Setia Safiro Cyberjaya
Cyberjaya, Selangor
RM 1,050,000
Property Type
Listing Type
Property ID
20240312090646
Location
Specifications
Tenure
Land Area
1400
Built Up Area
1828
Bumiputera Lot
Yes
Furnishing
Bedrooms
Bathrooms
Car Park
Postcode
Township
[Facing Taman ] Setia Safiro Cyberjaya
Address
Setia Safiro Cyberjaya
New Launch Units
-
Auction Date
27-02-2024 00-03
Auction Number
-
Title Type
Land Title Type
Occupancy
Unit Type
Year Built
2020
Description
- Phase 2 (Elamor)
- Land size: 1400 sqft (20 x 70)
- Built up: 1828 sqft approx
- 4 bedrooms 3 bathrooms
- Vacant (completion 2020)
- Maintenance Fees RM150 approx
- Renovated with kitchen cabinet
:
- 24H Security/Gated guarded
- Beautiful Spanish living and landscape
- Clubhouse/Swimming Pool/Gym/Garden/Playground and etc
:
- Kenwingston Square Garden
- Brainy Bunch Islamic International School
- SK/SMK Cyberjaya
- Lim Kok Wing University/Cyberjaya University College
- King Henry VIII College/Tamarind Square
qi_ooi
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.
