Germany Address & Identity Data Generator
Generate Germany addresses and identities in your browser: correctly formatted postal codes, phone numbers and National ID Number, with the administrative division and city always taken from the same data record so they can never disagree. Every value is synthesised by algorithm and corresponds to no real person, address or account.
Germany at a glance
- Nationality
- German
- Official language
- German
- Currency
- EUR €
- Calling code
- +49
- Postal code
- 5 digits · Public postal data
- National ID
- National ID Number
- Format
- 1 letter · 8 digits
- Check digit
- Format only
- Top-level division
- State
- Divisions
- 16
- Cities covered
- 10940
Germany National ID Number format and check digit
Germany's National ID Number uses the format 1 letter · 8 digits. No check-digit algorithm has been published for it, so only the length and character structure are guaranteed; the interface marks it “format only” rather than implying the number is valid.
Germany postal code rules
Germany postal codes use the format 5 digits. The divisions and cities come from public postal data, so a code's prefix matches the country's actual districts.
Time zone of Germany
Germany keeps time in Europe/Berlin, UTC+01:00 – UTC+02:00 relative to UTC (UTC+02:00 during daylight saving).
How this is counted: the city zones come from GeoNames' `timezone` field, the main zone is the one holding most of the recorded population, and the largest city behind that choice is Berlin.
What Germany data is good for
Four jobs come up again and again with Germany records: testing signup and checkout forms, where an address, National ID Number and phone number in the local format exercise required-field, length and conditional validation; seeding a staging database so screens and API responses have something to render; filling a third-party form that asks for personal details without handing over your own; and demos, screenshots and design mockups, which need records that look real but belong to nobody.
Example address
- Full name
- Mette Ritschel
- Gender
- Female
- Date of birth
- 2004-05-02
- Full address
- Kornrand 1, 17309 Pasewalk, Germany
- Postal code
- 17309
- Phone
- +49 170 2230421
- National ID
- P33840017
- [email protected]
- Username
- metteritschel35
The record below is synthesised to show field formats. It is not real information.
Generate Germany data now
Generate Germany data nowLawful use of Germany data
Every Germany address and National ID Number here is synthesised by algorithm and belongs to no real person, address or account: the 16 divisions and 10940 cities on this page are real place names, while the house numbers, names and numbers are not. The postcode follows the country's real format. The generator guarantees only that the number follows the country's format (the number carries no real check digit and may not pass a check that verifies one), which does not mean it will not collide with a real person's, so use these records for testing, development, demos and privacy-preserving form filling, never to defraud anyone, pass as another person or circumvent the law. Values are generated locally and never uploaded; the privacy policy and disclaimer linked in the footer carry the full statement.
Frequently asked questions
Are Germany test addresses real?
No. Every field is synthesised by an algorithm and corresponds to no real person, address or account. The divisions and cities are real names; the house numbers, names and ID numbers are not.
Does the generated National ID Number pass validation?
Germany's National ID Number uses the format 1 letter · 8 digits. No check-digit algorithm has been published for it, so only the length and character structure are guaranteed; the interface marks it “format only” rather than implying the number is valid.
Can the postal code and city disagree?
No. The division, city and postal code come from one data record: a division is chosen, then a city within it, then a code built from that division's real postal rules.
Can I reproduce the same record?
Yes. The identity key determines every random draw, so the same key, country and gender always produce an identical record — which is what makes it usable as a fixed sample in automated tests.
These answers describe what this site's data and algorithms actually do. Nothing here is a guess.