Angola Transport and Economic Activity Data from 1990 to 2021
by Naomi Tan / Loughborough University
Available on 1 platform
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Description
Historical annual data from 1990 to 2021 includes passenger and freight activity by mode and fuel, energy intensities, load factors, vehicle stock, population, and GDP breakdowns. This data kit, authored by Naomi Tan of Loughborough University, serves as a foundation for transport-energy modelling and identifying areas for improvement. The data was verified through stakeholder consultation before publishing.
Use Cases
Model transport energy demand based on historical passenger and freight activity data.
Analyze the relationship between economic growth (GDP) and transportation activity over time.
Assess modal shifts and fuel efficiency trends using data on vehicle stock and energy intensities.
Forecast future transport sector emissions based on historical load factors and activity data.
Strengths
Covers a 32-year time series from 1990 to 2021.
Includes verified data on multiple integrated domains: transport activity, energy, vehicle stock, population, and GDP.
Provides disaggregated data by transport mode, fuel type, and economic sector.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Last update date is unknown; freshness unverified.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
Loughborough University
Collection Method
Data was verified through consultation with relevant stakeholders before publishing.
Time Range
1990–2021
Geography
Angola
License is listed as Open Access (green); specific terms should be reviewed.