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Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform Denmark’s Data Portal. Research Services manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in Denmark’s Data Portal, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

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, educational 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 Educational authorisation, To gain access to the Master’s Thesis Scheme, an Educational Authorisation is required. In order to be approved your educational institution must be affiliated with a recognized public research university in Denmark that offers Master’s degree programs concluding with a Master’s thesis., In addition, your institution must maintain a strong and continuous focus on data security. Statistics Denmark has established three requirements that must be met:, 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 the above requirements can be met and you wish to create an Educational Authorisation, please include the following in the application form under "Kort beskrivelse af jeres forsknings-/analysemiljø":, “Educational Authorisation requested for educational institution with the following authorisation number at Statistics Denmark .”, For questions or if you wish to establish a shared Educational Authorisation for several educational institutions under the same faculty/department, please contact , FSEautorisation@dst.dk, . Include “Reg. application for Educational Authorisation” in the subject line., 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 performing consultancy can get access to the data 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, you can apply for an exemption on behalf of the consultancy. Read about the possibility of 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

User access

Here you can find information about access to Denmark’s Data Portal, which is the user platform for Statistics Denmark’s microdata schemes. You can also read about the assignment of user roles and about certification of users., Login to Denmark's Data Portal, See how you log into Denmark's Data Portal., Create association agreement for users, See how you request creation of users in Denmark's Data Portal. , User roles, Read about the different user roles and their rights., Certification of users, Read about certification of users in the data security rules.

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

Contact Research Services

You can contact Research Services by email or call during our opening hours. In the drop-down menu below, you can find contact information depending on the nature of your inquiry., IT-support for remote login, servers or other IT issues, If you need help with remote login, servers or other IT problems, you can contact IT-support., Phone: +45 39 17 38 00, Opening hours:, Monday-Thursday: 8:30-16:00, Friday: 8:30-15:30, Mail:, servicedesk@dst.dk, Research Services Support, If you have questions about Statistics Denmark’s microdata schemes, user access, or the process of ordering data via Denmark’s Data Portal, you can contact Research Services Support on weekdays. Please note that we do not transfer calls to individual staff members., Find answers to the most frequently asked questions about Denmark’s Data Portal here, Phone: +45 39 17 31 30, Opening hours:, Monday-Friday: 10:00-12:00, Research Services Support will be closed Monday, November 3rd through Tuesday, November 4th, and from Monday, December 22nd through Friday, January 2nd., Mail:, forskningsservice@dst.dk, Mails are answered within two working days., Error support for Denmark’s Data Portal, If you experience technical problems or errors in Denmark’s Data Portal (DDP), you can contact DDP-support., Mail:, ddvsupport@dst.dk, Inquiries about project proposal in Denmark’s Data Portal, If your inquiry is about a project proposal in Denmark’s Data Portal (DDP), you can contact the project owner at Statistics Denmark (SD). You can find the project owner in DDP under ’about the project’. If the project has not been assigned a SD project owner, you can contact Research Services Support., Read more about how to order data in Denmark’s Data Portal here , Inquiries about authorisations, If you have questions regarding applications for authorisation or client authorisation, please write to the mail below. , Mail:, fseautorisation@dst.dk, Read more about authorisation of institutions here, Inquiries about rules and data security, If you have questions regarding rules for working with microdata, including rules on transfer of analysis results and sanction rules, please write to the mail below., Mail:, fsehjemtag@dst.dk, Read more about rules and data security here, Inquiries about physical tokens, For inquiries regarding physical tokens, please write to the mail below., Mail:, les@dst.dk,  , Delivery times in Research Services, At Research Services, we process your inquiry/task as quickly as possible, and all inquiries/tasks are processed in the order they are received., The current delivery times are as follows:, From your first inquiry to the delivery of data, the average processing time is about 21 days., From contract signing/price approval to delivery, the average processing time is 12 days.,  ,  ,  

https://www.dst.dk/en/TilSalg/data-til-forskning/om-forskningsservice/kontakt-forskningsservice

