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Documentation of statistics: Construction Activity

Contact info, Short Term Statistics, Business Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Construction Activity 2024 , Previous versions, Construction 2023, Construction 2022, Construction 2021, Construction 2020, Construction 2019, Construction 2018, Construction 2017, Construction 2016, Construction 2015, Construction 2014, The purpose of the Construction Activity statistics is to describe the development of the activity in construction in Denmark. The statistics are among other things used to estimate the business trends in the construction sector. The principal figures, i.e. without geographic distributions, is comparable back to 1998 and onwards, but historical surveys for the construction activity is available back to 1916., Statistical presentation, The quarterly construction statistics is a measurement of all construction activity demanding a building permit, stated in aggregated floor area in square meters and number of dwellings. The statistics are grouped by phase of construction, type of builder, type of building project and geographically, municipalities, regions and province. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank., The COVID-19 crisis should not have an impact on this statistic. We haves been in contact with several municipalities and the feedback is that their work registering construction in The Central Register of Buildings and Dwellings on which this statistic is based is not affected and continues as before., Read more about statistical presentation, Statistical processing, The construction activity statistics are compiled on the basis of data extracted from the Central Register of Buildings and Dwellings and is updated quarterly. Data valuations (correct errors) and a number of controls (valuations of quality) are carried out. Furthermore, different diverted variables and delimitations are formed. There are both non-corrected figures ("raw" figures) and corrected figures (because of delayed reporting). The quarterly publications also contain a seasonally adjustment., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, from both the private and the public sector, news media and Eurostat. From the private sector users are mainly large companies and business organizations, while mainly ministries and municipalities represent the public sector. , Furthermore, The statistics are used as input in the national accounts statistics, published quarterly by Statistics Denmark to calculate the gross value added for the construction sector and as input in other parts of Statistics Denmark, e.g. to calculate rent., Read more about relevance, Accuracy and reliability, In general, the latest figures for the construction activity must be regarded with reservations, because the data source is uncertain. The main source of inaccuracy is the delays in the municipality's data registrations in the Central Register of Buildings and Dwellings. The estimates made by Statistics Denmark attempt to address this problem. The model estimate the delays for the latest 18 months and revises the figures in respect hereof. The estimate is encumbered with uncertainty, because there is not a steady pattern in the size and causes of the delays. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics of construction are published quarterly (monthly as well as quarterly statistics). The statistics are published at the beginning of May, August, November and February. The punctuality is high and there are very few delays in relation to the scheduled dates., Read more about timeliness and punctuality, Comparability, The greatest obstacle for the comparability over time is the change in 1981 from the survey-based statistic to the register-based statistic (BBR). It gives both a break in time series and a market extension of the descriptive variables, see the section on comparability over time. , Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release. In the StatBank, these statistics can be found under , Producer and Import Price Index for Commodities, . For more information visit the subject page on , Construction, . It is also possible to purchase customized solutions through , DST Consulting, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-activity

