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Data Access 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 Thesis Scheme is the newest addition to Statistics Denmark’s microdata scheme. The scheme allows approved public educational institutions in Denmark to grant thesis students access to pseudonymized microdata for use in thesis projects. To gain access, , the thesis project must have a research-level focus, ., Note, : If you, as a student, wish to access pseudonymized microdata for your thesis project, please contact your educational institution to learn about the available options., 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 , Forskningsservice@dst.dk, ., How Does the Application Process for the Thesis Scheme Work?, To gain access to microdata under the Thesis Scheme, the educational institution must have an educational authorization with Statistics Denmark., Reference is made to the current rules for authorization, and the institution must be one of the educational institutions listed above to obtain an educational authorization., Statistics Denmark - Authorisation of Institutions, If you have questions about applying for educational authorization or need guidance, you are welcome to contact Research Service at , FSEautorisation@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?, The program provides access to pseudonymized microdata under the same conditions as the researcher scheme within Statistics Denmark’s microdata schemes, except that each educational authorization may create a maximum of five broad projects., Pseudonymized microdata are personal and business data where all identifying information, such as names, identification numbers (e.g., CPR and CVR), and addresses, have been removed., 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 below: "Rules for Access to Pseudonymized Microdata under Statistics Denmark’s Thesis Scheme.", Rules for Access to Pseudonymised Microdata under Statistics Denmark’s Thesis Scheme, Special rules apply for access to pseudonymised microdata under Statistics Denmark’s Thesis Scheme. Please read more about these in the document below (in Danish)., Regler for adgang til pseudonymiserede mikrodata under Danmarks Statistiks specialeordning (pdf), 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).”, Questions about the Program?, If your educational institution has questions about the program, its setup, the process, fees, etc., you can direct them to Research Service. Please include ", Regarding Statistics Denmark’s Thesis Program, " in the subject line.

