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    Documentation of statistics: Cinemas and Films

    Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , CBF@dst.dk , Get documentation of statistics as pdf, Cinemas and Films 2024 , Previous versions, Cinemas and Films 2023, Cinemas and Films 2022, Cinemas and Films 2021, Cinemas and Films 2020, Cinemas and Films 2019, Cinemas and Films 2018, Cinemas and Films 2017, Cinemas and Films 2016, Cinemas and Films 2015, Cinemas and Films 2014, Cinemas and Films 2012, The purpose of the statistics is to describe the Danish structure of cinemas, the number of films to shown an audience and the number of tickets sold (paid admissions) to these shows. In their present form the statistics have been compiled since 1980., Statistical presentation, For cinemas the statistics shows the number of cinemas, number of cinema screens, seats, films shown, tickets sold and admission takings. For films the statistics shows the nationality, release year, number of films shown in selected geographical areas, tickets and admission takings (box office) for both the reference period (calendar year) and for the period since 1976. Furthermore the statistics shows the pattern of admission takings over time for films according to their respective release dates., Read more about statistical presentation, Statistical processing, All free free tickets are removed. Data is collected and published annually. Number of sold tickets and number of films is summarized to relevant groupings., Read more about statistical processing, Relevance, Users are The Danish Film Institute, the media and various interest groups. There have been no study of user satisfaction. The statistic is used for analysis on the topic. , Read more about relevance, Accuracy and reliability, From 2016 the cinema and film statistics includes all the cinemas, which reports to Filmweb, which is estimated to comprise over 99 per cent. of all admissions in cinemas., Read more about accuracy and reliability, Timeliness and punctuality, This statistics is published around 4 months after the end of the year of reference. Publication time is usually precise. , Read more about timeliness and punctuality, Comparability, The study is in its present form has been prepared since 1984. For many key numbers, it is possible to compare with figures dating from 1976. After a revision of the statistics in 2014 it is not possible to compare the statistics of showing weeks. Number of tickets divided by population was cancelled in 2016., The organisation , Media Salles, publishes number of moviegoers for a number of european countries., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Cinemas and films, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cinemas-and-films

    Documentation of statistics

    Documentation of statistics: Distance to general practitioner (experimental statistics)

    Contact info, Personal Finances and Welfare, Social Statistics , Camilla Østerballe Nielsen , +45 20 28 52 49 , cnl@dst.dk , Get documentation of statistics as pdf, Distance to general practitioner (experimental statistics) 2024 , Previous versions, The purpose of the statistics "Distance to general practitioner" is to shed light on possible connections between distance to general practitioners and use, or lack of use, of general practitioners. , Statistical presentation, The statistics distance to closest general practitioner, is a measure of the average distance between a persons home address and the nearest general practitioner. The statistics further measure the use of general practitioner according to hove far away a person lives from the general practitioner. The statistics is divided into the population that sees the general practitioner at least once during the measurement year and the population that does not see the doctor during the measurement year. The statistic is further divided into 10 year age groups, gender and municipality groups., Read more about statistical presentation, Statistical processing, The data for these statistics stems from a number of different internal and external data sources. From the National Health Data Authority the National Catalogue of Health Organisations (SOR) is collected. From the register of health services the use of general practitioners is included. Further information on inhabited addresses are included from the statistics on Urban areas. Finally the register of population statistics is used to link persons with inhabited addresses., Read more about statistical processing, Relevance, The statistics can be relevant to the general public and authorities wanting to compare accessibility to general practitioners across municipalities, age groups and gender. , Read more about relevance, Accuracy and reliability, The data for these statistics stems from administrative data and have a high coverage. With regards to SOR one has to make reservations. Further it is noted the it is up to the individual general practitioner to register in SOR, and there might not be a validation on the addresses being typed correctly leading to potential inaccuracy. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published in February 2026 and are not expected to be published again., Read more about timeliness and punctuality, Comparability, Statistics Denmark are not aware of comparable, publicly available, statistics nationally or internationally. These statistics are only published for one year, and is not comparable in time., Read more about comparability, Accessibility and clarity, The statistics can be found in the StatBank under the , Consultations with physicians, . It has been made sure there's at least 3 observation per cell. , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/distance-to-general-practitioner--experimental-statistics-

    Documentation of statistics

    Documentation of statistics: Environmental accounts for Denmark (Discontinued)