Documentation of statistics

Documentation of statistics: Producer price index for renovation and maintenance

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Producer price index for renovation and maintenance 2025 , Previous versions, Producer price index for renovation and maintenance 2024, Producer price index for renovation and maintenance 2023, Producer price index for renovation and maintenance 2022, Producer price index for renovation and maintenance 2020, Producer price index for renovation and maintenance 2019, Producer price index for renovation and maintenance 2018, Producer price index for renovation and maintenance 2017, Producer price index for renovation and maintenance 2016, The purpose of the Producer price index for renovation and maintenance is to track the development of producer prices of renovation and maintenance tasks performed by Danish construction and craftsman companies. This covers the prices of services incl. the producer's direct costs and their profits, but excl. VAT. The statistics has been produced since 2017 with data for 2014 and onwards. It is used primarily to evaluate price developments in the construction industry, and to regulate prices and contracts., Statistical presentation, The producer price index for renovation and maintenance shows the yearly trends in the prices related to housing in Denmark. The prices are related to first commercial transactions. The first commercial transaction refers to the transaction between the requester and the producer, excl. VAT. The index reflects price changes for the production of refurbishment and maintenance services, i.e. the price the household pays a company to perform a standard refurbishment and maintenance task, such as a carpenter changing a window frame or a plumber installing a toilet., Read more about statistical presentation, Statistical processing, For the Producer price index for renovation and maintenance approximately 3,000 prices are collected from selected companies in Denmark. Prices are collected digitally. The index is calculated in a hierarchical system, where the first calculation is made on the most detailed level (basic indices). The detailed indices are subsequently weighted together to form aggregated sub indices, which are used to calculate the main index., Read more about statistical processing, Relevance, Producer price index for renovation and maintenance is used primarily to evaluate price developments in the construction industry, and to regulate prices and contracts. It is also used as a deflator in the Danish National Accounts for constant price calculations. User satisfaction levels have not been determined., Read more about relevance, Accuracy and reliability, The statistics is based on 3,000 prices from six craftsman trades. Prices are reported by businesses, which are selected according to turnover to achieve the highest possible coverage. As there are large differences between the trades, they are treated separately with separate samples. It is estimated that each trade has a coverage of at least 30 pct., and that the price development in each sample represents the development in the population at large., As the samples are not randomly selected the sampling error cannot be measured. However, overall, the index is assessed to be of high quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published yearly, approximately three months after the end of the reference period. Publications are released on time according to announced release times., Read more about timeliness and punctuality, Comparability, The statistics follows international standards and is therefore comparable with similar statistics from other European countries. A time series from 2014 until today is available., Read more about comparability, Accessibility and clarity, Producer price index for renovation and maintenance is published in the StatBank under the subject , Producer price index, and on the subject page , Indices for the construction sector, . In the StatBank the statistic is listed as , PRIS91, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-price-index-for-renovation-and-maintenance

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2024 , Previous versions, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the accounts statistics is to analyze 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 analyze 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 analyzed, 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 as well as types of farming., Read more about statistical presentation, Statistical processing, The data material is gathered from accounting offices organized in the Danish Agriculture and Food Council and private auditors 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 five years. Data is checked and validated and afterwards the sample are weighted to the population. , Read more about statistical processing, Relevance, These 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., Read more about relevance, Accuracy and reliability, The statistics are compiled on a sample population and consequently, the results are subject to some degree of uncertainty. The sample is stratified with the aim of being representative for all farms. 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)., Read more about accuracy and reliability, 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., Read more about timeliness and punctuality, 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., Read more about comparability, 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 publication, publication, on agricultural accounts statistics. More information is available on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-agriculture

Documentation of statistics

Documentation of statistics: International Trade in Goods by Enterprise Characteristics

Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Goods by Enterprise Characteristics 2022 , Previous versions, International Trade in Goods by Enterprise Characteristics 2021, International Trade in Goods by Enterprise Characteristics 2019, International Trade in Goods by Enterprise Characteristics 2018, International Trade in Goods by Enterprise Characteristics 2017, The purpose of Trade in Goods by Enterprise Characteristics (TEC) is to describe enterprises engaging in foreign trade, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2010 are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Goods by Enterprise Characteristics is an annual measurement of enterprises involved in foreign trade and their characteristics, stated in number of enterprises and value. The statistics are grouped by economic activity, enterprise size, partner countries, ownership, type of trade and concentration of trade until 2022. From 2023 the statistics will be a measurement of enterprises involved in foreign trade and their characteristics, stated in value and they will be grouped by economic activity, items, enterprise size and ownership. The statistics can be found in our statbank under the subject External Economy. , Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in Goods (ITGS) with Business register data. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, These statistics are relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to external trade in Denmark., Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Goods by Enterprise Characteristics is closely related to the accuracy of International Trade in Goods Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Goods Statistics., There may be changes in enterprise characteristics (e.g. size, industry and ownership) during a given year, which can give rise to a change the trade flows, but the statistics reflect the characteristics at the end of the year., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, These statistics have been disseminated since 2014 and contains values from 2010 and onwards. It is in its present form comparable from 2010 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other EU countries published by Eurostat. The comparability can be influenced by the difference between the general- and special trade system., Read more about comparability, Accessibility and clarity, These statistics are published annual in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the , International Trade in Goods, . The statistics can also be found in various publications and analysis’ and it is possible to gain access to microdata through our program for authorized research institutions., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-goods-by-enterprise-characteristics