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

Contact: National Accounts

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Henrik Sejerbo Sørensen , +45 61 46 44 06, hss@dst.dk, Head of Division, Head of Division, Ingeborg Vind , +45 24 83 51 49, inv@dst.dk, Executive chief consultant, Executive chief consultant, Maria Nilsson , +45 61 50 49 65, mnn@dst.dk, Annual National Accounts, Chief Adviser, Chief Adviser, Martin Birger Larsen , +45 61 15 15 43, mbl@dst.dk, Chief Adviser, Chief Adviser, Brian Südel , +45 21 83 60 64, bsu@dst.dk, Chief Adviser, Chief Adviser, Annette Thomsen , +45 22 16 62 51, ath@dst.dk, Senior Adviser, Senior Adviser, Christina Just Brandstrup , +45 21 45 52 79, cjb@dst.dk, Senior Adviser, Senior Adviser, Martin Brandstrup , +45 23 80 57 50, brn@dst.dk, Senior Adviser, Senior Adviser, Ralph Bøge Jensen , +45 21 33 67 84, rbj@dst.dk, Head of Section, Head of Section, Mercedes Sophie Louise Bech , +45 51 53 61 56, mcb@dst.dk, Head of Section, Head of Section, Magnus Børre Eriksen , +45 29 12 27 56, mbe@dst.dk, Head of Section, Head of Section, Tetiana Melnyk , +45 21 83 36 07, tvm@dst.dk, Head of Section, Head of Section, Jonas Johansen Næsby , +45 29 44 68 24, jjn@dst.dk, Head of Section, Head of Section, Ina Drabsch Rasmussen , +45 21 34 45 24, idr@dst.dk, Economic Models, Chief Adviser, Chief Adviser, Tony Maarsleth Kristensen , +45 40 20 47 89, tmk@dst.dk, Chief Adviser, Chief Adviser, Jes Asger Olsen , +45 24 26 54 49, jao@dst.dk, Chief Adviser, Chief Adviser, Michael Osterwald-Lenum , +45 20 57 01 29, mol@dst.dk, Chief Adviser, Chief Adviser, Karen Skriver Lauger , +45 51 49 86 87, ksl@dst.dk, Senior Adviser, Senior Adviser, Dawit Sisay Temere , +45 24 92 95 89, dsi@dst.dk, Green national accounts, Chief Adviser, Chief Adviser, Peter Rørmose Jensen , +45 40 13 51 26, prj@dst.dk, Chief Adviser, Chief Adviser, Ole Gravgård Pedersen , +45 30 89 28 39, ogp@dst.dk, Senior Adviser, Senior Adviser, Asger Andersen , +45 24 75 24 15, asa@dst.dk, Senior Adviser, Senior Adviser, Thomas Eisler , +45 20 56 92 83, tme@dst.dk, Senior Adviser, Senior Adviser, Leif Hoffmann , +45 23 69 58 63, lhf@dst.dk, Head of Section, Head of Section, Maria Skytte Christiansen , +45 24 25 42 07, mcr@dst.dk, Head of Section, Head of Section, Michael Berg Rasmussen , +45 51 46 23 15, mbr@dst.dk, Head of Section, Head of Section, Jonas Foged Svendsen , +45 21 34 73 19, jfs@dst.dk, Head of Section, Head of Section, Michael Zörner , +45 24 41 73 66, miz@dst.dk, Input data, Publication and Administration, Senior Head Clerk, Senior Head Clerk, Mette Ferslev , +45 24 79 33 96, mfe@dst.dk, Senior Head Clerk, Senior Head Clerk, Nadiia Mamikonian , +45 40 16 89 17, ndm@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Siemsen , +45 21 57 97 24, bsm@dst.dk, Quarterly National Accounts, Chief Adviser, Chief Adviser, Jonas Dan Petersen , +45 30 57 18 26, jop@dst.dk, Head of Section, Head of Section, Bahar Dudus Celik , +45 24 78 48 23, bdu@dst.dk, Head of Section, Head of Section, Søren Havn Gjedsted , +45 30 45 28 67, shg@dst.dk, Head of Section, Head of Section, Henning Elberg Jørgensen , +45 21 78 12 42, hjg@dst.dk, Head of Section, Head of Section, Oliver Nygaard Sørensen , +45 51 83 40 39, ons@dst.dk, Senior Head Clerk, Senior Head Clerk, Marianne Vester , +45 51 66 72 91, mvt@dst.dk, Student, Student, Kasper Rugaard Lund , +45 24 78 18 62, krg@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=06&tlfbogsort=sektion

