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All types of overnight accommodation

These statistics cover the millions of overnight-stays that Danish and foreign guests have at hotels, holiday centers, hostels, campgrounds, as well as holiday homes and marinas in Denmark each year. , Introduction, The statistics are published monthly and annually., The category hotel and holiday centers also include motels, inns, guest houses, holiday centers and hostels. The monthly hotel statistics are calculated from reporting from hotels etc. with at least 40 beds, while the yearly statistics also include reports from hotels etc. with at least 10 beds., The monthly camping sites statistics are calculated from reporting from camping sites with a capacity of at least 75 guests per night, while the yearly statistics include all camping sites with a capacity of at least 10 per night., The statistics for marinas are voluntarily reported between May and September., Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights spent at hotels, holiday resorts and youth hostels, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Overnight stay by region, period, nationality of the guest, type of overnight accommodations and time, Unit: , Number, 2025, 2026, All Denmark, Year to date, Total, All types, 4,471,306, 4,685,519, Hotels, 2,169,711, 2,343,798, Holiday resorts , 536,132, 590,884, Camping sites, 222,927, 210,620, Youth hostels, 286,787, 269,419, Marinas, 0, 0, Holiday cottages, 1,255,749, 1,270,798, Denmark, All types, 2,629,632, 2,708,346, Hotels, 1,348,426, 1,449,513, Holiday resorts , 474,103, 500,629, Camping sites, 183,261, 168,100, Youth hostels, 119,451, 88,853, Marinas, 0, 0, Holiday cottages, 504,391, 501,251, World outside Denmark, All types, 1,841,674, 1,977,172, Hotels, 821,285, 894,285, Holiday resorts , 62,029, 90,255, Camping sites, 39,666, 42,520, Youth hostels, 167,336, 180,566, Marinas, 0, 0, Holiday cottages, 751,358, 769,546, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Related content in All types of overnight accommodation, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/samlede-overnatningsformer

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Aquaculture

Structure and production describes the different production facilities and the production of fish from aquaculture. Account statistics for aquaculture describes the economy of the Danish aquaculture, deriving from the accounts from the production facilities. , Introduction, Structure and production describes the number of different production facilities and the production of fish by main species., Account statistics for aquaculture describes the economy by farm types, Traditional farms, recirculated farms, Sea farms, Eel farms and shellfish farms. Approximately 230 farms are commercially active in Denmark; most of the farms are traditional land based fish farms., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Account Statistics for Fishery, Accounts Statistics for Aquaculture, Key figures, In Statbank Denmark, you can find more data on Accounts statistics for aquaculture (AKREGN1), Accounts statistics for aquaculture by unit, time, items and farm type, All farms, Traditional farms, Farms with low recirculation degree , Farms with medium recirculation degree, Farms with high recirculation degree, Sea farms, Total, 2024, Q.1 Population, units, 173, 57, 24, 18, 23, 19, Q.2 Sample, units, 76, 15, 13, 11, 14, 11, A.1 Operative assets, beginning of year, 1000 DKK, 1,602,811, 394,830, 188,487, 232,883, 255,285, 486,968, A.9 Electricity, mWh, 75,353, 13,815, 9,950, 19,394, 30,896, 1,286, B PRODUCTION, TONNES, 53,000, 6,729, 4,892, 9,382, 13,190, 11,537, D GROSS OUTPUT, 1000 DKK, 1,746,519, 260,261, 162,700, 276,934, 508,380, 510,273, E COSTS, 1000 DKK, 1,635,898, 234,321, 158,757, 243,273, 493,595, 480,730, G FINANCIAL EXPENDITURES, 1000 DKK, 26,971, 10,262, 5,212, 1,097, 8,473, 1,096, H NET PROFIT, 1000 DKK, 83,650, 15,678, -1,269, 32,563, 6,312, 28,447, M ASSETS, END OF YEAR, 1000 DKK, 1,744,206, 411,818, 242,863, 222,469, 285,729, 538,667, O NET CAPITAL, BEGINNING OF YEAR, 1000 DKK, 536,836, 79,104, 22,314, 67,925, 7,660, 334,505, In Statbank Denmark, you can find more data on Accounts statistics for aquaculture (AKREGN1), Related content in Aquaculture, Tables in Statbank , Scheduled releases , Contact, Michael Brogaard, Phone: +45 51 62 70 89, Mail: , mib@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/fiskeri-og-akvakultur/akvakultur

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Denmark is number 1 in E-government

A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. , 23 November 2022 9:00 , , Denmark is one of the leading countries when it comes to E-government. A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. Denmark is also doing very well in the , OECD Digital Government Index, . The foundation behind today’s digital success story goes back more than 50 years. And over the years digitalization has massively affected how we perceive and produce statistics. , The journey towards administrative data, Recently Statistics Denmark had three different study visits on the use of administrative data. It gave us a possibility to revisit the story of administrative data in Denmark. Reflecting on the Danish journey it becomes clear that the story is not just one of administrative data but one of digitization of the entire Danish public sector and society. In statistics we usually define administrative data as data collected for other purposes than statistics., In Denmark the use of administrative data is built on the holy trinity of the Central Personal Register (CPR), the Building and Housing Register (BBR) and the Central Business Register (CVR) – all being interlinked using unambiguous identifiers. These identifiers are used consistently at all levels of government and by civil society., , Schematic overview of interlinked administrative data sources in Denmark., The 1960’s – building the basic registers, When the Central Personal Register (CPR) was established in 1968, it was not constructed in order for Statistics Denmark to have a short cut to generate basic population statistics on any chosen day. The possibility of having a daily population and housing census was more like an unexpected side benefit., The political driver behind the CPR was tax collection. In order to make businesses responsible for deducting income taxes before handing over the rest of the salary to their employees, the government in general – and the tax authority in particular – needed a unique identifier and the correct address of every Dane. Or rather they needed the address of everyone having permanent residence in Denmark., Due to the fact that both companies and real-estate in Denmark are heavily taxed, the two other registers soon followed. In terms of statistics, these main registers worked – and worked well. In the Danish administrative setup (Ministries, Agencies, Regions and Municipalities), the main identifiers were consistently used to build new administrative systems. Storing administrative information on subjects such as education, social benefits, health records, car ownership, housing and taxes allowed the government to keep exact records of services provided to the population. This stored information greatly eased “day to day” administration. The availability of the unambiguous identifier also ensured that social services can only be provided once. The benefits of having a complete list of citizens, companies and buildings encouraged government authorities to build their administrative systems using these identifiers as they allow the authorities to share information. , As the registers developed over the years, they allowed Statistics Denmark to produce nearly all social statistics using administrative data sources. This development was highly facilitated by the act on Statistics Denmark from 1966 which required all public administrative units to allow Statistics Denmark to access the raw individual data in their administrative systems., Advanced modelling of policy initiatives, In the 1980’s the Danish Ministry of Finance realized that the statistical registers at Statistics Denmark could be used to model the effects of proposed legislation. In the beginning, a 3% sample of the registers was used to keep the time for processing data to a minimum and thus affordable. Today simulations of proposed legislation or policy initiatives are based on the entire population. The work has been institutionalized under the so called “Legislative Model”. The Legislative Model is placed in a division in the Ministry of Finance and has access to micro data in an anonymized form. The Ministry of Finance has the same kind of access which pertains to authorized research institutions. This means that they can calculate the aggregates but cannot access the individual data. So it is possible for the Ministry of Finance to calculate that e.g. 2,345 people will be affected by a piece of legislation. But they cannot see who these people are. The access to data through Statistics Denmark’s means that the Ministry of Finance has a one-stop-shop for their data needs and do not have to collect data from other administrative units. This use of statistical registers was part of the vision behind the act on Statistics Denmark from 1966 as it also enabled Statistics Denmark to provide data access for modelling and research. , , Presentation of the Danish model for simulation of policy initiatives, By Nicolai Steinmetz Møller from the Danish Ministry of Finance., The 2000’s - a new push towards digitalization of the society, In the early 2000’s the Danish Ministry of Finance began to think in terms of digitization in the first instance understood as digital communication and later also as self-service. The journey can best be described as starting in 2001 when it was decided that citizens and companies could send e-mails to the public sector and they could communicate digitally. So starting that year civil servants had to read emails and interact electronically if the users wanted to. The push in the early 2000’s was initiated by the internet, which made electronic mail readily available as an easy way of communication. The computing power on the big expensive main frame computers was suddenly replaced by the personal computers bringing computers to the public., , Director Rikke Zeberg from the Confederation of Danish Industry briefs the Ghanaian delegation on Denmark’s Digital Journey. Rikke Zeberg was the first director of the Agency of Digital Government under the Ministry of Finance making her one of the main architects of Denmark’s Digital Journey. , The 2010’s - Companies must now both read and answer their e-mails, In 2011, the decision on electronic communication was reversed and companies and citizens alike were required to communicate with the government by email and the use of relevant self-services. In retrospect, the postal service in Denmark has always been considered so reliable that if a public authority mailed a letter, then people were considered as having been notified. , Now suddenly citizens did not have to look for letters from Statistics Denmark or the tax authority in their mailbox, but instead pay attention to and act upon mail delivered to a personal electronic mail box provided by the government. All interaction between companies and the government is now channeled through a one-stop-portal called virk.dk. Citizens can interact with the government