Recent years have witnessed considerable speculation about the potential of open data to bring about wide-scale transformation. The bulk of existing evidence about the impact of open data, however, focuses on high-income countries. Much less is known about open dataís role and value in low- and middle-income countries, and more generally about its possible contributions to economic and social development. Open data for developing economies features in-depth case studies on how open data is having an impact across the developing world-from an agriculture initiative in colombia to data-driven healthcare projects in uganda and south africa to crisis response in nepal. The analysis built on these case studies aims to create actionable intelligence regarding: (a) the conditions under which open data is most (and least) effective in development, presented in the form of a periodic table of open data; (b) strategies to maximize the positive contributions of open data to development; and (c) the means for limiting open dataís harms on developing countries.