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Company Register 100% open


What data is expected?

List of registered (limited liability) companies. The submissions in this data category do not need to include detailed financial data such as balance sheet, etc. Open data from company registers may be used for many ends: e.g. enabling customers and businesses to see with whom they deal, or to see where a company has registered offices. This definition draws on the work of OpenCorporates.

  • Name of company
  • Company address
  • Unique identifier of the company
  • Register available for entire country

How open is the data?

Ukraine's company data was opened in April 2016.

Your submission is valid. Thank you very much for contributing to the Global Open Data Index. Company data including name, number, and address are available online free of charge, updated no later than 5 days after making changes, and downloadable at once in Zipped .XML format on three different web sources: the State Enterprise "National Information Systems" - Unified State Register of Legal Entities and Individuals - Entrepreneurs and Community Groups, the Ministry of Justice, and the Open Data portal. As the submitter has commented, State Enterprise "National Information Systems" administers registry on behalf of the Ministry of Justice of Ukraine. Description pages, direct and metadata links are provided. Data can be found on Ukraine's open data portal, and on government agency's official sites. Originally, the data were found on Facebook news feed, in the first hours of announcement. In addition, economical activity NACE code, director and registration status are provided. More fields are available through online form. XML contains non-UTF-8 charset. Previously it was in .CSV but has now changed to .XML format. Payment is required only for additional fields and API. Direct links to full zip-archives are provided. No formal license is mentioned, but the terms of use are on every page of the open data portal. Though there's no licence mentioned, terms of use are identical to Creative Commons Attribution 1.0 Generic According to the submitter, .XML isn't quite user-friendly as you need to parse it and put to some database first. There are unofficial scripts on GitHub:

Data location - description of dataset, source 1 - zip-archive of dataset, source 1 - description of dataset, source 2 - zip-archive of dataset, source 2 - description of dataset, source 3 - metadata of the dataset with history, source 3
Data licence
Data format   XML
Reviewer   Evangelia Kampouri
Submitters   Vanya Yani
Last modified   Fri Dec 02 2016 05:33:33 GMT+0000 (UTC)



  • Evangelia Kampouri


  • Vanya Yani
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