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Documentation of statistics: Registered unemployment

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Registered unemployment 2024 , Previous versions, Registered unemployment 2023, Registered unemployment 2022, Registered unemployment 2021, Registered unemployment 2020, Registered unemployment 2019, Registered unemployment 2018, Registered unemployment 2017, Registered unemployment 2016, Registered unemployment 2015, Registered unemployment 2014, The purpose is to produce statistics monitoring the structure and trends in the unemployed population and the causes of unemployment. The statistics are compiled on the basis of registers. The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. As from the publication of unemployment statistics for January 2010, attention is now focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. From the 12. of October 2022 and onwards the gross unemployment statistics are expanded with a monthly unemployment indicator published 10-12 days after the end of the reference month., Statistical presentation, The register based unemployment statistics (gross- and net-unemployed) provide monthly data on the unemployed population registered with the unemployment insurance funds and with the public job centres. The statistics comprise all unemployed persons insured against unemployment and non-insured persons who are available for work and at the same time claiming cash benefits under the Danish Social Assistance Act. The statistics are shown by municipality, sex, age group, type of benefit, unemployment insurance funds, country of origin and level of education. , Read more about statistical presentation, Statistical processing, All the data is collected from administrative registers. After receiving the data we make a data validation and a harmonization before entering the data into our oracle-database for further data processing, including an elimination of illegal 'overlapping' data. From the 12. of October 2022 and onwards we receive early register based information from the Danish labour market authority (STAR) to estimate an early unemployment indicator figure 10 to 12 days after the end of the reference month. , Read more about statistical processing, Relevance, Users: Municipalities, regions, ministries, job centers, organizations, international organizations, the media, private business enterprises, and private individuals., Fields of application: Public and private structural analyses and trade cycle surveys, educational purposes and public debate., There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, for instance by the media, has always been considerable., Read more about relevance, Accuracy and reliability, The statistics comprise all unemployed persons above 16 and until they reach their official retirement age. Only persons registered as recipients of unemployment benefits or social assistance/initial assistance are covered by the statistics. Persons who do not receive social assistance or unemployment benefits are thus excluded from the statistics on unemployment, although they are registered with the public job centres. It is impossible to give a single figure on the statistical accuracy, but apart from the circumstance that a person must receive unemployment benefits or social assistance in order to be registered as unemployed, the accuracy of the statistics is relatively high., From the 12. of October 2022 and onwards the gross unemployment statistics is expanded with a monthly unemployment indicator published 10-12 days after the end of the reference month. In a test period of 11 months the new indicator has estimated the following official gross unemployment total within 1.000 unemployed persons., Read more about accuracy and reliability, Timeliness and punctuality, The monthly unemployment indicator is published 10-12 days after the end of the reference month, the monthly unemployment statistics is published roughly 28 days after the end of the reference month, the quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact official release dates are always published a year ahead., Read more about timeliness and punctuality, Comparability, The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. To avoid a great number of discontinuities of the data series, the statistics have roughly speaking remained unchanged since 1979. However, the unemployment statistics have been adjusted as from the publication of unemployment figures for January 2008. The underlying primary data have been edited and changes have been made to the concept of unemployment, which imply that the Danish concept of net unemployment is now closer to the definition of unemployment applied by the International Labour Office, ILO, see item 3.1. All changes have been made back to April 2000. As from the publication of unemployment statistics for January 2010, attention is now also focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. When the register based unemployment statistics depends on a number of national administrative registers it is not a good statistics for international comparisons. For international comparisons of unemployment you ought to use the unemployment figures from the labour force surveys in the different countries instead., Read more about comparability, Accessibility and clarity, Monthly publications: Nyt fra Danmarks Statistik (News from Statistics Denmark) and Statistikbanken (Stat bank Denmark). Quarterly publications: Statistikbanken (Stat bank Denmark). Annual publications: Statistisk Tiårsoversigt (Statistical Ten-Year Review) and Statistikbanken (Stat bank Denmark). From the 12. of October 2022 and onwards the gross unemployment statistics will be expanded with an early monthly unemployment indicator published in Nyt fra Danmarks Statistik (News from Statistics Denmark) and Statistikbanken (Stat bank Denmark)., You find more information on: , Unemployment, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/registered-unemployment

Documentation of statistics

Revision and error policy

When a set of statistics is , revised, , an already published value or a figure is changed. This may happen e.g. because new and more reliable source data has become available, because of changes in methods, classifications and definitions or because of error corrections. Revisions are usually planned, and the users are notified in advance., Published statistics and other material must be quality assured when published, but , errors , may occur in figures or related text. When an error is detected, the users are informed, and the error is corrected as soon as possible., Revisions, Revisions are made in accordance with the ESS guidelines on revision policy for PEEIs (Principal European Economic Indicators). This means that revisions comply with harmonised procedures and principles and that revision practices for the individual sets of statistics are put down in writing and disseminated to the users of the statistics., The users are notified in advance of scheduled revisions. This is done in the documentation of statistics and sometimes on Statistics Denmark’s website, e.g. in the scheduled releases., Most revisions occur on a regular basis. This happens when sources required for a set of statistics are not fully available to meet the need for flash estimates. In such cases, , preliminary, statistics may be prepared on the basis of part of the sources to ensure timeliness. When the planned sources are available, the , final, figures are prepared. Macro-economic statistics follow the Harmonised European Revision Policy for Macroeconomic Statistics (HERP), which indicates at what intervals and how soon after the end of the reference period revisions can be made. Revisions thus take place in the statistical systems of all countries., When a set of statistics is seasonally adjusted, it will automatically result in revision of previously released seasonally-adjusted figures when a new period is added. This also happens, even though there are no changes in the historical non-seasonally-adjusted figures. , Some statistics must be consistent with statistics produced outside Statistics Den-mark. In some cases, there may be interim revisions that do not have an end date, and thus do not exist in an actual final form. This is the case with statistics such as the Emission Accounts. , Major revisions, are especially prevalent in macro-economic statistics that follow binding international guidelines (so-called manuals) and are based on a number of different primary statistics; which is the case for national accounts, government finances, balance of payments and working time accounts. An important quality of these sets of statistics is that they are intercorrelated and they describe the economic trend over many years. Since efforts are also made to ensure consistency between primary statistics and macro-statistics, there may be cases where new sources and methods are only partly incorporated in the primary statistics, or where the most user-friendly solution is for any level changes to await a major revision to ensure coherence between primary statistics and macro-statistics. , Another reason for making a major revision is the fact that new international guide-lines and assessment rules have been introduced, which imply major changes. To en-sure coherence between the various statistical systems, major revisions in the national accounts, government finances, balance of payments and working time accounts are carried out in accordance with a common schedule, of which users and stakeholders are notified as soon as possible. , The major revisions are carried out years apart and also change what is referred to above as final figures. For macro-economic statistics e.g., major revisions must be carried out every five years according HERP. , Statistics Denmark is continuously improving the statistical production to give the best possible account of the situation in society. For that reason, changes may occur in classifications, data sources and methods, where a revision of the statistics is deemed necessary, even though it is beyond both the regular revisions and major revisions. However, the users will always be notified of these changes., In connection with revisions, it must be ensured that:, Period and scope of the basis for revisions are determined and coordinated with the remaining statistical production., It appears from the documentation of statistics that regular revisions take place, and it is described when the statistics will be released in revised and fi-nal form. It also appears from the documentation of statistics if seasonal adjustments are made., For statistics that are subject to regular revisions, it appears from the news series “Nyt fra Danmarks Statistik” (in Danish only) and other publications when preliminary figures are concerned. , Analyses are made of the revisions to continuously improve the calculations of the preliminary figures. E.g. the size of revisions is examined and whether they are in a particular direction., The scope and any causes of revisions are described in both the documentation of statistics and “Nyt fra Danmarks Statistik”., Revisions are discussed with the users on a regular basis., In case of an unscheduled revision, changes will be described in the related documentation of statistics, and users will be notified, when this is deemed necessary., For some sets of statistics, Statbank Denmark has version tables showing the step by step changes in released figures., Errors, Errors in the released statistics may be caused by errors in data deliveries from external sources or reporting from enterprises, but they may also be caused by errors in Statistics Denmark’s data processing or dissemination., In both cases, Statistics Denmark will correct the error as soon as possible. We examine which releases, data, statistics and periods that are affected, what caused the error, and how it can be corrected. Once the error has been corrected, the users whom we know have used the release will be notified as soon as possible. In a few cases, it may be necessary to give notice of the error before it is corrected., Error corrections in figures or text will be marked and described in the following way:, Nyt fra Danmarks Statistik:, Corrections are made in the latest version., The error will be described, and the correction will be inserted in red., A date will indicate when the correction was made., Subscribers to the news series will receive an email describing the error., Statbank Denmark tables:, Tables in Statbank Denmark can be closed temporarily, if this is deemed nec-essary., All periods affected will be corrected as soon as possible – preferably on the same day as the error is found., The error will be described in the table footnote., An email is sent giving notice of the error to users who have a user profile in Statbank Denmark., Subject pages:, When data have been corrected in Statbank Denmark, the relevant subject page will also be updated., Publications, Statistics Denmark analyses, news articles:, Only the digital version will be changed (publications)., Only the latest version will be changed (publications)., The error will be described, and the correction will be inserted in red., A date indicates when the correction was made., Subscribers to the news series will receive an email describing the error., Press releases:, If there are errors in a press release, an estimate will always be made of the scope and timeliness of the error as well as whether important principal conclusions are affected by it. If it is deemed necessary, a new notification will be distributed from which it appears that a correction is concerned. The corrected version will be published via Ritzau., Facebook, Bluesky and LinkedIn:, Posts on Facebook, Bluesky and LinkedIn will not be deleted, instead the text in the post will be changed (Facebook and LinkedIn)., From the beginning of the post or thread, it will appear that it has been changed, and the reason for the change will be described (Facebook and LinkedIn)., If a wide-ranging error is concerned, a new tweet will be published (Bluesky).,  

https://www.dst.dk/en/OmDS/strategi-og-kvalitet/kvalitet-for-statistikproduktion/revisions-og-fejlpolitik

Historical national accounts

Tables of Historical National Accounts comprise two different types of National Accounts figures. Backcast figures which are consistent with the latest compilations, and obsolete published figures, which shed light on the available National Accounts figures for the observers, of bygone periods, of their contemporaneous economy. , Introduction, The most important descriptive tool of the macroeconomy of, say, Denmark is the current compilations of the National Accounts, henceforth abreviated as Statistics Denmarks current National Accounts., This page covers two different meanings of ”Historical National Accounts”:, backcast National Accounts figures, which are consistent the figures of the current National Accounts, but covers previous periods, and, obsolete published figures of the National Accounts, meaning figures which, for different reasons, partly or wholly are not consistent with the current National Accounts from Statistics Denmark., Why are both interesting?, Backcast National Accounts figures are interesting because, they extend the consistent description of the Danish economy backwards in Time, further than the current National Accounts figures go. These extended figures help us see the business cycles (the aggregate motion of the economy) over the longer term., Obsolete published figures of the National Accounts are interesting for those who would like to understand how observers were able to view the economy of their own times, e.g. from the 1950’ies and 1960’ies, of the 1940’ies and 1950’ies., What is the difference?, Very briefly differences are accounted for by three factors: compilation manuals, the division of labour in the organization of the World’s production, and the coverage of available statistics., From the first modern sets of National Accounts figures emerged in the 1930’ies and 1940’ies much research has been conducted and conceptual refinement has found their way into the international compilation manuals from organizations, like United Nations (UN) and the OECD. These changes of the basic manuals, changes in the organization and distribution of productive activities across national boundaries (e.g. the increasing globalisation of production) has changed details of even fundamental concepts like Gross Domestic Product (GDP; in Danish: bruttonationalproduktet, BNP)., Economic-political data requirements for a more precise description of the Danish economy’s structures and dynamics increased historically the means with which to provide important improvements in the systematic statistical coverage of areas such as business statistics and labour market statistics., These three factors combined changes the requirements of and the ability to provide a more precise description of the economy. For this reason the published figures of different compilation regimes, of overlapping years, are usually different even for the exact same years., To gather what is similar, and separate what is different, we har introduced the somewhat technical term ”National Accounts compilation regimes”, here anre elsewhere abreviated ”NA-regimes”, or ”compilation regimes”., Previously published figures and descriptions from the Danish National Accounts have revealed 19 different NA-regimes, from the first was published in December 1945, until the lastest, the current, which started in 2016., Introduction to key the concepts Gross Domestic Product (GDP; in Danish: bruttonationalprodukt, BNP), Gross National Income (GNI; in Danish: bruttonationalindkomst, BNI) and Gross Domestic  Product in factor prices (in Danish: bruttofaktorindkomst, BFI) may be found elsewhere on pages concerning the Danish National Accounts., Documentation, Published figures of the Danish National Accounts are divided into 19 separate, official compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, NR1945, Statistiske Efterretninger 1945:52, d. 14. december, Statistiske Meddelelser 4/129/5, 1948, NR1948, Statistiske Efterretninger 1948:25, d. 11. juni, NR1951, Statistiske Meddelelser 4/140/2, 1951, NR1955, Statistiske Meddelelser 4/160/2, 1955, NR1960, Statistisk oversigt 1948-1959, udgivet 1960, samt Statistisk årbog 1960, udgivet 1961, NR1962, Statistiske Undersøgelser 7, 1962, NR1965, Statistiske Efterretninger 1965:59, d. 15. dec., NR1972, Statistiske Efterretninger 1972:79, d. 20. dec., NR1978, Statistiske Efterretninger 1978:A20, d. 29. august,, Statistiske undersøgelser nr.30 og 31, 1973, NR1981, Statistiske Efterretninger 1981:A30, d. 22. september, ”National­regnskabsstatistik 1966-1981”, udgivet 1983, NR1984, Statistiske Efterretninger 1984:18, d. 23. december, ”National­regnskabsstatistik 1983”, udgivet 1985, NR1995, Statistiske Efterretninger 1995:12, d. 19. juni, ”National­regnskabsstatistik 1994”, udgivet 1996, NR1997, Statistiske Undersøgelser 46, 1997, NR2000, Statistiske Efterretninger 2000:03, d. 13. april, ”National­regnskabsstatistik 1999, Aprilversion”, udgivet juni 2000,, ”Nationalregnskab ENS95. Makroøkonomiske tidsrækker 1966-1997”, udgivet 2001., NR2005, Statistiske Efterretninger 2005:08, d. 26. juli”, ”National­regnskabsstatistik 2003”, udgivet september 2005, NR2009, Statistiske Efterretninger 2009:15, d. 09. nov., ”National­regnskab 2008”, udgivet januar 2010, NR2011, Statistiske Efterretninger 2011:11, d. 15. september, ”National­regnskab 2010”, udgivet februar 2012, NR2014, ”Nationalregnskab og offentlige finanser, ESA 2010, Hovedrevision 2014”, udgivet september 2014, Statistiske Efterretninger 2014:13, d. 22. december, NR2016, , det aktuelle, Statistiske Efterretninger 2016:11, d. 15. nov., In addition there is a half-official compilation regime:, Name of compilation regimes, Main release vehicle (-s), in Danish, BU1958, Kjeld Bjerke og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Kbh., 1958. Udsendt af Statistisk Departement sammen med Københavns Universitet, Økonomisk Institut., and some unofficial compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, SH1983, Svend Aage Hansen: , Økonomisk vækst, , bind II, Akademisk forlag, Kbh., 3.udg., 1983. Publikation nummer 6 fra Københavns Universitet, Institut for Økonomisk Historie., En meget anvendt kilde, med talrækker til 1818. Kan betragtes som en tilbageføring af NR1962, med en videreføring ved NR1965 og NR1972., SL2010, Larsen, Hans Kryger; Søren Larsen og Carl-Axel Nilsson: ”Landbrug og industri i Danmark 1896 -1965. Nye beregninger af bfi inden for de varefremstillende sektorer”, , Historisk Tidsskrift, , bind 110, nr.2, 2010. Siderne 358-401.  , Her anvendes alene tallene for 1947-1965, der skyldes Søren Larsen. En tidligere version af disse tal for 1947-1965 har været indarbejdet i visse af den økonomiske model ADAMs databanker, som tilbageføring af NR1984., Five main publications of obsolete sets of National Accounts figures, in addition to access to the figures of their tables: , Bjerke, Kjeld, og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Statistisk Departement og Københavns Universitets Økonomiske Institut, G.E.C Gads forlag, 1958. Due to unresolved intellectual property rights we are presently unable to provide this as a pdf-document., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1930-1946, , Statistiske Meddelelser 4. række, 129. bind, 5. hæfte, 1948., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1946-1949, , Statistiske Meddelelser 4. række, 140. bind, 2. hæfte, 1951., Statistisk Departement: , Nationalindkomsten 1938 og 1947-54, , Statistiske Meddelelser 4. række, 160. bind, 2. hæfte, 1955., Statistisk Departement: , Nationalregnskabsstatistik 1947-60, , Statistiske Undersøgelser nr.7, 1962., Zip-files with table contents as MS-Excel-spreadsheets, Tabelindhold - Studier over Danmarks nationalprodukt 1870-1950 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1930-1946 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1946-1949 (zip), Tabelindhold - Nationalindkomsten 1938 og 1947-54 (zip), Tabelindhold - Nationalregnskabsstatistik 1947-60 (zip),  , Key figures,   , Related content in Historical national accounts, Tables in Statbank , Scheduled releases , Contact, Michael Osterwald-Lenum, Phone: +45 20 57 01 29, Mail: , mol@dst.dk

https://www.dst.dk/en/Statistik/emner/oekonomi/nationalregnskab/historisk-nationalregnskab

Subject page

Quality in official statistics

Several factors characterise the quality of official statistics even if it is often accuracy that is focused on when talking about quality - that is, how precisely the statistics describe reality. For the users, however, it is also important that the statistics are relevant so that they describe the phenomenon the user is interested in. The statistics must also be timely enough for it to be a basis for decisions, and it must therefore not take too long before it is published. Time series that describe the development in an area and are comparable to similar developments in other countries are often important. For the users, the statistics must also be accessible – readily available, easy to locate and presented through formats that enable understanding.,  , What is official statistics?, Statistics contribute to decisions at all levels in Danish society being made on the basis of credible and objective information - everything from government policy and research to the actions of private companies and the everyday choices of individuals. A prerequisite for this, however, is that there are standards that ensure that the statistics are credible and objective. To address this issue, the concept of ‘Official Statistics’ has been introduced in the Act on Statistics Denmark. The act stipulates that statistics that are publicly produced and that meet a number of quality criteria can be called official statistics. For all public authorities that produce statistics, guidelines for official statistics have been prepared, which are described in more detail on the , Official Statistics Portal,  (in Danish only).,  , Common quality framework, European Statistics Code of Practice, The European Statistics Code of Practice is the cornerstone of the common framework for the quality of European Statistics. The Code of Practice consists of 16 principles covering institutional environment, statistical processes and statistical output. The Code of Practice was adopted in 2005 and revised in 2011 and 2017., The Code of Practice is designed to strengthen confidence in the European Statistical System and to ensure that all producers of official statistics in the EU apply the best international statistical principles and methods., European Statistics Code of Practice (pdf), In support of the Code of Practice, a Quality Assurance Framework has been developed. This supports the quality requirements and provides advice on methods, tools and practices that can be useful in implementing measures to be able to comply the Code of Practice., Quality Assurance Framework of the European Statistical System (pdf),  , UN’s Fundamental Principles, UN’s Fundamental Principles for Official statistics, Principle 1. Official statistics provide an indispensable element in the information system of a democratic society, serving the Government, the economy and the public with data about the economic, demographic, social and environmental situation. To this end, official statistics that meet the test of practical utility are to be compiled and made available on an impartial basis by official statistical agencies to honour citizens’ entitlement to public information. , Principle 2. To retain trust in official statistics, the statistical agencies need to decide according to strictly professional considerations, including scientific principles and professional ethics, on the methods and procedures for the collection, processing, storage and presentation of statistical data. , Principle 3. To facilitate a correct interpretation of the data, the statistical agencies are to present information according to scientific standards on the sources, methods and procedures of the statistics. , Principle 4. The statistical agencies are entitled to comment on erroneous interpretation and misuse of statistics., Principle 5. Data for statistical purposes may be drawn from all types of sources, be they statistical surveys or administrative records. Statistical agencies are to choose the source with regard to quality, timeliness, costs and the burden on respondents. , Principle 6. Individual data collected by statistical agencies for statistical compilation, whether they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes. , Principle 7. The laws, regulations and measures under which the statistical systems operate are to be made public. , Principle 8. Coordination among statistical agencies within countries is essential to achieve consistency and efficiency in the statistical system. , Principle 9. The use by statistical agencies in each country of international concepts, classifications and methods promotes the consistency and efficiency of statistical systems at all official levels. , Principle 10. Bilateral and multilateral cooperation in statistics contributes to the improvement of systems of official statistics in all countries.,  ,  , European quality evaluation – ESS peer review , Evaluations and reviews of Statistics Denmark, including international evaluations, are carried out at regular intervals, for example, ESS peer reviews. The purpose of peer reviews is to evaluate whether the EU Member States and EFTA-countries comply with the 16 basic principles of official statistics as set out in the Code of Conduct for European Statistics. In addition, coordination within the national statistical system as well as integration in relation to the ESS is evaluated., In the spring of 2022, Denmark was last assessed by a European expert team. The European team of experts, organized by Eurostat, made their assessment of the production of statistics through documentation and self-assessment. The expert team had dialogues with Statistics Denmark, other national producers of European statistics, the media and other users of European statistics as well as representatives of suppliers of data for statistical production. The other producers of European statistics that also were assessed were the Danish Energy Agency, the Danish Environmental Protection Agency and the Danish Immigration Service. As a result of the peer review, the expert team has delivered recommendations that can contribute to improving the quality of official statistics in Denmark., Peer review report 2022 (pdf), Follow-up on the European Peer Review 2022, In the spring of 2022, Statistics Denmark was last assessed by a team of European experts in a peer review. Following the peer review, a report is prepared with recommendations for improvements. Statistics Denmark has, in response to these recommendations, developed a series of improvement actions, which we will work to implement towards 2027. Our improvement actions can be found in the document below., The improvement actions were formulated at the end of 2022, but has not been published before November 2024, as a prolonged harmonization process in Eurostat has delayed the process. In some areas, this delay could result in processes being initiated that are not described in our improvement actions, or that some measures has lost their relevance and timeliness., Follow up on peer review - improvement action (pdf),  , Two rounds of peer reviews have previously been conducted - in 2007 and in 2015:, Peer review report 2015 (pdf), Peer review report 2007 (pdf),  ,  

https://www.dst.dk/en/OmDS/strategi-og-kvalitet/kvalitet-for-statistikproduktion/kvalitet-i-officiel-statistik

