SAIDI
409 min per year
Average outage minutes (2023)
Mid-South Electric Coop Assn is a member-owned electric cooperative operating in Texas under EIA identifier 12452. It reports service to approximately 39,215 customer accounts and generated about $0.13 billion in annual electric revenue, with a service footprint spanning 82 ZIP codes. As a cooperative, its governance is accountable to its ratepayer-members rather than shareholders, which often shapes rate-setting and reinvestment priorities.
In 2023, the average Mid-South Electric Coop Assn customer experienced 409.0 minutes of power interruptions — a metric called SAIDI (System Average Interruption Duration Index). That is substantially above the 120–180 minute national benchmark, indicating either storm-prone geography, aging infrastructure, or extended restoration windows. SAIFI — the average number of outage events per customer — was 2.20 for the same period, so customers statistically faced roughly 2 distinct interruptions that year. Excluding major event days (hurricanes, ice storms), SAIDI drops to 97.0 minutes — the gap between that figure and the headline 409.0 reveals how much weather, not day-to-day infrastructure, drove outages.
The EIA dataset includes 4 years of continuous reporting (2020–2023) for Mid-South Electric Coop Assn, which lets you see whether reliability is trending up or down rather than judging from a single snapshot. SAIDI has increased from 202.0 to 409.0 minutes, which may reflect either worsening weather exposure or delayed grid modernization. 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
409 min per year
Average outage minutes (2023)
SAIFI
2.20 interruptions/yr
Outage frequency (2023)
Customers
39,215
Served in Texas
409 minutes per customer per year
Minutes without power per year (2023)
| Year | SAIDI (min) | SAIDI nMED | SAIFI | Customers |
|---|---|---|---|---|
| 2020 | 202.0 | 84.0 | 1.850 | — |
| 2021 | 677.0 | 100.0 | 14.260 | — |
| 2022 | 184.0 | 107.0 | 2.100 | — |
| 2023 | 409.0 | 97.0 | 2.200 | — |
SAIDI nMED = SAIDI without major event days. Source: EIA Form 861.
Mid-South Electric Coop Assn serves 82 ZIP codes in Texas.
Mid-South Electric Coop Assn had a SAIDI of 409.0 minutes in 2023, meaning the average customer experienced about 409 minutes of outages that year. This is above the national average, indicating below-average reliability.
Mid-South Electric Coop Assn is classified as a Cooperative serving Texas. Electric cooperatives are member-owned nonprofit utilities, typically serving rural areas.
SAIDI (System Average Interruption Duration Index) measures the average total minutes per year that a customer of Mid-South Electric Coop Assn experiences power outages. A lower SAIDI indicates better reliability. The national average is roughly 120-180 minutes per year, so comparing Mid-South Electric Coop Assn's SAIDI to that benchmark shows whether this utility is above or below average.
Mid-South Electric Coop Assn serves approximately 39,215 customers in Texas. Customer count can affect reliability metrics because larger utilities may face different infrastructure challenges compared to smaller ones.
Mid-South Electric Coop Assn 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.