Data

Aviation's share of global CO₂ emissions

About this data

Source
Calculated by Our World in Data based on Lee et al. (2020); Bergero et al. (2023); and the Global Carbon Project.processed by Our World in Data
Last updated
March 21, 2024
Date range
1940–2021
Unit
%

Sources and processing

Calculated by Our World in Data based on Lee et al. (2020); Bergero et al. (2023); and the Global Carbon Project. – aviation_emissions_lee_bergero_gcp

Retrieved on
March 21, 2024
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.
Lee et al. (2021) The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018; Bergero et al. (2023). Pathways to net-zero emissions from aviation; Global Carbon Project (2023).
Retrieved on
March 21, 2024
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.
Lee et al. (2021) The contribution of global aviation to anthropogenic climate forcing for 2000 to 2018; Bergero et al. (2023). Pathways to net-zero emissions from aviation; Global Carbon Project (2023).

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

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: Aviation's share of global CO₂ emissions”. Our World in Data (2026). Data adapted from Calculated by Our World in Data based on Lee et al. (2020); Bergero et al. (2023); and the Global Carbon Project.. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/aviation-share-co2.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:

Calculated by Our World in Data based on Lee et al. (2020); Bergero et al. (2023); and the Global Carbon Project. – processed by Our World in Data

Full citation

Calculated by Our World in Data based on Lee et al. (2020); Bergero et al. (2023); and the Global Carbon Project. – processed by Our World in Data. “Aviation's share of global CO₂ emissions” [dataset]. Calculated by Our World in Data based on Lee et al. (2020); Bergero et al. (2023); and the Global Carbon Project., “aviation_emissions_lee_bergero_gcp” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/aviation-share-co2.html (archived on March 4, 2026).

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.

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/aviation-share-co2.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/aviation-share-co2.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/aviation-share-co2.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/aviation-share-co2.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/aviation-share-co2.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/aviation-share-co2.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/aviation-share-co2.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/aviation-share-co2.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear