Taman Mastiara

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

2 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
4-Sty Shop
RM180,000
Jalan 6/18D
743 sqft · RM242 PSF
1,500 sqft
4-Sty Shop
RM838,000
Jalan 6/18D
1,518 sqft · RM552 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Mastiara? Homes here sold for a median of RM509,000.

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Market Snapshot

RM615,000

RM557 psf

Median transaction price

RM509,000

RM397 psf

Median transaction price

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Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Taman Mastiara in Kuala Lumpur, Kuala Lumpur recorded 2 4-Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM509K and a median price per square foot (PSF) of RM397.

This area contains both residential and commercial properties. View 54 residential properties or 17 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM509K, with most transactions falling within a stable range of RM180K to RM838K, and a typical market range of RM284K to RM734K.

Within the 4-Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM397, though individual units vary from RM242 to RM552 in the core range. The broader market spans RM282.50 to RM512.00, indicating diverse property characteristics. A wider spread (IQR: RM229.50) and deviation (MAD: RM155) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.