global-macro-data 0.3.0

Global Macro Database by Karsten Müller, Chenzi Xu, Mohamed Lehbib and Ziliang Chen (2025)

The Global Macro Database (Python Package)

Link to paper 📄

This repository complements 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 until 2024, including projections through the year 2030.

Features

• Unparalleled Coverage: Combines data from 32 contemporary sources (e.g., IMF, World Bank, OECD) with 78 historical datasets.
• Extensive Variables: GDP, inflation, government finance, trade, employment, interest rates, and more.
• Harmonized Data: Resolves inconsistencies and splices all available data together.
• Scheduled Updates: Regular releases ensure data reliability.
• Full Transparency: All code is open source and available in this repository.
• Accessible Formats: Provided in .dta, .csv and as Stata /Python/R package.

Data access

Download via website

Python package:

pip install global_macro_data

How to use (examples)

from global_macro_data import gmd

# Get preview data (Singapore 2000-2020)
df = gmd()

# Get data from latest available version
df = gmd(show_preview=False)

# Get data from a specific version
df = gmd(version="2025_01")

# Get data for a specific country
df = gmd(country="USA")

# Get data for multiple countries
df = gmd(country=["USA", "CHN", "DEU"])

# Get specific variables
df = gmd(variables=["rGDP", "infl", "unemp"])

# Combine parameters
df = gmd(version="2025_01", country=["USA", "CHN"], variables=["rGDP", "unemp", "CPI"])

Parameters

• version (str): Dataset version in format 'YYYY_MM' (e.g., '2025_01'). If None, the latest dataset is used.
• country (str or list): ISO3 country code(s) (e.g., "SGP" or ["MRT", "SGP"]). If None, returns all countries.
• variables (list): List of variable codes to include (e.g., ["rGDP", "unemp"]). If None, all variables are included.
• show_preview (bool): If True and no other parameters are provided, shows a preview.

Release schedule

Release Date	Details
2025-01-30	Initial release: v2025-01
2025-04-01	v2025-04
2025-07-01	v2025-09
2025-10-01	v2025-12
2026-01-01	v2026-03

Citation

To cite this dataset, please use the following reference:

@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.