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 dataset was last updated on 2026-03-15.
Use Cases
- Monitor food price inflation trends based on the Real Time Food Prices (RTFP) sub-series.
- Analyze fuel price volatility based on the Real Time Energy Prices (RTEP) sub-series.
- Model unofficial exchange rate dynamics based on the Real Time Exchange Rates (RTFX) sub-series.
- Assess market conditions in Yemen using the weekly updated, machine learning-augmented price estimates.
Strengths
- Updated weekly, with the last update recorded on 2026-03-15.
- Compiled by the World Bank Development Economics Data Group, an authoritative source.
- Uses machine learning to estimate missing price data, likely improving coverage.
- Integrates data from multiple 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 collection methodology.
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; dataset is live and updated weekly.
- Freshness
- Updated weekly.
- Geography
- Yemen.