– 0% of Iron out 0 customers out in Michigan

Power outage history

Iron County Michigan

12hours

without power for the average customer in a typical year, 2018–2025

47th most of 83 in Michigan 1.9× the national median

Worst outage on record Dec 16, 2021 78% of customers out · 90% back in 9.0 hours
Hours without power, average customer per year 12h / yr State average 13 h · national median 6.6 h
Major outages a year 3.7 Peaks over 10% of customers or 50,000 customers
Typical time to restore 90% 5hours Median across major outages, from the peak
Longest single outage 3.4days Dec 15, 2021, over 1% of customers out
Outage hours on storm days 79% Share falling on days with a NOAA storm report here
Worst year 2022 24 hours without power, average customer
Electricity customers 5,890 ORNL customer model · 7 well-covered years

Every day since 2015

Eleven years, one night at a time

Each cell is a day. The brighter it is, the larger the share of Iron's customers who were without power at that day's worst moment.

20152016201720182019202020212022202320242025
0%100% of customers out

Year by year

Hours in the dark, per customer

2022 was the worst well-recorded year, at 24 hours for the average customer. Hatched years have a thin record and are left out of the averages.

Iron, hours without power per customer

IronUS median countyMichigan average
0 10 20 30 2.1 ’15 5.0 ’16 9.3 ’17 ’18 0.8 ’19 4.4 ’20 23 ’21 24 ’22 8.4 ’23 3.8 ’24 23 ’25 MI 13 US 6.6

The record

The biggest outages since 2015

Ranked by customer-hours lost: customers out multiplied by how long they stayed out. Times are local.

Began Storm Peak out Share Lasted 90% restored Customer-hours
Dec 15, 2021 Windstorm 4,599 78% 3.4 d 9.0 h 99k
Nov 26, 2025 Winter storm 2,034 35% 2.5 d 47 h 68k
May 9, 2022 Windstorm 2,920 50% 38 h 24 h 56k
Jun 15, 2022 Thunderstorms 3,571 61% 2.2 d 33 h 46k
Dec 28, 2025 Winter storm 2,508 43% 44 h 23 h 27k
Jul 27, 2023 No storm report 1,403 24% 24 h 14 h 24k
Apr 10, 2017 Thunderstorms 1,381 23% 26 h 20 h 17k
Jul 26, 2021 Thunderstorms 546 9% 2.4 d 35 h 17k
Mar 7, 2017 No storm report 1,062 18% 39 h 34 h 15k
Oct 17, 2022 Winter storm 1,810 31% 45 h 3.5 h 13k
Mar 30, 2025 Winter storm 766 13% 20 h 18 h 8.9k
Jun 21, 2025 Thunderstorms 1,885 32% 13 h 5.8 h 8.4k

After the peak

How fast the lights come back

Each line is one major outage, from its peak. The amber line is the typical path.

0% 25% 50% 75% 100% peak+24h+48h+72h+96h half back by +8h 90% by +24h

When it happens

The outage clock

Customer-hours out by month (rings, January innermost) and local hour, 2018–2025.

00061218 Jan inside

What was happening

Weather behind the outages

Each outage is matched to NOAA storm reports for Iron from twelve hours before it began to its peak. Matching shows coincidence, not proof of cause.

  • Windstorm 33%
  • Winter storm 28%
  • No storm on record 21%
  • Thunderstorms 18%

Who keeps the lights on

Utilities serving Iron

As each utility reports to the Energy Information Administration for its whole Michigan territory, not this county alone. Outage minutes include major storm days.

Utility Type Outage min / yr Excl. major storms Outages / yr Residential ¢/kWh Customers
Upper Peninsula Power Company Investor Owned 446 190 2.20 28.0 48k
Upper Michigan Energy Resources Corp. Investor Owned 1,249 240 2.46 17.5 33k
City of Crystal Falls Municipal – – – 19.2 1.5k

EIA Form 861, latest year each utility reported. Outage minutes are SAIDI, the yearly minutes the average customer goes without power; outages a year are SAIFI.

Next door

Neighbouring counties

Across Michigan

Where it is darkest

Hours / yr64+

All Michigan counties →

About these numbers

Notes

Outages come from the EAGLE-I record of utility outage maps collected every 15 minutes by Oak Ridge National Laboratory. Hours without power are customer-hours divided by the county's 5,890 electricity customers. Averages use well-covered years from 2018. Outages shorter than 15 minutes, and utilities that publish no outage map, are not in the record, so these figures understate the total. How every number is made →