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Documentation of statistics: Fixed Capital Stock

Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Johansen Næsby , +45 29 44 68 24 , JJN@dst.dk , Get documentation of statistics as pdf, Fixed Capital Stock 2021 , Previous versions, Fixed Capital Stock 2021, Fixed Capital Stock 2019, Fixed Capital Stock 2018, Fixed Capital Stock 2017, Fixed Capital Stock 2016, Fixed Capital Stock 2014, The purpose of fixed capital is to provide a picture of the productive capacity of the economy's capital stock as well as of that part of national wealth which is placed in fixed assets. Fixed capital is compiled according to guidelines in the present European national accounting system, ESA2010, and is based on investment series from the National Accounts. Fixed capital according to ESA2010 was first published in September 2014. Updated series for fixed capital are published yearly., Statistical presentation, Fixed capital consists of five variables compiled at current prices and 2010-prices, chained values (Other volume changes in non-financial assets are not compiled at 2010-prices, chained values and revaluations are, by definition, only available at current prices):, Gross stock Net stock Consumption of fixed capital Other volume changes in non-financial assets n.e.c. Revaluations, Read more about statistical presentation, Statistical processing, The compilation of fixed capital is consistent with the investment series from the National Accounts with breakdown into industries, a fact which ensures consistency with the rest of the National Accounts. Buildings and transport equipment are completely or partly compiled using direct stock information from registers, which is seen as the most reliable compilation method. As buildings and transport equipment form the major part of fixed capital, it follows that the uncertainty on the total stock is reduced considerably. For the other variables, the PIM method or a combination of both methods is used., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. 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 uncertainty on fixed capital is closely related to the uncertainty on the sources used. In addition, there is uncertainty connected with the assumptions made, for example in relation to service lives. Recently, there has been a tendency for upgrades of the figures for gross fixed capital formation. This means that one should expect a somewhat greater uncertainty about the figures for gross fixed capital formation than for other variables., For a sensitivity analysis on the service lives used for dwellings please refer to A comparison of PIM Estimates with Direct Stock Information for Dwellings by Esben Dalgaard and Annette Thomsen. Paper prepared for the 26th General Conference of The International Association for Research in Income and Wealth. Cracow, Poland, 27 August to 2 September 2000., Read more about accuracy and reliability, Timeliness and punctuality, First version of preliminary yearly national accounts figures are published end of November the following year for fixed capital. The final figures are published 3 years after the reference year., The statistics are usually published according to schedule., Read more about timeliness and punctuality, Comparability, Comparisons with other statistics at a detailed industry level will often show differences, partly because of differences in definitions of variables, and partly because of the calendar year delimitation of the national accounts and its requirement of total coverage of the economic activity., Internationally there is a high degree of comparability with the national accounts of other countries because the Danish national accounts are compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/fixed-capital-stock

Documentation of statistics

Documentation of statistics: Home Appliances (Discontinued)

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Home Appliances 2023 , Previous versions, Home Appliances 2022, Home Appliances 2020, Home Appliances 2019, Home Appliances 2018, Home Appliances 2017, Home Appliances 2016, Home Appliances 2015, These statistics shows Danish families' possession of electronics in the household. New electronic products are constantly being developed, which over time become commonplace in Danish homes. The products in the statistics are replaced on an ongoing basis, so that new ones are included, while others are removed as they have become commonplace, e.g. smart TV. The survey has been compiled since 1990 and the statistics have been comparable ever since. Before 2000, the surveys were conducted in October. Since 2001, data are collected in April., Statistical presentation, These statistics are an annual survey of how many percent of Danish families who possess different types of electronics, e.g. robot vacuum cleaners, smart TV and smart phones etc. , Read more about statistical presentation, Statistical processing, For the time being the sample of an omnibus survey consists of 1,500 persons, drawn from a population of persons aged 16-74 residing in Denmark., As it is not possible to interview all 1,500 persons, each completed interview is given a personal weight, which corrects the effects of non-sampling and non-response (including no telephone) and ensures that the results cover the whole population in the sample. , However, the questions on home appliances do not concern the individual person, but the family he/she is living with. For that reason the answers are given a family weight, which ensures that the families with different numbers of persons aged 16 years or over are represented in the sample with varying probability. A family is defined as one or several persons between 16 and 74 years who live in the same accommodation and are related (includes also cohabiting couples) and their children, though there can only be one married or cohabiting couple in the family. The sum of the family weight for all completed interviews, gives the number of families in Denmark that have persons aged between 16 and 74 years., In the frame of data validation the check of the data correctness is conducted by checking the consistency of the responses by every single respondent, comparison of the results with the results of the previous year, as well as comparison of the non-response rate are also undertaken., Read more about statistical processing, Relevance, The press use the information to inform about developments in home appliances., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65 pct., which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated to range between +/- 3 percentage points., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The number and nature of the electronic products, that are included in the studies are replaced along the way, so that new products that - especially as a result of technological development - become interesting are added. Products that have become common property in almost every family are discontinued. Therefore comparison over longer periods some times could be difficult., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home appliances, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-appliances---discontinued-

Documentation of statistics

Asymmetries in statistics on International Trade in Goods

Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia., 19 October 2021 14:00 ,  , Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia. It has been more than difficult to get a consistent picture of the trade between the two areas because of the huge differences (asymmetries) in statistics on trade in goods published by Eurostat and Geostat (National Statistics Office of Georgia) respectively. The differences have been both concerning the level and – even more worrying – also the trend in trade. , A fruitful and intensive 2-year cooperation between Geostat and Danish experts from Statistics Denmark in the frame of the Twinning project , Strengthening the Capacity of the Georgian Statistical System, has now resulted in a comprehensive report describing the nature, reasons and possible solutions to these asymmetries. The report is an important input to understanding asymmetries and how to handle them in the future “, Link, ”.  , Georgia’s geographical location on the shore of the Black Sea means that many goods traded between countries in Europe and mainly Armenia and Azerbaijan are transiting through Georgia. The European traders/custom are in many cases not aware that the specific imported/exported good is only transiting in Georgia and is therefore incorrectly reporting the good as being imported/exported from/to Georgia. Incorrect reporting of goods that are only transiting through Georgia are by far the major reason for the asymmetries according to the report prepared by the project, which has analysed in depths the methodology applied to trade in goods statistics in Georgia, the concepts applied and the practical data collection.  , The analysis thereby also implies that the Georgian data in the cases where goods are transiting in Georgia, are more likely to be correct than Eurostat’s data as the asymmetry appears due to incorrect declaration of country of origin (when EU is importing) and country of final destination (when goods are exported from the EU). In many of these cases, the hypothesis was supported by mirror analysis carried out on data from Azerbaijan, Armenia and Turkmenistan, which showed similar asymmetries in trade data with the EU. , Asymmetries might be caused by methodological reasons, as well as by data errors. A thorough review of the compilation of international trade in goods in Geostat has revealed a sound methodology applied in Geostat’s compilation of International Trade Statistics and great awareness of international standards. The analysis also indicates that there might be a few issues concerning the so-called trade system, volatile currency, high exemption threshold for export, imputation of missing import of cars and misclassifications of commodities, all of which are more or less out of the hands of Geostat, and more importantly, are minor issues in the big asymmetry picture. , Data errors are by far the biggest problem detected. A good understanding and overview of the nature and major sources of the data errors were obtained from structured in depths microlevel analysis involving a lot of correspondence with colleagues from 6 different EU National Statistical Offices and to some extent local importers/exporters. A lot of hard work remains to reduce the asymmetries in the future, requiring most of all careful training of individual data reporters concerning the importance of indicating the correct country of origin/country of final destination.

