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

Oil production

Measured in .

Unit
terawatt-hours
Last updated
2025-06-27
Next expected update
2026-06-27

  • Includes crude oil, shale oil, oil sands, condensates (lease condensate or gas condensates that require further refining) and NGLs (natural gas liquids - ethane, LPG and naphtha separated from the production of natural gas). Excludes liquid fuels from other sources such as biofuels and synthetic derivatives of coal and natural gas. This also excludes liquid fuel adjustment factors such as refinery processing gain. Excludes oil shales/kerogen extracted in solid form.

Show moreShow less

    Data sources

    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. 
    Energy Institute - Statistical Review of World Energy (2025).

    The Shift Data Portal – Energy production from fossil fuels

    The data on energy production from fossil fuels provided by The Shift Data Portal is based on the following sources:

    • For the period 1900-1980: Bouda Etemad and Jean Luciani, World Energy Production 1900 - 1985, ISBN 2-600-56007-6, Data digitalized and published with agreement of B. Etemad.
    • For the period 1980-2016: U.S. Energy Information Administration, Historical Statistics for 1980-2016, accessed on 2019-06-05.
    Retrieved on
    December 12, 2023
    Retrieved from
    https://www.theshiftdataportal.org/
    Citation
    This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. 
    The Shift Data Portal - Energy production from fossil fuels (2023).

    Citations

    How should I cite this data in a news article?

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

    Energy Institute - Statistical Review of World Energy (2025); The Shift Data Portal (2019) – with major processing by Our World in Data

    How should I cite this in an academic article or report?

    Energy Institute - Statistical Review of World Energy (2025); The Shift Data Portal (2019) – with major processing by Our World in Data. “Oil production” [dataset]. Energy Institute, “Statistical Review of World Energy”; The Shift Data Portal, “Energy production from fossil fuels” [original data]. Retrieved June 12, 2026 from https://datapage-v2.owid.pages.dev/grapher/oil-production-by-country

    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. 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.

    Related research and writing

    Fossil fuels

    Hannah Ritchie and Pablo Rosado

    Related charts

    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://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.csv?v=1&csvType=full&useColumnShortNames=false
    Metadata URL (JSON format)
    https://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.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://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.csv?v=1&csvType=full&useColumnShortNames=false")
    Python with Pandas
    import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.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://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
    R
    library(jsonlite)

# Fetch the data
df <- read.csv("https://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.metadata.json?v=1&csvType=full&useColumnShortNames=false")
    Stata
    import delimited "https://datapage-v2.owid.pages.dev/grapher/oil-production-by-country.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear