DATA
Cadastre - Boundaries & Attributes
SINGAPORE
Authoritative Singapore cadastre dataset combining URA Master Plan land use zoning, building footprints, and development density attributes.
Source:
Urban Redevelopment Authority (URA) Master Plan
Access:
Free, unlimited access
Data is hosted exclusively on the Snowflake Marketplace.
Description
This dataset provides a comprehensive view of Singapore’s cadastre boundaries and planning attributes, sourced from the Urban Redevelopment Authority (URA) Master Plan. As Singapore’s statutory land use plan, the Master Plan outlines how land is allocated and developed over a 10 to 15-year horizon, translating long-term strategic objectives into detailed, actionable zoning and development controls. Updated every five years, it serves as a critical reference for understanding permissible land use, development intensity, and urban planning direction across the country.
The dataset includes key spatial layers such as building footprints and land use zoning. The building layer captures indicative outlines and classifications of structures, while the land use layer defines zoning designations alongside Gross Plot Ratio (GPR) values, a key metric governing development density and allowable floor area.
Details
Category
Geospatial
Geographic Coverage
Singapore (by Latitude and Longitude)
Refreshes
Annually
Access
Free, unlimited access
Schemas available
- SG_CADASTRE_FREE
Tables available
- BUILDING_LAYER
- LAND_USE_LAYER
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
Asset Valuation
Leverage zoning designations and Gross Plot Ratio (GPR) to accurately assess land and property value based on development potential. This enables valuers, investors, and lenders to move beyond current state assessments and price assets based on their highest and best use.
Location Planning
Identify optimal sites for development, investment, or expansion by understanding permissible land use, density constraints, and surrounding built form. This is critical for developers, retailers, and infrastructure planners making high-stakes location decisions.
Market Analysis
Analyse urban structure and land supply dynamics across Singapore, including residential, commercial, and mixed-use zones. The dataset enables organisations to uncover growth areas, monitor planning changes, and assess competitive positioning within specific precincts.
Location Data Enrichment
Enhance internal datasets with authoritative cadastre boundaries, building footprints, and planning attributes. This improves spatial accuracy and unlocks deeper insights across customer, property, and operational data.
Risk Analysis
Evaluate regulatory and development risk by understanding zoning restrictions, allowable density, and planning constraints. This is particularly valuable for financial institutions, developers, and investors assessing feasibility and compliance exposure.
Demand Forecasting
Anticipate future demand by analysing planned land use and development intensity. GPR and zoning signals provide early indicators of population growth, commercial activity, and infrastructure needs, supporting forward-looking investment and resource planning.
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