Lease Decay Impact

published

Updated: Wed Feb 04 2026 00:00:00 GMT+0000 (Coordinated Universal Time)

Lease Decay Impact

Analysis Date: 2026-02-04
Data Period: 2017-2026
Property Type: HDB resale

Key Takeaways

The clearest finding

Lease decay is non-linear. The steepest market discount does not appear only in the oldest flats; it concentrates around the 70-80 year lease band, where prices are about 21.9% below the 90+ year baseline.

Why this matters

  • Buyers can find meaningful value in the 60-70 year band, which combines deep discounts with the highest transaction volume.
  • Sellers of 90+ year flats benefit from the market’s strongest pricing preference.
  • Investors should not rely on straight-line depreciation assumptions for hold-period planning.

Core Findings

1. The market discounts lease bands unevenly

Lease BandAvg Remaining YearsMedian PriceMedian PSFDiscount vs 90+ yrsTransactions
90+ years93.5 years$558,000$6,205baseline50,912
80-90 years84.6 years$520,000$5,389-13.2%29,562
70-80 years75.4 years$548,000$4,845-21.9%47,044
60-70 years64.6 years$446,000$4,730-23.8%54,521
<60 years54.5 years$390,000$5,274-15.0%41,595

What stands out

  • The 70-80 year band has the sharpest market penalty.
  • The 60-70 year band is the market’s main value bucket: heavily discounted, but still liquid.
  • The <60 year group is not the cheapest on a PSF basis, which suggests location mix still matters a lot.

2. The 60-70 year band is the main trade-off zone

This is the band where price relief and market liquidity overlap most clearly.

MetricValueWhy it matters
Discount vs 90+ years-23.8%Large entry-price reduction
Share of transactions24.4%Resale market remains active
Pure lease effect+$54.75 PSF per extra yearLease still has measurable pricing power

Impact

  • For owner-occupiers with a long but finite holding period, this band can offer better value than near-new stock.
  • For investors, liquidity is better than many buyers expect, but financing rules still matter.

3. Lease decay interacts with location

The same lease gap can price very differently across towns.

TownShort Lease (PSM)Fresh Lease (PSM)Discount %
CLEMENTI$5,224$8,79640.6%
TOA PAYOH$4,939$8,18239.6%
QUEENSTOWN$5,526$9,04838.9%
WOODLANDS$4,262$4,5446.2%
JURONG WEST$4,496$4,5160.4%
PASIR RIS$5,621$4,676-20.2%

Impact

  • In mature central towns, shorter leases are usually penalized heavily.
  • In some suburban towns, location and town-level desirability can offset or even outweigh lease penalties.
  • Buyers should compare lease discounts within the same town, not only across Singapore-wide averages.

Decision Guide

For first-time buyers

  • Do not rule out 60-70 year flats automatically.
  • Check CPF and financing constraints early.
  • Compare the discount you are getting against the actual years of lease you are giving up.

For investors

  • Prioritize discounted lease bands only where liquidity is proven and town-level demand is stable.
  • Avoid assuming older lease automatically means underpriced.

For upgraders

  • Selling a 90+ year flat can crystallize the market’s strongest lease premium.
  • Buying into a shorter lease can be rational if it unlocks a better location without a full central premium.

Technical Appendix

Data Used

  • Primary input: data/parquets/L1/housing_hdb_transaction.parquet
  • Sample: 223,634 HDB transactions, 2017-2026, lease range 30-99 years
  • Advanced input: data/parquets/L3/housing_unified.parquet for multivariate hedonic regression

Methodology

  • Lease bands: bins [0, 60, 70, 80, 90, 100], labels [<60, 60-70, 70-80, 80-90, 90+]
  • Remaining lease years: remaining_lease_months / 12
  • Price statistics: median resale_price and price_per_sqm by band
  • Discount to 90+ baseline: (baseline_psm - band_psm) / baseline_psm × 100
  • Annual decay rate: linear approximation from discount vs years elapsed
  • Town-level comparison: short lease (<70 yr) vs fresh lease (90+ yr) median PSM within same town
  • Hedonic regression (advanced): Price = β₀ + β₁(Lease) + β₂(FloorLevel) + β₃(DistToMRT) + β₄(Town) + ε
  • Policy threshold analysis: Mann-Whitney U tests at 60-yr and 30-yr marks
  • Bala’s curve validation: empirical vs theoretical depreciation, ≥5% deviation flagged

Technical Findings

  • 90+ year band: 50,912 transactions, median 558,000,medianPSM558,000, median PSM 6,205
  • 70-80 yr band: 47,044 transactions, -21.9% discount (steepest penalty)
  • 60-70 yr band: 54,521 transactions, -23.8% discount (deepest, highest volume)
  • Pure lease effect: +$54.75 PSF per extra year (after controlling for town, floor level, MRT distance)
  • Town variation: Clementi -40.6%, Toa Payoh -39.6%, Woodlands -6.2%, Pasir Ris +20.2% (inverted)
  • 60-yr policy threshold: measurable “liquidity tax” between 61-yr and 59-yr leases (CPF restriction)
  • Spline-based arbitrage: identifies BUY/SELL/HOLD signals at lease years where market deviates ≥5% from theoretical Bala curve

Conclusion

The data confirms non-linear lease decay. The 70-80 yr band shows the steepest penalty (not the oldest flats), while the 60-70 yr band offers the deepest absolute discount with strong liquidity. The pure lease effect of +$54.75 PSF/year is robust after multivariate controls. Town-level heterogeneity is extreme: central mature towns penalize short leases heavily (Clementi -40.6%), while some suburban towns show minimal or even inverted discounts, likely due to location desirability offsetting lease age. Key limitations: renovation condition, HIP timing, and block-level maintenance are not fully captured; financing rules shrink the buyer pool for shorter leases.

Scripts

  • scripts/analytics/analysis/market/analyze_lease_decay.py — Lease banding, price statistics, decay rates
  • scripts/analytics/analysis/market/analyze_lease_decay_advanced.py — Hedonic regression, Bala curve validation, spline arbitrage, policy thresholds