Contact: Research Services

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Nikolaj Borg Burmeister , +45 29 47 58 06, nbu@dst.dk, Senior Adviser, Senior Adviser, Anette Björnsson , +45 29 32 70 66, abb@dst.dk, Executive chief consultant, Executive chief consultant, Erica Born Ahrenfeldt , +45 24 79 31 84, eaf@dst.dk, Executive chief consultant, Executive chief consultant, Eva Thorborg Mørk , +45 21 12 12 58, etm@dst.dk, Senior Head Clerk, Senior Head Clerk, Ane Eiðisgarð , +45 21 33 71 48, aei@dst.dk, Senior Head Clerk, Senior Head Clerk, Lene Eddy Stegemüller , +45 24 94 02 83, les@dst.dk, Research Services, Chief Adviser, Chief Adviser, Karin Ørum Elwert , +45 29 32 96 12, kae@dst.dk, Chief Adviser, Chief Adviser, Leif Jensen , +45 51 68 99 87, lei@dst.dk, Chief Adviser, Chief Adviser, Charlotte Leolnar Reif , +45 24 60 34 73, clr@dst.dk, Chief Adviser, Chief Adviser, Helle Wallach Kildemoes , +45 21 43 61 85, hwk@dst.dk, Senior Adviser, Senior Adviser, Oskar Enghoff , +45 20 14 58 38, oen@dst.dk, Senior Adviser, Senior Adviser, Maya Hussain-Engberg , +45 21 44 06 76, mae@dst.dk, Senior Adviser, Senior Adviser, Thomas Christian Lauterbach , +45 24 92 62 69, tce@dst.dk, Senior Adviser, Senior Adviser, Anne-Louise Hother Nielsen , +45 21 77 83 62, hon@dst.dk, Senior Adviser, Senior Adviser, Hanne L. Petersen , +45 51 48 38 00, hlp@dst.dk, Senior Adviser, Senior Adviser, Susanne Vind , +45 29 17 86 77, sbv@dst.dk, Senior Adviser, Senior Adviser, Morten Winkler , +45 24 78 53 49, kle@dst.dk, Head of Section, Head of Section, Marianne Andresen , +45 29 67 53 13, mia@dst.dk, Head of Section, Head of Section, Nanna Dietrich , +45 21 17 56 44, ndi@dst.dk, Head of Section, Head of Section, Malthe Frøkjær-Rubbås , +45 21 14 53 48, mrb@dst.dk, Head of Section, Head of Section, Maria Rudkjær Henriksen , +45 29 61 79 12, mmk@dst.dk, Head of Section, Head of Section, Birgitte Hollegaard , +45 40 18 46 33, bho@dst.dk, Head of Section, Head of Section, Lasse Hørby Madsen , +45 21 13 85 12, lby@dst.dk, Head of Section, Head of Section, Jon Runar Jensen Larsen , +45 20 37 17 97, jru@dst.dk, Head of Section, Head of Section, Nikola Nedic , +45 21 44 01 67, nic@dst.dk, Head of Section, Head of Section, Julie Nielsen , +45 20 37 02 74, jui@dst.dk, Head of Section, Head of Section, Naghmeh Rahmanfard , +45 29 39 17 44, nra@dst.dk, Head of Section, Head of Section, Carolina Rizzato , +45 20 11 54 49, mcz@dst.dk, Head of Section, Head of Section, Faten Saleh , +45 21 43 20 42, fas@dst.dk, Head of Section, Head of Section, Berit Taul , +45 24 52 21 02, bpd@dst.dk, Head of Section, Head of Section, Amanda Grønbjerg Vrå , +45 23 29 13 73, agv@dst.dk, Head of Section, Head of Section, Nicolai Østenlund , +45 30 36 34 95, neo@dst.dk, Bachelor, Bachelor, Ronaldas Aliubavicius , +45 30 58 06 71, roa@dst.dk, Student, Student, Lukas Treppendahl , +45 21 57 44 70, ltl@dst.dk, System Analyst, System Analyst, Tina Jeannette Hagendam , +45 20 41 49 28, tjh@dst.dk, System Analyst, System Analyst, Nicolai Jacob Kofod-Jensen , +45 21 84 69 90, nkj@dst.dk, System Analyst, System Analyst, Morten Lindboe , +45 51 72 33 20, mtl@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=13&tlfbogsort=sektion

