Cemara Bandar Botanic 2sty Semi D House Klang
Bandar Botanic, Selangor
RM 1,260,000
Specifications
The Edge Headline
Fully Reno Cemara Bandar Botanic 2sty Semi-D House 36x75sf Klang
Tenure
Land Area
2700
Built Up Area
2700
Bumiputera Lot
No
Bedrooms
Bathrooms
Postcode
Township
Cemara Bandar Botanic Klang
Property Guru Area
Property Guru Township
Bandar Botanic
New Launch Units
-
Auction Date
13-10-2024 13-02
Auction Number
-
Year Built
2005
Features
Description
[FULLY RENOVATED] LOW DENSITY!!
Cemara Bandar Botanic Klang Double Storey Semi-D
36x75
4 Bedrooms
4 Bathrooms
Freehold & Non-bumi Lot
Fully Renovated
Furnished Unit
Kitchen Cabinet & Table Top
Gated Guarded
Low Density
Selling Price RM1.26mil Only
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Looking for Serious Buyer Kindly
Contact / SMS / Whatsapp:
Ivie Por 016-5243941
FB Page: Ivy Klang Realty Services
https://www.facebook.com/IvyPor88/
For More Details & Viewing Arrangement
--------------------------------
The Roof Realty Sdn Bhd (E1605)
REN 26707
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
-
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.