Documentation of statistics

Documentation of statistics: Agricultural investments

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Agricultural investments 2024 , Previous versions, Agricultural investments 2023, Agricultural investments 2022, Agricultural investments 2021, Agricultural investments 2020, Agricultural investments 2019, Agricultural investments 2018, Agricultural investments 2017, The statistics concern agricultural investments and depreciations in farm buildings, land improvements and machinery and equipment. The statistics show e.g. if depreciations exceed investments whereby the capital of the agricultural sector is subject to loss and tear. The statistics have been compiled since 1947 and in its presents it is comparable from 2005 onwards., Statistical presentation, The statistics are a yearly calculation of the investments and depreciations of the the agricultural sector by type of investment and both at current and constant prices., Read more about statistical presentation, Statistical processing, The statistics are based on information from Accounts Statistics for Agriculture. The Accounts Statistics for Agriculture include only farms of at least 25.000 euro in standard output. To cover also small farms below this threshold the results for investments are increased by 0,87 per cent for buildings and also 0,87 per cent for machinery and inventory. This regulation of the investments also takes into account that small farms invests less than larger farms. Calculation at constant prices is made by means of price indexes for agricultural investment goods., Read more about statistical processing, Relevance, The statistics are of interest for e.g. Danish authorities, EU and organizations. Users are satisfied. , Read more about relevance, Accuracy and reliability, The statistics are based on a sample and consequently subject to statistical uncertainty. The sample is stratified with the aim of being representative for all farms. The uncertainty differs for each individual item, and the largest degree of uncertainty is seen for items such as investments, which may vary considerably. From the population of small farms, where the variation is small, a relatively small sample is selected, while a larger sample is used for bigger farms. Loss of sample farms are countered by higher selection rates in strata where losses do occur (based on experience)., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published in October of the following calendar year after the reference year. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, These statistics are comparable from 2005 onwards whereas there is a break in the comparability between 2004 and 2005. Apart from an increment for small farms the statistics are comparable with the accounts statistics for agriculture. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Agricultural and horticultural economy, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/erhvervsliv/landbrug-gartneri-og-skovbrug/oekonomi-for-landbrug-og-gartneri)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/agricultural-investments

Documentation of statistics

Documentation of statistics: Cereal Prices used for Regulation of Land Rents

Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Cereal Prices used for Regulation of Land Rents 2025 , Previous versions, Cereal Prices used for Regulation of Land Rents 2024, Cereal Prices used for Regulation of Land Rents 2023, Cereal Prices used for Regulation of Land Rents 2022, Cereal Prices used for Regulation of Land Rents 2021, Cereal Prices used for Regulation of Land Rents 2020, Cereal Prices used for Regulation of Land Rents 2019, Cereal Prices used for Regulation of Land Rents 2018, Cereal Prices used for Regulation of Land Rents 2016, Cereal Prices used for Regulation of Land Rents 2014, The purpose of the statistics is to show the development of the farm gate prices (basic prices) for wheat and barley. Farm gate prices are used for example for regulating rents of agricultural land in tenancy and have existed since the beginning of the 17th century. For the period 1910-1970 the prices were calculated for dioceses (church districts under the jurisdiction of a bishop). In the years 1937-1953 only prices for the diocese of Zealand were calculated. In its present form the statistics have been comparable since 1985 with figures for eight different geographic areas., Statistical presentation, The statistics are a yearly calculation of farm gate prices for barley and wheat defined as basic prices. The figures are calculated for eight regions. Due to the structural reform in 2007 the names of the regions have been revised but are otherwise unchanged. , The eight districts are described in the manual to the law on cereal prices called , kapitelstakster, . Go to http://www.retsinfo.dk and search for number 10053 of the 24th of November 2006 (24/11/2006), also termed , vejledning om opgørelse af kapitelstakster, . , Read more about statistical presentation, Statistical processing, Basic prices for wheat and barley are calculated based on yearly reports from traders of cereals on bought quantities and values of wheat and barley in connection with direct trade with farmers. Normally the same firm from last years survey are selected, men periodically, every third or fourth year, new firms might be added from within the industry. In 2024 14 firms took part. , Read more about statistical processing, Relevance, The figures are used primarily by farmers to determine the rent for agricultural land. The important users are ministries, agricultural organisations, local authorities, farmers and lawyers. There is a high level of satisfactory among users., Read more about relevance, Accuracy and reliability, There is no measure of the uncertainty of the statistics, e.g. sample error or measurement error. There is no reason to believe that statistics should be subject to bias., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about seven weeks after the end of the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, Official prices have been around since the beginning of the 17th century. From 1910-1970 the statistic covers the former Parishes "Stifter" which were the old zoning. In the period 1937-1953 statistic covers only Zealand diocese. The statistics are fully comparable back to 1985., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cereal-prices-used-for-regulation-of-land-rents

