Latest release – v2026_06 New
Global Macro Database
The world's most comprehensive macroeconomic dataset.
46 variables · 239 countries · 160 sources · 1086–2025 (+ forecasts to 2030)
The 2026_06 update adds 39 new historical and country-level sources, bringing the database to 160 sources, extends automated error monitoring, resolves dozens of data-quality issues, and improves the Stata, R, and Python packages. Check the full release log here.
Trusted by 8,000+ researchers, policy makers, and practitioners. Free for academic & non-profit research.
The one-stop shop for cross-country macroeconomic data
Macroeconomic statistics are essential for researchers and practitioners. Yet the underlying data are scattered across hundreds of sources, with inconsistent units, country and time coverage, and variable definitions. The result: users spend weeks understanding, cleaning, harmonizing, and combining data before they can do any analysis.
The Global Macro Database (GMD) was built to remove that bottleneck. Our key innovation is to integrate a total of 160 data sources, both historical and current, updated quarterly through a large, systematic pipeline that divides up the process of downloading, cleaning, and combining data. For more on the project's motivation and methodology, see our paper (Müller, Xu, Lehbib, and Chen, 2025) and the technical documentation.
Free for research
The Global Macro Database (GMD) is free for academic and non-profit research. If you use it, please cite the dataset (see Citation below).
The GMD is not for commercial use, or for use within for-profit organizations (including banks, asset managers, consultancies, fintechs, and the corporate research, strategy, treasury, and risk functions of any company). If your intended use falls outside academic or non-profit research, or if you are unsure, please treat your use as commercial and get in touch before downloading.
Citing the GMD
If you use the GMD, it must be cited as follows.
@techreport{GMD2025,
title = {The Global Macro Database: A New International Macroeconomic Dataset},
author = {M{\"u}ller, Karsten and Xu, Chenzi and Lehbib, Mohamed and Chen, Ziliang},
institution = {National Bureau of Economic Research},
type = {Working Paper},
series = {Working Paper Series},
number = {33714},
year = {2025},
month = {April},
doi = {10.3386/w33714},
URL = {http://www.nber.org/papers/w33714}
}