Skip to content

Privacy and Cookie Policy

We use cookies to improve the user experience. By continuing on this page, you accept our use of cookies.

OK

Please read our Privacy and Cookie Policy here to find out more.

Accuracy and reliability

Contact info

Business Dynamics, Business Statistics
Jesper Moltrup-Nielsen
+45 39 17 38 56

jmn@dst.dk

Get as PDF

High Growth Enterprises

There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies.

Overall accuracy

The statistics are based on figures already in business demography statistics. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies.

Sampling error

Not relevant for this statistics.

Non-sampling error

The uncertainty associated with the statistics is related to the mechanical and manual processing of companies that are not really new to the business structure. This treatment is done in the statistics on business demography, but may have an influence on the input population for this statistic.

Quality management

Statistics Denmark follows the recommendations on organisation and management of quality given in the Code of Practice for European Statistics (CoP) and the implementation guidelines given in the Quality Assurance Framework of the European Statistical System (QAF). A Working Group on Quality and a central quality assurance function have been established to continuously carry through control of products and processes.

Quality assurance

Statistics Denmark follows the principles in the Code of Practice for European Statistics (CoP) and uses the Quality Assurance Framework of the European Statistical System (QAF) for the implementation of the principles. This involves continuous decentralized and central control of products and processes based on documentation following international standards. The central quality assurance function reports to the Working Group on Quality. Reports include suggestions for improvement that are assessed, decided and subsequently implemented.

Quality assessment

The uncertainty associated with the Business Demographic statistics is associated with the references between the entities which mainly comes from the Danish Tax Authorities Business System (WEB), and lack of knowledge of the transfer of activity from one company to another, including the separation of activity. Failure to do so can result in economic and employment data are not correctly linked to the individual units. The problem is being tackled by subjecting, especially the largest firms, to a manual control and error recovery. For businesses with employees, the knowledge on where the employees have been employed during the year. A large shift of employees can mean the transfer of activity to another unit.

More information is available in the Business demography documentation of statistics. Business Demography.

There are currently no calculations on uncertainty .

Data revision - policy

Statistics Denmark revises published figures in accordance with the Revision Policy for Statistics Denmark. The common procedures and principles of the Revision Policy are for some statistics supplemented by a specific revision practice.

Data revision practice

From the reference period 2013-2016, both preliminary and final figures are published. When the preliminary figures are published, data on units and their employment should be so good that no major changes are expected to the number of new high growth companies. There may be changes in the turnover, since new sources have come from the companies' accounts in the sources of the statistics.