Sri Kenny Condo
Jalan Tun Ismail, Kuala Lumpur, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Jalan Tun Ismail, Kuala Lumpur, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 1,200,000
|
RM 630
|
1,905 sqft
|
|
|
Level 3
|
RM 1,300,000
|
RM 653
|
1,991 sqft
|
|
|
Level 5
|
RM 1,760,000
|
RM 802
|
2,196 sqft
|
|
|
Level 3
|
RM 1,430,000
|
RM 596
|
2,400 sqft
|
|
|
|
Level 2
|
RM 1,420,000
|
RM 592
|
2,400 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
Sri Kenny Condo, Jalan Tun Ismail, Kuala Lumpur, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsSri Kenny Condo in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 1.42 million and a median price per square foot (PSF) of RM 630.
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 1.42 million, with most transactions falling within a stable range of RM 1.23 million to RM 1.61 million, and a typical market range of RM 1.25 million to RM 1.59 million.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 630, with core pricing between RM 553 and RM 707. Market pricing typically extends from RM 549.88 to RM 710.13, reflecting moderate variation in unit pricing. With an IQR of RM 160.25 and MAD of RM 77, the PSF demonstrates reasonable consistency across the market.
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.