Documentation of statistics: Persons below the state pension age on public benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Persons below the state pension age on public benefits 2024 , Previous versions, Persons below the state pension age on public benefits 2022, Persons below the state pension age on public benefits 2020, Persons below the state pension age on public benefits 2019, People Receiving Public Benefits (16-64-years-old) 2018, People Receiving Public Benefits (16-64-years-old) 2017, People Receiving Public Benefits (16-64-years-old) 2015, People Receiving Public Benefits (16-64-years-old) 2014, The purpose of the statistics is to show trends in average/full-time participation in labour market policy measures. Based on a report prepared by the activation statistics committee (report no. 1259) the first statistics were compiled as from the first quarter of 1994. The reason for setting up the committee was that the Danish statistics at that time were unable to provide reliable data on the wide variety of municipal activation schemes. The committee's work was performed over the period December 1992 to October 1993. Since 1994 new measures have been introduced and others have ceased. As from the third quarter of 1999 the number of persons working in flex- and sheltered jobs are published concurrently with the labour market policy measures. Persons participating in activation according to the job integration act were included from the first quarter of 2000. As from the third quarter of 2003, and with effect in the publications as from the first quarter of 2004, a number of changes to the codes/names were undertaken due to a political reform that meant the introduction of new activation schemes, whereas other schemes ceased to exist. From 2007 the statistics is extended with persons on early retirement pay, sickness benefit, maternity leave and from 2008 it is extended furthermore with young people in ordinary education ('SU-modtagere')., Statistical presentation, The statistics provide data on trends in the average number of participants (beneath their state pension age) with public benefits, analyzed by labour market policy measure. The activities take place within the following main groups: Unemployed, persons in supported employment, leave, education/training, other activation, integration allowance, sickness benefit and different kinds of early retirement pay. The figure on average number of participants (full-time participants), is a volume measurement. The figures is comparable with the average number of full-time unemployed in the unemployment statistics., From June 2022 the statistics is extended to include persons receiving 'Early Pension", 'Senior Pension' and 'Adult apprenticeship support'. From March 2025 the statistics on sickness benefit recipients is changed to another data source., Read more about statistical presentation, Statistical processing, All data necessary for the statistics is collected from administrative registers. The data is collected through SAS-files and FTP-servers. When the data files are collected we make a preliminary validation of each file. Afterwards the data is loaded in the database (PSD) on a uniform format. After that illegal overlapping time periods where the same person is receiving different conflicting public benefits are eliminated before the total data amount is transmitted into a 'production database' from where the statistics is published., Read more about statistical processing, Relevance, 'Users': Municipalities, regions, ministries, organizations and the media. 'Fields of application': Public labour market surveillance. There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, media, has always been considerable, and the statistics is expected to be an important part of the future 'Labour market account' (AMR), which is going to be released in the spring 2015., Read more about relevance, Accuracy and reliability, All data necessary for the statistics is collected from administrative registers. The statistics cover the population aged 16-64 who is receiving some sort of public benefits. Conflicting and erroneous information about each individual person may frequently occur as the statistics are compiled from a variety of administrative registers. Examples are a person who is regarded as both a recipient of cash benefits and as a person entitled to claim unemployment benefits, or a person participating in several activation schemes at the same time, which exceed 37 hours per week, or a person participating in the same activation over an unrealistic long period of time. The main reason for these errors is that the respondents fail to update the existing data as soon as new data is available. Error correction is some times undertaken by Statistics Denmark on the basis of logical requirements and some times by the respondents themselves. However, the best possible solution is for error correction to be undertaken by the respondents themselves. The municipalities report data on persons entitled to claim cash benefits and similar allowances in various ways. Currently there is no estimates/numbers available on the total statistical errors., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact release dates are advertised a year ahead., Read more about timeliness and punctuality, Comparability, The current statistics on persons receiving public benefits covers in general the time period from the 1. of January 2007 and onwards. Persons receiving ordinary education (SU-modtagere) is only included from the 1. of January 2008 and onwards. From 2006 to 2007 there are some differences in the covering and in the concepts. However, some time series in the stat bank starts back in the first quarter of 1994. The general comparability is reduced by the many changes in the measures over time. When the statistics is based on a number of national administrative registers it is obviously very difficult to make any international comparisons. However, Eurostat has tried to make some international comparisons in the area of participants/expenditures on some sorts of public benefits through their Labour Market Policy (LMP)-database., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Persons below the state pension age on public benefits, . For more information please see the subject page for , Persons receiving public benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/persons-below-the-state-pension-age-on-public-benefits

Documentation of statistics

How to create a project proposal

On this page, you can get help for the creation and completion of a project proposal in Denmark’s Data Portal., Statistics Denmark reviews the individual project proposals and makes an assessment during the process and before the final approval as to whether the project meets the legal requirements. These requirements are about the documentation of data, that the data content is commensurate with the purpose of the project (data minimisation), and that the project is relevant to society (as specified in the General Data Protection Regulation). It is the data controller’s own responsibility that the approved project proposal reflects, makes a case for and documents all data that is associated with the project., How to create and complete a project in Denmark’s Data Portal, See the video guide on how to create a project proposal (in Danish), On your front page in Denmark’s Data Portal, you click ‘Data orders’ and then ‘Create project proposal’. Here you give the project a title, select the institution under which the project should be created, and indicate whether it belongs under the researcher scheme, project database scheme or authority scheme. , If you need help, you can contact an administrator in your institution., Project details, Here you enter the project description and, in doing so, you account for the purpose of the project, subject area of investigation, relevance to society and argue for the use of data. Below you will find hint questions and recommendations for each point as well as relevant appendixes and references., 1. Purpose, Describe the project’s overall purpose:, Hint questions:, What is the research project about generally?, What will the research project accomplish?, Recommendations:, Keep the purpose description short, precise and in non-professional terms., Formulate the purpose broadly so that it is possible to cover several relevant aspects of a topic and expand the project along the way with new data., Avoid repetition of matters that belong under project description or population., Pay attention to the coherence with the rest of the project proposal., Examples of purpose description, Here you can see examples of purpose descriptions that Research Services approve. Both narrow and broad purpose descriptions are accepted., The purpose is to shed light on factors that have or may have an impact on the development and treatment of atherosclerosis, and to assess how these factors interact in the development and treatment of atherosclerosis., The project aims to examine the historical and current development in the size and composition of the workforce., The purpose of the project is to examine citizens' use of public welfare services throughout the entire life cycle, i.e. from birth to grave., The research project seeks to shed light on fundamental questions in economics and financing regarding the operation and financing of companies., The purpose of the project is to examine the assessment, course and treatment in the Danish healthcare system with a view to identify where cross-sectoral implementation can improve, and where the work with evidence-based knowledge in daily clinical practice can optimize., The purpose of the project is to investigate how diet, smoking, alcohol and exercise factors (KRAM factors) relate to the degree of health deterioration, as well as the development of the incidence and prevalence of the KRAM factors in relation to the development of disease over time., 2. Description, Based on the purpose of the project, elaborate the background and conditions of the actual research project., Hint questions:, Which main hypothesis or which research topics are examined or attempted to answer?, What topics does the project address, and how are basic data and any external data included in relation to these topics?, Recommendations:, Make your argument on a topic level, such as ’immigration’, ’education’, ’criminal offences’ and ’income’ as well as ’diagnosis information’, ’pharmaceutical product data’ and ’rates’., The reasoning for external data should be described in the same way as basic data. , Describe which topics the project investigates so that the project can be adapted along the way and benefit from data across multiple areas.  , Pay attention to the coherence between the description and the other parts of the project proposal., 3. Relevance to society, Describe the relevance of the project to society in brief., Hint questions, What is the connection between the purpose of the project and its relevance to society?, How is the project relevant to all of society?, Recommendations:, Keep the description short and credible., Avoid repetitions from the other texts as well as text that does not concern this specific project., Examples of adequate project proposals (in Danish), Eksempel 1 - Analyse om fertilitet og graviditet, Eksempel 2 - Arbejdsmarkedstilslutning, Eksempel 3 - Hjertekarsygdomme i den danske befolkning, Eksempel 4 - Betydningen af at have en neurologisk sygdom, Project access, Here the administrator or a contact person with powers can add users to the project proposal, so that it is possible for these users to access data. The users must have been created in Denmark’s Data Portal and have an active user agreement with the authorised institution that is the data controller of the project., Data content , This is where you select registers and variables for the project proposal and descripe external data under 'Additional Datasources'. This is also where you describe the project population. , Read more under Population description, . Below you will find hint questions and recommendations for filling additional datasources., Additional datasources, Describe external data that is associated with the project proposal. , Hint questions:, What kind of data does the external data source collect , How does the external data support the project's purpose, Recommendations:, Classify external data by data source. For example, one additional data source could be data from the National Agency for IT and Learning (STIL). ,  Briefly and generally explain what the data will be used for, so that there is the possibility of expanding the project along the way with more data from the same data source. , Be aware that additional data sources must be included in the project description., Analysis platforms , If your authorised institution has a hosted server, you can choose to create the project here. Alternatively, you can always create the project on the Researcher server. , Read more under Analysis platform, Summary, Here you can see your complete project proposal and check that everything has been entered correctly. If you want to change something, you can go back and correct it before you submit your request. If you are an administrator for the institution under which the project belongs, you can submit the proposal directly to Statistics Denmark by clicking ‘Submit’. If not, you must send the proposal to one of the administrators in your institution by clicking ‘Submit to administrator’. , If you get your project proposal back for revision, it means that the project owner in Research Services has reviewed it and added comments that you must consider. You can re-submit the project proposal after editing. ,  , Specifically when creating subprojects on project databases and authority schemes, When you create a project proposal for a subproject, you must remember to select project database scheme/authority scheme. If by mistake you select the researcher scheme, the project proposal will not be created as a subproject. Unfortunately, it is not possible to change the scheme, and therefore you must create a new project proposal., The project proposal is completed in the same way as a project under the researcher scheme, but under ‘data content’, you must pay attention to the following:, Data that is to be transferred from the project database/authority scheme must be indicated under ‘Data from the Project database’ or ‘Data from Authority scheme’, Data to be added from Research Services must be indicated under ‘Data from Denmark’s Data Portal’.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/oprettelse-af-projektindstilling

