Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It combines direct price measurement with Machine Learning estimation for missing data, using sources like the World Food Program and UN-FAO. The data includes three sub-series: food prices for staple items, fuel prices, and official and unofficial exchange rates.
Use Cases
- Modeling food price inflation based on weekly staple food price data.
- Analyzing fuel price volatility based on the Real Time Energy Prices sub-series.
- Tracking currency fluctuations based on official and unofficial exchange rate estimates.
- Assessing market conditions for humanitarian response planning based on real-time price trends.
Strengths
- Updated weekly, with last update recorded as 2026-03-15 18:38:21.833672.
- Combines direct measurement with ML estimation to address missing data.
- Aggregates price information from authoritative sources like 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.
Provenance
- Source
- World Bank Development Economics Data Group (DECDG).
- Collection Method
- Combination of direct price measurement and Machine Learning estimation, using data from WFP, FAO, and select National Statistical Offices.
- Time Range
- Historical and current estimates, updated weekly.
- Freshness
- Weekly updates.
- Geography
- Myanmar.