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出售

2607 Ken Rimba Condo Shah Alam by Emily

Shah Alam, Selangor

RM 550,000

房源类型

出售

房源编号

20260707223510

发布者

姓名: EMILY KHO
REN: E31353
代理公司: Vivahomes Realty (Kota Damansara) (E(3)1353)
电话: 017-9040612
WhatsApp

快速摘要

2607 Ken Rimba Condo Shah Alam by Emily 是位于 Shah Alam, Selangor 的永久地契公寓,出售,坐落于 Ken Rimba Condominium 1, Seksyen 16。半配家具,建筑面积1076平方尺,设有3间卧室、2间浴室和2个停车位。业主开价RM 550,000,可议价。欢迎联系代理安排看房。

房产规格

The Edge Headline

KEN Rimba Condominium 1, Shah Alam, Selangor

地契

永久地契

建筑面积 (平方英尺)

1076

土著单位

否

家具

部分家具

卧室

3

浴室

2

停车位

2

邮区编号

40200

Property Guru Area

Shah Alam

Property Guru Township

Seksyen 16

可议价

是

新盘单位数

-

地契类型

分层地契

土地用途

住宅

单位类型

中间单位

楼层

低楼层

建成年份

2018

Property Name Property Guru Suggested

KEN RIMBA CONDOMINIUM 1

出租类型

整个单位

入住状况

空置

描述

Ken Rimba Condominium 1, Seksyen 16 Shah Alam
Condo for Sale
================

- Condition: Full Furnish
- Built Up: 1076 sqft
- 3 Bedrooms, 2 Bathrooms
- 2 Car Park

= Owner asking RM550K l Welcome View & Offer =

For More Info & Viewing Arrangement, call
Emily Kho (REN 06656)
017-9040612

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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