Our World
in Data
Oxford Martin School logoUniversity of Oxford logoGlobal Change Data Lab logo
Data

Electricity generation from renewables per person

Ember
See all data and research on:
Energy

What you should know about this indicator

Per capita figures are calculated by dividing total values by the population of the country or region. Population data is constructed by Our World in Data, based on various sources.

Electricity generation from renewables per person
Ember
Measured in per person.
Source
Ember (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024) – with major processing by Our World in Data
Last updated
January 26, 2026
Next expected update
January 2027
Date range
1965–2025
Unit
kilowatt-hours

Sources and processing

This data is based on the following sources

Ember – Yearly Electricity Data Europe

This dataset contains yearly electricity generation, capacity, emissions, imports and demand data for European countries.

You can find more about Ember's methodology in this document.

Retrieved on
January 26, 2026
Retrieved from
https://ember-energy.org/data/yearly-electricity-data/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Ember - Yearly Electricity Data Europe (2026).
Most of the data is taken from the European Commission's Eurostat annual data.

This dataset contains yearly electricity generation, capacity, emissions, imports and demand data for European countries.

You can find more about Ember's methodology in this document.

Retrieved on
January 26, 2026
Retrieved from
https://ember-energy.org/data/yearly-electricity-data/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Ember - Yearly Electricity Data Europe (2026).
Most of the data is taken from the European Commission's Eurostat annual data.

Ember – Yearly Electricity Data

This dataset contains yearly electricity generation, capacity, emissions, import and demand data for over 200 geographies.

You can find more about Ember's methodology in this document.

Retrieved on
January 9, 2026
Retrieved from
https://ember-energy.org/data/yearly-electricity-data/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Ember - Yearly Electricity Data (2026).
The data is collected from multi-country datasets (EIA, Eurostat, Energy Institute, UN) as well as national sources (e.g China data from the National Bureau of Statistics).

This dataset contains yearly electricity generation, capacity, emissions, import and demand data for over 200 geographies.

You can find more about Ember's methodology in this document.

Retrieved on
January 9, 2026
Retrieved from
https://ember-energy.org/data/yearly-electricity-data/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Ember - Yearly Electricity Data (2026).
The data is collected from multi-country datasets (EIA, Eurostat, Energy Institute, UN) as well as national sources (e.g China data from the National Bureau of Statistics).

Energy Institute – Statistical Review of World Energy

The Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year.

Retrieved on
June 27, 2025
Retrieved from
https://www.energyinst.org/statistical-review/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Energy Institute - Statistical Review of World Energy (2025).

The Energy Institute Statistical Review of World Energy analyses data on world energy markets from the prior year.

Retrieved on
June 27, 2025
Retrieved from
https://www.energyinst.org/statistical-review/
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Energy Institute - Statistical Review of World Energy (2025).

Various sources – Population

Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.

You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources

Retrieved on
July 11, 2024
Retrieved from
https://ourworldindata.org/population-sources
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources

Our World in Data builds and maintains a long-run dataset on population by country, region, and for the world, based on various sources.

You can find more information on these sources and how our time series is constructed on this page: https://ourworldindata.org/population-sources

Retrieved on
July 11, 2024
Retrieved from
https://ourworldindata.org/population-sources
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
The long-run data on population is based on various sources, described on this page: https://ourworldindata.org/population-sources

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline
Notes on our processing step for this indicator
  • Electricity data from 2000 onwards (and from 1990 onwards for European countries, including Turkey) comes from Ember. Earlier data comes from the Energy Institute.

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, 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.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Electricity generation from renewables per person”, part of the following publication: Hannah Ritchie, Pablo Rosado, and Max Roser (2023) - “Energy”. Data adapted from Ember, Energy Institute, Various sources. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/renewable-electricity-per-capita.html [online resource] (archived on March 4, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Ember (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024) – with major processing by Our World in Data

Full citation

Ember (2026); Energy Institute - Statistical Review of World Energy (2025); Population based on various sources (2024) – with major processing by Our World in Data. “Electricity generation from renewables per person – Ember” [dataset]. Ember, “Yearly Electricity Data Europe”; Ember, “Yearly Electricity Data”; Energy Institute, “Statistical Review of World Energy”; Various sources, “Population” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/renewable-electricity-per-capita.html (archived on March 4, 2026).

Download

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Download full data

Includes all entities and time points

Download displayed data

Includes only the entities and time points currently visible in the chart

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/renewable-electricity-per-capita.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/renewable-electricity-per-capita.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/renewable-electricity-per-capita.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/renewable-electricity-per-capita.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/renewable-electricity-per-capita.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/renewable-electricity-per-capita.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/renewable-electricity-per-capita.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/renewable-electricity-per-capita.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear