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Documentation of statistics: Construction cost index for residential buildings

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , pfj@dst.dk , Get documentation of statistics as pdf, Construction cost index for residential buildings 2025 , Previous versions, Construction cost index for residential buildings 2024, Construction cost index for residential buildings 2023, Construction cost index for residential buildings 2022, Construction cost index for residential buildings 2021, Construction cost index for residential buildings 2020, Construction cost index for residential buildings 2019, Construction cost index for residential buildings 2018, Construction cost index for residential buildings 2017, Construction cost index for residential buildings 2016, Construction cost index for residential buildings 2015, Construction cost index for residential buildings 2014, Documents associated with the documentation, Weight basis 2024- , Construction cost index for residential buildings (pdf), Weight bases 2015-2023, Construction cost index for residential buildings (pdf), Omregning mellem BYG42 og BYG43 (pdf) (in Danish only), The construction cost index for residential buildings reflects the evolution of housing construction costs in Denmark. The index is used, among other things, to regulate building contracts. The primary users of this index are construction organizations, entrepreneurs, housing developer, professional craftsmen, solicitors, public institutions and the EU. The construction cost index has been published since the first quarter of 2003 and replaces the former construction cost index., Statistical presentation, The construction cost index for residential buildings is produced each quarter to follow the change in construction costs for residential buildings in Denmark. The index is published for a one-family house and a multi-family house, in addition to all residential buildings which is based on a weighting of the two indices. All indices are further more broken down into seven sub-indices by profession and six sub-indices by building parts. Both the total indices and the sub-indices are divided into material costs and labor costs., Read more about statistical presentation, Statistical processing, The Construction cost index for residential buildings is based on three actual housing constructions. The constructions are typical for the construction of residential building in Denmark and are selected on the basis of an analysis of the current construction. The costs of the three constructions forms the weights of the indices. These weights are used to weigh together the prices of the cost components., Read more about statistical processing, Relevance, Construction cost index for residential buildings is used for contract regulations and to follow the economic development of construction costs. The primary users of the index are construction organizations, entrepreneurs, housing developers, professional craftsmen, solicitors, public institutions and the EU., Read more about relevance, Accuracy and reliability, The construction cost index for residential buildings covers the development of typical residential house construction in Denmark. It is assumed that the nine buildings that form the weight basis of the index are actually representative of typical house constructions in Denmark. Measures on accuracy are not available, but continuous monitoring and improvement of the quality of pricing data and weights means that the index is evaluated as being of high quality and representative of the general development of house building costs in Denmark. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 65 days after the end of the quarter: primo March (Q4), primo June (Q1), primo September (Q2) and primo December (Q3). Yearly statistics are published once per year in connection with publication of the 4th quarter. The statistics are normally published without delay in relation to the announced time of publication., Read more about timeliness and punctuality, Comparability, The Construction cost index for residential buildings follows European regulations and is therefore comparable to construction cost indices produced by countries that report to Eurostat. The index can also be linked to former construction cost indices for residential buildings (2003 = 100 and 1987 = 100). Historically, construction cost statistics have been calculated since the 1920's, but those are not comparable to the contemporary statistics., Read more about comparability, Accessibility and clarity, The statistics are published in "Nyt fra Danmarks Statistik" (News from Statistics Denmark) and in "Byggeri og boligforhold" (Construction and housing) which appears in "Konjunkturstatistik" (Main indicators)., Yearly publications: , Statistical Yearbook, and , Statistical ten-year review, ., Statistics are available from Statbank Denmark at: (http://www.Statbank.dk): , Byg43, and , Byg53, . Find more information at , Index of production in construction, ., Furthermore, it is possible to subscribe to the construction index by so-called , postcards, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-cost-index-for-residential-buildings

