A comparative analysis of fertility differentials in Ghana and Nigeria

Journal article

Authors/Editors

Fabgamigbe, Adeniyi

Research Areas

Clinical medicine (MEDICAL AND HEALTH SCIENCES)
( - Andrology; Obstetrics and gynaecology; Paediatrics; Cardiac and Cardiovascular systems; Peripheral vascular disease; Hematology; Respiratory systems; Critical care medicine and Emergency medicine; Anaesthesiology; Orthopaedics; Surgery; Radiology, nuclear medicine and medical imaging; Transplantation; Dentistry, oral surgery and medicine; Dermatology and venereal diseases; Allergy; Rheumatology; Endocrinology and metabolism (including diabetes, hormones); Gastroenterology and hepatology; Urology and nephrology; Oncology; Ophthalmology; Otorhinolaryngology; Psychiatry; Clinical neurology; Geriatrics and gerontology; General and internal medicine; other clinical medicine subjects; Integrative and complementary medicine (alternative practice systems);
)

Publication Details

Subtitle: A comparative analysis of fertility differentials in Ghana and Nigeria

Publisher: Wharc

Publication year: 2009

Journal: African Journal of Reproductive Health (1118-4841)

Journal acronym: AJRH

Issue number: 3

ISSN: 1118-4841

eISSN: 2141-3606

URL: https://www.ajol.info/index.php/ajrh/article/view/109197

Languages: English-United States (EN-US)

Abstract

Nigeria and Ghana are the most densely populated countries in the West African sub-region with fertility levels above world average. Our study compared the two countries' fertility levels and their determinants as well as the differentials in the effect of these factors across the two countries. We carried out a retrospective analysis of data from the Nigeria and Ghana Demographic Health Surveys, 2008. The sample of 33,385 and 4,916 women aged 15-49 years obtained in Nigeria and Ghana respectively was stratified into low, medium and high fertility using reported children ever born. Data was summarized using appropriate descriptive statistics. Factors influencing fertility were identified using ordinal logistic regression at 5% significance level. While unemployment significantly lowers fertility in Nigeria, it wasn't significant in Ghana. In both countries, education, age at first marriage, marital status, urban-rural residence, wealth index and use of oral contraception were the main factors influencing high fertility levels.

Keywords

Fertility differential, Educational level, ordinal logistic regression, Nigeria, Ghana

Documents

No matching items found.