Documentation of statistics: Labour Force Survey (LFS)

Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , DFG@dst.dk , Get documentation of statistics as pdf, Labour Force Survey (LFS) 2025 Quarter 2 , Previous versions, Labour Force Survey (LFS) 2025 Quarter 1, Labour Force Survey (LFS) 2024 Quarter 4, Labour Force Survey (LFS) 2024 Quarter 3, Labour Force Survey (LFS) 2024 Quarter 2, Labour Force Survey (LFS) 2024 Quarter 1, Labour Force Survey (LFS) 2023 Quarter 4, Labour Force Survey (LFS) 2023 Quarter 3, Labour Force Survey (LFS) 2023 Quarter 2, Labour Force Survey (LFS) 2023 Quarter 1, Labour Force Survey (LFS) 2022 Quarter 4, Labour Force Survey (LFS) 2022 Quarter 3, Labour Force Survey (LFS) 2022 Quarter 2, Labour Force Survey (LFS) 2022 Quarter 1, Labour Force Survey (LFS) 2021 Quarter 4, Labour Force Survey 2021 Quarter 3, Labour Force Survey 2021 Quarter 2, Labour Force Survey 2021 Quarter 1, Labour Force Survey 2020 Quarter 4, Labour Force Survey 2020 Quarter 3, Labour Force Survey 2020 Quarter 2, Labour Force Survey 2020 Quarter 1, Labour Force Survey 2019 Quarter 4, Labour Force Survey 2019 Quarter 3, Labour Force Survey 2019 Quarter 2, Labour Force Survey 2019 Quarter 1, Labour Force Survey 2018 Quarter 4, Labour Force Survey 2018 Quarter 3, Labour Force Survey 2018 Quarter 2, Labour Force Survey 2018 Quarter 1, Labour Force Survey 2017 Quarter 4, Labour Force Survey 2017 Quarter 3, Labour Force Survey 2017 Quarter 2, Labour Force Survey 2017 Quarter 1, Labour Force Survey 2016 Quarter 4, Labour Force Survey 2016 Quarter 3, Labour Force Survey 2016 Quarter 2, Labour Force Survey 2016 Quarter 1, Labour Force Survey 2015 Quarter 4, Labour Force Survey 2015 Quarter 3, Labour Force Survey 2015 Quarter 2, Labour Force Survey 2015 Quarter 1, Labour Force Survey 2014 Quarter 4, Labour Force Survey 2014 Quarter 3, The purpose of the Labour Force Survey (LFS) is giving a description of the labour market status of the population. The LFS gives insight into how many people are employed, unemployed or outside the labour force (economically inactive). The LFS also manages to measure information like how many people are working part time; how many hours men in their 30s or 40s usually work; or how many elderly people outside the labour market would like to have a job. The LFS has been conducted yearly since 1984, and from 1994 the survey has been conducted continuously throughout the year., Statistical presentation, The Labor Force Survey is a quarterly sample-based interview survey on the Danish population between 15 and 89 years. The survey sheds light on how many are employed, unemployed (LFS unemployed) or outside the labor force. The survey provides detailed data on e.g. hours worked, conditions of employment, job search, education by regions, age and sex. Consequently the survey can, among other things, estimate the number of employed people who work at home regularly; how many self-employed people who work during weekends; or how many people have have a part-time job. , Read more about statistical presentation, Statistical processing, The Labour Force Survey is the most comprehensive continuous survey in Denmark based on approx. 72,000 participants on an annual basis. The interviews are conducted by online interview or telephone. The survey is based on a stratified sample of the population. In drawing the sample administrative resources are used to obtain various background information on the people interviewed. The sample is weighted to measure the entire population in Denmark., Read more about statistical processing, Relevance, The Danish Labour Force Survey (LFS) is the contribution to the European LFS and data are delivered quarterly to the European Statistical office., Labour Force Surveys are carried out in every European country as well as in many other countries around the world following common concepts and guidelines. This makes the Labour Force Survey the best Danish survey for international comparisons on labour market statistics., Read more about relevance, Accuracy and reliability, The Labor Force Survey (LFS) has a relatively large sample and there are continuous improvements in enumeration methods. This provides reliable statistics for the population's connection to the labor market, although there is uncertainty linked to the selection of the sample and the structure of the non-response., In Q1 2016, the response rate was exceptionally low, creating greater uncertainty about the figures. Furthermore, web interview (CAWI) has been introduced as a new data collection method. The two factors created breaks in the time series. The breaks are corrected on the main series., Read more about accuracy and reliability, Timeliness and punctuality, The Labour Force Survey is published 1.5 months after the end of a reference period and usually without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Labor Force Survey (LFS) has been conducted since 1994 and tables can be found at StatBank Denmark from 1996 onwards. A new enumeration method has been introduced, where the sources only go back to 2008. The new series therefore only go back to 2008 in comparable form. LFS is made according to the same guidelines in all EU countries and several other countries and is therefore well suited for international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published quarterly and yearly in a Danish press release. In StatBank Denmark these statistics are published under the topic , Labour Force Survey (LFS), . For further information, see the , subject page, ., More detailed statistical data can be purchased via DST Consulting, see , customised statistics, ., It is also possible to access micro-data through , Statistics Denmark's Research Service, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-force-survey--lfs-

