Consulting Report
14 Oct 2024

The economic contribution of the US nuclear power industry

Commissioned by the Nuclear Energy Institute

The US nuclear power generation industry provided approximately 19% of the electricity output of the electric power sector in 2022. To generate this electricity, the nuclear power industry directly employed 73,832 workers, including 48,252 employees working at nuclear power plants themselves. But the full economic contribution of the nuclear power industry extends further. Altogether, the total (direct, indirect, and induced) economic contribution of the US nuclear power industry in 2022 totaled 256,849 workers and $63.8 billion of GDP. This activity generated $15.9 billion in federal, state, and local taxes.

The states with the largest economic contribution from nuclear power were Illinois ($5.9 billion in GDP), Pennsylvania ($4.8 billion), South Carolina ($3.9 billion), and California ($3.6 billion). On average, each of the 52 US counties which house the nation’s 54 nuclear power plants had 1,758 workers whose job was supported by nuclear power, and an average GDP contribution from nuclear power of $770 million.

Nuclear power has a number of positive sustainability characteristics. Unlike electricity generated by burning fossil fuels like gas or coal, nuclear power generates no significant emissions of air pollution. Nuclear power’s land use footprint is the smallest of any electricity generating technology, less than one-fiftieth that of ground-installed solar, and one three-hundredth that of on-shore wind, per unit of electricity produced. Working at a nuclear power plant is one of the safest jobs in America, with zero fatal accidents since 2017, and a rate of non-fatal accidents one-seventh that of the electric power industry as a whole.

The experts behind the research

Our Economic Consulting team are world leaders in quantitative economic analysis, working with clients around the globe and across sectors to build models, forecast markets and evaluate interventions using state-of-the art techniques. Lead consultant on this project was:

Dan Martin

Lead Economist, Economic Impact

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