SP Saujana Permai

MGHR+94, 08000 Sungai Petani, Kedah, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM 420,000
PSF
RM 131
Price Size
Period
transactions middle 50% (P25–P75)
2,250 sqft
Cluster
RM 360,000
Saujana Permai Phase 2
2,240 sqft · RM 161 PSF
RM 360,000
SP Saujana Permai (Phase 2)
2,240 sqft · RM 161 PSF
RM 342,000
Saujana Permai Phase 2
2,240 sqft · RM 153 PSF
RM 380,000
SP Saujana Permai Phase 3
2,240 sqft · RM 170 PSF
3,200 sqft
Cluster
RM 420,000
Saujana Permai
3,200 sqft · RM 131 PSF
RM 420,000
Saujana Permai Phase 2
3,200 sqft · RM 131 PSF
RM 420,000
Saujana Permai
3,200 sqft · RM 131 PSF
RM 420,000
SP Saujana Permai
3,200 sqft · RM 131 PSF
RM 420,000
Saujana Permai
3,200 sqft · RM 131 PSF
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Market Snapshot

Residential

RM 420,000

RM 131 psf

Median transaction price

SP Saujana Permai
© OpenStreetMap · CARTO

MGHR+94, 08000 Sungai Petani, Kedah, Malaysia

Maps

SP Saujana Permai in Kuala Muda, Kedah recorded 9 subsale transactions in 2021, with a median price of RM 420K and a median price per square foot (PSF) of RM 131.

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 420K, with most transactions falling within a stable range of RM 389K to RM 420K, and a typical market range of RM 376K to RM 420K.

Most transactions involved cluster house, with minimal variety in property types.

The median PSF stands at RM 131, with core pricing between RM 116 and RM 147. Market pricing typically extends from RM 120.75 to RM 141.75, reflecting moderate variation in unit pricing. With an IQR of RM 21.00 and MAD of RM 15, 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. 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.