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/19-10-2021-asymmetries-in-statistics-on-international-trade-in-goods

Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2019 , Previous versions, Quarterly Labour Force 2018, The purpose of KAS is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, KAS is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market quarter. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an averaging of the population's primary attachment to the labour market divided on quarters. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is a register based average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. That first of all means that KAS doesn't contain the same uncertainties as statistics based on surveys. Second of all the data foundation for KAS provides a better opportunity to illuminate the labour market than before. KAS consists of a series of data sources which are integrated, corrected, and harmonized, and can therefore illuminate the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published approximately 16 months after the reference point in time. RAS is typically published at the scheduled date without delay, and is planned more than a year ahead. , Read more about timeliness and punctuality, Comparability, The statistic is first published in 2018 with data on 1.-4. quarter 2008-2016. Expect from data break in the classification of occupation in 2010 the statistic is comparable in the hole period 2008-2016. From 2019 and on the data foundation is slightly revised, and therefore there is a smaller data break regarding the employed population. Since 2019 the statistic besides from employed persons also includes the rest of the population in Denmark with information about their primary labour market attachment in the 1st.-4.th. quarter 2017. KAS is based on administrative registers with national character which makes it difficult to compare the statistic internationally., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly Labor force Statistics, employment, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

Documentation of statistics

Documentation of statistics: Upper-Secondary Education

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, Upper-Secondary Education 2024 , Previous versions, Upper-Secondary Education 2023, Upper-Secondary Education 2022, Upper-Secondary Education 2021, Upper-Secondary Education 2020, Upper-Secondary Education 2019, Upper-Secondary Education 2018, These statistics cover the activity in upper secondary education in Denmark. Upper secondary education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 20 or 35. Upper secondary educations are typically 2-3 years in duration. Upper secondary education statistics are in their current form comparable since 2005 and are part of the overall Student Register, which contains information about all students in ordinary education in Denmark., Statistical presentation, These statistics contain figures about the enrollment and completion in upper-secondary education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin. , Read more about statistical presentation, Statistical processing, The data for these statistics are received yearly in November/December from The Ministry of Children and Education. This means that the data received by Statistics Denmark have already been corrected for errors. In addition, a thorough error searching and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level. The Ministry of Children and Education are involved in cases of substantial corrections., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The data of the statistics are used as background data for most of the personal statistics at Statistics Denmark, and are the basis for several tables in StatBank Denmark about education., Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students as well as for the payment of various financial grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The Ministry of Children and Education conduct error detection of data and the quality of the received data is high. Errors do occur but they are in most cases corrected the following year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 4 months after the reference time, which is 1 October. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The current version of these statistics go back to 2005. However, statistics pertaining to upper secondary education in Denmark have been produced prior to 2005. The statistics are internationally comparable as upper secondary education is defined in similar ways internationally., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper-secondary education, . For further information, see the homepage of the , statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/upper-secondary-education

Documentation of statistics

Morocco 2024-2026

Statistics Denmark is implementing the second phase of a Strategic Sector Program in Morocco financed by the Danish Ministry of Foreign Affairs. Our partner is the High Commission for Planning (Haut-Commissariat au Plan - HCP) which is the main producer of official Statistics in the Kingdom of Morocco., About Denmark’s Strategic Sector Cooperation,  (on the homepage of the Ministry of Foreign Affairs), Long-term ambitions, The second phase of collaboration between Statistics Denmark and Haut-Commissariat au Plan (HCP) aims in the longer run to establish and secure the preconditions for a sustainable national statistical system based on digital collection, processing and dissemination of administrative and to a lesser degree survey data. This to support the decision making for the development of the Moroccan society in general and the just green transition in particular., The second phase naturally builds on the results achieved in the first phase. During the first phase , the digitalisation of the statistical production process in HCP has progressed to a new level: With a new IT strategy, the establishment of a Data Management Centre, the use of web based surveys, implementation of a new software for the business register etc. the IT-infrastructure to receive, process and disseminate data is now more or less in place. , The aim in phase II is thus to secure a steady and continuous flow of data into the system - both from surveys and from administrative registers, and to finalize the quality aspects of the production of statistics and to publish it., You can read more about phase I and find videos about the project here, Strategic outcomes, The project has three strategic outcomes:, Improved statistical frameworks (or systems) supporting a just green transition in Morocco through strengthening NSO capacities to work with adequately and appropriately disaggregated survey and administrative data for statistics, for digitalization processes and for communication., HCP has strengthened their role as a trusted data provider, their capacities to cooperate and to access relevant sector data, and their provision of relevant and in-demand statistics to government, private institutions and the general public relevant to a just green transition., Accelerated required decisions on viable data-solutions for the data ecosystem including but not limited to those of relevance to a just green transition enabled by partners through exposition to Danish data-solution companies and the Danish Public Private Partnership data-ecosystem of statistics., Areas of collaboration, Improving HCPs capacity and the national statistical system is done by amongst other things improving the economic modelling capacities, digitalising prioritised statistical processes, continued work on IT and data security issues, finalising the establishment of a statistical business register and secure data flows, improving quality work, and providing technical support to the further development of the implementation of The System of Environmental Economic Accounting (SEEA)., Besides the efforts to further strengthen capacities in the production, the quality and the access to statistics efforts will be made to strengthen the cooperation between data providers and users establishing national partnerships with both government and private institutions. In practical terms through e.g. working groups and user groups, by drawing up aggreements, arranging work shops and study visits etc.

https://www.dst.dk/en/consulting/projects/morocco-2024-2026

Documentation of statistics: Zoological gardens

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Zoological gardens 2024 , Previous versions, Zoological gardens 2023, Zoological gardens 2022, Zoological gardens 2021, Zoological and Botanical Gardens 2017, Zoological and Botanical Gardens 2015, Zoological and Botanical Gardens 2014, Zoological and Botanical Gardens 2013, The purpose of the statistics is to describe the yearly opening hours and the number of visitors to Zoos, Aquariums and Botanical gardens. The statistics has been compiled since 1985. From 2021 there are only zoos and aquariums included in the statistics, Statistical presentation, The statistics is made on a yearly basis and shows the number of zoological facilities, visitors, yearly opening hours, number of informative or educational events as well as participants, invitational events and participants, number of volunteers and hours worked by volunteers, and total admission revenue for zoos and aquariums. , Read more about statistical presentation, Statistical processing, The statistic is annually. The data is collected through electronic questionnaires. The collected data is validated by comparing this years numbers with the former numbers. If a zoo have large fluctuations in the number of visitors from one year to the next, Statistics Denmark contact the facility to get a clarification. Data is aggregated and if some zoo's haven't answered the questionnaire data from last year gets imported. , Read more about statistical processing, Relevance, The users are primarily the Ministry of Cultural Affairs, The Danish Agency for Culture and Palaces and organizations engaged in activities within in the field of zoos aquariums and botanical gardens and the news media., The user satisfaction is not measured., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of (in principle) all zoos, aquariums and botanical gardens, but some non state-subsidized zoo do not answer the questionnaires. There will be the a low number of visitors for non state-subsidized zoo or gardens. State-subsidized zoo or gardens have a good coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually approx. 5 months after the reference period., Read more about timeliness and punctuality, Comparability, Data over time can be compared for state-supported zoos from 1984 until today, while for non-state-supported gardens and facilities there is a small data breach in 2010 and 2016. For zoos and aquariums with other state subsidies and those that are not subsidized by the state, there can be a variation in e.g. visitor numbers, etc., which is due to composition effects. That is it is not necessarily the same or the same number of zoos and aquariums that are included in the population or report to the statistics each year. Therefore, comparisons over time for zoos with other state subsidies and state subsidies should be made with caution., Read more about comparability, Accessibility and clarity, The statistics are published in Nyt fra Danmarks Statistik (News from Statistics Denmark), in http://www.statbank.dk and on the , subject side on DST, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/zoological-gardens

