External data can either be delivered personally at Statistics Denmark's reception or be sent by registered mail to Statistics Denmark on a physical medium

https://www.dst.dk/en/TilSalg/data-til-forskning/databestilling/tilknytning-af-eksterne-data

FIKS33: Purchases and sales (36 og 127-grouping)

industry (DB07), amount and time
2009M01-2026M02 (m DKK)

https://www.statbank.dk/FIKS33

Tables in StatBank

Thesis Scheme for Educational Institutions

Through Statistics Denmark’s Thesis Scheme, public educational institutions can give their students access to pseudonymized microdata for use in thesis projects. On this page, you can find guidance materials and read more about the Thesis Scheme., Thesis Scheme – Data Access for Thesis Projects, The Master's thesis scheme is one of Statistics Denmark's microdata schemes where Master's thesis students at public Danish educational institutions may be granted access to delimited pseudonymised microdata for Master's thesis projects. ., Note, : As a Master's thesis student, you may merely get access to pseudonymised microdata via the Master's thesis scheme provided your educational institution already has established a Master's thesis scheme. Reach out to your counselor to hear more about the possibility to access microdata through the Thesis Scheme in regards to your Masters Thesis. , Which Institutions Can Access the Thesis Scheme?, Educational institutions that offer master’s programs ending with a master’s thesis (typically 30–60 ECTS). The educational institution must be affiliated with a faculty, institute, or center under one of eight publicly recognized research universities in Denmark*., University of Copenhagen, including affiliated university hospitals such as Rigshospitalet., Aarhus University, including the AUH University Hospital in Skejby., University of Southern Denmark, including Odense University Hospital., Roskilde University., Aalborg University, including Aalborg University Hospital., Technical University of Denmark., Copenhagen Business School., IT University of Copenhagen., *If other institutions offering master’s programs in Denmark wish to establish an educational authorization, they can apply by sending a description of the institution and its needs to , danmarksdatavindue@dst.dk, ., Read more about , Rules for access to pseudonymized microdata under Statistics Denmark's thesis scheme (in Danish, pdf), ., How Does the Application Process for the Thesis Scheme Work?, In order to gain access to microdata under the Master's thesis scheme, you as an educational institution must first apply for an educational authorisation from Statistics Denmark. Reference is made to the current rules for authorisation (also look at the specific requirements to obtain an educational authorisation)., Statistics Denmark - Authorisation of Institutions, If you have questions about applying for educational authorization or need guidance, you are welcome to contact Denmark's Data Portal at , DDVautorisation@dst.dk, ., Please include "Regarding Statistics Denmark’s Thesis Scheme" in the subject line so that we can process your inquiry as quickly as possible., Which Data Does the Scheme Provide Access To?, Having obtained the educational authorisation, you apply Statistics Denmark for maximum of five broad projects with pseudonymised microdata, covering relevant themes in the Master's degree programme (see , Project proposal, and , Broad projects, )., Pseudonymised microdata is personal and business data where no identifying information such as identification numbers (e.g. CPR and CVR) are recognisable., Guidelines on Data Security and Agreements , Data confidentiality is a fundamental prerequisite for the existence of Statistics Denmark’s microdata schemes, including the Thesis Scheme. All datasets made available under the scheme are confidential. Therefore, as authorised educational institutions and users, you are obliged—through agreements with Statistics Denmark—to act in accordance with Statistics Denmark’s rules and guidelines. Below you will find the agreements and documents you are required to comply with., Statistics Denmark’s Information Security and Data Confidentiality Policy, Information security and data confidentiality policy – Statistics Denmark, Guidelines on Special Data Security Rules under the Master’s Thesis Scheme, The guidelines set out the rules and requirements that apply to Statistics Denmark’s Thesis Scheme. These rules constitute an adapted version of the general provisions that apply to all of Statistics Denmark’s microdata schemes. For the release of analysis results and in the event of breaches under the Thesis Scheme, the rules in these guidelines apply (in Danish)., Vejledning - Datasikkerhedsregler under Specialeordningen herunder regler for hjemtagning af analyseresultater og sanktioner ved databrud (pdf), Agreements, The Authorisation Agreement, Affiliation Agreement, and User Agreement must be signed and can be found , under the heading “Other agreements, documents, and guides (in Danish).”, Price, The fee for the Thesis Program is lower than for the other microdata schemes offered by Statistics Denmark. For more information, see the document above: 'Rules for Access to Pseudonymized Microdata under Statistics Denmark’s Thesis Scheme.', Questions about the Master's Thesis scheme?, As educational institution you may direct any questions about the Master's Thesis Scheme, its establishment, the process, prices, etc., at , danmarksdatavindue@dst.dk, Please write "Regarding Statistics Denmark's Master's Thesis Scheme" in the subject field.

