Accuracy and reliability

Overall accuracy

For the reference year 2023 there are 80 enterprises in the statistics and a useful response rate of 95 pct., covering 99 pct. of the total turnover of the population. The lapse are due to wrong industry code and closure of the enterprises and non-responded questionnaires. The usable data from the enterprises grossed up to the total level (the target population) of the 6-digit industries within the sector for Architectural activities by using preliminary turnover from the Accounts Statistics for Non-Agricultural Private Sector.

Sampling error

The sampling error is equal to zero, as it is a total count.

Non-sampling error

The population is defined by the industry concerned, the enterprises registered in the Business Register by themselves. Errors of classification of the industries will be expected. This means that there may be enterprises in the population that really should not be classified within the concerned industry, but also companies in the concerned industry can be classified with the wrong industry. In the context of fault tracing and quality assurance of the statistics, a number of these errors are continuously found and corrected. Companies that are incorrectly classified within the concerned industry incorrectly increases the number of included enterprises. On the other hand there will be less enterprises in the population if they are classified entirely outside the concerned industry, even though they should properly be classified within the concerned industry, which can be difficult difficult to detect, but can be found also. The significance of these coverage problems are generally small because the volume is estimated to be small. Uncertainty due to lapse, incorrectly reported numbers and misunderstandings has sought to minimize by repeated reminders by non-reporting, as well as by substantial verification of the reported figures. Generally the services in the questionnaire are based on Statistical Classification of Products by Activity CPA CPA 2008, with an adjustment to Danish conditions. It can be an uncertainty in the distribution of turnover and export by services when the services CPA 2008 are not quite commensurate with the classification of products of the firms. There were 76 useable questionnaires within the population of 80.

Quality management

Statistics Denmark follows the recommendations on the organisation and management of quality set out in the Code of Practice for European Statistics and the accompanying implementation model, the Quality Assurance Framework. Read more about these on the page Quality in official statistics.

Quality management is supported by common principles, guidelines and managerial responsibility for quality in statistical products and processes. The aim is to ensure a systematic and consistent approach to quality across the entire statistical production.

Quality assurance

Quality assurance at Statistics Denmark is integrated into the statistical production processes and is carried out in accordance with the principles of the Code of Practice for European Statistics. Read more on the page Quality in official statistics.

Quality assurance includes the continuous use of standardised procedures, documentation in line with international standards and internal controls related to data collection, data processing and dissemination. Experience gained from production is continuously used to identify needs for adjustments and improvements.

Quality assessment

The quality is estimated to be high as the statistics is based on a total count with a high response rate. Furthermore because because the statistics uses the turnover from the Accounts Statistics for Non-Agricultural Private Sector. The figures are preliminary and will not revised in the national publishing. For delivery to EU the figures are calculated (revised) based on the turnover in the final version of the Accounts Statistics for Non-Agricultural Private Sector.

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

The published data will not be revised, since the statistics is published once every second year.