and access all their information through a similar portal called borger.dk (citizens.dk. , The need for a digital signature and authentication, The physical mailbox next to the front door is considered to be secure when the postman drops a letter in it. However digital communication have more complex security issues. Access needs to be controlled and the identity of the recipient has to be verified. Strangely enough physical mail can be picked up and read by your partner from the mail box, but electronic mail must only be accessible to you - at least from the point of view of the government agency or the private company sending the mail. To solve this problem a digital identity and authentication is needed., As the CPR holds a complete list of all Danish citizens and people currently living in Denmark the register can be used as the foundation of a digital ID. The digital identity allows citizens and companies to interact electronically with each other and to legally sign documents. , The interesting thing about the digital identity, now in its third major edition, is that the solution behind the “identity” is a public private partnership owned by the government, regions, municipalities and banks. The public private partnership ensures that a common identity is used by both government and companies alike and that the service is competitively procured., The need for self-registration, The overarching question from all our visitors was: How do you make sure that people actually self-register and update their registrations in the Central personal Register? There are a multitude of answers: , First , of all people in general have a very high trust in the system, and , secondly, it is very difficult to live in Denmark if you do not keep you records updated, because our society is so data driven today. The , third, reason for keeping digital records updated is that both citizens and business can be fined if they do not keep their records updated., The Ghanaian delegation is briefed on digitalization at Health Care Demark in Odense, Through the Strategic Sector cooperation, The exchange visits on administrative data was organized under the Strategic Sector Cooperation initiative financed by the Danish Foreign Ministry and Statistics Denmark hosted delegations from Brazil, Morocco and Ghana. The exchange visits involved Digital Hub Denmark and Healthcare Denmark. Both are public private partnerships created to promote Danish experiences in digitalization in general and in healthcare and life science respectively to the rest of the world., Former Mister of Education and Research Morten Østergaard talks at the Digital Hub Denmark on how digitalization can support the green transition, . , As part of our work on administrative data we have developed a guide addressing some of typical “How to get started” questions. Get in touch with us if you want to learned more on how we see statistics through the lenses of admin data and digitalization., You can visit the two hubs online: , Digital Hub Denmark, , and , Health Care Denmark, . If you get in touch with them they are more than happy to tell you about Denmark’s digital journey. , , [KMH1]

https://www.dst.dk/en/consulting/news-from-international-consulting/2022/23-11-2022-Denmark-is-number-1-in-E-government

Home to work commuting

The commuting from home statistics show the total number of commuters and the distance of the commuting, and they are based on the home address of the commuter. , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Home to work commuting, Register-Based Labour Force Statistics, Key figures, Employed persons (end November) by time, commuting distance and sex, Unit: , Number, Total, Men, Women, 2024, Total, 3,135,965, 1,643,356, 1,492,609, No commuting, 181,310, 122,645, 58,665, Up to 5 km, 873,910, 403,868, 470,042, 5-10 km, 571,462, 280,091, 291,371, 10-20 km, 585,019, 297,655, 287,364, 20-30 km, 324,823, 170,563, 154,260, 30-40 km, 188,623, 103,724, 84,899, 40-50 km, 116,252, 68,137, 48,115, More than 50 km, 288,691, 191,496, 97,195, Unknown, 5,875, 5,177, 698, In Statbank Denmark, you can find more data on Employed persons (end November) (AFSTB3), Average commuting distance (end November) by socioeconomic status and time, Unit: , km, 2022, 2023, 2024, Employed total, 22.2, 22.5, 22.6, Self-employed, 19.0, 18.6, 18.5, Assisting spouses, 17.8, 16.3, 16.1, Employees, managers, 29.4, 29.5, 29.6, Employees - upper level, 22.5, 22.9, 23.1, Employees - medium level, 28.9, 29.3, 29.5, Employees - basic level, 20.8, 21.0, 21.0, Other employees, 18.8, 19.3, 19.7, Employees, not specified, 20.7, 20.7, 20.9, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTB4), Average commuting distance (end November) by time, socioeconomic status and sex, Unit: , km, Total, Men, Women, 2024, Employed total, 22.6, 26.4, 18.7, Self-employed, 18.5, 19.6, 16.9, Assisting spouses, 16.1, 14.6, 16.5, Employees, managers, 29.6, 31.9, 24.8, Employees - upper level, 23.1, 27.2, 20.1, Employees - medium level, 29.5, 35.9, 22.9, Employees - basic level, 21.0, 24.8, 16.6, Other employees, 19.7, 22.5, 16.0, Employees, not specified, 20.9, 23.2, 17.3, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTB4), Employed persons (end November) by time, commuting distance and sex, Unit: , Number, Total, Men, Women, 2024, Total, 3,135,965, 1,643,356, 1,492,609, No commuting, 181,310, 122,645, 58,665, Up to 5 km, 873,910, 403,868, 470,042, 5-10 km, 571,462, 280,091, 291,371, 10-20 km, 585,019, 297,655, 287,364, 20-30 km, 324,823, 170,563, 154,260, 30-40 km, 188,623, 103,724, 84,899, 40-50 km, 116,252, 68,137, 48,115, More than 50 km, 288,691, 191,496, 97,195, Unknown, 5,875, 5,177, 698, In Statbank Denmark, you can find more data on Employed persons (end November) (AFSTA3), Average commuting distance (end November) by socioeconomic status and time, Unit: , km, 2022, 2023, 2024, Employed total, 22.2, 22.5, 22.6, Self-employed, 19.0, 18.6, 18.5, Assisting spouses, 17.8, 16.3, 16.1, Employees, managers, 29.4, 29.5, 29.6, Employees - upper level, 22.5, 22.9, 23.1, Employees - medium level, 28.9, 29.3, 29.5, Employees - basic level, 20.8, 21.0, 21.0, Other employees, 18.8, 19.3, 19.7, Employees, not specified, 20.7, 20.7, 20.9, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTA4), Average commuting distance (end November) by time, socioeconomic status and sex, Unit: , km, Total, Men, Women, 2024, Employed total, 22.6, 26.4, 18.7, Self-employed, 18.5, 19.6, 16.9, Assisting spouses, 16.1, 14.6, 16.5, Employees, managers, 29.6, 31.9, 24.8, Employees - upper level, 23.1, 27.2, 20.1, Employees - medium level, 29.5, 35.9, 22.9, Employees - basic level, 21.0, 24.8, 16.6, Other employees, 19.7, 22.5, 16.0, Employees, not specified, 20.9, 23.2, 17.3, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTA4), Related content in Home to work commuting, Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/erhvervspendling

