Brown Garden

21, Jalan Endah, Taman Brown, 11700 Gelugor, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 837,500
PSF
RM 650
Price Size
1,150 sqft
2-Sty Terrace
RM 850,000
Tingkat Permai
1,130 sqft · RM 752 PSF
1,350 sqft
2-Sty Terrace
RM 1,000,000
Solok Permai
1,345 sqft · RM 743 PSF
1,450 sqft
2-Sty Terrace
RM 815,000
Lintang Permai 2
1,464 sqft · RM 557 PSF
1,550 sqft
2-Sty Terrace
RM 825,000
Lintang Permai 4
1,539 sqft · RM 536 PSF
Legend Recent Highest Price Highest PSF

Posts about Brown Garden

Log in to post about Brown Garden

No posts about Brown Garden yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 837,500

RM 650 psf

Median transaction price

Loading map...

21, Jalan Endah, Taman Brown, 11700 Gelugor, Pulau Pinang, Malaysia

Maps

Brown Garden in Timur Laut, Penang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 838K and a median price per square foot (PSF) of RM 650.

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 838K, with most transactions falling within a stable range of RM 815K to RM 912K, and a typical market range of RM 815K to RM 873K.

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

The median PSF stands at RM 650, with core pricing between RM 549 and RM 751. Market pricing typically extends from RM 577.25 to RM 722.50, reflecting moderate variation in unit pricing. The spread of RM 145.25 (IQR) and deviation of RM 101 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.