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Documentation of statistics: Municipality and Region accounts

The budgets and the accounts of municipalities and regions inform for the economic situation in municipalities and regions. The statistics show how the funds of the municipalities and regions have been used, how they are budgeted and a status of the economic situation. The tables goes back to 2007, where the latest municipal reform came into force.

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/municipality-and-region-accounts

Documentation of statistics

The UN Sustainable Development Goals

In 2015, the UN's 193 member states - including Denmark - adopted 17 Global Goals, also called Sustainable Development Goals or SDGs. Statistics Denmark’s SDG platform shows, for a large number of indicators, the fulfillment of the Global Goals for Denmark

https://www.dst.dk/en/Statistik/temaer/SDG/globale-verdensmaal

Persons on public benefits

Persons below the state pension age on public benefits, Shows the development in the number of full-time unemployed, disability pensioners, recipients of state education grants and people on other types of public benefits., Cash benefits, Shows the development in the number of cash benefit recipients., Sickness benefits, Shows the development in the number of sickness benefit recipients., Parental leave benefits, Shows parents' use of parental leave, including the distribution of the leave between the parents., Old-age pensioners and disability pensioners, Shows the development in the number of retirement pensioners, disability pensioners and receivers of senior pension and early retirement pension.

https://www.dst.dk/en/Statistik/emner/sociale-forhold/offentligt-forsoergede

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Documentation of statistics: Research and development in the public sector

Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Research and development in the public sector 2024 , Previous versions , Research and development in the public sector 2023, Research and development in the public sector 2022, Research and development in the public sector 2021, Research and development in the public sector 2020, Research and development in the public sector 2019, Research and development in the public sector 2018, Research and development in the public sector 2017, Research and development in the public sector 2016, Research and development in the public sector 2015, Statistics on Research and Development – Public sector 2014, Statistics on Research and Development – Public Sector 2013, Statistics on Research and Development – Public sector 2012, The purpose of the statistics on Research and Development in the public sector is to illustrate the extent of R&D activities carried out within the public sector. The statistics are used, among other things, to assess the share of GDP devoted to research and development. The survey is conducted according to the OECD guidelines for research and development (R&D) statistics, as set out in the Frascati Manual. The statistics have been produced since 1997, but are comparable in their current form from 2007 onwards., Statistical presentation, The statistics provide an annual account of R&D in the public sector, showing both expenditure (in millions of kroner) and personnel (in numbers and full-time equivalents). The data are distributed by main sectors, types of expenditure, scientific fields, and type of research., Read more about statistical presentation, Statistical processing, The statistics are based on questionnaires and are collected annually from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. The reported data undergo extensive validation, focusing on a number of high-priority variables, particularly R&D expenditure and R&D full-time equivalents. Validation is performed at both the macro and micro level., Read more about statistical processing, Relevance, There is a general political objective of increasing the share of GDP, which is applied for research and development, and in the light of this objective, there is great interest in compiling statistics on research and development. The main users are Ministries, public authorities, business organisations, researchers, private business enterprises and the media. In addition, the European Commission (The statistical office Eurostat) and the OECD are important users. Data are available for purposes of research., Read more about relevance, Accuracy and reliability, They are based on a complete census, of the expected research-active institutions, of approximately 650 public institutions, with a response rate close to 100 percent. The large dataset undergoes extensive validation, and except for a single question, the extent of imputation for missing values is relatively limited. Imputation may, for example, involve inserting calculated values from other institutions’ reports in place of missing information., Read more about accuracy and reliability, Timeliness and punctuality, National release is done 1 year after the end of the reference period. It is the aim to publish preliminary figures 1 year after the end of the reference period. Final figures are published 1 year after the preliminary figures. Transmission of data to Eurostat follows rules laid down in the relevant legal act. , Read more about timeliness and punctuality, Comparability, Comparable figures are available for 1997–2006, when the statistics were compiled by the Centre for Research Analysis, and from 2007 onwards. In the 2007 statistics, some changes were made to the accounting principles compared with earlier compilations, and between 2006 and 2007 a number of structural changes affected a large number of research institutions. This means that the data in the new survey are only partially comparable with previous surveys., 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 , Research and development, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-and-development-in-the-public-sector

