Menara Pelangi

Lorong Ang Seng 2, Brickfields, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales found

Median
RM387,500
PSF
RM486
Price Size
Period
transactions middle 50% (P25–P75)
RM362,000
Level 17
797 sqft RM454 PSF
RM418,000
Level 8
797 sqft RM525 PSF
RM390,000
Level 5
797 sqft RM490 PSF
RM385,000
Level 7
797 sqft RM483 PSF
Legend Recent Highest Price Highest PSF

Selling in Menara Pelangi? Homes here sold for a median of RM387,500.

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Market Snapshot

Residential

RM387,500

RM486 psf

Median transaction price

High

Does MENARA PELANGI rent out well?

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

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Lorong Ang Seng 2, Brickfields, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Menara Pelangi in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, sized between 775 and 824 sqft, with a median price of RM388K and a median price per square foot (PSF) of RM486.

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 RM388K, with most transactions falling within a stable range of RM368K to RM407K, and a typical market range of RM375K to RM400K.

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

For price per square foot, the median is RM486, with most transactions between RM461 and RM512. The usual range is RM469.99 to RM502.99, showing that most units are priced quite close to each other. A typical spread (IQR) of RM33.00 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.