The Park Sky Residence

Block A, The Park Sky Residence, Persiaran Jalil Utama, Bukit Jalil, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size · 3-Sty Shop →

Median
RM 3,555,000
PSF
RM 1,075
Period
transactions middle 50% (P25–P75)
RM 1,510,000
Level 32
1,572 sqft · RM 961 PSF
RM 1,300,000
Persiaran Jalil Utama(Ppbb@Pavillion)
1,572 sqft · RM 827 PSF
5,200 sqft
3-Sty Shop
RM 5,600,000
Persiaran Jalil Utama(Ppbb@Pavillion
5,210 sqft · RM 1,075 PSF
RM 6,200,000
Persiaran Jalil Utama(Ppbb@Pavillion
5,210 sqft · RM 1,190 PSF
Legend Recent Highest Price Highest PSF

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Block A, The Park Sky Residence, Persiaran Jalil Utama, Bukit Jalil, 57000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

The Park Sky Residence in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 3.56 million and a median price per square foot (PSF) of RM 1,075.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 3.56 million, with most transactions falling within a stable range of RM 1.41 million to RM 5.71 million, and a typical market range of RM 1.41 million to RM 5.70 million.

Most transactions involved 3 - 3 1/2 storey shop, though some variety exists in the market.

The median PSF stands at RM 1,075, with core pricing between RM 960 and RM 1,189. Market pricing typically extends from RM 986.79 to RM 1,163.04, reflecting moderate variation in unit pricing. With an IQR of RM 176.25 and MAD of RM 115, the PSF demonstrates reasonable consistency across the market.

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.