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Binjai 8 Office Lot Partition Carpet KLCC Pavilion

KLCC, Kuala Lumpur

RM 5,000

房产类型

办公室

房源类型

出租

房源编号

20200825004833

发布者

REN: Taras Properties Sdn Bhd E(1)1926
代理公司: Others
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快速摘要

Binjai 8 Office Lot Partition Carpet KLCC Pavilion 是位于 KLCC, Kuala Lumpur 的尾端单位办公室,出租价格为 RM 5,000。此永久地契、分层地契单位位于中层,目前空置并配有全配家具。建筑面积1,347平方英尺,设有1个停车位,设施包括24小时保安和商务中心。欢迎联系代理安排看房。

房产规格

建筑面积 (平方英尺)

1347

家具

全配家具

停车位

1

租金押金

12500

新盘单位数

-

拍卖日期

25-08-2020 00-44

拍卖编号

-

地契类型

分层地契

入住状况

空置

单位类型

尾端单位

楼层

中楼层

可议价

是

描述

Binjai 8 is a luxury high-rise serviced residence located along Lorong Binjai, within the sought-after KLCC enclave. It is amongst the latest developments in the enclave, by the reputable UOA Group.

Located right behind Nikko Hotel, there are aplenty prestigious and exclusive amenities surrounding Binjai 8. To begin with, it is just 5 minutes walking away from KLCC Park, Al-Syakirin Mosque, Lotus Restaurant and Ampang Park Shopping Mall. Also, it is 3 minutes away from Ampang Park RapidKL LRT station, taxi stand and bus stop.

Property Details:
Name: Binjai 8
Address: Lorong Binjai, Kuala Lumpur
Developer: Scenic Point Development (a subsidiary of UOA Group)
Tenure: Freehold
Type: Office Suites
Built Up : 1,347 SF
Bedroom : 2
Bathroom : 2
Condition : Led Light , Pantry , Carpet , Partition
Rental : RM 5,000

Facilities:
Sky lounge
Full glass clad gymnasium
Swimming pool
Changing rooms
Water features
Meeting rooms
Business centre
Visitor's lounge
Function hall
Broadband ready
Lifts (8 units)
24-hour 3-tier security with guardhouse, CCTVs & access card system

For personalized presentation, please contact me.
It would be my pleasure to serve you.
(Picture Shown Not Actual Unit)

***Luff Lee 013-5841886***
***Luff Lee 013-5841886***
***Luff Lee 013-5841886***

Please call /sms/whatsapp /wechat/for more
information. Thank you.

Message Me If No Answer

Residential and Commercial Division
Email : [email protected]
*** Owner have unit can contact me as well ***

附近设施

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

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