Taman Saujana Indah

14000 Bukit Mertajam, Pulau Pinang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 511,000
PSF
RM 209
Price Size
Period
transactions middle 50% (P25–P75)
2,250 sqft
Semi-D
RM 511,000
Jalan Saujana 1/2
2,271 sqft · RM 225 PSF
2,450 sqft
Semi-D
RM 450,000
Jalan Saujana 1
2,443 sqft · RM 184 PSF
RM 620,000
Jalan Saujana 1/3
2,443 sqft · RM 254 PSF
RM 520,000
Jalan Saujana 1/6
2,443 sqft · RM 213 PSF
RM 510,000
Jalan Saujana 1/5
2,443 sqft · RM 209 PSF
RM 450,000
Jalan Saujana
2,448 sqft · RM 184 PSF
4,200 sqft
Semi-D
RM 570,000
Jalan Saujana 1/4
4,187 sqft · RM 136 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 511,000

RM 209 psf

Median transaction price

Taman Saujana Indah
© OpenStreetMap · CARTO

Taman Saujana Indah, 14000 Bukit Mertajam, Pulau Pinang, Malaysia

Maps

Taman Saujana Indah in Seberang Perai Tengah, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 511K and a median price per square foot (PSF) of RM 209.

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 511K, with most transactions falling within a stable range of RM 454K to RM 568K, and a typical market range of RM 467K to RM 555K.

Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.

The median PSF stands at RM 209, with core pricing between RM 174 and RM 243. Market pricing typically extends from RM 190.60 to RM 226.85, reflecting moderate variation in unit pricing. The spread of RM 36.25 (IQR) and deviation of RM 35 (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. 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.