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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

Full register extraction for public institutions

Public institutions can order full register extraction for their projects – meaning all observations in the register – if they need it. This is a result of Denmark’s Data Portal wanting to give projects enhanced capabilities for running several iterations of populations, continuously quality assuring analyses and being more exploratory in data analyses., This enables the projects to:, create populations, create controls for populations created in , Denmark’s Data Portal, create sub-populations of basic data for enrichment of external populations, In the project proposal, the population must be described shortly and precisely (without technical terms, details or data specifications), and it must be documented who creates the population. We are happy to give you advice on which registers that could be necessary to order.,  , Examples of requests for full register extraction, ’The population consists of all senior-class pupils who left school between 2010 and 2020. We want to create the population ourselves.’, ’The population consists of patients with femoroacetabular impingement syndrome (FAIS) who have received hip arthroscopic treatment. Ten matching controls are created per case. We want to create the population ourselves.’, ’The population consists of all economically active persons in Denmark. We want to create the population ourselves.’, ’The population consists of pupils in primary and lower secondary school who have participated in our user satisfaction survey on public schools in Denmark. We want to create control populations ourselves and thus want a full population.’ , ‘The population consists of all retail businesses in Region Zealand. Statistics Denmark creates the population. We want to create control populations ourselves and thus want a full population.’, ’The population consists of all general medical practitioners and the rest of the population as control population. We want to create the population ourselves.’,  , Populations for external data providers , External data providers, such as the Danish Health Data Authority, may require a delimitation of the population. For example, this applies for access to the Danish pharmaceutical products database (LMDB). In these cases, you can still create the population yourselves, which Statistics Denmark will then forward to the Danish Health Data Authority or use for data extraction., If , Denmark’s Data Portal,  creates the population , If you do not have the resources to create populations or control populations, , Denmark’s Data Portal,  can carry out this type of assignment. This is done on the basis of a framework agreement., Read more about this process under Population description, Note: The facilitated access to full register extraction is a pilot project running throughout 2025.,  

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/fuldt-registerudtraek-til-offentlige-institutioner

Create association agreement and mail domains

As an administrator, you can create association agreements for users to your institution. It is only possible to create association agreements once the institution’s email domains have been registered in DDV App (see further down the page)., How to create an association agreement for users:, Click the tab ’My overview’ on your start page. Then select the institution where the user must be created., Click the tab ‘Associated users’. To the left of ‘Associated users’, you click the ‘+’ icon., Here you can add a pre-existing user by searching for the user, select the person and then click ‘Create association agreement’. If the user does not exist, go to step 5., Subsequently, a person responsible for authorisation or a substitute must approve the association agreement. This is done at the top of the institution under ‘Association agreements pending approval’., If the user does not exist, click the button ‘New user’. You must now complete the form with the correct information. If you choose a physical token, the user cannot be associated with the project until you have received the token by mail. Please note that physical tokens are only sent to addresses in Denmark., Press ’Create association agreement’. Denmark's Data Portal approves requests for new users on all working days., Once Denmark's Data Portal has given their approval, a person responsible for authorisation or a substitute must approve the association agreement. This is done at the top of the institution under ‘Association agreements pending approval’., If the person responsible for authorisation or the substitute wants to terminate an association agreement, he or she must click ‘My overview’ followed by ‘Institutions’. Then search for the name to find the relevant user, and click the three dots next to the user’s name. Click ‘Terminate’ to terminate the association agreement., Define the institution’s email domains, The responsible for authorisation or substitute defines which email domains the institution can approve. Please ensure that you only select domains that your institution controls., How to manage which email domains the institution can approve:, Click the tab ‘My Overview’ on your start page. Then select the institution for which you need to define email domains., Click the three dots next to the institution’s name and select ‘Manage domains’., Click the ‘+’ icon next to ‘Approved email domains’., Enter the domain name in the field next to ‘Register domain’. It is not necessary to register subdomains., Users with an email address belonging to an approved domain from another institution can be associated without registering their domain under your institution. Therefore, only register domains that your institution controls.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/opret-tilknytningsaftale-og-maildomaener

