FLAT PKNS SEKSYEN 7 SHAH ALAM
Shah Alam, Selangor
RM 250,000
Listed By
Specifications
Tenure
Built Up Area
753
Bumiputera Lot
Yes
Bedrooms
Bathrooms
Car Park
Postcode
Township
Shah Alam
Address
Flat,PKNS,blok 48, Seksyen 7, Shah Alam, Selangor
Negotiable
No
New Launch Units
-
Auction Date
10-02-2022 13-29
Auction Number
-
Title Type
Land Title Type
Unit Type
Floor
High Floor
Furnishing
Description
Flat PKNS Seksyen 7
Jalan Plumbum 7/95,
Seksyen 7, 40000 Shah Alam, Selangor
Asking Price: RM250,000
Level: 4
Size: 753
Block: 28
Bedrooms: 3
Bathrooms: 2
Title: Leasehold
AMENITIES :
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- UiTM Shah Alam & UNISEL
- Sekolah Ren. Keb Seksyen 7
- Hospital Shah Alam & Klinik Kesihatan
- Masjid Seksyen 7
- i-City Mall
ACCESSIBILITIES:
--------------------
- Federal Highway
- NKVE Highway
- LKSA Highway
RUMAH BAHAGIA BERSAMA ANDA & KELUARGA
SHARE & LIkE
#Coa
Call/Whatsapp
0182745049
Hanis Syafiq(HANS)
Nilai Harta Shah Alam
Wasap.my/+601827545049/
https://www.facebook.com/hanissyafiqhartanah/
Loan & Insurance Calculator
Estimates onlyRates: Bank Negara Malaysia (indicative effective lending rate), refreshed daily. Tap a bank to apply its rate.
Monthly Instalment
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Loan Amount
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Total Interest
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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.
