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出售

Berkeley Uptown

Klang, Selangor

RM 469,000

房源类型

出售

房源编号

20200922120423

发布者

代理公司: Full Homes Realty Sdn Bhd (E(3)1033)
WhatsApp

快速摘要

Berkeley Uptown 是一个位于 Klang, Selangor 的永久地契服务式公寓,现以 RM 469,000 出售。此半配家具单位建筑面积859平方英尺,设有2间卧室、2间浴室及2个停车位。该listing还提到免费空调、免费SPA及贷款律师费,以及两年免费管理费。欢迎立即联系代理查询或预约看房。

房产规格

地契

永久地契

建筑面积 (平方英尺)

859

土著单位

否

家具

部分家具

卧室

2

浴室

2

停车位

2

邮区编号

41400

花园区

Klang

新盘单位数

-

拍卖日期

22-09-2020 11-48

拍卖编号

-

地契类型

分层地契

土地用途

商业

单位类型

中间单位

描述

MERU NEW PROJECT
Limited Unit
Serviced Apartment
Located in the City centra of Klang.
1km to LRT3 Station.
1.5km to KTM Station.
Estimate Ready early year 2023
free Air-cond.
Free spa legal fee & Disbursement
Free loan legal fee, stamp duty & Disbursement
Free 2 years maintenance fee.

859sqft -SPA Rm469k 2 car park
1093sqft - SPA Rm563k 2 car park
1572sqft -Sold out
1588sqft - SPA RM827k 4 car park

Click Link to get Special Promotion:-
http://meruklanguptown.wasap.my
https://bit.ly/3dgJrdl
https://bit.ly/2VYZLJE
https://bit.ly/2YMa2Lc

Loan & Insurance Calculator

Estimates only

Rates: Bank Negara Malaysia (indicative effective lending rate), refreshed daily. Tap a bank to apply its rate.

10%

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.

附近设施

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Map data © OpenStreetMap contributors. Approximate location based on property name and area.

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