Random address in 동구, 광주광역시, South Korea

60 postcode areas in 동구, 광주광역시, South Korea. 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 동구, 광주광역시, South Korea

10 addresses generated.

  1. Street address
    학교대로 236
    City
    동구
    Postcode / ZIP
    61508
    State / region
    광주광역시
    Country
    South Korea
  2. Street address
    세종로 57
    City
    동구
    Postcode / ZIP
    61474
    State / region
    광주광역시
    Country
    South Korea
  3. Street address
    역전대로 183
    City
    동구
    Postcode / ZIP
    61471
    State / region
    광주광역시
    Country
    South Korea
  4. Street address
    구청로 264
    City
    동구
    Postcode / ZIP
    61463
    State / region
    광주광역시
    Country
    South Korea
  5. Street address
    한빛로 60
    City
    동구
    Postcode / ZIP
    61422
    State / region
    광주광역시
    Country
    South Korea
  6. Street address
    강남길 93
    City
    동구
    Postcode / ZIP
    61495
    State / region
    광주광역시
    Country
    South Korea
  7. Street address
    충장로 28
    City
    동구
    Postcode / ZIP
    61410
    State / region
    광주광역시
    Country
    South Korea
  8. Street address
    시청길 169
    City
    동구
    Postcode / ZIP
    61491
    State / region
    광주광역시
    Country
    South Korea
  9. Street address
    동문로 223
    City
    동구
    Postcode / ZIP
    61432
    State / region
    광주광역시
    Country
    South Korea
  10. Street address
    번영로 34
    City
    동구
    Postcode / ZIP
    61472
    State / region
    광주광역시
    Country
    South Korea
Population
  1. 광산구
  2. 남구
  3. 북구
  4. 서구

Anatomy of an address in 동구, 광주광역시, South Korea

Postcodes come from GeoNames postal data and belong to the city shown.

Postcode pattern
#####
Postcode areas
60
  1. 광주광역시 동구region · city
  2. 대학대로 7street and number
  3. 61472postcode
  4. SOUTH KOREACOUNTRY
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.

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 동구?

Line by line: region city district / street and number / postcode / COUNTRY. For example: 광주광역시 동구, 대학대로 7, 61472, SOUTH KOREA.

What is the postcode format in 동구?

South Korea uses the postcode pattern #####, where # is a digit and @ is a letter.

Which postcode areas does 동구 have?

동구 has 60 postcode areas in our data, for example 61400, 61401, 61402, 61403, 61404, 61410.

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