Accuracy and reliability
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Food Industries, Business StatisticsMona Larsen
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It is mandatory for farmers to report which animals leave the property and where they come. At the same time, it is mandatory for slaughters to register all animals that are slaughtered. In the slaughterhouses, the slaughter weight, the assessment of the carcase, etc. the register of each animal, which includes used to settle the animal. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated down payment paid by the cooperatives and only realized after the end of the year and can thus cause uncertainty about the accrual.
Overall accuracy
The statements of slaughterings both in bulk and in quantities are of high quality, as it is compulsory to report this information, in addition, this information forms the basis for the settlement to the farmer. There are total figures for the quantities with very high coverage. The price and value calculations may be subject to a minor periodic shift.
Sampling error
Not relevant for these statistics.
Non-sampling error
There may be a smaller periodic displacement. Home slaughtering is an estimate.
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
For the quantities, these are total inventories at a very high level, as it is statutory that all slaughtering must be registered. The data on prices and values may be subject to minor time lags.
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
Revision of data back to previous years rarely occurs, but can be revised monthly, when the year's final figures are available.