Mozambique's Real Time Prices dataset is 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 updated weekly, with the last recorded update on 2026-03-15.
Use Cases
- Monitor weekly price fluctuations for staple foods based on the Real Time Food Prices (RTFP) sub-series.
- Analyze fuel price trends and volatility based on the Real Time Energy Prices (RTEP) sub-series.
- Model unofficial exchange rate impacts on local markets based on the Real Time Exchange Rates (RTFX) sub-series.
- Build predictive models for food security using the machine learning-estimated price data mentioned in the description.
Strengths
- Data is updated weekly, providing a live feed.
- Compiled by the World Bank Development Economics Data Group, an authoritative source.
- Integrates data from multiple sources including WFP, FAO, and National Statistical Offices.
- Uses machine learning to estimate missing price data, potentially improving coverage.
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 contributing organizations.
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, last updated 2026-03-15.
- Geography
- Mozambique.