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Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst,dk , Get documentation of statistics as pdf, Sickness benefits 2025 , Previous versions , Sickness benefits 2024, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD's service desk is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published in the tables under the subject , Sickness benefits, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sickness-benefits

Documentation of statistics

Documentation of statistics: National Accounts: Fixed Capital Stock

Contact info, National Accounts, Climate and Environment, Economic Statistics , Benjamin Dahlerup Fazlagic , +45 23 84 60 78 , BDF@dst.dk , Get documentation of statistics as pdf, National Accounts Fixed Capital Stock 2025 , Previous versions , National Accounts: Fixed Capital Stock 2024, Fixed Capital Stock 2021, Fixed Capital Stock 2021, Fixed Capital Stock 2019, Fixed Capital Stock 2018, Fixed Capital Stock 2017, Fixed Capital Stock 2016, Fixed Capital Stock 2014, The purpose of the statistics is to provide a detailed picture of the economy’s total production apparatus and the part of national wealth that is held in fixed assets. Fixed assets are compiled in accordance with the guidelines in the European System of Accounts, ESA 2010, and are based on the national accounts series for investment. Fixed assets according to ESA 2010 were published for the first time in September 2014., Statistical presentation, The statistics on fixed assets comprise six variables that are compiled both at current prices and in chain-linked values. Exceptions are other changes in the volume of non-financial assets, which are not compiled in chain-linked values, and revaluations, which exist only in current prices. The six variables are: Gross capital stock of fixed assets, Net capital stock of fixed assets, Gross fixed capital formation, Consumption of fixed capital, Other changes in the volume of non-financial assets and Revaluations., Read more about statistical presentation, Statistical processing, Fixed assets are compiled using gross fixed capital formation, historical stocks and assumptions on service lives and depreciation. Investment data stem from business statistics, administrative registers and sector-specific sources, supplemented by BBR, the Motor Register and R&D statistics. Service lives follow European recommendations. Data are validated against industry and sector series and through a final macro-assessment. From 2021, all asset types are compiled using PIM based on harmonised benchmark stocks., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. National accounts are used as the basis for analyzing the economic development., National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, A certain degree of uncertainty is linked to the data sources and the assumptions used in the compilation of fixed assets. Consistent methods and the integrated processing of sources help ensure stable results over time. Until 2020, buildings and transport equipment were compiled using direct stock methods, which generally provided a solid basis. The shift to a fully harmonised PIM approach from 2021 may introduce slightly higher uncertainty. Quality management and revisions follow the CoP, QAF and established procedures., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the annual national accounts, including fixed assets, is published at the end of June in the year following the reference year. Final annual national accounts figures are published annually approximately 2.5 years after the reference year., Read more about timeliness and punctuality, Comparability, Comparisons with other statistics at a detailed industry level will often show differences, partly because of differences in definitions of variables, and partly because of the calendar year delimitation of the national accounts and its requirement of total coverage of the economic activity., Internationally there is a high degree of comparability with the national accounts of other countries because the Danish national accounts are compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under , National accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--fixed-capital-stock

Documentation of statistics

Documentation of statistics: A-Income Statistics (income subject to provisional tax)

Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, A-Income Statistics (income subject to provisional tax) 2025 , Previous versions , A-Income Statistics (income subject to provisional tax) 2024, A-Income Statistics (income subject to provisional tax) 2023, A-Income Statistics (income subject to provisional tax) 2022, A-Income Statistics (income subject to provisional tax) 2021, A-Income Statistics (income subject to provisional tax) 2020, A-Income Statistics (income subject to provisional tax) 2019, A-Income Statistics (income subject to provisional tax) 2018, A-Income Statistics (income subject to provisional tax) 2017, A-Income Statistics (income subject to provisional tax) 2016, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2013, The purpose of the Provisional Income Statistics is to provide a more up to date picture of the compilation of income than is possible, by means of the final Personal Income Statistics. Compilation of the final Personal Income Statistics have to wait until the tax assessment process has reached a sufficiently acceptable level concerning the A-income (wages, salaries, unemployment benefits and social pensions etc.) and other income, e.g. entrepreneurial income. This does not apply to the Provisional Income Statistics., Statistical presentation, The a-income statistics mainly comprise of wages and transfers. It illustrates the level and composition of the a-income for the tax year and can be split into wages and various types of transfer incomes. The a-income amounts to 90 per cent of the total gross income. The statistics are based on the provisional tax statement for the income. The data is acquired four months after the end of the tax year. The final income statistics is based on a-incomes acquired eight month after the end of the tax year. The final statistics are based on the Statistics Denmark's Register of Incomes Statistics., Read more about statistical presentation, Statistical processing, The type of income in the e-income register is adjusted in-case of inconsistencies between the filing-entity and the type of income., The total transfers are grouped into the different type of transfers by merging the e-income register with the register of people receiving public benefits., Data on specifically 2020 and 2021 are supplemented with data from the Danish Business Authority on employer´s compensation on wages and salaries paid to staff, not able to work during the lockdown, caused by the COVID-19 pandemic., Read more about statistical processing, Relevance, One or two annual meeting with some of the main users of the income and wealth statistics is held in Statistics Denmark. On a daily to weekly basis users call with questions related to the statistics. Trough these interactions with the users we assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, All persons receiving unemployment income is included in the statistics., As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4 to 5 months after the reference period. The statistics are published as planned., Read more about timeliness and punctuality, Comparability, Changing several social benefits from net sum into gross sum (taxable) in connection with the tax reform of 1st January 1994 has caused a minor break in the time series from 1993 to 1994. , There are no similar statistics internationally., 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 , Personal and family income, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/a-income-statistics--income-subject-to-provisional-tax-

