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Fertility transition in Kenya: a regional analysis of the proximate determinants

Fertility transition in Kenya: a regional analysis of the proximate determinants
Fertility transition in Kenya: a regional analysis of the proximate determinants
This paper analyses regional fertility patterns in Kenya since 1989 using data from the four Demographic and Health Surveys of 1989, 1993, 1998 and 2003, and a consistent set of 21 regions. The impacts of late and non-marriage, contraceptive use, sterility and postpartum non-susceptibility on fertility in each region are quantified using the model of the proximate determinants of fertility developed by John Bongaarts. The model is modified to take account of the impact of non-marital childbearing and secondary sterility. Substantial and persistent regional differentials in fertility are identified. Generally, fertility is lowest in urban areas and in rural areas in the centre of the country. It is higher in both coastal and western areas. The pattern of increasing contraceptive use and a rising age at marriage offsetting the impact of shorter durations of breastfeeding as modernisation progresses is only found in a small number of regions in Central and Eastern Provinces, and in Nairobi. Elsewhere a variety of demographic regimes is observed, some associated with fertility decline, others associated with constant or even increasing fertility. There are differences between the experiences of Nairobi and Mombasa, the two largest urban areas, with Mombasa’s low fertility being associated with none of the major proximate determinants.
A06/03
Southampton Statistical Sciences Research Institute, University of Southampton
Anyara, Ekisa L.
a4e39dc3-08be-44d9-b438-effeae07dcf1
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d
Anyara, Ekisa L.
a4e39dc3-08be-44d9-b438-effeae07dcf1
Hinde, Andrew
0691a8ab-dcdb-4694-93b4-40d5e71f672d

Anyara, Ekisa L. and Hinde, Andrew (2006) Fertility transition in Kenya: a regional analysis of the proximate determinants (S3RI Applications and Policy Working Papers, A06/03) Southampton, UK. Southampton Statistical Sciences Research Institute, University of Southampton 55pp.

Record type: Monograph (Working Paper)

Abstract

This paper analyses regional fertility patterns in Kenya since 1989 using data from the four Demographic and Health Surveys of 1989, 1993, 1998 and 2003, and a consistent set of 21 regions. The impacts of late and non-marriage, contraceptive use, sterility and postpartum non-susceptibility on fertility in each region are quantified using the model of the proximate determinants of fertility developed by John Bongaarts. The model is modified to take account of the impact of non-marital childbearing and secondary sterility. Substantial and persistent regional differentials in fertility are identified. Generally, fertility is lowest in urban areas and in rural areas in the centre of the country. It is higher in both coastal and western areas. The pattern of increasing contraceptive use and a rising age at marriage offsetting the impact of shorter durations of breastfeeding as modernisation progresses is only found in a small number of regions in Central and Eastern Provinces, and in Nairobi. Elsewhere a variety of demographic regimes is observed, some associated with fertility decline, others associated with constant or even increasing fertility. There are differences between the experiences of Nairobi and Mombasa, the two largest urban areas, with Mombasa’s low fertility being associated with none of the major proximate determinants.

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Published date: 2 June 2006

Identifiers

Local EPrints ID: 38110
URI: http://eprints.soton.ac.uk/id/eprint/38110
PURE UUID: 1d8c1717-3a6e-4a88-ad0d-38985c2ec529
ORCID for Andrew Hinde: ORCID iD orcid.org/0000-0002-8909-9152

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Date deposited: 02 Jun 2006
Last modified: 16 Mar 2024 02:44

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Contributors

Author: Ekisa L. Anyara
Author: Andrew Hinde ORCID iD

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