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Documentation of statistics: Census of Housing

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Census of Housing 2025 , Previous versions, Census of Housing 2024, Census of Housing 2023, Census of Housing 2022, Census of Housing 2021, Census of Housing 2020, Census of Housing 2019, Census of Housing 2018, Census of Housing 2017, Census of Housing 2016, Census of Housing 2016, Census of Housing 2014, The purpose of the housing statistics is to analyze the total housing stock and population housing. The statistics is used in the municipal equalization system. The housing statistics has been conducted annually since 1981. The statistics is comparable from 2010 onwards., Statistical presentation, The statistics are produced on a yearly basis and comprises all homes in Denmark. The statistics and is described through a number of variables; type of dwelling, type of ownership, type of heating installation, toilet, bathing, and kitchen facilities plus the year of construction and also the stock of occupied dwellings by tenure (rented or owner-occupied dwellings) type of household etc. In addition, the number of persons in dwellings by age and gender and number of children. The statistics are also geographically distributed by municipalities, regions and provinces., Read more about statistical presentation, Statistical processing, BBR- and CPR-data are matched via addresses and dwellings are split into dwellings with and without registered population. Inconsistencies are corrected and data summed., Read more about statistical processing, Relevance, Census of Housing is used by ministries, municipalities, companies and private persons., Read more about relevance, Accuracy and reliability, The degree of uninformed information for each variable is very little. Close cooperation between the BBR-authority and the Population Register in each municipality ensures a good match between the addresses in the two registers., All property owners are obliged by law to notify changes such as extensions, demolitions or a new roof to the municipal BBR-authority. It is up to the homeowners to update information in BBR themselves, so it is doubtful that changes, for example in the number of rooms, toilet / bathroom conditions or change of heating are always notified BBR., Read more about accuracy and reliability, Timeliness and punctuality, Data is released timely around 3-5 months after the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, Then Census of Housing has been based on the BBR and CPR-registers since 1. January 1981. With the exceptions of a few variables the data are consistent from 1981. There are though certain reservations for comparison during this time period. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Housing, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: National Elections in Denmark

Contact info, Population and Education , Annemette Lindhardt Olsen , +45 20 59 02 47 , ALO@dst.dk , Get documentation of statistics as pdf, National Elections in Denmark 2019 , Previous versions, National Elections in Denmark 2015, National Elections in Denmark 2014, Statistics Denmark have overtaken the responsibility for making statistics on national elections from the Ministry of Interior in October 2008. It is Statistics Denmark, who make and announce all the official results regarding elections., Statistical presentation, Statistics Denmark has a , election website, . The website is only available in Danish. All results are disseminated on the website. Detailed tables are also available in the Statbank under , Election, a few weeks after an election., Read more about statistical presentation, Statistical processing, Statistics Denmark does some controls. If anything looks strange the responsible municipality is contacted. No corrections are without the consent of the responsible municipality., Read more about statistical processing, Relevance, For many users it is of course extremely important that elections results are ready as fast as possible. For many users it is also important that data is available in formats that they are able to work with themselves., Read more about relevance, Accuracy and reliability, In Danish elections votes are counted manually. The municipalities use an IT-system developed by KMD afterwards. It is only a few very obvious mistakes that Statistics Denmark has any possibility of discovering. E.g. when a result in one area differs significantly from other results within the same constituency. Controls are in place in order to find situations like these., Read more about accuracy and reliability, Timeliness and punctuality, Fast dissemination of results are of course extremely important regarding elections. On election night results are published as they come in. Recounted results are also published as they come in. The first recounted results typically arrives before noon the day after an election and the last one arrives late in the evening., Read more about timeliness and punctuality, Comparability, The electoral structure was changed on 1 January 2007. Results broken down by electoral provinces (landsdele), multi-member constituencies (storkredse) and nomination districts (opstillingskredse) are therefore not comparable for elections before and after 1 January 2007., Read more about comparability, Accessibility and clarity, Election, (only in Danish), Statbank, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-elections-in-denmark

