Taman Sayang Selasih F1

Taman Sayang Selasih, 75200 Klebang Besar, Melaka, Malaysia

Property Transactions

6 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,100 sqft
Terrace
RM230,000
Jalan Meranti 3
1,076 sqft · RM214 PSF
RM190,000
Jalan Meranti 4
1,076 sqft · RM177 PSF
1,400 sqft
2-Sty Terrace
RM300,000
Jalan Meranti 1
1,410 sqft · RM213 PSF
2,250 sqft
Terrace
RM360,000
Meranti 3
2,239 sqft · RM161 PSF
2,300 sqft
Terrace
RM330,000
Meranti 3
2,314 sqft · RM143 PSF
6,000 sqft
Bungalow
RM580,000
Off Jalan Klebang
5,985 sqft · RM97 PSF
Legend Recent Highest Price Highest PSF

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Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Klebang Besar

Market Snapshot

Residential

RM315,000

RM169 psf

Median transaction price

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Taman Sayang Selasih, 75200 Klebang Besar, Melaka, Malaysia

Maps

Taman Sayang Selasih F1 in Melaka Tengah, Melaka recorded 6 subsale transactions between 2021 and 2026, with a median price of RM315K and a median price per square foot (PSF) of RM177.

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 RM315K, with most transactions falling within a stable range of RM250K to RM380K, and a typical market range of RM263K to RM368K.

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

The median PSF stands at RM177, with core pricing between RM151 and RM203. Market pricing typically extends from RM155.02 to RM198.02, reflecting moderate variation in unit pricing. With an IQR of RM43.00 and MAD of RM26, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.