Taman Sungai Sering

Pekan Batu 9 Cheras, 43200 Cheras, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM480,000
PSF
RM338
Price Size
Period
transactions middle 50% (P25–P75)
RM540,000
Level 9
1,421 sqft RM380 PSF
RM485,000
Level 16
1,421 sqft RM341 PSF
RM470,000
Level 10
1,421 sqft RM331 PSF
RM465,000
Level 9
1,421 sqft RM327 PSF
RM510,000
Level 10
1,421 sqft RM359 PSF
RM430,000
Level 8
1,421 sqft RM303 PSF
RM480,000
Level 7
1,421 sqft RM338 PSF
RM480,000
Level 8
1,421 sqft RM338 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM480,000

RM338 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 8 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM480K and a median price per square foot (PSF) of RM338.

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 RM480K, with most transactions falling within a stable range of RM450K to RM510K, and a typical market range of RM430K to RM540K.

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

For price per square foot, the median is RM338, with most transactions between RM317 and RM359. The usual range is RM317.33 to RM358.33, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.00 and an average deviation (MAD) of RM21 indicate a highly stable PSF trend across properties.

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.