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Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Economy, National accounts, Employment and Compensation of Employees in National Accounts, Fixed Capital Stock, Gross Fixed Capital Formation in Housing and Type of Repair (Discontinued), Income and consumption distribution in the household sector (experimental statistics), Input-Output Tables, Multiplier Tables, National Accounts, National Accounts, Financial Accounts, National Accounts, Institutional Sectors, Productivity, Quarterly national accounts (Discontinued), Regional Accounts, General government economy, Budgets and accounts of municipalities and regions, Budgets of General Government, Cereal Prices used for Regulation of Land Rents, Corporate Taxation, Educational expenditure (UOE Finance), Financial accounts for general government, Financial assets and liabilities of local government, Financial Assets and Liabilities of Local Government (Discontinued), Government budget allocations for research and development, Government deficit and debt in the EU-countries, Government Finance , Quarterly Accounts (Discontinued), Government Finance Statistics, Health care expenditures (SHA), Key Figures for Municipalities Accounts, Local Government Personal Income Taxation and Church Tax, Municipality Accounts (Discontinued), Municipality and Region accounts (Discontinued), Municipality and Region Budgets (Discontinued), Municipality Budgets (Discontinued), National Accounts, Overdue Tax (Discontinued), Personal income taxes, Public arrears, Real property taxes, Social protection expenditure, Taxes and Duties (Discontinued), The Budgeted Use of Manpower in Municipalities (Discontinued), The Public Sector Finances, Balance of payments and international trade, Balance of Payments, External Trade of Organic Products, International Trade in Goods, International Trade in Goods by Enterprise Characteristics, International Trade in Services, International Trade in Services by Enterprise Characteristics, Price index, Consumer Price Index, Development in Rents (housing), Harmonized Index of Consumer Prices (HICP), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Net Price Index, Producer and Import Price Index for Commodities, Producer Price Index for Services, Purchasing Power Parities (PPP), Consumption, Consumer Expectations Survey, Farm Structure Survey, Home Appliances (Discontinued), Household Budget Survey, Human Consumption of Food (Discontinued), Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued), Property, Announcements of forced sales of real property, Rent indices for commercial real estate (Experimental statistics), Rent indices for housing, Sales of housing cooperatives, Sales of real property, Financial markets, Banks and mortgage-credit institutions, Interest and Share Price Indices, Profit and Loss Accounts of Danmarks Nationalbank

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=3

Documentation of statistics: Sports clubs and sporting facilities

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 clubs and sporting facilities 2024 , Previous versions, Sports clubs and sporting facilities 2023, Sports clubs and sporting facilities 2022, Sports clubs and sporting facilities 2021, Sports infrastructure and resources 2020, Sports infrastructure and resources 2019, Sports infrastructure and resources 2018, Sports infrastructure and resources 2017, The purpose of these statistics is to illustrate the physical and organizational structures of sports in Denmark, as well as memberships under the various sports federations. The statistics have been established since 2017 and are comparable throughout the period., Statistical presentation, These statistics is an annual estimate of the number of associations, number of members and sports facilities in Denmark. These statistic are allocated by organization, facility type and geographical by municipality. , Read more about statistical presentation, Statistical processing, Facilities are compiled per October 1st annually from the Danish Sports Facility Database. The database is a co-operation between the Danish Institute for Sports Studies and the Danish Foundation for Culture and Sports Facilities. The number of sports associations and members are reported annually by DIF, which collects data about sports associations and members from administrative sources., Data processing in Statistics Denmark includes coding of data, tabulation and control of detailed register extracts to the level of publication., Read more about statistical processing, Relevance, Users are Ministries, Agencies and various interest groups. The statistics are developed in cooperation with the Ministry of Culture and a project group comprising representatives of the national sports associations, researchers and other resource persons in this area. The statistics may serve to qualify public debate on sports and cultural policies., Read more about relevance, Accuracy and reliability, The statistics do not take into account missing reports to resp. the Central Association Register or the Facility Database. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of a new sports facility. However, the statistics are based on known authoritative sources and databases regarding the sports organizations' membership and facility numbers., 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, No comparison with other countries are made. Selected results may be compared to other presentations of the original sources, e.g. those made by the Central Registry of Sports Associations and the Danish Sports Facility Database., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports infrastructure and resources, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-clubs-and-sporting-facilities

