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Random address in Grand Waterfront, Kowloon City, Hong Kong

1 postcode areas in Grand Waterfront, Kowloon City, Hong Kong. Every address keeps the real city, region and postcode together; the street and house number are invented.

TempGeneratorGetting things ready…

Test data: real cities, regions and postcodes with invented streets and house numbers. Not verified for delivery. Do not use them to pass identity or address checks, to order deliveries, or to mislead anyone.

Type 2+ letters and pick a city.

1–100 per batch.

Random addresses in Grand Waterfront, Kowloon City, Hong Kong

10 addresses generated.

  1. Street address
    Flat F, 1/F, 111 Shau Kei Wan Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  2. Street address
    Flat A, 2/F, 12 Hollywood Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  3. Street address
    Flat F, 3/F, 30 Hennessy Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  4. Street address
    Flat H, 40/F, 21 Argyle Street
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  5. Street address
    Flat F, 7/F, 222 Shau Kei Wan Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  6. Street address
    Flat C, 38/F, 6 Ma Tau Wai Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  7. Street address
    Flat D, 38/F, 107 Prince Edward Road West
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  8. Street address
    Flat A, 13/F, 4 Gloucester Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  9. Street address
    Flat B, 22/F, 34 Des Voeux Road Central
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
  10. Street address
    Flat E, 11/F, 78 Canton Road
    City
    Grand Waterfront
    State / region
    Kowloon City
    Country
    Hong Kong
Population
  1. Kowloon City 418,732
  2. Kai Tak 42,552
  3. Whampoa 39,134
  4. Whampoa Garden 30,038
  5. Tsim Sha Tsui 24,557
  6. Ma Tau Wai 20,185
  7. Ho Man Tin 19,830
  8. Sung Wong Toi 19,078
  9. Kowloon Tong 18,849
  10. Tak Long Estate 18,720
  11. Hok Yuen 18,091
  12. Laguna Verde 18,091

Anatomy of an address in Grand Waterfront, Kowloon City, Hong Kong

Addresses in Hong Kong are written without a postcode.

Postcode pattern
None
Postcode areas
1
  1. Flat G, 2/F, 10 Sai Yeung Choi Streetstreet and number
  2. Grand Waterfrontcity
  3. HONG KONGCOUNTRY
A fixed sample for this page. Generate above for new ones.

How to generate random addresses

  1. Choose a country, then a state or region, or search for a city.

  2. Set how many addresses you need (1–100) and generate.

  3. Copy one field, one address or the whole batch, or download it as JSON or CSV.

Where the places come from

Cities, regions and postcodes come from GeoNames under a CC BY 4.0 licence. Streets and house numbers are built from common local street names, so a match with a real address is a coincidence.

GeoNames CC BY 4.0

Useful for forms and software tests

Test checkout and shipping forms, postcode validation, address layouts in other languages, database seeds and demos. Store postcodes as text: many start with zero or contain letters.

Questions about random addresses

How do you write an address in Grand Waterfront?

Line by line: street and number / district / city / COUNTRY. For example: Flat G, 2/F, 10 Sai Yeung Choi Street, Grand Waterfront, HONG KONG.

What is the postcode format in Grand Waterfront?

Addresses in Grand Waterfront are written without a postcode.

Are these real addresses?

The city, region and postcode are real and appear together in postal data. The street and house number are invented, so the full address is test data and is not checked for delivery.

Can I generate many addresses at once?

Yes, up to 100 per batch. Copy them all or download JSON or CSV. Places can repeat when a city has few postcodes, but every address in a batch is different.

Can I link to a batch or use it in a script?

Every country, region and city has its own page. Add ?count=25 to the page address to set the batch size, or add &format=json to get JSON.

All countries

247 countries and territories, 493,219 cities and towns, 1,632,591 postcode areas.

Europe 53

Asia 51

North America 41

South America 14

Africa 58

Oceania 27

Antarctica 3