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Documentation of statistics: Enterprise Groups in Denmark

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2023 , Previous versions, Enterprise Groups in Denmark 2022, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

Documentation of statistics

Documentation of statistics: Foreign Owned Enterprises

Contact info, Business Dynamics, Business Statistics , Asbjørn Hviid Mikkelsen , +45 29 42 68 36 , AHM@dst.dk , Get documentation of statistics as pdf, Foreign Owned Enterprises 2023 , Previous versions, Foreign Owned Enterprises 2022, Foreign Owned Enterprises 2021, Foreign Owned Enterprises 2020, Foreign Owned Enterprises 2019, Foreign Owned Enterprises 2018, Foreign Owned Enterprises 2017, Foreign Owned Enterprises 2016, Foreign Owned Enterprises 2015, Foreign Owned Enterprises 2014, Foreign Owned Enterprises 2013, Foreign Owned Enterprises 2012, The purpose of the statistics foreign-owned enterprises is to show the number of foreign-owned enterprises in Denmark and how this number develops over time. The statistics were compiled with the first reference year 2000 and is comparable from 2019 onwards. First as a pilot project and subsequent regulation determined in connection with the implementation of the Regulation (EC) No 716/2007 of The European Parliament and of The Council of 20 June 2007 on Community statistics on the structure and activity of foreign affiliates., Statistical presentation, The statistics analyze the ownership country in terms of land for the ultimate owners. Statistical data contain country of the ultimate owner and selected variables taken from the General enterprise statistics such as turnover, number of employees and number of enterprises., Read more about statistical presentation, Statistical processing, Information from the National Bank, the companies official accounts, commercial registers, the Business Register and other sources used to update the population of foreign-owned firms. There also used information from the General Enterprise statistics., Read more about statistical processing, Relevance, Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, journalists, students., Read more about relevance, Accuracy and reliability, The foreign-owned companies include only those it has been possible to find using above sources. There may therefore be more foreign owned enterprises than those included in the statistics of foreign owned enterprises and this may affect the statistics overall precision and reliability. There is no uncertainty calculations. One source of uncertainty is that there may be more foreign-owned enterprises than those included in these statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once a year. The statistics are usually published about 20 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics have been republished for the period 2019-2021 with a new activity limit that includes economically active companies and with more economic units that have been implemented in the General Enterprise Statistics. Several industries are affected by this. There is thus no direct comparability with the previous time series covering the period 2000-2021. , The statistics supplement the General Enterprise Statistics with information on foreign-owned enterprises., Every year figures are submitted to the statistical office of EU, Eurostat. This includes special industry aggregates, not published nationally. , Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, (only in Danish) and , Statbank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/foreign-owned-enterprises