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Stock of means of transportation

https://www.dst.dk/en/Statistik/emner/transport/transportmidler/bestanden-af-transportmidler

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Previous projects

Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Ghana, Statistics Denmark implemented the first phase of a Strategic Sector Program financed by the Ministry of Foreign Affairs in Ghana from 2019-2023. The partner was Ghana Statistical Service (GSS) which is the main producer of official Statistics in Ghana., The overall objective of the Strategic Sector Program in Ghana was to lay the foundation for a statistical system that needs fewer surveys, while at the same time having more and higher quality data. To reach this objective the cooperation supported Ghana in:, strengthening the foundation of evidence-based decision making at all levels in Ghana by reinforcing the quality, dissemination and communication of relevantstatistics to users in Ghana andinternational organisations working with Ghana,, boosting the modernisation of the nationalstatistical system in Ghanaby strengthening data and quality management and new data sources in the entire statistical production process,, improving the monitoring and reporting of the UN Sustainable Development Goals in Ghana., Social Statistics, In 2025 our SSC-project with Ghana and GSS entered into Phase II which runs from 2024-2026. , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, 2022-2025, From 2022-2025 Statistics Denmark implemented an EU-financed Twinning project in the Hashemite Kingdom of Jordan. Our partner was the Department of Statistics of the Hashemite Kingdom of Jordan (DoS)., The implementation was done in close cooperation with the Federal Statistical Office in Germany, The Italian National Institute of Statistics and Statistics Lithuania as Junior Partners, with support from Statistics Finland. The project will run from September 2022 to March 2025., The overall objective of the Twinning Proposal was to strengthen the capacity of Jordan’s Department of Statistics in terms of compilation, analysis and reporting of statistical data in line with International and European best practices with the flowing two specific objectives, which will contribute, to delivering the strategic goals of the statistical system in Jordan. , Specific Objective 1: To strengthen and develop Jordan’s business and population statistics in line with best international practice through the incorporation of administrative data sources., Specific Objective 2: To enhance DoS statistical outputs by developing new policy-oriented statistics and updating and strengthening current methodologies, particularly for survey-based data., The project is structured around three components: , Component 1: Integrated administrative data system, Component 2: Small Area Statistics, Component 3: Missing or erroneous data, 2013-2015, Between November 2013 and April 2015, Statistics Denmark implemented another EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Morocco, From 2019-2023 Statistics Denmark implemented the first phase of a Strategic Sector Program in Morocco financed by the Danish Ministry of Foreign Affairs. Our partner was the High Commission for Planning (Haut-Commissariat au Plan - HCP) which is the main producer of official Statistics in the Kingdom of Morocco. , The overall objective of the Strategic Sector Program is to contribute to the public debate in Morocco by providing the society with relevant and easily accessible statistics and support informed decision making by supporting a: , Digital data transformation with the aim to improve the quality of statistics and increase the efficiency of the statistics production,, Strengthened user orientation to better understand user needs and improveuser-friendliness and accessibility so more data is used by all levels of society,, Improved monitoring and reporting of the Sustainable Development Goals, In 2025 our SSC-project with Morocco and HCP entered into its second phase which runs from 2024-2026. , Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Pan-African Statistics - PAS II 2022-2025, The Pan-African Statistics project was part of an EU funded programme counting two projects (SOCSTAF - Social Statistics and ECOBUSAF - Economic and Business Statistics) headed by Statistics Denmark and Statistics France (INSEE) respectively. The Danish-headed project focused on support to producing official statistics within the social domains of education, health, and labour and counts consortium partners from the NSIs of France, Finland, Spain and Poland. , The aim of the Danish-led part of the project (SOCSTAF) was to support African integration through strengthening the African Statistical System and ensure the use of quality statistical data in the decision-making process and policy monitoring, in order to facilitate monitoring of societal progress in Africa, with a special focus on the social domain. , The project intended to reinforce the capacity of selected African national statistical offices in producing good quality social statistics in fields of health, education, and labour and thus contributing to the following three outputs: , Output 1: Reliable and harmonized statistics are collected and analyzed based on international standards recognized and applied across the entire African Statistical System in a number of key sectors relevant for African integration (with disaggregation by sex, age, and disability where relevant), Output 2: Reliable and harmonized statistics are disseminated to users and used as evidence for informed decision-making., Output 3: The institutional capacity of the African statistical system is increased at national level., Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communication with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013., Vietnam, From 2022 to 2024 Statistics Denmark implemented the first phase of a Strategic Sector Program in Vietnam financed by the Ministry of Foreign Affairs. Our partner was the General Statistics Office of Viet Nam (GSO). The GSOwas an organization under the Ministry of Planning and Investment (MPI) performing the advisory function for the MPI Minister on state management in statistics and providing social and economic information to national and international organizations and individuals. The GSO also plays a key role in monitoring the SDGs.., The overall objective of the Strategic Sector Program was to contribute to the development process of the Viet Nam by providing adequate and trustworthy statistics complying with the international standards and trends. , The project played an important role in the process to informed decision-making by supporting the development of at least four areas:, Modernizing the data collection methods for population and migration statistics so that Viet Nam can improve the quality of demographic statistics and gain more reliable information on the developments m the population, Developing education statistics with the ambition that an education sector will have an informed platform to base daily operations and future development, Introducing Big Data as a new data source in Viet Nam and producing experimental statistics in order to provide more knowledge on the Vietnamese society, Developing the GSO's capacity to develop environmental-economic accounts, hence increase available knowledge on the environmental situation in Viet Nam and improve monitoring and reporting of the environmental-related SDGs., In 2025 our SSC-project with Vietnam and the National Statistical Office (NSO) entered into its second phase which runs from 2025-2027.

