Taman Bakti

Jln Bandar, Taman Melawati, 53100 Ampang, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM 600K
Size
800 sqft

Property Transactions

2 subsales grouped by size · LC Flat →

Median
RM 420,000
PSF
RM 600
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC House
RM 490,000
Jalan Jujur 2/1
700 sqft · RM 700 PSF
RM 350,000
Jalan Jujur 3/1
700 sqft · RM 500 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Bakti

What’s happening in Taman Bakti?

No posts about Taman Bakti yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 420,000

RM 600 psf

Median transaction price

Loading map...

Jln Bandar, Taman Melawati, 53100 Ampang, Selangor, Malaysia

Maps

Taman Bakti in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM 420K and a median price per square foot (PSF) of RM 600.

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 420K, with most transactions falling within a stable range of RM 350K to RM 490K, and a typical market range of RM 350K to RM 490K.

Most transactions involved low-cost flat, with moderate diversity in property types available.

The median PSF stands at RM 600, with core pricing between RM 500 and RM 700. Market pricing typically extends from RM 498.80 to RM 701.80, reflecting moderate variation in unit pricing. The spread of RM 203.00 (IQR) and deviation of RM 100 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.