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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

Denmark Launches New Strategic Sector Cooperation Initiatives

Statistics Denmark is among the Danish authorities preparing to launch new projects under the Strategic Sector Cooperation (SSC) modality in the second half of 2025., 9 April 2025 13:30 , By , Klaus Munch Haagensen, Denmark is expanding its international development efforts with a new round of Strategic Sector Cooperation (SSC) projects, initiated by the Danish Ministry of Foreign Affairs. These initiatives align with the Denmark's evolving foreign, development, and economic diplomacy policies, with particular emphasis on the Government’s “Africa’s Century” vision., Among the Danish authorities preparing to launch new SSC projects in the second half of 2025 is Statistics Denmark, which will focus on supporting the green transition. This will be achieved by developing critical primary statistics to facilitate macroeconomic modelling of climate-related policies. , Other authorities set to initiate new SSC collaborations include the Ministry of the Interior and Health, the Environmental Protection Agency, and the Danish Patent and Trademark Office., The SSC instrument has become a cornerstone of Denmark’s international engagement strategy. It fosters equal partnerships between Danish public authorities and their counterparts in key developing countries - including nations in the European Union’s neighborhood - through the sharing of expertise in areas such as policy development, regulation, enforcement, and public-private collaboration., The primary objective of the SSC is to build the capacity of partner authorities to improve policy frameworks and enhance the delivery of public services. These efforts aim to promote inclusive, sustainable economic growth and support the global green transition., Secondary objectives, include strengthening bilateral relations, advancing climate diplomacy, and laying the groundwork for future commercial cooperation involving Danish technology and know-how., To support these efforts, sector counsellors are stationed at Danish embassies to coordinate projects, align them with the partner country’s priorities, and integrate them into the broader bilateral relationship. This strategic approach ensures that the SSC not only contributes to local development but also reinforces Denmark’s international presence in key sectors., More details, including the announcement of Statistics Denmark’s new partner country and insights into how sector cooperation projects are launched, will be shared in the next edition of our newsletter., Statistics Denmark already has projects in Ghana, Morocco and Vietnam under the Strategic Sector Cooperation modality. You can read more about the exisitng projects here: , ghana-2024-2026, morocco-2024-2026, vietnam-2022-2024, Facts about Strategic Sector Cooperation, – the aid- and development-oriented modality, 18 countries:, South and North America: Brazil, Colombia and Mexico, Africa: Egypt, Ethiopia, Ghana, Kenya, Morocco, Nigeria and South Africa, Asia: Bangladesh, China, India, Thailand, Indonesia and Vietnam, Europe: Ukraine and Türkiye,  , As of 2024, 11 Danish authorities are partners in the Strategic Sector Cooperation., 54 Strategic Sector Cooperation agreements have been concluded., 62 sector counsellors are posted at Danish embassies abroad – and more are on the way in selected high-income countries.

https://www.dst.dk/en/consulting/news-from-international-consulting/2025/09-04-2025-Denmark-Launches-New-Strategic-Sector-Cooperation-Initiatives

Documentation of statistics: Labour Usage in Social Care (Discontinued)

Contact info, Personal Finances and welfare, Social Statistics. , Birgitte Lundstrøm , bls@dst.dk , Get documentation of statistics as pdf, Labour Usage in Social Care 2019 , Previous versions, Labour Usage in Social Care 2018, Labour Usage in Social Care 2017, Labour Usage in Social Care 2016, Labour Usage in Social Care 2015, Labour Usage in Social Care 2014, The purpose of the statistics is to describes the staff working with nursing and care in the municipal and regional sectors and the staff working in municipal dental care and health care. The statistics are used to describe the number of employees by budget accounts from the authorized budget plan for municipalities and regions and by different kinds of occupation groups. The statistics have been compiled since 2008, but are revised in 2016. Data from 2016 and forward are not comparable to previous data. Further more the authorized budget plan has been revised in 2018. Some data are consequently not comparable to previous years., Statistical presentation, The statistics are a yearly measurement of municipal and regional staff working with nursing and care and the staff working in municipal dental care and health care. The statistics are based on information covering February only and measure the number of fulltime employees working with municipal and regional nursing and care and municipal dental care and health care. The number of fulltime employees are grouped by municipalities, regions, occupation and the authorized budget plan used by municipalities and regions., Read more about statistical presentation, Statistical processing, The statistics are based on data for February reported to the statistics of earnings for the municipal sector. Based on the authorized budget plan for municipalities and regions, institutions from the selected budget accounts, are selected. The number of fulltime employees are calculated on basis of the employees actual hours worked. The number of fulltime employees are summarized and grouped by municipalities, regions, budget accounts and selected occupations. A certain check is made concerning whether the institutions are connected to the right budget accounts and whether the occupation of the employees are considered to be correct., Read more about statistical processing, Relevance, These statistics are relevant for ministries, organizations and the public in general for planning and analysis purposes. , Read more about relevance, Accuracy and reliability, The data are associated with some uncertainty. This is primarily due uncertainty concerning connection of institutions and employees to budget accounts and connection of occupations to employees. This might cause variations over time in number of fulltime employees for the country as a whole and within municipalities. This is the case for both the total figures and when data are grouped by budget accounts and occupations. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published around 10 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, The statistics have been compiled since 2008, but is revised in 2016. Consequently data for 2016 and forward are not directly comparable to data published in previous years. The authorized budget plan for municipalities and regions is revised in 2018. Consequently some data for 2018 are not comparable to previous years. Other countries might publish similar statistics. The authorized budget plan for municipalities and regions that is used to select the relevant employees is however unique to Denmark. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank and can be found under the subject , Staff working with municipal and regional nursing and care, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-usage-in-social-care--discontinued-