https://www.dst.dk/en/consulting/projects/previous-projects

How we carry out services

The price of a service depends solely on the number of hours spent on the service. As a customer, you can reduce the time spent in the initial phase – and consequently the price – by making yourself acquainted with how we proceed with commissioned services. We have made a bulleted summary below describing a typical procedure for a customised service. We will be happy to help you through all phases of a service, so do not hesitate to contact us if you have any questions. It is useful to get acquainted with our registers and variables by looking into , www.statbank.dk, . , It is also a good idea to inform Statistics Denmark about your expectations to price and time frame, so that we can align our expectations from the start as to what is feasible. , , 1. WHAT WE CAN PROVIDE, NO MICRO DATA, Statistics Denmark is not allowed to provide individual pieces of information about persons, families, households or enterprises. For this reason, services will usually be provided as a table or set of summarised data. , REGISTERS, Statistics Denmark can combine data from many different registers by correlating data from CPR about persons, CVR about enterprises or BBR about properties. , STATISTICAL DATA PERIOD, If you want to correlate several statistical registers, different statistical data periods may cause that some persons/enterprises in one register cannot be matched with the content of another register. , STATISTICAL METHODS, Different statistical methods may also imply that a few persons/enterprises included in one register may not be included in another register. The income statistics, for example, are delimited to include taxpayers. Accordingly, if a person is not a taxpayer, this person is not registered in these statistics. The same person may easily be found in other registers, e.g. in the educational register. , QUALITY, Statistics Denmark makes a point of providing tables and data of a quality that we can vouch for. For this reason, Statistics Denmark may decline to provide a service, if we consider that the data quality, dropout or data construction does not provide a sufficiently well-founded assessment of reality. , , 2. CLARIFICATION PHASE, SUBMIT REQUEST , If you want to receive a quotation from us for delivery of statistics, click the link below and fill in the form. This allows us to find the right consultant for the further process:, Request a quotation, If you want to order an update of previously delivered services, click the link below and fill in this form:, Request update of a former delivery, The completed form will help clarify questions such as:, Do we have the requested data?, Can we delimit data in the way that you request?, Are there any matching problems between registers?, Do special circumstances exist concerning data, which may involve constraints?, Do we need to take measures regarding statistical disclosure control to eliminate the risk of disclosing information on a single individual statistical unit?, When the statistics were last updated?, By when do you need the data?, , 3. DELIMITATION OF POPULATION, TOTAL POPULATION , The total population will often be a population that is comparable with published, free-of-charge figures at , www.statbank.dk, , such as the population of a municipality. , DELIMITED POPULATION, Based on selected variables in the register, we determine how we are going to delimit the population. This could be e.g. persons aged 16-29 in employment. , YOUR OWN POPULATION, We can delimit the population on the basis of civil registration numbers (CPR), central business register numbers (CVR) or addresses that you have provided us with, which we can then match with the requested registers. Note that you are not allowed to provide us with your own population without prior agreement, since data must be encrypted when submitted and we must make a data processor agreement. , COMPARABILITY WITH PUBLISHED STATISTICS, When we provide services, to the extent possible, we check data against other published sets of statistics and document to which of Statbank Denmark’s sets of statistics you can make comparisons. If we are unable to compare or check data against the published statistics, e.g. if extraction is made from your own population, this is noted in the documentation. , , 4. VARIABLES, TIDSSERIER , At , www.statbank.dk, you will be able to find tables displaying the most widely used variables in our many registers. Please note that many registers/variables are not comparable over time. This is because changes may occur in the sets of values for various variables (e.g. in groupings from e.g. ages 0-5 and 6-10 to ages 0-4 and 5-9), or there may be changes in the method of assessment for the statistics, e.g. changes in the definitions of certain variables. If changes have occurred in Statbank Denmark tables that make it difficult to compare data over time, two tables will be displayed, each with their separate time series, instead of one table. , STANDARD GROUPINGS , It is possible to do both: use standard grouping of variable values and make your own groupings. You can find help for standard groupings by looking at the different nomenclatures here: , https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer, TABLE SIZES , Consider whether you want one table crossing all variables, or whether you could use several small tables. If you want one big table crossing many variables, it may be necessary to apply statistical disclosure control, which often makes the requested service more costly and data less useful. , , 5. PRICE AND QUOTATION, THE QUOTATION, When the requested service has been clarified, we prepare a quotation, which is usually open for a month. It is no problem for us to change the quotation during the process, but we do make reservations with respect to increasing the price if we need to spend time adjusting the quotation., TIME-RELATED CHARGE, We calculate the price of a service based on the total time spent on the service., The time spent consists in e.g.:, Clarifying the scope of the requested service, as we need to close the gap between your ideas and the data , Preparing a quotation and contract, if relevant, and/or data processor agreement , Programming, including linking between registers, applying statistical disclosure control as well as test and validation of data. , Setting up tables in Excel and preparing documentation , , The hourly rate for services is , DKK 1,476 excl. VAT (DKK 1,845 incl. VAT), . , You can read more about the basis of the calculation of the hourly rates for services under prices and pricing policy. , BUDGET FOR THE SERVICE, We are very interested in hearing your expectations to price and, if relevant, the budget that you anticipate, as early in the process as possible, as this can help us optimise the time we spend. , INITIAL SURVEY, If we estimate that it will take more than one hour to clarify the requested service (including table definition and price calculations), we offer to make an initial survey. A preliminary survey can ensure that you do not place an order for a major service project, which later proves to be useless. Before we agree on an initial survey, we are typically able to make a not binding estimate of how much the final service is going to cost. , FRAMEWORK AGREEMENT, If a service is difficult to estimate in terms of time or to define, we offer to create a framework agreement. In case of a framework agreement, we agree on a framework for a certain number of hours, but you only pay for the time we actually spend performing the service. A framework agreement provides more room in the process for clarification and changes of definitions, but we cannot guarantee how much we can accomplish within the agreed number of hours. , FIXED-PRICE CONTRACT, If a service is well-defined, we can make a fixed-price contract, in which we agree on a price as well as which aggregated tables we provide at the given price. , , 6. DATA SECURITY AND CONFIDENTIALITY, We greatly emphasize the protection of personal data as well as data on enterprises. For this reason, we do not provide statistics involving a risk that individuals or individual households or enterprises can be identified. For further information about this, read our Data confidentiality policy., Statistics Denmark reserves the right to apply statistical disclosure control to datasets to the extent deemed necessary., WHEN DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, We must apply statistical disclosure control if:, the tables are highly detailed and it is possible to identify individuals or enterprises, you want to break down on variables included in your submitted datasets, which have been used to delimit the population (e.g. types of customers). In this case, we typically require a minimum of 30 or 50 units in each cell, HOW DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, There are several methods of statistical disclosure control and it is agreed in collaboration with the customer which method we use. We typically select one the following options:, Automatic aggregation of categories of variables to an aggregate category named “statistical disclosure control” until the statistical disclosure control requirement has been met., Manual aggregation of categories of variables until the statistical disclosure control requirement has been met. This solution is somewhat more time-consuming and consequently involves higher costs., The value in the cell is set for “statistical disclosure control” if the number of observations is too low. With this solution, all categories of variables are maintained, but you can no longer use the sums in the table., , 7. COMMISION, You commission a service when you accept the quotation from Statistics Denmark in writing. , CONTRACT FOR SERVICES , Statistics Denmark prepares a contract for all services above DKK 25,000 excl. VAT or services on special terms. , , 8. CREATION OF DATA AND DOCUMENTATION, In principle, we create data based on the definitions we have established together. In practice, questions will emerge along the way, to which we will find a solution together. This means that it is necessary that you are available and able to respond to any clarifying questions within reasonable time while we work on the service. , DOCUMENTATION , We deliver the service to you along with documentation describing the registers, variables, population, any data breaks and how we have carried out the actual service. , Documentation of variables is available at , www.dst.dk/dokumentation, Documentation of registers is available at , www.dst.dk/varedeklarationer, , 9. DELIVERY AND PAYMENT, We endeavour to execute minor services within 1-3 weeks. For major service projects, the delivery time varies. The delivery time depends on the number of services that we are contractually committed to complete, and the scope of the service. Especially during the holiday season or in periods where new data is released, the delivery time may be long. , FORMATS, We usually deliver the tables in Excel, but also offer to deliver in other formats., Large tables can be delivered as Excel pivot tables or in PC-Axis. In this way, you can extract parts of the table and analyse a subset of data. Large tables are typically unsuitable as frozen tables in Excel. Delivery of data in PC-Axis format is more costly., We can deliver summarised data as e.g. SAS, SPSS, semicolon separated file or other flat file., INVOICING, When we have delivered the service, we will invoice you. The time for payment is 30 days. We reserve the right to sub-invoice services stretching over a long period of time., SUBSEQUENT ADVISORY SERVICES, Within the first month after delivery, we offer up to 15 minutes of advisory services/help to understand and interpret data. For major services, we incorporate subsequent consulting services in the contract., We offer further consulting by special arrangement and settled by separate payment at the current hourly rate. We will notify you when the included time has been spent., ERRORS IN THE DELIVERY, If within 30 days, you or we become aware of errors in the registers, or if we have made a programming error in the service provided, we deliver new data as soon as possible., We are very interested in knowing about errors, small or large, or any inexpediencies in the statistics, so that we can check and, if relevant, correct the content in customised services as well as in the registers. It is only rarely possible for us to immediately correct errors in the underlying registers, but we do anything we can for it to happen as soon as possible., , 10. GENERAL TERMS FOR SERVICES, You will find the general terms for services here: , General terms and conditions of agreements, If you want to e.g. pass on the customised set of statistics to a third party, or publish data directly on a website in raw form, this must be incorporated in the contract. , 11. SUBMISSION OF DATA, If the service requires that you submit personal data to us, you must enter into a data processor agreement with us before you submit data., For security reasons, you are not allowed to submit personal data via regular email. You must use one the following options:, If your organisation has secure, encrypted FTP access, you may use this to submit data to consulting@dst.dk for the attention of your contact in DST Consulting stated in the email., If your organisation has tunnel access, you may use this to send an email with attached information directly to your contact person in DST Consulting., You can download a safety certificate from the website and submit data via encrypted email based on the contact person that is created. Then you can submit data via email to consulting@dst.dk for the attention of the customer’s contact person in DST Consulting., You can email the contact person in DST Consulting and submit data by attaching it as a password protected zip file, provided that you transmit the password via another channel – e.g. via text message or telephone, , 12. DATA STORAGE, STORAGE OF SUBMITTED DATA, To facilitate subsequent consulting services, we generally store personal data for three years after delivery of the service. If you want us to store data for a longer period, this must be indicated in the data processor agreement. You can find further information about this under , data processing, . , STORAGE OF CUSTOMER INFORMATION, For accounting reasons, Statistics Denmark stores contact information you have provided for you and your enterprise/organisation. Further information about the processing and storage is available in our , Privacy policy for the handling of personal data at DST Consulting, . ,

