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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: 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: Foreign Students

Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , MPS@dst.dk , Get documentation of statistics as pdf, Foreign Students 2024 , Previous versions, Foreign Students 2023, Foreign Students 2022, Foreign Students 2021, Foreign Students 2020, Foreign Students 2019, Foreign Students 2018, Foreign Students 2017, Foreign Students 2016, Foreign Students 2015, Foreign Students 2014, Foreign Students 2013, The purpose of this statistic is to give a description of Danish students' study visits abroad and foreign students' study visits in Denmark within the field of higher ordinary education., Statistical presentation, The statistics related to exchange students give an annual counting of the number of student exchange programs at ISCED 2011-level 5-6 and 7 educational programs. The statistics is divided by the length of the exchange period, education, geographical area and the exchange students' gender., Read more about statistical presentation, Statistical processing, Data are sent in electronically format to Statistics Denmark. Various control procedures are applied to assure correctness in the data. If necessary the educational institutions are contacted to clarify. In all cases the data are total counts., Read more about statistical processing, Relevance, The statistics of exchange students is used e.g. by ministries, researchers, politicians, educational institutions, offices of the educational institutions and other interested parties. The purposes are related to planning (public and private) research, education, measuring of internationalization and debate., Read more about relevance, Accuracy and reliability, The Statistic is, in general, very precise. There are a limited number of uncertainties but their influence on the final result is minimal. The statistic is published with all known information available and no revisions are usually needed., Read more about accuracy and reliability, Timeliness and punctuality, Data for the statistic about exchange students are reported from the educational establishments during January and February. The results are published during spring that year. In general the statistic is published according to the announced time., Read more about timeliness and punctuality, Comparability, The Statistical unit of the Universities also publish statistics on exchange students. This statistics counts students being registered at the institutions and not finished stays as Statistics Denmark. Danish students will, in general, have the same registered education in Demark and on their exchange trip. However there can be differences which is usually because of one of two cases: 2. Some students are on exchange on a bachelor or masters education, while registered on a PH.D. in Denmark, this is possible because some students begin a PH.D. before ending their bachelor/masters degree., Read more about comparability, Accessibility and clarity, In the StatBank Denmark the statistics is published under the subject , Exchange students, . For more information please check the statistic's , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Analyses: The global organisation of industrial groups has an impact on the measurement of Danish production and income

The way in which Danish enterprises choose to organise their production and sales in the global economy impacts whether it is reflected as domestic production and value added (GDP) or only as income (GNI) in the national accounts. When Danish enterprises sell products abroad, the activities are included in Danish GDP, whereas income based on sales via subsidiaries abroad is only included in GNI. In this way, the choice of sales channel impacts the statistics on Danish production and income., This analysis describes the global set-up of Danish industrial groups and their impact on the Danish economy. Focus is on the close correlation between Danish exports and in-come from subsidiaries abroad. The analysis is an extension of a Statistics Denmark analysis from 2016 dealing with goods exports outside Denmark by Danish manufactu¬ring enterprises. Income data from the central bank of Denmark, Nationalbanken, has allowed us to further document the importance of the industrial groups to the Danish economy., Main conclusions:, The industrial groups are important to the Danish economy; they export goods and services produced in Denmark or abroad and receive income from subsidiaries abroad. , In 2016, Danish industrial groups’ sale abroad of goods not crossing the Danish border accounted for almost a third of their total sale of goods abroad of DKK 524 billion., The income from subsidiaries of DKK 42.1 billion accounts for approximately one third of total earnings from Danish industrial groups’ manufacturing activities abroad. These ear-nings could have been counted as exports had the group chosen a different role for the production taking place in subsidiaries abroad., In 2016, the industrial groups’ activities abroad accounted for approximately 6 per cent of the Danish gross national income (GNI) and approximately 4 per cent of the gross domestic product (GDP).,  , This is a translation of an analysis previously published in Danish 1 October 2018. See the analysis , here., Get as pdf, The global organisation of industrial groups has an impact on the measurement of Danish production and income, Colophone, The global organisation of industrial groups has an impact on the measurement of Danish production and income, Subject group: Economy, Released: 27 May 2019 08:00, No. 2019:7, ISSN pdf: 2446-0354, Contact:, Mads Møller Liedig, Telephone: +45 40 12 97 72

