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

Power outage history

Schuyler County New York

25hours

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

2nd most of 62 in New York 3.8× the national median

Worst outage on record Jul 15, 2024 100% of customers out · 90% back in 2.1 days
Hours without power, average customer per year 25h / yr State average 4.3 h · national median 6.6 h
Major outages a year 14.0 Peaks over 10% of customers or 50,000 customers
Typical time to restore 90% 3hours Median across major outages, from the peak
Longest single outage 3.9days Mar 1, 2018, over 1% of customers out
Outage hours on storm days 45% Share falling on days with a NOAA storm report here
Worst year 2024 2.1 days without power, average customer
Electricity customers 4,852 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 Schuyler'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

2024 was the worst well-recorded year, at 2.1 days for the average customer. Hatched years have a thin record and are left out of the averages.

Schuyler, hours without power per customer

SchuylerUS median countyNew York average
0 20 40 60 15 ’15 9.4 ’16 20 ’17 41 ’18 20 ’19 15 ’20 27 ’21 14 ’22 12 ’23 50 ’24 23 ’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
Jul 15, 2024 Thunderstorms 4,852 100% 2.6 d 2.1 d 147k
Mar 1, 2018 Winter storm 3,164 65% 3.9 d 2.2 d 99k
Jan 9, 2024 No storm report 2,879 59% 2.1 d 35 h 41k
Mar 16, 2025 Thunderstorms 1,360 28% 44 h 35 h 29k
Jul 13, 2021 Thunderstorms 3,744 77% 21 h 18 h 25k
Dec 2, 2019 Winter storm 4,175 86% 15 h 2.8 h 22k
Jul 2, 2018 No storm report 1,882 39% 22 h 14 h 19k
Mar 26, 2021 No storm report 2,254 46% 32 h 3.0 h 19k
Apr 4, 2018 No storm report 932 19% 23 h 17 h 17k
Nov 22, 2024 No storm report 544 11% 42 h 31 h 17k
Aug 25, 2019 No storm report 4,852 100% 3.0 h 3.0 h 13k
Aug 14, 2018 Flooding 1,282 26% 33 h 48 min 13k

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 +4h 90% by +22h

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 Schuyler from twelve hours before it began to its peak. Matching shows coincidence, not proof of cause.

  • No storm on record 55%
  • Thunderstorms 29%
  • Winter storm 13%
  • Flooding 1.4%

Who keeps the lights on

Utilities serving Schuyler

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
New York State Elec & Gas Corp Investor Owned 302 146 1.85 22.6 794k
Steuben Rural Elec Coop, Inc NY 883 533 3.15 12.3 67k
Village of Watkins Glen NY – – – – 13k

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 4,852 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 →