Taman Kobena

55300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM600,000
1,206 sqft
RM498 PSF
RM630,000
936 sqft
RM673 PSF
RM470,000
936 sqft
RM502 PSF
RM650,000
936 sqft
RM694 PSF
RM500,000
936 sqft
RM534 PSF
RM560,000
936 sqft
RM598 PSF
RM500,000
936 sqft
RM534 PSF
RM1,300,000
2,885 sqft
RM451 PSF
RM1,448,000
2,885 sqft
RM502 PSF
RM460,000
1,152 sqft
RM399 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM465,000

RM394 psf

Median transaction price

Taman Kobena
© OpenStreetMap · CARTO

Taman Kobena, 55300 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Kobena in Kuala Lumpur, Kuala Lumpur recorded 16 subsale transactions between 2021 and 2026, with a median price of RM485K and a median price per square foot (PSF) of RM498.

This area contains both residential and commercial properties. View 14 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 RM485K, with most transactions falling within a stable range of RM310K to RM660K, and a typical market range of RM310K to RM660K.

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

Price per square foot shows a median of RM498, though individual units vary from RM339 to RM656 in the core range. The broader market spans RM361.57 to RM633.82, indicating diverse property characteristics. A wider spread (IQR: RM272.25) and deviation (MAD: RM159) 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.