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

Unemployment concepts

There are three different unemployment concepts – net unemployment, gross unemployment and LFS unemployment., Statistics Denmark regularly publishes two sets of unemployment statistics, which use different unemployment concepts and consequently result in different unemployment figures. The register-based unemployment statistics, which assess net unemployment and gross unemployment, and the interview-based Labour Force Survey (LFS), which assesses LFS unemployment. , Net unemployment covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and not in job activation. The numbers are converted into ‘full-time equivalent (FTE) unemployed persons’. , In addition to net unemployment, gross unemployment also covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and in job activation, including persons employed with wage subsidies, also converted into ‘FTE unemployed persons’. , LFS unemployment covers persons who indicate in the Labour Force Survey that they were not in employment during the week that the survey took place, , and, that they actively sought employment in the four weeks up to the week in which the survey took place, , and, that they were able to start a job within two weeks. , When to use which unemployment concept, In Denmark, gross unemployment is the most common unemployment concept used in the debate. Gross unemployment (and net unemployment, which is a subset hereof) gives monthly details on unemployment, e.g. at municipal level, broken down by age groups or by unemployment insurance funds. Moreover, gross unemployment is ideal for highlighting the extent of part-time unemployment and for linking with other register variables such as education and country of origin. LFS unemployment is mainly used in international comparisons of unemployment rates and trends in different countries. Furthermore, the LFS can show the extent of unemployed persons who are not entitled to unemployment benefits or cash benefits, or be used to assess the number of persons who want to find a job. , Overview of unemployment concepts, , LFS unemployment, Net unemployment , Gross unemployment, Based on, QUESTIONNAIRE, (figures from the Labour Force Survey), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), Is, sample-based questionnaire , survey with 72,000 interviews each year, register-based complete census, register-based complete census, Published, quarterly, monthly, monthly, Unemployed persons, Complies with the international ILO definition:, - are completely jobless and, - are available to take up employment and, - have carried out activities to seek employment, are registered as unemployed recipients of unemployment benefits or job-ready recipients of cash benefits, excl. those in activation, are registered as unemployed recipients of unemployment benefits, incl. those in activation, What is, counted, number of PERSONS, persons converted to FTE PERSONS, persons converted to FTE PERSONS, Time series, in Statbank Denmark , From 2008, From 1979, From 2007, Strengths, - useful in international comparisons, - shows also unemployed persons who are not entitled to unemployment benefits or cash benefits, - shows persons who want to get a job, - shows youth unemployment (15-24-year-old persons), - allows for supplementary questions, - a monthly flash unemployment indicator , - a long time series from 1979, - shows small groups of persons , - shows available hours, - shows breakdown by unemployment benefit funds , - linkage with other register variables, - a monthly flash unemployment indicator , - shows small groups of persons, - shows available hoursr, - shows breakdown by unemployment benefit funds, - linkage with other register variables, Weaknesses, - statistical uncertainty, - high uncertainty for small groups, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits, ,

