Philippines real-time price data compiled weekly by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation for missing data, using sources including the World Food Program, UN-FAO, and select National Statistical Offices. It includes three sub-series for food, energy, and exchange rates, with unofficial exchange rate estimates.
Use Cases
- Modeling food price inflation based on the staple food price data
- Analyzing fuel price volatility based on the real-time energy price series
- Tracking currency fluctuations based on the unofficial exchange rate estimates
- Forecasting commodity price trends based on the weekly updated, machine-learning-augmented data
Strengths
- Updated weekly, with a last update timestamp of 2026-03-15 18:51:56.476009
- Combines direct measurement with machine learning estimation for data completeness
- Aggregates data from multiple authoritative sources including WFP, FAO, and National Statistical Offices
- Includes three distinct sub-series covering food, energy, and exchange rates
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
- Collection Method
- Combination of direct price measurement and machine learning estimation, using data from WFP, FAO, and National Statistical Offices.
- Time Range
- Historical and current estimates, updated weekly.
- Freshness
- Updated weekly
- Geography
- Philippines