Documentation of statistics: Accounts Statistics for Aquaculture

Contact info, Food Industries, Business Statistics , Michael Brogaard , +45 51 62 70 89 , MIB@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Aquaculture 2023 , Previous versions, Accounts Statistics for Aquaculture 2022, Accounts Statistics for Aquaculture 2021, Accounts Statistics for Aquaculture 2020, Accounts Statistics for Aquaculture 2019, Accounts Statistics for Aquaculture 2018, Accounts Statistics for Aquaculture 2017, Accounts Statistics for Aquaculture 2016, Accounts Statistics for Aquaculture 2015, Accounts Statistics for Aquaculture 2014, Accounts Statistics for Aquaculture 2013, Accounts Statistics for Aquaculture 2012, The purpose of Account statistics for aquaculture is to show the economy in the Danish aquaculture sector. The statistics is used to monitor the economic development and to compare economic key figures from different farm types. The statistics was first made in 2004 and is comparable in its current form since 2017., Statistical presentation, The Account statistics for aquaculture is an annual estimation of the production value and costs, results, assets and liabilities and investments of the aquaculture sector in Denmark., Read more about statistical presentation, Statistical processing, Data for this statistics are collected yearly from the aquaculture companies' chartered accountants using an electronic accounting form. The collected accounts (the sample) are thoroughly tested, and possible errors corrected in cooperation with the reporting accountant. When all accounts are approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample., Read more about statistical processing, Relevance, The statistics is used by the fish farmers and their organization, Danish Aquaculture, as well as authorities and legislators. The statistics is used in economic models and as a basis for yearly economic statistical reports for aquaculture to EU (DG Mare)., Read more about relevance, Accuracy and reliability, The statistic is based on a sample, hence the results are uncertain. The aim is to include the biggest companies in the sample, and that 75 per cent of gross revenue is covered by the sample. There are no planned revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the reference year., Read more about timeliness and punctuality, Comparability, The statistics is comparable from 2004 to present. All EU member states submit statistics to the , Directorate-General for Maritime Affairs and Fisheries, . Hence, it's possible to make comparisons within the EU. The Danish Fisheries Agency publish a Structure and production statistics for the profession., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release and in the StatBank under , Aquaculture, . For more information please see the , subject page, for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-aquaculture

Documentation of statistics

DNVPDKU: VP-registered securities

type of security, issuer sector and time
1999M12-2025M11 (m DKK)

https://www.statbank.dk/DNVPDKU

Tables in StatBank

JORD1: Profit and loss accounts for all farms (average)

type of farm region standard output, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD1

Tables in StatBank

LABY36A: 20 year-olds upper secondary school (share in per cent))

municipality groups, educational graduation statement and time
2008-2024 (Share in per cent)

https://www.statbank.dk/LABY36A

Tables in StatBank

Scheduled Releases

Postponed releases, The following Statbank Denmark tables regarding , Roads, scheduled for release 30-01-2026 have been postponed until 27-02-2026: VEJ2, Select filtering, Subject group, All subjects, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, About Statistics Denmark, Subsubject, All subsubjects, Absence and labour disputes, Accommodation and travel, Adult education and continuing training, Agriculture, horticulture and forestry, Area, Balance of payments and international trade, Business economy, Business tendency surveys, Construction, Consumption, Crime and justice, Cultural heritage, Democracy, Digital behaviour and cultural habits, Digital payments, Education, economy and employment in the cultural field, Educational pathways, Educational status of the population, Employment and unemployment, Energy consumption and energy prices, Environmental-economic accounts, Film and theatre, Financial markets, Financial sector, Fishery and aquaculture, Full-time education programmes, General government economy, Goods transport, Health, Households and family matters , Housing, Income and earnings, International enterprises, Labour market status of the population, Libraries, Living conditions, Manufacturing industries, Means of transport, Migration, Museums and zoos, Music, Names, National accounts, National church, News media and literature, Organic production and trade, Passenger transport, Persons on public benefits, Population, Price index, Property, Publications, Research, development and innovation, Service sector, Social support services, Sports, Structure of business, Trade, Traffic accidents, Traffic and infrastructure, Wealth, Udgivelsestype, All releases, News from Statistics Denmark, StatBank tables, Publications, Analysis, Periode, Today, 8 days, 1 month, 3 months, 6 months, 1 year, Showing 1 to 58 of 58,  , Delayed releases

https://www.dst.dk/en/Statistik/planlagte

LIGELI2: Gender equality indicator of gender pay gap

indicator, occupation, age and time
2010-2024 (Per cent)

https://www.statbank.dk/LIGELI2

Tables in StatBank

Documentation of statistics: Home to work commuting

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Home to work commuting 2024 , Previous versions, Commuting 2016, The statistics measure commuting between place of residence and workplace within Denmark, including the distances between commuters’ homes and workplaces. Commuting statistics viewed as commuting between municipalities can be compiled from 1980 onwards. The distance between home and workplace was first calculated in 2006. The statistics are comparable in its current form from 2008 onwards., Statistical presentation, The statistics provide an annual, individual-based account of employed persons’ commuting between place of residence and workplace on the last working day of November. The distance between commuters’ home and workplace is also calculated in kilometres (km). The commuting statistics are published the StatBank, where the data can be distributed on place of residence, workplace, commuting distance, gender, industry (DB07), and socio-economic status., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is compiled taking a snapshot (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistics are based on the Register-Based Labour Force Statistics (RAS), which are used to describe the population’s attachment to the labour market. RAS is compiled from a wide range of data sources that are integrated, error-checked, and harmonised within the labour market accounts. RAS is produced as a snapshot at the end of November based LMA. Therefore, RAS does not carry the same level of uncertainty as statistics based on sample surveys., It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, Commuting statistics for commuting between municipalities are published approximately 11 months after the reference date. Commuting distances are published approximately 17 months after the reference date. , Read more about timeliness and punctuality, Comparability, The statistics can be compiled from 1980 and are comparable from 2008 onwards. Historically, there have been various data breaks in the RAS statistics, which are described in the statistical documentation for RAS., Read more about comparability, Accessibility and clarity, In the StatBank the statistics is published can be found under the subject , Home to work commuting, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

Documentation of statistics