A NOTE ON THE FUTURE POPULATION OF SINGAPORE RESIDENTS
Yoke Wai Wong (),
Uditha Balasooriya and
Khye Chong Tan
Additional contact information
Yoke Wai Wong: Nanyang Business School, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
Uditha Balasooriya: Nanyang Business School, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
Khye Chong Tan: School of Humanities and Social Science, Nanyang Technological University, Nanyang Avenue, Singapore 639798, Singapore
The Singapore Economic Review (SER), 2005, vol. 50, issue 02, 269-280
Abstract:
This paper examines the population trends in Singapore over the next 50 years. The component method is employed in the projection calculations. The aging of Singapore's resident population is well-known. The projections show that the Singaporean population will reach a maximum of about 3.63 million in the year 2025 before steadily declining to reach 3.32 million by the year 2050. The population projections were also done in terms of gender and ethnic groups. Dependency ratios, weighted and unweighted were also calculated assuming different retirement ages. Remarks on some policy implications of these projections are provided.
Keywords: Singapore; population projection; dependency ratios; aging; ethnicity (search for similar items in EconPapers)
Date: 2005
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0217590805002049
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:serxxx:v:50:y:2005:i:02:n:s0217590805002049
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0217590805002049
Access Statistics for this article
The Singapore Economic Review (SER) is currently edited by Euston Quah
More articles in The Singapore Economic Review (SER) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().