Data

GDP per capita

In constant 2017 international $ – World Bank
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What you should know about this indicator

  • This GDP per capita indicator provides information on economic growth and income levels from 1990.
  • This data is adjusted for inflation and for differences in the cost of living between countries.
  • This data is expressed in international-$ at 2017 prices.
  • For GDP per capita estimates in the very long run, see the Maddison Project Database's indicator.
Learn more in the FAQs

GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the country plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2017 international dollars.

For the concept and methodology of 2017 PPP, please refer to the International Comparison Program (ICP)’s website.

GDP per capita
In constant 2017 international $ – World Bank
This data is adjusted for inflation and for differences in the cost of living between countries.
Source
World Bank (2023) – with minor processing by Our World in Data
Last updated
May 20, 2024
Next expected update
May 2025
Date range
1990–2022
Unit
international-$ in 2017 prices

Frequently Asked Questions

What are international-$ and why are they used to measure incomes?

Much of the economic data we use to understand the world – for instance on the goods and services bought or produced by households, firms and governments, or the incomes they receive – is initially recorded in terms of the units in which these transactions took place. That means this data starts out being expressed in a variety of local currencies – as so many rupees, US dollars, or yuan, etc. – and without adjusting for inflation over time. This is known as being in ‘current prices’, or in ‘nominal’ terms.

Before these figures can be meaningfully compared, they need to be converted into common units.

International dollars (int.-$) are a hypothetical currency that is used for this. It is the result of adjusting both for inflation within countries over time and for differences in the cost of living between countries.

The goal of international-$ is to provide a unit whose purchasing power is held fixed over time and across countries, such that one int.-$ can buy the same quantity and quality of goods and services no matter where or when it is spent.

The price level in the US is used as the benchmark – or ‘numeraire’ – so that one 2017 int.-$ is defined as the value of goods and services that one US dollar would buy in the US in 2017. Similarly, one 2011 int.-$ is defined as the value of goods and services that one US dollar would buy in the US in 2011.

The year 2017 (2011) here indicates two things, related to the two adjustments mentioned. Firstly, it tells us the base year used for the inflation adjustment within countries. This is the year whose prices are chosen to be the benchmark. If prices are higher than this benchmark year, nominal data will be adjusted downwards. If prices are lower, nominal data will be adjusted upwards. In the base year itself, the nominal and inflation-adjusted figures are the same by definition.

Secondly, 2017 (2011) indicates the year in which the differences in the cost of living between countries was assessed.

Purchasing Power Parity rates

Converting data in local currencies to international-$ means dividing the figures by a set of ‘exchange’ rates, known as Purchasing Power Parity (PPP) rates. Unlike the exchange rates between currencies you would see at the foreign exchange counter, these account for differences in the cost of living between countries.

If you have ever shopped or eaten in a restaurant abroad, you may have noticed a country as being a particularly expensive or particularly cheap place to live. A given amount of your own currency, when exchanged for another country’s currency, may buy you considerably more or less there than it would have done at home.

The goal of PPP rates is to account for these price differences. They express, for each country, the amount of local currency that is needed to buy the same goods and services there as 1 US dollar buys in the US.

You can read more about this in our article What are PPP adjustments and why do we need them?

The ‘rounds’ of the International Comparison Program

The calculation of PPP rates is the task of the International Comparison Program (ICP), which gathers data on the prices of thousands of goods and services in each country in a particular year.

The ICP does not calculate PPP rates every year, but rather conducts its work in ‘rounds’ that are several years apart. The most recent round was conducted in 2017 and the previous round was conducted in 2011.

In converting economic data to international-$, which round of PPPs are used to adjust for cost-of-living differences between countries is, in principle, a separate issue to the base year used to adjust for inflation over time. By convention, however, the same year tends to be chosen for both. When converted to 2017 international-$, nominal local currencies are first adjusted for inflation to local 2017 prices, and are then adjusted to US prices using the PPPs calculated in the ICP’s 2017 round. Likewise, 2011 international-$ adjust for inflation using 2011 local prices, and then use the 2011 PPPs to adjust for cost-of-living differences.

Sources and processing

This data is based on the following sources

The World Development Indicators (WDI) is the World Bank's primary collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available and includes national, regional, and global estimates.

[Text from World Bank data catalog]

Retrieved on
May 29, 2023
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.
World Development Indicators, The World Bank (2023).

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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.

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Citations

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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: GDP per capita”, part of the following publication: Max Roser, Pablo Arriagada, Joe Hasell, Hannah Ritchie and Esteban Ortiz-Ospina (2023) - “Economic Growth”. Data adapted from World Bank. Retrieved from https://ourworldindata.org/grapher/gdp-per-capita-worldbank [online resource]
How to cite this data

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World Bank (2023) – with minor processing by Our World in Data

Full citation

World Bank (2023) – with minor processing by Our World in Data. “GDP per capita – World Bank – In constant 2017 international $” [dataset]. World Bank, “World Bank World Development Indicators” [original data]. Retrieved November 23, 2024 from https://ourworldindata.org/grapher/gdp-per-capita-worldbank