title: Determinants of fertility in Namibia.
abstract: In-depth studies on fertility in Namibia have been lacking so far. This examines the fertility trends in Namibia over the past 2 decades and examines fertility differentials across the various sub-groups of Namibia population, and factors affecting such differentials using NDHS data. Estimates of the amount of variance in the total number of children ever born that could be explained by each of the independent variables were made using multiple regression analysis for the three data sources. Overall, results from descriptive analysis show that fertility levels in Namibia have been decreasing over the past two decades. The decrease could be associated with an increased trend in the prevalence of use of modern contraceptives which doubled since 1992. Age at first birth has remained constant but age at first marriage continues to increase. As a result, postponement of marriage increases the probability that women remain childless or that they have fewer children than desired. Replacement level is projected to be attained much faster than expected and the study recommend for further research that focuses on policy implications of family planning programmes once replacement level has been achieved to maintain it.
authors: Department of Statistics, Faculty of Science, University of Namibia, Namibia. nkanime@unam.na
authors: Nelago
authors: N
authors: Indongo
authors: Lillian
authors: L
authors: Pazvakawambwa
mesh_terms: D000293:Adolescent; D000328:Adult; D001723:Birth Rate / Q000639:trends*; D003267:Contraception / Q000379:methods / Q000523:psychology / Q000706:statistics & numerical data / Q000639:trends; D003268:Contraception Behavior; D005191:Family Characteristics; D005193:Family Planning Services / Q000379:methods / Q000458:organization & administration; D005260:Female; D005298:Fertility; D006801:Humans; D017533:Marital Status / Q000706:statistics & numerical data; D008423:Maternal Age; D008875:Middle Aged; D009276:Namibia / Q000453:epidemiology; D010298:Parity; D011157:Population Dynamics / Q000706:statistics & numerical data / Q000639:trends; D011247:Pregnancy; D012044:Regression Analysis; D060728:Reproductive Health / Q000706:statistics & numerical data*; D012423:Rural Health / Q000706:statistics & numerical data; D014504:Urban Health / Q000706:statistics & numerical data