https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/bestil-en-opgave/serviceopgavens-forloeb

Historical national accounts

Tables of Historical National Accounts comprise two different types of National Accounts figures. Backcast figures which are consistent with the latest compilations, and obsolete published figures, which shed light on the available National Accounts figures for the observers, of bygone periods, of their contemporaneous economy. , Introduction, The most important descriptive tool of the macroeconomy of, say, Denmark is the current compilations of the National Accounts, henceforth abreviated as Statistics Denmarks current National Accounts., This page covers two different meanings of ”Historical National Accounts”:, backcast National Accounts figures, which are consistent the figures of the current National Accounts, but covers previous periods, and, obsolete published figures of the National Accounts, meaning figures which, for different reasons, partly or wholly are not consistent with the current National Accounts from Statistics Denmark., Why are both interesting?, Backcast National Accounts figures are interesting because, they extend the consistent description of the Danish economy backwards in Time, further than the current National Accounts figures go. These extended figures help us see the business cycles (the aggregate motion of the economy) over the longer term., Obsolete published figures of the National Accounts are interesting for those who would like to understand how observers were able to view the economy of their own times, e.g. from the 1950’ies and 1960’ies, of the 1940’ies and 1950’ies., What is the difference?, Very briefly differences are accounted for by three factors: compilation manuals, the division of labour in the organization of the World’s production, and the coverage of available statistics., From the first modern sets of National Accounts figures emerged in the 1930’ies and 1940’ies much research has been conducted and conceptual refinement has found their way into the international compilation manuals from organizations, like United Nations (UN) and the OECD. These changes of the basic manuals, changes in the organization and distribution of productive activities across national boundaries (e.g. the increasing globalisation of production) has changed details of even fundamental concepts like Gross Domestic Product (GDP; in Danish: bruttonationalproduktet, BNP)., Economic-political data requirements for a more precise description of the Danish economy’s structures and dynamics increased historically the means with which to provide important improvements in the systematic statistical coverage of areas such as business statistics and labour market statistics., These three factors combined changes the requirements of and the ability to provide a more precise description of the economy. For this reason the published figures of different compilation regimes, of overlapping years, are usually different even for the exact same years., To gather what is similar, and separate what is different, we har introduced the somewhat technical term ”National Accounts compilation regimes”, here anre elsewhere abreviated ”NA-regimes”, or ”compilation regimes”., Previously published figures and descriptions from the Danish National Accounts have revealed 19 different NA-regimes, from the first was published in December 1945, until the lastest, the current, which started in 2016., Introduction to key the concepts Gross Domestic Product (GDP; in Danish: bruttonationalprodukt, BNP), Gross National Income (GNI; in Danish: bruttonationalindkomst, BNI) and Gross Domestic Product in factor prices (in Danish: bruttofaktorindkomst, BFI) may be found elsewhere on pages concerning the Danish National Accounts., Documentation, Published figures of the Danish National Accounts are divided into 19 separate, official compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, NR1945, Statistiske Efterretninger 1945:52, d. 14. december, Statistiske Meddelelser 4/129/5, 1948, NR1948, Statistiske Efterretninger 1948:25, d. 11. juni, NR1951, Statistiske Meddelelser 4/140/2, 1951, NR1955, Statistiske Meddelelser 4/160/2, 1955, NR1960, Statistisk oversigt 1948-1959, udgivet 1960, samt Statistisk årbog 1960, udgivet 1961, NR1962, Statistiske Undersøgelser 7, 1962, NR1965, Statistiske Efterretninger 1965:59, d. 15. dec., NR1972, Statistiske Efterretninger 1972:79, d. 20. dec., NR1978, Statistiske Efterretninger 1978:A20, d. 29. august,, Statistiske undersøgelser nr.30 og 31, 1973, NR1981, Statistiske Efterretninger 1981:A30, d. 22. september, ”Nationalregnskabsstatistik 1966-1981”, udgivet 1983, NR1984, Statistiske Efterretninger 1984:18, d. 23. december, ”Nationalregnskabsstatistik 1983”, udgivet 1985, NR1995, Statistiske Efterretninger 1995:12, d. 19. juni, ”Nationalregnskabsstatistik 1994”, udgivet 1996, NR1997, Statistiske Undersøgelser 46, 1997, NR2000, Statistiske Efterretninger 2000:03, d. 13. april, ”Nationalregnskabsstatistik 1999, Aprilversion”, udgivet juni 2000,, ”Nationalregnskab ENS95. Makroøkonomiske tidsrækker 1966-1997”, udgivet 2001., NR2005, Statistiske Efterretninger 2005:08, d. 26. juli”, ”Nationalregnskabsstatistik 2003”, udgivet september 2005, NR2009, Statistiske Efterretninger 2009:15, d. 09. nov., ”Nationalregnskab 2008”, udgivet januar 2010, NR2011, Statistiske Efterretninger 2011:11, d. 15. september, ”Nationalregnskab 2010”, udgivet februar 2012, NR2014, ”Nationalregnskab og offentlige finanser, ESA 2010, Hovedrevision 2014”, udgivet september 2014, Statistiske Efterretninger 2014:13, d. 22. december, NR2016, , det aktuelle, Statistiske Efterretninger 2016:11, d. 15. nov., In addition there is a half-official compilation regime:, Name of compilation regimes, Main release vehicle (-s), in Danish, BU1958, Kjeld Bjerke og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Kbh., 1958. Udsendt af Statistisk Departement sammen med Københavns Universitet, Økonomisk Institut., and some unofficial compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, SH1983, Svend Aage Hansen: , Økonomisk vækst, , bind II, Akademisk forlag, Kbh., 3.udg., 1983. Publikation nummer 6 fra Københavns Universitet, Institut for Økonomisk Historie., En meget anvendt kilde, med talrækker til 1818. Kan betragtes som en tilbageføring af NR1962, med en videreføring ved NR1965 og NR1972., SL2010, Larsen, Hans Kryger; Søren Larsen og Carl-Axel Nilsson: ”Landbrug og industri i Danmark 1896 -1965. Nye beregninger af bfi inden for de varefremstillende sektorer”, , Historisk Tidsskrift, , bind 110, nr.2, 2010. Siderne 358-401. , Her anvendes alene tallene for 1947-1965, der skyldes Søren Larsen. En tidligere version af disse tal for 1947-1965 har været indarbejdet i visse af den økonomiske model ADAMs databanker, som tilbageføring af NR1984., Five main publications of obsolete sets of National Accounts figures, in addition to access to the figures of their tables: , Bjerke, Kjeld, og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Statistisk Departement og Københavns Universitets Økonomiske Institut, G.E.C Gads forlag, 1958. Due to unresolved intellectual property rights we are presently unable to provide this as a pdf-document., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1930-1946, , Statistiske Meddelelser 4. række, 129. bind, 5. hæfte, 1948., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1946-1949, , Statistiske Meddelelser 4. række, 140. bind, 2. hæfte, 1951., Statistisk Departement: , Nationalindkomsten 1938 og 1947-54, , Statistiske Meddelelser 4. række, 160. bind, 2. hæfte, 1955., Statistisk Departement: , Nationalregnskabsstatistik 1947-60, , Statistiske Undersøgelser nr.7, 1962., Zip-files with table contents as MS-Excel-spreadsheets, Tabelindhold - Studier over Danmarks nationalprodukt 1870-1950 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1930-1946 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1946-1949 (zip), Tabelindhold - Nationalindkomsten 1938 og 1947-54 (zip), Tabelindhold - Nationalregnskabsstatistik 1947-60 (zip), , Key figures, , Related content in Historical national accounts, Tables in Statbank , Scheduled releases , Contact, Michael Osterwald-Lenum, Phone: +45 20 57 01 29, Mail: , mol@dst.dk

https://www.dst.dk/en/Statistik/emner/oekonomi/nationalregnskab/historisk-nationalregnskab

