Our complete Energy dataset is a collection of key metrics maintained by Our World in Data. It is updated regularly and includes data on energy consumption (primary energy, per capita, and growth rates), energy mix, electricity mix and other relevant metrics.

The CSV and XLSX files follow a format of 1 row per location and year. The JSON version is split by country, with an array of yearly records.

We will continue to publish updated data on energy as it becomes available. Most metrics are published on an annual basis.

A full codebook is made available, with a description and source for each indicator in the dataset. This codebook is also included as an additional sheet in the XLSX file.

The dataset is built upon a number of datasets and processing steps:

• Statistical review of world energy (Energy Institute, EI):
  • Source data
  • Ingestion code
  • Basic processing code
  • Further processing code
• International energy data (U.S. Energy Information Administration, EIA):
  • Source data
  • Ingestion code
  • Basic processing code
  • Further processing code
• Energy from fossil fuels (The Shift Dataportal):
  • Source data
  • Ingestion code
  • Basic processing code
  • Further processing code
• Yearly Electricity Data (Ember):
  • Source data
  • Basic processing code
  • Further processing code
• Energy mix (Our World in Data based on EI's Statistical review of world energy):
  • Processing code
• Fossil fuel production (Our World in Data based on EI's Statistical review of world energy & The Shift Dataportal's Energy from fossil fuels):
  • Processing code
• Primary energy consumption (Our World in Data based on EI's Statistical review of world energy & EIA's International energy data):
  • Processing code
• Electricity mix (Our World in Data based on EI's Statistical Review & Ember's Yearly Electricity Data):
  • Processing code
• Energy dataset (Our World in Data based on all sources above):
  • Processing code
  • Exporting code
  • Uploading code

Additionally, to construct region aggregates and indicators per capita and per GDP, we use the following datasets and processing steps:

• Regions (Our World in Data).
  • Processing code
• Population (Our World in Data based on a number of different sources).
  • Processing code
• Income groups (World Bank).
  • Processing code
• GDP (University of Groningen GGDC's Maddison Project Database, Bolt and van Zanden, 2024).
  • Source data
  • Ingestion code
  • Basic processing code
  • Processing code

