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Documentation of statistics: Government deficit and debt in the EU-countries

Contact info, Government Finances, Economic Statistics , Jesper Lillebro Feddersen , +45 20 51 61 92 , JEF@dst.dk , Get documentation of statistics as pdf, Government deficit and debt in the EU-countries 2025 , Previous versions , Government deficit and debt in the EU-countries 2024, Government deficit and debt in the EU-countries 2023, Government deficit and debt in the EU-countries 2022, Government deficit and debt in the EU-countries 2021, Government deficit and debt in the EU-countries 2020, Government deficit and debt in the EU-countries 2019, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2018, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2017, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2016, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2015, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2014, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2013, EMU-debt and EMU-deficit (Government deficit and debt) is the statistical data required for the excessive deficit procedure (EDP) in the Economic and Monetary Union in according to the Maastricht Treaty and Stability- and Growth Pact. The EU-Commission uses the statistics to monitor and examine the development of the budgetary situation and government debt in Denmark in accordance with the Maastricht Treaty convergence criteria. The Compilations are based on the European System of Accounts (ESA2010). However, on some points they differ from ESA2010, e.g. on the valuation of debt, which is at nominal value., Statistical presentation, The compilation of consolidated gross debt at nominal value for general government is sometimes referred to as EMU-debt/government debt. The deficit is sometimes referred to as the EMU-deficit/government deficit. Government deficit and debt in EU covers data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt covers data on ESA2010 back from 2000., Read more about statistical presentation, Statistical processing, Main sources are balance sheets and income statements from the central government, regions and municipalities and and social security funds. Frequency of data collection is Semi-annual and quarterly. Because of the number of consistency checks and data confrontations facilitated by the system of accounts. Further more Eurostat/EU-commission assess the quality of EDP-data by a detailed inventory, a clarificationproces after the notifications and by standard dialogue and upstream visits every second year., Read more about statistical processing, Relevance, High., Read more about relevance, Accuracy and reliability, The government deficit and debt is based on accounts figures for the whole general government sector that have a very limited degree of inaccuracy. , The statistical uncertainty is not calculated. , The overall accuracy is considered to be relatively high., Read more about accuracy and reliability, Timeliness and punctuality, Debt: End of the quarter and end of the year., Deficit: Current year., The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Government EMU-debt is to a certain degree comparable with quarterly financial accounts for general government since both statistics are based on the sectors and instruments defined in ESA2010. The primary differences are: Government EMU-debt is based on nominal values, while quarterly financial accounts for General Government are based on market values., In a similar way, Government Deficit is comparable with the national accounts compilations of net-lending for General Government in the so called March- and June-versions., Difference between the government surplus and the EDP Balance in 2024 and 2025: In its press release of , 21 October 2026, , Eurostat noted, in relation to Denmark’s EDP (Excessive Deficit Procedure) reporting, that the surplus for 2024 and 2025 is correct, but that total revenue for those years does not correspond to the surplus reported under the EDP framework. Total revenue is not part of the EDP reporting and is instead taken from the compilation of government finances within the national accounts system. The discrepancy (DKK 600 million in 2024 and DKK 700 million in 2025) is due to a correction of overstated central government dividend income in the government finance statistics compiled under the national accounts framework. As a result, the general government balance is overstated by the same amounts compared with the EDP balance reported under the EDP framework. When the government finance statistics and the national accounts are compiled in June 2027, the figures will be revised so that the government surplus and the EDP balance once again correspond. This is in accordance with Statistics Denmark’s revision policy for regular revisions, which is designed to maintain the very close consistency between the government finance statistics and the national accounts. A overview of the difference can be found in Danish here: , Udbytteindtægter, Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under the subject , EMU debt and EMU balance, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-deficit-and-debt-in-the-eu-countries

Documentation of statistics

Documentation of statistics: Patents (Discontinued)

