Random address in 동대문구, 서울특별시, South Korea

60 postcode areas in 동대문구, 서울특별시, 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 동대문구, 서울특별시, South Korea

10 addresses generated.

  1. Street address
    역전로 2
    City
    동대문구
    Postcode / ZIP
    02533
    State / region
    서울특별시
    Country
    South Korea
  2. Street address
    새마을로 106
    City
    동대문구
    Postcode / ZIP
    02601
    State / region
    서울특별시
    Country
    South Korea
  3. Street address
    문화로 13
    City
    동대문구
    Postcode / ZIP
    02582
    State / region
    서울특별시
    Country
    South Korea
  4. Street address
    테헤란길 7
    City
    동대문구
    Postcode / ZIP
    02562
    State / region
    서울특별시
    Country
    South Korea
  5. Street address
    구청길 14
    City
    동대문구
    Postcode / ZIP
    02500
    State / region
    서울특별시
    Country
    South Korea
  6. Street address
    중앙로 81
    City
    동대문구
    Postcode / ZIP
    02540
    State / region
    서울특별시
    Country
    South Korea
  7. Street address
    희망길 2
    City
    동대문구
    Postcode / ZIP
    02630
    State / region
    서울특별시
    Country
    South Korea
  8. Street address
    중앙길 65
    City
    동대문구
    Postcode / ZIP
    02513
    State / region
    서울특별시
    Country
    South Korea
  9. Street address
    서문길 200
    City
    동대문구
    Postcode / ZIP
    02572
    State / region
    서울특별시
    Country
    South Korea
  10. Street address
    상공대로 210
    City
    동대문구
    Postcode / ZIP
    02570
    State / region
    서울특별시
    Country
    South Korea
Population
  1. 강남구
  2. 강동구
  3. 강북구
  4. 강서구
  5. 관악구
  6. 광진구
  7. 구로구
  8. 금천구
  9. 노원구
  10. 도봉구
  11. 동작구
  12. 마포구

Anatomy of an address in 동대문구, 서울특별시, South Korea

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

Postcode pattern
#####
Postcode areas
60
  1. 서울특별시 동대문구region · city
  2. 올림픽길 58street and number
  3. 02591postcode
  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 동대문구?

Line by line: region city district / street and number / postcode / COUNTRY. For example: 서울특별시 동대문구, 올림픽길 58, 02591, SOUTH KOREA.

What is the postcode format in 동대문구?

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

Which postcode areas does 동대문구 have?

동대문구 has 60 postcode areas in our data, for example 02500, 02501, 02502, 02503, 02510, 02511.

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