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Documentation of statistics: Prices and price index for agriculture

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Prices and price index for agriculture 2025 , Previous versions, Prices and price index for agriculture 2024, Prices and price index for agriculture 2023, Prices and price index for agriculture 2022, Prices and price index for agriculture 2021, Prices and price index for agriculture 2020, Prices and price index for agriculture 2019, Prices and price index for agriculture 2018, The purpose of these statistics is to illustrate the evolution of agricultural prices and price indices. The agricultural sales index illustrates price trends for both vegetable and animal sales products and services. A part of the statistics have been calculated since 1956, but since 1970 the most widely definition has been used, which includes horticulture, fur production and products from bees and wild game. , Statistical presentation, The Statistics contains for almost all items, monthly, quarterly and yearly information of agricultural prices, as well on sale products as on most products used in the intermediate consumption including capital formation. Some prices are only obtainable as price indices only, especially regarding intermediate consumption. The statistics covers both agriculture and horticulture. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected at different frequencies from multiple sources. The collected data undergoes a simple validation. Once data is validated, aggregation occurs for a portion of data before publication, while other data is while other data is published directly. , Read more about statistical processing, Relevance, The statistics are used by agricultural organizations and ministries to monitor price developments within the industry as well as as a basis for various analyzes and forecasts. The basic data and results of the statistics are also applied to other statistical areas in Denmark Statistics, for example, for the calculation of the gross income of agriculture as used in the National Accounts., Read more about relevance, Accuracy and reliability, On some products, i.e. horticultural products, qualities and types are several and dynamic. It makes it a little difficult to be sure on the representatively on the prices followed. Concerning input prices based on general price statistics, the situation in agriculture are maybe not fully reflected. Some indices on volumes are indirectly measured based on values and price indices. This method can lead to inaccuracy. The declaration on content on Economic Account for Agriculture and these on animal production includes more information on possible inaccuracy. Because of the very different picture of sources, margins of statistical errors can not be calculated. However, for main output products, i.e. milk and meat, the coverage and accuracy are close to 100 per cent. Prices on cereals and feeding stuff (concentrates) are based on more that 70 per cent of total volume, which ensure high reliability. In general, the accuracy is highest on sales product and less high on intermediate consumption and goods for capital formation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without any delay in relation to the published release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable in their current form from 2005 onwards. The price indices are re-based approximately every five years, most recently in 2024 with base year 2020=100, which limits full comparability over long time periods. As of 2025, a new method for collecting fertiliser prices has been introduced, resulting in a data break affecting only the fertiliser price index. The overall price index for agricultural input consumption is still considered comparable over time. The statistics follow common European guidelines and are therefore comparable with similar statistics from other EU countries., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank, these statistics can be found under the subject , Prices and price index for agriculture, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/prices-and-price-index-for-agriculture

