Residensi Sejati

Kampung Bukit Tengah, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

5 subsales grouped by size · Condo →

Median
RM 500,000
PSF
RM 418
Price Size
1,100 sqft
Condo
RM 550,000
Level 10
1,109 sqft · RM 496 PSF
1,200 sqft
Condo
RM 500,000
Level 8
1,184 sqft · RM 422 PSF
RM 440,000
Level 8
1,195 sqft · RM 368 PSF
RM 500,000
Level 8
1,195 sqft · RM 418 PSF
2,350 sqft
2-Sty Terrace
RM 930,000
Lorong Residensi Sejati 3
2,325 sqft · RM 400 PSF
Legend Recent Highest Price Highest PSF

Posts about Residensi Sejati

What’s happening in Residensi Sejati?

No posts about Residensi Sejati yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 500,000

RM 418 psf

Median transaction price

Loading map...

Kampung Bukit Tengah, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Residensi Sejati in Seberang Perai Tengah, Penang recorded 5 subsale transactions in 2023, with a median price of RM 500K and a median price per square foot (PSF) of RM 418.

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 500K, with most transactions falling within a stable range of RM 440K to RM 676K, and a typical market range of RM 440K to RM 866K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

The median PSF stands at RM 418, with core pricing between RM 376 and RM 461. Market pricing typically extends from RM 402.23 to RM 434.73, reflecting moderate variation in unit pricing. With an IQR of RM 32.50 and MAD of RM 42, the PSF demonstrates reasonable consistency across the market.

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.