Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It combines direct price measurements with machine learning estimates for missing data, drawing on sources like the World Food Program and UN-FAO. The dataset includes three sub-series covering staple food prices, fuel prices, and exchange rates, including unofficial estimates.
Use Cases
- Model food price inflation trends based on weekly staple food price data.
- Analyze energy market volatility based on real-time fuel price estimates.
- Track currency fluctuations based on official and unofficial exchange rate data.
- Assess food security risks by monitoring price changes for country-specific staples.
Strengths
- Updated weekly, with last update recorded on 2026-03-15.
- Combines direct measurement with machine learning estimation to address data gaps.
- Sourced from authoritative bodies like the World Bank, WFP, and FAO.
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 and source bias inherent to the compilation methodology.
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 select National Statistical Offices.
- Time Range
- Historical and current estimates, updated weekly.
- Freshness
- Updated weekly.
- Geography
- Bangladesh