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Documentation of statistics: Housing benefits

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing benefits 2025 , Previous versions, Housing benefits 2024, Housing benefits 2023, Housing benefits 2022, Housing benefits 2021, Housing benefits 2020, Housing benefits 2019, Housing benefits 2018, Housing benefits 2017, Housing benefits 2016, Housing benefits 2015, Housing benefits 2014, Housing benefits 2013, Documents associated with the documentation, Social tryghed i de nordiske lande (pdf) (in Danish only), Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published three months after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Housing benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/housing-benefits

Documentation of statistics

Documentation of statistics: Sales of real property

Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of real property 2025 , Previous versions, Sales of real property 2024, Sales of real property 2023, Sales of real property 2022, Sales of real property 2021, Sales of real property 2020, Sales of real property 2019, Sales of real property 2018, Sales of real property 2017, Sales of real property 2016, The statistics for Sales of real estate property measure the number of sales and prices of transactions of Danish real estate properties. The statistics are used for monitoring developments in the real estate market, as well as economic developments. The current price indices link back to 1992. There are price indices for previous years, but there are methodological differences., Statistical presentation, This statistics are published monthly including price and volume trends in real estate transactions, such as one-family houses, owner-occupied flats, agricultural properties and business properties. These statistics contain key figures broken down by category of real estate property, region, type of transfer, price index and period. The statistics include all registered real estate transactions, which include land, both newly built and existing properties., Read more about statistical presentation, Statistical processing, Data concerning the registration of ownership of real estate properties is collected on a monthly basis from the electronic land registration system via Datafordeleren. The data is checked for errors by Statistics Denmark. The individual real estate transactions are divided according to category of real property, region, type of transfer and period. Aggregated figures are then calculated for number of sales, average prices and the ratio between purchase price and appraisal value (spar-value). Finally, the price index is calculated., Read more about statistical processing, Relevance, There is a great interest for the published numbers among users, which follows the currently economic business cycle. The statistics of sales of real properties are relevant for the banking- and financial sector, real estate agents, politicians, researchers and the news media. The users consider the statistics for sales of real estate properties as an important economic indicator. The statistics have a high profile in the press and among other professional users., Read more about relevance, Accuracy and reliability, The precision of the price development is the result of the quality of the appraisals and of the assumptions in the SPAR-method, which seeks to correct the quality of the sold properties in order to measure the pure price development. There is no significant bias in the preliminary figures for the price development, while the preliminary figures for the average prices are underestimated, as they are not corrected for the bias in the registration pattern., Read more about accuracy and reliability, Timeliness and punctuality, The statistics for sales of real property publish preliminary quarterly and annual figures 3 months after the end of the reference period. Monthly figures are published only as final figures. Final figures are available 13 months after the end of the reference period. The statistics are published without delays in the planned releases. , Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for sales of real properties is published in , News from Statistics Denmark, . Detailed figures can be found in , StatBank, and in the [Online payment data bank](https://www.dst.dk/betalingsdatabank. Historical figures can be found in the publication series , Ejendomssalg, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-real-property