The research machine

Users of the microdata schemes can choose to do their work on Statistics Denmark’s research machine – a server that can accommodate several separate projects. , Here you can find guides for set-up, login and use of Statistics Denmark’s research machine:, Connection to Researcher servers at DST - Windows users, Connection to Researcher servers at DST - Mac users, Connection to Research Servers at DST - Linux Users, How to change your password, How to reset your password, Connection to research servers at Statistics Denmark from abroad,  , Use of disk space by the projects, In the below overviews of disk space (in Danish), you can see how much space your research project has taken up on the research servers in recent years., Diskforbrug 2025, 1-2. kvartal, Diskforbrug 2024, Diskforbrug 2023, Diskforbrug 2022, Diskforbrug 2021, Diskforbrug 2020, Diskforbrug 2019, Diskforbrug 2018, Diskforbrug 2017, Diskforbrug 2016, Diskforbrug 2015, Diskforbrug 2014, Diskforbrug 2013, Diskforbrug 2012, Diskforbrug 2011, Diskforbrug 2010

https://www.dst.dk/en/TilSalg/data-til-forskning/analyseplatform/forskermaskinen

Possibilities for Nordic Cooperation on statistics on forced displacement

Joint effort to investigate possibilities for cooperation within the area of statistics on forced displacement, 4 October 2022 15:00 ,  , Last week, Nordic Statistical Organizations (NSOs) from Denmark, Norway and Sweden met with the UNHCR and representatives from the Refugee Councils in Denmark and Norway in the UN City in Copenhagen to investigate possibilities for cooperation within the area of statistics on forced displacement. The Ministry of Foreign Affairs from Denmark also presented their role vis a vis a potential Nordic collaboration on the subject. The parties shared information about priorities and discussed collaboration modalities for strengthened capacity on forced displacement and statelessness statistics. They also had a look into how experiences and technical capacities can be shared in the ambit of secure microdata sharing. All building on the strong statistical expertise and collaboration in the Nordic region., The result was a plan forward for how the NSOs can support the UNHCRs statistics- and data science-related ambitions for the coming years through sharing competencies via a roster, through improved national statistics on displaced persons and through the many existing international capacity-building programs, which the NSOs are implementing around the world.

https://www.dst.dk/en/consulting/news-from-international-consulting/2022/04-10-2022-Nordic-cooperation-on-statistics-on-displaced-persons

Water and wastewater

How much water do we abstract and use in Denmark? Which industries use the most water, and how much wastewater do households discharge?

https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/groent-nationalregnskab/vand-og-spildevand

Subject page

New Pricing Model

In 2026, Research Services at Statistics Denmark will introduce a new pricing model that will affect all users of Statistics Denmark’s microdata schemes – initially for new projects established in 2026., The pricing model in Denmark’s Data Portal is closely linked to the introduction of broader projects. The logic is to offer broad, long-term projects that can be used for several activities within a defined purpose. Therefore, the price will also be based on the fact that a large part consists of fixed annual costs throughout the project’s lifetime., With the possibility of access to broader projects, changes will be introduced in the new year regarding how data are ordered, as well as adjustments to the current pricing model in Research Services. In the new pricing model, we are introducing “Data Packages.” Each data package includes a set of registers belonging to a specific theme, which is expressed in the title of the data package. You can see an overview of the data packages and where the individual registers belong here (in Danish)., Datapakker (pdf), You will pay for the number of data packages you are approved for and for the number of project accesses associated with each project. These elements cover the costs related to data delivery. In addition, there will be charges for special services that are ordered (such as consultancy, external data, and possible population delineations). You can read more about the new pricing model here (in Danish)., Ny prismodel i Forskningsservice (pdf), The new pricing model will be implemented in two stages: on 1 January 2026 and 1 January 2027. All new projects from 1 January 2026 onwards will be under the new pricing model. Projects established before 2026 will transition to the new pricing model after 1 January 2027, at the time when the first new order is placed. You can read more about the transition arrangement here (in Danish)., Overgangsordning (pdf), If you are interested in learning more about the pricing structure and the components included in the new model (including the costs related to data delivery, services, and disk storage), you can read more here (in Danish)., Komponenter i prismodellen (pdf), The new pricing model will take effect for project databases and subprojects in 2027. Read more about how the new pricing model affects project databases., Projektdatabaser og den nye prismodel (pdf), If you have any questions, you are welcome to contact us at , FSENyPrismodel@dst.dk

