Taman Bukit Utama(Laman Oakleaf)

Laman Oakleaf, Jalan LO 2/1, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia

Property Transactions

2 subsales grouped by size · 2-Sty Terrace →

Median
RM 903,500
PSF
RM 431
Price Size
Period
transactions middle 50% (P25–P75)
2,100 sqft
2-Sty Terrace
RM 1,080,000
Jalan Lo 2/2
2,099 sqft · RM 515 PSF
RM 727,000
Jalan Lo 2/2
2,088 sqft · RM 348 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Bukit Utama(Laman Oakleaf)

What’s happening in Taman Bukit Utama(Laman Oakleaf)?

No posts about Taman Bukit Utama(Laman Oakleaf) yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 903,500

RM 431 psf

Median transaction price

Taman Bukit Utama(Laman Oakleaf)
© OpenStreetMap · CARTO

Laman Oakleaf, Jalan LO 2/1, Bukit Antarabangsa, 68000 Ampang, Selangor, Malaysia

Maps

Taman Bukit Utama(Laman Oakleaf) in Gombak, Selangor recorded 2 subsale transactions in 2021, with a median price of RM 904K and a median price per square foot (PSF) of RM 431.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 904K, with most transactions falling within a stable range of RM 727K to RM 1.08 million, and a typical market range of RM 805K to RM 1.00 million.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM 431, with core pricing between RM 348 and RM 515. Market pricing typically extends from RM 401.09 to RM 461.59, reflecting moderate variation in unit pricing. The spread of RM 60.50 (IQR) and deviation of RM 83 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.