id-validation

A library to validate and extract information from national id numbers


Keywords
id, numbers, validation
License
MIT
Install
pip install id-validation==0.4.1

Documentation

A library for validating national id numbers and extracting any embedded data from them.

Currenty only South Africa and Zimbabwe are implemented but more countries will be added over time

Installation

pip install id-validation

Usage

from id_validation import ValidatorFactory
validator = ValidatorFactory.get_validator("ZW")

# Use the validate method to test whether a number is valid or not according to country-specific rules
assert validator.validate("50-025544-Q-12")

# The extract data method returns any data that might be encoded into the id number. This is country specific.
data = validator.extract_data("50-025544-Q-12")
assert data["registration_region"] == "Mutasa"
assert data["district"] == "Chivi"
assert data["sequence_number"] == "025544"

Countries

The following codes are available:

BW - Botswana
NG - Nigeria
ZA - South Africa
ZA_OLD - South African (Apartheid-era). See the note below for more information
ZW - Zimbabwe

Botswana (BW)

Note - the validation logic has been implemented from anecdotal information available online and not against official documentation.

>>> import id_validation
>>> from id_validation import ValidatorFactory
>>> validator = ValidatorFactory.get_validator("BW")
>>> validator.validate("379219515")
True
>>> validator.extract_data("379219515")
{'gender': 'Male'}

Nigeria

Nigerian id numbers consist of 11 randomly selected digits. Find the regulations here.

>>> import id_validation
>>> from id_validation import ValidatorFactory
>>> validator = ValidatorFactory.get_validator("NG")
>>> validator.validate("35765421356")
True

South Africa (ZA)

South African ids contain the following information:

  • Date of birth
  • Gender
  • Citizenship (citizen or permanent resident)
>>> import id_validation
>>> from id_validation import ValidatorFactory
>>> validator = ValidatorFactory.get_validator("ZA")
>>> validator.validate("7106245929185")
True
>>> validator.extract_data("7106245929185")
{'dob': datetime.datetime(1971, 6, 24, 0, 0), 'gender': <GENDER.MALE: 1>, 'checksum': 5, 'citizenship': <CITIZENSHIP_TYPE.PERMANENT_RESIDENT: 1>}

South Africa - Apartheid-era (ZA_OLD)

Apartheid-era South African ids contain the following information:

  • Date of birth
  • Gender
  • Race
>>> import id_validation
>>> from id_validation import ValidatorFactory
>>> validator = ValidatorFactory.get_validator("ZA_OLD")
>>> validator.validate("7106245929185")
True
>>> validator.extract_data("7106245929185")
{'dob': datetime.datetime(1971, 6, 24, 0, 0), 'gender': <GENDER.MALE: 1>, 'checksum': 5, 'race': <RACE.CAPE_COLOURED: 1>}

Note

These id numbers were used during the Apartheid-era. They encoded the race of the ID holder. The 1986 Identification Act removed this identifier and all id numbers were changed to the more modern version which only encodes citizenship. This validator is included for completeness. I have never seen an old id number in any dataset I have ever worked with, so avoid using it unless you are sure that your ids are pre-1986. More information can be found here

Zimbabwe (ZW)

Zimbabwe IDs contain the following information:

  • Registration region
  • Father's district
>>> import id_validation
>>> from id_validation import ValidatorFactory
>>> validator = ValidatorFactory.get_validator("ZW")
>>> validator.validate("50-025544-Q-12")
True
>>> validator.extract_data("50-025544-Q-12")
{'registration_region': 'Mutasa', 'district': 'Chivi', 'sequence_number': '025544'}