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    Contact: Short Term Statistics

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

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

    Hosted server

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

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

    Full register extraction for public institutions

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

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

    Documentation of statistics: Quarterly Business Demography (QBD)

    Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Quarterly Business Demography (QBD) 2021 , Previous versions, The purpose of the Quarterly Business Demography is to form an overall and internationally comparable perspective of business development by the numbers of new enterprises and by the number of bankruptcies. The statistics are published for the first time in 2021., Statistical presentation, The statistic Quarterly Business Demography contain the number of new registered enterprises as well as the number of bankruptcies by selected NACE-sections.. The statistic is published quarterly. , Read more about statistical presentation, Statistical processing, Data for these statistics are collected from Statistics Denmark's Business Register (SBR) which again are based on information from the Central Business Register (CBR) and tax information from the Administrative Business Register (ABR). The sources are updated on a daily and weekly basis. The data are checked for duplicate deposits., Read more about statistical processing, Relevance, The statistics has been published as experimental statistics in the period March 2020 to May 2021 and there has been great interest in the figures. , Read more about relevance, Accuracy and reliability, The statistics are a good indication of the number of newly registered enterprises starting up. The definition means that almost 60% of the newly registered companies in the Central Business Register (CBR) are deselected in the statistics as the definition chosen which means newly registered companies must be liable for VAT, payroll or income tax for employees.. , Read more about accuracy and reliability, Timeliness and punctuality, The first dissemination of the statistics comes 90 days after the end of the quarter. Later disseminations will come approximately 30 days after the end of the quarter. The statistics have been disseminated as announced., Read more about timeliness and punctuality, Comparability, The statistics are made by all EU countries as well as EFTA and candidate countries. There is a difference in the countries' access to information and the delimitation we have made in Denmark will only be able to be implemented by a few countries., In addition to these statistics, there are the statistics Business Demography, which also shed light on the annual approach in companies. This statistic uses many more background variables and overall will always have a lower number of new businesses., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in the StatBank under the subject Business sector in general, under Enterprise development., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-business-demography--qbd-

    Documentation of statistics

    Documentation of statistics: Accounts Statistics by Industry

    Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics by Industry 2023 , Previous versions, Accounts Statistics by Industry 2022, Accounts Statistics by Industry 2021, Accounts Statistics by Industry 2020, Accounts Statistics by Industry 2019, Accounts Statistics by Industry 2018, Accounts Statistics by Industry 2017, Accounts Statistics by Industry 2016, Accounts Statistics by Industry 2015, Accounts Statistics by Industry 2014, Accounts Statistics by Industry 2012, The purpose of the present version of accounts statistics for primary industries is to compile statistics on agriculture, fishery and aquaculture which are comparable with accounts statistics on private non-agricultural industries. Furthermore the purpose is to analyze the economics in the primary industries and can be the basis for business policy decisions. In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts. Data is available for 2008 and forward., Statistical presentation, The purpose of the statistics is to analyze the activity level and the structure of the Danish primary industries yearly. The basis of the statistics is detailed accounts items e.g. turnovers, costs, profits, assets, debts and investments. This statistics is a further processing of the data collected to the accounts statistics on agriculture, fishery and aquaculture., Read more about statistical presentation, Statistical processing, The preparation of data is mainly done when the accounts statistics on agriculture, fishery and aquaculture is made. Data is checked carefully on a individual basis. Enterprises with less than 0,5 person employed (paid or own occupation) are deselected. There is not implied further editing to the data., Read more about statistical processing, Relevance, The statistics is relevant because it compares the statistics on the primary industries to the statistics on non-agricultural accounts. In addition it is also input to the national accounts., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of a sample population and consequently, the results are subject to some degree of statistical uncertainty. However the reliability on the statistics is considered to be good. This assessment is based on a representation of agricultural land, livestock and turn-over for fisheries and aquaculture. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every and are expected to be published in April, 16 month after the ending of the accounting year., Read more about timeliness and punctuality, Comparability, The main purpose of the accounts statistics for the primary industries is that the results from the primary industries are comparable with the non-agricultural industries., Internationally the accounts data on agriculture are delivered to FADN while the accounts statistics on fishery and aquaculture is delivered to DG Mare, which compares the results with other EU countries., Read more about comparability, Accessibility and clarity, The statistics are available from , StatBank Denmark, . The statistics is not published other places than in StatBank Denmark., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-by-industry

    Documentation of statistics

    Documentation of statistics: Danish Ships

    Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Danish Ships 2024 , Previous versions, Danish Ships 2022, Danish Ships 2020, Danish Ships 2019, Danish Ships January 1, 2018, Danish Ships 1. January 2017, The purpose of the statistics "Maritime Transport over Danish Ports" is to describe the structure and development of the volume of the Danish fleet. These statistics are used to analyse the shipping industry in Denmark. Compiled since 1990, the data has been presented in a consistent format, allowing for comparability from 1993 onwards., Statistical presentation, The statistics provide an annual account of ships registered in the Danish Maritime Register or the Danish International Ships Register. They detail the number of ships and ship tonnage, categorized by factors such as ship type, size, and age. , Danish-owned ships registered in foreign ship registers are not included in these calculations., Read more about statistical presentation, Statistical processing, An extract from the Danish Ship Register (DAS), the Danish International Ship Register (DIS) and the Vessel Register (FTJ) with the stock per 31 December is received annually from The Danish Maritime Authority., Read more about statistical processing, Relevance, The statistics describe the fleet of Danish registered ships, aiming to provide background information for analysing the shipping industry in Denmark. , The users of the statistics includes ministries, relevant organisations and companies., Read more about relevance, Accuracy and reliability, The ship registers, that are used, fully covers in relation to describe vessels sailing under the Danish flag., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published approx. 275 days after the reference time (1st of January). Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The compilation is consistent over time and comparable to similar compilations for other countries., Read more about comparability, Accessibility and clarity, The statistics are published on the online data bank under the topic , Mean of transport, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: International Trade in Services by Enterprise Characteristics

    Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Services by Enterprise Characteristics 2022 , Previous versions, International Trade in Services by Enterprise Characteristics 2021, International Trade in Services by Enterprise Characteristics 2020, International Trade in Services by Enterprise Characteristics 2019, International Trade in Services by Enterprise Characteristics 2018, International Trade in Services by Enterprise Characteristics 2017, The purpose of Trade in Services by Enterprise Characteristics (STEC) is to describe enterprises engaging in international trade in services, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2014 and are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Services by Enterprise Characteristics is an annual measurement of enterprises involved in international trade in services and their characteristics, stated in value. The statistics are grouped by economic activity, enterprise size, ownership and type of services., Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in services (ITSS) with Business statistics. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, STEC is relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to the international trade in services in Denmark. , Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Service by Enterprise Characteristics is closely related to the accuracy of International Trade in Service Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Service Statistics., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, STEC have been compiled since 2017 but is comparable from 2014 to 2018 for legal units. From 2019 the statistics have been compiled using the enterprise unit. The data is fully comparable with compiled services in the ITSS and Balance of payments statistics. Comparability with other statistics, such as the business statistics can be limited due to different coverages., Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , International Trade in Services, .The statistics can also be found in various publications and analysis., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services-by-enterprise-characteristics

    Documentation of statistics

    Documentation of statistics: Rent indices for housing

    Contact info, Prices and Consumption, Economic Statistics. , Martin Sædholm Nielsen , +45 24 49 72 81 , mne@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

    Documentation of statistics

    Documentation of statistics: Interest and Share Price Indices

    Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Interest and Share Price Indices 2024 , Previous versions, Interest and Share Price Indices 2023, Interest and Share Price Indices 2022, Interest and Share Price Indices 2021, Interest and Share Price Indices 2020, Interest and Share Price Indices 2019, Interest and Share Price Indices 2018, Interest and Share Price Indices 2017, The purpose of these statistics is to illustrate developments in interest rates and share indices in the financial markets. These statistics are intended for analysis purposes. The daily updates can be found at Nasdaq OMX Nordic or other media covering this financial area., Statistical presentation, The selected information includes for example a selection of money market interest rates, effective rate on leading bonds and share price indices., Read more about statistical presentation, Statistical processing, The primary statistical data are not stored by Statistics Denmark but by the individual producers of the statistics., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The figures originate directly from observations in the financial markets. The published figures are therefore not based on calculations and no estimations are made. The statistics show the actual historical values in the markets and are not revised later. For further information please refer to the authorities that collect the basic information., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 20 to 45 days after the reference period expires depending on the time series. These statistics is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are generally high comparability over time, there may be some problems of comparability for some time series statistics. For comparisons across countries should be obtained from the concerned authority collecting basic information., Read more about comparability, Accessibility and clarity, Data can be found in the following tables in the StatBank: , Danmarks Nationalbanks official interest rates, inter-bank interest rate and average bond, , , Share index, , , The bank's average deposit and lending interest rates, , , Effective rate on bonds, and , Government bond yields by country, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/interest-and-share-price-indices

    Documentation of statistics

    Statistics based on roads and addresses

    Reach your target audience with statistics on roads and addresses, This product allows you to rank roads or streets in a particular geographical area according to where you are most likely to hit a specific audience., Get assistance selecting roads, The product is designed for those who want to reach a specific target group, for example in connection with marketing or other promotional activities. For example, if your company manufactures child bike seats, then this product will help you to only distribute advertising matter on the roads where there is a high proportion of families with at least one child under four years., Multiple options, You can rank the roads or streets in many different ways, for example after the following variables:, household income, educational level, age or sex, List of variables, Documentation - standard variables for statistics on roads and addresses, Combine information, You can also combine the different variables in order to reach exactly the target audience of your interest. Again, if you sell child bike seats at the high end of the market, you can combine the number of families with at least one child under four with a level of household income., Statistics based on roads and streets step by step, Roads are ranked based on statistics, All households are first divided into smaller groups according to the type of road where they are located and, if relevant, according to the type of house. Subsequently, households are grouped into clusters or groups of at least 400 households, which then form the basis for statistics, e.g. household income in intervals. The clusters of households can be formed in three different ways in increasing detail and thus also in precision., The level of detail is also reflected in the price. You can read more about how we create household clusters here:, How do we create clusters, Household clusters with type of housing, Household clusters without type of housing, Prices, Prices per variable vary between approx. DKK 10,000 for the simplest ranking for one municipality to approx. DKK 70,000 for the most detailed variant for the entire country. See the detailed price list here:, Pricelist_RoadsAddresses_2026 - English,  , Ordering, Please click on the button below and fill out the form. , ORDER, Please note that by ordering you accept Statistics Denmark's General Terms and Conditions of Agreements., Contact information, DST Consulting, tel: +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics on the Danish national grid, Staistics based on distances or neighbourhoods,  

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