Documentation of statistics

Documentation of statistics: Sales of real property

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 real property 2025 , Previous versions, Sales of real property 2024, Sales of real property 2023, Sales of real property 2022, Sales of real property 2021, Sales of real property 2020, Sales of real property 2019, Sales of real property 2018, Sales of real property 2017, Sales of real property 2016, The statistics for Sales of real estate property measure the number of sales and prices of transactions of Danish real estate properties. The statistics are used for monitoring developments in the real estate market, as well as economic developments. The current price indices link back to 1992. There are price indices for previous years, but there are methodological differences., Statistical presentation, This statistics are published monthly including price and volume trends in real estate transactions, such as one-family houses, owner-occupied flats, agricultural properties and business properties. These statistics contain key figures broken down by category of real estate property, region, type of transfer, price index and period. The statistics include all registered real estate transactions, which include land, both newly built and existing properties., Read more about statistical presentation, Statistical processing, Data concerning the registration of ownership of real estate properties is collected on a monthly basis from the electronic land registration system via Datafordeleren. The data is checked for errors by Statistics Denmark. The individual real estate transactions are divided according to category of real property, region, type of transfer and period. Aggregated figures are then calculated for number of sales, average prices and the ratio between purchase price and appraisal value (spar-value). Finally, the price index is calculated., Read more about statistical processing, Relevance, There is a great interest for the published numbers among users, which follows the currently economic business cycle. The statistics of sales of real properties are relevant for the banking- and financial sector, real estate agents, politicians, researchers and the news media. The users consider the statistics for sales of real estate properties as an important economic indicator. The statistics have a high profile in the press and among other professional users., Read more about relevance, Accuracy and reliability, The precision of the price development is the result of the quality of the appraisals and of the assumptions in the SPAR-method, which seeks to correct the quality of the sold properties in order to measure the pure price development. There is no significant bias in the preliminary figures for the price development, while the preliminary figures for the average prices are underestimated, as they are not corrected for the bias in the registration pattern., Read more about accuracy and reliability, Timeliness and punctuality, The statistics for sales of real property publish preliminary quarterly and annual figures 3 months after the end of the reference period. Monthly figures are published only as final figures. Final figures are available 13 months after the end of the reference period. The statistics are published without delays in the planned releases. , 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 sales of real properties is published in , News from Statistics Denmark, . Detailed figures can be found in , StatBank, and in the [Online payment data bank](https://www.dst.dk/betalingsdatabank. Historical figures can be found in the publication series , Ejendomssalg, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-real-property

