Global GDP Projections Aligned with Shared Socioeconomic Pathways

Spatially explicit global gross domestic product data is projected under multiple Shared Socioeconomic Pathways. The dataset was created by Tingting Wang of the Chinese Academy of Sciences and is hosted on Zenodo. Version 5 and Version 6 of the data are available for download.

Use Cases

• Modeling economic impacts of climate change based on spatially explicit GDP projections.
• Assessing regional inequality under different socioeconomic futures described by the SSPs.
• Integrating economic data with other geospatial layers for environmental risk analysis.
• Calibrating macroeconomic or integrated assessment models with gridded GDP estimates.

Strengths

• Data is explicitly aligned with the established Shared Socioeconomic Pathways framework.
• Projections are spatially explicit, providing geographic detail beyond national aggregates.
• Multiple versions (5 and 6) are available, suggesting ongoing development and refinement.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Chinese Academy of Sciences

Geography

Global