Contains aggregated power outage data by ZIP Code. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.
This dataset includes an aggregated and event-correlated analysis of power outages in the United States, synthesized by integrating three data sources: the Environment for the Analysis of Geo-Located Energy Information (EAGLE-I), the Electric Emergency Incident Disturbance Report (DOE-417), and Annual Estimates of the Resident Population for Counties 2024 (CO-EST2024-POP). The EAGLE-I dataset, spanning from 2014 to 2023, encompasses over 146 million customers and offers county-level outage information at 15-minute intervals. The data has been processed, filtered, and aggregated to deliver an enhanced perspective on power outages, which are then correlated with DOE-417 data based on geographic location as well as the start and end times of events. For each major disturbance documented in DOE-417, essential metrics are defined to quantify the outages associated with the event. This dataset supports researchers in examining outages triggered by major disturbances like extreme weather and physical disruptions, thereby aiding studies on power system resilience. Links to the raw data for generating the correlated dataset are included below as "DOE-417", "EAGLE-I", and "CO-EST2024-POP" resources. Acknowledgement: This work is funded by the Laboratory Directed Research and Development (LDRD) at the Pacific Northwest National Laboratory (PNNL) as part of the Resilience Through Data-Driven, Intelligently Designed Control (RD2C) Initiative.
Power outages have become a significant concern across the United States, with the most incidents reported in the state of Texas. Between 2000 and 2023, the Lone Star State experienced *** major power outages, followed closely by California with ***. This high frequency of outages applies pressure on the country’s electrical grid system, requiring improvements to infrastructure and greater resilience measures. Causes and consequences of power outages The primary causes of power outages in the U.S. are equipment failures and weather-related incidents, accounting for **** percent and **** percent of outages, respectively. These disruptions can lead to substantial economic losses, with property damage being the most costly consequence. In some cases, property damage from power outages can reach up to ****** U.S. dollars. The financial impact of outages extends beyond immediate repairs, as businesses and households must also account for expenses related to emergency supplies. Regional disparities in outage frequency The frequency and impact of power outages vary significantly across different regions and metropolitan areas. In 2023, Detroit was the most affected U.S. metropolitan area, with nearly ** percent of households experiencing at least one complete power outage. On a single day in May 2025, the Mid-Atlantic region reported over ****** electric outages, demonstrating the vulnerability of certain areas to widespread blackouts. California, despite ranking second in the number of major outages from 2000 to 2023, had the highest number of customers affected by power outages in 2023, with over ** million people impacted.
Globally, firms experience about ***** electrical outage events in a typical month as of 2018. In the Middle East and North Africa, there are some ** power outages in firms in an average month. There is a vast difference between high income regions and low income regions.
This DOI contains information on the EAGLE-I power outage dataset and serves as a blanket DOI for all EAGLE-I historic data. Historic power outage data from specific years have been linked to this DOI.
The power outages in this layer are pulled directly from the utility public power outage maps and is automatically updated every 15 minutes. This dataset represents only the most recent power outages and does not contain any historical data.
U.S. Government Workshttps://www.usa.gov/government-works
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Contains aggregated power outage data by County. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.
Contains information on the power provider feeds. Data indicates the response code for the various feeds as well as the data created date. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.
The provided EAGLE-I historic dataset includes eight years of power outage information at the county level from 2014 to 2022 at 15-minute intervals collected by the EAGLE-I program at ORNL. The data has been collected from utility’s public outage maps using an ETL process. The dataset details FIPS code, county name, state name, total number of customers without power, and a date/timestamp. Also included is the EAGLE-I coverage of each state for each year. For detailed metadata, refer to the metadata DOI.
