Taman Desa Rahmat

15200 Kota Bharu, Kelantan, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC House
RM195,000
Off Jalan Guchil Bayam
721 sqft · RM270 PSF
750 sqft
LC House
RM250,000
Jlan Panji -Pauh
743 sqft · RM337 PSF
RM230,000
Jlan Panji -Pauh
732 sqft · RM314 PSF
RM220,000
Jalan Rahmat 3/51
732 sqft · RM301 PSF
1,400 sqft
LC House
RM185,000
Off Jalan Kampung Belukar
1,399 sqft · RM132 PSF
1,500 sqft
LC House
RM200,000
Off Jalan Guchil / Bayam
1,507 sqft · RM133 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Desa Rahmat? Homes here sold for a median of RM210,000.

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Market Snapshot

Residential

RM210,000

RM285 psf

Median transaction price

Taman Desa Rahmat
© OpenStreetMap · CARTO

Taman Desa Rahmat, 15200 Kota Bharu, Kelantan, Malaysia

Maps

Taman Desa Rahmat in Kota Bahru, Kelantan recorded 6 subsale transactions in 2024, with a median price of RM210K and a median price per square foot (PSF) of RM285.

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 RM210K, with most transactions falling within a stable range of RM188K to RM232K, and a typical market range of RM193K to RM227K.

Most transactions involved low-cost house, with minimal variety in property types.

Price per square foot shows a median of RM285, though individual units vary from RM202 to RM369 in the core range. The broader market spans RM216.73 to RM354.23, indicating diverse property characteristics. A wider spread (IQR: RM137.50) and deviation (MAD: RM84) 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. 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.