Best Condos for Long-term hold (10+ yr) in District 25 (Kranji)

Persona Spotlight
Key Takeaways
  • Persona: Long-term hold (10+ yr)
  • District: 25 — Kranji, Woodgrove (OCR)
  • Editorial green matches in this district: 3
  • Showing top: 3 ranked by ShiokNest Score

Who this fits in District 25

10+ year hold horizon; prioritize capital preservation, location resilience, freehold preference.

District 25 (Kranji, Woodgrove) sits in the OCR market segment. The full editorial introduction, related calculators, and cross-segment fit signals for this persona are on the persona hub: /best-for/long-term-hold.

For a wider view of every Singapore condo that fits this persona (not just this district), see Top 10 Singapore Condos for Long-term hold (10+ yr).

Top 3 condos for Long-term hold (10+ yr) in District 25

  1. PARC ROSEWOOD · 689 units · ShiokNest Score 38 · 99 yrs lease commencing from 2
    Editorial fit for Long-term hold (10+ yr): Tenure and location resilience suit long-horizon ownership.
  2. NORWOOD GRAND · 348 units · ShiokNest Score 32 · 99 yrs lease commencing from 2
    Editorial fit for Long-term hold (10+ yr): Tenure and location resilience suit long-horizon ownership.
  3. BUKIT VILLAS · 22 units · ShiokNest Score 15
    Editorial fit: 'Own-stay buyers with 5–7 year horizon (pre-75-year cliff)'. Tenure and location resilience suit long-horizon ownership.

Live editorial picks for District 25

The list below refreshes whenever editorial pills change, so it can drift from the static top-3 bake above as new matches are seeded:

Methodology & Sources

This analysis covers Editorial green pills as of bake date and refreshes every month.

Transaction data sourced from URA REALIS.

  • Ranking: ShiokNest Score, then Investment Score, then alphabetical.
  • Source data: URA REALIS for transactions.
  • Persona vocabulary: 40-persona canonical list at /best-for.
  • Only green editorial fits are listed. Amber and red signals appear on the persona hub.

Median values used to minimise outlier impact. PSF = price per square foot.