Taman Sepakat

15, Taman Sepakat, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM385,000
Jalan Kulim
1,400 sqft · RM275 PSF
RM370,000
Jalan Kulim
1,400 sqft · RM264 PSF
1,600 sqft
2-Sty Terrace
RM470,000
Jalan Sepakat
1,604 sqft · RM293 PSF
RM425,000
Jalan Sepakat
1,604 sqft · RM265 PSF
RM500,000
Lorong Sepakat 3
1,604 sqft · RM312 PSF
RM580,000
Lorong Sepakat 3
1,604 sqft · RM362 PSF
1,650 sqft
2-Sty Shop
RM500,000
Lorong Sepakat 1
1,658 sqft · RM302 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM447,500

RM290 psf

Median transaction price

Taman Sepakat
© OpenStreetMap · CARTO

15, Taman Sepakat, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Sepakat in Seberang Perai Tengah, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM470K and a median price per square foot (PSF) of RM293.

This area contains both residential and commercial properties. View 6 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM470K, with most transactions falling within a stable range of RM425K to RM515K, and a typical market range of RM423K to RM518K.

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

For price per square foot, the median is RM293, with most transactions between RM267 and RM319. The usual range is RM267.75 to RM318.25, showing that most units are priced quite close to each other. With an IQR of RM50.50 and MAD of RM26, the PSF demonstrates reasonable consistency across the market.

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.