First study to map child undernutrition in India by village shows greatest variation at these micro levels

Screenshot of website dashboard for villages in India

A study published in PNAS by Harvard Pop Center Visiting Scientist Rockli Kim, ScD, faculty member S V Subramanian, PhD, and colleagues that utilizes “state-of-the-art data science techniques” to map and predict child undernutrition across the nearly 600,000 villages in India now provides governments at the most local level with this critical information about their constituents. To learn more about the potential value of such breakthrough, precision mapping, read the press release by the Harvard Chan School.

A dashboard published by the Geographic Insights Lab is available to the public in order to “explore the village maps and associated data in an interactive manner.”