Weekly updated price data for Guinea-Bissau compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation for missing data, using sources like the World Food Program and UN-FAO. It includes three sub-series: Real Time Food Prices, Real Time Energy Prices, and Real Time Exchange Rates.
Use Cases
- Modeling food price inflation based on the Real Time Food Prices sub-series for staple foods.
- Analyzing fuel price volatility based on the Real Time Energy Prices sub-series.
- Tracking unofficial exchange rate fluctuations based on the Real Time Exchange Rates sub-series.
- Estimating missing price data using the described machine learning methodology.
Strengths
- Updated weekly, with a last update timestamp of 2026-03-15 18:13:13.117405.
- Combines direct measurement with machine learning estimation to address data gaps.
- Sourced from authoritative bodies like the World Bank, WFP, and FAO.
- Includes three distinct price sub-series: 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.
- Data may reflect geographic and 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
- Weekly updates.
- Geography
- Guinea-Bissau.