States With the Longest Power Outages in 2024
Backup power planning is local. A 500Wh station that is plenty for a short internet outage can feel inadequate in a state where storm restoration commonly stretches much longer. This study-style guide uses public EIA reliability reporting to translate 2024 outage data into practical home-backup lessons.
Press summary
Backup Power Report reviewed EIA 2024 reliability reporting to identify what outage duration and frequency mean for household backup planning. The short version: long-duration outage areas should prioritize refrigerator/freezer backup and recharge options, while frequent-interruption areas should prioritize router backup, UPS switchover, and easy-to-maintain batteries.
What we used
This page summarizes public outage-reliability data from the U.S. Energy Information Administration's Electric Power Annual and Form EIA-861 reliability reporting. EIA defines SAIDI as the minutes of non-momentary interruptions an average customer experiences in a year and SAIFI as the number of non-momentary interruptions per year. CAIDI is the average restoration time per interruption.
Headline findings
| Finding | What it means | Backup power lesson |
|---|---|---|
| U.S. customers averaged about 11 hours of interruptions in 2024. | That was roughly twice the prior-decade average. | Outage prep is no longer just a camping or gadget topic. |
| Major events drove most interruption hours. | Large storms can dominate annual outage experience. | Prepare before warnings arrive; stores and delivery options get strained quickly. |
| South Carolina had the longest average interruption time in EIA's 2024 reporting, at nearly 53 hours. | Long outages require more than a tiny battery. | Plan for refrigerator/freezer protection, solar recharge, or generator support. |
| Hawaii had the most frequent interruptions, at 4.4 interruptions in 2024. | Frequent interruptions can be disruptive even when individual outages are shorter. | Router backup, UPS devices, and easy-to-recharge stations matter. |
State-level planning lessons
The right backup setup depends on whether your problem is long duration, frequent interruptions, or a mix of both. A long-duration storm state needs more stored energy and a recharge plan. A frequent-blip area may get more value from instant switchover and internet uptime.
| Outage pattern | Best first purchase | When to upgrade |
|---|---|---|
| Frequent short interruptions | UPS for router/modem and a small power station | Upgrade if you also need laptop, lights, or medical-device runtime. |
| Occasional long outages | 1kWh to 2kWh station for essentials | Upgrade to expandable batteries, solar, or generator backup for refrigerators/freezers. |
| Storm-prone coastal areas | Power station plus storm checklist | Add solar or fuel backup before hurricane season if outages can last days. |
| Cold-weather outage areas | Battery for communication and lights | Use safe heat planning separately; portable batteries are usually poor space-heater tools. |
What SAIDI, SAIFI, and CAIDI mean in plain English
- SAIDI: how many minutes the average customer was without power during the year.
- SAIFI: how many non-momentary interruptions the average customer experienced.
- CAIDI: how long restoration took on average once an interruption happened.
For home backup shoppers, SAIDI points toward how much stored energy you may need. SAIFI points toward how often your setup needs to work without fuss. CAIDI helps translate interruptions into realistic restoration windows.
Methodology
This is an editorial study-style summary, not a utility engineering report. Backup Power Report reviewed EIA's national 2024 outage discussion and state-level reliability tables, then translated the findings into household backup-power planning categories. We focused on metrics that matter to homeowners and renters: outage duration, interruption frequency, storm-driven major events, and what kind of backup setup fits those risks.
Sources: EIA Today in Energy, 2024 interruptions; EIA Form EIA-861 detailed data files; EIA reliability metrics table.