Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The data is estimated using a combination of direct price measurement and machine learning, sourced from the World Food Program, FAO, and national offices.
Use Cases
- Modeling food price inflation based on weekly staple food price data.
- Analyzing fuel price volatility based on real-time energy price estimates.
- Tracking currency fluctuations based on official and unofficial exchange rate data.
- Assessing market conditions for policy or investment based on combined price series.
Strengths
- Updated weekly, with the last update recorded on 2026-03-15.
- Combines direct measurement with machine learning estimation to address missing data.
- Integrates data from authoritative sources including WFP, FAO, and national statistical offices.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic or source bias inherent to the compilation methodology.
Provenance
- Source
- World Bank Development Economics Data Group (DECDG).
- Collection Method
- Compiled from WFP, FAO, and national offices, using direct measurement and machine learning estimation.
- Time Range
- Historical and current estimates, updated weekly.
- Freshness
- Weekly updates.
- Geography
- Indonesia.