Documentation of statistics

Documentation of statistics: Danish Foreign Affiliates

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Danish Foreign Affiliates 2024 , Previous versions, Danish Foreign Affiliates 2023, Danish Foreign Affiliates 2022, Danish Foreign Affiliates 2021, Danish Foreign Affiliates 2020, Danish Foreign Affiliates 2019, Danish Foreign Affiliates 2018, Danish Foreign Affiliates 2017, Danish Foreign Affiliates 2016, Danish Foreign Affiliates 2015, Danish Foreign Affiliates 2013, Danish Foreign Affiliates 2012, The purpose of the statistics Danish Foreign Affiliates is to shed light on the Danish companies activities abroad through its controlled affiliates. Hence the statistics contributes considerably to the description of globalization, which is increasingly important to the development of the Danish economy and society. The statistics are comparable from 2007 onwards., Statistical presentation, This statistic is a yearly statistic, covering foreign affiliates (outside of Denmark) owned or controlled by parent companies in Denmark. The statistic measures the number of foreign affiliates as well as the number of employees, with breakdowns by activity and country of location., Read more about statistical presentation, Statistical processing, Data is collected annually via questionnaire in a census survey of all companies in Denmark that own or control affiliates abroad. Data is validated, both during and after data collection, to ensure a high data quality of data for the statistic., Read more about statistical processing, Relevance, The primary users of the statistics are ministries and other public institutions, and international organizations such as OECD and the European Commission. In addition the users cover news media, various industrial organizations and others with interest in globalization and the involvement abroad by Danish companies., Surveys on the users level of satisfaction have not been carried out, but users of the statistics express that they are satisfied with the statistics and its value., Read more about relevance, Accuracy and reliability, The survey result is based on submission of data from all relevant Danish parent companies with foreign affiliates. Any sample techniques and/or active use of thresholds have not been implemented. Thus the number of parent companies in the survey is approx. 5.000 and the number of foreign affiliates is approx. 15.000., It is estimated that missing values/data submissions in the survey have a insignificant impact on the statistical value., Read more about accuracy and reliability, Timeliness and punctuality, Danish foreign affiliates statistics is published approx. 14 months after the end of the calendar-year. The statistical information is collected in between June and November. Danish foreign affiliates is made public without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, This survey is also carried out in other European countries. Due to different approaches one cannot directly compare the results published in Denmark with the figures in Eurostat's database. The results published in Denmark cover all enterprises in Denmark that own/control foreign affiliates, regardless of ultimate controlling country. The figures in Eurostat solely cover enterprises that have the compiling country as ultimate controlling country., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Danish Foreign Affiliates, . For further information, go to the , International enterprises, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-foreign-affiliates

