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Data

Revenue from corporate income taxes as a share of GDP

About this data

Source
International Centre for Tax and Development and UNU-WIDER (2019) – processed by Our World in Data
Last updated
September 4, 2019
Date range
1980–2017
Unit
%

Sources and processing

This data is based on the following sources

International Centre for Tax and Development and UNU-WIDER – Government Revenue Dataset

This data comes from the "merged" dataset provided by ICTD, after excluding observations flagged as unreliable. Specifically, we excluded the observations where the ICTD indicated concerns about their quality, accuracy or comparability. Details regarding these flags, as well as the dataset more generally, are available Prichard, W. (2016). Reassessing Tax and Development Research: A New Dataset, New Findings, and Lessons for Research. World Development, 80, 48-60.

The September 2019 release differs from the previous release with the inclusion of new data for 2017. For more details on the Government Revenue Dataset see its update history.

Retrieved on
September 4, 2019
Retrieved from
https://www.wider.unu.edu/project/government-revenue-dataset
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.
International Centre for Tax and Development and UNU-WIDER (2019). Government Revenue Dataset, September 2019.

This data comes from the "merged" dataset provided by ICTD, after excluding observations flagged as unreliable. Specifically, we excluded the observations where the ICTD indicated concerns about their quality, accuracy or comparability. Details regarding these flags, as well as the dataset more generally, are available Prichard, W. (2016). Reassessing Tax and Development Research: A New Dataset, New Findings, and Lessons for Research. World Development, 80, 48-60.

The September 2019 release differs from the previous release with the inclusion of new data for 2017. For more details on the Government Revenue Dataset see its update history.

Retrieved on
September 4, 2019
Retrieved from
https://www.wider.unu.edu/project/government-revenue-dataset
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.
International Centre for Tax and Development and UNU-WIDER (2019). Government Revenue Dataset, September 2019.

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

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: Revenue from corporate income taxes as a share of GDP”. Our World in Data (2026). Data adapted from International Centre for Tax and Development and UNU-WIDER. Retrieved from https://archive.ourworldindata.org/20260512-085513/grapher/revenue-from-corporate-income-taxes-gdp.html [online resource] (archived on May 12, 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:

International Centre for Tax and Development and UNU-WIDER (2019) – processed by Our World in Data

Full citation

International Centre for Tax and Development and UNU-WIDER (2019) – processed by Our World in Data. “Revenue from corporate income taxes as a share of GDP” [dataset]. International Centre for Tax and Development and UNU-WIDER, “Government Revenue Dataset September 2019” [original data]. Retrieved May 18, 2026 from https://archive.ourworldindata.org/20260512-085513/grapher/revenue-from-corporate-income-taxes-gdp.html (archived on May 12, 2026).

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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.

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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/revenue-from-corporate-income-taxes-gdp.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/revenue-from-corporate-income-taxes-gdp.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/revenue-from-corporate-income-taxes-gdp.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/revenue-from-corporate-income-taxes-gdp.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/revenue-from-corporate-income-taxes-gdp.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/revenue-from-corporate-income-taxes-gdp.csv?v=1&csvType=full&useColumnShortNames=false")

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