Statistical processing

Source data

Data to this statistics are based on a sample of financial accounts for full-time farms with agricultural and/or horticultural activity. Full-time farms are defined as farms using at least 1,665 working hours per year. The main source to the statistic is primarily account information from accounting offices organized in SEGES Innovation. This information is retrieved electronically from the accounting system Ø90 supplemented with some necessary additional information. In addition some financial data for a small number of holdings are retrieved from other independent accounting offices, which reports on an electronic questionnaire. Another source is the statistical data on agricultural structure from Statistics Denmark, which is the basis for determining the population.. Finally, records of subsidies are retrieved from the Danish Agricultural Agency.

Frequency of data collection

Yearly.

Data collection

Data are mainly collected as a system to system solution towards the common accounting system in SEGES Innovation called Ø90. Some account, from accountants not using Ø90, are delivered on questionnaires. The questionnaire can be found here.

Data validation

Before accounts are delivered to Statistics Denmark there are a number of tests, also stop-tests, in the accounting system Ø90 and in the questionnaires. After receiving the data at Statistics Denmark a sophisticated test is performed for each holding. The test is particular sophisticated because individual data are delivered to FADN, DG Agri.

The accounts are elaborated to this statistics for agricultural activities, where each activity are further tested for outliers.

Data compilation

Using econometric methods there have identified individual and average key figures for respectively conventional and organic farms, after which it is possible to distribute the cost items on productions branches and measure the financial result of each activity. The econometric analysis are carried out by Department of Food and Resource Economics at University of Copenhagen.

The sample is weighted by use of the SAS program CLAN that optimizes individual weights for some target variables.

Adjustment

Not relevant for this statistic.