Peng, T.N. and Talha, R. and Rahman, E.N.A. and Ismail, M.F. (2021) Spatial demographic data for planning and research. Planning Malaysia, 19 (15). pp. 89-101. ISSN 16756215, DOI https://doi.org/10.21837/PM.V19I15.927.
Full text not available from this repository.Abstract
In Malaysia, spatial demographic studies are lacking due to data paucity. This exploratory study illustrates the relevance of spatial demographic data for development and business planning at the local level. Data for this study came from Malaysian population censuses, vital statistics reports and social statistics bulletins. Bivariate analyses were performed to present some examples of the potential use of spatial demographic data for more target-oriented planning. Data show that the population in several densely populated districts continues to grow rapidly. Hence, development planning should aim to forestall the exacer-bation of the regional imbalance. Localities with high birth rate and rapid population ageing must be prepared to cope with the changing demographic scenario. The wide variations in pupil-teacher ratio across districts indicate the need for resource reallocation. The under-reporting of births and deaths in the remote areas may result in misallocation of health and educational resources. Comparisons of indictors from different data sources demonstrate data inconsistency and deficiency. This study aims to present a strong case for collecting and disseminating small area statistics to enhance spatial demographic research for socio-economic development, infrastructural, regional and business planning. © 2021 Malaysian Institute Of Planners. All rights reserved.
| Item Type: | Article |
|---|---|
| Funders: | None |
| Uncontrolled Keywords: | Births; District; Older people; Spatial demographic data; State; Sub-national levels |
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | Faculty of Economics & Administration |
| Depositing User: | Ms Zaharah Ramly |
| Date Deposited: | 20 Dec 2023 11:02 |
| Last Modified: | 20 Dec 2023 11:02 |
| URI: | http://eprints.um.edu.my/id/eprint/35858 |
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