Data

Ozone-depleting substance emissions

About this data

Source
Hegglin et al. (2014)processed by Our World in Data
Last updated
January 1, 2018
Date range
1961–2014
Unit
megatonnes CFC11-equivalent

Sources and processing

Hegglin et al. – Twenty questions and answers about the ozone layer: 2014 update

Figures represent emissions of ozone-depleting substances, with substances weighted by their potential to destroy ozone (their ozone-depleting potential). This gives a total value of emissions normalised to their CFC11-equivalents.

Total emissions are inclusive of naturally-occurring and man-made emissions.

Data is based on figure Q0-1 in "Twenty questions and answers about the ozone layer: 2014 update", published as the 2014 edition of the Scientific Assessment Panel of the Montreal Protocol.

Data was extracted from the static figure Q0-1 using the extraction tool WebPlotDigitizer (https://apps.automeris.io/wpd/).

Retrieved on
January 1, 2018
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.
Hegglin, M. I., Fahey, D. W., McFarland, M., Montzka, S. A., and Nash, E. R. (2014). Twenty questions and answers about the ozone layer: 2014 update. World Meteorological Organization, UNEP, NOAA, NASA, and European Commission.

Figures represent emissions of ozone-depleting substances, with substances weighted by their potential to destroy ozone (their ozone-depleting potential). This gives a total value of emissions normalised to their CFC11-equivalents.

Total emissions are inclusive of naturally-occurring and man-made emissions.

Data is based on figure Q0-1 in "Twenty questions and answers about the ozone layer: 2014 update", published as the 2014 edition of the Scientific Assessment Panel of the Montreal Protocol.

Data was extracted from the static figure Q0-1 using the extraction tool WebPlotDigitizer (https://apps.automeris.io/wpd/).

Retrieved on
January 1, 2018
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.
Hegglin, M. I., Fahey, D. W., McFarland, M., Montzka, S. A., and Nash, E. R. (2014). Twenty questions and answers about the ozone layer: 2014 update. World Meteorological Organization, UNEP, NOAA, NASA, and European Commission.

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: Ozone-depleting substance emissions”. Our World in Data (2026). Data adapted from Hegglin et al.. Retrieved from https://archive.ourworldindata.org/20260511-092124/grapher/ozone-depleting-substance-emissions.html [online resource] (archived on May 11, 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:

Hegglin et al. (2014) – processed by Our World in Data

Full citation

Hegglin et al. (2014) – processed by Our World in Data. “Ozone-depleting substance emissions” [dataset]. Hegglin et al., “Twenty questions and answers about the ozone layer: 2014 update” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260511-092124/grapher/ozone-depleting-substance-emissions.html (archived on May 11, 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/ozone-depleting-substance-emissions.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/ozone-depleting-substance-emissions.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/ozone-depleting-substance-emissions.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/ozone-depleting-substance-emissions.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/ozone-depleting-substance-emissions.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

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

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