Afghanistan price data compiled and updated 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 national offices. 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 staple food price data.
- Analyzing energy market trends based on real-time fuel prices.
- Forecasting unofficial exchange rate fluctuations based on the RTFX sub-series.
- Assessing food security risks based on the Real Time Food Prices (RTFP) data.
Strengths
- Updated weekly, with a last recorded update on 2026-03-15.
- Combines direct measurement with machine learning to estimate missing price data.
- Integrates data from multiple authoritative sources including WFP, FAO, and national offices.
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 Group
- Collection Method
- Compiled using a combination of direct price measurement and machine learning estimation, with data from WFP, FAO, and national offices.
- Time Range
- Historical and current estimates, updated weekly.
- Freshness
- Updated weekly.
- Geography
- Afghanistan