West African Crop Yields with Climate Extremes Data

This database integrates rainfall extreme indices, temperature variables, and crop yield data for maize, wheat, and rice. It is aggregated at country, regional, and district levels to assess climate impacts on agriculture across West Africa.

Use Cases

• Analyze the relationship between rainfall extreme indices like heavy rainfall events and crop yield data for maize across different administrative levels.
• Model the impact of temperature variables such as mean, minimum, and maximum temperature on wheat yields in West African agroclimatic zones.
• Assess crop yield variability for rice using multi-scale data aggregated at country (ADM0), regional (ADM1), and district (ADM2) levels.

Strengths

• Integrates three distinct data types: rainfall extreme indices, temperature variables, and crop yield data.
• Enables multi-scale analysis with data aggregated at three administrative levels (ADM0, ADM1, ADM2).
• Focuses on three major staple crops: maize, wheat, and rice.

Limitations

• The specific number of rows, columns, and file size is unknown, limiting assessment of dataset scale.
• The exact temporal coverage and update frequency are not specified, which may affect time-series analysis.
• Data is geographically limited to West Africa, which may not be generalizable to other regions.

Provenance

Source

IWMI Dataverse

Collection Method

Developed to assess impacts of extreme climate variability on crop yields; integrates multiple climate and agricultural data sources.

Freshness

Last updated on 2026-02-18.

Geography

West Africa