A simple, clean, and structured JSON dataset of Iranian, Turkish provincial license plates, and international vehicle codes. This dataset is designed for easy integration into any development project requiring vehicle code data.
- Iran Provinces: All 31 provinces with Farsi and English names, each with a list of major cities and their specific license plate codes.
- Turkey Provinces: All 81 provinces with Turkish and Farsi names and their official plate codes.
- International Vehicle Codes: Official oval codes for countries worldwide, with English and Farsi names.
Each province includes:
province_fa: Farsi nameprovince_en: English namecities: Array of objects (city_fa,city_en,code)
Example:
{
"province_fa": "تهران",
"province_en": "Tehran",
"cities": [
{ "city_fa": "تهران", "city_en": "Tehran", "code": "11, 22, 33, 44, 55, 66, 77, 88, 99" }
]
}Each entry includes:
code: Numeric codeprovince_tr: Turkish nameprovince_fa: Farsi name
Example:
{
"code": "34",
"province_tr": "İstanbul",
"province_fa": "استانبول"
}Each entry includes:
country_fa: Farsi namecountry_en: English namecode: Official code
Example:
{
"country_fa": "ایران",
"country_en": "Iran",
"code": "IR"
}You can use this dataset in any language or platform that supports JSON. Here is a sample code in JavaScript and Python:
const data = require('./list-code.json');
console.log(data.iran_provinces[0].province_en); // Output: East Azerbaijanimport json
with open('list-code.json', encoding='utf-8') as f:
data = json.load(f)
print(data['iran_provinces'][0]['province_en']) # Output: East Azerbaijan- Vehicle registration services
- Mobile or web apps showing regional information based on plate codes
- Data analytics and research on regional vehicle statistics
This project is licensed under the MIT License. See the LICENSE file for details.