Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group. It includes three sub-series: Real Time Food Prices (RTFP) for staple foods, Real Time Energy Prices (RTEP) for fuel, and Real Time Exchange Rates (RTFX). The data is based on price information from the World Food Program, UN-FAO, and select National Statistical Offices, with missing data estimated using Machine Learning.
Use Cases
- Modeling inflation trends based on weekly-updated food and energy price series.
- Analyzing food security and market stability based on staple food price data.
- 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 recorded update on 2026-04-16 17:32:13.321462.
- Compiled by the World Bank Development Economics Data Group using data from WFP, FAO, and National Statistical Offices.
- Employs Machine Learning to estimate missing price data, potentially improving coverage.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count and dataset size are 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
- Combination of direct price measurement and Machine Learning estimation, using data from WFP, FAO, and select National Statistical Offices.
- Freshness
- Updated weekly.
- Geography
- Uganda.