Documentation of statistics

Documentation of statistics: Danish Foreign Affiliates

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Danish Foreign Affiliates 2024 , Previous versions, Danish Foreign Affiliates 2023, Danish Foreign Affiliates 2022, Danish Foreign Affiliates 2021, Danish Foreign Affiliates 2020, Danish Foreign Affiliates 2019, Danish Foreign Affiliates 2018, Danish Foreign Affiliates 2017, Danish Foreign Affiliates 2016, Danish Foreign Affiliates 2015, Danish Foreign Affiliates 2013, Danish Foreign Affiliates 2012, The purpose of the statistics Danish Foreign Affiliates is to shed light on the Danish companies activities abroad through its controlled affiliates. Hence the statistics contributes considerably to the description of globalization, which is increasingly important to the development of the Danish economy and society. The statistics are comparable from 2007 onwards., Statistical presentation, This statistic is a yearly statistic, covering foreign affiliates (outside of Denmark) owned or controlled by parent companies in Denmark. The statistic measures the number of foreign affiliates as well as the number of employees, with breakdowns by activity and country of location., Read more about statistical presentation, Statistical processing, Data is collected annually via questionnaire in a census survey of all companies in Denmark that own or control affiliates abroad. Data is validated, both during and after data collection, to ensure a high data quality of data for the statistic., Read more about statistical processing, Relevance, The primary users of the statistics are ministries and other public institutions, and international organizations such as OECD and the European Commission. In addition the users cover news media, various industrial organizations and others with interest in globalization and the involvement abroad by Danish companies., Surveys on the users level of satisfaction have not been carried out, but users of the statistics express that they are satisfied with the statistics and its value., Read more about relevance, Accuracy and reliability, The survey result is based on submission of data from all relevant Danish parent companies with foreign affiliates. Any sample techniques and/or active use of thresholds have not been implemented. Thus the number of parent companies in the survey is approx. 5.000 and the number of foreign affiliates is approx. 15.000., It is estimated that missing values/data submissions in the survey have a insignificant impact on the statistical value., Read more about accuracy and reliability, Timeliness and punctuality, Danish foreign affiliates statistics is published approx. 14 months after the end of the calendar-year. The statistical information is collected in between June and November. Danish foreign affiliates is made public without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, This survey is also carried out in other European countries. Due to different approaches one cannot directly compare the results published in Denmark with the figures in Eurostat's database. The results published in Denmark cover all enterprises in Denmark that own/control foreign affiliates, regardless of ultimate controlling country. The figures in Eurostat solely cover enterprises that have the compiling country as ultimate controlling country., 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 the subject , Danish Foreign Affiliates, . For further information, go to the , International enterprises, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-foreign-affiliates

Documentation of statistics

Documentation of statistics: Purchase of prescription drugs

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, Purchase of prescription drugs 2024 , Previous versions, Sale of prescription drugs (experimental Statistics) 2021, The aim of the statistics "Purchase of prescription medicine" is to elucidate the population’s purchase of medicines via prescription. The statistics can be used to get insight into the distribution of redeemed prescriptions in relation to type of medicine, gender, age, geography and social conditions., Statistical presentation, The statistics "Purchase of prescription medicine" contain information on all sales of human medicines in Denmark, which took place via prescription. The statistics also cover the sale of medicines that do not require a prescription but are sold on prescription. Sales are calculated in relation to the number of people who have redeemed a prescription, the number of prescriptions redeemed and number of redeemed prescriptions per citizen. The statistic covers the period from the 1st of January 2016 to the 31st of December 2024. , Read more about statistical presentation, Statistical processing, Source data comes from the Danish Health Data Agency, which once a month calculates all sales of human and veterinary medicines in Denmark, after they have validated and quality checked the data., The sales are compiled on an annual basis and linked with selected personal information from Statistics Denmark’s registers, including users’ gender, age, geography, and education., Read more about statistical processing, Relevance, The statistics can be used by ministries and other public authorities for ongoing monitoring of the population’s redemption of prescriptions. Researchers can use the statistics as a proxy for morbidity and developments over time, while the general public can use the statistics for general information on pharmaceutical consumption in Denmark., Read more about relevance, Accuracy and reliability, Pharmacies are required by law to report data to The Danish Health Data Authority, but source data only cover sales of human medicines via prescription. This does not necessarily mean that the person who bought the medicine has taken the medicine. At the same time, the statistics do not contain information on the purchase of medicines without a prescription and it does not contain information about medicines used in hospitals or in medical practices. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published in January 2025. Future releases are expected to be published in November., Read more about timeliness and punctuality, Comparability, Several comparable national and international statistics exist about the consumption of medicines. There are several factors that can influence the sales of prescription medicine. Regulations of witch medicines that require prescription and the amount of subsidies offered by the authorities, can vary from country to country and over time. Therefore it is important to be observant of these factors, if the statistics is used to evaluate the consumption of medicine over time or to compare consumption from country to country., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statictics Denmark, . In StatBank Denmark, the statistics are published under the topic , Consultations of physicians, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-prescription-drugs

Documentation of statistics

Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions, Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

Documentation of statistics

Documentation of statistics: Labour Market Account

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

Documentation of statistics

Documentation of statistics: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Statistics on the Danish national grid