https://www.dst.dk/en/Statistik/dokumentation/metode/ledighedsbegreber

Information security and data confidentiality

Strong protection of personal data is essential for the population and the corporate sector to trust Statistics Denmark. This fundamental relationship of trust is necessary for us to collect information for the official statistics, which is indispensable in an open democratic society. , Important documents, Data Confidentiality Policy at Statistics Denmark 2024 (pdf), Statistics Denmark's Information security policy 2026 (pdf), Accordingly, Statistics Denmark has extensive procedures and systems to protect the information on Danish citizens and enterprises in our systems, and we focus on continuously ensuring maximum data security. , Our measures are aimed at two types of risks; , external, , e.g. hackers, and , internal, , i.e. from our employees and from users with special permission to use data with us. , To protect against external parties gaining access to confidential information, we do the following:, We never store confidential information outside our security zone, and we use encrypted or secure lines when we retrieve or receive information., We use state-of-the-art IT security solutions and professional advisers., We continuously update our security solutions in accordance with good practice, including ISO 2700x and requirements from the Danish Agency for Digitisation and the Danish Centre for Cyber Security., We continuously maintain the competencies of our employees regarding IT security., Independent supervisors perform tests attempting to break our security. In this way, we are able to prevent security issues and immediately bridge any security gaps., To ensure that our employees and authorised users comply with the rules, we do the following:, We make sure that our employees know our rules on data confidentiality and information security, that all employees have signed a non-disclosure agreement and that non-compliance will have serious consequences in terms of employment., On a regular basis, we check that the employee has access to nothing but information that is strictly necessary for their tasks., We register (log) which data sets each employee uses. In 2015, we have extended the logging of searches in data, as directed by the Data Protection Agency in July 2014., External users, e.g. research scientists, must be approved and only have access to information where civil registration numbers (CPR nos) etc. have been replaced with serial numbers that do not allow you to identify people., When external users use Statistics Denmark’s data, we continuously log and check if they comply with data confidentiality requirements. Non-compliance may result in exclusion from using data in Statistics Denmark., , ISO 27001-certification, In 2023, Statistics Denmark has completed an ISO certification process and have been re-certified in accordance with ISO/IEC 27001:2022 by the international and independent certification body , DNV, . , The scope, i.e. the area that has been checked and ISO 27001 certified, is “IT and business processes in the statistics production, including data collection and the Danish Business Portal, in accordance with Statement of Applicability”. , With the ISO 27001 certification and the continuous audit reviews with accompanying audit reports (ISAE 3000 reports) in a number of different customer focused business areas, Statistics Denmark has external and independent documentation for a unique and systematic focus on data confidentiality and information security. , In this way, the certification and the audit reports reflect what characterises Statistics Denmark: a public organisation that lives, thinks and practises information security – every day without exception., About ISO 27001, ISO 27001 is an international management standard for information security, the purpose of which it is to e.g. set up systems for the protection of valuable information and personal data in a secure and reliable way. Among other things, ISO 27001 sets requirements to risk management, documentation of processes as well as the distribution of roles and responsibilities for information security. Furthermore, the purpose of ISO/IEC 27001 is to achieve efficient information security management as well as secure processes for continuous improvement. It means that the information security is constantly updated., Data confidentiality policy, Confidentiality in the handling of statistical products and other data materials is about protecting the statistical units against disclosure of information requiring confidentiality. This applies with respect to the surrounding world as well as Statistics Denmark’s employees., Rules to maintain data confidentiality are implemented in the data confidentiality policy with associated disclosure and statistical confidentiality guidelines as well as in the fixing of individual access rights to confidential information in Statistics Denmark., Data Confidentiality Policy at Statistics Denmark 2024 (pdf), Information security policy, Statistics Denmark's Information security policy 2026 (pdf), Privacy policy, In connection with your use of Statistics Denmark’s websites, we collect information about you. It is important to us that you feel safe using Statistics Denmark’s websites and for this purpose, we have prepared a Privacy policy., Privacy Policy, GDPR, In Statistics Denmark, we focus much attention on meeting the European General Data Protection Regulation (GDPR) and the Danish Data Protection Act, which supplements GDPR., Statistics Denmark’s compliance with GDPR (in Danish),

https://www.dst.dk/en/OmDS/kvalitet-og-styring/datasikkerhed-i-danmarks-statistik

