Setia SKY Residences KLCC Fully Furnished Furnish
KLCC, Kuala Lumpur
RM 1,180,000
Property Type
Listing Type
Property ID
20260604003417
Location
Specifications
Land Area
1701
Built Up Area
1701
Bumiputera Lot
No
Furnishing
Bedrooms
Bathrooms
Car Park
Negotiable
Yes
New Launch Units
-
Title Type
Land Title Type
Occupancy
Unit Type
Floor
Low Floor
Watermark Color
Black
Property Name Property Guru Suggested
Setia SKY Residences
Tenure
Postcode
Property Guru Township
No township available
Year Built
2015
Description
URGENT SALE BELOW MARKET VALUE
MUST GRAB DEAL
~ Built up: 1701 sqft
~ 3+1 rooms 3 bathrooms
~ 2 car parks
~ KLCC and KL city view
~ 2 private lifts with face recognition security
~ Low density living
~ Exclusive lift access
~ 3-tier security system
~ Just steps away from MRT Station Raja Uda
**Priced below market value, Rare opportunity in a high-demand location.
Kindly contact 0177773375 for viewing arrangement
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~ 1701
~ 3+1 3
~ 2
~ KLCC
~ 2
~
~
~
~ Raja Uda MRT
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.
