Education- and age-specific fertility rates for 50 African and Latin American countries between 1970 and 2020. The fertility rates are consistent with the United Nation's World Population Prospects (UN WPP) 2022 fertility rates. The Bayesian model developed to reconstruct the fertility rates using Demographic and Health Surveys and the UN WPP is published in a working paper. Abstract: Consistent and reliable time series of education- and age-specific fertility rates for the past are difficult to obtain in developing countries, although they are needed to evaluate the impact of women’s education on fertility along periods and cohorts. In this paper, we propose a Bayesian framework to reconstruct age-specific fertility rates by level of education using prior information from the birth history module of the Demographic and Health Surveys (DHS) and the UN World Population Prospects. In our case study regions, we reconstruct age- and education-specific fertility rates which are consistent with the UN age specific fertility rates by four levels of education for 50 African and Latin American countries from 1970 to 2020 in five-year steps. Our results show that the Bayesian approach allows for estimating reliable education- and age-specific fertility rates using multiple rounds of the DHS surveys. The time series obtained confirm the main findings of the literature on fertility trends, and age and education specific differentials. Funding: These data sets are part of the BayesEdu Project at Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna) funded from the “Innovation Fund Research, Science and Society” by the Austrian Academy of Sciences (ÖAW). Variables: Country: Country names Education: Four education levels, No Education, Primary Education, Secondary Education and Higher Education. Age group: Five-year age groups between 15-19 and 45-49. Year: Five-year periods between 1970 and 2020. Median: Median education and age-specific fertility rate estimate Upper_CI: 95% Upper Credible Interval Lower_CI: 95% Lower Credible Interval List of countries: Angola Benin Brazil Burkina Faso Burundi Cameroon Central African Republic Chad Colombia Comoros Congo Côte D'Ivoire DR Congo Ecuador Egypt Eswatini Ethiopia Gabon Gambia Ghana Guatemala Guinea Honduras Kenya Lesotho Liberia Madagascar Malawi Mali Mexico Morocco Mozambique Namibia Nicaragua Niger Nigeria Paraguay Peru Rwanda Sao Tome and Principe Senegal Sierra Leone South Africa Sudan Tanzania Togo Tunisia Uganda Zambia Zimbabwe

{"references": ["Durowaa-Boatend, A., Yildiz, D. , & Goujon, A. (2023). A Bayesian model for the reconstruction of education- and age-specific fertility rates: An application to African and Latin American countries. IIASA Working Paper. Laxenburg, Austria: WP-23-007"]}