Documentation of statistics

Documentation of statistics: Economic Accounts for Agriculture

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , sit@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2024 , Previous versions, The Economic accounts for agriculture is a macroeconomic accounting system that illustrates the overall economy of the agricultural sector by providing accounts of production, intermediate consumption, gross investment, and other flows. As a satellite account under the European system of national accounts, this statistic represents the agricultural sector’s contribution to the National Accounts. In 2024, the statistic Gross factor income of agriculture was replaced by the Economic accounts for agriculture, which is regulated by an EU regulation. Accounts for Gross factor income of agriculture are available back to 1935, while the Economic accounts for agriculture in its current form are comparable from 1990 onwards., Statistical presentation, The Economic accounts for agriculture is an annual compilation of the agricultural sector’s economic activities, including the value of production (output), intermediate consumption, and gross investments. In addition, subsidies, labour input, and the sale of pesticides and mineral fertilizers are presented in separate, dedicated tables. The economic activities are compiled at basic prices and expressed in million DKK, both at current prices and at previous year’s prices. The statistics are compiled at both national and regional level. The agricultural labour input is measured in thousand annual work units (AWU). Direct subsidies to the agricultural sector are presented in million DKK. The sale of mineral fertilizers is compiled in tonnes., Read more about statistical presentation, Statistical processing, The Economic accounts for agriculture is a composite statistical product, which means that its calculation basis is built on existing statistics, referred to as primary statistics. The statistics are compiled annually using data from a range of different sources, e.g., the Farm Accountancy Data Network and Feed Production Statistics, as well as from administrative registers, industry organizations, companies, and foundations. Once the data in each primary statistic has been processed, it is transferred to and consolidated in the data processing system for the Economic accounts for agriculture, which calculates the annual values. The value of each product is calculated using the standard “quantity times price” method., Read more about statistical processing, Relevance, The Economic accounts for agriculture are relevant for Danish authorities, the EU, research institutions, and agricultural organizations, as they allow monitoring of developments in the economic activities of the agricultural sector. The statistics also serve as input for the compilation of the National Accounts., Read more about relevance, Accuracy and reliability, The uncertainty in the Economic accounts for agriculture is linked to the uncertainty in the primary statistics used for its compilation. For example, issues such as timing can introduce uncertainty, while other information, such as data from dairies and slaughterhouses, is exact. For preliminary calculations, some estimates are based partly on expert judgment and assumptions until the final data are processed in the primary statistics; therefore, the statistics are considered final only after two years. The sold quantities of mineral fertilizers from the Danish Agency for Green Conversion and the Environment are associated with a certain degree of uncertainty. The data come from the annual collection of sales figures, in which companies with registered products are asked to report the quantities sold of those products. Companies have the option to indicate tax-exempt quantities, but this is voluntary, and not all companies use this option. The data collection does not include self-imports, and some products may be double-counted if a company has not used the option to report a sold quantity as tax-exempt. The data quality is therefore directly dependent on the information provided by the companies to the Agency., Read more about accuracy and reliability, Timeliness and punctuality, Preliminary figures for the Economic accounts for agriculture are published no later than 10 months after the end of the reference year. Revised, yet still preliminary, figures are published 22 months after the end of the reference year. Final figures are published no later than 2 years and 10 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The Economic accounts for agriculture replace the Gross Value Added of Agriculture and are published for the first time in 2025 for the years 2022, 2023, and 2024. They are directly comparable with the Gross Value Added of Agriculture, which can be traced back to 1990, while older compilations exist back to 1935. Unlike the Gross Value Added of Agriculture, the Economic accounts for agriculture include changes in farm stocks and livestock in sales values and present sales values at basic prices. In addition, the compilation contains a number of financial accounts that are not included in the Gross Value Added of Agriculture. As a satellite account, the Economic accounts for agriculture are comparable with the National Accounts’ compilations for the agricultural sector., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . In StatBank, the Economic accounts for agriculture are available under the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

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

Documentation of statistics

About microdata schemes

Denmark's Data Portal makes data available to authorised institutions for specific research, fact-finding and analytical tasks. Access to data can be granted under various data schemes depending on the institution or the project to which you seek access., The researcher scheme , Researchers and other analysts from authorised institutions can create a project with access to Statistics Denmark’s register data. , Read more about authorisation of institutions, The project database scheme , The project database scheme is intended for institutions that are continuously creating projects with significant overlap in data content. Under this scheme, it is not allowed to carry out research directly on the project database, and the scheme must not be used for projects or tasks that are not directly related to the purpose of the project database. Furthermore, the institution must have one or more employees at who can serve as project database managers, of whom at least one can functions as an administrator. The duties of the project database manager include population generation, data extraction etc. as well as ongoing communication with Statistics Denmark., If you want to apply for a project database to be set up, you must contact the Project database group at , FSEProjektdatabase@dst.dk, ., More on the project database scheme, An authorised institution can have a maximum of one project database. The project database is a collection of pseudonymised microdata. It is used over time for multiple projects (called subprojects) under the relevant project database scheme., For the project database, data is selected from Statistics Denmark’s databank of basic data and, if relevant, data from other sources (such as the institution’s own data). The data content in project databases is subject to the data minimisation principle, and for that reason, data in a project database must be applied in several subprojects., In the project database scheme, the project database is called the main project. Other projects in the project database scheme are subprojects of the project database. The authorised institution that owns the project database therefore owns both the main project and the subprojects in the scheme., The target group of the project database scheme is institutions that:, are authorised for microdata schemes at Statistics Denmark., have at least five active projects with significantly overlapping data., continuously extend their project portfolio with new subprojects with significant overlap in the underlying data., Terms of a project database scheme, Project databases are subject to the following terms:, The institution is required to appoint one to three experienced project database managers who will be the assigned liaison officers with Statistics Denmark. Only project database managers get access to the actual project database., The project database and subprojects are subject to the data minimisation principle., The user must pay for all costs associated with the creation, operation and maintenance of the relevant project database. Subprojects are considered regular projects and are handled and invoiced separately., You can keep a project database going for as long as it is used for active subprojects. The project database can only be preserved as long as it is used for subprojects to an extend that is consistent with the data made available in the project database. The project database can thus be limited or discontinued if Statistics Denmark estimates that this is no longer the case., The authority scheme, The authority scheme makes microdata available to Danish institutions that carry out tasks for the authorities, i.e. departments, agencies and directorates, regions and municipalities. The scheme meets the demand for ad hoc analyses with tight deadlines. , Read more about the Authority scheme,  (in Danish), Data confidentiality and access rules, Access to data is given in agreement with the principles of the General Data Protection Regulation, especially article 5(1)(c): , “Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (‘data minimisation’).” , This also applies to section 10 of the Danish Data Protection Act: , “Data as mentioned in Article 9(1) and Article 10 of the General Data Protection Regulation may be processed where the processing takes place for the sole purpose of carrying out statistical or scientific studies of significant importance to society and where such processing is necessary in order to carry out these studies.” , Read more on Statistics Denmark’s Data confidentiality policy and Information security policy 