Analysis

Analyses: Large language models and the Danish labour market

Generative artificial intelligence (AI) tools such as large language models are spreading rapidly. The most prominent example is ChatGPT, which gathered more than 100 million active users within two months. This type of generative AI has the potential to change the way people work, creating opportunities for innovation and productivity gains. However, the opportunities and challenges will most likely be unequally distributed across the workforce., This analysis explores the unequal economic impact of large language models (LLMs) on the Danish Labour Market. The analysis uses the so-called AI Occupational Exposure (AIOE) scores from a study of the American labour market and merges these scores with administrative data from Statistics Denmark. The AIOE scores reflect the relatedness between AI applications and human abilities connected to different occupations. Thus, the scores express potential economic impact of AI applications across occupations through either labour-augmenting or labour-displacing effects., Main conclusions:, Occupations dominated by cognitive routine tasks have the highest potential to change through large language models. , Legal Professionals, is the occupation with the highest LLM score. The occupation with the lowest score is , Painters, building structure cleaners & related trades worker, ., Economic activities influenced by cognitive abilities have higher LLM scores than activities dominated by physical tasks. The activity with the highest LLM score is , Higher Education, . The activity with the lowest score is , Building completion and finishing, ., Employed females altogether have more potential to apply large language models than employed males. However, within , Human Health & Social Work activities, women have a slightly lower LLM score than males., Employees with high personal yearly income generally have more potential to use and take advantage of large language models than employees with lower income.,  , The analysis is available in Danish here: , Store sprogmodeller og det danske arbejdsmarked,   , Get as pdf, Large language models and the Danish labour market, Colophone, Large language models and the Danish labour market, Subject group: Labour and income, Released: 8 February 2024 08:00, No. 2024:2, ISSN pdf: 2446-0354, Contact:

Analysis

Publication: International Sourcing - Moving Business Functions Abroad

Publikationen tegner et billede af outsourcing i Danmark, Sverige, Norge, Finland og Holland fra 2001 til 2006., Hvad er outsourcing?, Outsourcing er hel eller delvis udflytning af forretningsaktiviteter (kerne- eller hjælpefunktioner), der i udgangspunktet udføres internt i virksomheden. , Outsourcing kan foregå til selskaber inden for samme koncern eller til andre (eksterne) virksomheder, der kan være lokaliseret i Danmark eller i udlandet., Hver femte danske virksomhed outsourcer til udlandet, Det fremgår af publikationen, at Danmark er i front med outsourcing til udlandet. , 19 pct. af de danske virksomheder med 50 ansatte eller derover har outsourcet til udlandet i perioden 2001-2006. Det tilsvarende tal for finske virksomheder er 16 pct., norske 14 pct., hollandske 14 pct. og svenske virksomheder 4 pct., Publikationen kommer ind på bl.a.:, motiverende faktorer for sourcing, barrierer for sourcing, destinationer for outsourcing, tab af job, kernefunktioner (produktion mv.), støttefunktioner (it, forskning og udvikling mv.), forventninger til fremtidig international sourcing., Læs konklusioner fra publikationen i , Nyt fra Danmarks Statistik, ., International undersøgelse, Den danske del af undersøgelsen er baseret på en spørgeskemaundersøgelse blandt virksomheder, der repræsenterer næsten 60 pct. af den samlede beskæftigelse i de private byerhverv., Undersøgelsen indgår i et større projekt i Økonomi- og Erhvervsministeriet om danske virksomheders outsourcing. , Undersøgelsen er samtidig en del af en fælles europæisk undersøgelse, der er medfinansieret af Eurostat og gennemført af 14 nationale statistikkontorer., Danmarks Statistik har koordineret dels selve EU-undersøgelsen og dels den fælles publikation med de statistiske kontorer i Finland, Holland, Norge og Sverige., Få flere oplysninger om undersøgelsen på , www.dst.dk/globalisering, ., Get as pdf, Hele publikationen, Colophone, International Sourcing - Moving Business Functions Abroad, Business, ISBN: 978-87-501-1695-0, Released: 10 June 2008 09:30, No of pages: 89, Contact info:, Peter Bøegh, Phone: +45 41 10 31 41