Documentation of statistics: Childcare before school start

Contact info, Population and Education, Social Statistics , Jens Bjerre , +45 29 16 99 21 , jbe@dst.dk , Get documentation of statistics as pdf, Childcare before school start 2024 , Previous versions, Childcare before school start 2023, Childcare before school start 2022, Childcare before school start 2021, Childcare before school start 2020, Childcare before school start 2019, Childcare before school start 2018, Childcare before school start 2017, Childcare before school start 2016, The purpose of the statistics Childcare Before Starting School is to shed light on the extent of and the resources used for childcare in day care services for children below school age. The statistics are used to compare the allocation of resources across municipalities. Data is available dating back to 1943, but in its current form, the statistics are comparable from 2015 onwards, when the method of calculation was changed to full-time units., Statistical presentation, The statistics provide an annual overview of the number of enrolled children and the number of staff with pedagogical responsibilities in municipal and independent day care institutions as well as pool scheme institutions and municipal day care. Both children and staff are measured in full-time equivalents (FTEs)., The statistics also include staffing ratios, calculated as the ratio between children and staff. The ratios are gross staffing levels, meaning that all working hours are included, including time for planning and parent meetings. Adjustments are made for parental leave, substitutes are included, and both pedagogical leaders and centrally based support staff are part of the calculation., Read more about statistical presentation, Statistical processing, Information on enrolled children and employees are obtained primarily from registration in municipalities through the municipalities' and regions' payroll office. Data is examined for errors and all municipalities validate their data in dialogue with Statistics Denmark., Read more about statistical processing, Relevance, There are different and diverse users of the statistics. The Danish Ministries use the statistics to compare the resource allocation to childcare in different municipalities and to develop policies on child care. Interest organizations, such as the National Association of Pedagogues (BUPL), the National Associations of Municipalities (KL) and The Association of Parents (FOLA) use the statistics to assess the service level in the childcare area. Data has been collected on an agreement between Statistics Denmark and the Ministry of Children and Education., Read more about relevance, Accuracy and reliability, The inventory for 2024 has information from all 98 municipalities. The accuracy is affected by errors in municipal registrations and whether keys for distributing staff in age groups 0-2 and 3-5 years in 0-5 year institutions are correct. Employees and children from private institutions are not included in the statistics, because of an unrealistic high or low ratio of children pr. employee in such institutions. Moreover uncertainty comes from single registration errors that do not give systematic errors in the calculation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approx. ten months after the end of the reference year. The statistics are published without delay in relation to the pre-announced release date in the release calendar., Read more about timeliness and punctuality, Comparability, Statistic on childcare can be dated back to 1943. From 1975 it was the number of children enrolled in the age groups 0-2 years and 3-6 years. Until 2004, the date of measurement was a day in spring, but from 2004 it becomes the first of October. As of 2015, children and staff are measured as full-time units. This gives a lower number of children and staff compared to before 2015. Figures from before 1983 can be found in statistical yearbooks, while figures from 1983 onwards can be found at the Statbank. Statistics on childcare do not have common guidelines across countries., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, statistics on the number of children enrolled in institutions, pedagogical employees, the ratio between children and employees and the number of institutions can be found under the subject , Childcare, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-before-school-start

Documentation of statistics

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 2025-2. 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

Documentation of statistics: Social protection expenditure

Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Social protection expenditure 2024 , Previous versions, Social protection expenditure 2023, Social protection expenditure 2022, Social protection expenditure 2021, Social protection expenditure 2020, Social protection expenditure 2018, Social protection expenditure 2017, Social protection expenditure 2016, Social protection expenditure 2015, Social protection expenditure 2014, Social protection expenditure 2013, The purpose of the Social Expenditure Statistics is to illuminate expenditure connected to social protection targeting individuals and households. Social protection encompasses a society’s interventions intended to relieve individuals and households of the financial burden of a defined set of risks or needs, e.g. illness. The statistics provide an overview of the development in expenditures related to social protection in Denmark and can be used to compare the level of social protection internationally. The statistics have been compiled since 2007 and are based on a European statistics system., Statistical presentation, The statistics are an annual statement of expenditures on benefits connected to social protection assessed in DKK million. Social benefits are benefits intended to relieve households and individuals of the financial burden of a defined set of risks or needs, e.g. illness or unemployment. The statement includes both cash benefits and benefits in kind (e.g. free health care services). The statistics are divided into eight main areas and includes the whole of Denmark as well as some Danish pensioners abroad. The benefits include both public and private expenses., Read more about statistical presentation, Statistical processing, The data for this statistic is collected yearly via the main sources: central and local accounts. It is supplemented with internal data deliveries from insurance- and pensions subsectors, application matrixes, hours and days of absence from work, and an external data delivery on tax rates used for enumerating the statistic from the Ministry of Finance., The collected data is validated via removal of potential errors, coding, and treatment processes leading to the final result, which, amongst other things, demands reviews and quality assurance of codes, expenditures and developments over time., Read more about statistical processing, Relevance, Data on social expenditure is in big demand from international organizations, e.g. from Eurostat and Directorate-General for Employment, Social Affairs and Inclusion (DG EMPL)., Read more about relevance, Accuracy and reliability, This statistic is based on the statistic for General Government Finances, and is relevant for users interested in expenditures connected to social protection (expenditures linked to education are excluded from this statistic)., The statistic is published on a yearly basis and is revised two years back in time in every production, which ensures consistency and transparency in the data., In regards to possible uncertainties, the level of the total social expenditures to be slightly underestimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually, approximately 10 months after the end of the calendar year. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistic is comparable from 2007 and onwards. It is comparable to the statistic for General Government Finances, which follows the principles of National Accounts., The statistic is regulated by order by the EU and is also published by Eurostat via the , ESSPROS, -system (European System of Integrated Social PROtection Statistics), albeit in slightly different categories than those presented in the Danish Stat bank. This makes the statistic internationally comparable with statistics in other countries reporting to the ESSPROS system in Eurostat., Read more about comparability, Accessibility and clarity, The statistic is published annually in the form of two statistics tables in the , Statbank, and a Danish news release in , Nyt fra Danmarks Statistik, . , In addition, internationally comparable figures for this statistic are available in the Social protection expenditures available on , Eurostat's website, . , More information is available on the page of Social Expenditures at , Statistics Denmark’s website, , as well as on the , site on classifications, , where e.g. codes, categories and manuals in for the statistic are accessible., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-protection-expenditure

