Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa

Includes bibliographical references

Saved in:
Bibliographic Details
Main Author: Hlabano, Mbongeni Charles
Other Authors: Dorrington, Rob
Format: Thesis
Language:English
Published: Centre for Actuarial Research (CARE) 2016
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1867613181249060864
access_status_str Open Access
author Hlabano, Mbongeni Charles
author2 Dorrington, Rob
author_browse Dorrington, Rob
Hlabano, Mbongeni Charles
author_facet Dorrington, Rob
Hlabano, Mbongeni Charles
author_sort Hlabano, Mbongeni Charles
collection Thesis
description Includes bibliographical references
format Thesis
id oai:open.uct.ac.za:11427/16610
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:32:03.909Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Centre for Actuarial Research (CARE)
publisherStr Centre for Actuarial Research (CARE)
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/16610 An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa Hlabano, Mbongeni Charles Dorrington, Rob Demography Includes bibliographical references The production of mid-year population estimates is an important undertaking which informs various stakeholders in policy formation and decision making. For instance, national governments use mid-year estimates to allocate seats in parliament to various constituents and public health sectors use them to monitor and improve service delivery. Mid-year population estimates undoubtedly serve very important purposes that affect lives of many people. As such, national statistical offices in various countries are given the mandate to produce annual mid-year population estimates. Statistics South Africa (Stats SA) assumes the function of producing and publishing official mid-year estimates of the population in South Africa. Stats SA produces its mid-year estimates using DemProj, population projection software which is part of the SPECTRUM suite of policy models developed by the Futures Institute. However, Stats SA does not publish full details of its adaptation of DemProj when producing its mid-year estimates as it regards this as proprietary. Concerns have been raised about the accuracy of the official mid-year estimates in terms of age distribution, particularly for ages below 40 last birthday in 2011 (e.g. Dorrington 2013). As such, this research critically analyses the method used by Stats SA to produce mid-year estimates and assesses the feasibility of using administrative data to produce mid-year estimates for South Africa. The base population is adapted from the 2001 census population. Birth and death registration data are used in a cohort component approach to produce alternative mid-year estimates for South Africa for the years 2002-2011. Prior to using these data, they are adjusted for incompleteness of registration. Levels of completeness of birth and death registration are estimated by extrapolating earlier estimates of completeness from various researchers. The mid-year estimates obtained are compared with those published by Stats SA in order to assess the relative quality of the two series of mid-year estimates. The mid-year estimates for 2011 are also compared with the mid-year population estimated from the 2011 census. These comparisons help identify the mismatches to the census and their possible causes and as such, these may lead to improved population estimates in the future, and a viable alternative method to that currently being used by Stats SA. 2016-01-29T11:05:48Z 2016-01-29T11:05:48Z 2015 Master Thesis Masters MPhil http://hdl.handle.net/11427/16610 eng application/pdf Centre for Actuarial Research (CARE) Faculty of Commerce University of Cape Town
spellingShingle Demography
Hlabano, Mbongeni Charles
An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa
thesis_degree_str Master's
title An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa
title_full An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa
title_fullStr An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa
title_full_unstemmed An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa
title_short An assessment of the feasibility of using administrative data in producing mid-year population estimates for South Africa
title_sort assessment of the feasibility of using administrative data in producing mid year population estimates for south africa
topic Demography
url http://hdl.handle.net/11427/16610
work_keys_str_mv AT hlabanombongenicharles anassessmentofthefeasibilityofusingadministrativedatainproducingmidyearpopulationestimatesforsouthafrica
AT hlabanombongenicharles assessmentofthefeasibilityofusingadministrativedatainproducingmidyearpopulationestimatesforsouthafrica