The U.S. power system is at an elevated risk of power outages during extreme weather, with critical implications for national security, public health, and the well-being of society. However, there is a dearth of research on how power outages affect the most vulnerable communities across the U.S. due to limited publicly available sub-county level outages data. Our main research question is: How does reliability vary across socioeconomic and geographic characteristics in urban areas of the U.S.?

This article focuses on ZIP code-level outage data and uses geospatial and statistical analyses to examine the variation in electrical reliability across socioeconomic demographics in Seattle and Portland. The article further examines the within- and between-city heterogeneity in the associations across the two cities characterized by distinct utility governance structures. Key findings include:

  1. Socioeconomically disadvantaged ZIP codes in Seattle experienced significantly longer restoration times (CAIDI).
  2. Multivariate analyses yielded no evidence of statistically significant associations between socioeconomic covariates and grid reliability metrics after controlling for geographic covariates.
  3. Distance to nearest hospital emerged as the strongest and most consistent association with total outage duration (SAIDI) and frequency (SAIFI) across both cities
  4. Heterogeneity testing revealed significant between-city differences, suggesting utility governance structure influences equity outcomes.

Our findings underline the importance of studying the power outage dynamics with granular, sub-county data. The major policy implications of this research underline the need for policy intervention to address the heterogeneous distribution of reliable electricity service across communities.

About the authors

Kathryn Chelminski

Energy Policy Researcher, Lawrence Berkeley National Lab

Kathryn Chelminksi is an energy policy researcher at Lawrence Berkeley National Lab and a visiting fellow at the Brown University Watson Institute Climate Solutions Lab. She received her Ph.D. in international relations and political science from the Graduate Institute of International and Development Studies in Geneva.

Her research focuses on just energy transitions in the Global South and North America, the interaction of international institutions and domestic political economy in the realm of clean energy transitions and climate governance, the effectiveness of complex global environmental governance, and policy change in U.S. energy policy.

She has previously held postdoctoral fellowship affiliations with Brown University, the University of Toronto Environmental Governance Lab and Northwestern University Department of Political Science, in addition to predoctoral research fellowships with the Harvard Kennedy School Belfer Center and the University of Cambridge Judge Business School Energy Policy Research Group.

In addition to her academic experience, she have over a decade of experience working on clean energy and environmental policy spanning roles in the clean energy and transportation industries, international organizations, and government.

Guixing Wei

Senior Research Scientist, Brown University Spatial Structures in the Social Sciences

Gian Pietro Bellocca

Ph.D. Candidate in Statistics, Universidad Carlos III de Madrid