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Peru GDP real-time dataset (1994-2025): Tracking three decades of revisions
Jason Josue Cruz1, Diego Winkelried1, Javier Torres1
1School of Economics and Finance, Universidad del Pacífico, Av. Salaverry 2020, Jesús María, Lima 15072, Peru.
Data in Brief
|June 8, 2026
Summary
This study presents a real-time dataset of Peru's Gross Domestic Product (GDP) growth rates from 1994-2025. The data aids research in GDP revisions, forecasting accuracy, and statistical practices in emerging economies.
Area of Science:
- Economics
- Econometrics
- Data Science
Background:
- Peru's Central Reserve Bank (BCRP) Weekly Reports contain valuable economic data.
- Historical GDP data required significant manual effort for digitization and processing.
- Accessing and utilizing real-time economic data presents challenges for researchers.
Purpose of the Study:
- To introduce a comprehensive, real-time dataset of Peru's Gross Domestic Product (GDP) growth rates.
- To provide a structured resource for analyzing GDP revision patterns and forecasting accuracy.
- To facilitate research on statistical practices in emerging economies.
Main Methods:
- Systematic collection and processing of three decades of BCRP Weekly Reports.
- Digitization using Optical Character Recognition (OCR) and manual verification for 1994-2012 data.
- Automated web-scraping and PDF extraction for post-2013 data.
- Organization of data into raw, input, and output tiers, and in vintage and release formats.
- Development of an open-source Python pipeline for reproducibility.
Main Results:
- A comprehensive real-time dataset of monthly, quarterly, and annual GDP growth rates for Peru (1994-2025).
- Dataset includes aggregate GDP and eight economic sectors, with base-year adjustments and benchmark revision identification.
- Data provided in CSV format with extensive documentation.
- An open-source Python pipeline ensures reproducibility and facilitates future updates.
Conclusions:
- The real-time dataset is a valuable resource for economic research, particularly in GDP revision analysis and forecasting.
- The methodology employed offers a replicable approach for constructing similar datasets in other emerging economies.
- Availability of this data supports improved accuracy in economic modeling and policy evaluation.
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