Taman Saya (Nirwana)

Jalan Nirwana, Taman Nirwana, 75200 Tanjung Kling, Melaka, Malaysia

Property Transactions

7 subsales found

Median
RM290,000
PSF
RM243
Price Size
Period
transactions middle 50% (P25–P75)
RM340,000
Jalan Nirwana 5
1,195 sqft RM285 PSF
RM320,000
Lorong 1, Jalan Nirwana 12
1,195 sqft RM268 PSF
RM290,000
Jalan Nirwana 7
1,195 sqft RM243 PSF
RM300,000
Jalan Nirwana 5
1,195 sqft RM251 PSF
RM270,000
Jalan Nirwana 8
1,195 sqft RM226 PSF
RM200,000
Jalan Nirwana 7
1,195 sqft RM167 PSF
RM280,000
Jalan Nirwana 7
1,195 sqft RM234 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Saya (Nirwana)? Homes here sold for a median of RM290,000.

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Market Snapshot

Residential

RM290,000

RM243 psf

Median transaction price

Taman Saya (Nirwana)
© OpenStreetMap · CARTO

Jalan Nirwana, Taman Nirwana, 75200 Tanjung Kling, Melaka, Malaysia

Maps

Taman Saya (Nirwana) in Melaka Tengah, Melaka recorded 7 subsale transactions between 2021 and 2026, sized between 1,175 and 1,224 sqft, with a median price of RM290K and a median price per square foot (PSF) of RM243.

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 RM290K, with most transactions falling within a stable range of RM249K to RM331K, and a typical market range of RM276K to RM304K.

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

The median PSF stands at RM243, with core pricing between RM208 and RM277. Market pricing typically extends from RM224.22 to RM261.22, reflecting moderate variation in unit pricing. With an IQR of RM37.00 and MAD of RM35, the PSF demonstrates reasonable consistency across the market.

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.