← Back to All Properties For Sale
For Sale
Pelangi Court Apartment Meru Klang 1200sf RM325k
Klang, Selangor
RM 325,000
Specifications
Tenure
Built Up Area
1200
Bumiputera Lot
No
Furnishing
Bedrooms
Bathrooms
Car Park
New Launch Units
-
Auction Date
21-07-2022 20-09
Auction Number
-
Description
FULL LOAN 100% AVAILABLE T&C
FIRST HOME BUYER FREE STAMP DUTY T&C
Pelangi Court Apartment, Klang
Duplex penthouse
1,200sqf
Freehold
Non-Bumi Lot
4Bedrooms 3Bathrooms
Renovated
Gated Guarded
Selling price 325k
#Klang #Klangpropertyforsale #Klangpropertywanted
Kindly Contact :
Call/ whatsapp -
Zeff Tan 0198403023 (REN 40045)
https://wa.me/60198403023
FIRST HOME BUYER FREE STAMP DUTY T&C
Pelangi Court Apartment, Klang
Duplex penthouse
1,200sqf
Freehold
Non-Bumi Lot
4Bedrooms 3Bathrooms
Renovated
Gated Guarded
Selling price 325k
#Klang #Klangpropertyforsale #Klangpropertywanted
Kindly Contact :
Call/ whatsapp -
Zeff Tan 0198403023 (REN 40045)
https://wa.me/60198403023
Loan & Insurance Calculator
Estimates onlyRates: Bank Negara Malaysia (indicative effective lending rate), refreshed daily. Tap a bank to apply its rate.
10%
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
Loading map…
Map data © OpenStreetMap contributors. Approximate location based on property name and area.