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/prismodel

Data from other sources

Here you can get an overview of data from other sources than Statistics Denmark., COVID-19 test data and vaccination data from SSI (Statens Serum Institut), Statistics Denmark has entered into an agreement with SSI (Statens Serum Institut) on making COVID-19 test data and vaccination data available to researchers under Statistics Denmark’s microdata schemes., COVID-19 testdata, includes people who from February 2020 have taken a COVID-19 PCR test and/or antigen test (rapid test) with the microbiological departments, TestCenter Danmark, private COVID-19 test providers or municipalities, schools and educational institutions that can report to MiBa (test data for all test results) via various solutions and technical levels., COVID-19 vaccination data, includes citizens who have taken a COVID-19 vaccination, who have a Danish civil registration number, are alive and have an active address in Denmark on the date of the data extraction, as well as people who were alive and had an active address in Denmark on 27 December 2020 (vaccination data)., See SSI’s documentation for COVID-19 data, Denmark's Study Survey by the Ministry of Higher Education and Science, Statistics Denmark has entered into an agreement with the Ministry of Higher Education and Science on making survey data from Denmark’s Study Survey available to researchers under Statistics Denmark’s microdata schemes., Data will be released as register UFM_STUD for reference years 2018 and 2020 and subsequently every other uneven reference year., The variable content in the register is listed under , Register- og variabeloversigter, and described in more detail in the below documentation., Spørgeskemaer, Spørgeskema - Studerende 2023 (pdf), Spørgeskema - Studerende 2021 (pdf), Spørgeskema - Studerende 2020 (pdf), Spørgeskema - Studerende 2018 (pdf), Kodebog, Kodebog (xlxs), Metodenotater, Metodenotat - Studerende 2023 (pdf), Metodenotat - Studerende 2021 (pdf), Metodenotat - Studerende 2020 (pdf), Metodenotat - Studerende 2018 (pdf), Data from the Danish Health Data Authority, The Danish Health Data Authority's Research Service does not enter into agreements on data disclosure for projects at Statistics Denmark until Statistics Denmark has approved the project. , When you apply for disclosure of data from the Danish Health Data Authority for a new project with Statistics Denmark, the Health Data Authority’s Research Service must thus see the documentation showing that the project has been created and approved by Statistics Denmark. You can submit the documentation in the form of the approved project proposal that you receive as a pdf file from Statistics Denmark., You can create the project proposal with the Health Data Authority while waiting for approval of your project proposal from Statistics Denmark. Your application will be put on hold until the Health Data Authority has received an approved project proposal, but it is possible to make an agreement so that they continue the review process. However, you should be aware as a researcher that the Danish Health Data Authority will invoice you for the time they spend reviewing the case, and this also applies if Statistics Denmark does not approve the project., The trans-regional register for the Oresund region, In connection with the establishment of the Oresund statistics and the Oresund databank, a so-called trans-regional register has also been established linking all relocation, commuting and payroll data across the Oresund region in the period 2001-2015. This Research register was established in connection with the establishment of the ØRESTAT statistical bank for the Oresund region., The trans-regional register is structured as three separate datasets, which can be combined via a common serial number system., Dataset 1 contains relocation data for relocation across the Oresund strait., Dataset 2 is a corresponding commuting dataset, where the commuting is delimited by rules corresponding to those of the national commuting statistics, i.e. the main activity must take place on the other side of the Oresund strait., Dataset 3 includes everyone who has earned wages across Oresund, regardless if the person is categorised as a commuter., Note that the register is no longer being updated, and that the most recent data is from 2015., If you have enquiries about access to the register, please write to , forskningsservice@dst.dk, The DREAM database, The longitudinal database, DREAM, belongs to the Danish Ministry of Employment and is managed by The Danish Agency for Labour Market and Recruitment. The database contains employment information and other basic personal data, and the documentation below gives a more detailed description of it., Statistics Denmark has made an agreement with the Danish Agency for Labour Market and Recruitment on access to DREAM under the researcher scheme. Research projects that are to use data from Dream can gain access via Statistics Denmark Research Services., DREAM - Manual - Version 