Kenaria Condominium
Kajang, Selangor
RM 249,999
Property Type
Listing Type
Property ID
20211022184136
Location
Listed By
Specifications
Tenure
Built Up Area
850
Bumiputera Lot
No
Furnishing
Bedrooms
Bathrooms
Car Park
New Launch Units
-
Auction Date
22-10-2021 18-38
Auction Number
-
Description
Danial
REN 28081
FIRDAUS ASSOCIATES & REAL ESTATE AGENCY SB
Kenaria Condominium, Taman Kenari, Sg Ramal @ Kajang
DETAILS:
Type: Condominium
Leasehold Non Bumi Lot
Size ; 850 sqft
3 Bedroom 2 Bathroom
Maintenance Fee : RM110
RENOVATION: Marble flooring & Kitchen kabinet
FACILITIES:
Swimming Pool
Gated & Guarded
Playground
Function hall
Security 24 hours
NEARBY AMMENITIES:
100 m to Sekolah Rendah Sungai Ramal & Tadika Islam Al Fasih (2 minit)
100 m to 99 Speedmart, Workshop, Laundry Shop (2 minit)
300 m to Surau Taman Kenari (3 minit)
6.0 km to MRT & KTM Kajang
9.0 km to IOI City Mall & Hospital Serdang
EASY ACCESS:
PLUS highway
SKVE highway
LEKAS highway
PRICE:RM 250,000
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.