Documentation of statistics

Documentation of statistics: Farm Structure Survey

Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Farm Structure Survey 2025 , Previous versions, Farm Structure Survey 2024, Agricultural and Horticultural Survey 2023, Agricultural and Horticultural Survey 2022, Agricultural and Horticultural Survey 2021, Agricultural and Horticultural Survey 2020, Agricultural and Horticultural Survey 2019, Agricultural and Horticultural Survey 2018, Agricultural and Horticultural Survey 2017, Agricultural and Horticultural Survey 2016, Agricultural and Horticultural Survey 2014, The purpose of the survey is to describe the structure of agriculture, e.g. number of farms by size and geography., The statistics have comparable time series going back to 1982. The agricultural statistics, however, are much older than that with figures for number of farms, livestock, crops etc. going back to around 1900. , Statistical presentation, The farm structure statistics are yearly and include figures on number of farms, livestock, crops and technology distributed by for instance size and geography. The statistics are published "Nyt fra Danmarks Statistik (News from Statistics Denmark) and in the statbank., Read more about statistical presentation, Statistical processing, The information is collected by means of a yearly questionnaire based survey where the farmers complete the questionnaire online. The answers are validated for non probable values., Information on crops and cattle is collected from registers, and is thereby not reported by every single farmer. , The survey is a sample survey stratified by region, size and type of farming., Read more about statistical processing, Relevance, The statistics fulfill a need for structural information on the Danish agriculture, e.g. number of farms by size and region. Important users are EU, the ministries and agricultural organizations., Read more about relevance, Accuracy and reliability, The precision varies for the different items of the statistics. The precision is thus highest for the total agricultural area and less precise for specific crops, especially crops grown by only few farmers. Likewise the precision is best for livestock which many farmers have. This is in particular true for cattle. In the same way the uncertainty is high for small geographical units, e.g. Bornholm., Read more about accuracy and reliability, Timeliness and punctuality, The survey is published about 9-12 after the survey day. This difference is due to the fact that survey varies in size from year to year, both with respect to the questionnaire and the sample size., Read more about timeliness and punctuality, Comparability, The survey is almost comparable from 1982 onwards. There is also a high degree of comparability with other European countries. Between 2009 and 2010 there is, however, a small break in the comparability since the statistics from 2010 onwards includes a number of small farms and additionally farms with fur animals. It means that the number of farms in 2010 is about 1.200 bigger than it otherwise would have been., From around 1900 to 1981 the statistical surveys also included very small farms with an area of only hectares. These figures are available for the users in paper publications, but not online. , Read more about comparability, Accessibility and clarity, The survey is published here: Online, http://www.Statbank.dk, New from Statistics Denmark, Statistical ten years review, and in the analyses of Statistics Denmark, see this analyse on [Analyse]https://www.dst.dk/da/Statistik/Analyser/visanalyse?cid=29376 , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/farm-structure-survey

Documentation of statistics

Documentation of statistics: Harvest of Cereals etc.

Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , mlu@dst.dk , Get documentation of statistics as pdf, Harvest of Cereals etc. 2025 , Previous versions, Harvest of Cereals etc. 2024, Harvest of Cereals etc. 2023, Harvest of Cereals etc. 2022, Harvest of Cereals etc. 2021, Harvest of Cereals etc. 2020, Harvest of Cereals etc. 2019, Harvest of Cereals etc. 2018, Harvest of Cereals etc. 2017, Harvest of Cereals etc. 2016, Harvest of Cereals etc. 2015, Harvest of Cereals etc. 2014, The statistics illustrate the Danish harvest of grain, rapeseed, legumes and roughage. The statistics are used for research, EU reporting, calculation of GDP and energy and feed accounts. The statistics have been compiled since 1875, but in their current form are comparable from 1971 onwards. The statistics complement other statistics on vegetable production, including , Production of fruit and vegetables, . , Statistical presentation, The statistics are an annual statement of the Danish harvest of grain, rapeseed, legumes, root vegetables and roughage, calculated in area (1000 hectares), average yield (hectokg per hectare) and production (million kg). The statistics are calculated for crops and divided by region., Read more about statistical presentation, Statistical processing, Harvest of cereals, rapeseed and legumes: Data is collected annually from farmers via questionnaires and is debugged based on yield limits and added to the total population. Roughage: Data is collected from SEGES, Danish Sugar Beet Growers, DAKOFO, the Danish Agricultural Agency and Accounting Statistics for Agriculture. Where current data is missing, yields are projected from related crops with known trends., Read more about statistical processing, Relevance, The users are mainly EU and agricultural organizations. The results are included in the agricultural gross factor income. Information on the use of straw for fuel is used, among other things by the DEA., User needs are covered in the User Committee for food statistics. Statistics Denmark is also in regular contact with key users, including the Ministry of Food and research institutions., Read more about relevance, Accuracy and reliability, The response rate for the calculation of the harvest of grains, rapeseed etc. is over 95 per cent. Precision meets EU quality requirements., For coarse fodder, reliability must be considered reasonable for average yields, while it is high for area information., The forecast for winter seed areas usually deviates by 5-10 percentage points from the later established cultivated areas., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay to the scheduled date., Preliminary data for the harvest of cereals, rape and pulses are published in late November. Final statement, including results for provinces and regions are published April of the following year, where the coarse fodder harvest alsot is published. End of reference Period: October 1. Harvesting of roughage is published April of the following year. End of reference Period: end of November. The forecast for the following year's winter land released in early December. End of reference Period: October 15, Read more about timeliness and punctuality, Comparability, Similar statistics are produced among EU members and are available from the Eurostat's website. The statistics comply with EU standards., Harvest figures are in principle comparable back to 1900 but with methodological changes along the way. The current calculation method has in principle been used since 1971. The statistics for the new regions of the country are made from 2006. Thus there for 2006 is both a statement of the then counties, and the current regions., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Crop production, and in a Danish press release., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harvest-of-cereals-etc-