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/om-mikrodataordninger

Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform DDP App. Denmark’s Data Portal manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in DDP App, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers and data packages, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Datapackages (pdf - in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in the DDP App. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Denmark’s Data Portal must create the population, If Denmark’s Data Portal is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in the DDP App, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Denmark’s Data Portal have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Denmark’s Data Portal prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Denmark’s Data Portal uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Denmark’s Data Portal creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or external data to be used, Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Denmark’s Data Portal uses the term 'case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in the DDP App, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Denmark’s Data Portal, a detailed extraction description of the case control population is prepared. The final extraction description is attached as an appendix to the project proposal. Please note that the DDP App only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/populationsbeskrivelse

Documentation of statistics: Benefits during sickness or in connection with childbirth (Discontinued)

Contact info, Labour Market , Torben Lundsvig , TLU , TLU@dst.dk , Get documentation of statistics as pdf, Benefits During Sickness or in Connection with Childbirth 2019 , Previous versions, Benefits During Sickness or in Connection with Childbirth 2018, Benefits During Sickness or in Connection with Childbirth 2017, Benefits During Sickness or in Connection with Childbirth 2016, Benefits During Sickness or in Connection with Childbirth, Benefits During Sickness or in Connection with Childbirth 2013, The purpose of Benefits in connection with sickness and childbirth is to illustrate the use of the law on sickness respectively maternity law. The statistics have been compiled since 1995, but in its present form comparable from 2003. From the year 2017, the statistics contain only information about sickness benefits because Udbetaling Danmark has taken a new administrative IT system for maternity allowance in use. Maternity benefits will be an independent statistics from 2020. , Statistical presentation, The sickness and maternity allowance is an annual statement of the number of persons, days and amounts paid in connection with illness or childbirth. From the year 2017 only information for unemployment benefit paid in connection with illness. The calculations are distributed according to the legal basis for the payment of unemployment benefits, age, sex and geography. In addition, figures from the daily allowance for sickness and birth are included in the statistics, Publicly Provided, where the extent of absence due to illness or maternity leave is included in a larger context. , Read more about statistical presentation, Statistical processing, Data comes from the two administrative registers The Administrative Joint-municipal Register for Sickness Benefits and the National Administrative Register for Childbirth Benefits (ended May 2017). When received there are some mechanical monitoring and doublets are removed. When estimating the duration of a case not having a finale date the final date is set to the last day of the year if the case is about sickness benefits. If the case is about childbirth benefits the final date is estimated as the starting date plus the average length measured in days of similar cases having a finale date., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining. The sickness benefit part of the statistic is together with the maternity and paternity leave part section mostly used as an important data element of Analyses of the Danish workforce productivity (economic modeling), Statistics Labour Market Accounts, Statistics Persons receiving public benefits and general absence statistics., Read more about relevance, Accuracy and reliability, The statistics summarize the reports of illness, birth or adoption that have triggered the payment of unemployment benefit. The expectation is that all sickness benefit issues with payment will be reported. Similarly, the expectation is that all cases of payment due to maternity leave, maternity leave or leave due to adoption are reported. Therefore, the statistics can be expected to be reliable. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in the month of March the year after the reference year. March is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old., Read more about timeliness and punctuality, Comparability, The statistics is influenced by local Danish law. The law of parental leave is unchanged since 2002 and it is possible to compare the figures back to 2003. Concerning sick leave there has been several adjustment making it more difficult to compare over time., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published s in the tables under the subject , Sickness benefits, and , Maternity benefits, In addition, the statistics include the Statistical Ten Year Overview., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefits-during-sickness-or-in-connection-with-childbirth--discontinued-