Documentation of statistics

Contact: Population and Education

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Peter Vig Jensen , +45 23 11 35 13, pvj@dst.dk, Executive chief consultant, Executive chief consultant, Christian Vittrup , +45 24 46 89 90, cvi@dst.dk, Childcare, Chief Adviser, Chief Adviser, Jens Bjerre , +45 29 16 99 21, jbe@dst.dk, Senior Adviser, Senior Adviser, Lisbeth Nørgaard Møller , +45 21 45 23 83, lnm@dst.dk, Senior Head Clerk, Senior Head Clerk, Jamila Buzquurz , +45 21 13 40 31, jbu@dst.dk, Education, Chief Adviser, Chief Adviser, Klaus Rasmussen , +45 29 67 80 47, klr@dst.dk, Chief Adviser, Chief Adviser, Susanne Mainz Sørensen , +45 20 34 51 79, sms@dst.dk, Senior Adviser, Senior Adviser, Eva Lotti Hansen , +45 21 59 99 06, ebr@dst.dk, Senior Adviser, Senior Adviser, Annemarie Schriver , +45 40 18 43 54, rie@dst.dk, Head of Section, Head of Section, Alexander Pfeiffer Cappelen , +45 23 63 72 52, apf@dst.dk, Head of Section, Head of Section, Lau Dam Mortensen , +45 40 38 65 21, ldm@dst.dk, Head of Section, Head of Section, Martin Herskind , +45 21 34 03 31, hrs@dst.dk, Head of Section, Head of Section, Christian Johansen , +45 21 16 49 48, cvj@dst.dk, Head of Section, Head of Section, Nanna Maria Kerlauge , +45 61 63 06 57, nml@dst.dk, Head of Section, Head of Section, Asger Bromose Langgaard , +45 21 59 96 46, alg@dst.dk, Head of Section, Head of Section, Mattias Nørgaard Matsushita , +45 20 21 87 90, mmt@dst.dk, Head of Section, Head of Section, Martin Nørskov , +45 40 47 39 37, mno@dst.dk, Head of Section, Head of Section, Mikkel Jonasson Pedersen , +45 23 60 42 07, mps@dst.dk, Head of Section, Head of Section, Lene Riberholdt , +45 23 60 62 18, lri@dst.dk, Bachelor, Bachelor, Arancha F. Romero , +45 93 90 20 20, aro@dst.dk, Student, Student, Agge Nørreslet , +45 23 65 41 60, agg@dst.dk, System Analyst, System Analyst, Nikolaj Larsen , +45 21 15 00 56, njl@dst.dk, Population, Chief Adviser, Chief Adviser, Lisbeth Harbo , +45 20 58 64 08, lhb@dst.dk, Chief Adviser, Chief Adviser, Annika Klintefelt , +45 23 31 14 33, akf@dst.dk, Chief Adviser, Chief Adviser, Jørn Korsbø Petersen , +45 20 11 68 64, jkp@dst.dk, Chief Adviser, Chief Adviser, Marcin Jan Stonawski , +45 81 44 25 38, msw@dst.dk, Senior Adviser, Senior Adviser, Lars Peter Smed Christensen , +45 20 42 35 51, lpc@dst.dk, Senior Adviser, Senior Adviser, Annemette Lindhardt Olsen , +45 20 59 02 47, alo@dst.dk, Senior Head Clerk, Senior Head Clerk, Dorthe Larsen , +45 23 49 83 26, dla@dst.dk, Senior Head Clerk, Senior Head Clerk, Connie Østberg , +45 23 60 19 14, cbn@dst.dk, Sustainable Development Goals (SDGs), Chief Adviser, Chief Adviser, Henrik Bang , +45 24 27 45 15, hbg@dst.dk, Chief Adviser, Chief Adviser, Agnes Tassy , +45 24 81 48 78, ata@dst.dk, Student, Student, Lea Birch Overbye Knudsen , +45 21 15 58 13, bok@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=01&tlfbogsort=sektion

