SAIDI
354 min per year
Average outage minutes (2023)
Weakley County Mun Elec Sys is a municipally-owned utility operating in Tennessee under EIA identifier 20228. It reports service to approximately 20,751 customer accounts and generated about $0.05 billion in annual electric revenue, with a service footprint spanning 22 ZIP codes. As a municipal utility, it is typically governed by a local board or city council and is exempt from federal income tax.
In 2023, the average Weakley County Mun Elec Sys customer experienced 354.4 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 13.40 for the same period, so customers statistically faced roughly 13 distinct interruptions that year. Excluding major event days (hurricanes, ice storms), SAIDI drops to 176.4 minutes — the gap between that figure and the headline 354.4 reveals how much weather, not day-to-day infrastructure, drove outages.
The EIA dataset includes 4 years of continuous reporting (2020–2023) for Weakley County Mun Elec Sys, which lets you see whether reliability is trending up or down rather than judging from a single snapshot. SAIDI has increased from 161.0 to 354.4 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
354 min per year
Average outage minutes (2023)
SAIFI
13.40 interruptions/yr
Outage frequency (2023)
Customers
20,751
Served in Tennessee
354 minutes per customer per year
Minutes without power per year (2023)
| Year | SAIDI (min) | SAIDI nMED | SAIFI | Customers |
|---|---|---|---|---|
| 2020 | 161.0 | 161.0 | 2.000 | 20,534 |
| 2021 | 215.7 | 215.4 | 8.309 | 20,534 |
| 2022 | 149.0 | 79.5 | 10.534 | 20,717 |
| 2023 | 354.4 | 176.4 | 13.400 | — |
SAIDI nMED = SAIDI without major event days. Source: EIA Form 861.
Weakley County Mun Elec Sys serves 22 ZIP codes in Tennessee.
Weakley County Mun Elec Sys had a SAIDI of 354.4 minutes in 2023, meaning the average customer experienced about 354 minutes of outages that year. This is above the national average, indicating below-average reliability.
Weakley County Mun Elec Sys is classified as a Municipal serving Tennessee. Municipal utilities are owned and operated by local governments.
SAIDI (System Average Interruption Duration Index) measures the average total minutes per year that a customer of Weakley County Mun Elec Sys experiences power outages. A lower SAIDI indicates better reliability. The national average is roughly 120-180 minutes per year, so comparing Weakley County Mun Elec Sys's SAIDI to that benchmark shows whether this utility is above or below average.
Weakley County Mun Elec Sys serves approximately 20,751 customers in Tennessee. Customer count can affect reliability metrics because larger utilities may face different infrastructure challenges compared to smaller ones.
Weakley County Mun Elec Sys 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.