Analyse geographical areas with the Danish national grid, The Danish national grid, which was established by Statistics Denmark and the Danish Geodata Agency, divides the country into thousands of cells, which can be filled with statistics. You can then analyse and aggregate the information in the grid e.g. for use in market analyses, for local planning or for research., Detailed content that is stable over time, The grid is stable over time, unlike administrative divisions such as municipalities, postcodes and parishes. We provide data on grid cells as small as 100 x 100 meter. Provided our requirements for non-identification of individuals or companies can be met (Privacy Requirements). Contact us if you need a different cell size., Below you can see an example of statistics on the grid. The map shows how many people live within each square kilometer (text in Danish only)., Number of inhabitants by 1 square kilometer cells, Attach population statistics to the cells, Statistics Denmark offers several types of statistics on the Danish national grid e.g. by municipalities, regions or the entire country., Statistics on the nighttime population, Here you will find information on the number of households and persons residing within the cells., Documentation - nighttime population, Table example - nighttime population., Statistics on the daytime population, Here you will find information about the number of people staying in the cells during the daytime. You can order two different datasets - one with the number of people in employment and one with the number of students., Documentation - daytime population - employed, Table example - daytime population - employed, Documentation - daytime population - studentst, Table example - daytime population - students, Statistics by other variables, Here you get statistics on the people who reside in the cells of the grid distributed by a number of variables for you to choose. See the overview and read more about standard variables in the documentation document below., List of variables - the Danish national grid, Prices, The Danish National Grid does not cost anything in itself. However, you can find the detailed price list for deliveries of statistics on the grid here:, Pricelist_National_Grid_2026 - English, Privacy Requirements, If you buy statistics from us, we are very careful to comply with the so-called discretionary - or privacy requirements. In practice, this means that we require a certain minimum number of households in each grid cell. The requirements are either 50, 100 or 150 households, depending on the statistical variable you have selected. Cells with a smaller number of households than the minimum requirement must be aggregated with other cells before statistics can be delivered. The merged cells are called clusters. You can read more about how we produce clusters here:, Fact Sheet about clusters, Fact sheet about clusters, You can find the requirements for number of households in the list of variables below:, List of variables - the Danish national grid, Ordering, To order statistics on the Danish National Grid, please click on the button below and fill out the form. We will then prepare an offer that you must approve., ORDER, Contact information, DST Consulting, tel +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics based on distances or neighbourhoods, Statistics based on roads and streets,  

https://www.dst.dk/en/TilSalg/produkter/geodata/kvadratnet

Contact Denmark’s Data Portal

You can contact Denmark’s Data Portal by email or call during our opening hours. In the drop-down menu below, you can find contact information depending on the nature of your inquiry., IT-support for remote login, servers or other IT issues, If you need help with remote login, servers or other IT problems, you can contact IT-support., Phone: +45 39 17 38 00, Opening hours:, Monday-Thursday: 8:30-16:00, Friday: 8:30-15:30, Mail:, servicedesk@dst.dk, Denmark’s Data Portal Support, If you have questions about Statistics Denmark’s microdata schemes, user access, or the process of ordering data via the DDP App, you can contact Denmark’s Data Portal Support on weekdays. Please note that we do not transfer calls to individual staff members., The hotline is currently closed due to technical issues. Please contact Denmark’s Data Portal Support via mail., Find answers to the most frequently asked questions about the DDP App here, Phone: +45 39 17 31 30, Opening hours:, Monday-Friday: 10:00-12:00, Mail:, danmarksdatavindue@dst.dk, Mails are answered within two working days., Error support for the DDP App, If you experience technical problems or errors in the DDP App, you can contact DDP App Support., DDP App Support will be closed from Monday, December 22nd through Friday, January 2nd., Mail:, ddvsupport@dst.dk, Inquiries about project proposal in the DDP App, If your inquiry is about a project proposal in the DDP App, you can contact the project owner at Statistics Denmark (SD). You can find the project owner in the DDP App under ’about the project’. If the project has not been assigned a SD project owner, you can contact Denmark’s Data Portal Support., Read more about how to order data in the DDP App here , Inquiries about authorisations, If you have questions regarding applications for authorisation or client authorisation, please write to the mail below. , Mail:, fseautorisation@dst.dk, Read more about authorisation of institutions here, Inquiries about rules and data security, If you have questions regarding rules for working with microdata, including rules on transfer of analysis results and sanction rules, please write to the mail below., Mail:, fsehjemtag@dst.dk, Read more about rules and data security here, Inquiries about physical tokens, For inquiries regarding physical tokens, please write to the mail below., Mail:, les@dst.dk,  , Delivery times in Denmark’s Data Portal, At Denmark’s Data Portal, we process your inquiry/task as quickly as possible, and all inquiries/tasks are processed in the order they are received., The current delivery times are as follows:, From your first inquiry to the delivery of data, the average processing time is about 21 days., From contract signing/price approval to delivery, the average processing time is 12 days.,  ,  ,  