Documentation of statistics

Documentation of statistics: Ownership of agricultural land in Denmark

Contact info, Food Industries, Business Statistics , Karsten Larsen , +45 21 29 55 76 , kkl@dst.dk , Get documentation of statistics as pdf, Ownership of agricultural land in Denmark 2024 , Previous versions, Ownership of agricultural land in Denmark 2020, The purpose of the statistics Ownership of agricultural land is to show how the Danish agricultural land is distributed by nationality of the owners. , Statistical presentation, The statistics show on an annual basis the number of owners and how the ownership of Danish agricultural land is distributed by the nationalities of the owners, regions, type of owner, gender, age and size., Read more about statistical presentation, Statistical processing, The IACS register (Integrated Agricultural Control System) The General Land Register is merged with the Owner Register. For personal identification numbers, citizenship is found via the Personal Register. For business ownership, the CVR is used for real and legal owners. If there are only legal owners, data from Eurostat's group register is supplemented, whereby the owner's nationality can be determined. For foreign owners, the country of residence is used as the country code. The owners can be both private individuals and companies., Read more about statistical processing, Relevance, The statistics meet a need, particularly from the Ministry of Food and Agriculture, to know the extent of Danish agricultural land in foreign ownership. The statistics are also expected to be of interest to political parties, the industry and the public in general., Read more about relevance, Accuracy and reliability, The statistics cover all agricultural land in Denmark for which crop subsidies have been applied for. Very little agricultural land is cultivated in Denmark for which area support is not applied for. The source data for the statistics are obtained from the General Agricultural Register (GLR), which is also used as a source in the Agricultural and Horticultural Census, and covers virtually all agricultural land in Denmark, and is considered a reliable source. The cadastral register overlaid on the applied plots of land is considered to be of high quality. However, the comparison of field maps and the cadastre gives rise to some choices of cadastres/plots for the statistics. For ownership by persons, citizenship is considered to be of very high quality. Information on ownership from the CVR when it is persons or real owners is considered to be of good quality. Supplement with data from Eurostat's group register are made., Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published 4-5 months from the reference time December 31. , Read more about timeliness and punctuality, Comparability, The statistics are comparable with the farm structure survey, but the figures for the agricultural area are not exactly identical in the two statistics. This is due to fact that the statistics include all land cultivated by farmers applying for crop subsidies whereas the farm structure survey as main rule only include farm of at least 5,0 hectares. The units in the two statistics are not the same. The statistics on ownership of agricultural land includes the landowners which could be farmers men not necessarily are., Read more about comparability, Accessibility and clarity, These statistics are published in Statbank Denmark and the News letter "Nyt fra Danmarks Statistik" (in Danish only),, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ownership-of-agricultural-land-in-denmark

Documentation of statistics