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Documentation of statistics: Protected buildings and ancient monuments

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Protected buildings and ancient monuments 2024 , Previous versions, Protected buildings and ancient monuments 2022, Protected buildings and ancient monuments 2021, Protected Buildings and Ancient Monuments 2020, Protected Buildings and Ancient Monuments 2019, Protected Buildings and Ancient Monuments 2018, Protected Buildings and Ancient Monuments 2017, Protected Buildings and Ancient Monuments 2016, Protected Buildings and Ancient Monuments 2015, Protected Buildings and Ancient Monuments 2014, The purpose of the statistics is to provide a comprehensive overview of the Danish protected buildings and ancient monuments, including new protections and de-protections. Data for protected buildings are from 2012 and data for protected ancient monuments are from 2010. Buildings in Denmark have been protected since 1918. , Statistical presentation, The statistics show the number of protected buildings and ancient monuments, including distribution of protected buildings by provinces of the country and construction year in 50 year ranges. The statistics also show the number of new protections and de-protections., Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing., Read more about statistical processing, Relevance, The users include municipalities, organizations and students. There is not carried out a user satisfaction survey to the statistics., Read more about relevance, Accuracy and reliability, The registration in the register of both listed buildings and ancient monuments is done manually and with a certain delay in relation to the decision of conservation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in mid-February and are usually published in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, There are no reservations regarding comparability over time., Read more about comparability, Accessibility and clarity, The statistics are published in the (StatBank Denmark) (http://www.Statbank.dk)., Tables: KFRED1: Protected buildings by region, type of building and year of construction. KFRED2: Protected ancient monuments by region and farm category. KFRED3: New protections and de-protections by unit and region., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/protected-buildings-and-ancient-monuments

Documentation of statistics

Documentation of statistics: Board members and managers

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Board members and managers 2024 , Previous versions, Board members and managers 2023, Board members and managers 2022, Board members and managers 2021, Board members and managers 2020, Board members and managers 2019, Board members and managers 2018, Board members and managers 2017, The purpose of the statistics is to give a coherent and consistent description of the structure and development among members of board and management in enterprises. The statistics was first published for the reference year 2017. With the publication of the statistics for the reference year 2022, a revised time series was created retrospectively back to and including the reference year 2019., Statistical presentation, The statistics of board members and managers shows active members in board and management of active enterprises in Denmark. It includes the private sector and all activity codes, but is limited to shareholder companies, Limited Liability Companies and entrepreneurship companies., Read more about statistical presentation, Statistical processing, The statistics combines multiple statistical registers from Statistics Denmark regarding population and enterprises. The statistics covers members of active enterprises in Denmark, in the private sector with the types shareholder company, limited liability company and entrepreneurship company. Entrepreneurship companies are only included until the reference year 2021, where the company type ceases to exist entirely, Read more about statistical processing, Relevance, The statistics are relevant for analyses of members in the boards and managements in the Danish enterprises. Central users are: Ministries, business centers, regions, municipalities, private enterprises and private persons., Read more about relevance, Accuracy and reliability, The uncertainty associated with the statistics is linked to uncertainty from the administrative sources of statistics. Enterprises have an obligation by law to self-report information. The Business Authorities can ultimately close companies who does not apply to legislation. Statistics Denmark have no possibility to control data, but asses on basis of this fact, that the uncertainty is limited in scope., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published each year but the publication month can vary. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The statistics is comparable to the Generel Enterprise statistics under the same delimitation of type of enterprise and sector. , Since the reference year 2022, the statistics has been revised retrospectively to the reference year 2019 and is not comparable to the former time series spanning the period 2014-2021. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Board embers and managers, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/board-members-and-managers

Documentation of statistics

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

Documentation of data

Denmark’s Data Safari, Denmark’s Data Safari is a function that allows you to explore the data that you can order via DDP App. This is data documentation from Statistics Denmark’s Databank of basic data and data from other sources that you can order via DDP App. You can search for registers and e.g. find information on latest reference date and next expected update. You can also search for variables and find descriptions of variables. Note that the Data safari does not give you access to data, it is simply a way for you to get an idea of the data that you can request as a user., Go to Denmark’s Data Safari, High-quality documentation, High-quality documentation is an extension of the existing documentation in Statistics Denmark, including the documentation that you can find in Denmark’s Data safari. The extension element is the inclusion of the historic dimension in the documentation for the individual variable. In the historic dimension, any data breaches and validity periods are described and the population is indicated., For relevant variables, a graph and a table are attached. The same template for documentation is used for each variable., The high-quality documentation has been prepared in collaboration between Statistics Denmark and KOR (coordinating organ for register research). The quality control is carried out by external examiners appointed by KOR., Read more about the application of the high-quality documentation (pdf, in Danish),  , Go to the high quality documentation, More on variables, classifications and concepts , You can find more descriptions of Statistics Denmark’s data and variables on the page , Variables (in Danish), , and under , Classifications, , you can see the classifications/nomenclatures on which we found our statistical production. Finally, under , Concepts, , you can find the descriptions of common concepts and definitions. , Documentation of statistics, Statistics Denmark’s production includes more than 250 statistical products, which are organised into 17 subject groups., Each of the statistical products is described in the documentation of statistics, which provides an account of the content and quality under the following headers:, Administrative particulars about the statistical product, Contents, Time, Reliability and uncertainty, Comparability, Accessibility, Go to the Documentation of statistics, Statistiske Efterretninger, 'Statistiske Efterretninger' (statistical news) were released in the period 1909-2022. The series contains annotated and elaborate communication in text, figures and tables and consists of an old part of cross-disciplinary subjects (1909-1982) and a more recent part broken down by subjects and series (1983-2022). , Find 'Statistiske Efterretninger' under Historiske publikationsserier (in Danish)

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/dokumentation-af-data

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

BIL83: Families disposal of vehicles

unit, family type, pattern of availability and time
2000-2025 (Per cent)

https://www.statbank.dk/BIL83

Tables in StatBank

JORD2: Profit and loss accounts for full-time farms (average)

type of farm annual work units, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD2

Tables in StatBank