Subject page

Passengers and routes

Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Aviation, Maritime Transport over Danish Ports, Rail Transport, Transport by Ferries and Passenger Ships, Key figures, In Statbank Denmark, you can find more data on Departing passengers from major, manned, public airports (FLYV92), Departing passengers from major airports by flight, airport, type of transport and time, Unit: , 1,000 people, 2024Q4, 2025Q1, 2025Q2, 2025Q3, 2025Q4, All flights, AIRPORT TOTAL, Total, 4,254, 3,575, 5,067, 5,591, 4,602, National, 337, 286, 443, 454, 432, International, 3,916, 3,289, 4,624, 5,137, 4,171, Scheduled flights, AIRPORT TOTAL, Total, 4,041, 3,355, 4,771, 5,157, 4,392, National, 328, 277, 433, 439, 419, International, 3,712, 3,079, 4,338, 4,718, 3,973, Charter and taxi flights, AIRPORT TOTAL, Total, 207, 213, 287, 424, 203, National, 7, 6, 8, 10, 9, International, 200, 207, 279, 414, 193, Other flights, AIRPORT TOTAL, Total, 6, 6, 9, 10, 8, National, 2, 3, 2, 5, 3, International, 4, 3, 7, 5, 5, In Statbank Denmark, you can find more data on Departing passengers from major airports (FLYV91), In Statbank Denmark, you can find more data on Domestic ferry transport (SKIB33), Domestic ferry transport by ferry route, unit and time, 2025M05, 2025M06, 2025M07, 2025M08, 2025M09, 2025M10, 2025M11, 2025M12, FERRY ROUTES TOTAL, Passengers, 1000, 1,056, 1,122, 1,684, 1,398, 998, 899, 692, 733, Passengerkilometres, 1000, 30,379, 31,832, 43,717, 37,230, 27,267, 27,131, 22,975, 25,252, Road vehicles total, 406,590, 417,142, 506,736, 468,890, 389,129, 362,384, 303,431, 304,400, In Statbank Denmark, you can find more data on Domestic ferry transport (SKIB33), In Statbank Denmark, you can find more data on International ferry transport (SKIB34), International ferry transport by unit, ferry route and time, 2025M07, 2025M08, 2025M09, 2025M10, 2025M11, 2025M12, Passengers, 1000, FERRY ROUTES TOTAL, 3,500, 2,605, 1,437, 1,388, 1,095, 1,281, DENMARK-SWEDEN, 1,595, 1,137, 683, 688, 620, 663, DENMARK-NORWAY, 654, 453, 219, 188, 126, 184, DENMARK-POLAND, .., .., .., .., .., .., DENMARK-GERMANY, 1,239, 1,001, 529, 507, 345, 433, DENMARK- UNITED KINGDOM, .., .., .., .., .., .., DENMARK-THE FAROE ISLANDS, 12, 14, 6, 5, 4, 1, Passengerkilometres, 1000, FERRY ROUTES TOTAL, 230,957, 175,431, 95,650, 88,205, 61,692, 76,598, DENMARK-SWEDEN, 49,562, 32,717, 18,945, 18,344, 12,973, 14,552, DENMARK-NORWAY, 134,647, 98,443, 55,227, 51,699, 36,001, 49,838, DENMARK-POLAND, .., .., .., .., .., .., DENMARK-GERMANY, 34,317, 29,725, 15,087, 13,487, 8,779, 11,023, DENMARK- UNITED KINGDOM, .., .., .., .., .., .., DENMARK-THE FAROE ISLANDS, 12,431, 14,546, 6,391, 4,675, 3,939, 1,185, Road vehicles total, FERRY ROUTES TOTAL, 897,387, 710,932, 445,611, 416,133, 342,655, 348,896, DENMARK-SWEDEN, 326,277, 260,465, 184,820, 180,222, 164,925, 144,433, DENMARK-NORWAY, 168,496, 119,056, 59,942, 48,292, 33,043, 46,410, DENMARK-POLAND, .., .., .., .., .., .., DENMARK-GERMANY, 397,400, 326,251, 198,314, 186,080, 143,521, 157,579, DENMARK- UNITED KINGDOM, .., .., .., .., .., .., DENMARK-THE FAROE ISLANDS, 5,214, 5,160, 2,535, 1,539, 1,166, 474, In Statbank Denmark, you can find more data on International ferry transport (SKIB34), In Statbank Denmark, you can find more data on Rail transport of passengers (BANE25), Rail transport of passengers by unit, type of transport and time, 2024Q4, 2025Q1, 2025Q2, 2025Q3, 2025Q4, 1000 passagerer, RAILWAY NETWORK, TOTAL, 92,058, 88,002, 91,899, 88,606, 93,827, NETWORK MANAGED BY BANESTYRELSEN , 51,002, 48,410, 51,872, 49,310, 51,077, S-trains, 28,983, 27,937, 28,869, 25,882, 28,381, National network, total, 17,826, 16,768, 18,249, 18,113, 18,275, East of Great Belt, 10,685, 10,066, 11,137, 11,287, 11,008, West of Great Belt, 4,760, 4,456, 4,615, 4,415, 4,699, Across Great Belt, 2,381, 2,246, 2,497, 2,411, 2,568, International traffic, total, 4,193, 3,704, 4,754, 5,315, 4,421, Øresund trains, 3,987, 3,451, 4,443, 4,955, 4,168, Other international trains, 206, 253, 311, 360, 253, COPENHAGEN METRO, 34,448, 33,110, 33,634, 32,667, 35,718, OTHER RAILWAY NETWORKS, 3,187, 3,016, 3,166, 3,444, 3,150, Million passenger kilometres, RAILWAY NETWORK, TOTAL, 1,843, 1,765, 1,911, 1,866, 1,911, NETWORK MANAGED BY BANESTYRELSEN , 1,604, 1,530, 1,670, 1,620, 1,662, S-trains, 345, 333, 341, 311, 342, National network, total, 1,178, 1,113, 1,225, 1,192, 1,229, East of Great Belt, 381, 360, 392, 393, 393, West of Great Belt, 275, 257, 274, 263, 272, Across Great Belt, 523, 497, 559, 536, 563, International traffic, total, 81, 83, 103, 118, 91, Øresund trains, 49, 43, 55, 61, 52, Other international trains, 32, 41, 48, 57, 40, COPENHAGEN METRO, 151, 148, 150, 146, 159, OTHER RAILWAY NETWORKS, 63, 62, 68, 76, 65, In Statbank Denmark, you can find more data on Rail transport of passengers (BANE25), Related content in Passengers and routes, Tables in Statbank , Scheduled releases , Contact, Peter Ottosen, Phone: +45 30 42 91 91, Mail: , pot@dst.dk

