The Penn World Table (PWT) provides relative levels of income, output, input and productivity, with the most recent version (PWT 10.01) covering 183 countries for the period 1950-2019. Its expenditure entries are denominated in a common set of prices in a common currency so that real quantity comparisons can be made, both between countries and over time. It also provides information about relative prices within and between countries, as well as demographic data and capital stock estimates.
Since the regionalization of the United Nations International Comparison Programme (ICP) beginning with the 1980 benchmark, Robert Summers and Alan Heston at the Center for International Comparisons of Production, Income and Prices at the University of Pennsylvania have been using ICP benchmark comparisons as a basis for estimating PPPs (purchasing power parities) for non-benchmark countries and extrapolations backward and forward in time. As of PWT 8.0, the PWT are hosted at the Groningen Growth and Development Centre within the Economics Department of the University of Groningen
(EZproxy users, please visit here.)
In Data Planet Statistical Datasets, the many indicators included in the Penn World Table datasets can be viewed as stand-alone trends, charts, or maps. The listing of indicators can be viewed by opening the Penn World Tables link under Center for International Comparison of Production, Income and Prices in the Browse by Source section of the indicator tree. For example, the chart below shows change over time in average annual hours worked by engaged worked in Spain and Portugal:
Note that you can learn more about the indicator, dataset, and source by viewing the statistical abstract that appears below the chart, as below. These summaries can be exported with the graph by clicking on the Export link in the menu bar above the chart.
The Penn World Tables are intended to provide a means of comparing nations so be sure to explore the many options available to do so. The chart below shows the trend in output-side real GDP for five South American nations.
Try it yourself with other indicators and nations. Keep in mind that the graphs you create do not necessarily imply causality: the results may suggest a potential relationship between the variables you select, which may be an interesting line of inquiry for your own research.
For more information on using Data Planet Statistical Datasets, see https://data-planet.libguides.com/statisticaldatasets .