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Classification on education (DISCED-15), current educations, v1:2018

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2018 , 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, 2018 , Valid to: , January 31, 2019 , 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 on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=4a94066b-cde2-4885-ab12-8ade74ab4757

Classification on education (DISCED-15), current educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2020 , 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, 2020 , Valid to: , January 31, 2021 , 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 on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=4b03de83-a982-4373-b93a-988de73d5486

Documentation of statistics: ICT Use in Enterprises

Contact info, Science, Technology and Culture, Business Statistics , Anton Lyngvold Erenbjerg , +45 20 14 57 90 , AEL@dst.dk , Get documentation of statistics as pdf, ICT Use in Enterprises 2025 , Previous versions, ICT Use in Enterprises 2024, ICT Use in Enterprises 2023, ICT Use in Enterprises 2022, ICT Use in Enterprises 2021, ICT Use in Enterprises 2020, ICT Use in Enterprises 2019, ICT Use in Enterprises 2018, ICT Use in Enterprises 2017, ICT Use in Enterprises 2016, ICT Use in Enterprises 2015, ICT Use in Enterprises 2014, The purpose of the statistics is to shed light on the use of ICT in enterprises, including e-commerce and benefits/barriers to the use of ICT technologies. The survey is harmonized with the EU model questionnaire, which is used in most member states. The statistics form part of Statistics Denmark's focus on the information society. The survey has been carried out annually since 1998. , Statistical presentation, The statistics are published annually and describes the use of ICT in enterprises in Denmark. The following areas are covered: The prevalence and use of ICT, including ICT technologies and e-commerce. A considerable number of variables are replaced each year as a result of the development in user needs and new technology. The survey covers enterprises with more than 10 employees in the private, non-financial urban industries., Read more about statistical presentation, Statistical processing, The statistic is annual and questionnaire-based. Validation includes consistency checks built into the digital form, combined with subsequent checks and possible re-contact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity and enterprise size class., Read more about statistical processing, Relevance, The results are used by ministries, organizations, researchers and journalists etc., as a basis for political interventions, analyses, articles and research projects etc. A considerable number of variables are replaced each year as a result of the development in user needs and the need to measure new technology. The on-going development of the survey contents takes place in close dialogue with national stakeholders as well as in the European Union fora. The statistics is co-funded by the European Union., Read more about relevance, Accuracy and reliability, The results from the survey for enterprises with at least 10 full-time employees are based on data from 4,071 enterprises from a total population of 18,391 enterprises. The survey is sample based and consequently there is some uncertainty in the results in the form of random variation from the branch and enterprise size. Every year uncertainty calculations are produced, and these show that the sampling uncertainty is limited. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published seven months after the end of the reference period. No preliminary figures are published. Results are published in September, where the reference period is January (and, for some variables, the previous calendar year)., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states. A large number of questions in the survey are replaced annually, so there is not a continuous time series for all the results., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-use-in-enterprises

Documentation of statistics

Documentation of statistics: Home to work commuting

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Home to work commuting 2024 , Previous versions, Commuting 2016, The statistics measure commuting between place of residence and workplace within Denmark, including the distances between commuters’ homes and workplaces. Commuting statistics viewed as commuting between municipalities can be compiled from 1980 onwards. The distance between home and workplace was first calculated in 2006. The statistics are comparable in its current form from 2008 onwards., Statistical presentation, The statistics provide an annual, individual-based account of employed persons’ commuting between place of residence and workplace on the last working day of November. The distance between commuters’ home and workplace is also calculated in kilometres (km). The commuting statistics are published the StatBank, where the data can be distributed on place of residence, workplace, commuting distance, gender, industry (DB07), and socio-economic status., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is compiled taking a snapshot (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistics are based on the Register-Based Labour Force Statistics (RAS), which are used to describe the population’s attachment to the labour market. RAS is compiled from a wide range of data sources that are integrated, error-checked, and harmonised within the labour market accounts. RAS is produced as a snapshot at the end of November based LMA. Therefore, RAS does not carry the same level of uncertainty as statistics based on sample surveys., It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, Commuting statistics for commuting between municipalities are published approximately 11 months after the reference date. Commuting distances are published approximately 17 months after the reference date. , Read more about timeliness and punctuality, Comparability, The statistics can be compiled from 1980 and are comparable from 2008 onwards. Historically, there have been various data breaks in the RAS statistics, which are described in the statistical documentation for RAS., Read more about comparability, Accessibility and clarity, In the StatBank the statistics is published can be found under the subject , Home to work commuting, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

