Segar Ria
Jalan 1a, Taman Bukit Segar, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Jalan 1a, Taman Bukit Segar, 56100 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 7
|
RM190,000
|
RM289
|
657 sqft
|
|
|
|
Level 7
|
RM175,000
|
RM267
|
657 sqft
|
|
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Segar Ria
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Mukim Kuala Lumpur
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM182,500
RM278 psfMedian transaction price
Jalan 1a, Taman Bukit Segar, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsSegar Ria in Kuala Lumpur, Kuala Lumpur recorded 2 subsale transactions in 2021, with a median price of RM183K and a median price per square foot (PSF) of RM278.
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 RM183K, with most transactions falling within a stable range of RM175K to RM190K, and a typical market range of RM175K to RM190K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM278, with most transactions between RM267 and RM289. The usual range is RM237.20 to RM318.70, showing that most units are priced quite close to each other. With an IQR of RM81.50 and MAD of RM11, 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.