Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. The dataset includes three sub-series for food, energy, and exchange rates, with historical and current estimates based on price information from the World Food Program, FAO, and national offices. It was last updated on 2026-03 15 17:56:01.
Use Cases
- Modeling food price inflation based on staple food price data.
- Analyzing fuel price volatility based on real-time energy price series.
- Tracking unofficial exchange rate fluctuations based on the exchange rate sub-series.
- Forecasting market trends using machine learning-estimated missing price data.
Strengths
- Updated weekly with a live compilation process.
- Integrates direct measurement and machine learning estimation for missing data.
- Sourced from authoritative organizations like the World Bank, WFP, and FAO.
- Includes three distinct sub-series covering food, energy, and exchange rates.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- World Bank Development Economics Data Group (DECDG).
- Collection Method
- Compiled using a combination of direct price measurement and machine learning estimation, with data from WFP, FAO, and national statistical offices.
- Time Range
- Historical and current estimates; temporal coverage is not explicitly specified.
- Freshness
- Updated weekly; last updated 2026-03-15 17:56:01.223107.
- Geography
- Burundi.