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Dataset: Master Plan 2019 Planning Area Boundary (No Sea)
Data from Apr 2017 to Apr 2017
Last updated: 05 Dec 2025, 10:07 SGT
Indicative polygon of planning area boundary.
To facilitate urban planning, the Urban Redevelopment Authority (URA) divides Singapore into regions, planning areas and subzones.
The Planning Regions are divided into smaller Planning Areas. Each Planning Area have a population of about 150,000 and served by a town centre and several neighbourhood commercial/shopping centres.
The Master Plan is a forward looking guiding plan for Singapore's development in the medium term over the next 10 to 15 years and the planning boundaries may not coincide with existing developments for some areas.
Attribute Legend
| Attributes | Data Type | Description |
|---|---|---|
| OBJECTID | Numeric | - |
| PLN_AREA_N | Text | - |
| PLN_AREA_C | Text | - |
| CA_IND | Text | - |
| REGION_N | Text | - |
| REGION_C | Text | - |
| INC_CRC | Text | - |
| FMEL_UPD_D | Numeric | - |
| SHAPE.AREA | Numeric | - |
| SHAPE.LEN | Numeric | - |
Dataset preview
This code can be used to view the raw JSON dataset for Master Plan 2019 Planning Area Boundary (No Sea). Large datasets may be truncated in the preview. Please download the dataset for complete data.
{
"type" : "FeatureCollection",
"name" : "URA_MP19_PLNG_AREA_NO_SEA_PL",
"features" : [
{
"type" : "Feature",
"geometry" : {
"type" : "Polygon",
"coordinates" : [
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This code can be used to test a sample API query. It retrieves the data catalogue of this dataset. For a complete guide on query parameters and syntax, please refer to the API documentation
import requests
dataset_id = "d_4765db0e87b9c86336792efe8a1f7a66"
url = "https://api-open.data.gov.sg/v1/public/api/datasets/" + dataset_id + "/poll-download"
response = requests.get(url)
json_data = response.json()
if json_data['code'] != 0:
print(json_data['errMsg'])
exit(1)
url = json_data['data']['url']
response = requests.get(url)
print(response.text)This dataset can be reused and cited in research publications.
31 Jul 2023
Free forever for personal or commercial use, under the Open Data Licence.