Contact info, Science, Technology and Culture, Business Statistics , David Boysen Jensen , +45 61 50 73 82 , DBY@dst.dk , Get documentation of statistics as pdf, Patents 2017 , Previous versions , Patents 2014, Patents 2013, The purpose of collecting data on trade in IP-rights is to estimate the size of and the development in the trade and use in Intellectual Property Rights (patents, trademarks, design, utility models) of Danish enterprises. These statistics was established on 2008 in cooperation with the Danish Patent and Trademark Office., Statistical presentation, In the statistics are shown trade with IP-rights as well as the enterprises administration and use of these rights. Voluntary questions are to some extend included in surveys., Read more about statistical presentation, Statistical processing, Annual data collection from a sample of 3,000 enterprises out of 17,000 with more than 10 FTE (Full Time Employed). The enterprises are grouped in 45 strata, each subdivided in two (prioritized/not prioritized), The final weights are compiled according to total number of enterprises in each strata and the number of responding enterprises. In case unreliable data are observed, clarification is made via contact to the enterprises., Read more about statistical processing, Relevance, Statistics on trade in IPR meets some of the clients needs. Some clients could like to know the value of trade, which is not collected from enterprises. The Danish Patent and Trademark Office and business associations are main users of the results., Read more about relevance, Accuracy and reliability, The IP-rights traded is in some cases based on an estimate from the respondent, and therefore there are some uncertainty connected with the raised figures. Further, the sample strategy itself leads to uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, Yearly as scheduled no later than a year after reference year., Read more about timeliness and punctuality, Comparability, The Danish Patent and Trademark Office compile statistics on applications for IP-rights., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Innovation and patents, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Social benefits for senior citizens

Contact info, Personal Finances and Welfare, Social Statistics , Nina Thøgersen , +45 21 20 32 67 , NIT@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions , Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation , Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

Documentation of statistics

Documentation of statistics: ICT Usage in Households and by Individuals

Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2026 , Previous versions , ICT Usage in Households and by Individuals 2025, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, Documents associated with the documentation , Metodedokument for Befolkningens brug af IT 2026 (pdf) (in Danish only), The purpose of the statistics ICT Usage in Households and by Individuals is to analyze the access to and use of the Internet, and to follow the development. Statistics Denmark disseminates a smaller part of the overall survey. Eurostat is responsible for the primary dissemination of the results. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperatio. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, education, income and region. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are listed to ensure representativeness. The sample is drawn based on gender and age group. The collected interview data is integrated with a number of Statistics Denmark registers, which provide the relevant background information. Based on register information, weights are constructed that correct for certain groups responding less frequently than others. The sample weights ensure that the participants in the survey have the same composition as the Danish population. The calculation is done by regression estimation., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., 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 , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

Documentation of statistics

Documentation of statistics: Retail Trade Index

Contact info, Short Term Statistics, Business Statistics , Tinus Blæsbjerg , +45 29 47 89 62 , TCL@dst.dk , Get documentation of statistics as pdf, Retail Trade Index 2026 , Previous versions , Retail Trade Index 2025, Retail Trade Index 2024, Retail Trade Index 2021, Retail Trade Index 2020, Retail Trade Index 2019, Retail Trade Index 2018, Retail Trade Index 2017, Retail Trade Index 2016, Retail Trade Index 2015, Retail Trade Index 2014, The Retail Trade Index shows the development in turnover within the retail trade sector. The statistics is published monthly and is primarily used as short term indicator for private consumption as well as the general business cycle movement. The statistics have been compiled since 1940, but are comparable from 2015 onwards in their current form., Statistical presentation, Retail trade indices are published for 33 industries. Value and volume indices are produced. The statistics are based on survey data from all large retail trade enterprises and a sample of the remaining retail trade enterprises, which are requested to submit information about their turnover each month. Seasonal adjustment is performed of the industries and the total., Read more about statistical presentation, Statistical processing, The survey is based on a sample of Danish retail trade enterprises. The sample includes approximately 2,200 enterprises, and at the time of the first publication, the figures for a month are based on responses from approximately 1.800 of these enterprises for the initial publication. , The sample consist of 33 subgroups and enterprises are sampled based on their share of the yearly turnover for the given subgroup. The companies are ranked from largest to smallest and the companies, whose rank constitutes the bottom 10 pct. of turnover for their subgroup when summed, are never selected to participate. The companies whose rank lies between 11 and 49 pct. of the subgroup’s yearly summed turnover, are randomly selected. Lastly, the larger firms whose turnover altogether lies in the top 50 pct. of the yearly turnover for their subgroup are always included in the sample. The companies are selected based on VAT-declarations to the Danish tax administration. , Read more about statistical processing, Relevance, Many users who monitor the current business trends take an interest in the published statistics of retail trade. The demand for the statistics is broadly based in trade associations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to the quarterly national accounts statistics and to Eurostat's pan-European statistics. The users view the retail trade index as an important short term indicator, and it often gets a lot of attention in the media and amongst other professional users. , Read more about relevance, Accuracy and reliability, The overall uncertainty of the total retail trade index is estimated to be less than 1 per cent. The accuracy of the monthly growth rate is generally very high. For the total index, the uncertainty is estimated to be maximum 0.2 percentage points, while it can be a little higher on commodity group level., Read more about accuracy and reliability, Timeliness and punctuality, Indices on the main industry groups are published already 22-28 days after the end of the month. This is rather quick for statistics based on a survey such as this. One month later the indices on the most detailed industry level are published. The punctuality is very high with delays happening very rarely. , Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1940, but they are not suited for long term time series analysis because of structural changes in the retail trade sector. The sample design and the calculation methods have been adjusted several times, last time in January 2026, where the time series back to 2015 where recalculated using new methods. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Retail Trade Index, . The Retail Trade Index also has a , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-index

