K | 21,027 | 53% |
| 50 | Montana | 0.6 | ▼ 68% | 349K | 7,429 | 75% |
| 51 | Connecticut | - | - | 4.4M | 90,583 | 95% |
Territories in 2019
Reported on their own: not ranked with the states, and not part of the national figures above.
| Territory | Hrs / customer | Customer-hours | Coverage |
|---|---|---|---|
| U.S. Virgin Islands | 47.2 | 2.7M | 100% |
Biggest single outages of 2019
The 25 county outage episodes with the most customers out at once.
| # | County | Started (UTC) | Ended (UTC) | Duration | Peak out | Customer-hours |
|---|---|---|---|---|---|---|
| 1 | Dallas County, TX | May 28, 2019 07:45 | July 8, 2019 02:15 | 40d 18h | 313,327 | 11.3M |
| 2 | Wayne County, MI | July 16, 2019 22:00 | July 27, 2019 18:15 | 10d 20h | 157,013 | 8.2M |
| 3 | Jefferson County, CO | February 15, 2019 20:30 | February 16, 2019 03:15 | 6h 45m | 156,331 | 73K |
| 4 | Denver County, CO | February 14, 2019 15:00 | February 16, 2019 07:00 | 1d 16h | 141,684 | 63K |
| 5 | Charleston County, SC | September 4, 2019 11:30 | September 13, 2019 03:45 | 8d 16h | 137,536 | 4.5M |
| 6 | Monmouth County, NJ | July 15, 2019 15:15 | July 27, 2019 18:15 | 12d 3h | 137,151 | 3.5M |
| 7 | Sacramento County, CA | January 6, 2019 18:30 | January 10, 2019 14:00 | 3d 19h | 135,474 | 595K |
| 8 | Arapahoe County, CO | February 8, 2019 09:00 | February 16, 2019 23:15 | 8d 14h | 124,233 | 69K |
| 9 | Boone County, MO | December 13, 2019 13:30 | December 13, 2019 20:00 | 6h 30m | 121,913 | 155K |
| 10 | Marin County, CA | October 27, 2019 06:30 | October 29, 2019 08:00 | 2d 1h | 113,044 | 4.9M |
| 11 | Los Angeles County, CA | July 8, 2019 04:00 | July 27, 2019 18:15 | 19d 14h | 108,111 | 628K |
| 12 | Sonoma County, CA | October 27, 2019 06:30 | October 29, 2019 08:00 | 2d 1h | 105,823 | 4.4M |
| 13 | Adams County, CO | February 4, 2019 18:45 | April 7, 2019 10:00 | 61d 15h | 102,641 | 1.2M |
| 14 | Oakland County, MI | July 8, 2019 04:15 | July 27, 2019 18:15 | 19d 14h | 97,824 | 4.4M |
| 15 | Sonoma County, CA | October 23, 2019 06:15 | October 27, 2019 05:45 | 3d 23h | 96,254 | 1.1M |
| 16 | Kent County, MI | February 6, 2019 03:45 | February 14, 2019 11:30 | 8d 7h | 96,039 | 4.9M |
| 17 | Alameda County, CA | October 27, 2019 06:30 | October 29, 2019 08:00 | 2d 1h | 88,608 | 2.5M |
| 18 | Sonoma County, CA | October 29, 2019 10:45 | November 9, 2019 06:00 | 10d 19h | 88,563 | 3.5M |
| 19 | Ocean County, NJ | July 17, 2019 13:45 | July 28, 2019 09:00 | 10d 19h | 87,344 | 1.4M |
| 20 | Sonoma County, CA | October 29, 2019 09:15 | October 29, 2019 10:00 | 45m | 86,382 | 65K |
| 21 | Dallas County, TX | October 17, 2019 11:45 | November 4, 2019 10:30 | 17d 22h | 83,944 | 2.6M |
| 22 | Orange County, CA | October 4, 2019 22:15 | October 5, 2019 11:15 | 13h | 83,382 | 345K |
| 23 | Oklahoma County, OK | August 26, 2019 19:00 | August 31, 2019 07:00 | 4d 12h | 80,563 | 2.4M |
| 24 | Marin County, CA | October 29, 2019 10:45 | November 1, 2019 03:30 | 2d 16h | 78,974 | 1.2M |
| 25 | Marin County, CA | October 29, 2019 09:15 | October 29, 2019 10:00 | 45m | 78,174 | 59K |
EAGLE-I tracked about 91% of US electricity customers in 2019; utilities it does not see are missing from every figure here. “Hrs per customer” divides outage customer-minutes by modeled county customers (a SAIDI-like measure including major event days), so it is not the EIA-861 SAIDI utilities file.