Documentation of statistics

Documentation of statistics: Emission Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Emission Accounts 2024 , Previous versions, Emission Accounts 2023, Emission Accounts 2022, Emission Accounts 2021, Emission Accounts (including the climate footprint) 2020, Emission Accounts 2019, Emission Accounts 2018, Emission Accounts 2017, Emission Accounts 2016, Emission Accounts 2015, Air Emission Accounts 2013, Documents associated with the documentation, Metodedokument for statistikbanktabel LABY34 (pdf) (in Danish only), The purpose of the Air Emission Account is to illustrate the emission of greenhouse gases and other air pollutants related to industry and households energy consumption and other activities. The accounts can be used for climate and environmental-economic analysis. The emission accounts are developed for 1990 and onwards according to EEA, System of Environmental Economic Accounting, which is a statistical standard published by the UN and several other international organizations provides the "State of the art" for Green National Accounts. The statistics is part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, The air emission accounts are annually accounts on the emission of greenhouse gases and other air pollutants. The air emission accounts follow the same definitions and classification as National Accounts, which allows for analyses of the connection between the economy and air pollution. The accounts are published in a Danish press release and in StatBank under the subject , Energy and air emissions, ., Read more about statistical presentation, Statistical processing, Emission accounts are compiled taking energy accounts as a starting point for the emissions caused by the use of energy. Emissions caused by other factors than energy use are added subsequently and distributed among the relevant industries., Read more about statistical processing, Relevance, Environmental Accounts are relevant for those interested in the correlation between the economy on the one side and environment and natural resources on the other side. Ministries and consultant firms are among the main users of environmental accounts. Accounts are included in the overall European environmental accounts, collected and compiled by Eurostat., Read more about relevance, Accuracy and reliability, There is an uncertainty connected to the compilation of Air Emission Accounts as a combination of scientific assumptions and calculations have to be made. Uncertainty inherited in the source data is transferred to the Air Emission Accounts. However, conceptually consistent and over time uniform treatment of source data contribute to increasing the certainty of data., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published nine month after the reference year without delays., Read more about timeliness and punctuality, Comparability, The industry classification in the tables is the same as the one used in the national accounts. The tables can therefore be compared to other statistics based on the industry classification. Accounts are compiled in form of time series. For example accounts for air emissions are available for each year from 1990 until the last year that is published. Accounts are consistent and fully comparable within these years. On the more aggregated level, the Danish accounts are comparable with accounts of other EU countries compiled according to the Regulation no. 691/2011 on European environmental economic accounts., Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Energy and air emissions, . For further information, go to the subject page for , Energy and Emission Accounts, . , Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: High Growth Enterprises

Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2024 , Previous versions, High Growth Enterprises 2023, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

Documentation of statistics

Documentation of statistics: Sales of housing cooperatives

Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of housing cooperatives 2025 , Previous versions, Sales of housing cooperatives 2024, Sales of housing cooperatives 2022, The purpose of the statistics for cooperative housing is to monitor the price development in the property value of the cooperative housing units traded. The statistics has been produced since November 2023 and covers the period from 2015Q1 and onwards and it is comparable throughout the entire period., Statistical presentation, The statistics for cooperative housing is a quarterly price index for the property value of the cooperative housing units traded. The statistics contains price indices to describe the price development over time and numbers for the use of different valuation principles. The statistics includes all traded cooperative housing units that have been registered through http://www.andelsboliginfo.dk. This registration has been mandatory for the cooperative housing associations since June 1st 2021., Read more about statistical presentation, Statistical processing, Key figures on cooperative housing associations and cooperative housing units are reported to Statistics Denmark through http://www.andelsboliginfo.dk on a quarterly basis. The collected data is validated by Statistics Denmark and enriched with data from the Danish Buildings and Dwellings Register which is validated. Finally, price indices and the distribution of valuation principles are calculated., Read more about statistical processing, Relevance, The statistics are relevant for banks and the financial sector, estate agents, politicians and actors in the cooperative housing sector who use the figures for analyses of price developments and assessments of regulation in the housing market. As there used to be limited statistics on cooperative housing, the statistics contribute to a more transparent housing market., Read more about relevance, Accuracy and reliability, The precision of the calculated price development depends on the hedonic regression which ensures the quality correction of the cooperative housing units sold and on the collected data. The development in the choice of valuation principles in the data from 2015 and onwards is assessed to be fairly accurate., The statistics for cooperative housing is based on information from http://www.andelboliginfo.dk which is a register of sold cooperative housing in Denmark. Thus, the reliability of the preliminary figures is assessed to be acceptable. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics on cooperative housing publishes preliminary quarterly figures two months after the end of the reference period. It has not been decided when the figures are final. The statistics on cooperative housing is published without delay with regards to the planned publications., Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for cooperative housing is published on a quarterly basis in the , Statbank, and yearly in , Nyt fra Danmarks Statistik, along with the publication of the 4th quarter., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-housing-cooperatives

Documentation of statistics

Documentation of statistics: Housing benefits

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing benefits 2025 , Previous versions, Housing benefits 2024, Housing benefits 2023, Housing benefits 2022, Housing benefits 2021, Housing benefits 2020, Housing benefits 2019, Housing benefits 2018, Housing benefits 2017, Housing benefits 2016, Housing benefits 2015, Housing benefits 2014, Housing benefits 2013, Documents associated with the documentation, Social tryghed i de nordiske lande (pdf) (in Danish only), Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published three months 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, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., 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 , Housing benefits, ., Read more about accessibility and clarity

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

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2023 , 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, 2023 , Valid to: , January 31, 2024 , 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 on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=10bd06b8-5633-4790-a32e-4edbcf5f91da

Documentation of statistics: Labour Market Account

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

Documentation of statistics