Documentation of statistics

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

Traffic accidents

Road traffic accidents, Shows the number of traffic accidents, the number of people killed in traffic and the number of alcohol-related accidents., Traffic accidents involving trains and vessels, Shows the number of accidents causing injuries or fatalities where trains or vessels are involved.

https://www.dst.dk/en/Statistik/emner/transport/trafikulykker

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

Please note, a more current version of this classification is now available. See the current version , here., Name: , DDU_UDD_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 education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , 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), current educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd?id=49bd80c6-d825-4370-a7dd-91faeb39d93f

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

Name: , DDU_UDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system. All educations in DDU have a unique four-digit 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 ](https://www.statbank.dk/statbank5a/SelectVarVal/Define.asp?MainTable=UDDALL10&PLanguage=1&PXSId=0&wsid=cftree) - EUD34: [Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part ](https://www.statbank.dk/statbank5a/SelectVarVal/Define.asp?MainTable=EUD34&PLanguage=1&PXSId=0&wsid=cftree) - KVEU20: [Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit](https://www.statbank.dk/statbank5a/SelectVarVal/Define.asp?MainTable=KVEU20&PLanguage=1&PXSId=0&wsid=cftree), Valid from: , February 1, 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), current educations, v1:2023, December 1, 2023, January 31, 2026

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

News media and literature

News media and magazines, Shows the number of newspapers and readers, as well as news consumption., Literature, Shows the number of book publications in both fiction and non-fiction.

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/nyhedsmedier-og-litteratur

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Classification by sector in the Statistical Business Register (SBR), v1:2013

Please note, a more current version of this classification is now available. , Name: , ESR_SEKTOR_V1_2013 , Description: , ESR sectors is a statistical classification in Statistics Denmark’s Statistical Business Register, which, like , ESA2010 sectors, , is used to group institutional units with the same characteristics. Compared to ESA2010 sector codes, it is possible to group corporations with market activities between central government, regions, and municipalities., Valid from: , January 1, 2013 , Office: , Offentlige Finanser , Contact: , Helene Gjermansen, , hgj@dst.dk, , ph. +45 24 76 70 09 , Codes and categories , Open hierarchy, Download , CSV, DDI, VIR: Corporations and organisations, 11: Central government non-financial quasi-corporations, 12: Municipal non-financial quasi-corporations, 13: Regional non-financial quasi-corporations, 14: Non-financial corporations owned by central government, 15: Municipally owned non-financial corporations, 16: Regionally owned non-financial corporations, 18: Private non-financial corporations, 19: Foreign controlled non-financial corporations, 21: The central bank, 27: Public banks and mortgage credit institutions, 28: Private banks and mortgage credit institutions, 29: Foreign-controlled banks and mortgage credit institutions, 31: Public money market funds, 32: Private money market funds, 33: Foreign controlled money market funds, 37: Public investment funds, 38: Private investment funds, 39: Foreign controlled investment funds, 41: Other public financial intermediaries, except insurance companies and pension funds, 42: Other private financial intermediaries, except insurance companies and pension funds, 43: Other foreign controlled financial intermediaries, except insurance companies and pension funds, 47: Public financial auxiliaries, 48: Private financial auxiliaries, 49: Foreign-controlled financial auxiliaries, 51: Public captive financial entities, 52: Private captive financial entities, 53: Foreign controlled captive financial entities, 57: Public insurance companies, 58: Private insurance companies, 59: Foreign controlled insurance companies, 61: Public pension funds, 62: Private pension funds, 63: Foreign-controlled pension funds, 81: Personally owned companies, 83: Employees and others, 89: Non-profit institutions serving households, OFF: General Government, 71: Central government administration and service - integrated entities, 72: Central government administration and services - non-integrated entities, 74: Regional management and service - integrated entities, 75: Regional management and service - non-integrated entities, 76: Municipal management and service - integrated entities, 77: Municipal administration and services - non-integrated entities, 79: Social security funds, INT: International organizations, 91: Abroad - including international organizations, such as EU institutions and foreign embassies in Denmark, UOP: Unspecified, 99: Unspecified, All versions, Name, Valid from, Valid to, Classification by sector in the Statistical Business Register (SBR), v1:2013, January 1, 2013, Classification by function in the Statistical Business Register (SBR), v2:2007, January 1, 2007, December 31, 2012, Classification by function in the Statistical Business Register (SBR), v1:1994, January 1, 1994, December 31, 2006

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esr-sektor