Published November 10, 2023 | Version 2

Education- and age-specific fertility rates for 50 African and Latin American countries between 1970 and 2020

  • 1. Vienna Institute of Demography
  • 2. International Institute for Applied Systems Analysis

Contributors

Project leader:

  • 1. International Institute for Applied Systems Analysis
  • 2. Vienna Institute of Demography

Description

Version 2

Education- and age-specific fertility rates for 50 African and Latin American countries between 1970 and 2020 as published in Durowaa-Boateng et. al (2023). 

The data and figures can be accessed and downloaded from https://populationafrica.org/.

 

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

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Additional details

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
  • Durowaa-Boateng, 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. Demographic Research 49 (31) 809-848. 10.4054/DemRes.2023.49.31