Documentation of statistics

Documentation of statistics: Social resources

Contact info, Personal Finances and Welfare , Birgitte Lundstrøm , +45 24 21 39 65 , BLS@dst.dk , Get documentation of statistics as pdf, Social resources 2022 , Previous versions, Social resources 2021, Social resources 2020, Social Resources 2019, Social Resources 2018, Social Resources 2017, Social Resources 2016, Social Ressources – Elderly and Adults 2015, Social Ressources – Elderly and Adults 2014, The purpose of the survey is to establish the available social resources (capacity, number of users, and general organization, etc.) in Danish municipalities. Furthermore, the survey analyses the social- and health-care related services administered by municipalities. These services include care for the elderly, dental services for children and young people and special institutions for children and young people etc. The social resources survey includes public and privately owned institutions. The statistics are published for the first time in 1972 but have been changed over time due to changes in legislation an user needs., Statistical presentation, Social resources is a yearly measurement of social services delivered by municipalities concerning care for elderly, adults and children and young people receiving social benefits . The data are published for Denmark as a whole. Some data are further more grouped by regions or municipalities. , Read more about statistical presentation, Statistical processing, Data are collected yearly from municipalities from six questionnaires. Data are validated against previously collected information and controlled for large variances over time. Further more data are checked for inconsistency and validated against legal developments at the area. Some data concerning age distribution are imputed where municipalities have only registered total data. , Read more about statistical processing, Relevance, The statistics are primarily of interests for the central government and various government boards and are used for estimating and planning capacity and occupancy rates within social services. Core actors and users of the survey are actively involved in adjusting the content each year which means that user needs are taken into account., Read more about relevance, Accuracy and reliability, The survey is a full-scale census based on responses from all municipalities. In some cases it is difficult for the municipalities to provide the correct data from their systems or they change their way of reporting data. In these cases data received might be less accurate of vary over time. A certain statistical uncertainty is caused by municipalities difficulties with estimating different services and caused by different administrative practices between municipalities. , Read more about accuracy and reliability, Timeliness and punctuality, Most of the information are collected for one single week in April depending on Easter. In some cases data are collected for the entire previous year. A Danish press release and a number of corresponding tables (RESI01, RESP01, RESDHJCE, RESMAD, RESANDHJ, RESPLEJV, RESPRVHJ, RESTAND) are published at the end of November then same year. The rest of the tables (RESFAMPL, RESHJMTR, RESLED, RESFDPJ, RESSBU2) are published in the Statbank at the end of March the following year. These statistics are normally published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The survey goes back to 1972. However, due to yearly changes the version used in 1972 has little in common with the one used today. Furthermore, due to the municipal reform there was a break in times series in 2006 and 2007. The totals for the country as a whole are, however, comparable before and after the reform., Read more about comparability, Accessibility and clarity, These statistics are published once a year in a Danish press release. Further more the statistics are published in the StatBank under the subjects:, Elderly people receiving social benefits, , , Disadvantaged children and young people, , , Disability care, , , Health, Visits to physicians, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-resources

Documentation of statistics

Documentation of statistics: Manufacturers’ Purchases of Goods and Services

Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Purchases of Goods and Services 2023 , Previous versions, Manufacturers’ Purchases of Goods and Services 2022, Manufacturers’ Purchases of Goods and Services 2021, Manufacturers’ Purchases of Goods and Services 2020, Manufacturers’ Purchases of Goods and Services 2019, Manufacturers’ Purchases of Goods and Services 2018, Manufacturers’ Purchases of Goods and Services 2017, Manufacturers’ Purchases of Goods and Services 2016, Manufacturers’ Purchases of Goods and Services 2015, Manufacturers’ Purchases of Goods and Services 2014, Manufacturers’ Purchases of Goods and Services 2013, Manufacturers’ Purchases of Goods and Services 2012, The purpose of the statistics is to give detailed information about the input structure of industrial production. The input measured is raw and auxiliary materials used in the processing and production of commodities, packing materials, and purchases of services. The data are divided by detailed industrial groups (NACE-groups). , The main use of the survey is in the National Accounts., Statistical presentation, The survey describes the use of raw materials, semi-manufactured products, intermediary products, purchase of services, and packing costs in the production of industrial commodities., The statistics are distributed to groups of industries., Read more about statistical presentation, Statistical processing, The reported data are validated and aggregated. In addition, imputations are made for non-response. But there is no grossing up, and the published figures cover only the covered enterprises (at least 50 employees or yearly turnover of 100 mio. DKK)., Read more about statistical processing, Relevance, The most important user of the statistics is the National Accounts, but they are also used in research and for analytical purposes., Read more about relevance, Accuracy and reliability, The statistics have a quality concerning the description of purchases by the covered enterprises, i.e. enterprises with at least 50 employees or a yearly turn over of at least 100 million DKK. It can be considered a lack in quality that purchases by smaller enterprises are not included, as these purchases are presumably different from purchases of the largest enterprises., The statistics do not cover the entire Manufacturing industry, but only enterprises with over 50 employees or an annual turnover of DKK 100 million. DKK and thus cannot say anything about the smaller enterprises' purchases, as their purchases must be assumed to be different. The detailed distribution of the individual commodity codes is subject to some uncertainty, as these are often based on an estimate. The total purchase for the covered enterprises is less uncertain, as only less than 2 per cent of responses are missing and last year's purchases figures are used for these enterprises., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published mid-March, i.e. 10.5 months after the end of the reference period. Punctuality is very high., Read more about timeliness and punctuality, Comparability, The statistics are comparable since 2002, as no significant changes have been made since then., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--purchases-of-goods-and-services

