Taman Sungai Sering

Pekan Batu 9 Cheras, 43200 Cheras, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM315,000
PSF
RM345
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM137,000
Level 2
667 sqft · RM205 PSF
800 sqft
Flat
RM260,000
Level 5
818 sqft · RM318 PSF
RM320,000
Level 2
818 sqft · RM391 PSF
RM310,000
Level 4
818 sqft · RM379 PSF
1,000 sqft
Condo
RM345,000
Level 5
980 sqft · RM352 PSF
1,400 sqft
Condo
RM480,000
Level 7
1,421 sqft · RM338 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sungai Sering? Homes here sold for a median of RM315,000.

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Market Snapshot

Residential

RM315,000

RM345 psf

Median transaction price

Taman Sungai Sering
© OpenStreetMap · CARTO

Pekan Batu 9 Cheras, 43200 Cheras, Selangor, Malaysia

Maps

Taman Sungai Sering in Hulu Langat, Selangor recorded 6 subsale transactions in 2022, with a median price of RM315K and a median price per square foot (PSF) of RM345.

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 RM315K, with most transactions falling within a stable range of RM213K to RM417K, and a typical market range of RM217K to RM414K.

Most transactions involved condominium/apartment, with high diversity across multiple property types.

The median PSF stands at RM345, with core pricing between RM284 and RM406. Market pricing typically extends from RM324.52 to RM365.52, reflecting moderate variation in unit pricing. The spread of RM41.00 (IQR) and deviation of RM61 (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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.