Our projects

Statistics Denmark implements projects in other countries with the purpose to build up these countries’ capacity to produce reliable, comparable, timely and available statistics. Below is a list of some of those countries we currently support as well as some of those countries we supported in the past., Ghana, Morocco and Vietnam, January 2024/January 2025 – December 2026, Statistics Denmark and the Danish Ministry of Foreign Affairs on one side and the national statistical institutions in Ghana, Morocco and Vietnam on the other side have agreed to implement Phase II of the Strategic Sector Cooperation projects in the area of statistics. The aim of the second phase is that,  partner countries are strengthened and in a better position to consistently provide a reliable and credible evidence-base to sensitise decision-makers, implementers and key actors responsible for advancing a just green transition, as well as for the general public at large. , Vietnam entered Phase II in January 2025. The plan is to include a fourth country in Phase II - the selection process is ongoing., Read more about our project in Ghana, Read more about our project in Morocco, Read more about our project in Vietnam, Bosnia and Herzegovina , January 2024 - January 2026, Statistics Denmark is implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Slovenia and Italy. The project runs from January 2024 to January 2026. This project is the fifth in a row of collaboration projects financed by the EU, with Statistics Denmark as the lead agency., The overall objective of the project is to strengthening the national statistical system (NSS) inside Bosnia-Herzegovina facilitating its approximation to the Union , acquis, in the area of statistics. , Read more, Jordan 2022-2024, September 2022-September 2024, Statistics Denmark implements an EU-financed Twinning project in Hashemite Kingdom of Jordan. Our partner is Department of Statistics of the Hashemite Kingdom of Jordan (DoS)., The implementation is done in close cooperation with the Federal Statistical Office in Germany, The Italian National Institute of Statistics and Statistics Lithuania as Junior Partners, with support from Statistics Finland. The project will run from September 2022 to September 2024., The overall objective of the Twinning Proposal is to strengthen the capacity of Jordan’s Department of Statistics in terms of compilation, analysis and reporting of statistical data in line with International and European best practices., Read more, Pan-African Statistics - PAS II, February 2022-October 2025, The Pan-African Statistics project is part of an EU funded programme counting two projects (SOCSTAF and ECOBUSAF) headed by Statistics Denmark and Statistics France respectively. The Danish-headed project focuses on support to producing official statistics within the social domains of education, health, and labour and counts consortium partners from the NSIs of France, Finland, Spain and Poland. Denmark is consortium partner in the French-headed project focusing on support to a Statistical Business Register and national accounts., The aim of the Danish-led part of the project is to support African integration through strengthening the African Statistical System and ensure the use of quality statistical data in the decision-making process and policy monitoring, in order to facilitate monitoring of societal progress in Africa, with a special focus on the social domain., Read more about PAS II here, Ghana, Morocco and Vietnam, February 2019 – 2024, Statistics Denmark and the Danish Ministry of Foreign Affairs on one side and the national statistical institutions in Ghana, Morocco and Vietnam on the other side have agreed to start Strategic Sector Cooperation projects with the aim to strengthen the quality of official statistics in the three countries., Read more, Recently concluded projects, Georgia 2019-2021, April 2019 – July 2021, Statistics Denmark is implementing an EU-financed Twinning project with Geostat, the national statistical institution in Georgia. The project focuses on national accounts, extranal sector statistics, business statistics and social statistics. The project is implemented in cooperation with the national statistical institutions of the Czech Republic, Hungary, Finland and Lithuania., Read more, Bosnia and Herzegovina , January 2018 – April 2020, Statistics Denmark has implemented an EU-financed Twinning project with the three statistical institutions and the Central Bank of Bosnia and Herzegovina. The project focused on national accounts, statistical business register, structural business statistics, producer prices in service industries and construction, tourism statistical, balance of payment and international investment position statistics. The project was implemented in cooperation with the national statistical institutions of Croatia, Finland and France., Read more, Mozambique, 2002 - 2015, Statistics Denmark has together with Statistics Norway and Statistics Sweden in a consortium called Scanstat provided assistance to the national statistics institution in Mozambique, INE during three five-years planning periods (2003-2007, 2008-2012, 2013-2017). Scanstat had assigned two long term advisers until the end of 2015. The project covered a range of different statistical subjects as well as management support. The financial support was pooled in a basket where a range of donors were involved., Read more

