– 0% of Franklin out 0 customers out in New York

Power outage history

Franklin County New York

6.4hours

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

29th most of 62 in New York close to the national median

Worst outage on record May 5, 2018 37% of customers out · 90% back in 46 hours
Hours without power, average customer per year 6.4h / yr State average 4.3 h · national median 6.6 h
Major outages a year 1.5 Peaks over 10% of customers or 50,000 customers
Typical time to restore 90% 11hours Median across major outages, from the peak
Longest single outage 2.9days Nov 1, 2019, over 1% of customers out
Outage hours on storm days 75% Share falling on days with a NOAA storm report here
Worst year 2018 15 hours without power, average customer
Electricity customers 23,669 ORNL customer model · 8 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 Franklin'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

2018 was the worst well-recorded year, at 15 hours for the average customer. Hatched years have a thin record and are left out of the averages.

Franklin, hours without power per customer

FranklinUS median countyNew York average
0 5 10 15 20 2.2 ’15 3.9 ’16 5.5 ’17 15 ’18 7.5 ’19 2.0 ’20 8.6 ’21 7.0 ’22 3.0 ’23 4.0 ’24 4.3 ’25 US 6.6 NY 4.3

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
May 4, 2018 Thunderstorms 8,669 37% 2.8 d 46 h 206k
Nov 1, 2019 Windstorm 4,789 20% 2.9 d 2.3 d 121k
Dec 11, 2021 Windstorm 4,402 19% 2.1 d 45 h 108k
Apr 4, 2018 Windstorm 3,920 17% 33 h 24 h 64k
Apr 19, 2022 Winter storm 2,830 12% 37 h 29 h 41k
Dec 19, 2025 Windstorm 4,125 17% 34 h 22 h 39k
Dec 17, 2022 Winter storm 3,040 13% 21 h 17 h 29k
Jan 9, 2024 Windstorm 3,646 15% 17 h 15 h 28k
Dec 10, 2021 No storm report 2,353 10% 15 h 17 h 26k
Dec 23, 2022 Windstorm 2,002 8% 29 h 21 h 25k
Jul 20, 2021 Thunderstorms 3,389 14% 20 h 15 h 22k
Oct 22, 2016 No storm report 1,797 8% 28 h 4.5 h 19k

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 +6h 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 Franklin from twelve hours before it began to its peak. Matching shows coincidence, not proof of cause.

  • Windstorm 40%
  • No storm on record 25%
  • Thunderstorms 23%
  • Winter storm 11%
  • Heat 0.6%

Who keeps the lights on

Utilities serving Franklin

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

Utility Type Outage min / yr Excl. major storms Outages / yr Residential ¢/kWh Customers
Niagara Mohawk Power Corp. Investor Owned 242 140 1.39 19.9 1.5M
New York State Elec & Gas Corp Investor Owned 302 146 1.85 22.6 794k
Village of Tupper Lake NY – – – – 52k

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 New York

Where it is darkest

Hours / yr64+

All New York 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 23,669 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 →