• 2026年04月27日:
  • Update Ember's yearly electricity data, after they updated their Global electricity data.
• 2026年01月26日:
  • Update Ember's yearly electricity data, after they updated their European electricity data.
  • Fixed a few issues in aggregate regions related to how Ember's data is combined with the Energy Institute's Statistical Review of World Energy.
• 2026年01月09日:
  • Updated Ember's yearly electricity data.
  • Fixed a few small issues (related to "Other *" regions coming from the Energy Institute's Statistical Review of World Energy).
• 2025年11月11日:
  • Moved dataset to different URL.
  • Various improvements in the codebook format.
• 2025年07月17日:
  • Updated the Energy Institute Statistical Review of World Energy.
  • Updated EIA's International energy data.
• 2025年05月30日:
  • Updated Ember's yearly electricity data, which includes data for 2024.
• 2024年09月05日:
  • Added per capita electricity demand, from Ember's yearly electricity data.
• 2024年08月30日:
  • Fixed coal electricity generation for Switzerland, which was missing in the original data, and should be zero instead.
• 2024年06月20日:
  • Updated the Energy Institute Statistical Review of World Energy.
  • Fixed issues on electricity data for aggregate regions.
• 2024年05月08日:
  • Updated Ember's yearly electricity data, which includes data for 2023.
  • Updated GDP data, now coming from Maddison Project Database 2023.
• 2024年01月24日:
  • Improved codebook, to clarify whether indicators refer to electricity generation or primary energy consumption.
  • Improved the calculation of the share of electricity in primary energy. Previously, electricity generation was calculated as a share of input-equivalent primary energy consumption. Now it is calculated as a share of direct primary energy consumption.
• 2023年12月12日:
  • Updated Ember's yearly electricity data and EIA's International energy data.
  • Enhanced codebook (improved descriptions, added units, updated sources).
  • Fixed various minor issues.
• 2023年07月07日:
  • Replaced BP's data by the new Energy Institute Statistical Review of World Energy 2023.
  • Updated Ember's yearly electricity data.
  • Updated all datasets accordingly.
• 2023年06月01日:
  • Updated Ember's yearly electricity data.
  • Renamed countries 'East Timor' and 'Faroe Islands', and added 'Middle East (Ember)'.
  • Population and per capita indicators are now calculated using an updated version of our population dataset.
• 2023年03月01日:
  • Updated Ember's yearly electricity data and fixed some minor issues.
• 2022年12月30日:
  • Fixed some minor issues with BP's dataset. Regions like "Other North America (BP)" have been removed from the data, since, in the original Statistical Review of World Energy, these regions represented different sets of countries for different indicators.
• 2022年12月16日:
  • The column electricity_share_energy (electricity as a share of primary energy) was added to the dataset.
  • Fixed some minor inconsistencies in electricity data between Ember and BP, by prioritizing data from Ember.
  • Updated Ember's yearly electricity data.
• 2022年08月09日:
  • All inconsistencies due to different definitions of regions among different datasets (especially Europe) have been fixed.
    • Now all regions follow Our World in Data's definitions.
    • We also include data for regions as defined in the original datasets; for example, Europe (BP) corresponds to Europe as defined by BP.
  • All data processing now occurs outside this repository; the code has been migrated to be part of the etl repository.
  • Indicator fossil_cons_per_capita has been renamed fossil_elec_per_capita for consistency, since it corresponds to electricity generation.
  • The codebook has been updated following these changes.
• 2022年04月08日:
  • Electricity data from Ember was updated (using the Global Electricity Review 2022).
  • Data on greenhouse-gas emissions in electricity generation was added (greenhouse_gas_emissions).
  • Data on emissions intensity is now provided for most countries in the world.
• 2022年03月25日:
  • Data on net electricity imports and electricity demand was added.
  • BP data was updated (using the Statistical Review of World Energy 2021).
  • Maddison data on GDP was updated (using the Maddison Project Database 2020).
  • EIA data on primary energy consumption was included in the dataset.
  • Some issues in the dataset were corrected (for example some missing data in production by fossil fuels).
• 2022年02月14日:
  • Some issues were corrected in the electricity data, and the energy dataset was updated accordingly.
  • The json and xlsx dataset files were removed from GitHub in favor of an external storage service, to keep this repository at a reasonable size.
  • The carbon_intensity_elec column was added back into the energy dataset.
• 2022年02月03日:
  • We updated the Ember global electricity data, combined with the European Electricity Review from Ember.
  • The carbon_intensity_elec column was removed from the energy dataset (since no updated data was available).
  • Columns for electricity from other renewable sources excluding bioenergy were added (namely other_renewables_elec_per_capita_exc_biofuel, and other_renewables_share_elec_exc_biofuel).
  • Certain countries and regions have been removed from the dataset, because we identified significant inconsistencies in the original data.
• 2021年03月31日:
  • We updated 2020 electricity mix data.
• 2020年09月09日:
  • The first version of this dataset was made available.

• We standardize names of countries and regions. Since the names of countries and regions are different in different data sources, we standardize all names in order to minimize data loss during data merges.
• We create aggregate data for regions (e.g. Africa, Europe, etc.). Since regions are defined differently by our sources, we create our own aggregates following Our World in Data region definitions.
  • We also include data for regions as defined in the original datasets; for example, Europe (EI) corresponds to Europe as defined by the Energy Institute.
• We recalculate primary energy in terawatt-hours. The primary data sources on energy—the Energy Institute Statistical review of world energy, for example—typically report consumption in terms of exajoules. We have recalculated these figures as terawatt-hours using a conversion factor of 277.8.
  • Primary energy for renewable sources is reported using the 'substitution method'.
• We calculate per capita figures. All of our per capita figures are calculated from our population metric, which is included in the complete dataset.
  • We also calculate energy consumption per gdp, and include the corresponding gdp metric used in the calculation as part of the dataset.
• We remove inconsistent data. Certain data points have been removed because their original data presented anomalies. They may be included again in further data releases if the anomalies are amended.

All visualizations, data, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

The data produced by third parties and made available by Our World in Data is subject to the license terms from the original third-party authors. We will always indicate the original source of the data in our database, and you should always check the license of any such third-party data before use.

This data has been collected, aggregated, and documented by Pablo Rosado, Hannah Ritchie, Edouard Mathieu, and Max Roser.

The mission of Our World in Data is to make data and research on the world's largest problems understandable and accessible. Read more about our mission.

If you are using this dataset, please cite both Our World in Data and the underlying data source(s).

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