City Garden
12, Persiaran Raja Chulan, Bukit Bintang, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
12, Persiaran Raja Chulan, Bukit Bintang, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM 490,000
|
RM 356
|
1,378 sqft
|
|
|
|
Level 14
|
RM 495,000
|
RM 359
|
1,378 sqft
|
|
|
Level 3
|
RM 1,030,000
|
RM 404
|
2,551 sqft
|
|
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 557,500
RM 410 psfMedian transaction price
12, Persiaran Raja Chulan, Bukit Bintang, 50200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsCity Garden in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions between 2021 and 2026, with a median price of RM 558K and a median price per square foot (PSF) of RM 410.
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 558K, with most transactions falling within a stable range of RM 490K to RM 745K, and a typical market range of RM 490K to RM 659K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 410, with most transactions between RM 376 and RM 445. The usual range is RM 396.49 to RM 424.24, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 27.75 and an average deviation (MAD) of RM 35 indicate a highly stable PSF trend across properties.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.