Burkina Faso Real Time Prices for Food, Energy, and Exchange Rates

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 for missing data, using sources like the World Food Program and UN-FAO. The dataset includes three sub-series for food, energy, and exchange rates, with unofficial exchange rate estimates.

Use Cases

• Modeling food price inflation based on staple food price data.
• Analyzing fuel price trends and volatility from the energy price sub-series.
• Forecasting unofficial exchange rate movements based on the exchange rate estimates.
• Assessing market conditions and food security using the combined, ML-estimated price series.

Strengths

• Updated weekly, providing a live data stream.
• Uses Machine Learning to estimate missing price data, potentially improving coverage.
• Combines data from multiple authoritative sources like WFP, FAO, and National Statistical Offices.
• License is CC-BY-4.0, permitting broad reuse.

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 compilation methodology.

Provenance

Source

World Bank Development Economics Data Group (DECDG).

Collection Method

Compiled using a combination of direct price measurement and Machine Learning estimation, updated weekly.

Time Range

Historical and current estimates; specific temporal coverage is not provided.

Freshness

Last updated 2026-03-15 17:57:27.374839; freshness should be verified.

Geography

Burkina Faso.