Back to results

Division of Actuarial Science

Analysis of fertility estimates in Zimbabwe : A comparison of the census and DHS data

Abstract

dc:description.abstract

Analysis of census data is important to uncover new insights as well as highlight where improvements in future data collection are required. The study provides an assessment of the fertility estimates derived from census data in comparison to those derived from the Zimbabwe Demographic and Health Surveys. Robust methods are used to estimate fertility levels and to identify the trends in fertility in Zimbabwe. Fertility decline in Zimbabwe is observed to have started in the early 1980s. The greatest level of decline occurred between the 1980s and the mid-1990s. In more recent years fertility in Zimbabwe has stalled at roughly four children per woman. Using projected parity progression ratios fertility decline has been observed to be in part a result of parity limitation, as fewer women progress to higher parities. A comparison of the census and Zimbabwe Demographic and Health Survey fertility measures show that for the same cohort of women, the measures of fertility are strongly congruent. While there are problems with census data, it has been shown that using robust estimation the census fertility estimates are comparable to those from the Demographic and Health Surveys.

Degree

thesis:*
Grantor dc:publisher.institution
Division of Actuarial Science
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Madari, Zvikomborero T R
Advisor dc:contributor.advisor
  • Moultrie, Tom

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/13122
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/13122

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Madari, Zvikomborero T R. Analysis of fertility estimates in Zimbabwe : A comparison of the census and DHS data. Division of Actuarial Science, 2014. http://hdl.handle.net/11427/13122