Taman Serendah

45200 Sabak, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 558,000
PSF
RM 169
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
LC House
RM 125,000
Jalan Serendah 3
829 sqft · RM 151 PSF
1,200 sqft
LC House
RM 200,000
Jalan Teratai
1,195 sqft · RM 167 PSF
3,300 sqft
2-Sty Terrace
RM 590,000
Jalan Serendah 7
3,294 sqft · RM 179 PSF
RM 590,000
Jalan Serendah 7
3,294 sqft · RM 179 PSF
RM 290,000
Jalan Serendah 7
3,294 sqft · RM 88 PSF
RM 588,000
Jalan Serendah 7
3,294 sqft · RM 179 PSF
RM 558,000
Jalan Serendah 7
3,294 sqft · RM 169 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 558,000

RM 169 psf

Median transaction price

Taman Serendah
© OpenStreetMap · CARTO

Taman Serendah, 45200 Sabak, Selangor, Malaysia

Maps

Taman Serendah in Sabak Bernam, Selangor recorded 7 subsale transactions in 2022, with a median price of RM 558K and a median price per square foot (PSF) of RM 169.

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 558K, with most transactions falling within a stable range of RM 366K to RM 590K, and a typical market range of RM 363K to RM 590K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM 169, with core pricing between RM 139 and RM 200. Market pricing typically extends from RM 68.91 to RM 269.91, reflecting moderate variation in unit pricing. The spread of RM 201.00 (IQR) and deviation of RM 30 (MAD) suggest moderate price variations reflecting different property features.

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.