Random address in Limon, Mendoza, Argentina

1 postcode areas in Limon, Mendoza, Argentina. 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 Limon, Mendoza, Argentina

10 addresses generated.

  1. Street address
    Avenida Alvear 323
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  2. Street address
    Diagonal Urquiza 351
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  3. Street address
    Avenida Saavedra 1059
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  4. Street address
    Diagonal San Martín 215
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  5. Street address
    Avenida Callao 57
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  6. Street address
    Diagonal 9 de Julio 1347
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  7. Street address
    Avenida Moreno 196
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  8. Street address
    Boulevard Urquiza 57
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  9. Street address
    Calle Florida 690
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
  10. Street address
    Avenida Santa Fe 351
    City
    Limon
    Postcode / ZIP
    5533
    State / region
    Mendoza
    Country
    Argentina
Population
  1. San Rafael 118,009
  2. Mendoza 114,893
  3. General San Martin 82,549
  4. San Martin 82,549
  5. Tunuyan 38,367
  6. General Alvear 35,626
  7. Rivadavia 34,830
  8. Malargue 27,355
  9. Perdriel 19,321
  10. Rodeo del Medio 18,574
  11. Tupungato 16,893
  12. San Carlos 13,678

Anatomy of an address in Limon, Mendoza, Argentina

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

Postcode pattern
@####@@@
Postcode areas
1
  1. Diagonal Corrientes 217street and number
  2. 5533 Limonpostcode · city
  3. Mendozaregion
  4. ARGENTINACOUNTRY
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 Limon?

Line by line: street and number / postcode city / region / COUNTRY. For example: Diagonal Corrientes 217, 5533 Limon, Mendoza, ARGENTINA.

What is the postcode format in Limon?

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

Which postcode areas does Limon have?

Limon has 1 postcode areas in our data, for example 5533.

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