Apartment Sri Goh Tong

Medan Selayang, 68100 Batu Caves, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 257,500
PSF
RM 297
Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM 240,000
Level 7
816 sqft · RM 294 PSF
RM 275,000
Level 21
816 sqft · RM 337 PSF
RM 230,000
Level 12
815 sqft · RM 282 PSF
RM 235,000
Level 8
816 sqft · RM 288 PSF
RM 230,000
Level 7
816 sqft · RM 282 PSF
RM 280,000
Level 20
816 sqft · RM 343 PSF
900 sqft
Condo
RM 276,000
Level 11
922 sqft · RM 299 PSF
1,100 sqft
Condo
RM 350,000
Level 12
1,095 sqft · RM 320 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 257,500

RM 297 psf

Median transaction price

Sri Gohtong
© OpenStreetMap · CARTO

Apartment Sri Goh Tong, Medan Selayang, 68100 Batu Caves, Selangor, Malaysia

Maps

Apartment Sri Goh Tong in Gombak, Selangor recorded 8 subsale transactions in 2022, with a median price of RM 258K and a median price per square foot (PSF) of RM 297.

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 258K, with most transactions falling within a stable range of RM 230K to RM 296K, and a typical market range of RM 235K to RM 280K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 297, with most transactions between RM 274 and RM 320. The usual range is RM 278.26 to RM 315.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 37.00 and an average deviation (MAD) of RM 23 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. 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.