Search result

New Pricing Model

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

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

Contact: Short Term Statistics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Søren Kühl Andersen , +45 22 26 04 36, ska@dst.dk, Construction Statistics, Index, Danish Building and Housing Register, etc., Senior Adviser, Senior Adviser, Kasper Emil Dueholm Freiman , +45 23 45 47 32, kfr@dst.dk, Industry, Chief Adviser, Chief Adviser, Mathias Dybdahl Bluhme , +45 40 22 56 37, mdb@dst.dk, Senior Adviser, Senior Adviser, Simon Bolding Halifax , +45 51 29 21 91, sbh@dst.dk, Head of Section, Head of Section, Morten Skovrider Kollerup , +45 24 52 61 68, msl@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Eriksen , +45 61 50 41 27, bhe@dst.dk, Senior Head Clerk, Senior Head Clerk, Inger Hansen , +45 40 23 78 84, iha@dst.dk, Senior Head Clerk, Senior Head Clerk, Heidi Sørensen , +45 24 79 86 81, hsn@dst.dk, Purchases and Sales by Industry and Retail Trade Index, Chief Adviser, Chief Adviser, Lina Pedersen , +45 51 68 72 80, lip@dst.dk, Retail trade index, Chief Adviser, Chief Adviser, Nina Thøgersen , +45 21 20 32 67, nit@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Larsen , +45 81 75 12 42, kil@dst.dk, Secretary, Tourism, Senior Head Clerk, Senior Head Clerk, Majbrit Holst , +45 24 94 08 24, mbj@dst.dk, Tourism, Chief Adviser, Chief Adviser, Karen Keller , +45 21 19 85 61, kke@dst.dk, Transport and Vehicles, Chief Adviser, Chief Adviser, Peter Ottosen , +45 30 42 91 91, pot@dst.dk, Head Clerk, Head Clerk, Henriette Erichsen , +45 29 77 56 38, hee@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Moric Ingemann , +45 24 78 42 12, kam@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=08&tlfbogsort=sektion

Contact: Food Industries

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Troels Pade , +45 29 12 04 77, tpd@dst.dk, Accounts Statistics, Agriculture, Chief Adviser, Chief Adviser, Henrik Bolding Pedersen , +45 20 57 88 87, hpe@dst.dk, Senior Adviser, Senior Adviser, Charlotte Filt Slothuus , +45 24 26 05 58, cfs@dst.dk, Senior Adviser, Senior Adviser, Martin Brandt Jepsen , +45 24 99 89 11, mjs@dst.dk, Head of Section, Head of Section, Dorte Hækkerup , +45 40 35 67 73, dmh@dst.dk, Head of Section, Head of Section, Charlotte Wind von Bennigsen , +45 24 21 42 30, cwb@dst.dk, Accounts Statistics, Fisheries and Aquaculture, Chief Adviser, Chief Adviser, Charlotte Spliid Hansen , +45 29 41 97 76, chh@dst.dk, Head of Section, Head of Section, Michael Brogaard , +45 51 62 70 89, mib@dst.dk, Head of Section, Head of Section, Lisbeth Elin Lakjer Christensen , +45 21 77 74 20, lcr@dst.dk, Structure, Production and Organic production and Trade, Chief Adviser, Chief Adviser, Martin Lundø , +45 51 46 15 12, mlu@dst.dk, Senior Adviser, Senior Adviser, Mona Larsen , +45 24 81 68 47, mla@dst.dk, Head of Section, Head of Section, Mads Haaning Andersen , +45 51 85 76 27, mhg@dst.dk, Head of Section, Head of Section, Karsten Kjeld Larsen , +45 21 29 55 76, kkl@dst.dk, Head of Section, Head of Section, Simone Thun , +45 51 36 92 51, sit@dst.dk, Office Clerk, Office Clerk, Mikkel Ole Carstad , +45 23 82 03 56, mca@dst.dk, Senior Head Clerk, Senior Head Clerk, Ditte Puk Andersen , +45 40 43 41 97, dpa@dst.dk, Senior Head Clerk, Senior Head Clerk, Kurt-Kristian Bech , +45 51 16 91 99, kkb@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=03&tlfbogsort=sektion

Documentation of statistics: Government Finance , Quarterly Accounts (Discontinued)

