Disclaimer (Block 1): This article is for educational purposes only and is intended to assist CEA-registered property agents in understanding regulatory frameworks. It does not constitute financial, tax, or legal advice. LEVR's calculations are indicative only. Always verify rates and eligibility with your bank, HDB, CPF Board, or a licensed financial advisor before advising clients.
Why Data Access Defines Professional Advice
Clients who come to a CEA-registered agent expect more than a list of available properties — they expect an agent who has done the research. Pricing advice that is grounded in actual transaction data, not just portal asking prices, is the clearest differentiator between an agent who is guessing and one who is advising. Singapore has an unusually rich public data ecosystem for property transactions, and agents who know how to access and interpret this data deliver materially better service.
This guide covers the primary data sources available to Singapore property agents — free government databases, agency-provided platforms, and commercial data services — and how each is best used.
URA REALIS — The Authoritative Transaction Database
The Urban Redevelopment Authority's Real Estate Information System (REALIS) is the most authoritative source of private residential transaction data in Singapore. REALIS contains caveats lodged by buyers of private residential, commercial, and industrial properties. Each caveat record includes the property address, unit number (for strata properties), transacted price, transaction date, floor area, and calculated price per square foot.
REALIS access is subscription-based for professional use. A monthly subscription gives agents access to the full transaction history, searchable by project, district, street, or date range. For agents who need to research a specific development's transaction history in depth — for pricing a new listing or advising a buyer — REALIS provides the most complete picture.
Key uses for agents:
- Comparable transaction analysis (CTA): Search for completed transactions in the same development or street over the past three to twelve months, filtered by floor level and unit size, to establish a price range for a subject property.
- Rental transaction data: REALIS also contains rental caveat data for private properties, enabling gross and net yield calculations for investment analysis.
- Developer sales data: New launch transactions are captured in REALIS within days of the caveat being lodged, giving agents near-real-time visibility into developer sales rates and pricing movements.
HDB Resale Flat Prices — Public Data on Data.gov.sg
For HDB resale transactions, the Housing & Development Board publishes complete resale transaction data through Data.gov.sg — Singapore's open government data platform. The dataset is updated monthly and includes every HDB resale transaction: town, flat type (2-room to 5-room, executive), storey range, floor area (sqm), remaining lease at point of sale, resale price, and transaction month.
This dataset is free and downloadable in CSV format. Agents who are comfortable with spreadsheet analysis can download the full dataset and filter by town, flat type, and storey range to build precise comparable analysis for HDB resale listings. The data goes back to 1990, enabling long-run price trend analysis for clients interested in historical context.
For agents without data analysis skills, the same data is surfaced through platforms such as SRX, EdgeProp, PropertyGuru Research, and the HDB website's own resale flat prices search page, which allows simple searches without downloading the full dataset.
SRX Property — Agent-Oriented Market Intelligence
SRX (Singapore Real Estate Exchange) is a platform primarily oriented toward property professionals. It aggregates listing data from multiple agencies and publishes monthly flash estimates of HDB and private property price movements — often ahead of URA's official quarterly data release. SRX is widely cited in media coverage of Singapore property market trends.
For agents, SRX's X-Value tool provides automated valuation estimates for specific properties, using a model trained on recent transaction data. These estimates are a starting point for pricing discussions, not a substitute for a professional CTA. Key uses:
- Automated valuation estimate (X-Value) as a first reference point for a seller's asking price discussion.
- Monthly market reports for specific districts and flat types — useful for client presentations.
- Historical price trend charts for individual projects or HDB estates.
EdgeProp Singapore — Development-Level Analytics
EdgeProp is a property media and data platform that combines editorial content with transaction analytics. Its database includes private property transactions from REALIS, HDB resale data, and rental transactions. EdgeProp's development profile pages are particularly useful for agents researching a specific condominium project: they show all historical transactions, price trends by floor, and rental yields.
EdgeProp also publishes a "Best Buy Index" and district-level heat maps that some agents use for identifying relative value across Singapore's private residential market. For client-facing presentations, EdgeProp's pre-built charts and tables are easier to share than raw REALIS data.
