Taman Batu Tiga

40150 Shah Alam, Selangor, Malaysia

No Transactions Found

We couldn't find any transactions matching your current filters in Taman Batu Tiga.

Adjust Your Filters

Clear All Filters

Selling in Taman Batu Tiga? Homes here sold for a median of RM345,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

New Launches in Selangor

View all

Posts about Taman Batu Tiga

What’s happening in Taman Batu Tiga?

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

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Pekan Batu Tiga

Property News

More property news →

Market Snapshot

Residential

RM345,000

RM324 psf

Median transaction price

Loading map...

Taman Batu Tiga, 40150 Shah Alam, Selangor, Malaysia

Maps

Taman Batu Tiga in Petaling, Selangor recorded 0 subsale transactions in 2025, with a median price of RM345K and a median price per square foot (PSF) of RM324.

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 RM345K, with most transactions falling within a stable range of RM263K to RM428K, and a typical market range of RM270K to RM420K.

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

For price per square foot, the median is RM324, with most transactions between RM294 and RM354. The usual range is RM296.88 to RM351.13, showing that most units are priced quite close to each other. With an IQR of RM54.25 and MAD of RM30, the PSF demonstrates reasonable consistency across the market.

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.