Taman Subang Indah

Jalan PJS 11/2, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia

Property Transactions

5 subsales grouped by size · 2-Sty Terrace →

Median
RM 720,000
PSF
RM 538
Price Size
750 sqft
Flat
RM 100,000
Level 1A
726 sqft · RM 138 PSF
1,050 sqft
2-Sty Terrace
RM 600,000
Jalan PJS 10/7A
1,033 sqft · RM 581 PSF
1,500 sqft
2-Sty Terrace
RM 817,000
Jalan PJS 10/10
1,518 sqft · RM 538 PSF
RM 1,100,000
Jalan PJS 10/10
1,518 sqft · RM 725 PSF
RM 720,000
Jalan PJS 10/8
1,518 sqft · RM 474 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 720,000

RM 538 psf

Median transaction price

Taman Subang Indah PJS 10
© OpenStreetMap · CARTO

Taman Subang Indah, Jalan PJS 11/2, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia

Maps

Taman Subang Indah in Petaling, Selangor recorded 5 subsale transactions in 2022, with a median price of RM 720K and a median price per square foot (PSF) of RM 538.

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 720K, with most transactions falling within a stable range of RM 392K to RM 1.05 million, and a typical market range of RM 600K to RM 840K.

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 538, though individual units vary from RM 343 to RM 733 in the core range. The broader market spans RM 438.31 to RM 638.31, indicating diverse property characteristics. A wider spread (IQR: RM 200.00) and deviation (MAD: RM 195) 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.