Menara Pelangi

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

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 411,000
PSF
RM 482
Price Size
800 sqft
Condo
RM 362,000
Level 17
797 sqft · RM 454 PSF
RM 418,000
Level 8
797 sqft · RM 525 PSF
RM 390,000
Level 5
797 sqft · RM 490 PSF
RM 385,000
Level 7
797 sqft · RM 483 PSF
850 sqft
Condo
RM 412,000
Level 10
861 sqft · RM 478 PSF
950 sqft
Condo
RM 445,000
Level 11
926 sqft · RM 481 PSF
RM 520,000
Level 17
926 sqft · RM 562 PSF
RM 410,000
Level 8
926 sqft · RM 443 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 411,000

RM 482 psf

Median transaction price

High

Rental Yield Data

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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 8 subsale transactions between 2021 and 2026, with a median price of RM 411K and a median price per square foot (PSF) of RM 482.

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 RM 411K, with most transactions falling within a stable range of RM 366K to RM 456K, and a typical market range of RM 399K to RM 423K.

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

For price per square foot, the median is RM 482, with most transactions between RM 446 and RM 518. The usual range is RM 465.53 to RM 498.53, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 33.00 and an average deviation (MAD) of RM 36 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.