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Accounts Statistics for Agriculture

Last updated: 09-07-2020

The purpose of the accounts statistics is to analyse the economics in agriculture including horticulture. Agriculture is divided into conventional and organic farms.

In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts and for EU's information network for Agricultural Book-Keeping, INLB.

The accounts statistics for agriculture, horticulture and organic farming have been calculated, respectively since 1916, 1980 and 1996. The present form of the statistics has been calculated since 2008.

Statistical presentation

The statistics analyse the profit and loss accounts, balance and investments at the level of farms (enterprise level). The primary statistical data contain detailed accounts items, including items for turnover, purchases, costs, operating result of the year, assets, liabilities and investments. In addition to this, the personal finances of the households are analysed, as information on income outside of agriculture, paid taxes and private consumption are available for some farms.

The farms are broken down by full-time and part-time farms in accordance with the standard working consumption, which is estimated for the various agricultural activities and is applied for the purpose of avoiding an inexpedient impact on the quality of manpower, degree of mechanization and contract operations, which would be a consequence of the application of actual work performance. A full-time farm has a total workload of at least 1,665 hours.

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Statistical processing

The data material is gathered from accounting offices organized in the Danish Agriculture and Food Council and private auditors. It is gathered by using electronic data collection and questionnaires. The data is classified by the economic size is made on the basis of the total standard output (SO) of each individual farm. The SO is calculated for all types of crops and species of livestock as an average of the actual outputs (correspond to the Gross Output) per hectare or per animal in a reference period of 5 years. Data is checked and validated and afterwards the sample are weighted to the population.

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Relevance

This statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The collections of data also meets the Danish obligations towards the European Union's Farm Accountancy Data Network, FADN.

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Accuracy and reliability

The statistics are compiled on the basis of a sample population and consequently, the results are subject to some degree of statistical uncertainty. The sample is stratified with the aim of being representative for all farms. The statistical uncertainty differs for each individual item, and the largest degree of uncertainty is seen for items such as investments, which may vary considerably among the farms over time. From the population of small farms, where the variation is small, a relatively small sample is selected, while from the population of large farms a larger sample is used. Loss of sample farms are countered by higher selection rates in strata where losses do occur (based on experience).

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Timeliness and punctuality

The final statistics are published before 1st of October in the year after the accounting year while preliminary data for agriculture are published in the beginning of July..

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Comparability

The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output.

The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted.

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Accessibility and clarity

The figures are published in Nyt from Danmarks Statistik. The statistics is published in StatBank Denmark under Agricultural accounts statistics. Furthermore the numbers are published in an annual publicationpublication on agricultural accounts statistics. More information is available on the statistics subject page.

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