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Camping sites

Danes and foreigners combined have millions of overnight stays on camping sites in Denmark every year. , Introduction, The statistics on camping sites are published monthly and annually. The monthly statistics are calculated from reporting from camping sites with at least 75 units while the annual statistics also covers camping sites with as little as 10 units., A camping unit corresponds to a capacity of 3 people. In Denmark there are about 407 camping sites with at least 75 units. Three out of four camping sites are located west of Storebælt., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights spent on camp sites, Key figures, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Nights spend on camping sites by region, unit, nationality of the guest, period and time, Unit: , Number, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, All Denmark, Nights stay, Total, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66,865, 82,756, 73,989, 73,969, 75,333, 77,130, 78,798, 103,401, 96,311, 107,483, 116,942, 104,380, March, 146,827, 137,879, 162,112, 144,052, 119,926, 211,023, 152,260, 157,855, 164,556, 163,392, 327,637, 179,984, 192,820, 387,682, 193,117, 251,278, 554,904, 234,850, 313,982, 216,380, 281,732, 330,101, 254,649, 165,863, 287,248, 159,644, 211,884, 135,469, 105,402, 195,792, 176,193, 170,800, 318,318, 165,411, 0, April, 518,698, 591,407, 573,070, 606,489, 557,462, 472,598, 573,875, 603,196, 718,173, 665,270, 653,136, 829,512, 802,521, 687,710, 802,628, 936,828, 787,083, 923,175, 834,799, 995,004, 854,108, 723,524, 861,584, 827,378, 728,060, 851,907, 744,771, 875,334, 482,096, 786,165, 997,982, 951,279, 723,737, 882,207, 0, May, 1,086,341, 1,282,526, 1,225,098, 1,031,910, 1,102,436, 1,103,875, 1,093,417, 1,180,579, 879,451, 1,043,533, 1,166,982, 1,063,390, 1,329,987, 1,265,217, 1,109,268, 1,356,443, 1,456,303, 1,411,401, 1,364,936, 1,075,330, 1,369,493, 1,257,532, 1,156,946, 1,292,073, 1,253,675, 1,180,038, 1,318,237, 1,109,087, 940,971, 1,157,047, 1,325,118, 1,441,731, 1,400,941, 1,218,327, 0, June, 1,978,297, 1,662,693, 1,518,210, 1,723,856, 1,543,192, 1,517,741, 1,542,028, 1,354,877, 1,662,676, 1,488,925, 1,364,208, 1,690,544, 1,335,758, 1,314,895, 1,479,423, 1,386,496, 1,549,777, 1,500,365, 1,422,397, 1,785,401, 1,325,728, 1,339,440, 1,539,571, 1,388,691, 1,408,264, 1,495,820, 1,440,825, 1,570,749, 1,216,036, 1,408,681, 1,737,776, 1,673,206, 1,599,726, 1,629,015, 0, July, 5,919,197, 5,081,390, 5,017,072, 5,458,360, 5,130,367, 5,251,927, 4,415,101, 4,557,559, 4,182,853, 4,443,645, 4,492,600, 4,723,961, 4,404,502, 4,111,906, 4,349,572, 3,945,056, 4,212,946, 4,090,965, 4,153,835, 3,959,888, 3,636,309, 3,885,369, 3,953,087, 3,724,233, 3,637,703, 3,498,182, 3,869,354, 3,877,944, 4,255,589, 4,194,455, 4,120,130, 3,737,466, 3,613,101, 3,617,718, 0, Denmark, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 57,596, 73,205, 66,056, 66,676, 67,366, 68,938, 75,858, 90,530, 84,036, 91,916, 99,566, 86,959, March, 134,052, 124,121, 137,942, 125,256, 96,997, 158,859, 132,225, 133,504, 148,579, 145,869, 279,117, 159,139, 168,641, 328,374, 166,474, 204,739, 468,422, 194,857, 273,669, 188,475, 243,453, 274,501, 210,598, 139,143, 233,302, 137,166, 177,666, 117,606, 93,646, 191,243, 144,084, 140,976, 231,270, 128,990, 0, April, 419,161, 476,249, 455,985, 477,047, 430,727, 366,371, 441,972, 475,118, 565,065, 536,506, 534,598, 677,776, 665,934, 595,366, 678,090, 793,661, 693,544, 789,058, 722,293, 847,996, 729,127, 629,145, 722,304, 694,863, 623,715, 703,420, 629,437, 708,173, 477,085, 775,110, 790,162, 721,525, 566,807, 650,477, 0, May, 869,230, 1,000,159, 903,032, 786,050, 824,607, 817,700, 831,347, 893,877, 694,953, 825,896, 913,495, 852,745, 1,063,617, 1,019,452, 908,297, 1,117,142, 1,204,000, 1,166,138, 1,135,315, 903,589, 1,141,556, 1,042,284, 949,489, 1,051,408, 1,013,329, 957,977, 1,029,386, 873,069, 929,747, 1,106,980, 1,012,079, 1,046,736, 959,030, 841,924, 0, June, 1,367,919, 1,163,436, 1,098,189, 1,206,780, 1,073,505, 1,079,208, 1,115,368, 988,106, 1,206,815, 1,108,369, 1,015,875, 1,283,675, 1,019,314, 1,017,292, 1,150,863, 1,043,537, 1,219,005, 1,187,432, 1,119,802, 1,405,463, 1,031,962, 1,035,383, 1,193,424, 1,070,277, 1,065,644, 1,123,681, 1,055,179, 1,112,191, 1,042,075, 1,182,286, 1,211,334, 1,109,018, 1,046,277, 1,019,286, 0, July, 3,521,136, 3,221,529, 3,366,096, 3,462,764, 3,257,063, 3,454,101, 3,028,817, 3,190,992, 2,910,053, 3,099,435, 3,172,507, 3,364,145, 3,179,207, 2,918,054, 3,181,622, 2,917,015, 3,179,497, 3,117,612, 3,093,271, 3,010,280, 2,774,623, 2,923,992, 3,029,708, 2,825,069, 2,717,641, 2,598,832, 2,738,339, 2,689,397, 3,425,479, 3,435,649, 2,822,461, 2,507,894, 2,408,505, 2,323,391, 0, Sweden, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 819, 448, 507, 720, 492, 354, 129, 1,095, 944, 667, 473, 397, March, 896, 798, 986, 1,118, 3,494, 3,877, 1,723, 3,171, 1,790, 3,108, 2,220, 1,971, 1,796, 4,015, 4,140, 4,880, 4,382, 4,733, 2,551, 931, 2,141, 3,721, 1,748, 1,772, 3,163, 1,437, 1,849, 748, 509, 261, 1,296, 1,186, 2,198, 893, 0, April, 4,388, 1,984, 1,999, 2,062, 3,253, 3,565, 3,094, 3,027, 4,122, 4,153, 2,919, 3,708, 5,926, 3,129, 5,852, 7,464, 3,847, 3,950, 3,868, 4,999, 5,033, 3,963, 4,525, 6,452, 4,319, 7,640, 5,406, 6,406, 204, 448, 6,292, 5,853, 2,564, 6,049, 0, May, 15,778, 12,754, 11,690, 12,535, 11,956, 13,032, 12,818, 12,553, 12,892, 14,151, 12,321, 11,449, 14,971, 9,422, 10,642, 12,654, 11,972, 9,151, 9,451, 8,700, 10,037, 10,608, 13,486, 12,632, 12,621, 15,383, 15,684, 13,177, 428, 685, 11,485, 11,372, 9,164, 11,048, 0, June, 105,833, 59,080, 49,570, 47,674, 48,787, 59,777, 43,131, 39,629, 48,228, 43,053, 41,975, 39,543, 31,306, 29,765, 27,773, 27,667, 28,571, 20,991, 22,285, 27,884, 26,475, 31,183, 31,792, 33,557, 31,066, 31,929, 33,184, 31,025, 1,793, 3,094, 28,468, 27,520, 22,281, 24,871, 0, July, 483,577, 245,104, 271,660, 212,164, 230,741, 253,195, 209,124, 224,552, 238,585, 198,151, 185,795, 177,106, 154,336, 134,284, 137,273, 111,388, 109,998, 70,445, 87,145, 87,521, 84,834, 96,409, 103,726, 96,542, 95,885, 94,171, 95,079, 81,333, 10,535, 17,977, 87,876, 63,213, 61,067, 75,463, 0, Germany, February, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5,612, 5,403, 5,687, 4,905, 5,039, 5,207, 1,271, 7,007, 7,465, 11,873, 13,234, 11,742, March, 10,681, 12,232, 22,022, 16,433, 18,618, 46,263, 15,810, 17,967, 12,334, 11,953, 41,551, 15,959, 19,985, 47,536, 15,405, 29,392, 62,541, 22,947, 27,854, 18,483, 26,403, 37,823, 29,809, 17,060, 34,827, 14,522, 22,275, 11,953, 8,275, 1,808, 22,561, 23,597, 71,573, 30,221, 0, April, 88,567, 106,069, 107,157, 120,090, 116,484, 96,422, 121,894, 115,808, 139,675, 114,263, 105,989, 132,310, 113,542, 79,832, 100,478, 114,831, 73,260, 108,880, 91,232, 120,539, 98,788, 71,794, 106,165, 101,375, 76,718, 107,000, 87,265, 121,237, 2,576, 6,378, 162,935, 188,220, 126,707, 184,147, 0, May, 170,618, 240,077, 267,803, 201,114, 234,753, 243,358, 226,728, 239,753, 147,674, 174,078, 208,767, 170,277, 211,730, 200,659, 150,607, 185,761, 194,496, 195,365, 173,680, 119,920, 174,325, 161,996, 148,667, 180,564, 176,750, 158,430, 207,590, 168,704, 6,962, 43,708, 236,854, 311,197, 348,099, 296,405, 0, June, 375,703, 338,204, 278,159, 367,986, 315,704, 276,873, 294,787, 245,602, 325,079, 256,523, 223,687, 268,638, 199,709, 187,214, 215,147, 215,786, 206,636, 202,460, 182,038, 249,982, 181,902, 181,611, 214,545, 181,368, 201,140, 229,000, 221,856, 293,860, 152,261, 201,711, 358,660, 374,378, 377,920, 435,314, 0, July, 1,177,317, 1,124,013, 904,013, 1,214,651, 1,079,446, 951,106, 725,732, 702,651, 615,273, 707,208, 703,094, 680,026, 637,184, 658,734, 610,191, 493,594, 512,520, 536,205, 560,331, 503,254, 443,575, 494,363, 403,275, 394,012, 440,683, 420,507, 592,322, 646,618, 675,497, 602,908, 722,679, 732,228, 724,722, 739,589, 0, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Related content in Camping sites, Tables in Statbank , Scheduled releases , Contact, Karina Moric Ingemann, Phone: +45 24 78 42 12, Mail: , kam@dst.dk, Karen Keller, Phone: +45 21 19 85 61, Mail: , kke@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/campingpladser

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