In Sudan, timely and frequent development planning, targeting, and progress monitoring suffer due to crucial gaps in the availability of up-to-date and reliable disaggregated data on poverty. To test the potential of Big Data to fill crucial datagaps hindering evidence-based policy decisions and monitoring, UNDP, with the Sudanese Central Bureau of Statistics, piloted a low-cost and nearly real-time alternative data collection method using Big Data on mobile phone usage as a proxy measure for poverty. Studies have shown that mobile phone call record attributes, extracted from Call Detail Records (CDR), show strong correlations with socio-economic variables and could be utilized as a proxy for poverty measures. For Sudan with its low national capacity and resources for traditional surveys to inform national progress and a context which suffers from protracted crisis due to internal conflict and high number of refugees from neighboring countries and the region, CDR offers a promising premise to measure proxy poverty.
New and Emerging Data