Documentation of statistics

Documentation of statistics: Local Government Personal Income Taxation and Church Tax

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Local Government Personal Income Taxation and Church Tax 2026 , Previous versions , Local Government Personal Income Taxation and Church Tax 2025, Local Government Personal Income Taxation and Church Tax 2024, Local Government Personal Income Taxation and Church Tax 2023, Local Government Personal Income Taxation and Church Tax 2022, Local Government Personal Income Taxation and Church Tax 2021, Local Government Personal Income Taxation and Church Tax 2015, Local Government Personal Income Taxation and Church Tax 2014, The purpose of Local government personal income taxation and church tax is show the development of these taxes as well as land tax. The tax rates are decided by the local governments by the 15th of October the year before the relevant income year. The Statistics was first time published in 1927, but in its current form the statistics covers and is comparable from 2007., Statistical presentation, The statistics show the development in local government personal income tax, church tax and land tax rates as determined by the local authorities in each municipality. The figures are compiled annually at the municipal level, and weighted averages are calculated for regions and for the entire country. The statistics are published in the StatBank., Read more about statistical presentation, Statistical processing, The statistics is based on reports from the local authorities to the Ministry of the Interior. The published budget figures also form the basis for the amount of advance payments transferred from the central government to the municipalities. The collected material is validated against last year’s data as well as information regarding which municipalities have changed their tax rates. There are no further corrections of data., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have no sources of statistical uncertainty of importance. This is because local government income taxes is determined by a financial agreement between Local Government Denmark (KL) and the government. Afterwards, both KL and the Ministry of the Interior check and verify the numbers. It is not allowed to make changes the foundation for the local government income taxes once it have been approved, which is also why there are no revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of November in the year before the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics was published for the first time in 1927. However, changes to both the municipality as well as country structure makes the comparison across time difficult. The current structure makes it possible to compare from 2007 and onwards. The taxation systems differ widely across countries, which makes the geographical comparison difficult based on national sources because of concept and calculation differences., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Taxes and duties, . For further information, go to the subject page for , Taxes and duties, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/local-government-personal-income-taxation-and-church-tax

Documentation of statistics

Documentation of statistics: Child Maintenance

These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Child Maintenance, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/child-maintenance

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 2024 , Previous versions , Waste Accounts 2023, 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 Energy 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 Energy 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 Energy 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

Names

How many Danes share a certain name? And what is the most popular name for a baby girl or boy? Here is the statistic for names in Denmark.

https://www.dst.dk/en/Statistik/emner/borgere/navne

Subject page

Classification of education (DDU), completed educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DDU_AUDD_V1_2023 , 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 completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based 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: , December 1, 2023 , Valid to: , January 31, 2026 , Office: , Befolkning og Uddannelse , Contact: , Arancha F. Romero, , aro@dst.dk, , ph. +45 93 90 20 20 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd?id=2a22d134-f097-4d6e-91a6-0cdd6cafca7b