Taman Desa Cinta Sayang

556, Lorong 15, Jalan Sungai Karangan, Taman Desa Cinta Sayang, 09410 Padang Serai, Kedah, Malaysia

Property Transactions

4 subsales grouped by size · Terrace →

Median
RM 290,000
PSF
RM 207
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 300,000
Lorong 9
1,399 sqft · RM 214 PSF
RM 295,000
Jalan Padang Serai - Sungai Karangan
1,399 sqft · RM 211 PSF
RM 285,000
Jalan Padang Serai - Sungai Karangan
1,399 sqft · RM 204 PSF
RM 250,000
Lorong 9
1,399 sqft · RM 179 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 290,000

RM 207 psf

Median transaction price

Taman Desa Cinta Sayang
© OpenStreetMap · CARTO

556, Lorong 15, Jalan Sungai Karangan, Taman Desa Cinta Sayang, 09410 Padang Serai, Kedah, Malaysia

Maps

Taman Desa Cinta Sayang in Kulim, Kedah recorded 4 subsale transactions in 2024, with a median price of RM 290K and a median price per square foot (PSF) of RM 207.

This area contains both residential and commercial properties. View 103 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 290K, with most transactions falling within a stable range of RM 270K to RM 300K, and a typical market range of RM 258K to RM 300K.

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

For price per square foot, the median is RM 207, with most transactions between RM 193 and RM 221. The usual range is RM 201.24 to RM 213.24, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 12.00 and an average deviation (MAD) of RM 14 indicate a highly stable PSF trend across properties.

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.