Taman Saujana Indah

Kedah, Kulim, Bandar Lunas

Property Transactions

6 subsales grouped by size · Semi-D →

Median
RM 520,000
PSF
RM 140
Price Size
Period
transactions middle 50% (P25–P75)
2,400 sqft
Semi-D
RM 420,000
Lorong Saujana 1/6
2,400 sqft · RM 175 PSF
2,950 sqft
Semi-D
RM 440,000
Lorong Saujana 2/6
2,971 sqft · RM 148 PSF
3,550 sqft
Semi-D
RM 620,000
Lorong Saujana 4/6
3,552 sqft · RM 175 PSF
3,800 sqft
Bungalow
RM 500,000
Lorong Saujana 1/6
3,800 sqft · RM 132 PSF
5,150 sqft
Bungalow
RM 578,000
Lorong Saujana 1/6
5,145 sqft · RM 112 PSF
5,600 sqft
Semi-D
RM 540,000
Lorong Saujana 1/6
5,576 sqft · RM 97 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 520,000

RM 140 psf

Median transaction price

Taman Saujana Indah
© OpenStreetMap · CARTO

Taman Saujana Indah, Kulim, Kedah

Taman Saujana Indah in Kulim, Kedah recorded 6 subsale transactions in 2022, with a median price of RM 520K and a median price per square foot (PSF) of RM 140.

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 520K, with most transactions falling within a stable range of RM 449K to RM 591K, and a typical market range of RM 462K to RM 578K.

Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.

Price per square foot shows a median of RM 140, though individual units vary from RM 110 to RM 169 in the core range. The broader market spans RM 114.10 to RM 165.60, indicating diverse property characteristics. The spread of RM 51.50 (IQR) and deviation of RM 29 (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.