Using Time-Use Evidence to Inform Economic Planning and Productivity-Oriented Policy
Abstract
Kenya is exploring ways to integrate time-use evidence into economic planning to address productivity constraints and promote inclusive growth. Drawing on the country’s experience and participation in the Time for Growth Collaborative, this presentation examines how data on unpaid domestic and care work, labour allocation and access to essential services can inform policy priorities across employment, health, agriculture and gender equality. Kenya’s Household Satellite Account estimates the value added of unpaid domestic and care work at KSh 2.545 trillion, equivalent to 23.1% of GDP, underscoring its economic significance. The presentation explores how integrating time-use statistics with national accounts, household surveys and administrative data can strengthen macroeconomic analysis, development planning and public resource allocation. It also highlights the institutional partnerships needed to translate statistical evidence into practical policy interventions. Kenya’s experience demonstrates the potential of time-use data to inform productivity-enhancing investments and more inclusive, evidence-based development strategies.