Documentation of statistics

Documentation of statistics: International labour cost indices (Discontinued)

Contact info, Personal Finances and Welfare , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, International Labour Cost Indices 2022 Quarter 3 , Previous versions, International Labour Cost Indices 2020 Quarter 1, International Labour Cost Indices 2019, International Labour Cost Indices 2015 Quarter 2, International Labour Cost Indices 2015 Quarter 1, International Labour Cost Indices 2014 Quarter 1, The purpose of publishing the international labour cost indices is to compare trends in earnings and other labour costs in the private sector in Denmark with trends in the EU countries and the US. The figures for the EU countries are collected from EU’s statistical office, Eurostat, which publishes the figures on their homepage on a quarterly basis. Eurostat collects information from each member state’s national statistical institution. The U.S. figures are collected by the U.S. Department of Labour, Bureau of Labor Statistics, which publishes their figures on their own homepage. , The international labour cost indices are not directly comparable with the national indices of average earnings., Statistical presentation, The indices are published on a quarterly basis to show developments of the Danish and other countries labour costs in an international setting. The figures from EU member countries are based on EU-harmonized regulations. It is expected that the harmonization will extend gradually over time. The numbers are not fully comparable to the Danish national indices of average earnings, which are collected and published quarterly. The international labour cost indices are exclusively published in Statistics Denmark’s quarterly news release , NYT fra Danmarks Statistik, entitled , International Labour Costs, , and where the EU-figures are collected from Eurostat database while the US figures stems from the Bureau of Labor Statistics (BLS) database., Read more about statistical presentation, Statistical processing, Data is collected from different sources where the data already has gone through statistical processing before being published., Read more about statistical processing, Relevance, The indices are used to compare and analyze how the Danish labour costs perform in an international setting, as it is an important indicator of the state of play of the Danish competitiveness compared to other countries. The statistics are therefore often mentioned in the daily news press and are often an important feature in the national public debate., Read more about relevance, Accuracy and reliability, As the methods used for collection and production of the indices differ in all the countries included in the international labour cost indices, it is only possible to make any conclusions on the accuracy and reliability of the Danish index., In general the reliability of the Danish labour cost index is, due to the size of the sample and the thorough search for errors which is performed, considered to be quite good. This is especially true in the case of the indices on the more aggregate level, such as for the whole business economy or the largest sectors of economic activity. For the smaller sectors of economic activity, the reliability is for natural reasons lower., Read more about accuracy and reliability, Timeliness and punctuality, The indices are normally published without any delay approximately 80 days after the turn of the quarter being measured. However the dissemination regarding 4th quarter 2019 was delayed due to lacking data on holiday payments, resulting from the transition period in implementing the Danish Holiday Act 2020. Please refer to the description of other uncertainties under S.13.3., Read more about timeliness and punctuality, Comparability, In 2008 Eurostat changed from using Industry Classification NACE Rev. 1.2 to NACE Rev. 2. Because of this, there is a slight change in the data belonging to the , the private sector, starting from 2008, which was also conveyed in the publications of the statistics. Before this change, the data included the class of industries C-F according to NACE Rev. 1.2. After the change, the sectors of economic activity covered are B-N according to NACE Rev. 2., Read more about comparability, Accessibility and clarity, The indices are only published in Statistics Denmark's news release , NYT, . The international figures are not available in the Statbank. The figures and other information can instead be found on Eurostat's or BLS' homepages or databases., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-labour-cost-indices--discontinued-

