District 24
Lim Chu Kang, Tengah
Properties and insights for Singapore's District 24 — Lim Chu Kang, Tengah.
Avg PSF
$1,710
Min Price
$1.34M
Max Price
$2.37M
Transactions (24m)
1,101
Market & Investment Analysis
District 24 shows an investment appeal with a median PSF of $1,753 and a median price of $1,694,000, supported by a transaction volume of 599 units[1]. The region is classified as OCR with 599 transactions, indicating steady demand and supply dynamics in the Lim Chu Kang and Tengah area[1]. Top projects like OTTO PLACE ($1,753.677 psf, 468 txns) and COPEN GRAND ($1,341.165 psf, 454 txns) reflect consistent market activity and price trends[1].
Compare with Nearby Districts
| District | Avg PSF | Transactions (24m) | vs Current |
|---|---|---|---|
| D24 Lim Chu Kang, Tengah(current) | $1,710 | 1,101 | — |
| D23 Bukit Batok, Bukit Panjang | $1,581 | 2,281 | -8% |
| D22 Jurong, Boon Lay | $1,686 | 896 | -1% |
| D25 Woodlands, Admiralty | $1,501 | 838 | -12% |
PSF comparison based on private non-landed transactions in the last 24 months. Green = lower PSF than current district.
Top Condos & Private Projects
Recent Transactions
| Project | Price | PSF | Area (sqft) | Date |
|---|---|---|---|---|
| Otto Place | $1.65M | $1,740 | 947 | 2026-03-02 |
| Otto Place | $1.59M | $1,762 | 904 | 2026-02-28 |
| Otto Place | $1.72M | $1,817 | 947 | 2026-02-27 |
| Otto Place | $2.14M | $1,790 | 1,195 | 2026-02-27 |
| Otto Place | $1.67M | $1,745 | 958 | 2026-02-24 |
Lifestyle & Neighbourhood
The neighbourhood is anchored by key amenities including CHINESE GARDEN and BUKIT BATOK, providing accessible recreational and community facilities for residents[1]. These amenities support a neighbourhood character defined by practical connectivity and established public spaces in District 24[1].
Frequently Asked Questions
What is the median price in District 24?
How many transactions occurred in District 24?
What is the median PSF in District 24?
Which key amenities are available in District 24?
District analysis generated with AI assistance using real transaction data. Verify all figures independently before making decisions.