Documentation of statistics

Authorisation of institutions

Institutions must be authorised in order to get access to data under Statistics Denmark’s microdata schemes. This page has information on the possibilities of obtaining authorisation or client authorisation and on the application process., Apply for authorisation, To get access to pseudonymised data under Statistics Denmark’s microdata schemes, your institution must be authorised. To obtain authorisation, an institution must have a permanent research/analysis environment, which involves e.g. employing a head of staff and at least three experienced researchers/analysts. To apply for authorisation, you must complete the application form at the bottom of this page., Read more about our requirements to your institution and the application under ‘Types of institutions eligible for authorisation’ and ‘Requirements to application for authorisation’ below., Without authorisation – what are the options?, If your research/analysis environment is not eligible for authorisation, or if you do not want to be authorised, you have the following options:, You can get Statistics Denmark’s Consulting team to perform the analytical task for you. , See how you commission a task with Statistics Denmark Consulting, You can commission a private consultancy that is already authorised to make the analytical task for you. For this, you need a client authorisation. , Note: , This solution is only offered to public institutions and requires that the performing consultancy has access to the data you need, or that you are granted an exemption allowing the consultancy to get access. Find further information under ‘Requirements to application for client authorisation’ below., Apply for client authorisation, To be authorised as a client, you must complete the application form at the bottom of this page. Please note that there are special requirements to the completion of specific fields in the form. Look for guidance under ‘Requirements to application for client authorisation’., Types of institutions that can be authorised, The below environments located in the Danish Realm may be considered for authorisation, if these comply with the application criteria:, The user group is defined under the framework agreement between Statistics Denmark and Danish e-infrastructure Cooperation (DeiC): Publicly funded research and analysis environments (i.e. university departments, government research institutes, ministries, government agencies etc.) as well as charitable foundations in Denmark., In the private sector, the following Danish organisations are eligible for authorisation:, Interest organisations. In this case (and in the case of enterprises), it is relevant to look at the ownership, the staff (education) as well as the tasks solved for public customers in particular. It may be necessary to make inquiries with these customers to get an opinion., Consultancies. However, consultancies cannot get access to business data. The director general may grant an exemption to consultancies allowing them to gain access to business data when carrying out fact-finding or research on business data for a public authority or an interest organisation, provided that this happens with the authority or organisation as data controller., Other enterprises may be authorised but may not get access to data that includes business data., Specifically for Greenland and the Faeroe Islands, According to the General Data Protection Regulation, the Faroe Islands and Greenland are third countries, which is significant in terms of obtaining authorisation:, The Faeroe Islands has obtained an adequacy decision by the European Commission, which means they can be approved as a secure third country. Institutions and enterprises from the Faeroe Islands can thus obtain authorisation on an equal footing with those from Denmark., Greenland has not obtained an adequacy decision, which is why Greenlandic institutions must enter into transfer agreements to obtain authorisation. Until Greenland is approved as a safe third country, authorisation can only comprise public institutions., For both the Faroe Islands and Greenland, the authorised institution must obtain approval from the Danish Data Protection Agency if it wants access to sensitive data according to the Danish Data Protection Act., Requirements to application for authorisation, In order to be eligible for authorisation, your institution must have a high and sustained focus on data security. Statistics Denmark has determined four requirements that you must be able to meet:, In the research/analysis environment, there must be a personnel manager who accepts the responsibility for the authorisation and for overseeing that the rules in the authorisation agreement are kept. This includes continuously ensuring that all persons in need of access are familiar with the rules on access to data and the rules on transfer of results., As a minimum, there must be at least three people in the environment with specific experience in handling large data volumes and solid knowledge of our data security rules. Experience may have been gained, for example, through previous access to pseudonymised data under Statistics Denmark’s microdata schemes, or experience otherwise gained with the handling of register data., For private environments, the research/analysis environment must be at least one year old to be considered for authorisation., The environment must appear from the institution website., If you are a public institution, and your research/analysis environment does not meet the requirements, you can consider commissioning an already authorised private consultancy to solve the analytical task for you. For this, you need a client authorisation. Read more under ‘Requirements to application for client authorisation’., If you have questions about the application for authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for authorisation’ in the subject field., Requirements to application for client authorisation, To be considered for client authorisation, you must enter a cooperation agreement with a private consultancy that already holds an authorisation. In that case, the analytical task will be carried out at your/the client’s responsibility, but based on the specialised environment at the consultancy charged with the task., Client authorisations are only offered to public institutions and require that the authorisation of the consultancy charged with the task grants them access to all the data that you need. Please inquire with the consultancy if this is the case before you apply for a client authorisation., Note:, If you need business data with limited access, and the consultancy charged with the task does not have access to it, you can apply for an exemption on behalf of the consultancy. Read about applying for an exemption under, Access to business data, ., You cannot apply for an exemption until you have been client authorised., Guide to application for client authorisation, To apply for a client authorisation you must use the same form as for an application for authorisation (bottom of the page)., All fields in the form must be completed as specified, except for these six:, Under ’Name of institution’ you must add ’- Client authorisation’ , [Example: Agency for xxx - Client authorisation] , Under ‘Name of person responsible for authorisation (head of staff)’, you enter the name of the head of staff in your institution who is going to act as the person responsible for authorisation. For the person in question, this involves e.g. assigning roles in Denmark’s Data Portal and acting as data controller without any supervisory obligation. The supervisory obligation lies with the consultancy charged with the task. Read more about the division of roles under , User roles, ., Under ’Brief description of your research/analysis environment’, you must state the name and authorisation number (1-3 digits) of the consultancy charged with the task , [Example: Name of consultancy, 123], Under ’Number of researchers in your research/analysis environment’, you must enter ’0’, Under ’Number of people in the environment who have specific experience in handling register data/large volumes of data, you must enter ’0’, Under ’Link to the environment website’, you must enter your institution website., If you have questions about the application for client authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for client authorisation’ in the subject field., How Statistics Denmark assesses applications for authorisation and client authorisation, Assessment of application for authorisation, To assess whether you can be authorised, we make a specific assessment based on your research/analysis environment. In doing so, we focus on your competences in data management and your knowledge of the data security rules that apply for access under Statistics Denmark’s microdata schemes., All authorisations need approval from the director general of Statistics Denmark., If you are approved for authorisation, you must enter into a data processor agreement with Statistics Denmark., Assessment of application for client authorisation, To obtain a client authorisation, your research/analysis environment does not need to be assessed by Statistics Denmark. This is because your analytical tasks will be handled by an authorised consultancy., In the assessment of your application for a client authorisation, Statistics Denmark focuses on whether you are a public institution and whether you have appointed a head of staff as responsible for authorisation., If you are approved for a client authorisation, you must enter into a data processor agreement with Statistics Denmark., Other agreements, documents and guides (in Danish), Autorisationsaftale, Databehandleraftale (pdf), Tilknytningsaftale, Brugeraftale, Read about the rules on transfer of analysis results, Please refer to Statistics Denmark’s Data confidentiality policy and Information security policy, If you have questions about the application for authorisation or client authorisation, please contact , FSEautorisation@dst.dk, .

