During the current health crisis, knowing where people are located, what conditions they are facing, and their access to basic services and infrastructure is essential. Helping to answer these key needs, gridded population data have emerged and can play an important role in mapping individuals’ vulnerability and ensuring that no one is left behind. Gridded (or raster) population maps represent the distribution of population in rows and columns of grid cells, typically defined by their latitude-longitude coordinates. Population data is redistributed across these grid cells and combined with satellite imagery and other sources to provide more accurate and timely population estimates. Yet, as TReNDS’ recent report, Leaving No One Off The Map: A Guide To Gridded Population Data For Sustainable Development, demonstrates, many policymakers and other users remain largely unaware of these tools, including their nuances and strengths and weakness for potential application. There is a critical need for more validation work and capacity-building in countries. These issues were highlighted during a recent virtual debate, “How Can We Leverage Population Data In A Time Of Crisis,” hosted by TReNDS in partnership with SciDev.net.

The 2030 SDG Agenda promises to leave no one behind, but to fulfill this promise we need quality, timely, and accurate population data to account for everyone everywhere. Recent innovations in geospatial technology and remote sensing have paved the way for gridded population datasets to help fill these important gaps, but information is still lacking on their unique characteristics, potential, and limitations. These issues were highlighted during this week’s webinar, “Leaving No One off the Map: Gridded Population Data for Decision-Making,” hosted by TReNDS in partnership with Geospatial World Media featuring TReNDS Co-Chair and Director of CIESIN, Bob Chen, and TReNDS Manager, Maryam Rabiee.