HDB vs Private

Public vs private housing distribution

HDB vs Private: The Upgrader Pathway

Key Takeaways

  • Map data is refreshed from URA, HDB and OneMap APIs — hover any marker for live values.
  • Use the filter panel to narrow results by district, bedroom type, price range, or tenure.
  • Click any marker or polygon to drill down into the underlying property or area detail.

What It Does

This map compares HDB resale prices (blue markers) with private condo median prices (red markers) across Singapore. The "price gap" view highlights where the HDB-to-condo upgrade is most affordable — a critical analysis for the ~80% of Singapore households that live in HDB flats.

Why It Matters

Narrowest Price Gaps

Towns where the HDB-to-condo gap is smallest (often 1.5-2x multiplier) include Jurong (D22), Woodlands (D25-26), and Sembawang (D27). These areas have seen OCR condo prices stay relatively affordable while HDB resale prices have climbed. In contrast, central towns like Queenstown and Bishan can see 3-4x multipliers — making the upgrade significantly harder.

Upgrader Strategy

  • Sell high, buy value: If your HDB is in a mature estate with strong resale value, use the equity to enter a condo in a neighbouring OCR district.
  • ABSD advantage: Singapore citizens pay 0% ABSD on their first property. After selling HDB, the condo purchase is ABSD-free.
  • Timing: Consider the 5-year MOP for your current HDB and the 3-4 year wait for new launch TOP when planning your upgrade timeline.

How It Works

  • Pan and zoom to the area of Singapore you are interested in.
  • Use the filter panel to narrow results by district, bedroom type, or price range.
  • Hover any marker or polygon for a tooltip with exact values.
  • Click a marker to open the underlying property or area detail page.

Examples

D12 upgrade analysis: finding the cheapest private entry point near your HDB

Inputs
Current HDB
Toa Payoh 5-room, estimated value $720,000
Layer
HDB vs Private price gap
Target area
D12 (Toa Payoh / Novena)
Budget
Upgrade to private condo ≤ $1.5M
Results
D12 HDB avg (5-room)
~$720,000
D12 private median
~$1,380,000
Upgrade gap
~$660,000
Feasibility
Achievable with ~$200K cash + CPF proceeds

How to read this: The price gap layer highlights D12 as one of the narrower upgrade gaps in the central region — the distance between blue (HDB) and red (private) markers is smaller than in D9/D10. An upgrader selling a $720K 5-room HDB nets approximately $420K after CPF return and loan repayment, leaving a $240K shortfall to the $1.38M private median. This is the financial viability check at a glance — pair with the HDB Upgrade Advisor for the full CPF accrued interest calculation before committing.

D18 vs D21: finding the narrowest HDB-to-condo gap in OCR for budget upgraders

Inputs
Layer
Price gap (private minus HDB)
Focus
D18 (Tampines/Pasir Ris) vs D21 (Upper Bukit Timah/Clementi)
Flat type
4-room HDB benchmark
Goal
Identify smallest upgrade quantum in OCR
Results
D18 gap (4-room → condo)
~$640,000
D21 gap (4-room → condo)
~$580,000
Narrowest OCR gap found
D21 — Clementi condos priced near OCR median

How to read this: D21 emerges as the narrowest OCR gap on the map because Clementi condos, despite having excellent MRT connectivity and school catchment, are priced modestly relative to the CCR. An upgrader from a 4-room Clementi HDB faces a smaller quantum gap than in most OCR districts. The map makes this comparison immediate — scanning the colour gradient across OCR districts identifies D21 without needing to cross-reference individual listings. Confirm with the transaction volume indicator to ensure D21 private market is liquid enough to support a purchase.

Tips & Pitfalls

Expert Tips

  • Zoom out first to spot macro patterns before diving into individual districts.
  • Compare this map against the rental yield map to find high-demand, low-price outliers.
  • Use the legend to understand colour encoding — the same colour can mean different things on different maps.

Common Pitfalls

  • Judging a district by headline colour alone — the underlying sample size varies wildly across Singapore.
  • Confusing median with mean when both are shown — means are skewed by luxury outliers.
  • Forgetting that new-launch prices are discounted — resale prices are a better benchmark for fair value.

Frequently Asked Questions

Where does the map data come from?
Data is sourced from URA (Urban Redevelopment Authority), HDB, OneMap, and official Singapore government APIs, refreshed monthly.
How often is the map updated?
Transaction-based maps refresh monthly as URA and HDB publish new data. Planning layers (Master Plan, GLS) update as gazetted.
Can I filter by district or bedroom type?
Yes — use the filter panel on the map. Filter state is preserved in the URL so you can share a deep link to a specific view.