Taman Nusa Cinta (Setia Fontaines)

8, Jalan Nusa Cinta 4, Bandar Setia Fontaines, 13200 Kepala Batas, Pulau Pinang, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 692,500
PSF
RM 260
Price Size
Period
transactions middle 50% (P25–P75)
RM 695,000
Jalan Nusa Cinta 2
2,239 sqft · RM 310 PSF
RM 690,000
Jalan Nusa Cinta 12
2,239 sqft · RM 308 PSF
2,600 sqft
Semi-D
RM 551,000
Jalan Nusa Cinta 11
2,594 sqft · RM 212 PSF
4,200 sqft
Bungalow
RM 786,000
Jalan Nusacinta 6
4,198 sqft · RM 187 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 692,500

RM 260 psf

Median transaction price

Taman Nusa Cinta (Setia Fontaines)
© OpenStreetMap · CARTO

8, Jalan Nusa Cinta 4, Bandar Setia Fontaines, 13200 Kepala Batas, Pulau Pinang, Malaysia

Maps

Taman Nusa Cinta (Setia Fontaines) in Seberang Perai Utara, Penang recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 693K and a median price per square foot (PSF) of RM 260.

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 693K, with most transactions falling within a stable range of RM 609K to RM 776K, and a typical market range of RM 661K to RM 724K.

Most transactions involved detached, with high diversity across multiple property types.

Price per square foot shows a median of RM 260, though individual units vary from RM 205 to RM 316 in the core range. The broader market spans RM 208.83 to RM 311.58, indicating diverse property characteristics. The spread of RM 102.75 (IQR) and deviation of RM 55 (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.