51, Handicnota, The HANDICNOTA register includes people who are dyslexic, visually impaired or have another disability that prevents them from reading regular printed text., Data has been obtained from NOTA (Danish Library and Expertise Centre for people with print disabilities). The register only has information about the disability reported to NOTA for each member, meaning either dyslexia, visual impairment or another disability. In addition to the three categories of disability, the register contains a fourth member group of teachers. This group needs to renew their NOTA membership each year as opposed to the other three member groups., The documentation of the register is available under , Forudsætninger for brug af HANDICNOTA, Aid package data from the Danish Business Authority, Since the end of May 2020, it has been possible to gain access to aid package data in the form of compensation for loss of earnings in Research Services’ databank of basic data., Two datasets on compensation for loss of earnings, The compensation for loss of earnings data are in two separate registers: LONKOMP - compensation for employees and KOMPSEL - compensation for self-employed persons., The data has been updated weekly in the databank of basic data upon reception of the aid package data from the Danish Business Authority. On 4 September 2021, data was released for the last week of the aid packages, which expired at the end of August 2021. In the subsequent weeks, data has been updated on a regular basis as the Danish Business Authority has completed its review of the applications. Weekly updates have continued up to and including week 18 in 2022, after which the deliveries from the Danish Business Authority are made occasionally and so are the present and future updates in the databank of basic data., A dataset on fixed costs, Data for the third aid package on fixed costs is available in the register KOMPFAST - compensation for fixed costs. This data has been available since the end of September 2021. Weekly updates have continued up to and including week 18 in 2022, after which the deliveries from the Danish Business Authority are made occasionally, which is reflected in the present and future updates in the databank of basic data., You can see the registers’ content of variables in our lists of research variables, , forskningsvariabellister, The rent register, Statistics Denmark has entered into an agreement with the National Building Fund on making the rent register available to authorised institutions under Statistics Denmark’s microdata schemes. The rent register was established in 2013 and is based on reports from the housing organisations in the non-profit sector., The rent register has information on for example:, The housing organisations, The housing departments, Social housing at tenancy level,  , Huslejeregister - Feltbeskrivelser (pdf), Regnskabsdata - Feltbeskrivelser (pdf), Stamdata - Feltbeskrivelser (pdf),  , If you have enquiries about access to data, please write to Sigrid Krogstrup Jensen, , SIJ@dst.dk, ., Account-specific data from the Tax Administration, Statistics Denmark has entered into an agreement with the Danish Tax Authority on making account-specific data from IRTE, URTE, PANT available to businesses and researchers under Statistics Denmark’s microdata schemes., This agreement is part of a research infrastructure project called DRDS, giving researchers access to a range of recent data. DRDS is a collaboration between Copenhagen Business School, Statistics Denmark, University of Copenhagen, Roskilde University, University of Southern Denmark, Aalborg University, National Centre for Social Research and Analysis, Danmarks Nationalbank, the Secretariat of the Economic Council, and the Rockwool Foundation Research Unit., Data contains information on:, Deposit rates (IRTE) for individuals IRTEPERS 2003-2021, Deposit rates (IRTE) for businesses IRTEVIRK 2003-2019, Lending rates (URTE) for individuals URTEPERS 2003-2021, Lending rates (URTE) for businesses URTEVIRK 2003-2019, Mortgages (PANT) for individuals PANTPERS 2003-2021, Mortgages (PANT) for businesses PANTVIRK 2003-2019, Data is described in more detail in the list of variables below, Variabelliste - IRTE URTE og PANT (pdf), The National Patient Register (LPR), Since 1977, the Danish Health Data Authority’s National Patient Register has functioned as the central registry for information about hospital patients. Statistics Denmark makes National Patient Register (LPR) data available to researchers. In Statistics Denmark, the LPR contains a multitude of particulars on examinations and treatments for all contact with the Danish hospital system, including hospitalisation and outpatient treatment., The reporting to the National Patient Register version 2 (LPR2) transitioned to a new data format (LPR3) between 1 January 2019 and 3 March 2019. The transition occurred gradually from LPR2 to LPR3, and therefore, there are reports in both LPR2 and LPR3 during this period. After 3 March 2019, reporting in LPR2 was closed, and all reports after that date are