Documentation of statistics

Documentation of statistics: Economics and employment of the sporting activities

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Economics and employment of the sporting activities 2024 , Previous versions, Economics and employment of the sporting activities 2023, Economics and employment of the sporting activities 2022, Economics and employment of the sporting activities 2021, Economics and employment of the sporting activities 2020, Economics and employment of the sporting activities 2019, Economics and employment of the sporting activities 2018, Economics and employment of the sporting activities 2017, These statistics highlight the economy and employment in the sports industry, thus providing a picture of the sport as a profession. These statistics are comparable from 2013 onwards., Statistical presentation, These statistics are an annual estimate of key economic and employment figures, by sports industries, including turnover, payroll and number of full-time employees., Read more about statistical presentation, Statistical processing, The statistics are based on registry data from the Employment statistics and General Business Statistics for the selected sports industries. Sports consumption is based on the new COICOP2018 nomenclature. Data is validated in source registers, while the statistical trends over time are compared with previous years' levels. No seasonal adjustment or separate imputations are made., Read more about statistical processing, Relevance, These statistics are available for all to be used for a description of the economy and employment in the sports-related industries., Read more about relevance, Accuracy and reliability, The statistic is based on data, that has been checked for errors and corrected in connection with the preparation of other statistical products. There is no definite quality measurement of the statistics, as well as no calculations on uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately twenty months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics are comparable throughout the published period. Changes in the statistics over time, including the transition to COICOP2018, have resulted in higher figures for sports consumption. The statistics can be compared with selected results from the the Employment statistics, The Labour Market Account and General Enterprise Statistics, as well as Cultural Business Structure and Labour Market., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Economics and employment of the sporting activities, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-and-employment-of-the-sporting-activities

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: Aviation

Contact info, Short Term Statistics, Business Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Aviation 2025 , Previous versions, Aviation 2024, Aviation 2023, Aviation 2022, Aviation 2021, Aviation 2020, Aviation 2019, Aviation 2018, Aviation 2017, Aviation 2016, Aviation 2015, Aviation 2014, The aviation statistics sheds light on investments in the airports' infrastructure and on the development of transport of goods and passengers through Danish airports. The present aviation statistics were established in 1997. Previously aviation statistics were published only in summary form in the , Statistical Yearbook., Statistical presentation, The Aviation statistics describe annually investments in the infrastructure and quarterly and annually the development in air transport of passengers and goods through Danish airports. Statistics are compiled for domestic and international flights and subdivided into scheduled flights, non scheduled flights (charter and taxi flights) and other flights. Quarterly figures on passengers are seasonally adjusted., Read more about statistical presentation, Statistical processing, Data from the Danish Transport Authority are wholly covering the population and no imputation is made. Data on passengers are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, the air ports themselves, ministries, etc. and it is therefore the impression that the statistics are relevant to users., Read more about relevance, Accuracy and reliability, The aviation statistics is based on an exhaustive census, i.e. there is no sampling errors and total error in the final statistics is assessed to be very small., Minor revisions do occur after first publication but the statistics are generally correct., Read more about accuracy and reliability, Timeliness and punctuality, Statistics Denmark publishes quarterly data approximately 50 days after end of reference period., Data are always published at the scheduled and announced time of publication., Read more about timeliness and punctuality, Comparability, There is a consistent time series dating back to 1990. Data are wholly comparable with statistics from other countries within the European Statistical System, ESS., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Transport, and , Infrastructure, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/aviation

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