Documentation of statistics

Documentation of statistics: Waste Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Waste Accounts 2023 , Previous versions, Waste Accounts 2022, Waste Accounts 2021, Waste Accounts 2020, Waste Accounts 2019, Waste Accounts 2018, Waste Accounts 2017, Waste Accounts 2016, Waste Accounts 2015, Waste Accounts 2014, Waste Accounts 2013, Documents associated with the documentation, affaldsfraktioner_oversigt_ny3 (pdf) (in Danish only), The purpose of the Waste Accounts is to provide insight into how much waste is generated in different parts of the economy, what types of waste exist, and how it is treated. The accounts also include imports and exports of waste. The Waste Accounts have been published since 2015, based on data from the Danish Environmental Protection Agency. The Waste Accounts is a part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, Waste accounts measure the amounts of generated waste distributed to 117 industry groups. Within the industry groups, waste is distributed according to categories and forms of treatment. Imports and exports of waste are distributed according to form of treatment and waste category. The waste accounts are published annually and disseminated through a press release and tables in the StatBank., Municipal waste by municipality, treatment form and waste type is compiled for the first time in 2023., Read more about statistical presentation, Statistical processing, Waste data are validated in the Danish Environmental Protection Agency before Statistics Denmark receives them. The data processing in Statistics Denmark primarily concerns the detailed and complete distribution of the waste to the 117 industry groups of the Green National Accounts., Read more about statistical processing, Relevance, Waste accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in waste, resources, economic-environmental interactions, the circular economy etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The quality is good concerning the figures for total amounts of waste as well as the amounts for different forms of treatment. However, the distribution by waste fractions become more uncertain at more detailed levels, due to measurement errors (in the reporting)., The detailed distribution according to industry groups is subject to uncertainty, both in the source (ADS) and in the assumptions made in the distribution of waste to detailed industry groups. , Waste by individual municipalities is less precise than totals for the municipality groups due to waste from one municipality being treated at a facility in a different municipality, or waste stations being used by inhabitants of several different municipalities etc., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 21 months after the end of the reference period. The long production time is due to the dependency on data from the Danish Environmental Protection Agency. The statistics are normally released on schedule without delay., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Waste Accounts are unchanged throughout the period covered by published figures. International comparison is possible with all other waste accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Waste Accounts, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Short-Cycle Higher Education

Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Short-Cycle Higher Education 2025 , Previous versions, Short-Cycle Higher Education 2024, Short-Cycle Higher Education 2023, Short-Cycle Higher Education 2022, Short-Cycle Higher Education 2021, Short-Cycle Higher Education 2020, Short-Cycle Higher Education 2019, Short-Cycle Higher Education 2018, The statistics about short-cycle higher education describe activity on short-cycle higher education in Denmark. Short-cycle higher educations are typically 1-2 years in duration. The statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all pupils and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on short-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. Short-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 40. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer short-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time, which is 1 October. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on short-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as short-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/short-cycle-higher-education

Documentation of statistics

Documentation of statistics: Medium-Cycle Higher Education

Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Medium-Cycle Higher Education 2025 , Previous versions, Medium-Cycle Higher Education 2024, Medium-Cycle Higher Education 2023, Medium-Cycle Higher Education 2022, Medium-Cycle Higher Education 2021, Medium-Cycle Higher Education 2020, Medium-Cycle Higher Education 2019, Medium-Cycle Higher Education 2018, The statistics about medium-cycle higher education describe activity on medium-cycle higher education in Denmark. Medium-cycle higher educations are typically 1-2 years in duration. The statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on medium-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. Short-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 50. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer medium-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time, which is 1 October. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on medium-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as medium-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/medium-cycle-higher-education

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_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: , Population and Education , Contact: , NHD , 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?id=bc145b5a-c843-473c-ada8-fee6be0fa77a