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Documentation of statistics: Stock account for fish and shellfish

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Stock account for fish and shellfish 2025 , Previous versions, Stock account for fish and shellfish 2024, Stock account for fish and shellfish 2023, Stock account for fish and shellfish 2022, Stock account for fish and shellfish 2021, Stock account for fish and shellfish 2020, Stock account for fish and shellfish 2015, The stock account for fish and shellfish shows the development in the natural aquatic resources and in aquaculture. The accounts document the development in stocks, growth in stocks, catch/harvest of fish and shellfish for consumption and export of living fish as well as reduction in stocks., Statistical presentation, The stock account for fish and shellfish consist of a physical account for natural aquatic resources, as well as a physical and monetary account for aquaculture. These statistics act as a module in the Environmental-Economic Accounts for Denmark., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares resource accounts for fish and shellfish based on data and quotas and catches compiled by The Danish Fisheries Agency, information on fish stocks developed by International Council for the Exploration of the Sea (ICES), information on aquaculture compiled by The Danish Fisheries Agency., Read more about statistical processing, Relevance, Stock accounts for fish and shellfish are relevant for national authorities, scientific researchers, organizations, enterprises, the educational sector and anyone with an interest for aquatic resources. . The UN and similar organizations focus on environmental-economic accounts within the statistical framework called System of Environmental-Economical Accounting (SEEA). , Read more about relevance, Accuracy and reliability, The resource account for natural aquatic resources cover approximately 90 pct. of the Danish stock calculated based on the catch in 2021. The missing coverage can be explained by insufficient information on less important species. The resource account for aquaculture is assessed to cover 100 pct. of the Danish stock ad the fish farms are obliged to report to the authorities annually., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 12 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The methods and data sources for these statistics are unchanged throughout the period covered by published figures from 2010 and onwards. International comparison is possible with all other national resource accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank. In the StatBank, these statistics can be found under the subject , Natural resource accounts, . For further information, go to the subject page on , Environmental-Economic Accounting, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stock-account-for-fish-and-shellfish

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: Price of North Sea oil

Contact info, Prices and Consumption, Economic Statistics , Andreas Strøander Pedersen , +45 23 25 00 78 , apd@dst.dk , Get documentation of statistics as pdf, Price of North Sea oil 2025 , Previous versions, Price of North Sea oil 2023, Price of North Sea oil 2022, These statistics show an average price for North Sea oil sold, that reflects the characteristics applied to oil production in the Danish part of the North Sea. These statistics are produced and disseminated as part of the Hydrocarbon Tax Act and were first published in 2023 with figures for 2022., Statistical presentation, These statistics provide annual figures with the yearly average of the prices of the North Sea oil sold, quoted in US dollars (USD)., Read more about statistical presentation, Statistical processing, Price data for sold North Sea oil is collected annually. Statistics Denmark validates data including checking that there is data for all trading days. Statistics Denmark then uses the published reference price (PCAAS00) as the basis for calculating the average crude oil price during the year. The calculation is made as a simple average of the daily-published reference prices., Read more about statistical processing, Relevance, The statistics are relevant to SKAT as a basis for hydrocarbon taxation, which is described in more detail in the Hydrocarbon Tax Act., Read more about relevance, Accuracy and reliability, The use of the oil price collected from S&P Global Commodity Insights, PCAAS00, as well as the calculation of the annual price as a simple average, is specifically mentioned in the comments to the Hydrocarbon Tax Act, the price's precision and representativeness for Danish North Sea oil is affected both by which fields are incorporated into the price for North Sea oil and how S&P Global Commodity Insights makes quality adjustments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 15 days after the end of the year, i.e. no later than February 15. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, These statistics will be published for the first time in 2023, and the statistics are prospectively comparable to previous years. The representativeness of the collected price data is continuously assessed by Statistics Denmark and an expert group consisting of the Nordsøfonden and the Energy Agency., Read more about comparability, Accessibility and clarity, The statistics are published annually in the statistics bank under environment and energy, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-of-north-sea-oil

Documentation of statistics

Documentation of statistics: The Education Transition Register

Contact info, Population and Education , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, The Education Transition Register 2019 , Previous versions, The Education Transition Register 2018, The Education Transition Register 2017, The Education Transition Register 2016, The Education Transition Register 2015, The Education Transition Register 2014, The purpose of The Education Transition Register is to give a fundament for describing transitions through the education system beside the one there are in The Student Register. In The Education Transition Register there is a number of simple counts of movements in the education system, ex the number of time a student change education within the same group of education and completion time., Statistical presentation, In The Education Transition Register the central unit is education groups instead of individual programs. The Education Transition Register looks at these group of educations and the students are followed through a education group with the new elections and institutional changes that may occur., Read more about statistical presentation, Statistical processing, The education career in The Student Register is divided into groups The individual record relate to a group and have information about the progress through the groups as well as the transitions between the groups. See also the statistical treatment in the documentations of statistic for The Student Register., Read more about statistical processing, Relevance, The register is obvious to illuminate the process of education., Read more about relevance, Accuracy and reliability, The reliability of the educational information is judged to be good. The Education Transition Register is based on The Student Register. The information in The Student Register, comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 5 months after the end of the reference time. The statistics are usually published without delay to the scheduled date., Read more about timeliness and punctuality, Comparability, The information in The Education Transition Register starts in 1973 and the comparability over time good. Basic school includes only grade 8-10 up to the school year 2005/2006. From 2006/2007 preschool through 7 grade are included., Read more about comparability, Accessibility and clarity, The statistical data is released in , Nyt fra Danmarks Statistik, Statistic Denmarks Statbank dissiminated figures from the Transition register under the subject , Educational transitions, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-education-transition-register

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: 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

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