Segar Court Apartment
9, Jalan Manis 1, Taman Bukit Segar, 56100 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia
9, Jalan Manis 1, Taman Bukit Segar, 56100 Cheras, 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 450,000
|
RM 465
|
969 sqft
|
|
|
|
Level 6
|
RM 480,000
|
RM 495
|
969 sqft
|
|
|
|
Level 2
|
RM 530,000
|
RM 547
|
969 sqft
|
|
Posts about Segar Court Apartment
No posts about Segar Court Apartment yet. Be the first to share what’s happening here.
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
9, Jalan Manis 1, Taman Bukit Segar, 56100 Cheras, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsSegar Court Apartment in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 505K and a median price per square foot (PSF) of RM 503.
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 505K, with most transactions falling within a stable range of RM 450K to RM 562K, and a typical market range of RM 468K to RM 543K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 503, with most transactions between RM 474 and RM 533. The usual range is RM 487.19 to RM 519.69, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 32.50 and an average deviation (MAD) of RM 30 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.