Contact info, Government Finances , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Government Finance , Quarterly Accounts 2023 , Previous versions, Government Finance , Quarterly Accounts 2022, Government Finance , Quarterly Accounts 2021, Government Finance , Quarterly Accounts 2020, Government Finance , Quarterly Accounts 2019, The purpose of Quarterly General Government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from the first quarter 1999 and onward. The statistics is published within three months of the end of the quarter., Statistical presentation, The statistics show the quarterly expenditure and revenue in the sector of general government. The statistics include more data on taxes, income transfers to households and public consumption. The statistics are published within three months of the end of the quarter to which the data concerns. All numbers are in current prices., Read more about statistical presentation, Statistical processing, The main source for the statistics is the accounts of the state, municipalities and regions. The numbers are supplemented by other sources. Estimates are included for the supplement period. For numbers that are not accrued appropriately to the quarters, a calculation is made based on the numbers for the previous quarters, which are distributed among the quarters. There is conducted error detection and validation of the numbers. Table OFF10K and OFF12K are adjusted for seasonal effects., Read more about statistical processing, Relevance, The statistics covers the sector of government finances. The statistic has a lot of interested parties including ministries, politicians, the press and Eurostat., Read more about relevance, Accuracy and reliability, There is no estimation on the uncertainty. Error accounting records are much more frequent in the quarterly accounting reports than in annual accounting reports. The quarterly accounting reports for the central government, regions and municipalities are not represented a final accounting for the quarter. They rather represent a snapshot of the expenditure and revenue recorded at the end of the quarter., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date which is three months after the end of the quarter. , Read more about timeliness and punctuality, Comparability, There is complete comparability with government finance statistics in other countries complying with international standards, i.e. ESA 2010 and SNA 2008. There is comparability over time, but the numbers are calculated at current prices., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark)., Information is also available from Statbank Denmark at , Statistikbanken, in the tables , OFF3K, , , OFF26K, , , OFF10K, og , OFF12K, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-finance---quarterly-accounts--discontinued-

Documentation of statistics

Documentation of statistics: Employment Statistics for Graduates within Arts and Culture

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Employment Statistics for Graduates within Arts and Culture 2019 , Previous versions, Employment Statistics for Graduates within Arts and Culture 2018, Employment Statistics for Graduates within Arts and Culture 2017, Employment Statistics for Graduates within Arts and Culture 2016, These statistics estimate how graduates from artistic and cultural education, subsequently fare in the labor market, for up to 10 years after graduation. These statistics are comparable from 2010 onwards., Statistical presentation, The statistics are an annual statement of key figures on unemployment rates for graduates, the employment rate, the number of employed and the average incomes, for persons who have completed artistic and cultural education. The statistics are grouped by educational institution, education, gender, income type, unemployment type, sector, and geographical by place of work., Read more about statistical presentation, Statistical processing, Information about graduates within arts and culture is reported to Statistics Denmark by the institutions of higher education within arts and culture. The information is complemented with information from the populations statistics, the educational statistics, the register-based labour force statistics , the register-based unemployment statistics and the income statistic., Read more about statistical processing, Relevance, The statistics was originally made as a tailor made solution for the Rectors' Conference. When the responsibility for the cultural statistics where handed over to statistics Denmark, Statistics Denmark also got the responsibility for the employment statistics for graduates within arts and culture., Read more about relevance, Accuracy and reliability, It is not possible to calculate the margins of statistical error. The statistics are compiled for the whole population and, therefore, there is no sample error., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 3-5 months after the latest input data source has been published. The latest data source is the register-based labour force statistics which is published 14-16 after the reference point in time., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2007 to 2010 and again in the current time series from 2010 onwards. Data breaches in 2010 are due to a number of mergers of educational institutions in the years from 2009 to 2011. There are no international standards for graduates from artistic and cultural educations' subsequent connection to the labor market. The statistics are therefore not directly comparable with statements from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Culture, education and employment, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employment-statistics-for-graduates-within-arts-and-culture