https://www.dst.dk/en/consulting/projects

Contact: Finance and Service

Section/Title, Name, Phone, Mail, IT supporter trainee, IT supporter trainee, Alex Dyrhauge Halberg Petersen , +45 21 79 41 93, adp@dst.dk, Office Trainee, Office Trainee, Monique Neergaard-Nielsen , +45 29 27 35 53, moq@dst.dk, Office Trainee, Office Trainee, Helle Schandorff Eriksen , +45 24 49 12 01, hse@dst.dk, Office Trainee, Office Trainee, Malene Boie Simonsen , +45 21 44 34 78, moe@dst.dk, Office Trainee, Office Trainee, Signe Tarp , +45 23 42 89 73, sig@dst.dk, Management and Office Support, CFO, CFO, Jakob Vestergaard , +45 20 20 18 38, jbv@dst.dk, Development and Results, Senior Adviser, Senior Adviser, Katrine Houbak Hertel , +45 23 71 13 08, khh@dst.dk, Head of Section, Head of Section, Anette Bjørsted , +45 20 47 21 46, atb@dst.dk, Finance, Chief Adviser, Chief Adviser, Malene Nygaard Uldahl , +45 20 40 33 14, mnu@dst.dk, Senior Adviser, Senior Adviser, Edyta Beata Banas Hansen , +45 21 16 85 34, ebb@dst.dk, Senior Adviser, Senior Adviser, Jasper Jørgensen , +45 40 29 47 60, hrt@dst.dk, Senior Adviser, Senior Adviser, Helle Kofoed Larsen , +45 20 47 87 23, hla@dst.dk, Executive chief consultant, Executive chief consultant, Susanne Clausen , +45 20 16 14 17, shc@dst.dk, Senior Clerk, Senior Clerk, Mette Kjeldahl Wrona , +45 23 32 53 97, mwr@dst.dk, Senior Head Clerk, Senior Head Clerk, Pernille Gregersen , +45 40 13 85 96, pgr@dst.dk, Senior Head Clerk, Senior Head Clerk, Bodil Jonasen , +45 20 47 77 52, bjn@dst.dk, Senior Head Clerk, Senior Head Clerk, Anita Kristensen , +45 20 47 35 43, aak@dst.dk, Student, Student, Hanna Navasser , +45 21 16 74 83, hnv@dst.dk, HR, Chief Adviser, Chief Adviser, Helle Thejn , +45 21 52 82 40, hth@dst.dk, Senior Adviser, Senior Adviser, Laura Winther Milde , +45 20 16 27 63, lwm@dst.dk, Head of Section, Head of Section, Celina Jancey , +45 21 25 90 68, cel@dst.dk, Executive chief consultant, Executive chief consultant, Anne Engholm Jelby , +45 21 47 36 26, aeh@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Ehlig Hansen , +45 24 93 35 73, tie@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Juul , +45 20 46 27 18, kjj@dst.dk, Senior Head Clerk, Senior Head Clerk, Linda Juvald , +45 21 19 62 18, ljv@dst.dk, Senior Head Clerk, Senior Head Clerk, Pia Kraag Krüger , +45 24 25 95 07, pkr@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Hermann Nielsen , +45 21 79 83 82, kan@dst.dk, Senior Head Clerk, Senior Head Clerk, Sonja Tesch , +45 24 37 26 17, sba@dst.dk, Internal services, Senior Head Clerk, Senior Head Clerk, Gitte Hansson , +45 22 26 70 04, gpt@dst.dk, Office Trainees, Office Trainee, Office Trainee, Sara Louise Bøggild Nielsen , +45 21 79 96 38, sbo@dst.dk

