Wisma Hla/Mpi

67, Jalan Raja Chulan, Bukit Ceylon, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM205,000
PSF
RM613
Period
transactions middle 50% (P25–P75)
300 sqft
Shop
RM190,000
Level 2
301 sqft · RM630 PSF
RM148,000
Level 2
301 sqft · RM491 PSF
RM300,000
Level G
305 sqft · RM984 PSF
400 sqft
Shop
RM445,000
Level G
424 sqft · RM1,050 PSF
RM205,000
Level 3
424 sqft · RM484 PSF
450 sqft
Shop
RM200,000
Level 2
431 sqft · RM465 PSF
500 sqft
Shop
RM310,000
Level 2
506 sqft · RM613 PSF
Legend Recent Highest Price Highest PSF

Selling in Wisma Hla/Mpi? Homes here sold for a median of RM205,000.

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Wisma Hla/Mpi
© OpenStreetMap · CARTO

67, Jalan Raja Chulan, Bukit Ceylon, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Wisma Hla/Mpi in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, with a median price of RM205K and a median price per square foot (PSF) of RM613.

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 RM205K, with most transactions falling within a stable range of RM148K to RM262K, and a typical market range of RM150K to RM260K.

Most transactions involved shop unit/retail lot, with minimal variety in property types.

Price per square foot shows a median of RM613, though individual units vary from RM484 to RM742 in the core range. The broader market spans RM453.25 to RM772.75, indicating diverse property characteristics. The spread of RM319.50 (IQR) and deviation of RM129 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.