Documentation of statistics

Vietnam 2025-2027

Statistics Denmark is implementing the second phase of a Strategic Sector Program in Vietnam financed by the Danish Ministry of Foreign Affairs. Our partner is the National Statistics Office of Vietnam (NSO), which is the main producer of official statistics in Vietnam., About Denmark’s Strategic Sector Cooperation,  (on the homepage of the Ministry of Foreign Affairs), Long-term ambitions, The second phase of collaboration between Statistics Denmark and NSO aims to strengthen the role of NSO and enhance the statistical system's capacities in the data ecosystem. This will enable politicians to make informed decisions and support the development of the Vietnamese society in general and the just green transition in particular., The second phase naturally builds on the results achieved in the first phase. During the first phase, opportunities of working with administrative microdata have been explored and the journey towards digitizing the statistical production of national statistics is still long. For the concept of using external administrative microdata to produce statistics at NSO there is still a strong need to build trust between the public institutions in sharing data for statistical purpose. In addition the basic structure of data landscape and classifications – as well as the overall legal framework to support enhanced exchange of microdata – must be in place before the development can really accelerate. To take the next steps there are no possibility of cutting corners or using advanced technology to solve the challenges. It is evident based on the learnings from Phase I that the mapping and streamlining of basic data and registers must be in place and well documented before any more advanced steps can be taken.,  , Strategic outcomes, The project has three strategic outcomes:, Improved statistical frameworks (or systems) supporting a just green transition in Vietnam through strengthening NSO capacities to work with adequately and appropriately disaggregated survey and administrative data for statistics, for digitalisation processes and for communication., NSO has strengthened their role as a trusted data provider, their capacities to cooperate and access relevant sector data, and their provision of relevant and in-demand statistics to government, private institutions and the general public relevant to a just green transition., Accelerated required decisions on viable data-solutions for the data ecosystem including but not limited to those of relevance to a just green transition enabled by partners through exposition to Danish data-solution companies and the Danish Public Private Partnership (PPP) data-ecosystem of statistics., Areas of collaboration, Strengthening NSOs capacity and the national statistical system to work with administrative and survey data for statistical purposes is  done by improving the economic modelling, digitalising prioritised statistical processes, working on IT and data security issues, improving their quality work, and providing technical support to the further development of the implementation of The System of Environmental Economic Accounting (SEEA)., Besides, bilateral relations and green diplomacy in support of NSO’s role in delivering statistics relevant to the green transition will be enhanced through high-level meetings, conferences and study visits.

https://www.dst.dk/en/consulting/projects/vietnam-2025-2027

Contact: Consulting

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Mikael Skovbo , +45 41 31 74 27, mik@dst.dk, Executive chief consultant, Executive chief consultant, Asger Bjerre Mikkelsen , +45 23 30 39 14, ami@dst.dk, Senior Head Clerk, Senior Head Clerk, Vivian Hofverberg Flindt , +45 31 16 42 28, vhf@dst.dk, Administration and Marketing, Head of Section, Head of Section, Claus Flyger , +45 30 55 09 32, cfl@dst.dk, Head of Section, Head of Section, Jesper Povlsen , +45 23 74 70 06, jpo@dst.dk, Head Clerk, Head Clerk, Kira Vest Lyberth Nielsen , +45 20 26 19 40, kvn@dst.dk, Senior Head Clerk, Senior Head Clerk, Thomas Rune Nielsen , +45 23 69 06 68, trn@dst.dk, Senior Head Clerk, Senior Head Clerk, Katrine Holm Wessmann , +45 21 17 16 76, kwh@dst.dk, System Analyst, System Analyst, Lucero Jønsson , +45 23 66 36 33, llj@dst.dk, Data consultants, Senior Adviser, Senior Adviser, Amy Frølander , +45 29 46 73 77, amf@dst.dk, Senior Adviser, Senior Adviser, Louise Rasmussen , +45 21 52 30 34, lop@dst.dk, Senior Adviser, Senior Adviser, Emil Thranholm , +45 29 63 22 97, eth@dst.dk, Head of Section, Head of Section, Gustav Andersen , +45 29 33 70 04, gan@dst.dk, Head of Section, Head of Section, Sarah Neisig Andersen , +45 20 35 32 12, snd@dst.dk, Head of Section, Head of Section, Alexander Pfeiffer Cappelen , +45 23 63 72 52, apf@dst.dk, Head of Section, Head of Section, Doaa El-Chamma , +45 21 36 66 29, dch@dst.dk, Head of Section, Head of Section, Allan Hansen , +45 23 24 93 58, hnn@dst.dk, Head of Section, Head of Section, Lonnie Graversgaard Jensen , +45 30 35 72 92, lnj@dst.dk, Head of Section, Head of Section, Laurits Mikkelsen , +45 23 62 39 79, lmi@dst.dk, Head of Section, Head of Section, Bodil Birkebæk Olesen , +45 23 29 35 25, boo@dst.dk, Head of Section, Head of Section, Maria Porsman , +45 21 78 39 97, mzp@dst.dk, Head of Section, Head of Section, Nanta Veliovits , +45 21 20 98 79, nav@dst.dk, International Consulting, Chief Adviser, Chief Adviser, Timmi Rølle Graversen , +45 21 59 63 41, trg@dst.dk, Chief Adviser, Chief Adviser, Klaus Munch Haagensen , +45 22 41 71 82, kmh@dst.dk, Chief Adviser, Chief Adviser, Jesper Ellemose Skou Jensen , +45 40 51 30 56, jej@dst.dk, Chief Adviser, Chief Adviser, Linnea Lue Kessing , +45 23 35 20 89, lke@dst.dk, Senior Adviser, Senior Adviser, Charlotte Nielsen , +45 40 24 89 19, cln@dst.dk, Senior Adviser, Senior Adviser, Emil Aurehøj Persson , +45 21 15 77 82, eap@dst.dk, On a foreign assignment (RTA), Phare-Ekspert, Phare-Ekspert, Niels Madsen , +45 21 26 77 29, nim@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=15&tlfbogsort=sektion