This feature view is based on the Power Outage Form Data feature service and represents a comprehensive view of all power outages reported and captured by the Montgomery County IT-GIS group since 2020. It includes outages that occurred during major events, such as severe weather, when the Emergency Operations Center (EOC) is activated, and first responders are mobilized. The data is aggregated from the Power Outage Coverage Area (polygon data) and the Power Outage Log (details data).Data Includes:Power Outage Coverage Area (Polygon Data): Geographical areas affected by each power outage event.Power Outage Log (Details Data): Specific details about each outage, including outage start and end times, affected areas, power provider, and resolution status.Data Source:The data is sourced from the Power Outage Form Data feature service, which is used to record power outages during major events when the EOC is activated and first responders are engaged. This data is specifically curated to reflect critical power outage incidents in Montgomery County.Access:The feature view is shared publicly, allowing users to visualize and explore power outage data in the public dashboard map and dashboard application.Update Frequency:The feature view is updated as new power outage records are captured during major events. The data includes only outages reported during such events, and the view reflects outages since 2020.
This statistic shows the average duration of electricity outages per month in Africa as of 2018, broken down by select country. As of 2018, the average annual duration of electrical outages in Nigeria stood at 4,600 hours.
The power outages in this layer are pulled directly from the utility public power outage maps and is automatically updated every 15 minutes. This dataset represents only the most recent power outages and does not contain any historical data.
This dataset includes the major outages witnessed by different states in the continental U.S. Besides major outages, this data contains information on geographical location of the outages, regional climatic information, land-use characteristics, electricity consumption patterns and economic characteristics of the states affected by the outages.https://docs.lib.purdue.edu/civeng/36/
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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The core of the provided dataset includes eight years of power outage information at the county level from 2014 to 2024 at 15-minute intervals collected from utility’s public outage maps on their websites by the EAGLE-I program at ORNL. Three supplementary files are included to augment the power outage data files. The first file includes the customer coverage rate of each state from 2018-2022. The second file provides the modeled number of electric customers per county as of 2022. The third presents our Data Quality Index and the four sub-components by year by FEMA Region for 2018-2022. UPDATE 2/16/2023: Added 2023 outage data and Uri_Map.R and DQI_processing.R files have been added. They were used to create graphics in associated works.UPDATE 4/10/2025: Added 2024 outage data.
The Outage Data Initiative Nationwide (ODIN) seeks to establish a comprehensive digital reporting standard for power outage data and to enable utilities and others to exchange data freely with designated stakeholders. The program is led by Oak Ridge National Laboratory and the U.S. Department of Energy's Office of Electricity. This dataset contains power outage information provided by utilities in near-real time at county level.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
IntroductionThis dataset contains the frequency and duration that EHV electricity assets are out of service for planned outages from UK Power Networks' Network Vision - an outage planning tracking tool. Which provides a customer facing web portal to provide information about generation customer curtailments and shutdowns to our customers, and provides an interface for our customers to engage with our Outage Planners.
We have removed planned outages which are related to customer sites, i.e. this dataset is not the complete view of unplanned EHV network outages. Distributed generation customers should register and login via our Network Vision tool for full visibility.
Methodological Approach
Data Extraction and Cleaning: Data is extracted from Network Vision.
Data Filtering: We have removed planned outages which are related to customer sites, i.e. this dataset is not the complete view of unplanned EHV network outages.
Functional Location Codes (FLOC) Matching: FLOC codes are extracted and matched to Primaries, Grid Sites and Grid Supply Points. Confirmed FLOCs are used to ensure accuracy, with any unmatched sites reviewed by the Open Data Team.
Quality Control Statement
Quality Control Measures include:
Verification steps to match features only with confirmed functional locations. Manual review and correct of data inconsistencies
Assurance Statement The Open Data Team and Outage Planning Team worked together to ensure data accuracy and consistency.
Other
Download dataset information: Metadata (JSON)
Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/
As per a survey conducted in May 2023, ** percent of the household indicated that they faced up to *** hours power outage every day and ** percent experienced power outages between *** to **** hours in a day. The majority of the country is currently experiencing high temperatures which is expected to worsen the power outage situation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
50 buses
Power outages from https://www.endeavourenergy.com.au/outages/current-power-outagesContains: Current outagesFuture outagesRefreshed hourly
Power Outage Areas
Contains aggregated power outage data by ZIP Code. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.