registered in LPR3., LPR2, Statistics Denmark has LPR2 data from 1977 to 2019., The LPR is a dynamic register that has been continuously updated – even retrospectively. Statistics Denmark has the updated versions of all LPR tables for the years 2005-2019., For hospital admissions to somatic departments, the register dates back to 1977. Emergency room and outpatient contacts have been registered since 1994. Hospital admissions to psychiatric departments have been registered since 1995. Hospital admissions to private hospitals have been registered since 2002., For documentation, see eSundhed.dk: , Documentation of LPR2 (in Danish), For information on data and data breaks (Data from other sources and data breaks in LPR2), see below:, Rates:, DRG and DAGS are not part of LPR, but can be linked to the individual admission and contact via the admission ID (recnum). Research Services has rates from 2002 to 2018., Non-finalised hospital admissions / out-patient contacts (UAF_):, The non-finalised outpatient admissions exist in the LPR that Statistics Denmark has available for the years 1994 onwards., LPR clean-up:, Up to and including 2009, The Danish Health Data Authority made an LPR clean-up, consisting in: , Sorting out all departments with special codes in the range 60-69, Sorting out all healthy companions, DZ763, Sorting out individual departments, for example departments with names such as ’Forskningsafdeling’ (research department)., Other data break, There may be other data breaks that we are unaware of., LPR3_F (researcher-oriented LPR3 data model), Statistics Denmark has LPR3_F data from the Danish Health Data Authority for the years 2019-2021, which can be ordered. The names of the registers begin with LPR_F_ and appear from the , register overview (in Danish), ., Please read , the Health Data Authority’s guide for LPR3_F (in Danish), , before you make a request for data., Medicine statistics register (Lægemiddelstatistikregisteret), Statistics Denmark has made an agreement with the Danish Health Data Authority on access to pharmaceutical products data under Statistics Denmark’s researcher scheme. For a more detailed description of the data content, see the , website of the Danish Health Data Authority, ., If you want access to pharmaceutical products data for your project at Statistics Denmark, you must apply to the Danish Health Data Authority for access. You apply via an online application form, and you must submit a project description, a description of the data extraction and a completed data order form., On the Research Services website, you will find , guidance on how to apply for access., ., When you apply for access to pharmaceutical products data, there are special requirements to the content of your application. On the Research Services website, you will find a , guide for applying for access to pharmaceutical products data, ., When you have the above in place, you can apply for access to data via Statistics Denmark using the application form (in Danish) at , Gå til ansøgningsskema, on the Research Services page., The Birth Register, The Birth Register holds information about all hospital and home births in Denmark and contributes with data for medical research., The Danish National Archives, Statistics Denmark has entered into an agreement with the Danish National Archives on making their data available to researchers via Denmark’s Data Portal., The National Archives collect data from the public administration and Danish research environments, and this data can be relevant for Danish register research, either because data is older than the official statistics registers or because data has a higher degree of detail. Access to data is governed by the Danish Archives Act, which is why there is a special application process for data from the Danish National Archives. This means that all researchers who are active on the project must have permission from the Danish National Archives. If data includes personal data, the National Archives must obtain consent for the permission from the Danish Data Protection Agency before the personal data may be disclosed. If data is less than 20 years old, the National Archives must also obtain consent for the permission from the authority that originally collected the data., The multi-generation register – Lite, The multi-generation register – Lite (MGR-lite) contains family relations for all Danish citizens born around 1953 or later. This means that it contains family relations from 7 years prior to those of the Civil Registration System (CPR). Until 1978, the Civil Registration System deleted information on family relations when an individual turned 18 years, but the National Archives have maintained snapshots of the Civil Registration System from e.g. 1968, 1969 and 2013, which in MGR-lite have been used to recreate family relations back to 1953., If you need data from MGR-lite for a research project, note that all participants in the project must obtain permission from the Danish National Archives, and that the National Archives must obtain consent from the