This study investigated using data from international postal flows and other global networks as proxy indicators for national socioeconomic metrics. Electronic postal records from 2010-2014 involving 187 countries were analyzed. Connectivity measures from these networks were strongly correlated with indicators like GDP, HDI, and poverty rate. Combining these network data into a multiplex model further improved correlations and generated multidimensional connectivity indicators. This demonstrated new approaches for approximating standard socioeconomic benchmarks in a global, real-time manner using alternative data sources like postal and digital network flows.