South Sudan 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, fuel, and exchange rates, with unofficial rate estimates.

Use Cases

• Modeling food price inflation based on weekly updated staple food prices.
• Analyzing fuel price volatility and its economic impact based on real-time energy price data.
• Forecasting unofficial exchange rate movements based on the included exchange rate sub-series.
• Assessing market conditions and food security based on the combination of direct and ML-estimated price data.

Strengths

• Updated weekly, providing a live data stream.
• Combines direct measurement with machine learning to estimate missing values.
• Integrates data from authoritative sources like the World Food Program and UN-FAO.
• Includes three distinct sub-series covering food, energy, and exchange rates.

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 contributing organizations.

Provenance

Source

World Bank Development Economics Data Group (DECDG)

Collection Method

Compiled from World Food Program, UN-FAO, and select National Statistical Offices, using a combination of direct price measurement and machine learning estimation.

Time Range

Historical and current estimates, updated weekly.

Freshness

Last updated 2026-03-15 18:58:12.040339; freshness should be verified.

Geography

South Sudan