Database Updated – v2025_03 New

Global Macro Database

Now Available for Python & R

Our latest release includes updated 2024 annual values and improved access via our Python, R, and Stata packages.

Three historical sources have been added for Argentina, Ireland, and Taiwan

Learn More

46 Variables

GDP, inflation, government finance, trade, unemployment, and more.

243 Countries

Comprehensive coverage across the globe from historical to modern times.

113 Sources New

Includes 32 contemporary sources (e.g., IMF, World Bank, OECD) and 81 historical datasets.

1086 to 2024

Data spanning nearly a millennium, from 1086 to projections through 2030.

About the Project

This repository complements our paper, Müller, Xu, Lehbib, and Chen (2025), which introduces a panel dataset of 46 macroeconomic variables across 243 countries from historical records beginning in the year 1086 to projections through the year 2030.

Features

Unparalleled Coverage: Combines data from 32 contemporary sources (e.g., IMF, World Bank, OECD) with 81 historical datasets for unparalleled coverage.
Extensive Variables: GDP, inflation, government finance, trade, unemployment, interest rates, and more.
Harmonized Data: Resolves inconsistencies and splices all available data together.
Scheduled Updates: Regular releases ensure up-to-date information.
Full Transparency: All code is open-source and available on our GitHub repository.
Accessible Formats: Provided in .dta, .csv, and .xlsx, or via our Python, R, and Stata packages.

Download Data

Citation

@techreport{mueller2025global, 
    title = {The Global Macro Database: A New International Macroeconomic Dataset}, 
    author = {Müller, Karsten and Xu, Chenzi and Lehbib, Mohamed and Chen, Ziliang}, 
    year = {2025}, 
    type = {Working Paper}
}

Acknowledgments

The development of the Global Macro Database would not have been possible without the generous funding provided by the Singapore Ministry of Education (MOE) through the PYP grants (WBS A-0003319-01-00 and A-0003319-02-00), a Tier 1 grant (A-8001749-00-00), and the NUS Risk Management Institute (A-8002360-00-00). This financial support laid the foundation for the successful completion of this extensive project.

License

This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). This means that the dataset is freely available for research and educational purposes but may not be used for commercial purposes.

Under this license:

Users are free to share, modify, and adapt the data for non-commercial purposes.
Proper attribution to the Global Macro Database is required when using the data.
Any derivative works must be shared under the same license.
Commercial entities interested in using the dataset must obtain explicit permission.

For the full terms of the license, please visit the official Creative Commons website.

To comply with the license's attribution requirement, the dataset must be cited as outlined above whenever it is used.