Accuracy and reliability
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Food Industries, Business StatisticsMona Larsen
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The reliability of the variables for cattle is considered to be good. The information about cattle comes from the Danish Veterinary and Food Administration's database, the Central Livestock Register (CHR) and the cattle database owned by SEGES. There is a large control of data in these registers, as it is mandatory that all cattle must be registered in CHR
Overall accuracy
Data for the calculation of the cattle population originate from registers where it is mandatory for all cattle to be registered. There is therefore good reason to assume that the statistics are very accurate in terms of measuring the total legal stock of cattle. Cattle kept illegally are not included in the statistics, which is not expected to have any significant effect on the result.
Sampling error
The number is based on a complete enumeration, hence the coefficient of variation is zero.
Non-sampling error
The greatest uncertainty for this statistic is due to the lack of or late updating of the administrative registers that form the basis of the inventory. But it is considered very small, as it is mandatory to update within 7 days.
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 general assessment is that the quality of the statistics are high, because the quality of the registers is high. Because it is a compulsory register, where all cattle have to be registered.
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 published.