Sri Lanka's weekly updated price data compiled by the World Bank Development Economics Data Group. The dataset combines direct price measurement with machine learning estimation, sourcing information from the World Food Program, UN-FAO, and national offices. Real-time exchange rate data from official and public sources are used in the process.
Use Cases
- Modeling food price inflation based on staple food price data.
- Analyzing fuel price trends based on real-time energy price data.
- Forecasting currency fluctuations based on official and unofficial exchange rate estimates.
- Assessing food security risk based on the availability of staple food price trends.
Strengths
- Updated weekly, with a last recorded update on 2026-03-15.
- Combines direct measurement with machine learning to estimate missing data.
- Sourced from authoritative organizations like the World Bank, 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.
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
- Sri Lanka