Documentation of statistics

Documentation of statistics: Employee Trade Unions

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Employee Trade Unions 2025 , Previous versions , Employee Trade Unions 2024, Employee Trade Unions 2023, Employee Trade Unions 2022, Employee Trade Unions 2021, Employee Trade Unions 2020, Employee Trade Unions 2019, Employee Trade Unions 2018, Employee Trade Unions 2017, Employee Trade Unions 2016, Employee Trade Unions 2015, Employee Trade Unions 2014, Employee Trade Unions 2013, The purpose of the statistics is to compile aggregated annual statistics showing the number of members of employee organisations with attachment to the labour market. The statistics been complied since 1994, but is in its current form comparable from 2007 and onwards. , Statistical presentation, The statistics provide an overview of the number of members of employee organisations with attachment to the labour market i.e. excl. trainees, retirees, early retirees and self-employed. The statistics are grouped by central organisations, individual organisations and gender. The statistics are published annually and disseminated in the newsletter Nyt fra Danmarks Statistik and in the StatBank., Read more about statistical presentation, Statistical processing, These statistics are based on annual reports from employees' organisations on the number of members attached to the labour market per December 31. Data are typically validated by comparing the current year’s reporting with that of previous years for each organisation. As of the reference date 31 December 2023, total membership figures are also reported for each organisation. These totals are then compared with the reported number of members with labour market affiliation per organisation to ensure consistency., Read more about statistical processing, Relevance, Users of the statistics are typically employee and employer organisations, researchers and the media. No dissatisfaction has been expressed with the statistics., Read more about relevance, Accuracy and reliability, The statistics are based on reports from Central Employee Organisations and other employee organisations. Not all employee unions are able to calculate the precise figures exclusive members not attached to the labor market, i.e.. students, early retirees and pensioners, and self-employed. The data are therefore believed to be a little overestimated for some organisations. On the other hand, there may be small employee organisations that are not included. The data are normally not revised, but if errors are detected they are corrected back in time as far as possible. Although participation in the statistics is voluntary, all employee organisations appear to submit data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4-5 months after the reference date. , The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled (without data breach) since 2007. Minor breaks in the time series may occur when employee organisations change their reporting methods. For example, the previously observed sharp decline in membership figures for some organisations (mainly those under LO) from 2011 to 2012 was due to the inclusion of members without labour market affiliation in earlier reporting. However, this decline has been addressed as of the publication on 19 May 2025, by revising the reported figures downwards for the period 2007–2011., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release (Nyt fra Danmarks Statistik) at the same time as the tables are updated in the StatBank. In the StatBank, the statistics ca be found under the subject , Trade unions, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employee-trade-unions

Documentation of statistics

Classification of education (DDU), current educations, v1:2026

Name: , DDU_UDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), current educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), current educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Documentation of statistics: Employment Statistics for Graduates within Arts and Culture

