Random address in Freren, Niedersachsen, Germany

1 postcode areas in Freren, Niedersachsen, Germany. 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 Freren, Niedersachsen, Germany

10 addresses generated.

  1. Street address
    Sonnenring 7
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  2. Street address
    Alte Dorfstraße 11
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  3. Street address
    Beethovenweg 12a
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  4. Street address
    Ahornstraße 79
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  5. Street address
    Burgweg 30
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  6. Street address
    Goetheplatz 70
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  7. Street address
    Lutherstraße 26
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  8. Street address
    Am Markt 39
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  9. Street address
    Eichenstraße 13
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
  10. Street address
    Rosenstraße 25
    City
    Freren
    Postcode / ZIP
    49832
    State / region
    Niedersachsen
    Country
    Germany
Population
  1. Hannover 515,140
  2. Braunschweig 244,715
  3. Osnabrück 166,462
  4. Oldenburg 159,218
  5. Wolfsburg 123,064
  6. Göttingen 122,149
  7. Salzgitter 104,970
  8. Hildesheim 103,052
  9. Wilhelmshaven 84,393
  10. Delmenhorst 75,893
  11. Lüneburg 71,260
  12. Celle 71,010

Anatomy of an address in Freren, Niedersachsen, Germany

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

Postcode pattern
#####
Postcode areas
1
  1. Schlossgasse 48street and number
  2. 49832 Frerenpostcode · city
  3. GERMANYCOUNTRY
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 Freren?

Line by line: street and number / postcode city / COUNTRY. For example: Schlossgasse 48, 49832 Freren, GERMANY.

What is the postcode format in Freren?

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

Which postcode areas does Freren have?

Freren has 1 postcode areas in our data, for example 49832.

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