Documentation of statistics

Holiday and business trips

For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists. , Introduction, For decades Spain has been the favorite travel destination for Danes when it comes to long holiday travels with at least four overnight stays. Italy, France, Sweden and Germany normally also attract many Danish tourists., The statistics cover what countries we visit, how long we are there for but also what the purpose of the holiday visit was both in Denmark and abroad. The following are among the most common purposes:, Visit with family or friends, City break, Beach holiday, Holiday house, For long trips the transportation to the holiday destination is mostly frequently by plane. However, the car is most frequently used when it comes to shorter stays abroad with one, two or three overnight stays., The statistics are calculated from a sample survey among Danes aged 15 years or older and also covers numbers for business trips.The numbers cover how much money the holiday or business trips costed on average and whether the accommodation was a hotel/holiday center, holiday house or with family and friends., 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., Leisure and Business Trips, Key figures, In Statbank Denmark, you can find more data on Holidays abroad (FF1), Related content in Holiday and business trips, Tables in Statbank , Scheduled releases , Contact, Kari Anne Janisse Arildsen, Phone: +45 40 43 38 12, Mail: , kjs@dst.dk, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

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

Subject page

Shipping and ports

Port traffic shows the number of calls at the ports — in terms of ships, goods and passengers. The statistics are updated annually, and monthly in an experimental version. In addition, a calculation is made annually of the investments in the ports. , Introduction, Traffic in terms of port calls is compiled on the basis of ports by e.g. type of ship, size and flag state. The statistics also include investments in the ports and maintenance costs., With the exception of the monthly experimental statistics for ship calls at ports, the statistics are updated on an annual basis., Information on the ports comes directly from the ports, while information on investments are from the National accounts., The experimental port call statistics are based on vessel position data (AIS), which is collected by the Danish Maritime Authority.,  , 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., Maritime Transport over Danish Ports, Port calls in Danish sea ports (experimental statistics), Key figures, In Statbank Denmark, you can find more data on Call of cargo ships and cruiser ships on major Danish ports (SKIB23),  ,  , In Statbank Denmark, you can find more data on Investment in seaports (SKIB2),  ,  , These statistics are categorized as 'experimental statistics'. In the , documentation, , it appears more precisely what lies in the experimental status of the statistics. For example, the methods may not be fully tested or new data sources may be used. , Read about Statistics Denmark's work with experimental statistics, ., In Statbank Denmark, you can find more data on Port calls in Danish ports (Experimental statistics) (AIS1),  ,  , Related content in Shipping and ports, Tables in Statbank , Scheduled releases , Contact, Peter Ottosen, Phone: +45 30 42 91 91, Mail: , pot@dst.dk

https://www.dst.dk/en/Statistik/emner/transport/trafik-og-infrastruktur/skibsfart-og-havne

Subject page

Volunteers and charity

How many do voluntary work?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources reffered to below have content in Danish only or limited content in English., The latest Cultural Habits Survey from 2024 by Statistics Denmark’s  includes questions about voluntary work. The tables are broken down by frequency, sex, age and domain in which the voluntary work is performed. See the table , KV2FR1, in StatBank Denmark for frequency and the table , KV2FR2,  by area of work, and , LABY58,  broken down by municipality groups., In the annual publication ", Kultur, " (in Danish) there is a chapter on voluntary work., Statistics Denmark’s survey about participation in voluntary work in 2015 is available in our news series ", Nyt fra Danmarks Statistik, “ (in Danish)., An article from Statistics Denmark’s journalistic series , Bag tallene, (in Danish) from 2019 is it examined in which domains the population is doing voluntary work., The Danish Institute for Voluntary Effort,  is a national centre for development, competences and knowledge for volunteering in the social welfare sector. Since 2010, it has published a report on volunteering – , Frivilligrapporten, (in Danish). The latest issue of the report is ", Det frivillige sociale engagement i Danmark. Frivilligrapport 2019-2021, "., The National Council for Volunteering, has surveys and news (in Danish) on voluntary work and organisations., At the website of the Ministry of Culture Denmark, you will find the survey ", Danskernes kulturvaner 2012, " (in Danish) on the cultural habits of Danes. Chapter 8.4 is about voluntary work., VIVE - the Danish Center for Social Science Research has published the report ", Frivillighedsundersøgelsen 2024, " (in Danish), which looks into the development in the Danes’ voluntary work. VIVE has previously published ", Ældres Frivillige Arbejde, " (in Danish), which examines volunteering among the elderly in the period 1997-2017., SFI, now VIVE, published the report ", Udviklingen i frivilligt arbejde 2004-2012, " (in Danish) mapping volunteering in Denmark 2012 and comparing it with the first survey from 2004., Each year, , Deloitte and the association of fundraising organisations ISOBRO, make an analysis (in Danish) of the development in the revenues of Danish fundraising organisations., [This page was last reviewed in July 2025]