PropertyGuru and 99.co — Listing Data and Market Trends
PropertyGuru and 99.co are Singapore's two largest consumer-facing property portals. While primarily listing platforms, both publish market research features:
- PropertyGuru Research: Quarterly Singapore Property Market Report with district-level price indices, supply data, and mortgage rate trends. Available free on the PropertyGuru website.
- 99.co Market Insights: Project-level transaction history aggregated from URA and HDB data, plus rental estimates for specific unit types.
For agents, portal data is most useful for understanding asking price ranges and market sentiment — the gap between listing prices and transacted prices is itself a data point that informs negotiation. Agents who track the time-on-market for listings in their target districts develop an intuitive sense of pricing accuracy before running formal data queries.
URA Development Control and Planning Data
Beyond transaction data, agents benefit from URA's planning and development control resources:
- URA SPACE (OneMap): Maps showing Master Plan zoning, plot ratios, gross floor area allowed, and historical development approvals. Essential for advising on landed property and redevelopment potential.
- URA Master Plan 2025: The latest Master Plan shows long-term land use allocations — agents advising clients on property near future infrastructure, new MRT stations, or rezoned areas should reference this for upgrade potential arguments.
- URA Development Charge tables: For clients considering redevelopment or addition and alteration (A&A) works, development charge rates are published by URA and updated periodically.
Building a Research Workflow
Effective agents standardise their research workflow so they can produce accurate market analysis quickly. A practical workflow for pricing a private resale listing:
- Pull last 12 months of same-project transactions from REALIS or SRX, filtered by comparable unit size (within 10% of subject unit's floor area) and storey band (same 5-storey range if possible).
- Calculate the per-square-foot (PSF) range for the filtered set — identify outliers and investigate whether they reflect special circumstances (distressed sale, renovated vs. bare unit, sea view vs. pool view).
- Adjust the subject unit's expected PSF for distinguishing factors: floor level premium (roughly 0.5–1% per floor in most Singapore developments), view premium or discount, renovation status, and remaining lease (for leasehold properties).
- Cross-check against current active listings on PropertyGuru and 99.co — if asking prices are significantly above the transaction PSF range, flag this to the seller client as market context.
- Present findings as a two to three page CTA document: subject unit description, filtered transaction set, PSF analysis, indicative price range, and recommended listing price with rationale.
Frequently Asked Questions
Q: Is URA REALIS free for property agents?
A: URA REALIS is a subscription service for professional use. Individual transaction searches are available free through URA's website (the Private Residential Property Transactions search), but the full REALIS subscription — which gives access to rental data, broader filtering, and commercial property transactions — requires a paid subscription. Many larger agencies provide REALIS access to their agents as part of their platform subscription. Agents should check what their agency provides before subscribing independently.
Q: Where can I find HDB resale transaction data for free?
A: Complete HDB resale transaction data is published free on Data.gov.sg — Singapore's open government data platform. The dataset is updated monthly and includes all transactions since 1990. HDB also publishes a resale flat prices search on the HDB website that allows simple searches by town and flat type without downloading the full dataset. SRX, EdgeProp, and the property portals also aggregate this data in more user-friendly interfaces.
Q: How current is URA caveat data?
A: Caveats must be lodged within 14 days of the OTP being exercised, but in practice lodgement sometimes occurs later. The result is that the most recent transactions visible on REALIS may be 4 to 8 weeks behind real-time market conditions. For rapidly moving markets, supplement caveat data with current listing price analysis and direct agent-to-agent market intelligence. Always disclose the data date range when presenting comparable analysis to clients.
Q: What is a comparable transaction analysis (CTA) and why does it matter?
A: A comparable transaction analysis (CTA) is a structured review of recent completed transactions for properties similar to the subject property — same development, similar floor area, comparable floor level — used to establish a market price range. It is the primary tool for pricing a property accurately. Agents who present a well-constructed CTA demonstrate market expertise and give sellers a data-grounded basis for pricing decisions, rather than relying on anecdote or asking price comparisons from portals.
Disclaimer (Block 3): LEVR's calculator outputs are estimates based on inputs provided and current regulatory parameters as known at time of publication. They are not a guarantee of borrowing capacity, stamp duty liability, or CPF eligibility. Regulatory thresholds and rates may change. Always verify with IRAS, your bank, or a licensed financial advisor before making financial decisions.