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Employment Statistics for Graduates within Arts and Culture 2019 , Previous versions , Employment Statistics for Graduates within Arts and Culture 2018, Employment Statistics for Graduates within Arts and Culture 2017, Employment Statistics for Graduates within Arts and Culture 2016, These statistics estimate how graduates from artistic and cultural education, subsequently fare in the labor market, for up to 10 years after graduation. These statistics are comparable from 2010 onwards., Statistical presentation, The statistics are an annual statement of key figures on unemployment rates for graduates, the employment rate, the number of employed and the average incomes, for persons who have completed artistic and cultural education. The statistics are grouped by educational institution, education, gender, income type, unemployment type, sector, and geographical by place of work., Read more about statistical presentation, Statistical processing, Information about graduates within arts and culture is reported to Statistics Denmark by the institutions of higher education within arts and culture. The information is complemented with information from the populations statistics, the educational statistics, the register-based labour force statistics , the register-based unemployment statistics and the income statistic., Read more about statistical processing, Relevance, The statistics was originally made as a tailor made solution for the Rectors' Conference. When the responsibility for the cultural statistics where handed over to statistics Denmark, Statistics Denmark also got the responsibility for the employment statistics for graduates within arts and culture., Read more about relevance, Accuracy and reliability, It is not possible to calculate the margins of statistical error. The statistics are compiled for the whole population and, therefore, there is no sample error., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 3-5 months after the latest input data source has been published. The latest data source is the register-based labour force statistics which is published 14-16 after the reference point in time., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2007 to 2010 and again in the current time series from 2010 onwards. Data breaches in 2010 are due to a number of mergers of educational institutions in the years from 2009 to 2011. There are no international standards for graduates from artistic and cultural educations' subsequent connection to the labor market. The statistics are therefore not directly comparable with statements from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Culture, education and employment, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employment-statistics-for-graduates-within-arts-and-culture

Documentation of statistics

Documentation of statistics: Working time accounts

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Working time accounts 2025 , Previous versions , Working time accounts 2024, Working time accounts 2023, Working time accounts 2022, Working time accounts 2021, Working time accounts 2020, Working time accounts 2019, Working time accounts 2018, Working time accounts 2017, Working time accounts 2016, The purpose of the Danish working time accounts (WTA) is to compile time series on hours worked and calculate wage and employment data for companies registered in Denmark. The statistics integrate and aggregate existing statistics, including the Labor Market Accounts (LMA) and Employees, and it is comparable since 2008., Statistical presentation, The statistics is a quarterly and yearly calculation of hours actually worked, number of employees, number of jobs and wages in DKK million. The statistics are distributed by industry, sector, whether you are an employee or self-employed, and by gender., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projections to periods for which structural data are not available. Summation of the data is conducted before they are projected. Data is seasonally adjusted for national use., In the new EU statistics under Council Regulation (EC) No 2019/2152 of 27 November 2019 concerning European Business Statistics, data are trade day adjusted before being compiled into indices, Read more about statistical processing, Relevance, The statistics is relevant for users interested in social and economic statistics., Read more about relevance, Accuracy and reliability, The statistics is mainly based on the Labour Market Accounts (LMA). LMA integrates and harmonizes a wide range of data sources in a statistical system. This means that LMA can illustrate the labour market better than individual statistics can. LMA is at the same time based on a total census of the population, so there is not the same uncertainty as with statistics based on sampling. The quality of the statistics has also been significantly improved by the fact that the projection period has been reduced compared to previous versions., Read more about accuracy and reliability, Timeliness and punctuality, The annual Working Time Accounts (WTA) are published 6 months after the reference year. The quarterly WTA are published two months and 15 days after the reference quarter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Working Time Accounts (WTA) provide data for Council Regulation (EC) No 2019/2152 of 27 November 2019 and for the National Accounts (SNA/ESA). Changes in these will typically lead to changes in the ATR. For an explanation of transition tables between ATR and SNA/ESA, see National Accounts publications., Read more about comparability, Accessibility and clarity, The statistics are published in in the , Statbank Denmark, . You can read more on our , website on the Working Time Account, WTA, and our , website on employment, ., S.6.2. Data sharing: In addition to quarterly figures to Eurostat (STS and indirectly via ESA), data from the Danish WTA are also transmitted to OECD (regional questionnaire) and ILO (ILOSTAT database) although the latter are transmitted in annual figures only., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/working-time-accounts

