Apartment Saujana Ria, Taman Wangsa Permai
Kepong, Kuala Lumpur
RM 170,000
Specifications
Tenure
Built Up Area
650
Bumiputera Lot
Yes
Bedrooms
Bathrooms
Car Park
Negotiable
Yes
New Launch Units
-
Auction Date
10-03-2022 16-55
Auction Number
-
Features
Description
APARTMENT SAUJANA RIA ,TAMAN WANGSA PERMAI,
[LOW COST UNIT]
ASKING PRICE : RM 170,000 (Nego)
DETAILS:
Leasehold (Bumi Lot)
Strata Title
Size: 650 sqft
Floor: 3
Bedroom : 3
Bathroom : 2
LOW COST UNIT
Maintenance fee: RM60
. Tenanted: RM600/Month
FACILITIES & AMENITIES:
7eleven
KK mart
99 speedmart
MCDonalds
Shell
KTM kepong sentral
Bank
Restaurant
Pos laju
Car wash
Hospital sungai buloh
Kepong metropolitan park
Masjid imam al-Ghazali
Tesco mini
Kedai runcit
ACCESSIBILITIES:
Federal Territory Kuala Lumpur
DUKE
====================
ASKING PRICE : RM 170,000 (Nego)
====================
CONTACT:
Ilham Baharom
REN 50306
MN Associates Sdn Bhd
Call/Msg/Telegram
0127060584
Whatapps
http://www.wasap.my/60127060584
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.