    Contact info, National Accounts, Climate and Environment , Ingeborg Vind , +45 24 83 51 49 , INV@dst.dk , Get documentation of statistics as pdf, Environmental accounts for Denmark (discontinued) 2013 , Previous versions, Environmental accounts for Denmark (discontinued) 2012, These statistics are no longer compiled under the name Environmental Accounts for Denmark. Now specific documentations of statistics can be found under the subject page Environmental-Economic Accounts., Statistical presentation, The environmental accounts contain information on a) Material flows in the form of the the weight of Danish resource extraction, import and exports, b) Air emissions of different substances (CO2, N2O, CH4, PFC, HFC, SF6, NOx, NMVOC, CO, PM10, PM2.5, SO2, NH3), c) Public expenditure and revenue on the environment as well as d) Environmental related taxes etc., The definitions used in the environmental accounts ensures that the information immediately can be used for analyses of the interaction between the economic activities and e.g. air emissions of some of the above-mentioned substances., Read more about statistical presentation, Statistical processing, Emission accounts are compiled taking energy accounts as a starting point for the emissions caused by the use of energy. Emissions caused by other factors than energy use are added subsequently and distributed among the relevant industries. , Tax revenues are broken down by industries on the basis of detailed information from National Accounts., Material Flow Accounts are compiled on the basis of internal and external sources on resource extraction., Read more about statistical processing, Relevance, Environmental Accounts are relevant for those interested in the correlation between the economy on the one side and environment and natural resources on the other side. Ministries and consultant firms are among the main users of environmental accounts. Accounts are included in the overall European environmental accounts, collected and compiled by Eurostat., Read more about relevance, Accuracy and reliability, Figures on statistical uncertainty have not been estimated., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published without delays., Read more about timeliness and punctuality, Comparability, The industry classification in the tables is the same as the one used in the national accounts. The tables can therefore be compared to other statistics based on the industry classification. Accounts are compiled in form of time series. For example accounts for air emissions are available for each year from 1990 until the last year that is published. Accounts are consistent and fully comparable within these years. On the more aggregated level (NACE 64), the Danish accounts are comparable with accounts of other EU countries compiled according to the Regulation no. 691/2011 on European environmental economic accounts., Read more about comparability, Accessibility and clarity, Environmental-economic accounts, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-accounts-for-denmark--discontinued-

    Documentation of statistics

    Documentation of statistics: Book Production

    Contact info, Science, Technology and Culture , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Book Production 2023 , Previous versions, Book Production 2022, Book Production 2021, Book Production 2020, Book Production 2018, Book Production 2017, Book Production 2016, Book Production 2015, Book Production 2014, The purpose of the statistics is to shed light on the development of book publishing in Denmark. The statistics show the development in respectively the number of books published (the number of unique publications) and book titles. For example, it is possible to follow the trend in the number of first editions of fiction e-books or new editions of commercial, physical books in the field of professional literature. The statistics contain information for 2007 and onwards., Statistical presentation, The book production statistics are an annual inventory of the number of books and book titles published. A book here is a commercial publication, written material published by public institutions or a scientific report. All figures for the past six years are preliminary and revised annually., Read more about statistical presentation, Statistical processing, The statistics are based on the national bibliographic record in the Danish Book List. The Danish Library Center delivers data to the statistics via a system-to-system solution. Data is checked for large fluctuations compared to the previous year before the preparation of tables for the statistics bank., Read more about statistical processing, Relevance, The key users are players in the book industry, the The Agency for Culture and Palaces and others interested. The statistics are used for analysis and planning in the field of literature. There is ongoing contact with The Agency for Culture and Palaces, where the quality of the statistics and user needs are assessed., Read more about relevance, Accuracy and reliability, The source of the statistics is the Danish Book List, which receives books and other material from the publishers as a result of the Danish Duty Delivery Act and therefore covers the vast majority of publications in Denmark., The figures for the past six years are preliminary. This is due to post registrations of published books. The re-adjustment of the counting year can be considerable the following year., Read more about accuracy and reliability, Timeliness and punctuality, The figures for the past six years are preliminary. The statistics are published at the beginning of October. The statistics are usually published without delay compared to the announced time., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable with previous publications on book production statistics from the Danish Library Center. There are no international guidelines for compiling book production statistics., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Literature, ., Read more about accessibility and clarity

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

    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: 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: 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

    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