DATA
Geography Boundaries & Insights
SINGAPORE
Authoritative Singapore geographic boundaries dataset spanning regions, planning areas, and subzones
Source:
Urban Redevelopment Authority (URA)
Access:
Free, unlimited access
Data is hosted exclusively on the Snowflake Marketplace.
Description
This dataset provides a structured geographic framework of Singapore, based on boundaries defined by the Urban Redevelopment Authority (URA) Master Plan. As the country’s statutory land use plan, the Master Plan guides Singapore’s development over a 10 to 15-year horizon and is reviewed every five years to reflect evolving planning strategies. This dataset captures how Singapore is spatially organised, offering a consistent foundation for analysing regions, planning areas, and historical subzone divisions.
It includes the latest region and planning area boundaries from the URA Master Plan 2025, alongside subzone boundaries from the 2019 edition, enabling both current-state analysis and historical comparison. These layers define how Singapore is segmented for planning and governance, including indicators such as controlled industrial areas. Together, they provide a critical spatial index for aligning, aggregating, and analysing data across geographies—supporting use cases in market analysis, service delivery, and strategic planning.
Details
Category
Geospatial
Geographic Coverage
Singapore (by Latitude and Longitude)
Refreshes
Annually
Access
Free, unlimited access
Schemas available
- SG_GEOGRAPHY_FREE
Tables available
- PLANNING_AREA_BOUNDARY
- REGION_BOUNDARY
- SUBZONE_BOUNDARY
Cloud Region Availability - AWS
Asia Pacific (Jakarta)
Asia Pacific (Mumbai)
Asia Pacific (Osaka)
Asia Pacific (Seoul)
Asia Pacific (Singapore)
Asia Pacific (Sydney)
Asia Pacific (Tokyo)
Cloud Region Availability - Azure
Australia East (New South Wales)
Central India (Pune)
Japan East (Tokyo, Saitama)
Korea Central (Seoul)
Southeast Asia (Singapore)
Cloud Region Availability - GCP
Australia Southeast 2 (Melbourne)
Use Cases
Location Planning
Use official geographic boundaries to guide expansion, network planning, and service coverage decisions. Planning areas and regions provide a structured way to evaluate market presence and identify gaps or opportunities.
Market Analysis
Analyse performance, demand, and competition across consistent geographic units. This enables organisations to benchmark regions, compare planning areas, and uncover spatial trends in customer behaviour or economic activity.
Location Data Enrichment
Enhance internal datasets by mapping customers, assets, or transactions to authoritative geographic boundaries. This creates a consistent spatial framework for reporting, analytics, and decision-making.
Audience Segmentation
Segment customers or audiences based on geographic regions or planning areas to enable more targeted marketing, service delivery, and resource allocation.
Demand Forecasting
Forecast demand at a regional or planning area level by aligning historical data with consistent geographic units. This supports more accurate planning for infrastructure, retail, and service delivery.
Risk Analysis
Assess geographic concentration risk by analysing exposure across regions and planning areas. This is particularly relevant for financial services, insurance, and infrastructure planning.
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