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Private Property Rental Index by Type, Quarterly

Private Property Rental Index by Type, Quarterly

Rent refers to gross rent per month inclusive of service charge. An overall rental index for office and retail space as well as sub-indices by locality are given in this publication. The grouping of the areas are determined by the concentration of the particular type of property and the closeness in rental per sqm. As most of the office and retail space are concentrated in the Central Region, sub-indices for the outlying regions are not compiled. Within the Central Region, the locality classification used which follow largely the planning areas are Central Area and Fringe Area.

CCR : Core Central Region comprises Postal Districts 9, 10, 11, Downtown Core Planning Area and Sentosa. A map of Central Region showing the Core Central Region (CCR) and the Rest of Central Region (RCR) is available at: https://spring.ura.gov.sg/lad/ore/login/map_ccr.pdf

RCR : Rest of Central Region comprises the area within Central Region that is outside postal districts 9, 10, 11, Downtown Core Planning Area and Sentosa. A map of Central Region showing the Core Central Region (CCR) and the Rest of Central Region (RCR) is available at: https://spring.ura.gov.sg/lad/ore/login/map_ccr.pdf

Outside Central Region (OCR) refers to the planning areas which are outside the Central Region.

2 related datasets

Related datasets are grouped into a collection based on themes, topics or common attributes for easier access and exploration. All datasets within a collection are published and managed by the same agency.

Sample OpenAPI query

This code can be used to test a sample API query. It retrieves the metadata for this collection. For a complete guide on query parameters and syntax, please refer to the API documentation. Try it out on your browser to see the response schema.

import requests
          
collection_id = 1820          
url = "https://api-production.data.gov.sg/v2/public/api/collections/{}/metadata".format(collection_id)
        
response = requests.get(url)
print(response.json())