Profiling in the NetherlandsPractices

Maria Piszczek

René Heijstek

Business Register

One register different ways of maintenance:

350 biggest enterprises (TOP 350) financial and governmental enterprises the rest

Register and sampling (survey sample) Our scope: TOP 350

Concern coordination

the group: coordinators and profilers group work communication within SN and beyond it

profiling base Business register Respondents other

maintetnance legal structure statistical structure

confrontation of the data: vary of statistics

Legal structure

Legal structure - details

Practices - examples

Telecom company

legal structure is very complex statistical structure follows company division structure

Unique ID Name % ownership17296889 Telecom Company NV

─43357253 Telecom 1 100──11372826 Telecom 2 100─40713199 Telecom 3 100──39207056 Telecom 4 100──16347080 Telecom 5 100─46138285 Telecom 6 100─24403911 Telecom 7 100──38152991 Telecom 8 100─17484863 Telecom 9 100──36328715 Telecom 10 100──25626027 Telecom 11 100──44978774 Telecom 12 100───41701526 Telecom 13 100──18084168 Telecom 14 100─44120273 Mobile 1 100──38611929 Mobile 2 100───40174069 Mobile 3 100────40174085 Mobile 4 100─────41169794 Mobile 5 100───38615312 Mobile 6 100────72037210 Mobile 7 100───26914417 Mobile 9 100───41727711 Mobile 10 100─23172037 Mobile 11 100─69252017 Mobile 12 100──14579251 ICT BV 80───43787568 ICT 1 100────33833141 ICT 2 100────22081143 ICT 3 60────27306887 ICT 4 100───37130498 ICT 5 100───15958167 ICT 6 100───17463025 ICT 9 100────38199661 ICT 10 100─────19341393 ICT 11 100─────36137707 ICT 12 100─────19145233 ICT 13 100─────24819034 ICT 14 100─────15485544 ICT 15 100─66443326 TELECOM NETHERLANDS B.V. 51──42754836 TELECOM EUROPE LIMITED 51

Case

change in legal structure and it’s consequences for different statistics:

SFO – annual and quaterly P&L Investments International trade in services

Before

Legal change

After profiling

Refining company

foreign parent company refining and sale activities in NL

Legal structure

Case

change in ownership of the goods

and change in statistical structure as result of the analyse of the data from InSudan BV in cooperation with DNB impact of those changes on the statistics

Summary

Thank you