Ken Rimba Condominium Shah Alam
Shah Alam, Selangor
RM 450,000
Property Type
Listing Type
Property ID
20211130191952
Location
Listed By
Specifications
Tenure
Land Area
1183
Built Up Area
1183
Bumiputera Lot
No
Furnishing
Bedrooms
Bathrooms
Car Park
New Launch Units
-
Auction Date
30-11-2021 19-18
Auction Number
-
Description
Haris Hans
REN 18502
FIRDAUS ASSOCIATES & REAL ESTATE AGENCY SB
www.whatsapp.my/60192100657
Nooris
REN 28081
FIRDAUS ASSOCIATES & REAL ESTATE AGENCY SB
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Ken Rimba Condominium Shah Alam
Near to Padang Jawa KTM Station
DETAILS :-
=========
Condominium
Build up: 1183 sqft
Non Bumi Lot
Freehold
3 Rooms
2 bathroom
Parking Lot: 2
Facilities
========
- Swimming Pool
- Wading Pool
- Gymnasium
- Cabana
- Childrens Playground
- Multipurpose Hall
- 24-hours Security
- Management Office
Accessibility
===========
- KESAS Highway
- NKVE
- LKSA
- LATAR
- Federal Highway
===========================
Asking Price : RM 450,000.00 (Nego)
=============================
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.