Documentation of statistics

Documentation of statistics: Productivity

Contact info, National Accounts, Climate and Environment, Economic Statistics , Magnus Børre Eriksen , +45 29 12 27 56 , MBE@dst.dk , Get documentation of statistics as pdf, Productivity 2024 , Previous versions, Productivity 2023, Productivity 2022, Productivity 2021, Productivity 2020, Productivity 2019, Productivity 2018, Productivity 2017, Productivity 2015, Productivity 2014, Productivity 2011, The purpose of the statistics Productivity is to examine the change in production per unit of the resources involved and which contributes to the change. The simplest and most commonly used concept of productivity is labor productivity, which is used here. Labor productivity (LP) and the causes for the change in LP is calculated back to 1966., Statistical presentation, Productivity is basically a measure of how efficiently you use your resources (labor, capital, etc.) when producing goods and services. In this statistic it is also calculated which resources contribute most to the change in productivity. Productivity change is distributed across industries for the various productivity components. The statistics are disseminated in News from Statistics Denmark and the StatBank., Read more about statistical presentation, Statistical processing, Labor productivity is defined as the real value of Gross value added (GVA) per hour worked. The calculations are based on figures from market activity from national accounts, i.e. the total economy excluding the sectors: General government (S.13) and NPISH (S.15). The sources used for calculating the productivity growth is fixed capital, Labor force education statistics and sector account figures for Gross value added and hours worked., Read more about statistical processing, Relevance, The national accounts (including Productivity statistics) constitute core indicators of the analyses of economic growth. Users are primary researchers, economic departments and organizations., The division of national accounts continuously evaluates feedback from our users., Read more about relevance, Accuracy and reliability, The precision of the calculation of productivity growth is closely related to the uncertainty of the variables that are included in the calculation. I.e. how well, the value of an hour's work is reflected in the gross value added in fixed prices for the industry; the quality of the calculated hours and whether there are special conditions in the industry that make labor productivity less relevant, e.g. high capital intensity. For multiple industries, labor productivity growth should not stand alone in productivity analyzes. This applies, for example, to dwellings, public administration, education and health., Read more about accuracy and reliability, Timeliness and punctuality, First preliminary version of Labor productivity (LP) for year t is published end of March in year t+1. The final version of LP for year t is published end of June in year t+3. First preliminary version of Productivity growth (Sources of LP) for year t is published no later than December year t+1. The final version of Productivity growth (Sources of LP) is published no later than December year t+3. The productivity statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, This statistic is based on national accounts. Therefore this statistic is consistent with respect to national accounts and comparable over time. Moreover this statistic is comparable to other countries productivity figures if they are also based on ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Productivity, . See more information , here, ., Read more about accessibility and clarity

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

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2025

Name: , DISCED15_UDD_HOVED_V1_2025 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2025 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, Still valid, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd

Services of service industries

Service industries reveals for 10 different industry groups within the service industries how the turnover is distributed between different services and exports. The services are specific to the individual industry groups, and you can thus get a fairly detailed insight into the services that the service industries in question sell. , Introduction, Service industries reveals for 10 different industry groups within the service industries how the turnover is distributed between different services. In addition, it is calculated how much of the total turnover is exports. The statistics are produced annually, however, 6 of the 10 industry groups are only calculated every other year., The industry groups consist of:, Computer services, Temporary employment agencies, Advertising services, Legal activitties, Technical testing and analysis*, Architecture*, Engineering activities and related technical consultancy*, Market research and public opinion polling*, Accounting, book-keeping and auditing activities*, Business and management consultancy activities*, * The statistics are only published every two years., The services are specific to the individual industry groups, and you can thus get a fairly detailed insight into the services that the service industries in question sell., The main figures below only include selected main industries. , Find tables for all ten service occupations in the Stat Bank., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Accounting, Book-Keeping and Auditing Activities, Advertising Services, Architecture, Business and Management Consultancy Activities, Business Services in the Sector for Market Research and Public Opinion Polling, Business Services in the Sector for Technical Testing and Analysis, Computer Services, Engineering Activities and Related Technical Consultancy, Legal Activities, Services of service industries, Temporary Employment Agencies and Other Human Provision Services, Key figures, Statistics Denmark makes statistics within 10 different service industries: Computer services, Temporary employment agencies, Advertising services, Legal activitties, Technical testing and analysis, Architecture, Engineering activities and related technical consultancy, Market research and public opinion polling, Accounting, book-keeping and auditing activities and Business and management consultancy activities. On this page you can see a selection of the statistics. , Find tables for all 10 service industries in the StatBank, ., In Statbank Denmark, you can find more data on Turnover for advertising services (SERV2512), In Statbank Denmark, you can find more data on Computer Services (SERV2501), In Statbank Denmark, you can find more data on Accounting, book-keeping and auditing activities (SERV1406), In Statbank Denmark, you can find more data on Number of hours sold in permanent placement (SERV2511), Related content in Services of service industries, Tables in Statbank , Scheduled releases , Contact, Emil Tappe Bang-Mortensen, Phone: +45 24 67 85 25, Mail: , ebm@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/serviceerhverv/serviceydelser-for-serviceerhverv

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