Ojo, A., Vickers, D. and Ballas, D. (2013) Creating a small scale area classification for understanding the economic, social and housing characteristics of small geographical areas in the Philippines. Regional Science Policy & Practice, 5 (1). pp. 1-25.
Abstract
The Philippines is one of the most populous countries in the world. In terms of population, it ranks twelfth globally and seventh in Asia behind China, India, Indonesia, Pakistan, Bangladesh and Japan. The estimated population of the country in 2010 was 94 million people. Using data from the Philippines 2000 Census, this paper presents a discussion of the creation of a 3‐tier hierarchical geodemographic system for the country at Barangay scale. Barangays are the smallest spatial entities in the structure of the administrative geography of the country. Most popular geodemographic systems are typically developed from continuous datasets. In this paper, we discuss how a geodemographic classification system can be created by combining categorical and continuous datasets. The first level of the Philippines geodemographic hierarchy ensures the population can be profiled broadly at Barangay level into seven super‐groups. The super‐groups are further subdivided into 24 groups and finally into 66 subgroups.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 the author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC-ND 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Philippines; geodemographics; area classifications; Barangays |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Sociology and Social Policy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 09 Apr 2025 13:24 |
Last Modified: | 09 Apr 2025 13:24 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1111/j.1757-7802.2012.01076.x |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:225320 |