Documentation of statistics: Accounts Statistics by Industry

Contact info, Food Industries, Business Statistics , Charlotte Wind von Bennigsen , +45 24 21 42 30 , cwb@dst.dk , Get documentation of statistics as pdf, Accounts Statistics by Industry 2024 , Previous versions, Accounts Statistics by Industry 2023, 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. The statistics are released on time, with no delays relative to the planned publication dates., 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 under the subject , Enterprise finance and accounts, . 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: Environmental Protection Expenditures

Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , HHU@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions, Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

Documentation of statistics

Documentation of statistics: ICT-Expenditure in Enterprises

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, ICT-Expenditure in Enterprises 2016 , Previous versions, ICT-Expenditure in Enterprises 2015, ICT-Expenditure in Enterprises 2014, ICT-Expenditure in Enterprises 2013, The purpose of the survey 'ICT expenditure' is to examine the extent of ICT expenditures in the private sector. The survey contributes to the description of the information society. The survey was conducted for the first time in autumn 2004., Statistical presentation, Private sector, : The survey examines ICT expenditure in enterprises . Variables include hardware, pre-packaged and customised software, other ICT equipment (telecommunication equipment, audio and video equipment and other ICT equipment) and ICT consultancy. For enterprises in the private sector, the total ICT expenditure is estimated by industry and size groups. Moreover, expenditure in the different sub-groups of expenditure type is estimated, see above., The public sector, (state and municipalities): ICT expenditure is not collected since 2007., Read more about statistical presentation, Statistical processing, Population of enterprises are selected according to ownership, activity (NACE code) and number of employee (more than 10 full time equivalent), The drawing of sample is coordinated with the SBS accounting statistics., Errors in sum are corrected and outliers are identified, contacted and eventually corrected., Weights are estimated for 60 strata and the recordings of each enterprise is multiplied according to the strata., Read more about statistical processing, Relevance, Statistics is used in business organizations, service contracts with ICT enterprises, ministries and the results are included in research projects., Read more about relevance, Accuracy and reliability, Approx 3,200 responses have been used in the grossing up procedure. The results are grossed up so that they correspond to full coverage of the surveyed industries and size groups. Each enterprise in the sample is assigned a weight such that it represents a certain number of enterprises in the population. The grossing up procedure is based on the number of enterprises, and the number of fulltime employees within employment groups. Regarding the enterprises the response rate is 95 per cent for the survey. Loss is due to bankruptcy, take over, etc. The high response rate indicates that results are reliable as the statistical variance indicates. Measures of inaccuracy for selected variables are available., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are published on time one year and 4 month after reference year., Read more about timeliness and punctuality, Comparability, Comparable figures from 2008 and forward. Eurostat have collected data for 2009 and 2012 not yet published by Eurostat., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, Yearbook: Information Society Denmark., Main results are accessible at the website of Statistics Denmark and at Statbank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-expenditure-in-enterprises

