Data Integration Approaches to Strengthen Asia and the Pacific’s Statistical Capacity to Map Poverty

This brief outlines how innovative data sources can enable faster and more precise poverty mapping to inform targeted responses. The brief sets out how sources including big data analytics, remote sensing, machine learning, and satellite imagery can support real-time, cost-efficient poverty estimation. It discusses the challenges involved and highlights the need for enhanced regional cooperation, more investment in capacity building, stronger public–private partnerships, and clear data governance frameworks.