Danish Data Protection Agency and the CPR registry, before data may be disclosed for the research project. Accordingly, you should expect a processing time of at least 1-3 months., You can apply for access to data from MGR-lite via Denmark’s Data Portal., Read more about access to data in Denmark’s Data Portal, You can find more information on MGR-lite at the Danish National Archives (in Danish), Contact , Researcher Service at the National Archives, if you have further questions., Ordering data from the Danish National Archives via Denmark’s Data Portal, It is possible to request data from the National Archives via Denmark’s Data Portal. In addition to Statistics Denmark, the National Archives must also approve the project proposal, which is why there is a different procedure for project proposals where this data has been opted for. Please note that this may increase the processing time by 1-3 months., Basic principles for requesting data from the Danish National Archives, Data relevance and data minimisation, The statement of the purpose of data must be specific, precise and easy-to-understand., The combination of register units and types of populations must be justified., Additional data must also be covered in terms of relevance to society/purpose/description., The proposal must constitute the project overview, while the appendix holds the details, It must be possible to read the proposal and the appendix both separately and as coherent documentation of a project., The proposal is also sent to the Danish National Archives for approval, This means that the institution administrator or contact person with powers will be asked to enter the following information for each researcher associated with the project. Civil registration number, address, city and postal code., Requesting data from the National Archives, Complete the project proposal in Denmark’s Data Portal:, Start by filling in the purpose of the project proposal, description and relevance to society. Data from the National Archives is selected in the same way as data from other registers., Adding the Danish National Archives as an external authorising authority:, When Research Services has approved the project proposal, the institution administrator or contact person with powers must send it to the National Archives for further approval. This is done from the project proposal page by selecting the button ‘Submit to external authority’., Enter necessary information for the Danish National Archives:, When the project proposal is to be submitted to the National Archives, the institution administrator or contact person with powers will be asked to enter the following information for each researcher associated with the project: Civil registration number, address, city and postal code. This must be done for all researchers all at once. This information is necessary, as the National Archives have their separate principles and requirements. This information is not saved in Denmark’s Data Portal for GDPR reasons. If you break off while entering information, you will thus need to enter the information again., Await approval from the National Archives:, After the project proposal has been submitted to the National Archives, its status will be ‘Pending external authority’ in Denmark’s Data Portal. The National Archives will review the project proposal and send you either an approval or a rejection via e-boks., Handling of approval:, When a researcher receives approval in e-boks, he or she also receives a document that must be signed before the data can be delivered. Note that all researchers associated with the project must sign., When each researcher has received and signed the approval, an administrator or contact person with powers must mark this in the project proposal. This is done by clicking ’…’ at the top of the project proposal page. Pay attention to the fact that all researchers must be marked all at once when they have signed the approval., After this, the project proposal can be sent for signature with the signatory of the institution. When all researchers have been marked as approved and ‘Send for signature’ has been selected in the dialogue box, the status of the project changes from ‘Submitted to external authority’ to ‘Approved by external authority’. Now the institution’s signatory can sign the document, and the project is approved. The Danish National Archives and Statistics Denmark will provide data for the project., If the institution’s signatory refuses to sign, the project proposal is returned and the process must be repeated., Handling rejections, If a project receives a negative response, there are three options:, Remove the project access for the researcher(s) who received a negative response. Access the project page and remove the researchers who have received a negative response. When the researchers are removed, an email will be sent from Denmark’s Data Portal to the National Archives notifying them that the researchers are removed from the project. Subsequently, the National Archives will be able to assign data to the project., Withdraw