Taman Saujana Indah

Kedah, Kulim, Bandar Lunas

Property Transactions

15 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM500,000
3,800 sqft
RM132 PSF · Bungalow
RM540,000
5,576 sqft
RM97 PSF · Semi-D
RM420,000
2,400 sqft
RM175 PSF · Semi-D
RM578,000
5,145 sqft
RM112 PSF · Bungalow
RM480,000
2,669 sqft
RM180 PSF
RM620,000
3,552 sqft
RM175 PSF
RM488,000
1,679 sqft
RM291 PSF
RM412,000
1,679 sqft
RM245 PSF
RM445,000
2,336 sqft
RM191 PSF
RM626,000
6,168 sqft
RM101 PSF
RM580,000
4,004 sqft
RM145 PSF
RM480,000
2,540 sqft
RM189 PSF
RM733,000
5,005 sqft
RM146 PSF
RM490,000
2,400 sqft
RM204 PSF
RM440,000
2,971 sqft
RM148 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM539,000

RM146 psf

Median transaction price

Taman Saujana Indah
© OpenStreetMap · CARTO

Taman Saujana Indah, Kulim, Kedah

Taman Saujana Indah in Kulim, Kedah recorded 15 subsale transactions between 2021 and 2026, with a median price of RM490K and a median price per square foot (PSF) of RM175.

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 RM490K, with most transactions falling within a stable range of RM440K to RM540K, and a typical market range of RM432K to RM548K.

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

The median PSF stands at RM175, with core pricing between RM146 and RM204. Market pricing typically extends from RM148.80 to RM200.30, reflecting moderate variation in unit pricing. The spread of RM51.50 (IQR) and deviation of RM29 (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.