https://www.dst.dk/en/TilSalg/data-til-forskning/om-danmarks-datavindue/kontakt-danmarks-datavindue

Prices and Pricing Policy

GENERAL PRINCIPLES, Statistics Denmark is the central producer of statistics in Denmark. The costs of carrying this obligation as an authority are covered by the Danish Finance Act. The data stored and collected by Statistics Denmark can also be used to compile other sets of statistics than those, which we are obliged to publish. Basically, we charge for finding figures and for compiling new sets of statistics beyond our obligations as an authority., The general principle is for the price to cover the costs of performing an individual service. In addition, the price must contribute to cover any costs associated with preparing data for special runs of any kind. When calculating the price of a service, we distinguish between standard products and customised solutions., Statistics Denmark’s pricing is subject to the rules on externally funded activities in the public sector (i.e. pricing must be on a cost recovery basis) and is checked by the National Audit Office of Denmark. Income and costs must balance, and the income from services must not be used to fund the obligations of the authority. The financial balance is continuously monitored across a four-year average. , PRICES OF STANDARD PRODUCTS, Standard products are a number of statistical records that are used to accommodate a high demand for a specific set of statistics. Standard products enable us to quickly provide data at low cost and with high efficiency. , The price for providing standard products is determined in price lists for the individual product. The price covers the direct costs for development and operation., Product overview (standard products), PRICES OF CUSTOMISED SOLUTIONS, Customised solutions involve data that we adapt to the customer’s individual requirements, e.g. special geographical breakdowns, very detailed statistics, or combinations of variables that have not been made public., Learn more about customised solutions, The price of a customised solution is calculated on the basis of the time spent solving the task, and the number of hours is then multiplied by an hourly rate for services., The hourly rate for services is calculated each year according to the rules on externally funded activities and according to the rules about balance in the financial year and requirements that all costs associated with providing the service must be covered., The hourly rates are based on the development of earnings, overheads (e.g. costs of IT, invoicing systems, etc.), hours that are not directly invoiceable (e.g. answering mails and meetings with potential customers) and costs for development and enhancement of the externally funded activities. , Hourly rate for services: DKK 1,476.00 exclusive of VAT (1,845.00 including VAT)., The hourly rates are based on expectations to the development of earnings, overheads, volume of externally funded activities, number of hours spent on products, and development costs for improvement of externally funded activities., With the current hourly rate, we anticipate income and costs to break even for the externally funded activities, also taking the profits and losses of previous years into account. , CONTRACTS, Statistics Denmark has the established practice of using standard contracts providing the customer with an overview of the agreement or agreements we enter. The contract includes e.g. a description of the content in the delivery, a clarification of delivery times, clarification of data rights, price and any special conditions regarding copyright etc. Together with the contract, you will also receive Statistics Denmark’s , general terms and conditions of agreement, , covering the responsibilities of Statistics Denmark, rules about disclosure of the provided material, terms of payment etc., Statistics Denmark’s business conditions, DATA PROCESSOR AGREEMENTS, In cases where Statistics Denmark performs services that involve processing of our customers’ data, e.g. personal data, we must draw up a so-called data processor agreement by which the customer is the data controller and Statistics Denmark is the data processor. Learn more about our , data processor agreement, .

https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/priser-og-aftalevilkaar/prispolitik