Madagascar Real Time Prices: Food, Energy, and Exchange Rates
Updated 2mo ago
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Description
Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank. It combines direct price measurement with Machine Learning estimation to fill gaps, using data from the World Food Program, UN-FAO, and National Statistical Offices. The dataset includes three sub-series for food staples, fuel, and exchange rates, including unofficial estimates.
Use Cases
Modeling food price inflation based on weekly updated staple food prices.
Analyzing fuel price volatility using the Real Time Energy Prices (RTEP) sub-series.
Tracking unofficial exchange rate fluctuations for economic research.
Forecasting market trends by combining historical and current price estimates.
Strengths
Updated weekly, providing near-live data.
Uses Machine Learning to estimate missing price data, improving coverage.
Compiled by the World Bank Development Economics Data Group (DECDG).
Integrates data from multiple authoritative sources like 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.
Data may reflect geographic or source bias inherent to the contributing organizations.
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 Statistical Offices.
Freshness
Updated weekly; last metadata update was 2026-04-16.