WANGSA MAJU, Ground Floor Wangsa Delima
Wangsa Maju, Kuala Lumpur
RM 910,000
Property Type
Listing Type
Property ID
20220907161519
Location
Specifications
Tenure
Built Up Area
1752
Bumiputera Lot
Yes
New Launch Units
-
Auction Date
07-09-2022 16-07
Auction Number
-
Description
GROUND FLOOR SHOP LOT, Wangsa Maju Wangsa Delima
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Asking Price: RM930K NEGO
Price Drop: RM910K
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DETAILS
- Ground Floor Shop
- Strata Title
- Separate title with upper floor
- Leasehold (2105) / Non Bumi
- Size: 1752 Sq.ft / 24 x 73 (Approximately)
- Direction; Northwest
- Toilet: 2
- Pantry: Yes
- Office Room: 2
- Utility Room: Yes
NEARBY
- 140 Meter Burger King Wangsa Maju
- 750 Meter Aeon Big Wangsa Maju
- 900 Meter Wangsa Walk Mall
For any enquiry or viewing session; please contact (call or whatsapp) 60122957779 OR kindly SMS if NO answering. TQ
JaeJohari REN24605
HEBAT REALTORS E(3)1641
http://www.wasap.my/60122957779
Dear house owner, if you have any property for sell or rent, feel free to contact me
Loan & Insurance Calculator
Estimates onlyRates: Bank Negara Malaysia (indicative effective lending rate), refreshed daily. Tap a bank to apply its rate.
Monthly Instalment
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Loan Amount
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Total Interest
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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.
