SP Saujana Permai

MGHR+94, 08000 Sungai Petani, Kedah, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM451,000
PSF
RM132
Price Size
Period
transactions middle 50% (P25–P75)
3,400 sqft
Cluster
RM476,000
SP Saujana Permai Phase 3
3,402 sqft · RM140 PSF
RM451,000
SP Saujana Permai Phase 3
3,423 sqft · RM132 PSF
RM475,000
SP Saujana Permai Phase 3
3,423 sqft · RM139 PSF
RM451,000
SP Saujana Permai Phase 3
3,423 sqft · RM132 PSF
RM442,000
SP Saujana Permai
3,423 sqft · RM129 PSF
RM433,000
SP Saujana Permai Phase 2
3,423 sqft · RM127 PSF
RM475,000
Saujana Permai
3,387 sqft · RM140 PSF
Legend Recent Highest Price Highest PSF

Selling in SP Saujana Permai? Homes here sold for a median of RM451,000.

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Market Snapshot

Residential

RM451,000

RM132 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 7 subsale transactions between 2021 and 2026, sized between 3,375 and 3,424 sqft, with a median price of RM451K and a median price per square foot (PSF) of RM132.

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 RM451K, with most transactions falling within a stable range of RM435K to RM467K, and a typical market range of RM433K to RM476K.

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

For price per square foot, the median is RM132, with most transactions between RM127 and RM137. The usual range is RM121.26 to RM142.26, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM5 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.