Documentation of statistics

Documentation of statistics: Price and Volume Indicators (Discontinued)

Contact info, Food Industries , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Price and Volume Indicators 2017 Quarter 4 , Previous versions, Price and Volume Indicators 2017 Quarter 3, Price and Volume Indicators 2017 Quarter 2, Price and Volume Indicators 2017 Quarter 1, Price and Volume Indicators 2016 Quarter 4, Price and Volume Indicators 2014 Quarter 4, Price and Volume Indicators 2014 Quarter 3, Price and Volume Indicators 2014 Quarter 2, The purpose of these statistics is to show actual changes (monthly, quarterly or yearly) in prices and volumes in agriculture to indicate developments in overall economics in agriculture., A part of the statistics have been calculated since 1956, but since 1976 the most widely definition has been used, which includes horticulture, fur production and products from bees and wild game. Base year in the prices indices is changed every fifth year, and latest base year is 2010., Statistical presentation, The Statistics contains for almost all items, monthly, quarterly and yearly information of agricultural prices, as well on sale products as on most products used in the intermediate consumption including capital formation. Some prices are only obtainable as price indices only, especially regarding intermediate consumption. Furthermore the volumes are shown for animal products. The statistics covers both agriculture and horticulture. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected at different frequencies from multiple sources. The collected data undergoes a simple validation. Once data is validated, aggregation occurs for a portion of data before publication, while other data is published directly., Read more about statistical processing, Relevance, The statistics is used by the agricultural organizations and the Ministries (primary the Ministry of Environment and Food of Denmark) to follow the price- and volume developments and to make analyses and forecasts. Furthermore, there is a need in the industry to follow price developments. The statistics cover the need primarily to calculate value added needed for the agricultural gross factor income calculation, which is a part of the National account. , Read more about relevance, Accuracy and reliability, On some products, i.e. horticultural products, qualities and types are several and dynamic. It makes it a little difficult to be sure on the representatively on the prices followed. Concerning input prices based on general price statistics, the situation in agriculture are maybe not fully reflected. Some indices on volumes are indirectly measured based on values and price indices. This method can lead to inaccuracy. The declaration on content on Economic Account for Agriculture and these on animal production includes more information on possible inaccuracy. Because of the very different picture of sources, margins of statistical errors can not be calculated. However, for main output products, i.e. milk and meat, the coverage and accuracy are close to 100 per cent. Prices on cereals and feeding stuff (concentrates) are based on more that 70 per cent of total volume, which ensure high reliability. In general, the accuracy is highest on sales product and less high on intermediate consumption and goods for capital formation., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is regarded as punctual., Read more about timeliness and punctuality, Comparability, Not applicable., Read more about comparability, Accessibility and clarity, The statistics are published in "Landbrug, gartneri og skovbrug" (Agriculture) appearing in the series "NYT fra Danmarks Statistik" (Statistical News) and in the annual publications Statistical Yearbook, Statistical Ten-Year Review and "Jordbrugets prisforhold". Results are available in tables in http://www.statbank.dk, on monthly, quarterly and yearly basis: LPRIS10, LPRIS15, LPRIS20, LPRIS25, LPRIS30 and LPRIS35., The statistics are published quarterly in the series "Nyt fra Danmarks Statistik" (Statistical News). In the Statbank are the data unter the subject , Priser og prisindeks for jordbrug, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-and-volume-indicators--discontinued-

Documentation of statistics

Documentation of statistics: Construction Survey (Discontinued)

