The World-Wide Human Geography Data Working Group will be at the 2018 Esri FedGIS Conference!

Please plan on joining us for an informative, open discussion on the topic of Global Population Mapping.  This will be a facilitated discussion among attendees around population mapping gaps and challenges specific to scales and accuracy, geographies (rural vs. urban) and uncertainty with population estimation.  We hope to discover methods or uncover new ideas that will better serve our work within the global community construct.

We look forward to seeing you in Meeting Room 158B, at the Walter E. Washington Convention Center on Tuesday, 20 March from 2:00-3:00 PM.

Come learn more about the WWHGD WG, connect with other members, and hear about this year’s upcoming events.

 For questions, please contact Terri Ryan at or Gwyneth Holt at

 We look forward to seeing you in DC on March 20th!


About the WWHGD

In 2011, the World-Wide Human Geography Data Working Group (WWHGD WG) was created to focus on the need for human geography global foundation data in order to provide a basis for a deeper understanding of cultures, activities, and attitudes. Well-organized and comprehensive human geography data can be applied to analysis that allows us to better anticipate the behavior of people over space and time and to inform decision-making that supports human security, including crisis mitigation and humanitarian response. The Working Group will focus on understanding why people do what they do where they do it.

The WWHGD Working Group is designed to build voluntary partnerships around human geography data and mapping focused on the general principle of making appropriate information available at the appropriate scales to promote human security. This involves a voluntary "whole-of-governments" national and international approach to create a human geography data framework that can leverage ongoing efforts around the world to identify, capture, build, share, and disseminate the best available structured and unstructured foundation data.

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