Older documents

Follow this link to get access to , reports, documents and working papers of older date, ., Projects in collaboration with external institutions, Regarding economic effects on Denmark and Italy in connection with EU's enlargement. December 2001., Eastern enlargement of the EU: Economic costs and benefits for the EU present member states?, The case of Denmark, The case of Italy, Economic Working Papers, (ADAM and DREAM), The DREAM group moved to the ministry of finance in march 2002., 2001:6 [DREAM] , The Optimal Level of Progressivity in the Labor Income Tax in a Model with Competitive Markets and Idiosyncratic Uncertainty, Toke Ward Petersen, September 2001 , 2001:5 [DREAM] , Interest Rate Risk over the Life-Cycle: A General Equilibrium Approach, Toke Ward Petersen, September 2001 , , 2001:4 [DREAM] , Indivisible Labor and the Welfare Effects of Labor Income Tax Reform, Toke Ward Petersen, September 2001 , 2001:3 [DREAM] , General Equilibrium Tax Policy with Hyperbolic Consumers, Toke Ward Petersen, July 2001 , 2001:2 [ADAM] , Modelling private consumption in ADAM, Henrik Hansen, N. Arne Dam og Henrik C. Olesen, August 2001 , 2001:1 [DREAM] , Fiscal Sustainability and Generational Burden Sharing in Denmark, Svend Erik Hougaard Jensen, Ulrik Nødgaard og Lars Haagen Pedersen, Maj 2001 , , 2000:5 [DREAM], V, elfærdseffekter ved skattesænkninger i DREAM, Anders Due Madsen, December 2000 , , 2000:4 [DREAM] , Har vi råd til velfærdsstaten ?, Lars Haagen Pedersen og Peter Trier, December 2000 , , 2000:3 [ADAM] , Current Price Identities in Macroeconomic Models, Asger Olsen and Peter Rørmose Jensen, August 2000 , , 2000:2 [ADAM] , General Perfect Aggregation of Industries in Input-Output Models, Asger Olsen, August 2000 , , 2000:1 [ADAM-DREAM] , Langsigtsmultiplikatorer i ADAM og DREAM - en sammenlignende analyse, Lars Haagen Pedersen og Martin Rasmussen, Maj 2000 , , 1999:4 [ADAM] , Løn-pris spiraler og crowding out i makroøkonometriske modeller, Carl-Johan Dalgaard og Martin Rasmussen, December 1999 , , 1999:3 [DREAM] , Earned Income Tax Credit in a Disaggregated Labor Market with Minimum Wage Contracts, Lars Haagen Pedersen & Peter Stephensen, November 1999, En kortere version af papiret er publiceret i Harrison, Hougaard Jensen, Pedersen & Rutherford (ed.): , Using Dynamic General Equilibrium Models for Policy Analysis, , North-Holland 2000, , 1999:2 [ADAM] , Aggregation in Macroeconomic Models: An empirical Input-Output Approach, Asger Olsen, August 1999, Den endelige version er publiceret i , Economic Modelling, , 17:4 (2000) pp. 545-558 , , 1999:1 [ADAM] , Efterspørgslen efter produktionsfaktorer i Danmark, Thomas Thomsen, August 1999 , , 1998:6 [DREAM], A CGE Analysis of the Danish 1993 Tax Reform, Martin B. Knudsen, Lars Haagen Pedersen, Toke Ward Petersen, Peter Stephensen and Peter Trier, Oktober 1998, , 1998:5 [DREAM] , Wage Formation and Minimum Wage Contracts, Lars Haagen Pedersen, Nina Smith (CLS) and Peter Stephensen, April 1998 , , 1998:4 [DREAM] , An introduction to CGE-modelling and an illustrative application to Eastern European Integration with the EU, Toke Ward Petersen, September 1997 , , 1998:3 [DREAM], I, Introduktion til CGE-modeller, Toke Ward Petersen, Oktober 1997, En kortere version er publiceret i Nationaløkonomisk Tidskrift 135 (1997) pp. 113-134, , 1998:2 [ADAM] , Links between short- and long-run factor demand, Thomas Thomsen, December 1997, Den endelige version er publiceret i , Journal of Econometrics, , 97:1 (2000) pp. 1-23 , , 1998:1 [ADAM] , Faktorblokkens udviklingshistorie, 1991-1995, Thomas Thomsen, December 1997 , ,

https://www.dst.dk/en/Statistik/ADAM/Dokumentation/AndetDok