Deep Water Pavilia Residential Project
Sector: Water Supply and Storage • Location: Hong Kong
Source: South China Morning Post
Deep Water Pavilia is a luxury residential project led by New World Development located on the south side of Hong Kong Island in Wong Chuk Hang. The project consists of 447 flats ranging from 455 sq ft to 1,261 sq ft, including two-, three-, and four-bedroom units. The first batch of 138 flats was sold out within seven hours, with prices ranging from HK$8.5 million to HK$37.2 million, reflecting a
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | Under Construction |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Deep Water Pavilia is a luxury residential project led by New World Development located on the south side of Hong Kong Island in Wong Chuk Hang. The project consists of 447 flats ranging from 455 sq ft to 1,261 sq ft, including two-, three-, and four-bedroom units. The first batch of 138 flats was sold out within seven hours, with prices ranging from HK$8.5 million to HK$37.2 million, reflecting a 30% discount compared to similar projects. The project is conveniently located on top of an MTR station and is expected to be completed by November 30, 2026. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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Article Published Date | Obfuscated Data |