The purpose of the felling statistics is to calculate physicaly production of wood, broken down by type and use, in the Danish forests, first and foremost for for calculating gross value added for the forestry.
A secondary goal is to describe the structure of the Danish forestry sector, for example number of forestry farms by region and size.
The statistics have been compiled since 1950.
The base for the statistics is a questionnaire survey among Danish forests with at least 0.5 hectares of wood land.
The statistics consist of four main subjects:
Area with wood land distributed by tree species, including Christmas trees, non-wooded land and temporarily non wooded land. The felling distributed by tree species and items. An important detail is the distinction between timber and firewood.
The base of the statistics is sample survey with questionnaires. The sample is representative for regions and size groups..
The questionnaires are completed online. Before publication the answers are validated where each single question is subject to a control for reliability.
There is no survey on user satisfaction but the main impression is a high degree of satisfaction, however many users would like to have figures for area with forestry by municipalities.
Due to a small sample of only 10 percent of the forests the sample error is higher than for similar agricultural surveys, also because a relatively big part of the felling is among small forests with a low coverage in the sample.
The sample error of felling of trees is 1.7 pct. is about 2 per cent.
The statistics are published in November the year after the reference year. The figures for 2018 were thus published November 18 2019.
The survey has always had the same standard and the same target population. Prior to the 2012 survey Statistics Denmark conducted a project aiming at improving the register of forestry farms. At the same time the extrapolation was for the first time made dependent on the total area with forestry. It means that the total felling in 2012 estimated to 3.1 million m3 should be seen as reliable whereas the results recent years before 2012 most likely are underestimated by about 500.000 m3.
The figures are published in:
Interested users can buy statistical tables not covered by the normal publication.