Taman Selayang Jaya

Batu Caves, Selangor, Malaysia

Property Transactions

2 subsales grouped by size · 2-Sty Terrace →

Median
RM 490,000
PSF
RM 482
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM 310,000
Level G
861 sqft · RM 360 PSF
1,100 sqft
2-Sty Terrace
RM 670,000
Jalan Sj 18
1,109 sqft · RM 604 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Selayang Jaya

What’s happening in Taman Selayang Jaya?

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

Market Snapshot

Residential

RM 490,000

RM 482 psf

Median transaction price

Low

Rental Yield Data

Available with List.my Plus.

Unlock Access
Taman Selayang Jaya
© OpenStreetMap · CARTO

Taman Selayang Jaya, Batu Caves, Selangor, Malaysia

Maps

Taman Selayang Jaya in Gombak, Selangor recorded 2 subsale transactions between 2021 and 2026, with a median price of RM 490K and a median price per square foot (PSF) of RM 482.

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 490K, with most transactions falling within a stable range of RM 310K to RM 670K, and a typical market range of RM 425K to RM 555K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM 482, though individual units vary from RM 360 to RM 604 in the core range. The broader market spans RM 412.91 to RM 551.41, indicating diverse property characteristics. A wider spread (IQR: RM 138.50) and deviation (MAD: RM 122) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.