https://www.dst.dk/en/TilSalg/data-til-forskning/autorisering-af-institutioner

Social protection expenditure

How big is the expenditure on social benefits in Denmark? How is the distribution across old-age pensions, sickness benefits and housing benefits?

https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/sociale-udgifter

Subject page

User roles

The relevant employees in a research project must be created as users in Denmark’s Data Portal. You have different options when using Denmark’s Data Portal, depending on which user role your institution assigned to you. Below you can read which rights the different roles have. In Denmark’s Data Portal, you can see your role under ‘My overview’ next to your institution. If a specific role has not been indicated, you are a ‘User’., There are seven different roles in Denmark’s Data Portal:, Responsible for authorisation, Substitute, Administrator, Contact person with powers, Signatory, Contact person, User, Below you can read which rights the different roles have. You can also read more about how the roles are assigned.,  , What can the different roles do? , Responsible for authorisation, This role is responsible for the institution’s authorisation under microdata schemes with Statistics Denmark and approves association agreements under the authorisation. The person responsible for authorisation is legally responsible for the users associated with the institution complying with the current guidelines for use of data. This person is the only one who can assign the roles as substitute, administrator and signatory. See how under ’How to assign roles?’ below., Substitute, A user who can approve association agreements on behalf of the person responsible for authorisation. It is highly recommended that you appoint one or more substitutes. In the dropdown menu ‘Assigning roles’ below, you can read how to select substitutes in Denmark’s Data Portal. Note that the person responsible for authorisation cannot be his/her own substitute., Administrator, It is the institution administrator who must approve and submit all of the institution’s project proposals to Statistics Denmark via Denmark’s Data Portal. The administrator works as an internal approver, whenever a project proposal is to be submitted or resubmitted. The administrator is thus charged with quality assuring the content of the project proposals from the institution, making sure that the proposals meet requirements to form and GDPR. This means that an administrator should be available and is expected to be a regular user of Denmark’s Data Portal., The administrator must contact Research Services if the institution wishes to have a new user created. An institution must have at least one administrator, and we recommended that you appoint at least two administrators. This is because some tasks in Denmark’s Data Portal can only be carried out by an administrator, and because a given administrator is not allowed to administer him- or herself. It is possible to appoint up to 10 administrators in one institution., Contact person with power, An institution can choose that a contact person can have powers corresponding to those of an administrator on the projects for which the user is a contact person. If a contact person has powers, the role is delimited to the institutions that the user is associated with. If you - as the person responsible for authorisation - want this solution for a user, you must contact Research Services., Signatory, On behalf of the institution, persons with the signatory role can sign to pledge that a project proposal is conforming to Article 6 of the General Data Protection Regulation. , When your project proposal has been approved, an employee in Research Services will sign it. After that, the person who submitted the proposal, i.e. the contact person for the project, the administrator or the contact person with powers, as well as the chosen signatory will receive an email with information indicating that the project proposal has been approved and signed. Subsequently, you need to sign the project proposal. Only users who have been assigned the role of signatory can sign project proposals., The role as signatory is assigned by the person responsible for authorisation or a substitute. Remember that it is a requirement that people with a signatory role are formally employed by the institution where they have the signatory role. There is no limit on the number of signatories. , Contact person, A user with access to a project has the role as contact person for the project. The contact person has the dialogue with Research Services regarding the project proposal. A project can only have one contact person. Administrator can change the project contact person., User, This is the basic role for users. The role gives access to information on the entities with which the user is associated, and the user can edit his or her own information. When a user is associated with a project in Denmark’s Data Portal, he or she also gets access to the project data on the researcher machine. Contact an administrator or the person responsible for authorisation, if you want to be created as a user under an authorised institution., Project owner at Statistics Denmark, When you submit a project to us, we will assign a project owner in Research Services to you with whom you will have direct contact. We do our best to answer your enquiry as soon as possible. , See the average response times under Contact Research Services, Who can edit user information in Denmark’s Data Portal?, The individual user can update his or her own user information in Denmark’s Data Portal. This could be relevant, e.g. if a user changes workplace and therefore wants to update his or her email address., If an association agreement must be terminated, this must either be done by the user him- or herself, the institution administrator, the person responsible for authorisation or a substitute hereof. In our , video guides, , you can see the respective tasks and responsibilities of a user, an administrator and a person responsible for authorisation in Denmark’s Data Portal. , How to assign roles, The person responsible for authorisation at the institution is the only one who can assign the roles as substitute, administrator and signatory., To do so, you must as the person responsible for authorisation log into Denmark’s Data Portal and select ‘My overview’. Click the institution where you are responsible for authorisation, and then click the three dots to the right of the institution name. If you want to assign/discontinue the role as administrator, you must click ‘Administration of administrators’. If you want to assign/discontinue the role as substitute, you must click ‘Administration of substitutes’, etc. Now a list appears of all users associated with the institution. Click ’Select’ next to the user you want to make either a substitute, an administrator or a signatory., The administrators of the institution can create new association agreements for the institution and attach users to projects., See table of the rights of user roles in Denmark’s Data Portal (pdf, in Danish)

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/brugerroller