A job for everyone? The value of collecting gender-disaggregated labor data

As part of our survey on jute value chains in the southern Delta of Bangladesh, we collected detailed gender- and task-disaggregated household and wage labor data instead of the normal, smaller set of statistics that are typically used to estimate labor costs in production; normally, agricultural production modules tend to ask about the total amount of household and hired labor, and total labor cost.

This blog highlights how disaggregating such data by gender and task can enhance our understanding of gender dynamics and opportunities to empower women through inclusive value chains development.