South Africa Address & Identity Data Generator
Generate South Africa addresses and identities in your browser: correctly formatted postal codes, phone numbers and Identity 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.
South Africa at a glance
- Nationality
- South African
- Official language
- English / Afrikaans
- Currency
- ZAR R
- Calling code
- +27
- Postal code
- 4 digits · Public postal data
- National ID
- Identity Number
- Format
- 6 digits - 4 digits - 3 digits
- Check digit
- Official check digit
- Top-level division
- Province
- Divisions
- 9
- Cities covered
- 1067
South Africa Identity Number format and check digit
South Africa's Identity Number uses the format 6 digits - 4 digits - 3 digits, and the official check-digit algorithm is implemented — a number this tool generates passes the same validation the real one would.
South Africa postal code rules
South Africa postal codes use the format 4 digits. The divisions and cities come from public postal data, so a code's prefix matches the country's actual districts.
Time zone of South Africa
South Africa keeps time in Africa/Johannesburg, UTC+02:00 relative to UTC.
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 Johannesburg.
What South Africa data is good for
Four jobs come up again and again with South Africa records: testing signup and checkout forms, where an address, Identity 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
- Curtis Boucher
- Gender
- Male
- Date of birth
- 1979-05-10
- Full address
- 4629 Hugenote, Bethulie, Free State 9992, South Africa
- Postal code
- 9992
- Phone
- +27 60 502 8792
- National ID
- 790510 9700 826
- [email protected]
- Username
- curtisboucher68
The record below is synthesised to show field formats. It is not real information.
Generate South Africa data now
Generate South Africa data nowLawful use of South Africa data
Every South Africa address and Identity Number here is synthesised by algorithm and belongs to no real person, address or account: the 9 divisions and 1067 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 a real check digit and passes the country's format and checksum checks), 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 South Africa 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 Identity Number pass validation?
South Africa's Identity Number uses the format 6 digits - 4 digits - 3 digits, and the official check-digit algorithm is implemented — a number this tool generates passes the same validation the real one would.
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.