World Bank Transport Services Imports in Current US Dollars
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Description
World Bank's WDI Database Archives provides data on transport services imports, a component of the Balance of Payments. The dataset quantifies the value of all transport services purchased from foreign economies, covering sea, air, land, waterway, pipeline, space, electricity transmission, postal, and courier services. Data are reported in current U.S. dollars, though the specific temporal coverage and update frequency are not detailed in the provided information.
Use Cases
Analyze trends in national expenditure on foreign transport services over time using the reported monetary values.
Compare the scale of transport service imports across different countries using the standardized current US dollar metric.
Model the relationship between transport service imports and other economic indicators like GDP or total trade volume.
Benchmark a country's reliance on foreign carriers and logistics infrastructure against regional peers.
Strengths
Data adheres to the standardized Balance of Payments (BoP) accounting framework, ensuring cross-country comparability.
Covers a comprehensive scope of transport modes including postal and courier services.
Limitations
Sample size, temporal coverage, and geographic scope are unspecified, limiting assessment of representativeness.
Data is presented only as an aggregate monetary value, lacking granular breakdowns by transport mode or partner country.
Potential for reporting inconsistencies across countries due to variations in national data collection methods.
Provenance
Source
World Bank World Development Indicators (WDI) Database Archives.
Collection Method
Compiled from officially reported national Balance of Payments statistics submitted to the International Monetary Fund (IMF).
Geography
Global coverage of reporting economies, though specific countries and years are not listed.
Data values represent imports (purchases from non-residents), not exports. The 'current US$' values are nominal and not adjusted for inflation, which is critical for time-series analysis.