Kondominium Kojaya

Malaysia, Selangor, Ampang, Taman Dato Ahmad Razali, Kondominium Kojaya, 68000

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM372,500
PSF
RM398
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM375,000
Level 1
936 sqft · RM400 PSF
RM370,000
Level 8
936 sqft · RM395 PSF
RM435,000
Level 1
936 sqft · RM465 PSF
RM320,000
Level 3
936 sqft · RM342 PSF
RM345,000
Level 3
936 sqft · RM368 PSF
RM380,000
Level 8
936 sqft · RM406 PSF
Legend Recent Highest Price Highest PSF

Selling in Kondominium Kojaya? Homes here sold for a median of RM372,500.

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Market Snapshot

Residential

RM372,500

RM398 psf

Median transaction price

Kondominium Kojaya
© OpenStreetMap · CARTO

Malaysia, Selangor, Ampang, Taman Dato Ahmad Razali, Kondominium Kojaya, 68000

Maps

Kondominium Kojaya in Hulu Langat, Selangor recorded 6 subsale transactions between 2021 and 2026, with a median price of RM373K and a median price per square foot (PSF) of RM398.

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 RM373K, with most transactions falling within a stable range of RM337K to RM408K, and a typical market range of RM358K to RM387K.

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

For price per square foot, the median is RM398, with most transactions between RM360 and RM435. The usual range is RM383.15 to RM412.40, showing that most units are priced quite close to each other. A typical spread (IQR) of RM29.25 and an average deviation (MAD) of RM38 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.