Robson Heights

Persiaran Endah, Taman Persiaran Desa, 50460 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales grouped by size

Median
RM2,780,000
PSF
RM600
Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
Condo
RM530,000
Level 5
1,468 sqft · RM361 PSF
3,550 sqft
Semi-D
RM2,780,000
Persiaran Syed Putra
3,531 sqft · RM787 PSF
11,900 sqft
Bungalow
RM7,130,000
Jalan Permai
11,887 sqft · RM600 PSF
Legend Recent Highest Price Highest PSF

Selling in Robson Heights? Homes here sold for a median of RM2,780,000.

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

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Persiaran Endah, Taman Persiaran Desa, 50460 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Robson Heights in Kuala Lumpur, Kuala Lumpur recorded 3 subsale transactions in 2022, with a median price of RM2.78 million and a median price per square foot (PSF) of RM600.

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 RM2.78 million, with most transactions falling within a stable range of RM530K to RM5.52 million, and a typical market range of RM1.84 million to RM3.72 million.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

Price per square foot shows a median of RM600, though individual units vary from RM425 to RM774 in the core range. The broader market spans RM509.97 to RM689.72, indicating diverse property characteristics. A wider spread (IQR: RM179.75) and deviation (MAD: RM174) 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.