Wisma Cuepacs

34, Jalan Gajah, Pudu, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM235,000
PSF
RM508
Price Size
Period
transactions middle 50% (P25–P75)
400 sqft
Condo
RM300,000
Level G
409 sqft · RM733 PSF
450 sqft
Condo
RM230,000
Level 2
463 sqft · RM497 PSF
RM240,000
Level 3
463 sqft · RM519 PSF
RM212,000
Level 2
463 sqft · RM458 PSF
RM235,000
Level 3
463 sqft · RM508 PSF
RM240,000
Level 1
463 sqft · RM519 PSF
RM210,000
Level 2
463 sqft · RM454 PSF
Legend Recent Highest Price Highest PSF

Selling in Wisma Cuepacs? Homes here sold for a median of RM235,000.

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Market Snapshot

Residential

RM235,000

RM508 psf

Median transaction price

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34, Jalan Gajah, Pudu, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Wisma Cuepacs in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions between 2021 and 2026, with a median price of RM235K and a median price per square foot (PSF) of RM508.

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 RM235K, with most transactions falling within a stable range of RM210K to RM263K, and a typical market range of RM220K to RM250K.

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

The median PSF stands at RM508, with core pricing between RM420 and RM596. Market pricing typically extends from RM475.22 to RM540.22, reflecting moderate variation in unit pricing. The spread of RM65.00 (IQR) and deviation of RM88 (MAD) suggest moderate price variations reflecting different property features.

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.