Sale Price *
Rental Price **
Rental Yield **
3.84%
Rental income expressed as a percentage of the property's value.
Sale Price *
Rental Price **
Rental Yield **
3.84%
Rental income expressed as a percentage of the property's value.
Glen Court, Bandar Sungai Long, Kajang Insights
| Developer | : |
| Architect | : |
| Main Contractor | : |
| Land Size (sqm) | : |
| GFA (sqm) | : |
| Plot Ratio (Incl. Bonus) | : |
| Project Name | :Glen Court, Bandar Sungai Long |
| Street Name | :Persiaran SL 1, Bandar Sungai Long, Kajang, 43000, Selangor |
| Postal Code | :43200 |
| Property Type | :Flat |
| Tenure | : |
| District/Planning Area | :Kajang |
| Completion | :N/A |
| Number of Landed Units | :0 units |
| Number of Non Landed Units | :0 units |
| Sold Price Range/Median* | :RM 315 psf - RM 482 psf / RM 416 psf |
| Leased Rental Range/Average** | : |
| Implied rental yield** | :3.84% |
| Historical High | :RM 680 psf in Dec 2024 for a 883-sqft unit |
| Indicative Average Price from Historical High | :% |
| Historical Low | :RM 227 psf in Aug 2023 for a 883-sqft unit |
| Buyer Profile by Residential Status | : |
| Buyer Profile by Purchaser Address | : |
About This Project
Glen court is a low-rise non landed project situated in the township of Bandar Sungai Long in Selangor. Neighbouring townships are Kajang and Cheras South.Amenities available in the vicinity are morning wet market, University Tunku Abdul Rahman, SK Taman Rakan, SR Agama Kaifa Integrasi, SR Agama Sri Sekamat, restaurants, cafes and retail shops.This project can be easily accessed via Silk Highway, Cheras-Kajang Highway, North-South Highway and Kajang-Semenyih Bypass.
Sales Transaction of Glen Court, Bandar Sungai Long
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Price Comparison with Nearby Properties (UP to 50)
Note: Excludes properties with no transactions in the past 4 years. *Prices and rentals are based on data in the past 4 years.

Price Comparison with Nearby Properties
(Properties Within 1km)
Note: Excludes properties with no transactions in the past 4 years. *Prices and rentals are based on data in the past 4 years.