May Tower Service Apt

Kuala Lumpur City Centre, 50250 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

10 subsales found

Median
RM267,500
PSF
RM755
Price Size
Period
transactions middle 50% (P25–P75)
RM260,000
Level 23
344 sqft RM755 PSF
RM275,000
Level 14
344 sqft RM798 PSF
RM340,000
Level 9
431 sqft RM790 PSF
RM356,000
Level 14
484 sqft RM735 PSF
RM260,000
Level 21
344 sqft RM755 PSF
RM243,000
Level 23
344 sqft RM705 PSF
RM335,000
Level 9
431 sqft RM778 PSF
RM260,000
Level 13
344 sqft RM755 PSF
RM351,000
Level 14
463 sqft RM758 PSF
RM260,000
Level 19
344 sqft RM755 PSF
Legend Recent Highest Price Highest PSF

Selling in May Tower Service Apt? Homes here sold for a median of RM267,500.

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May Tower Service Apt
© OpenStreetMap · CARTO

Kuala Lumpur City Centre, 50250 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

May Tower Service Apt in Kuala Lumpur, Kuala Lumpur recorded 10 subsale transactions in 2022, with a median price of RM268K and a median price per square foot (PSF) of RM755.

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 RM268K, with most transactions falling within a stable range of RM243K to RM310K, and a typical market range of RM243K to RM309K.

Most transactions involved serviced apartment, with minimal variety in property types.

For price per square foot, the median is RM755, with most transactions between RM730 and RM780. The usual range is RM733.83 to RM775.83, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.00 and an average deviation (MAD) of RM25 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.