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Random address in Darmstadt, Hessen, Germany

8 postcode areas in Darmstadt, Hessen, 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 Darmstadt, Hessen, Germany

10 addresses generated.

  1. Street address
    Neue Straße 42
    City
    Darmstadt
    Postcode / ZIP
    64297
    State / region
    Hessen
    Country
    Germany
  2. Street address
    Bachplatz 13
    City
    Darmstadt
    Postcode / ZIP
    64283
    State / region
    Hessen
    Country
    Germany
  3. Street address
    Zur Mühle 5
    City
    Darmstadt
    Postcode / ZIP
    64293
    State / region
    Hessen
    Country
    Germany
  4. Street address
    Industriestraße 93
    City
    Darmstadt
    Postcode / ZIP
    64289
    State / region
    Hessen
    Country
    Germany
  5. Street address
    Am Sportplatz 59
    City
    Darmstadt
    Postcode / ZIP
    64291
    State / region
    Hessen
    Country
    Germany
  6. Street address
    Tannenring 57
    City
    Darmstadt
    Postcode / ZIP
    64285
    State / region
    Hessen
    Country
    Germany
  7. Street address
    Poststraße 63
    City
    Darmstadt
    Postcode / ZIP
    64287
    State / region
    Hessen
    Country
    Germany
  8. Street address
    Gartenring 18c
    City
    Darmstadt
    Postcode / ZIP
    64295
    State / region
    Hessen
    Country
    Germany
  9. Street address
    Burggasse 26b
    City
    Darmstadt
    Postcode / ZIP
    64297
    State / region
    Hessen
    Country
    Germany
  10. Street address
    Sonnenallee 100
    City
    Darmstadt
    Postcode / ZIP
    64291
    State / region
    Hessen
    Country
    Germany
Population
  1. Frankfurt am Main 650,000
  2. Wiesbaden 288,850
  3. Kassel 197,230
  4. Offenbach 119,192
  5. Gießen 89,179
  6. Hanau 88,648
  7. Marburg 78,895
  8. Fulda 63,760
  9. Rüsselsheim 59,730
  10. Wetzlar 52,656
  11. Bad Homburg vor der Höhe 51,859
  12. Oberursel 46,736

Anatomy of an address in Darmstadt, Hessen, Germany

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

Postcode pattern
#####
Postcode areas
8
  1. Friedensallee 82street and number
  2. 64287 Darmstadtpostcode · 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.

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 Darmstadt?

Line by line: street and number / postcode city / COUNTRY. For example: Friedensallee 82, 64287 Darmstadt, GERMANY.

What is the postcode format in Darmstadt?

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

Which postcode areas does Darmstadt have?

Darmstadt has 8 postcode areas in our data, for example 64283, 64285, 64287, 64289, 64291, 64293.

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