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Documentation of statistics: The importance of cultural and creative industries in the national economy

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , ayb@dst.dk , Get documentation of statistics as pdf, The importance of cultural and creative industries in the national economy 2023 , Previous versions, The importance of cultural and creative industries in the national economy 2022, Documents associated with the documentation, Delimitation of activities (pdf), The purpose of the statistics on the economic importance of cultural and creative industries in the national economy is to show the significance of cultural and creative industries in the Danish economy, presented within a national accounting framework. Concepts from national accounts, such as production and gross value added (GVA), are linked to the classifications of cultural and creative industries. The aim is to reflect not only the direct activities within the cultural and creative industries but also the indirect activities taking place in other sectors that support them., Statistical presentation, The statistics convert activity in the cultural and creative industries at the most detailed level of the Danish Industrial Classification 2007 into the national accounts' industry classification and national accounting concepts such as production and gross value added. This alignment with the national accounts' industry groupings enables both an input-output model calculation of indirect effects in other industries supporting cultural and creative production, and a comparison of key figures with those for other parts of the Danish economy. The results are categorized by cultural subjects and creative industries., Read more about statistical presentation, Statistical processing, The statistics link the production in selected 6-digit activity codes from the Danish Industrial Classification 2007, which cover cultural and creative industries, to the production in the 117-industry classification of the national accounts. This enables the use of an input-output model to calculate the indirect effects in other industries. The indirect effects in sectors other than the cultural and creative industries are calculated by integrating the cultural and creative production into an input-output model. The calculations are based on ESA2010 and the supply and use matrices of the national accounts, which underpin the official national account figures., Read more about statistical processing, Relevance, The cultural industry has significant non-market activity, as well as considerable direct and indirect government support and contributions from private foundations. This statistics can capture these aspects and provide more accurate figures for the sector's economic impact, taking these factors into account. The statistics are based on a value chain approach, distinguishing between the arts, culture etc., are produced and practiced, as well as activities surrounding the creative and performed activities, such as wholesale, retail, distribution, etc. The statistics provide insights into the significance of the various components., Read more about relevance, Accuracy and reliability, The statistics are based on sources with uncertainties, such as weights from the General Enterprise Statistics and trade in goods and services, as well as assumptions made in the construction of national accounts and input-output tables. Preliminary versions of the most recent reference year contribute to additional uncertainty. The input-output table and model assumptions result in lower precision compared to directly observed data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately three months after the release of a new reference year for the input-output tables and the final national accounts, which usually occurs at the end of June, i.e., approximately 20 months after the end of the reference year. This includes the release of both preliminary and final figures., The input-output tables are published once a year, simultaneously with the release of the final national accounts. The publication date for the final reference year is 2.5 years after its conclusion. The two preliminary years are published at the same time as the final year, 2.5 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2014 to 2022 with final statistics, as well as 2023 with preliminary statistics. The statistics are comparable across the entire period. , It is possible to find statistics on the economy and employment in the cultural sector in other countries, even though there are no international guidelines for producing this type of statistics. The EU, Eurostat, and UNESCO also regularly publish reports that overlap thematically with these statistics and the cultural sector in general., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press realease, at the same time as the tables are updated in the StatBank. In the StatBank these statistics can be found under the subject , Economy in the cultural field, ., For more information, visit the topic page , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-importance-of-cultural-and-creative-industries-in-the-national-economy

Documentation of statistics