Documentation of statistics

Documentation of statistics: Eggs Production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Eggs Production 2025 , Previous versions, Eggs Production 2024, Eggs Production 2023, Eggs Production 2022, Eggs Production 2021, Eggs Production 2020, Eggs Production 2019, Eggs Production 2018, Eggs Production 2017, Eggs Production 2016, Eggs Production 2015, Eggs Production 2014, The purpose of the statistics on egg production is to describe the quantity and value of eggs produced in Denmark. The statistics on eggs have a long history and date back to the 20th century. Since 1955, the statistics have been compiled on the same basis as is used today. From 1996 and onwards, the production of consumer eggs divided into production forms: i.e. eggs from caged hens, barn eggs, free-range eggs and organic eggs. , Statistical presentation, The statistics for eggs production are a quarterly and yearly measurement of the total production of eggs for human consumption and hatching eggs in Denmark. The total production of eggs includes sales to authorized packing companies and estimates for the producers' consumption of own eggs and their direct sales to consumers. The total production of eggs to authorized egg packaging centers is subdivided into the following production types: Cage eggs, barn eggs, free range eggs and organic eggs. In addition, ungraded eggs sold (barn door sales) and used on agricultural holdings are estimated. , Read more about statistical presentation, Statistical processing, Data is collected quarterly from the egg packers on the sale of weighed eggs for consumption by types of eggs. It is a random sample that covers over 90 per cent. of the total eggs weighed. The reported data is searched for errors, after which the searched data are added to the total quantities of eggs. Every month information about hatching eggs is collected from the hatcheries. Data comes from administrative records. The data received is checked for completeness and consistency as well as consistency with previous periods., Read more about statistical processing, Relevance, It is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts., Read more about relevance, Accuracy and reliability, Data on the eggs weighed in the packing centers has a high quality, as it is mandatory for egg producers to report this data with the Danish Veterinary and Food Administration. The same applies to the number of hatching eggs where it is compulsory for them to be registered in the Ministry of Food., The estimation of eggs for own consumption and sales directly to consumers is estimated. This consumption is set at 12 million kg annually and is separated separately in the Statbank. , Read more about accuracy and reliability, Timeliness and punctuality, The figures for quarters are usually published approx. 2 months after the end of the quarter. In recent years there has been trouble publishing numbers to the pre-announced time, since data has first been available approx. 2 months after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the 20th century but are in their present form comparable from 1997 onwards. Most European countries compile statistics on egg production and the statics are therefore comparable to statistics from other countries within the EU. Data enter into the Economic Accounts for Agriculture, which also enter into the National Account., Read more about comparability, Accessibility and clarity, In StatBank, figures are published under the topic of , Livestock production, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/eggs-production