https://www.dst.dk/en/informationsservice/oss/frivillige

Classification of education (DDU), completed educations, v1:2023

Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd

Classification of education (DDU), current educations, v1:2023

Name: , DDU_UDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), current educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Contact: External Economy

Section/Title, Name, Phone, Mail, Senior Adviser, Senior Adviser, Søren Rich , +45 23 74 44 02, sri@dst.dk, Management and Office Support, Head of Division, Head of Division, Katja Møller Hjelvang , +45 28 18 48 47, kmo@dst.dk, Balance of Payments, Chief Adviser, Chief Adviser, Maria José Alvarez Pelaez , +45 30 66 03 21, mjp@dst.dk, Dissemination and analysis team, Senior Adviser, Senior Adviser, Agnes Nansen Urup , +45 40 13 62 87, anu@dst.dk, Head of Section, Head of Section, Emil Flyger Andersen , +45 24 52 43 08, emf@dst.dk, Head of Section, Head of Section, Aron Tsegay Besrat , +45 21 84 82 78, abt@dst.dk, Head of Section, Head of Section, Mai Tham Bech Fanøe , +45 20 26 15 34, mtf@dst.dk, Head of Section, Head of Section, Pernille Leth Hougaard , +45 20 34 26 74, plh@dst.dk, Head of Section, Head of Section, Caroline Amalie Jakobsen , +45 24 46 80 61, cja@dst.dk, Head of Section, Head of Section, Øzge Burcu Köprülü , +45 20 34 45 55, oek@dst.dk, Bachelor, Bachelor, Albana Sopa , +45 20 41 39 93, aso@dst.dk, Head Clerk, Head Clerk, Henriette Matje Jensen , +45 24 92 68 92, hpj@dst.dk, Head Clerk, Head Clerk, Helle Maria Krag , +45 24 92 53 69, hmk@dst.dk, Senior Head Clerk, Senior Head Clerk, Mads Møller Liedig , +45 40 12 97 72, mml@dst.dk, Senior Head Clerk, Senior Head Clerk, Pia Nielsen , +45 30 61 93 05, pin@dst.dk, External Trade in Goods, Chief Adviser, Chief Adviser, Stefan Gottschalck Anbro , +45 51 60 58 46, sfb@dst.dk, External Trade in Services, Senior Adviser, Senior Adviser, Selma Mustafic Mulalic , +45 23 69 46 64, smu@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=02&tlfbogsort=sektion