Contact info, Short Term Statistics , Get documentation of statistics as pdf, Construction Survey 2021 , Previous versions, Construction Survey 2020, Construction Survey 2019, Construction Survey 2018, Construction Survey 2017, Construction Survey 2016, Construction Survey 2015, The purpose of the tendency survey for the construction industry is to provide a fast and up-to-date picture of conditions and expectations in the construction industry. As from the 1st quarter of 1970 Statistics Denmark has conducted a tendency survey for the construction industry. From 1970 to 1997 the tendency survey was conducted quarterly. To harmonize with the surveys conducted by other EU member states, the Danish tendency survey has been conducted monthly since January 1998. This change also implied that further questions were added to the survey., Statistical presentation, The purpose is to provide data on some essential short-term economic factors within the construction industry. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables , employment, , , sales, , , prices, , , new orders, and , limits to production, . Also is asked , how many months work is accounted for in the order book, ., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 800 enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, prices, orders, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , Accuracy, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaires or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Construction Sector survey has been conducted since 1970 by Statistics Denmark. , The survey is conducted in partnership with DG ECFIN and historical data is to be found at their , homepage, ., Read more about comparability, Accessibility and clarity, Results of the business tendency surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Serviceerhverv, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBB11-KBB66., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Accounts Statistics for Non-Agricultural Private Sector

Contact info, Business Dynamics, Business Statistics , Jeppe Strandgaard Herring , +45 24 44 43 06 , JHR@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Non-Agricultural Private Sector 2024 , Previous versions, Accounts Statistics for Non-Agricultural Private Sector 2023, Accounts Statistics for Non-Agricultural Private Sector 2022, Accounts Statistics for Non-Agricultural Private Sector 2021, Accounts Statistics for Non-Agricultural Private Sector 2020, Accounts Statistics for Non-Agricultural Private Sector 2019, Accounts Statistics for Non-Agricultural Private Sector 2018, Accounts Statistics for Non-Agricultural Private Sector 2017, Accounts Statistics for Non-Agricultural Private Sector 2016, Accounts Statistics for Non-Agricultural Private Sector 2015, Accounts Statistics for Non-Agricultural Private Sector 2014, Accounts Statistics for Non-Agricultural Private Sector 2013, Accounts Statistics for Non-Agricultural Private Sector 2012, The purpose of Accounts statistics is to analyze the activity level and of the structure of the Danish business sector. This means that the statistics should be seen as a primary source of financial data for analytical studies of Danish business enterprises, including data required for the evaluation and conception of Government policies and decisions affecting the business community. Moreover, the accounts statistics are an essential input to the Danish national accounts statistics., Statistical presentation, The statistics annually show enterprises income statements, balance sheets, and investments both at the enterprise level and at the establishment level. The statistical basis includes detailed accounting items, including revenue, consumption of goods, expenses, annual results, assets, liabilities, and investments. The accounting statistics for private urban businesses do not include agriculture, fishing, ports, financial institutions, insurance, public housing companies, public administration, etc. The statistics only cover market activity. The statistics are published in "News from Statistics Denmark" and in the "StatBank.", Read more about statistical presentation, Statistical processing, Information is obtained annually from a sample of enterprises using online reporting. The online questionnaire follows the Danish Financial Statements Act as much as possible, and the information obtained undergoes a systematic troubleshooting in Statistics Denmark. Data is supplemented with data from several other sources. Based on the collected and other data, values ​​for all variables are calculated for the full population., Read more about statistical processing, Relevance, Applications: studies of business economics, regional finance studies, primary data for the Danish national accounts and for Eurostat's structural business statistics. Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, scientist, journalists and students., Read more about relevance, Accuracy and reliability, The statistics provide a reliable picture of the financial situation of the Danish business community, as it is based on a broad sample, administrative data and is based on detailed accounts. Most confident is the statistics at the enterprise level, as the annual accounts are made at this level., It is assumed that the enterprises in which information is received from SKAT and the Danish Business Authority, in the same industries and with the same ownership form, are comparable with the enterprises in the sample. Furthermore, it is assumed that enterprises with less than 5 employees are comparable to enterprises with 6-10 employees, for enterprises that do not have a large VAT turnover (industry dependent but typically at least DKK 150 million)., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published provisionally approx. 6 months after and finally approx. 12 months after the last closing date (April 30) and usually without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, The new type of accounts statistics is largely comparable with, and supplemented by, the SKAT data based accounts statistics which were discontinued after 1998. Statistics Denmark publishes statistics on various subjects related to business accounts, notably VAT-related turnover, manufacturers' sales of commodities, and short-term statistics of order books and sales. However, these statistics are not directly comparable with the accounts statistics, because of differences in units, coverage or concepts., Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, in Danish, . In StatBank data are published under the subject , Enterprise finance and accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-non-agricultural-private-sector

Documentation of statistics