Documentation of statistics

Contact: Finance, HR and Service

Section/Title, Name, Phone, Mail, IT supporter trainee, IT supporter trainee, Mikkel Mørch Eddelien , +45 23 46 46 29, mme@dst.dk, Office Trainee, Office Trainee, Malene Boie Simonsen , +45 21 44 34 78, moe@dst.dk, Student, Student, Louise Bøe Thomsen , +45 23 84 00 69, bot@dst.dk, Management and Office Support, CFO, CFO, Jakob Vestergaard , +45 20 20 18 38, jbv@dst.dk, Development and Results, Senior Adviser, Senior Adviser, Katrine Houbak Hertel , +45 23 71 13 08, khh@dst.dk, Finance, Chief Adviser, Chief Adviser, Malene Nygaard Uldahl , +45 20 40 33 14, mnu@dst.dk, Senior Adviser, Senior Adviser, Edyta Beata Banas Hansen , +45 21 16 85 34, ebb@dst.dk, Senior Adviser, Senior Adviser, Jasper Hartmann Jørgensen , +45 40 29 47 60, hrt@dst.dk, Senior Adviser, Senior Adviser, Helle Kofoed Larsen , +45 20 47 87 23, hla@dst.dk, Executive chief consultant, Executive chief consultant, Susanne Clausen , +45 20 16 14 17, shc@dst.dk, Senior Clerk, Senior Clerk, Mette Kjeldahl Wrona , +45 23 32 53 97, mwr@dst.dk, Senior Head Clerk, Senior Head Clerk, Pernille Gregersen , +45 40 13 85 96, pgr@dst.dk, Senior Head Clerk, Senior Head Clerk, Bodil Jonasen , +45 20 47 77 52, bjn@dst.dk, Senior Head Clerk, Senior Head Clerk, Anita Kristensen , +45 20 47 35 43, aak@dst.dk, Student, Student, Hanna Navasser , +45 21 16 74 83, hnv@dst.dk, HR, Chief Adviser, Chief Adviser, Helle Thejn , +45 21 52 82 40, hth@dst.dk, Senior Adviser, Senior Adviser, Laura Winther Milde , +45 20 16 27 63, lwm@dst.dk, Head of Section, Head of Section, Celina Jancey , +45 21 25 90 68, cel@dst.dk, Executive chief consultant, Executive chief consultant, Anne Engholm Jelby , +45 21 47 36 26, aeh@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Ehlig Hansen , +45 24 93 35 73, tie@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Juul , +45 20 46 27 18, kjj@dst.dk, Senior Head Clerk, Senior Head Clerk, Linda Juvald , +45 21 19 62 18, ljv@dst.dk, Senior Head Clerk, Senior Head Clerk, Pia Kraag Krüger , +45 24 25 95 07, pkr@dst.dk, Senior Head Clerk, Senior Head Clerk, Sonja Tesch , +45 24 37 26 17, sba@dst.dk, Internal services, Senior Head Clerk, Senior Head Clerk, Gitte Hansson , +45 22 26 70 04, gpt@dst.dk, Office Trainees, Office Trainee, Office Trainee, Monique Neergaard-Nielsen , +45 29 27 35 53, moq@dst.dk, Office Trainee, Office Trainee, Sara Louise Bøggild Nielsen , +45 21 79 96 38, sbo@dst.dk, Office Trainee, Office Trainee, Helle Schandorff Eriksen , +45 24 49 12 01, hse@dst.dk, Office Trainee, Office Trainee, Signe Tarp , +45 23 42 89 73, sig@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=07&tlfbogsort=sektion

Documentation of statistics: Sports Participation

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Sports Participation 2025 , Previous versions, Sports Participation 2024, Sports Participation 2023, Sports Participation 2022, Sports Participation 2021, Sports Participation 2020, Sports Participation 2019, Sports Participation 2018, Sports Participation 2017, The purpose of the statistics is to highlight sports participation and results of the population and the professional athletes in Denmark. The statistics describes sports activities, the population's sports and exercise habits, attendances to sports events and Danish sports medal winners in international competitions. The earliest data series in the statistics start from 2007. The statistics in their current form are comparable with other publications of the original sources, eg the Central Association Register, and the Sports Research Institute's surveys of Danes' sports habits., Statistical presentation, The statistics contain information on activity from the sport associations, time series with main results from surveys of the population's sports habits, spectator and number of matches for selected sports and leagues, and an overview of Danish and foreign winners of international sports medals., Read more about statistical presentation, Statistical processing, The statistics of the sports associations' members' and medals for Danish athletes' performances are received from the Central Association Register and from DIF's medal overview. Selected results from IDAN's surveys of the population's sports habits are received in the form of special extracts. Spectators for selected sports and leagues are collected from the relevant federations. Data for statistics of ranking, are collected from DIF and Gracenote., Data are validated by a comparison with previous years' results and tabulated., Read more about statistical processing, Relevance, The statistics are relevant to professionals in institutions, organizations and public authorities as the basis for, for example, forecasts, analyzes and planning purposes. In addition, several of the statistics results are relevant to interested users for the lighting of sports topics., Read more about relevance, Accuracy and reliability, The overall accuracy and reliability of the results of the members' activities of the sports organizations, international medals, ranks and attendance is considered to be high, as it is build on register information from central and authoritative sources. The statistics do not take into account missing reports to resp. the Central Association Register or the federations. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of spectators to a club game. , Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately four months after the end of the reference period. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, Comparison of statistics with other countries in the area is not made. Certain results are comparable to other publications of the original sources, such as the Central Sports Association Register and results from the Sports Institute's studies of population's sports and exercise habits., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports Participation, and in the annual publication on Culture., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-participation

Documentation of statistics