Contact: Methodology and Analysis

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Peter Tibert Stoltze , +45 26 74 35 83, psl@dst.dk, Analysis, Senior Adviser, Senior Adviser, Magnus Nørtoft , +45 42 46 19 45, mnt@dst.dk, Head of Section, Head of Section, Aske Skov Andersen , +45 20 28 51 37, ake@dst.dk, Data Science Lab, Chief Adviser, Chief Adviser, Laust Hvas Mortensen , +45 91 37 64 21, lhm@dst.dk, Senior Adviser, Senior Adviser, Emilie Rune Hegelund , +45 20 56 47 11, ehe@dst.dk, Senior Adviser, Senior Adviser, Ilya Kashnitsky , +45 21 13 09 82, ikx@dst.dk, Bachelor, Bachelor, Signe Dueholm Nielsen , +45 42 26 22 27, sdn@dst.dk, Student, Student, Laura Wismar Hansen , +45 24 62 57 44, lwh@dst.dk, Student, Student, Jasper Djurs McEwan , +45 24 62 45 36, jam@dst.dk, Method, Chief Adviser, Chief Adviser, Jolien Cremers , +45 24 66 81 33, joc@dst.dk, Chief Adviser, Chief Adviser, Helene Birgitte Feveile , +45 21 34 72 18, hfe@dst.dk, Senior Adviser, Senior Adviser, Mikkel Mollerup , +45 23 35 55 08, mim@dst.dk, Senior Adviser, Senior Adviser, Georg Paludan-Müller , +45 51 53 13 84, gpm@dst.dk, Head of Section, Head of Section, Johan Andresen , +45 23 74 62 13, jhd@dst.dk, Head of Section, Head of Section, Maria Porsman , +45 21 78 39 97, mzp@dst.dk, Bachelor, Bachelor, Philip Porter , +45 20 48 26 53, php@dst.dk, Quality, Chief Adviser, Chief Adviser, Anne Kaag Andersen , +45 91 37 64 25, aka@dst.dk, Chief Adviser, Chief Adviser, Søren Kristensen , +45 20 51 64 42, skr@dst.dk, Chief Adviser, Chief Adviser, Ole Schnor , +45 52 50 77 37, osc@dst.dk, Senior Adviser, Senior Adviser, Rohan James Draper , +45 21 33 89 16, rjd@dst.dk, Head of Section, Head of Section, Anna Dorthe Bracht Nielsen , +45 29 33 59 20, abn@dst.dk, Senior Head Clerk, Senior Head Clerk, Anette Nymand Rasmussen , +45 23 70 86 66, alu@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=22&tlfbogsort=sektion

New Pricing Model

In 2026, Research Services at Statistics Denmark will introduce a new pricing model that will affect all users of Statistics Denmark’s microdata schemes – initially for new projects established in 2026., The pricing model in Denmark’s Data Portal is closely linked to the introduction of broader projects. The logic is to offer broad, long-term projects that can be used for several activities within a defined purpose. Therefore, the price will also be based on the fact that a large part consists of fixed annual costs throughout the project’s lifetime., With the possibility of access to broader projects, changes will be introduced in the new year regarding how data are ordered, as well as adjustments to the current pricing model in Research Services. In the new pricing model, we are introducing “Data Packages.” Each data package includes a set of registers belonging to a specific theme, which is expressed in the title of the data package. You can see an overview of the data packages and where the individual registers belong here (in Danish)., Datapakker (pdf), You will pay for the number of data packages you are approved for and for the number of project accesses associated with each project. These elements cover the costs related to data delivery. In addition, there will be charges for special services that are ordered (such as consultancy, external data, and possible population delineations). You can read more about the new pricing model here (in Danish)., Ny prismodel i Forskningsservice (pdf), The new pricing model will be implemented in two stages: on 1 January 2026 and 1 January 2027. All new projects from 1 January 2026 onwards will be under the new pricing model. Projects established before 2026 will transition to the new pricing model after 1 January 2027, at the time when the first new order is placed. You can read more about the transition arrangement here (in Danish)., Overgangsordning (pdf), If you are interested in learning more about the pricing structure and the components included in the new model (including the costs related to data delivery, services, and disk storage), you can read more here (in Danish)., Komponenter i prismodellen (pdf), The new pricing model will take effect for project databases and subprojects in 2027. Read more about how the new pricing model affects project databases., Projektdatabaser og den nye prismodel (pdf), If you have any questions, you are welcome to contact us at , FSENyPrismodel@dst.dk

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/prismodel