@article{97bb576039e14254ab9a11cb6a711f52,
title = "Sub-national mapping of population pyramids and dependency ratios in Africa and Asia",
abstract = "The age group composition of populations varies substantially across continents and within countries, and is linked to levels of development, health status and poverty. The subnational variability in the shape of the population pyramid as well as the respective dependency ratio are reflective of the different levels of development of a country and are drivers for a country's economic prospects and health burdens. Whether measured as the ratio between those of working age and those young and old who are dependent upon them, or through separate young and old-age metrics, dependency ratios are often highly heterogeneous between and within countries. Assessments of subnational dependency ratio and age structure patterns have been undertaken for specific countries and across high income regions, but to a lesser extent across the low income regions. In the framework of the WorldPop Project, through the assembly of over 100 million records across 6,389 subnational administrative units, subnational dependency ratio and high resolution gridded age/sex group datasets were produced for 87 countries in Africa and Asia.",
keywords = "Africa, Asia, Demography, Humans, Socioeconomic Factors",
author = "Carla Pezzulo and Hornby, {Graeme M.} and Alessandro Sorichetta and Gaughan, {Andrea E.} and Catherine Linard and Bird, {Tomas J.} and David Kerr and Lloyd, {Christopher T.} and Tatem, {Andrew J.}",
note = "Funding Information: This work is supported by funding from the Bill & Melinda Gates Foundation (OPP1134076). C.P. is supported by funding from the Bill & Melinda Gates Foundation (OPP1106427). G.M.H. and A.S. are supported by funding from the Bill & Melinda Gates Foundation (OPP1106427, 1032350). A.E.G. is supported by funding from Google (OICB150153) and the Bill & Melinda Gates Foundation (OPP1134076). C.L. is supported by funding from the Belgian Science Policy (SR/00/304). A.J.T. is supported by funding from NIH/NIAID (U19AI089674) and acknowledges the support of the RAPIDD program of the Science and Technology Directorate, Department of Homeland Security, and the Fogarty International Center, National Institutes of Health. A.J.T. is also supported by the Bill & Melinda Gates Foundation (OPP1106427, 1032350, OPP1134076, OPP1094793), the Clinton Health Access Initiative as well as a Wellcome Trust Sustaining Health Grant (106866/Z/15/Z). Publisher Copyright: {\textcopyright} The Author(s) 2017. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",
year = "2017",
month = jul,
day = "19",
doi = "10.1038/sdata.2017.89",
language = "English",
volume = "4",
pages = "170089",
journal = "Scientific Data",
issn = "2052-4463",
publisher = "Nature Publishing Group",
}