Data

Share of species that are traded

About this data

Source
Scheffers et al. (2019)processed by Our World in Data
Last updated
March 23, 2021
Date range
2019–2019
Unit
%

Sources and processing

Scheffers et al. – Global wildlife trade across the tree of life

Scheffers et al. (2019) quantify the number and share of vertebrate species that are traded, either locally, nationally or internationally.

This data is also available, broken down by the share of traded species that are used as pets or as products (such as for meat, medicines, body parts, trophy hunts etc.). Note these shares may sum to more than 100% since many species are traded as both pets and for their products.

Retrieved on
March 23, 2021
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.
Scheffers, B. R., Oliveira, B. F., Lamb, I., and Edwards, D. P. (2019). Global wildlife trade across the tree of life. Science, 366(6461), 71-76.

Scheffers et al. (2019) quantify the number and share of vertebrate species that are traded, either locally, nationally or internationally.

This data is also available, broken down by the share of traded species that are used as pets or as products (such as for meat, medicines, body parts, trophy hunts etc.). Note these shares may sum to more than 100% since many species are traded as both pets and for their products.

Retrieved on
March 23, 2021
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.
Scheffers, B. R., Oliveira, B. F., Lamb, I., and Edwards, D. P. (2019). Global wildlife trade across the tree of life. Science, 366(6461), 71-76.

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: Share of species that are traded”. Our World in Data (2026). Data adapted from Scheffers et al.. Retrieved from https://archive.ourworldindata.org/20260518-083815/grapher/share-species-traded.html [online resource] (archived on May 18, 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:

Scheffers et al. (2019) – processed by Our World in Data

Full citation

Scheffers et al. (2019) – processed by Our World in Data. “Share of species that are traded” [dataset]. Scheffers et al., “Global wildlife trade across the tree of life” [original data]. Retrieved May 18, 2026 from https://archive.ourworldindata.org/20260518-083815/grapher/share-species-traded.html (archived on May 18, 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/share-species-traded.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/share-species-traded.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/share-species-traded.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/share-species-traded.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/share-species-traded.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

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

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