Publication

Publication: Danish GDP and GNI, Sources and methods 2012

The publication describes in detail the sources and methods used for the compilation of gross domestic product, GDP, and gross national income, GNI. It replaces the previous documentation “Danish National Accounts – Sources and Methods 2003” from 2007. With the new documentation the description of sources and methods is brought up to date and reflects the current compilation methods, international guidelines (ESA2010) and classifications. The publication follows a common structure used by all EU member states and is available in English only., The documentation uses 2012 as a reference year, but the descriptions relate to the sources and methods generally used in the compilation of final GDP., Final GDP is compiled at the most detailed level using all available relevant sources for describing the economic activity within the national accounts framework. Examples are account statistics for private enterprises, government finance statistics, household budget survey and foreign trade statistics. In order to fit all this information into one figure – GDP – an extensive amount of adjustment must be made. Also, confronting data at the detailed level reveals inconsistencies in the sources that must be overcome. In the Danish national accounts this confrontation of data takes place in the Supply-use tables which contains 2 350 products and 117 industries., As a supplement to the description in the publication, the process from primary statistics to final GDP is also presented in a schematic form – the so-called , process tables, ., Get as pdf, Danish GDP and GNI, Sources and methods - 2012, Title, colophone, preface and content, Chapt. 1 Overview of the system of assounts, Chapt. 2 The revisions policy and the timetable for revising and finalizing the estimates, Chapt. 3 The production approach, Chapt. 4 The Income Approach, Chapt. 5 The expenditure approach, Chapt. 6 The balancing or integration procedure and validating the estimates, Chapt. 7 Overview of the allowance for exhaustiveness, Chapt. 8 The transition from GDP to GNI, Chapt. 9 Main classifications used, Chapt. 10 Main data sources used, Annex, Colophone, Danish GDP and GNI, Sources and methods, Economy, ISBN pdf: 987-87-501-2229-6, Released: 15 August 2016 09:00, No of pages: 287, Contact info:, Annette Thomsen, Phone: +45 22 16 62 51

Publication

Publication: ICT usage in households and by individuals - EU benchmark 2016

This publication describes Europeans’ use of ICT in a broad perspective based on responses from a representative sample of citizens in Denmark and other EU Member States in 2016. Data was collected using a harmonised questionnaire that enables comparisons across countries., The survey describes the use of internet in general, including access to internet, use of e-commerce, social media, use of internet banking as well as online self-service. Various questions on ICT security and protection of personal infor­mation are dealt with in the last section of the publication., The statistics confirm the conclusion reached in other studies; Denmark is still among the EU front-runners in terms of ICT usage by citizens. This applies to e.g. online self-service, online shopping, use of internet banking and social net­working services., Highlights from this year’s survey:, Danes often , shop , on the , internet , At 83 per cent, the United Kingdom has the largest percentage of people who shop online, closely followed by Denmark in second place at 82 per cent. Online shopping in the EU is generally more common among men. The situation in Denmark is opposite. Danish women have overtaken men in shopping online., Danes best in the EU, at online self-service, Denmark leads the EU with regard to online self-service. A total of 88 per cent of Danes have visited public-authority websites, against the European average of 48 per cent for EU citizens. The percentage of Danes who submit completed forms to public authorities has doubled since 2008., 53m Europeans have never been online, 14 per cent of Europeans aged 16-74 are not online. This corresponds to around 53 million people.71 per cent of EU citizens are on the internet daily. The figure is 89 per cent in Denmark. Denmark is one of the countries with the lowest share of people who are never on the internet (2 per cent)., This publication is based on information in the survey of ICT usage in households and by individuals 2016. The survey is based on a common EU questionnaire (ICT usage by individuals and in households 2016)., Get as pdf, ICT usage in households and by individuals - EU benchmark report 2016, Colophone, ICT usage in households and by individuals - EU benchmark , Culture and leisure, ISBN pdf: 978-87-501-2258-6, Released: 1 June 2017 09:00, No of pages: 43, Contact info:, Agnes Tassy, Phone: +45 24 81 48 78