the project proposal if it could not obtain approval from the National Archives. When the project proposal has status as ‘Submitted to external authority’, administrator and contact person have an option to “withdraw” it. In that case, the project proposal will get a new status ‘Pending revision’. When the project proposal has status as ‘Submitted to external authority’ and it is withdrawn, Denmark’s Data Portal will send an email to the National Archives notifying them that the project proposal has been withdrawn. Revise the original project proposal and resubmit it for approval. It is important to note that the project proposal also must be re-approved by Statistics Denmark., Withdraw the project proposal, remove the National Archives register and resubmit the project proposal for approval., In this scenario, only Statistics Denmark has to re-approve., Adding new users to the project after creation, To add a new user after both Statistics Denmark and the National Archives have approved the project, the institution administrator or contact person with powers must go to ‘Project access’, click ‘Add’ and select the person to be added. A window is opened where the researcher’s civil registration number, address, city and postal code must be entered. When the researcher has received approval in e-boks, the institution administrator or contact person with powers can give access to the project. This is done by selecting ’…’ next to the project access and then select ’Confirm approval from external authority’., National Agency for IT and Learning (STIL), Statistics Denmark has made an agreement with the National Agency for IT and Learning (STIL) on access to central registers from the STIL statistical resources under Statistics Denmark’s microdata schemes. Research projects that are to use data from the comprehensive STIL registers can gain access via Statistics Denmark Research Services., Elevfravær i grundskolen, contains information about the number of days pupils in primary and lower secondary school are absent due to illness, absent with permission and absent without permission on a monthly basis., Den nationale trivselsmåling i grundskolen for 0.-3. klasse, contains replies to questions from the question frame for pupils in primary school, which is part of the national survey of the well-being of schoolchildren., Den nationale trivselsmåling i grundskolen for 4.-9. klasse, contains replies to questions from the question frame for pupils in secondary school, which is part of the national survey of the well-being of schoolchildren. It also contains calculated indicators for social well-being, academic satisfaction, support and inspiration as well as their satisfaction with school in general., Nationale test i grundskolen (recalculated results 2014/2015 – 2021/2022), contains test results from the mandatory national adaptive tests of proficiency levels in primary and lower secondary school. For the school years 2020/2021 and 2021/2022, the tests have been adjusted so that only a combined test result is calculated per test. The results for the period 2014/2015 – 2019/2020 have been recalculated to the same scale as the one used in 2020/2021 and 2021/2022., Nationale test i grundskolen (original results 2009/2010 - 2019/2020), contains the originally calculated test results (before the recalculation in 2020/2021) from the mandatory adaptive national tests, including a test result in each of the three profile areas that each test features. , Folkeskolens Nationale Overgangstest, contains test results from the linear transition tests that replaced the national tests as of 2022/2023. Data is updated annually up to and including 2025/2026. , Kompetencedækning i grundskolen, contains information about teachers, the subjects they teach – including whether they have main subject competence in the subject – and about the classes where they are teaching the subjects., Karakterer i grundskolen, contains the test marks and general proficiency marks of pupils in primary and lower secondary school., You can find the data documentation for each register at the , Ministry of children and education, ., Contact , forskerdata@stil.dk, if you have questions regarding data that are not answered in the data documentation., Data on The Danish students Grants and Loans scheme (SU) from the Ministry of Higher Education and Science, Statistics Denmark has entered into an agreement with the Ministry of Higher Education and Science on making The Danish students Grants and Loans scheme (SU) data available to researchers under Statistics Denmark’s microdata schemes., Data will be published as the basic register UFM_SU for reference years 1991 onwards., The variable content in the register is listed in , Register- og variabeloversigter, and described in more detail in the below documentation:, SU-tildeling 1991 og frem, UDD-koder, The future study by the Senior Citizen Organisation (Ældre Sagen), Statistics Denmark has entered into an agreement with the Senior Citizen Organisation (Ældre Sagen) on making survey data from the future