Taman Pandan Indah

Melaka, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
3,100 sqft
Semi-D
RM450,000
Jalan Pandan Indah 8E
3,111 sqft · RM145 PSF
3,200 sqft
Semi-D
RM570,000
Jalan Pandan Indah 5B
3,197 sqft · RM178 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Pandan Indah

What’s happening in Taman Pandan Indah?

No posts about Taman Pandan Indah yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM510,000

RM161 psf

Median transaction price

Low

Does TAMAN PANDAN INDAH rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

See the yield with Plus

RM59 a month, cancel any time

Taman Pandan Indah
© OpenStreetMap · CARTO

Taman Pandan Indah, Melaka, Malaysia

Maps

Taman Pandan Indah in Melaka Tengah, Melaka recorded 2 Single Storey Semi-D properties subsale transactions between 2021 and 2026, with a median price of RM510K and a median price per square foot (PSF) of RM161.

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 RM510K, with most transactions falling within a stable range of RM450K to RM570K, and a typical market range of RM450K to RM570K.

Within the Single Storey Semi-D category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM161, with core pricing between RM145 and RM178. Market pricing typically extends from RM125.10 to RM197.86, reflecting moderate variation in unit pricing. With an IQR of RM72.75 and MAD of RM17, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.