Accuracy and reliability

Overall accuracy

Since all units in the population for manufacturing industry is covered by the census the overall reliability of the final results is estimated to be very high and consistent with the actual consumption.

Insecurity derives mainly from undetected errors in the collected data, in example if types of energy are missing in the reporting.

Sampling error

Not relevant, since the reporting units cover all units in the frame.

Non-sampling error

Uncertainty is mainly connected to measurement errors.

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

In general the quality of the statistics is good.

Since the reporting units cover the entire population frame, the sampling errors are eliminated. On the other hand, the statistics is affected by other errors, mainly measurement errors.

The two primary sources of inaccuracy in the statistics are:

• Reports containing errors
• Typing mistakes when data are entered

Error reporting are addressed in the liability checks, which ensure a good data quality.

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

Only final figures are produced and there have been no revisions recently.