study available to researchers under Statistics Denmark’s microdata schemes., Data will be published as the register FREMTIDSSTUDIET. It is a survey of the lives, expectations and desires for the future of 50-89-year-old citizens for the reference years 2010, 2015, and 2021, and subsequently every fifth reference year., In our , register overview (in Danish), , you can see the content of variables in the register. It is described in more detail in the documentation below., The presentation of 2021 data contains background variables bought-in by the senior citizen organisation (Ældre Sagen) in connection with completion of the future study (as of 1 October 2021). The variables pertain to sex, age, highest educational attainment level, socio-economic status, equivalent disposable income for the family, ancestry, municipality and the composition of the family calculated in DST Survey., The bought-in background variables are presented in the register FREMTIDSSTUDIET as at the time of the study in 2021 and are not changed, even though corrections are being made retrospectively in Research Services’ basic data for the affected areas. Updated background variables thus require further bought-in variables from Research Services., On the future study, The future study is a longitudinal study, the purpose of which it is to draw a picture of the present and future lives of elderly citizens and their life situation in general – including their desires, needs, expectations and worries about the future., The study from 2021 is based on answers from 4,990 Danish citizens aged 50 to 89 years to questions revolving around: quality of life, age, health, accommodation, transport, social network, help in everyday life, financial help, loneliness, home care, dignity, welfare and society, volunteering, the labour market, financial circumstances, inheritance, age discrimination and technology., The future study has previously been completed in 2010 and 2015. Data for the future study was collected all three years by Statistics Denmark via online questionnaires and telephone., With the future study, it is possible to examine:, Differences in 2021: How did citizens aged 50 to 89 answer in 2021, and are there differences in the replies of men and women and different age groups?, Generational differences: How did for example 50-54-year-old citizens answer in 2021 compared with 50-54-year-old citizens in 2010 and 2015?, Changes over time for the same people: What did people who participated in 2010 and 2015 answer, now that they have become older?, While the sample of the future study back in 2010 consisted of the four age brackets: 50-54 years, 60-64 years, 70-74 years and 80-84 years, the sample in 2021, just as in 2015, covers all eight five-year age brackets from 50-89 years., The majority of the questions from the future studies 2010 and 2015 recur in 2021. At the same time, questions and answer options have continuously been adjusted to match the social development, and some questions from earlier studies have been excluded, while others have been added. For that reason, it is not possible to compare all questions over time., Read more about the future study and the method behind the documentation below or at , Ældre Sagen, ., Survey, Bilag 1_FTS2010_survey, Bilag 2_FTS2015_survey, Bilag 3_FTS2021_survey, Code book, Bilag 4_FTS2010_kodebog, Bilag 5_FTS2015_kodebog, Bilag 6_FTS2021_kodebog, Method records, population and sample overviews, Bilag 7_FTS2010_metodedokumentation, (inkl stik_pop), Bilag 8_FTS2015_metodedokumentation, Bilag 9_FST2021_metodedokumentation, Bilag 10_FTS2015_populationsoversigt, Bilag 11_FTS2021_populationsoversigt, Bilag 12_FTS2015_stikprøveoversigt, Bilag 13_FST2021_stikprøveoversigt, Note: There is no separate population and sample overview for 2010. It is part of the actual method documentation., Further documentation (also available at the Ældre Sagen website), Bilag 14_FTS2021_temaoversigt_survey, Bilag 15_FTS2010_2015_2021_dataark, Bilag 16_FTS2010_2015_2021_surveyoversigt

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The extensive statistical material that we possess allows us to offer a range of solutions for individual customers for a fee. The solutions typically differ from our official statistics by being more detailed and contain other combinations of data than what has been published., Data for research, We give access to micro data to authorised research institutions, ie. data at the individual and company level., Standardised solutions, The extensive statistical material that we possess allows us to offer a range of solutions for individual customers for a fee., Customized solutions, When the customer's needs cannot be met by StatBank Denmark or a predefined standardised solution., Surveys, We perform surveys relevant for the society covering both individuals and companies., Economic model ADAM, ADAM - Annual Danish Aggregate Model - is a macroeconometric model that gives a simplified mathematical description of the Danish Economy.

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