SAIDI
144 min per year
Average outage minutes (2023)
Pike County Light & Power Co is a investor-owned utility operating in Pennsylvania under EIA identifier 15045. It reports service to approximately 4,336 customer accounts and generated about $0.01 billion in annual electric revenue, with a service footprint spanning 4 ZIP codes. As an investor-owned utility, it operates under state public utility commission oversight that reviews rate cases and reliability performance.
In 2023, the average Pike County Light & Power Co customer experienced 144.0 minutes of power interruptions — a metric called SAIDI (System Average Interruption Duration Index). That sits within the 120–180 minute national benchmark range, indicating performance typical of U.S. distribution utilities. SAIFI — the average number of outage events per customer — was 1.52 for the same period, so customers statistically faced roughly 2 distinct interruptions that year. Excluding major event days (hurricanes, ice storms), SAIDI drops to 54.0 minutes — the gap between that figure and the headline 144.0 reveals how much weather, not day-to-day infrastructure, drove outages.
The EIA dataset includes 4 years of continuous reporting (2020–2023) for Pike County Light & Power Co, which lets you see whether reliability is trending up or down rather than judging from a single snapshot. SAIDI has improved from 778.2 to 144.0 minutes over that window — a meaningful direction for prospective customers and regulators watching capital investment outcomes. All figures on this page come directly from EIA Form 861, the federal annual electric power industry survey, with service territory ZIPs sourced from OpenEI — you can cross-reference them with your own utility bill or use them when comparing providers before relocating.
SAIDI
144 min per year
Average outage minutes (2023)
SAIFI
1.52 interruptions/yr
Outage frequency (2023)
Customers
4,336
Served in Pennsylvania
144 minutes per customer per year
Minutes without power per year (2023)
| Year | SAIDI (min) | SAIDI nMED | SAIFI | Customers |
|---|---|---|---|---|
| 2020 | 778.2 | 83.0 | 2.230 | — |
| 2021 | 259.0 | 216.0 | 2.270 | — |
| 2022 | 925.0 | 79.0 | 2.620 | — |
| 2023 | 144.0 | 54.0 | 1.520 | — |
SAIDI nMED = SAIDI without major event days. Source: EIA Form 861.
Pike County Light & Power Co serves 4 ZIP codes in Pennsylvania.
Pike County Light & Power Co had a SAIDI of 144.0 minutes in 2023, meaning the average customer experienced about 144 minutes of outages that year. This is near the national average.
Pike County Light & Power Co is classified as a IOU serving Pennsylvania. Investor-owned utilities (IOUs) are for-profit companies regulated by state public utility commissions.
SAIDI (System Average Interruption Duration Index) measures the average total minutes per year that a customer of Pike County Light & Power Co experiences power outages. A lower SAIDI indicates better reliability. The national average is roughly 120-180 minutes per year, so comparing Pike County Light & Power Co's SAIDI to that benchmark shows whether this utility is above or below average.
Pike County Light & Power Co serves approximately 4,336 customers in Pennsylvania. Customer count can affect reliability metrics because larger utilities may face different infrastructure challenges compared to smaller ones.
Pike County Light & Power Co has 4 years of reliability data (2020-2023). SAIDI has remained relatively stable over this period. Review the trend table above for year-by-year detail.
SAIDI "without major event days" (SAIDI nMED) excludes outages caused by hurricanes, ice storms, and other catastrophic weather events. It better reflects day-to-day infrastructure reliability rather than vulnerability to extreme weather. Both standard SAIDI and SAIDI nMED are shown in the reliability trend table above.
Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the U.S. Energy Information Administration (EIA) Form 861. Consult a qualified professional before making decisions based on this data.
Read our methodology — how this data is sourced, computed, and verified.