Taman Gembira, Banting

Taman Gembira, 42700 Banting, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 350,000
PSF
RM 254
800 sqft
LC House
RM 350,000
Jalan Kiambang 5
825 sqft · RM 424 PSF
RM 250,000
Jalan Kiambang 5
825 sqft · RM 303 PSF
1,100 sqft
2-Sty Terrace
RM 280,000
Jalan Kiambang 7
1,076 sqft · RM 260 PSF
1,250 sqft
LC House
RM 300,000
Jalan Kiambang 8
1,259 sqft · RM 238 PSF
1,500 sqft
2-Sty Terrace
RM 380,000
Jalan Kiambang 1
1,496 sqft · RM 254 PSF
2,350 sqft
2-Sty Terrace
RM 400,000
Jalan Kiambang 2
2,357 sqft · RM 170 PSF
2,900 sqft
LC House
RM 400,000
Jalan Kiambang 14
2,919 sqft · RM 137 PSF
7
transactions

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Market Snapshot

Residential

RM 350,000

RM 238 psf

Median transaction price

Taman Gembira, Banting
© OpenStreetMap · CARTO

Taman Gembira, 42700 Banting, Selangor, Malaysia

Maps

Taman Gembira, Banting in Kuala Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 350K and a median price per square foot (PSF) of RM 254.

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 350K, with most transactions falling within a stable range of RM 300K to RM 400K, and a typical market range of RM 300K to RM 400K.

Most transactions involved low-cost house, though some variety exists in the market.

For price per square foot, the median is RM 254, with most transactions between RM 235 and RM 273. The usual range is RM 232.23 to RM 275.73, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 43.50 and an average deviation (MAD) of RM 19 indicate a highly stable PSF trend across properties.

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.