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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 2026 , Previous versions, Aviation 2025, 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 Civil Aviation and Railway 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. mostly for monitoring the market, deciding on transport policies and plan for investments in infrastructure., 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, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Cattle

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Cattle 2025 , Previous versions, Cattle 2024, Cattle 2023, Cattle 2022, Cattle 2021, Cattle 2020, Cattle 2019, Cattle 2018, Cattle 2017, Cattle 2016, Cattle 2015, Cattle 2014, The purpose of these statistics is to describe the stock of cattle in Denmark. The statistics are i.e. used for forecasts of future slaughtering of cattle. The cattle stock have been estimated since 1946, but these statistics are in its current form comparable from 2008 and onwards., Statistical presentation, These statistics are a quarterly measurement of the total number of cattle in Denmark. The number of cattle are divided into groups of bulls and steers, heifers and cows, based on information collected from administrative registers. The cattle stock is also divided by geographic province., Read more about statistical presentation, Statistical processing, Information is collected from two registers: the Central Register of Livestock and the Register of Cattle. In the Central Register of Livestock every single animal is registered with an individual number, birthday and sex and so on. These data are linked with data from the Register of Cattle about whether the heifers are with calf or not. When all data are validated, they are grouped by type, age and geography., Read more about statistical processing, Relevance, The cattle survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of cattle surveys are to provide a basis base for forecasts of cattle for slaughter. The statistics are used in financially and environment studies. , There are no examination of the uses satisfaction, but the impression is, that most users are satisfied with the statistics., Read more about relevance, Accuracy and reliability, The reliability of the variables for cattle is considered to be good. The information about cattle comes from the Danish Veterinary and Food Administration's database, the Central Livestock Register (CHR) and the cattle database owned by SEGES. There is a large control of data in these registers, as it is mandatory that all cattle must be registered in CHR, Read more about accuracy and reliability, Timeliness and punctuality, The survey results are published quarterly, about 3 weeks after the survey day. The punctuality is high, with delays happening very rarely., Read more about timeliness and punctuality, Comparability, The survey is comparable from 2008 onwards, and there is a high degree of comparability with previous surveys. Furthermore there is high degree of comparability with other European countries, especially the EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published semiannually in a Danish press release and quarterly in the Statbank table , KVAEG5, . For further information, see the subject page for , Farms with livestock, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Work Stoppages

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Work Stoppages 2024 , Previous versions, Work Stoppages 2023, Work Stoppages 2022, Work Stoppages 2021, Work Stoppages 2020, Work Stoppages 2019, Work Stoppages 2018, Work Stoppages 2017, Work Stoppages 2014, Work Stoppages 2013, The purpose of the statistics is to calculate the number of working days lost due to work stoppages. The statistics has been compiled without any breaks since 1996., Statistical presentation, The statistics is published on a yearly basis and provide an overview of the number of work stoppages, number of recipients employees and number of lost working days during the calendar year., Read more about statistical presentation, Statistical processing, Reporting forms is sent out in February the year after the reference year with a response time of 3 weeks. Immediately after the reporting deadline a reminder is sent. If the reporting still does not happen, we make a phone call to the company/working place. , Read more about statistical processing, Relevance, Not relevant for these statistics., Read more about relevance, Accuracy and reliability, As the statistics is based on a sample of major employees and employee organizations they do not provide complete coverage of the area. But it is assumed that the major part of working stoppages during the year is covered by the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 3 months after the reference date. The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics are compiled since 1973, but up to 1995 only work stoppages with a loss of 100 working days or more are included. From 1996 and onwards all work stoppages are included despite the range. This means that figures from 1996 and onwards are not directly comparable backwards in time. The number of work stoppages and loss of working days might be underestimated for the 2006 statistics. Changes in the public sector made it impossible to retrieve information from all public institutions regarding work stoppages., 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, these statistics can be found under the subject , Strikes and lockouts, . For further information, go to the , subject page, ., All data available is published., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/work-stoppages

Documentation of statistics

Documentation of statistics: International Trade in Services by Enterprise Characteristics

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

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

Documentation of statistics

Documentation of statistics: Asylum Applications and Residence Permits

Contact info, Population and Education , Annemette Lindhardt Olsen , +45 20 59 02 47 , ALO@dst.dk , Get documentation of statistics as pdf, Asylum Applications and Residence Permits 2022 , Previous versions, Asylum Applications and Residence Permits 2019, Asylum Applications and Residence Permits 2016, Asylum Applications and Residence Permits 2015, Asylum Applications and Residence Permits 2013, The statistics show the number of asylum seekers and the number of residence permits granted., The statistics were first published in 1989. The information on asylum seekers and refugees goes back to 1984, but there is only information on residence permits (other than refugees) from 1988., From 1997 there is information about residence permits on individual level for each immigrated person with citizenship outside Denmark and the Nordic countries., Statistical presentation, The statistics contain information on the number of asylum seekers, the citizenship of the asylum seekers and whether they are in Denmark or not. From 1. July 2002 it is only possible to apply for asylum when you are in Denmark., The statistics also contain information on the number of residence permits granted, the background for the permit and the citizenship of the applicants., Read more about statistical presentation, Statistical processing, Information from the Danish Immigration Service (Udlændingeservice). The Danish Immigration Service is the authority handling applications for asylum and other residence permits., The number of asylum applications and residence permits are not checked for errors., Read more about statistical processing, Relevance, Ministries, political parties, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, It is judged that the quality of the information is high., Read more about accuracy and reliability, Timeliness and punctuality, The time for publishing are 45 days after the end of the quarter., Immigrations with information about residence permits are also published 45 days after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time and can also be compared internationally., Read more about comparability, Accessibility and clarity, The Statbank., Yearly publications: , Statistical ten-year review, and , Immigrants in Denmark, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/asylum-applications-and-residence-permits

Documentation of statistics

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

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

Analyses: Who uses weight loss medicines in Denmark?

