Ac4

Taman Kinrara Seksyen 3, 47190 Puchong, Selangor, Malaysia

NEW LAUNCH New Condo in PJ Damansara
Ad Sponsored

New Condo in PJ Damansara

Pet friendly condo. 10mins to 1Utama

From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM250,000
PSF
RM323
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM153,000
Level 10
624 sqft · RM245 PSF
RM140,000
Level 12
624 sqft · RM224 PSF
800 sqft
Flat
RM250,000
Level 7
775 sqft · RM323 PSF
RM250,000
Level 10
775 sqft · RM323 PSF
RM270,000
Level 8
775 sqft · RM348 PSF
Legend Recent Highest Price Highest PSF

Posts about Ac4

What’s happening in Ac4?

No posts about Ac4 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM250,000

RM323 psf

Median transaction price

Ac4
© OpenStreetMap · CARTO

Taman Kinrara Seksyen 3, 47190 Puchong, Selangor, Malaysia

Maps

Ac4 in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2024, with a median price of RM250K and a median price per square foot (PSF) of RM323.

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 RM250K, with most transactions falling within a stable range of RM195K to RM270K, and a typical market range of RM203K to RM270K.

Most transactions involved low-cost flat, with moderate diversity in property types available.

The median PSF stands at RM323, with core pricing between RM274 and RM371. Market pricing typically extends from RM282.58 to RM362.58, reflecting moderate variation in unit pricing. The spread of RM80.00 (IQR) and deviation of RM49 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.