3 Residence

Lbh Sungai Pinang 1, 11600 Jelutong, Pulau Pinang, Malaysia

Property Transactions

15 subsales grouped by size

Median
RM 670,000
PSF
RM 783
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Condo
RM 680,000
Level 45
850 sqft · RM 800 PSF
RM 710,000
Level 15
850 sqft · RM 835 PSF
RM 700,000
Level 26
850 sqft · RM 823 PSF
RM 670,000
Level 28
850 sqft · RM 788 PSF
RM 660,000
Level 41
850 sqft · RM 776 PSF
RM 655,000
Level 42
850 sqft · RM 770 PSF
+6 more
1,050 sqft
Condo
RM 820,000
Level 18
1,033 sqft · RM 794 PSF
RM 830,000
Level 31
1,033 sqft · RM 803 PSF
RM 800,000
Level 33
1,033 sqft · RM 774 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 670,000

RM 783 psf

Median transaction price

Average

Rental Yield Data

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3 Residence
© OpenStreetMap · CARTO

Lbh Sungai Pinang 1, 11600 Jelutong, Pulau Pinang, Malaysia

Maps

3 Residence in Timur Laut, Penang recorded 15 subsale transactions in 2023, with a median price of RM 670K and a median price per square foot (PSF) of RM 783.

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 670K, with most transactions falling within a stable range of RM 596K to RM 744K, and a typical market range of RM 620K to RM 720K.

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

For price per square foot, the median is RM 783, with most transactions between RM 739 and RM 828. The usual range is RM 759.71 to RM 806.71, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 47.00 and an average deviation (MAD) of RM 44 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.