In 2023, 117,500 adults redeemed a prescription for a weight loss medicine. This corresponds to 2.4 per cent of the adult population. Weight loss medicines are mainly targeted at people with a BMI of at least 30, but what else characterises the users?, This analysis takes a closer look at the users of weight loss medicines, with a special focus on users in the first half of 2023. In the analysis, data on redeemed prescriptions is combined with information from Statistics Denmark’s registers. This allows, among other things, to examine the users’ sex, age, income, and municipality of residence.,  , Main conclusions:, The number and proportion of adults who have redeemed at least one prescription for weight loss medicines has increased significantly from 15,200 (0.3 per cent) in 2021 to 27,800 (0.6 per cent) in 2022 and 117,500 (2.4 per cent) in 2023. However, the number is still lower than 25 years ago when 131,100 adults (3.1 per cent) used weight loss medicines., The proportion of users of weight loss medicines is higher for women in all years. In the first half of 2023, 72 per cent of the users were women and 28 per cent were men., The proportion of users was highest in the age group of 50-59-year-olds (3.2 per cent) and lowest in the age group of 80-year-olds and older (0.1 per cent)., The proportion of users of weight loss medicines increases with income. In the first half of 2023, 1.6 per cent of the people in the lowest income quintile used weight loss med-icines, while it was about 3.4 per cent of the people in the highest income quintile - when using the equivalised disposable family income among the 30-59-year-olds., There is a difference in the proportion of users of weight loss medicines across municipalities. The highest proportion of users was in Tårnby (2.9 per cent), while the lowest proportion was in Læsø (0.8 per cent)., Gentofte municipality had the highest proportion of users of weight loss medicines in the first part of 2023 when the proportion is related to people with self-reported obesity in 2021. In Gentofte, there were 24.5 users of weight loss medicines per 100 people liv-ing with obesity, while in Læsø, there were 2.9 users per 100 people living with obesity.,  , The analysis is available in Danish here: , Hvem bruger slankelægemidler?, Get as pdf, Who uses weight loss medicines in Denmark?, Colophone, Who uses weight loss medicines in Denmark?, Subject group: People, Released: 6 May 2024 08:00, No. 2024:3, ISSN pdf: 2446-0354, Contact:, Emilie Rune Hegelund, Telephone: +45 20 56 47 11

Analysis

Documentation of statistics: Quarterly national accounts (Discontinued)

Contact info, National accounts, Economic Statistics , Carmela Moreno , cam@dst.dk , Get documentation of statistics as pdf, Quarterly National Accounts 2018 Quarter 4 , Previous versions, Quarterly National Accounts 2018 Quarter 3, Quarterly National Accounts 2018 Quarter 2, Quarterly National Accounts 2018 Quarter 1, Quarterly National Accounts 2017 Quarter 4, Quarterly National Accounts 2017 Quarter 3, Quarterly National Accounts 2017 Quarter 2, Quarterly National Accounts 2017 Quarter 1, Quarterly National Accounts 2016 Quarter 4, Quarterly National Accounts 2016 Quarter 3, Quarterly National Accounts 2016 Quarter 2, Quarterly National Accounts 2016 Quarter 1, Quarterly National Accounts 2015 Quarter 4, Quarterly National Accounts 2015 Quarter 3, Quarterly National Accounts 2015 Quarter 2, Quarterly National Accounts 2015 Quarter 1, Quarterly National Accounts 2014 Quarter 4, Quarterly National Accounts 2014 Quarter 3, The quarterly national accounts present an overall picture of the short-term economic development within the framework of a system of coherent definitions and classifications., Statistical presentation, The National Accounts are designed to present a complete picture of the economy. The National Accounts provide the conceptual and actual tool to bring to coherence all economic activity and development in Denmark., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled on the basis of all relevant short-term statistics describing parts of the economy. Combining these statistics with the definitions and classifications of the national accounts and the detailed annual national accounts makes it possible to balance all the information regarding the supply and use to a complete picture of the economic activity. For more information detailed descriptions of sources and methods can be found in , Danish Quarterly National Accounts, and , Danish Sector National Accounts, ., Read more about statistical processing, Relevance, As the basic data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. Quarterly national accounts are used as the basis for analyzing the economic development. National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, The quarterly national accounts are compiled using a number of primary statistics. Inaccuracy in these primary statistics as well as the adjustment of the statistics to conform to the national account framework will affect the reliability. However, the juxtaposition in the framework of the national accounts will contribute to reduce the inaccuracy., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly national accounts are published first time 60 days after the end of the quarter and in a revised form 90 days after the end of the quarter. The quarterly sector accounts are published 90 days after the end of the quarter., The statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, The time series in the quarterly national accounts are consistent with the annual national accounts., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik): , Kvartalvist nationalregnskab, ., Statistical News (Statistiske Efterretninger, Nationalregnskab og offentlige finanser)., The annual publication National Accounts (Nationalregnskab)., Data in , Statbank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-national-accounts--discontinued-

Documentation of statistics