Weekly updated price data for the Syrian Arab Republic, compiled by the World Bank. The dataset combines direct price measurement with machine learning estimates for missing data, using information from the World Food Program, FAO, and national offices. It includes three sub-series: food prices for staple items, fuel prices, and unofficial exchange rates.
Use Cases
- Modeling food price inflation based on staple food price data.
- Analyzing energy market trends based on reported fuel prices.
- Forecasting unofficial exchange rate fluctuations based on real-time estimates.
- Assessing food security risks based on the price trends of key commodities.
Strengths
- Updated weekly, with a last update timestamp of 2026 03 15.
- Combines direct measurement with machine learning to estimate missing price data.
- Aggregates data from multiple authoritative sources including 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.
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 national offices.
- Time Range
- Historical and current estimates, updated weekly.
- Freshness
- Weekly updates.
- Geography
- Syrian Arab Republic