Bukit Saujana
Lorong Bukit Kukus, Paya Terubong, 11060 Ayer Itam, Pulau Pinang, Malaysia
Lorong Bukit Kukus, Paya Terubong, 11060 Ayer Itam, Pulau Pinang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM280,000
|
RM406
|
689 sqft
|
|
|
|
Level 14
|
RM135,000
|
RM196
|
689 sqft
|
|
|
|
Level 3
|
RM153,000
|
RM222
|
689 sqft
|
|
|
|
Level 18
|
RM150,000
|
RM218
|
689 sqft
|
|
|
|
Level 16
|
RM210,000
|
RM305
|
689 sqft
|
|
Selling in Bukit Saujana? Homes here sold for a median of RM153,000.
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Bukit Saujana
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 13
Market Snapshot
ResidentialRM153,000
RM222 psfMedian transaction price
Bukit Saujana, Lorong Bukit Kukus, Paya Terubong, 11060 Ayer Itam, Pulau Pinang, Malaysia
MapsBukit Saujana in Timur Laut, Penang recorded 5 subsale transactions in 2025, with a median price of RM153K and a median price per square foot (PSF) of RM222.
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 RM153K, with most transactions falling within a stable range of RM135K to RM207K, and a typical market range of RM135K to RM192K.
Most transactions involved flats, with minimal variety in property types.
Price per square foot shows a median of RM222, though individual units vary from RM144 to RM300 in the core range. The broader market spans RM165.85 to RM278.35, indicating diverse property characteristics. A wider spread (IQR: RM112.50) and deviation (MAD: RM78) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.