Documentation of statistics

Documentation of statistics: Urban Areas

Contact info, Population and Education, Social statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , jkp@dst.dk , Get documentation of statistics as pdf, Urban Areas 2023 , Previous versions, Urban Areas 2020, Urban Areas 2019, Urban Areas 2018, Urban Areas 2015, Urban Areas 2014, The statistics show the number of urban areas and the number of persons in each urban area and in the rural areas within each municipality. Statistics on urban areas can be found every 5th or 10th year in the old census publications. From 1976 to 1996, information on urban areas was compiled every other year, since 1996 annually., Statistical presentation, Information on the number of persons in all urban areas with 200 inhabitants or more, and the number of persons in rural areas for every municipality., Read more about statistical presentation, Statistical processing, The statistical source is information on occupied buildings in the Central Population Register (CPR) and geographical maps of Denmark made by The Danish Geodata Agency for Data Supply and Efficiency which shows the delimitation of the cities ., In may after the end of the year is the populations statistics 1. of January published for the municipalities , Statistikbanken, under "BEF44"., Towns where the population in- or decrease quiet a bit is checked., Read more about statistical processing, Relevance, Users: Municipalities, organizations, private companies, students and private persons., Application: Planning, local historical analyses., Read more about relevance, Accuracy and reliability, The overall quality of the statistics is good, but the definition gives possibilities for discretion., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published yearly in April and is normally kept., Read more about timeliness and punctuality, Comparability, The definition of urban areas has been the same since 1976, but new maps could show boundary changes from one year to the next. The only exception is Hovedstadsområdet (the Metropolitan area). This area was until 1999 defined by using borders of municipalities. From 1999 urban areas within those municipalities are defined as all other urban areas. In this way the area covering Hovedstadsområdet has declined., From 1. January 2006 borders of the urban areas are defined by using x,y coordinates., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Population in Denmark, . The statistics also feature in the , Statistical Yearbook, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/urban-areas

Documentation of statistics

Documentation of statistics: Lunch schemes in daycare institutions (Discontinued)

Contact info, Population and Education , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Lunch schemes in daycare institutions 2018 , Previous versions, These statistics show the children's lunch schemes in daycare institutions. The figures can be used for cross-municipal comparison. This survey is compiled for the first time in 2018, with figures for 2018., Statistical presentation, This survey is an annual estimate of who is responsible for lunch schemes in daycare institutions, including whether the lunch scheme is organized by the municipality, the parents, the daycare institution itself or the children themselves bring packed lunches. These statistics are grouped by type of institution, age groups and municipalities., Read more about statistical presentation, Statistical processing, Information on lunch schemes have been collected through a combination of interviews including web surveys, telephone interviews and direct interviews with municipalities and institutions. Validation primarily consist of re-contact with the municipalities and institutions in question., Read more about statistical processing, Relevance, The survey can be used for comparison across lunch-schemes in municipalities. It can further be used by parents to assess who is arranging lunch-schemes in the municipality where their children goes to day-care institution. These statistics are compiled on the basis of an agreement between the Ministry of Children and Social Affairs and Statistics Denmark. , Read more about relevance, Accuracy and reliability, There is uncertainty in the with few answers from the day-care facilities . Such errors are not systematically and have little effect to the accuracy. The accuracy might further be affected by not representing all day-care facilities in Denmark. The elimination of day-care facilities in the data processing and the limits to the survey design implies that some day-care facilities are missing in the data., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are initially published on 30 November 2018 with figures for 2018. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics are comparable between municipalities. These statistics have so far only been produced for the year 2018. Comparability over time is thus not yet possible., Read more about comparability, Accessibility and clarity, The statistics are published on Statistikbanken under Institutions in the tables FROK2 and FROK3., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/lunch-schemes-in-daycare-institutions--discontinued-

Documentation of statistics

Documentation of statistics: Health Insurance Statistics

Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Health Insurance Statistics 2024 , Previous versions, Health Insurance Statistics 2023, Health Insurance Statistics 2022, Health Insurance Statistics 2021, Health Insurance Statistics 2020, Health Insurance Statistics 2019, Health Insurance Statistics 2018, Health Insurance Statistics 2017, Health Insurance Statistics 2016, Health Insurance Statistics 2015, Health Insurance Statistics 2014, Health Insurance Statistics 2013, These statistics focus on the consumption of health care services within the primary public health care sector . The statistics are based on annual extracts from LUNA, which is the IT system used by the regions to settle accounts for health services with the individual providers (e.g., physicians, dentists, etc.). The statistics have been compiled since 1986 but are comparable from 2006 onwards., Statistical presentation, The statistics cover visits to general practitioners and healthcare providers under the national health insurance. The statistics include the number of contacts, the associated fees, and the number of recipients., Read more about statistical presentation, Statistical processing, Data is received once a year from the Regions. It is assessed which services can be classified as contracts. Individuals with invalid CPR numbers are not included in the statistical tables. Corrections that cannot be associated with a registration in the respective year are deleted. Data is linked with background data from Statistics Denmark., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, including public institutions, researchers, private individuals, and journalists. These users utilize the statistics for various purposes, including public planning, research, and public debate., Read more about relevance, Accuracy and reliability, The data come from administrative registers with full coverage. Each year, Statistics Denmark manually categorizes the services in the public health insurance system as contacts. This affects the calculation of the number of contacts and the number of individuals with contacts., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 5-6 months after the end of the year. The punctuality is high., Read more about timeliness and punctuality, Comparability, Sundhedsdatastyrelsen produces statistics on general practice, specialist practice, and other practices. Delimitations and definitions of contacts (or the use of services instead of contacts) can result in statistics that may not appear directly comparable. Typically, any - often minor - differences could be explained by methodology and delimitation. The overall picture is clear, Read more about comparability, Accessibility and clarity, Nyt fra Danmarks Statistik and , Statbank Denmark, Annual publications (selected sections): Statistical Ten-Year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-insurance-statistics

