Key Takeaways
- Lifecycle greenhouse gas emissions from nuclear power plants average 12 grams of CO2 equivalent per kilowatt-hour (gCO2eq/kWh), significantly lower than coal's 820 gCO2eq/kWh and natural gas's 490 gCO2eq/kWh according to IPCC assessments.
- In France, nuclear energy accounts for 70% of electricity production, resulting in per capita CO2 emissions from electricity generation of just 57 gCO2eq/kWh in 2022.
- A study by the Nuclear Energy Agency (NEA) found that nuclear power's full lifecycle emissions are 5-15 gCO2eq/kWh when including uranium mining, construction, operation, and decommissioning.
- Nuclear power plants require 0.3-0.6 grams of uranium per kWh, enabling high energy density with minimal resource extraction compared to renewables.
- A single 1000 MWe nuclear plant uses fuel amounting to 27 tonnes of uranium per year, versus 2.8 million tonnes coal for same output.
- NEA reports nuclear energy has a land use of 0.3 m² per kWh/year, lowest among energy sources except hydro.
- Lifetime high-level waste from 1 TWh nuclear is 1 tonne, vs 300,000 tonnes ash from coal.
- 95% of spent nuclear fuel is recyclable, with France reprocessing 96% of its used fuel annually.
- IAEA reports global high-level waste inventory is 400,000 tonnes, small volume for 80,000 TWh produced.
- Levelized cost of waste management for nuclear is $0.0005-0.001/kWh.
- NEA study: Nuclear LCOE $40-80/MWh, competitive with renewables plus storage.
- Lifetime extension of U.S. nuclear plants to 80 years saves $283 billion by 2030.
- Nuclear capacity factor 92.7% in 2022, highest dispatchable source.
- Zero deaths per TWh from nuclear operation (post-1970), vs 24.6 for coal.
- IAEA: 440 reactors operated 17,000 reactor-years with no core melt accidents outside Chernobyl/Three Mile Island.
Nuclear power produces far less emissions than fossil fuels across its lifecycle.
Economic Viability
Economic Viability Interpretation
Greenhouse Gas Emissions
Greenhouse Gas Emissions Interpretation
Nuclear Waste Management
Nuclear Waste Management Interpretation
Resource Efficiency
Resource Efficiency Interpretation
Safety and Reliability
Safety and Reliability Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marcus Engström. (2026, February 13). Sustainability In The Nuclear Industry Statistics. Gitnux. https://gitnux.org/sustainability-in-the-nuclear-industry-statistics
Marcus Engström. "Sustainability In The Nuclear Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sustainability-in-the-nuclear-industry-statistics.
Marcus Engström. 2026. "Sustainability In The Nuclear Industry Statistics." Gitnux. https://gitnux.org/sustainability-in-the-nuclear-industry-statistics.
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