Taman Sejahtera Fasa 1

Kedah, Kulim, Bandar Lunas

Property Transactions

6 subsales grouped by size · Terrace →

Median
RM 297,500
PSF
RM 157
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 295,000
Jalan Bersatu
1,399 sqft · RM 211 PSF
1,500 sqft
2-Sty Terrace
RM 300,000
Jalan Maju
1,485 sqft · RM 202 PSF
1,600 sqft
Terrace
RM 260,000
Jalan Muhibbah
1,604 sqft · RM 162 PSF
1,650 sqft
Terrace
RM 250,000
Lorong Bersatu
1,636 sqft · RM 153 PSF
2,900 sqft
Semi-D
RM 350,000
Jalan. Bersatu
2,885 sqft · RM 121 PSF
3,800 sqft
Semi-D
RM 310,000
Jalan. Makmur
3,778 sqft · RM 82 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 297,500

RM 157 psf

Median transaction price

Taman Sejahtera Fasa 1 in Kulim, Kedah recorded 6 subsale transactions in 2022, with a median price of RM 298K and a median price per square foot (PSF) of RM 157.

This area contains both residential and commercial properties. View 14 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 298K, with most transactions falling within a stable range of RM 265K to RM 330K, and a typical market range of RM 274K to RM 321K.

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

Price per square foot shows a median of RM 157, though individual units vary from RM 113 to RM 202 in the core range. The broader market spans RM 123.59 to RM 191.34, indicating diverse property characteristics. A wider spread (IQR: RM 67.75) and deviation (MAD: RM 44) indicate significant PSF variations, likely due to diverse property types or conditions.

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.