Documentation of statistics

Documentation of statistics: Milk and Dairy Products

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Milk and Dairy Products 2026 , Previous versions , Milk and Dairy Products 2025, Milk and Dairy Products 2024, Milk and Dairy Products 2023, Milk and Dairy Products 2022, Milk and Dairy Products 2021, Milk and Dairy Products 2020, Milk and Dairy Products 2019, Milk and Dairy Products 2018, Milk and Dairy Products 2017, Milk and Dairy Products 2016, Milk and Dairy Products 2015, Milk and Dairy Products 2014, The statistics are used to describe the purpose of the statistics on milk and dairy products is to illuminate the size and value of the milk production on the farms and the use of milk for dairy products. The statistics on milk and dairy product have a long history and the key figures covering the past 100 years are comparable. The statistics in their present form are comparable from 1990 onwards., Statistical presentation, The statistics on milk and milk products are a monthly and annual estimate of the total milk production of farmers. The delivered amount of milk on the dairies and the dairies' primary use of the milk weighed in and the production of a variety of fresh and processed dairy products as drinking milk and cheese. The statistics also contain data on organic milk delivered to dairies and the production of organic whole milk products for human consumption, butter and cheese. Every month data are transfer to Euro stat. , Read more about statistical presentation, Statistical processing, Data is collected monthly on milk and dairy products. Data comes primary from administrative records. The data received is checked for completeness and consistency, as well as consistency with previous periods. , Read more about statistical processing, Relevance, The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on milk and dairy product are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, Information on weighed milk and dairy production is generally accurate, as dairies are required to register and report these data. Since the weighed milk forms the basis for payments to milk producers, a high degree of precision is ensured. However, there may be uncertainty in the calculation of prices and values, as supplementary payments are only determined after the end of the dairy year. In addition, the consumption of milk on farms and for feed is based on professional estimates, which introduces a minor degree of uncertainty., Foreslå en ændring, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every month. For a specific month it will be published 1½ month after the end of the month concerned. A more detail year statistics will be publish ½ year after the end of the year concerned. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistical compilation methods have remained relatively stable over time, allowing for long time series. Much of the data is comparable with other EU countries, as it is prepared in accordance with the EU regulation on milk. Similar data for milk production in EU member states can be found on the Eurostat website., Read more about comparability, Accessibility and clarity, New month figures are published in Statbank in the tables , ANI71: Milk production and use of milk by unit (month), and yearly figures , ANI7: Milk production and use of milk by unit, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/milk-and-dairy-products

Documentation of statistics

Documentation of statistics: Accounts Statistics by Industry

Contact info, Food Industries, Business Statistics , Charlotte Wind von Bennigsen , +45 24 21 42 30 , cwb@dst.dk , Get documentation of statistics as pdf, Accounts Statistics by Industry 2024 , Previous versions , Accounts Statistics by Industry 2023, Accounts Statistics by Industry 2022, Accounts Statistics by Industry 2021, Accounts Statistics by Industry 2020, Accounts Statistics by Industry 2019, Accounts Statistics by Industry 2018, Accounts Statistics by Industry 2017, Accounts Statistics by Industry 2016, Accounts Statistics by Industry 2015, Accounts Statistics by Industry 2014, Accounts Statistics by Industry 2012, The purpose of the present version of accounts statistics for primary industries is to compile statistics on agriculture, fishery and aquaculture which are comparable with accounts statistics on private non-agricultural industries. Furthermore the purpose is to analyze the economics in the primary industries and can be the basis for business policy decisions. In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts. Data is available for 2008 and forward., Statistical presentation, The purpose of the statistics is to analyze the activity level and the structure of the Danish primary industries yearly. The basis of the statistics is detailed accounts items e.g. turnovers, costs, profits, assets, debts and investments. This statistics is a further processing of the data collected to the accounts statistics on agriculture, fishery and aquaculture., Read more about statistical presentation, Statistical processing, The preparation of data is mainly done when the accounts statistics on agriculture, fishery and aquaculture is made. Data is checked carefully on a individual basis. Enterprises with less than 0,5 person employed (paid or own occupation) are deselected. There is not implied further editing to the data., Read more about statistical processing, Relevance, The statistics is relevant because it compares the statistics on the primary industries to the statistics on non-agricultural accounts. In addition it is also input to the national accounts., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of a sample population and consequently, the results are subject to some degree of statistical uncertainty. However the reliability on the statistics is considered to be good., This assessment is based on a representation of agricultural land, livestock and turn-over for fisheries and aquaculture. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every and are expected to be published in April, 16 month after the ending of the accounting year. The statistics are released on time, with no delays relative to the planned publication dates., Read more about timeliness and punctuality, Comparability, The main purpose of the accounts statistics for the primary industries is that the results from the primary industries are comparable with the non-agricultural industries., Internationally the accounts data on agriculture are delivered to FADN while the accounts statistics on fishery and aquaculture is delivered to DG Mare, which compares the results with other EU countries., Read more about comparability, Accessibility and clarity, The statistics are available from StatBank Denmark under the subject , Enterprise finance and accounts, . The statistics is not published other places than in StatBank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-by-industry

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2026

Name: , DISCED15_AUDD_HOVED_V1_2026 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd