pg 2 sty end lot 25x70 Bandar Nusa Rhu u10 Shah Al
Shah Alam, Selangor
RM 700,000
Property Type
Listing Type
Property ID
20250308135722
Location
Specifications
The Edge Headline
2 sty end lot 25x70 Bandar Nusa Rhu u10 Shah Alam
Tenure
Land Area
1750
Built Up Area
2000
Bumiputera Lot
No
Furnishing
Bedrooms
Bathrooms
Car Park
Postcode
Township
25x70 2storey Nusa Rhu Shah Alam
Address
denai alam, Cahaya spk, bukit jelutong
Property Guru Area
Property Guru Township
Bandar Nusa Rhu
New Launch Units
-
Auction Date
03-01-2025 15-40
Auction Number
-
Title Type
Land Title Type
Occupancy
Direction
North
Unit Type
Year Built
2017
Description
2 storey link end lot
25x70
2092sf Build up
4 rooms 3 baths
guarded outside
big living hall, dining hall
Easy Access to DASH, Guthrie, NKVE
5-8min to Bukit Jelutong, Cahaya SPK
15-20min to PJ, Subang Jaya
15-20min to Kota Damansra, 1 Utama by DASH
want see sample unit pls contact Kent 0104384128
1 stop service (lawyer, loan panel avaialble)
Loan & Insurance Calculator
Estimates onlyRates: Bank Negara Malaysia (indicative effective lending rate), refreshed daily. Tap a bank to apply its rate.
Monthly Instalment
-
Loan Amount
-
Total Interest
-
MRTA vs MLTA Comparison
Indicative estimates - actual premiums depend on insurer, health & plan| MRTA | MLTA | |
|---|---|---|
| Estimated Premium | - | - |
| Payment | One-off (usually financed into loan) | Monthly / yearly premium |
| Coverage | Reducing - follows loan balance | Level - fixed sum assured |
| Beneficiary | Bank (settles the loan) | Family (loan settled, balance to family) |
| Cash Value | None / minimal | Yes - may have cash value |
| Transferable | Tied to this loan | Portable to next property |
All figures are estimates for reference only and do not constitute financial advice. Loan approval, interest rates and insurance premiums vary by bank, insurer, age, health condition and coverage chosen. Please consult your banker or licensed financial adviser for exact quotations.
Nearby Places
Map data © OpenStreetMap contributors. Approximate location based on property name and area.