Publication

Publication: Agriculture and Danish farm returns through 100 years 1916-2015

Since the first farm returns were reported for statistical purposes for the , financial year 1916-17, , Danish agriculture has lived through quite a few things., In the first year of the statistics, World War I implied that the countries at war experienced increased demand for e.g. food. As a result, Denmark, which did not participate in the war, was able to sell agricultural products at high prices. By contrast, it was difficult to export in the years of recession in the 1930s and it was necessary to implement emergency farm aid, e.g. in order to reduce high levels of debt.,      2. World War II boosted the technological development and, in the post-war years, horses were ,      increasingly replaced by engine power., When Denmark became a member of the EEC in 1973, new demands were made on the agricultural accounts in the statistics, which were to conform to the same method as that of the other member countries. With the book , Agriculture and Danish farm returns through 100 years,, Statistics Denmark gives the reader an insight into Danish agriculture and its development, in particular in the 20th century., The publication includes e.g.:, Mechanisation and specialisation of the agricultural sector, which has experienced soaring productivity., Accounting figures for 100 years, which show e.g. the development in gross output, operating costs, economic indicators, capital and debts., The preparation of the statistics has undergone method changes, increased the level of detail and, as a result, it has become more applicable in research., Moreover, the table, JORD100, has been added to Statbank.dk to mark the centennial year for the agricultural accounts., Here you can extract accounting figures for agriculture back to 1916 and up to 2015, , which is the last stated year with accounts statistics for agriculture, (only in Danish).,  , Get as pdf, Agriculture and Danish farm returns through 100 years, Colophone, Agriculture and Danish farm returns through 100 years, Business, ISBN pdf: 978-87-501-2279-1, Released: 28 September 2017 09:00, No of pages: 59, Contact info:, Henrik Bolding Pedersen, Phone: +45 20 57 88 87

Publication

Analyses: How big are Danish exports and who are our main trading partners?

In recent decades it has become more common to produce goods across national borders. Increasing globalisation challenges our understanding of what a country's exports encompass and what different statistical measures of exports show., Previously, different export statistics provided a fairly similar picture of Denmark’s exports and trading partners. However, an increasing proportion of Danish exported goods never crosses Danish borders, and that has resulted in increasing differences across the various export statistics. This analysis describes Danish exports and trading partners, based on the different export statistics., Main conclusions:, Danish exports in goods are largest when measured in Denmark’s balance of payments, where the sale of goods that have never crossed Danish borders are included as exports. Today, around a sixth of the total Danish export of goods takes place outside of Danish borders., Only goods which have crossed the Danish border are classified as exports in the international trade in goods statistics which implies that the export of goods appears lower here than in the balance of payments., Exports appear lowest when measured by Danish value added, as these calculations discount the value of the imports included in the production of the exported goods and services. Estimates from an Input-Output model in Statistics Denmark suggest that imported contents in exported goods and services constitute nearly half of the total value. , Regardless of the type of export statistics, Germany is Denmark’s most important export market., On the basis of goods which cross the Danish border, the US is Denmark’s sixth largest export market. When goods sold outside Denmark’s border are taken into account, the US is Denmark’s third largest export market., Looking at the final markets for the part of exports resulting from production in Denmark the US is the second largest export market as measured by Danish value added according to estimates in an OECD international Input-Output model., Get as pdf, How big are Danish exports and who are our main trading partners?, Colophone, How big are Danish exports and who are our main trading partners?, Subject group: Economy, Released: 5 March 2018 08:00, No. 2018:4, ISSN pdf: 2446-0354, Contact:, Mads Møller Liedig, Telephone: +45 40 12 97 72

Analysis