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.

Contains aggregated power outage data by ZIP Code. Limited historical record inventory. Designed for and consumed by the MEMA Power Outage web application.

In 2024, over *** minutes per customer were lost to power outages in the U.S., the most in the period under consideration. The year 2019 saw the least power outage minutes, amounting to just over *** minutes per customer.

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.

On average, roughly 38,800 people were affected per power outage in Florida in the years between 2008 to 2017. States that experience powerful tropical storms such as Hawaii or heavy blizzards such as Maine often experience widespread blackouts as a result of the disruptive weather patterns.

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.

Note: Sample data provided. ・ 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.

On May 15th, 2025, the highest number of power outages in the U.S. was reported in the Mid-Atlantic region. The region recorded over ****** electric outages that day.

This is a historical dataset from PowerOutage.US (https://poweroutage.us/products). The original data file was converted from TSV (tab separated values) format to Microsoft Excel by American University Library for easier usability; the contents were not altered. Both of those files are made available for downloading here as a ZIP file. For 2016, only data for 14 states is available. Meaning of columns in this dataset: Record Hours- Total number of hours recorded (most of the time it will be 365 * 24) / Customer Hours - Total number of hours recorded by customer (customers * 24 * 365) / Outage Hours - Total number of hours without power per customer / Percent Hours Out - Percent of hours without power per customer / AVG Customer - average amount of tracked customers / Max Outage Count - Max number of customers without power at one time.

Note: Find data at source. ・ 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/

PowerOutage.US is polled every 10 minutes using GeoEvent Server to update county power outage statistics for the State of Georgia.

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.

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. The following utility companies are included:Pacific Gas and Electric (PG&E)Southern California Edison (SCE)San Diego Gas and Electric (SDG&E)Sacramento Municipal Utility District (SMUD)Los Angeles Water & Power (LAWP)Layers included in this dataset:Power Outage Incidents - Point layer that shows data from all of the utilities and is best for showing a general location of the outage and driving any numbers in dashboards.Power Outage Areas - Polygon layer that shows rough power outage areas from PG&E only (They are the only company that feeds this out publicly). With in the PG&E territory this layer is useful to show the general area out of power. The accuracy is limited by how the areas are drawn, but is it good for a visual of the impacted area.Power Outages by County - This layer summaries the total impacted customers by county. This layer is good for showing where outages are on a statewide scale.If you have any questions about this dataset please email GIS@caloes.ca.gov

The provided EAGLE-I historic dataset includes power outage information at the county level for 2024 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, total customers per county, and a date/timestamp. For detailed metadata, refer to the linked metadata DOI.

The dataset will include the simulation results from the WNTR analysis of power outages on the US Virgin Islands water distribution system networks. The results include the resilience metrics: modified resilience index, the water service availability, the difference in water, and the tank capacity. The results are provided for three different power outage scenarios (system-wide, source, and distribution) and are averaged over the entire network as well as three different regions. The values of the resilience metrics are provided over time. This dataset is associated with the following publication: Klise, K., R. Moglen, J. Hogge, D. Eisenberg, and T. Haxton. Resilience analysis of potable water service after power outages in the U.S. Virgin Islands. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT. American Society of Civil Engineers (ASCE), Reston, VA, USA, 148(12): 05022010, (2022).

The highest number of weather related power outages in the United States between 2000 and 2023 was in the year 2020, with *** incidents reported. The year 2011 followed closely with *** incidents reported. Since the pandemic, there was a decrease of ** percent in incidents in 2023 with respect to the year 2020.

All 311 Service Requests from 2010 to present. This information is automatically updated daily.

In 2023, over ****** power outages were reported in the U.S., costing the economy *** billion U.S. dollars. The previous year, power outages cost U.S. residents *** million hours.

In 2024, equipment and weather were the two leading causes of power outages in the U.S., with shares of **** percent and **** percent, respectively. Human error in utilities was the least common cause, with a share of *** percent.