Documentation of statistics

Documentation of statistics: Aviation

Contact info, Short Term Statistics, Business Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Aviation 2025 , Previous versions, Aviation 2024, Aviation 2023, Aviation 2022, Aviation 2021, Aviation 2020, Aviation 2019, Aviation 2018, Aviation 2017, Aviation 2016, Aviation 2015, Aviation 2014, The aviation statistics sheds light on investments in the airports' infrastructure and on the development of transport of goods and passengers through Danish airports. The present aviation statistics were established in 1997. Previously aviation statistics were published only in summary form in the , Statistical Yearbook., Statistical presentation, The Aviation statistics describe annually investments in the infrastructure and quarterly and annually the development in air transport of passengers and goods through Danish airports. Statistics are compiled for domestic and international flights and subdivided into scheduled flights, non scheduled flights (charter and taxi flights) and other flights. Quarterly figures on passengers are seasonally adjusted., Read more about statistical presentation, Statistical processing, Data from the Danish Transport Authority are wholly covering the population and no imputation is made. Data on passengers are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, the air ports themselves, ministries, etc. and it is therefore the impression that the statistics are relevant to users., Read more about relevance, Accuracy and reliability, The aviation statistics is based on an exhaustive census, i.e. there is no sampling errors and total error in the final statistics is assessed to be very small., Minor revisions do occur after first publication but the statistics are generally correct., Read more about accuracy and reliability, Timeliness and punctuality, Statistics Denmark publishes quarterly data approximately 50 days after end of reference period., Data are always published at the scheduled and announced time of publication., Read more about timeliness and punctuality, Comparability, There is a consistent time series dating back to 1990. Data are wholly comparable with statistics from other countries within the European Statistical System, ESS., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Transport, and , Infrastructure, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/aviation

Documentation of statistics

Hosted server

A hosted server solution gives your institution the possibility of having your own server located at Statistics Denmark. In this way, you have the full server capacity at your disposal and leave the operational service to Statistics Denmark., Read about prices, terms and requirements to IT equipment for hosted servers (pdf, in Danish), Which operating system is included?, A hosted server gives you the chance to use operating systems, such as:, Microsoft Windows Server 2022 (or as arranged, another version) incl. licenses for both Windows Server and RDS CALs, licensed ”per user” or per device., Linux Ubuntu 24.04 Long-Term Support (LTS)., Microsoft Windows 11 Enterprise (note that most hardware suppliers do not support this on server models)., Virtualisation: Vmware (e.g. vSphere, ESXi, Server, Player Plus) and Microsoft HyperV only for local execution in Statistics Denmark and only by special arrangement., You will be paying for all costs in connection with acquisition, installation, dismounting, removal, repair, service and error correction of hardware as well as software. Statistics Denmark takes care of the installation of operating system and programmes., How to get a hosted server, Step 1: Ordering data at Denmark’s Data Portal, Before you can order a hosted server with Statistics Denmark, you need to make an appointment with Denmark’s Data Portal regarding delivery of data to your research project., Step 2: Operating agreement with Statistics Denmark’s Service Desk, When you have made an agreement with Denmark’s Data Portal regarding delivery of data, you must contact Statistics Denmark’s Service Desk for the purpose of drafting an operation agreement. This must be approved by you and Statistics Denmark before the server creation can start. As part of the operation agreement, you and Statistics Denmark each appoint one contact person., Step 3: Server creation by Statistics Denmark’s Service Desk, When the operation agreement has been approved by you and Statistics Denmark’s Service Desk, the server creation can be initiated., Statistics Denmark performs installation and mounting of operating system and programmes. However, you will be paying for all costs associated with it, as well as with dismounting, removal, repair, service and error correction of both hardware and software.

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