Taman Bringin

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

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
Cluster
RM380,000
Jalan Marudi 9
635 sqft · RM598 PSF
RM335,000
Jalan Marudi 9
635 sqft · RM528 PSF
700 sqft
Cluster
RM278,000
Jalan Marudi
700 sqft · RM397 PSF
RM350,000
Jalan Kapit
700 sqft · RM500 PSF
2,600 sqft
2-Sty Shop
RM850,000
Jalan Miri
2,583 sqft · RM329 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Bringin? Homes here sold for a median of RM350,000.

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Market Snapshot

Residential

RM342,500

RM514 psf

Median transaction price

Taman Bringin
© OpenStreetMap · CARTO

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

Maps

Taman Bringin in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2021, with a median price of RM350K and a median price per square foot (PSF) of RM500.

This area contains both residential and commercial properties. View 41 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM350K, with most transactions falling within a stable range of RM278K to RM558K, and a typical market range of RM310K to RM390K.

Most transactions involved cluster house, though some variety exists in the market.

The median PSF stands at RM500, with core pricing between RM404 and RM596. Market pricing typically extends from RM446.00 to RM554.50, reflecting moderate variation in unit pricing. The spread of RM108.50 (IQR) and deviation of RM96 (MAD) suggest moderate price variations reflecting different property features.

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.