Productivity: output per hour workedIn constant international-$
- Description
Productivity is calculated as GDP divided by the total number of hours worked in the economy. This data is adjusted for inflation and differences in living costs between countries.
- Data source
- Feenstra et al. – Penn World Table (2025) – with major processing by Our World in Data
- Unit
- international-$ in 2021 prices per hour
- Date range
- 1950-2023
- Last updated
- 2025-10-09
- Next expected update
- 2027-04-12
- Managed by
- Pablo Arriagada
- This data is adjusted for inflation and differences in living costs between countries.
- This data is expressed in international-$ at 2021 prices, using a multiple benchmark approach that incorporates PPP estimates from all available benchmark years.
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Frequently asked questions
What are international-$ and why are they used to measure incomes?
What are international-$ and why are they used to measure incomes?
Much of the economic data we use to understand the world, such as the incomes people receive or the goods and services firms produce and people buy, is recorded in the local currencies of each country. That means the numbers start out in rupees, US dollars, yuan, and many others, and without adjusting for inflation over time. This is known as being in “current prices” or “nominal” terms.
Before these figures can be meaningfully compared, they need to be converted into common units. International dollars (int.-$) are a hypothetical currency that is used for this.
The idea is simple: one international dollar should buy the same quantity and quality of goods and services, no matter where or when it is spent. To achieve this, international dollars adjust for two things. First, they account for inflation within each country, so that values from different years can be compared (showing “constant” prices). Second, they account for differences in living costs across countries. This second adjustment uses purchasing power parity (PPP) rates, which reflect how much local currency is needed to buy what one US dollar would buy in the United States.
The United States is the benchmark, so that one 2021 int.-$ is defined as the value of goods and services that one US dollar would buy in the US in 2021. One 2011 int.-$ is defined in the same way, but for prices in 2011.
You can read more in our article, What are international dollars?
How did Our World in Data process this data?
How did Our World in Data process this 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.
Notes on our processing step for this indicator
We calculated productivity by dividing GDP (output side, multiple price benchmarks) by the number of people in work (employees and self-employed) and the average hours they work.
We excluded values considered outliers in the original dataset (i_outlier = "Outlier"), due to implausible relative prices (PPPs divided by exchange rates).
We replaced GDP values for Bermuda with different estimates (output side, single price benchmark) due to the unusual changes on prices in this country.
Data sources
Feenstra et al. – Penn World Table
Feenstra et al. – Penn World Table
PWT version 11.0 is a database with information on relative levels of income, output, input and productivity, covering 185 countries between 1950 and 2023.
Feenstra, Robert C., Robert Inklaar and Marcel P. Timmer (2015), "The Next Generation of the Penn World Table" American Economic Review, 105(10), 3150-3182, available for download at www.ggdc.net/pwtHow to cite
How to cite this page
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: Productivity: output per hour worked”, part of the following publication: Max Roser, Bertha Rohenkohl, Pablo Arriagada, Joe Hasell, Hannah Ritchie, and Esteban Ortiz-Ospina (2023) - “Economic Growth”. Data adapted from Feenstra et al.. Retrieved from https://archive.ourworldindata.org/20261102-112946/grapher/labor-productivity-per-hour-pennworldtable.html [online resource] (archived on November 2, 2026).How to cite this data
How to cite this data
If you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:
Feenstra et al. – Penn World Table (2025) – with major processing by Our World in DataFull citation
Feenstra et al. – Penn World Table (2025) – with major processing by Our World in Data. “Productivity: output per hour worked – Penn World Table – In constant international-$” [dataset]. Feenstra et al., “Penn World Table 11.0” [original data]. Retrieved November 2, 2026 from https://archive.ourworldindata.org/20261102-112946/grapher/labor-productivity-per-hour-pennworldtable.html (archived on November 2, 2026).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. 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.
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