Energy · Data story

Who leads nuclear power? The answer depends on the metric

By ChartGlow · · 5 min read

The United States generated 781.86 TWh of nuclear electricity in 2024, ahead of China at 450.85 TWh in this six-country comparison. That answers a question about total output. It does not tell us which country relies most on nuclear power.

Watch 25 years of nuclear generation

Annual nuclear electricity generation, TWh, 2000–2024. Six selected countries; motion between years is interpolated. Native ChartGlow Bar chart, with country flags. Source: Ember via Our World in Data.

The largest rise in this selection

16.74 → 450.85

China’s annual nuclear output, in TWh, from 2000 to 2024. The increase is 434.11 TWh, about 2,593% relative to its starting level.

One question, two possible metrics

Total generation measures how much nuclear electricity a country produces. Nuclear share measures how much of its electricity comes from nuclear. A large national power system can lead on the first measure without leading on the second.

This chart contains generation values only. It does not calculate or rank nuclear shares.

Open the original MP4

What changed between 2000 and 2024?

The table shows the first and last annual observations in the chart. Countries are ordered by their 2024 output. Values retain the source precision; the video displays one decimal place.

Nuclear electricity generation in 2000 and 2024, terawatt-hours, for six selected countries
Country2000 (TWh)2024 (TWh)
United States753.89781.86
China16.74450.85
France415.16380.45
Russia130.71215.71
South Korea108.96188.75
Japan319.1284.91

1 TWh is one billion kilowatt-hours. Generation is energy produced over a year; installed capacity, measured in GW, is a different metric.

Use this project Download the chart data

150 observations · 6 countries × 25 years · the same annual dataset used in the video.

A changing order, with a clear boundary on the claims

Observed: the United States leads all six series throughout the 2000–2024 period. China moves from the smallest output of the six in 2000 to second place in 2024, ahead of France. Japan ends below its 2000 level, while Russia and South Korea end above theirs.

Interpretation: the chart makes the scale of China’s growth visible while showing that the US retains its lead within this selection. It supports a comparison of output and trajectories. It does not identify which energy policy is best, or explain the causes of each country’s changes.

Starting levels matter. China’s large percentage increase begins from a much smaller base than that of the US or France. Read the absolute TWh values alongside the percentage change rather than treating growth rate and total output as interchangeable.

Method, sources, and reuse

We reused the annual dataset and native video accepted on 5 October 2026. The data come from Ember’s Yearly Electricity Data, with processing by Our World in Data. OWID’s nuclear-series metadata identify Ember as the source from 2000 onward for these countries.

We selected the United States, China, France, Russia, South Korea, and Japan, and kept every year from 2000 through 2024: 150 country-year observations, with no missing values in this selection. This is a deliberately bounded comparison, not a complete global ranking. The underlying source also covers other countries and years; this article analyses the period in the accepted chart.

The animation interpolates between annual observations to show motion. Intermediate frames are transitions, not measured monthly or daily generation. Video values are rounded to one decimal; the table and downloadable CSV preserve the selected source values. China’s percentage change is calculated as (450.85 − 16.74) ÷ 16.74 × 100.

The data are attributed to Ember (2026), Yearly Electricity Data, via Our World in Data. Reuse follows Ember’s CC BY 4.0 terms; filtering and animation are our transformations. The native country flags use Flagcdn/Flagpedia assets, whose terms state they are public domain. No source logo or endorsement is implied.

  • This is annual electricity generation, not reactor capacity, number of reactors, safety, costs, emissions, or future projects.
  • The chart ends in 2024. It is not a live 2026 ranking, and future source revisions may change historical values.
  • Absolute generation is not nuclear’s share of a country’s electricity mix. The two questions must be measured separately.
  • The six-country selection and endpoint comparisons cannot establish causes or a worldwide winner.
Explore the source nuclear series

Use these numbers or compare your own countries

Choose the exact CSV to compare this article’s published values, or adapt an illustrative request for your own countries and years. Both start with annual nuclear generation in TWh; nuclear share needs a separate dataset.

Use the exact 150 observations

Six countries × 25 years, 2000–2024. The CSV keeps the annual source observations used to make the video; importing it does not copy the video’s styling or flags.

  1. Download and check the CSV, then open New chart. Sign in if asked, reopen New chart if needed, choose Upload a file, and select the downloaded file yourself.
  2. In Data, check 150 rows. In Fields, map Entity Column → country, Time Column or Order Source → year, and Value / Metric Column → nuclear_electricity_twh; set time Order to Ascending.
  3. Choose Chart → Chart Type → Bar. Check Preview against the table above; keep the TWh unit and Ember via Our World in Data source.
Download exact CSV

In an existing chart, use Data / Edit data → Add data → CSV / Excel File. Review the rows and columns before Replace data: it replaces the whole table. Cancel keeps your current data.

Follow the native import steps →

Compare your own countries and years

Start from the request below, then edit Entities to compare and Period to cover in Generate Dataset. Keep Metric to track as annual total nuclear generation in TWh, or define a different metric and source explicitly.

This is a request to review and adapt, not the exact published CSV. Nothing is generated or applied automatically; check any proposed data and sources before choosing to apply them.

Review the nuclear generation request →

A nuclear generation request for six countries

Metric to track
Annual total nuclear electricity generation (TWh), from Ember Yearly Electricity Data via Our World in Data, electricity-mix series with frequency=annual, metric=generation, source=nuclear. Use annual source observations and keep source references. Flag missing observations; do not invent or fill them. Use total generation, not nuclear share of the electricity mix or installed capacity.
Entities to compare (optional)
United States, China, France, Russia, South Korea, Japan
Period to cover
2000–2024

Choose Review this request. After signing in in the same tab, choose Use this illustrative request in Generate Dataset. The three fields stay editable; nothing is sent automatically, and an existing draft is kept.

The native label is Nuclear generation · Bar idea. The request sets the metric, countries, and period, not the chart type. After reviewing and voluntarily applying data, choose Chart → Chart Type → Bar yourself.

Review this request

This illustrative request asks for annual source values. It does not reproduce or guarantee the published observations. To use them unchanged, return to the exact CSV steps.

Before generating or reusing data

Keep total nuclear electricity generation in TWh, not nuclear’s share of the electricity mix or installed capacity in GW. These six selected countries do not form a worldwide ranking. Review source references, countries, dates, units, missing values, and reuse rights before applying data. Keep Ember Yearly Electricity Data via Our World in Data as the source; do not invent missing observations. See the method and sources above.

Generate Dataset may use AI credits and does not guarantee accurate or complete data. Generation and application remain voluntary. In an existing project, copy the three fields into Data / Edit data → AI Assistant → Generate Dataset; this link does not prefill an existing chart.