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

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

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

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

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

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=07&tlfbogsort=sektion

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

Documentation of statistics: Consumer Expectations Survey

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Consumer Expectations Survey 2025 , Previous versions, Consumer Expectations Survey 2024, Consumer Expectations Survey 2023, Consumer Expectations Survey 2022, Consumer Expectations Survey 2021, Consumer Expectations Survey 2020, Consumer Expectations Survey 2019, Consumer Expectations Survey 2018, Consumer Expectations Survey 2017, Consumer Expectations Survey 2016, Consumer Expectations Survey 2015, The purpose of the survey is to analyze the consumer climate through questions about the economic situation as perceived by consumers at a given time concerning both the general economic situation in Denmark and the financial situation of the family. The main results are coordinated in the so-called consumer confidence indicator. The Danish surveys have been conducted since 1974. From 1996 data is collected in all 12 months of the year., Statistical presentation, Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements., Read more about statistical presentation, Statistical processing, This survey are sample surveys, where a representative sample of persons 16-74 years are asked among other things about the consumer expectations. The results are corrected from the effects of non-sampling and non-response and then enumerated so that the figures can directly be classed with the population of adult persons and families in Denmark. Data are validated using logical validation rules. A seasonal pattern could not be identified in the series and no seasonal adjustment was undertaken., Read more about statistical processing, Relevance, The most important user is the European Commission for Economy and Finances (ECFIN), which receives detailed tables for all questions and publishes seasonally adjusted consumer confidence indicators for all EU member states. The figures are also of great interest to the news media., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65%, which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated ranged within +/- 3 percentage points. A change in an indicator should be greater than 5 percentage points to indicate a significant change., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The questions asked in connection with these statistics in Denmark are also asked in the European Commission's Consumer confidence survey '. The European Commission publishes figures for all EU countries in its database. Eurostat's consumer confidence is based on a slightly different composition of questions than the current one in Denmark. Therefore, the overall consumer confidence indicators calculated in Denmark and in Eurostat are not directly comparable, whereas all sub-indicators are directly comparable. The questions shown in the section 2.01. Data description, have been asked in all the omnibus surveys since 1974. Due to minor changes in the calculation method, an immediate comparison is only possible from 2007 onwards. , Read more about comparability, Accessibility and clarity, The results are published in , News from Statistics Denmark, and , Statbank Denmark, . Further, there is a subject page for , Consumer Expectations, ., After each survey, Statistics Denmark submits detailed tables giving a number of background variables as well as the consumer confidence indicator and net figures to the European Commission, which publishes monthly both seasonally adjusted and not seasonally adjusted indicator and the net figures for each members state (incl. Denmark), at European Commission database: , European Commission database, The access to the more detailed data and Micro-data can be granted through Statistics Denmark's agreement for researchers., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-expectations-survey

Documentation of statistics

Documentation of statistics: Budgets of General Government

Contact info, Government Finances , Martin Rune Rasmussen , +45 24 77 42 71 , MRA@dst.dk , Get documentation of statistics as pdf, Budgets of General Government 2025 , Previous versions, Budgets of General Government 2024, Budgets of General Government 2021, Budgets of General Government 2020, Budgets of General Government 2019, Budgets of General Government 2018, Budgets of General Government 2015, The purpose of Budgets of General Government is to analyze the economic activities of general government and to analyze the distribution of tasks and burden between sub-sectors of general government and finally to show the interaction between this sector and the rest of the economy. The budget-statistics of the February-version is based on passed budgets of state, counties and municipalities as well as social welfare funds. The September version is based on proposals for the state budget and the March version is based on the state budget. Both versions are compiled in cooperation with the Department of Finance. The calculations of the budget statistics of counties and municipalities are based on a national accounting standards interpretation of the municipal financial agreements. Social welfare funds numbers are calculated on estimates from unemployment funds. The statistics were produced for the first time in 1995. Data are available from 1996 and onward., Statistical presentation, The statistics monitor current and capital expenditure/revenue for the general government based on budgets. Net lending / net borrowing of the general government are shown. Expenditure /revenue items are shown by type of transaction and by type of function. Taxes, subsidies and transfers to households are sub-divided by type., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public budget systems and other supplementary sources. It is then compiled according to national accounts principles, where it may be necessary to contact the specific source to clarify certain characteristics of the entries. It may be necessary to make imputations in cases where the data isn’t available at the time of publication. When a full dataset is compiled for all subsectors balancing is carried out to secure internal consistency., Read more about statistical processing, Relevance, Many users who monitor the public economy have interest in the published statistics of government finance statistics. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistic covers the entire target population. The central government budget is received from Agency for Public Finance and Management (Økonomistyrelsen). All municipalities and regions must report their budgets, and missing budgets are thus not permitted. As the budgets are delivered directly from the municipalities and regions' own financial management systems and compared with data from prior years as well as the budget, it is assumed that no major measurement errors exist. If there are blank or invalid variables or dataset the municipality or region is contacted so new data may be sent., Read more about accuracy and reliability, Timeliness and punctuality, The March-version is published three month after the adoption of the budget. The September version is published one week after the publication of the budget proposal. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Data are comparable according to ESA2010 from the fiscal year 2015 and onward. For the years 1995 to 2014 the figures is comparable according to ESA1995, Read more about comparability, Accessibility and clarity, [!!! Start import from current English QD : Paragraph 5.1 !!!], The statistics are published in Nyt fra Danmarks Statistik (News from Statistics Denmark) and in Offentlige finanser (Public Finance) appearing in the series Statistiske Efterretninger (Statistical News). Yearly publications: Statistical Yearbook and Statistical Ten-Year Review., [!!! End import from current English QD : Paragraph 5.1 !!!], Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/budgets-of-general-government

Documentation of statistics