Taman Muhibbah

43000 Kajang, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM400,000
Jalan 4
1,300 sqft · RM308 PSF
RM330,000
Jalan Muhibbah 10
1,300 sqft · RM254 PSF
1,400 sqft
Terrace
RM320,000
Jalan Muhibbah 10
1,400 sqft · RM229 PSF
RM398,000
Jalan Muhibbah 11
1,400 sqft · RM284 PSF
RM360,000
Jalan Muhibbah 10
1,400 sqft · RM257 PSF
RM340,000
Jalan Muhibbah 10
1,400 sqft · RM243 PSF
1,450 sqft
Terrace
RM360,000
Jalan Muhibbah
1,453 sqft · RM248 PSF
RM370,000
Jalan Muhibbah
1,453 sqft · RM255 PSF
RM450,000
Jalan Muhibbah
1,453 sqft · RM310 PSF
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Market Snapshot

Residential

RM360,000

RM255 psf

Median transaction price

Taman Muhibbah
© OpenStreetMap · CARTO

Taman Muhibbah, 43000 Kajang, Selangor, Malaysia

Maps

Taman Muhibbah in Hulu Langat, Selangor recorded 9 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM360K and a median price per square foot (PSF) of RM255.

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 RM360K, with most transactions falling within a stable range of RM322K to RM398K, and a typical market range of RM333K to RM387K.

Within the Single Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with minimal variety in property types.

The median PSF stands at RM255, with core pricing between RM228 and RM282. Market pricing typically extends from RM228.37 to RM280.87, reflecting moderate variation in unit pricing. With an IQR of RM52.50 and MAD of RM27, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.