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Documentation of statistics: Board members and managers

Contact info, Business Dynamics, Business Statistics , Asbjørn Hviid Mikkelsen , +45 29 42 68 36 , AHM@dst.dk , Get documentation of statistics as pdf, Board members and managers 2023 , Previous versions, Board members and managers 2022, Board members and managers 2021, Board members and managers 2020, Board members and managers 2019, Board members and managers 2018, Board members and managers 2017, The purpose of the statistics is to give a coherent and consistent description of the structure and development among members of board and management in enterprises. The statistics was first published for the reference year 2017. In 2024, a revised time series was created retrospectively back to 2019., Statistical presentation, The statistics of board members and managers shows active members in board and management of active enterprises in Denmark. It includes the private sector and all activity codes, but is limited to shareholder companies, Limited Liability Companies and entrepreneurship companies., The former name of the statistics was “Members of boards and management”. The production method for the statistics remain unchanged. The data source is from the production year 2024 and onwards vastly improved compared to earlier. , Read more about statistical presentation, Statistical processing, The statistics combines multiple statistical registers from Statistics Denmark regarding population and enterprises. The statistics covers members of active enterprises in Denmark, in the private sector with the types shareholder company, limited liability company and entrepreneurship company. Entrepreneurship companies are only included until 2021, where the company type ceases to exist entirely, Read more about statistical processing, Relevance, The statistics are relevant for analyses of members in the boards and managements in the Danish business society. Central users are: Ministries, business centers, regions, municipalities, private enterprises and private persons., Read more about relevance, Accuracy and reliability, The uncertainty associated with the statistics is linked to uncertainty from the administrative sources of statistics. Enterprises have an obligation by law to self-report information. The Business Authorities can ultimately close companies who does not apply to legislation. Statistics Denmark have no possibility to control data, but asses on basis of this fact, that the uncertainty is limited in scope., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published each year but the publication month can vary. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The statistics is comparable to the Generel Enterprise statistics under the same delimitation of type of enterprise and sector. , Since the reference year 2022, the statistics has been revised retrospectively to the reference year 2019 and is not comparable to the former time series spanning the period 2014-2021. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Board embers and managers, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/board-members-and-managers

Documentation of statistics

Documentation of statistics: ICT Use in Enterprises

Contact info, Science, Technology and Culture, Business Statistics , Anton Lyngvold Erenbjerg , +45 20 14 57 90 , AEL@dst.dk , Get documentation of statistics as pdf, ICT Use in Enterprises 2025 , Previous versions, ICT Use in Enterprises 2024, ICT Use in Enterprises 2023, ICT Use in Enterprises 2022, ICT Use in Enterprises 2021, ICT Use in Enterprises 2020, ICT Use in Enterprises 2019, ICT Use in Enterprises 2018, ICT Use in Enterprises 2017, ICT Use in Enterprises 2016, ICT Use in Enterprises 2015, ICT Use in Enterprises 2014, The purpose of the statistics is to shed light on the use of ICT in enterprises, including e-commerce and benefits/barriers to the use of ICT technologies. The survey is harmonized with the EU model questionnaire, which is used in most member states. The statistics form part of Statistics Denmark's focus on the information society. The survey has been carried out annually since 1998. , Statistical presentation, The statistics are published annually and describes the use of ICT in enterprises in Denmark. The following areas are covered: The prevalence and use of ICT, including ICT technologies and e-commerce. A considerable number of variables are replaced each year as a result of the development in user needs and new technology. The survey covers enterprises with more than 10 employees in the private, non-financial urban industries., Read more about statistical presentation, Statistical processing, The statistic is annual and questionnaire-based. Validation includes consistency checks built into the digital form, combined with subsequent checks and possible re-contact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity and enterprise size class., Read more about statistical processing, Relevance, The results are used by ministries, organizations, researchers and journalists etc., as a basis for political interventions, analyses, articles and research projects etc. A considerable number of variables are replaced each year as a result of the development in user needs and the need to measure new technology. The on-going development of the survey contents takes place in close dialogue with national stakeholders as well as in the European Union fora. The statistics is co-funded by the European Union., Read more about relevance, Accuracy and reliability, The results from the survey for enterprises with at least 10 full-time employees are based on data from 4,071 enterprises from a total population of 18,391 enterprises. The survey is sample based and consequently there is some uncertainty in the results in the form of random variation from the branch and enterprise size. Every year uncertainty calculations are produced, and these show that the sampling uncertainty is limited. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published seven months after the end of the reference period. No preliminary figures are published. Results are published in September, where the reference period is January (and, for some variables, the previous calendar year)., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states. A large number of questions in the survey are replaced annually, so there is not a continuous time series for all the results., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-use-in-enterprises

Documentation of statistics

Documentation of statistics: High Growth Enterprises

Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2023 , Previous versions, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

Documentation of statistics

Documentation of statistics: ICT-Expenditure in Enterprises

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, ICT-Expenditure in Enterprises 2016 , Previous versions, ICT-Expenditure in Enterprises 2015, ICT-Expenditure in Enterprises 2014, ICT-Expenditure in Enterprises 2013, The purpose of the survey 'ICT expenditure' is to examine the extent of ICT expenditures in the private sector. The survey contributes to the description of the information society. The survey was conducted for the first time in autumn 2004., Statistical presentation, Private sector, : The survey examines ICT expenditure in enterprises . Variables include hardware, pre-packaged and customised software, other ICT equipment (telecommunication equipment, audio and video equipment and other ICT equipment) and ICT consultancy. For enterprises in the private sector, the total ICT expenditure is estimated by industry and size groups. Moreover, expenditure in the different sub-groups of expenditure type is estimated, see above., The public sector, (state and municipalities): ICT expenditure is not collected since 2007., Read more about statistical presentation, Statistical processing, Population of enterprises are selected according to ownership, activity (NACE code) and number of employee (more than 10 full time equivalent), The drawing of sample is coordinated with the SBS accounting statistics., Errors in sum are corrected and outliers are identified, contacted and eventually corrected., Weights are estimated for 60 strata and the recordings of each enterprise is multiplied according to the strata., Read more about statistical processing, Relevance, Statistics is used in business organizations, service contracts with ICT enterprises, ministries and the results are included in research projects., Read more about relevance, Accuracy and reliability, Approx 3,200 responses have been used in the grossing up procedure. The results are grossed up so that they correspond to full coverage of the surveyed industries and size groups. Each enterprise in the sample is assigned a weight such that it represents a certain number of enterprises in the population. The grossing up procedure is based on the number of enterprises, and the number of fulltime employees within employment groups. Regarding the enterprises the response rate is 95 per cent for the survey. Loss is due to bankruptcy, take over, etc. The high response rate indicates that results are reliable as the statistical variance indicates. Measures of inaccuracy for selected variables are available., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are published on time one year and 4 month after reference year., Read more about timeliness and punctuality, Comparability, Comparable figures from 2008 and forward. Eurostat have collected data for 2009 and 2012 not yet published by Eurostat., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, Yearbook: Information Society Denmark., Main results are accessible at the website of Statistics Denmark and at Statbank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-expenditure-in-enterprises

Documentation of statistics

Documentation of statistics: Labour Costs for Corporations and Organizations

Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Labour Costs for Corporations and Organizations 2023 , Previous versions, Labour Costs for Corporations and Organizations 2022, Labour Costs for Corporations and Organisations 2021, Labour Costs for Corporations and Organizations 2020, Labour Costs for Corporations and Organizations 2019, Labour Costs for Corporations and Organizations 2018, Labour Costs for Corporations and Organizations 2017, Labour Costs for Corporations and Organizations 2016, Labour Costs for Corporations and Organizations 2015, Labour Costs for Corporations and Organizations 2014, Labour Costs for Corporations and Organizations 2013, The purpose of the statistics of total labour costs for corporations and organizations is to monitor trends and the level of the total labour costs broken down by industry, occupation and main components. The statistics on total labour costs are published once every year and are used to compare the total labour costs across industries and occupations., Statistical presentation, The labour costs for the private sector is published for 9 of the main class of industries in addition to 9 different types of occupation. Data on earnings are obtained from the annual structure of earnings survey for the private sector, which is based on a full-scale survey comprising business enterprises with more than 10 full-time employees, while other labour costs are based on a special sample survey for enterprises with 10 or more employees, also including apprentices and employees under the age 18. The labour costs comprise each employee's total earnings in connection with his/her job and other labour costs that are not considered to be an income for an employee., Read more about statistical presentation, Statistical processing, Data concerning the employees' earnings and wage are collected for each individual employee, while data on the other costs of the enterprise is collected at the level of the enterprise. Other labour costs are distributed on to the employees on the basis of a distribution formed by regulation and logical reasoning. The total labour costs per employee is calculated as the sum of all wages and the sum of other labour costs divided by the number of employees., Read more about statistical processing, Relevance, The labour costs are used by enterprises to compare costs associated with having people employed, with the costs of other enterprises with similar type of employees. The comparison is often done within a certain branch of economic activity or for a certain type of work. In addition, the statistics can be used to compare labour costs across EU-member countries. , Read more about relevance, Accuracy and reliability, There are no estimation of accuracy available at the moment. But in general the statistics on labour costs are considered as both very accurate and reliable., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once every year around august. There are normally no delays in publishing the statistics., Read more about timeliness and punctuality, Comparability, Due to changes in the compilation method, comparisons with statistics prior to 2014 are not possible. Owing to the fact that labour costs since 2002 are distributed per employee and not per enterprise as previously done, comparisons with statistics compiled before 2002 is not possible. Also, the statistics on labour costs for 1997-2001 are only to a limited extent comparable to those before 1997, which has to do with the application of a new method starting from 1997., Read more about comparability, Accessibility and clarity, The statistical data are updated and published once every year in , Statbank Denmark, , where all figures are available. If a greater level of detail or tabular cross-tabulations is required, they can be produced by DST Consulting., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-costs-for-corporations-and-organizations

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2024 , Previous versions, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the accounts statistics is to analyze the economics in agriculture including horticulture. Agriculture is divided into conventional and organic farms., In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts and for EU's information network for Agricultural Book-Keeping, INLB. , The accounts statistics for agriculture, horticulture and organic farming have been calculated, respectively since 1916, 1980 and 1996. The present form of the statistics has been calculated since 2008., Statistical presentation, The statistics analyze the profit and loss accounts, balance and investments at the level of farms (enterprise level). The primary statistical data contain detailed accounts items, including items for turnover, purchases, costs, operating result of the year, assets, liabilities and investments. In addition to this, the personal finances of the households are analyzed, as information on income outside of agriculture, paid taxes and private consumption are available for some farms. The farms are broken down by full-time and part-time farms as well as types of farming., Read more about statistical presentation, Statistical processing, The data material is gathered from accounting offices organized in the Danish Agriculture and Food Council and private auditors by using electronic data collection and questionnaires. The data is classified by the economic size is made on the basis of the total standard output (SO) of each individual farm. The SO is calculated for all types of crops and species of livestock as an average of the actual outputs (correspond to the Gross Output) per hectare or per animal in a reference period of five years. Data is checked and validated and afterwards the sample are weighted to the population. , Read more about statistical processing, Relevance, These statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The collections of data also meets the Danish obligations towards the European Union's Farm Accountancy Data Network, FADN., Read more about relevance, Accuracy and reliability, The statistics are compiled on a sample population and consequently, the results are subject to some degree of uncertainty. The sample is stratified with the aim of being representative for all farms. From the population of small farms, where the variation is small, a relatively small sample is selected, while from the population of large farms a larger sample is used. Loss of sample farms are countered by higher selection rates in strata where losses do occur (based on experience)., Read more about accuracy and reliability, Timeliness and punctuality, The final statistics are published before 1st of October in the year after the accounting year while preliminary data for agriculture are published in the beginning of July., Read more about timeliness and punctuality, Comparability, The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output., The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted., Read more about comparability, Accessibility and clarity, The figures are published in , Nyt from Danmarks Statistik, . The statistics is published in StatBank Denmark under , Agricultural accounts statistics, . Furthermore the numbers are published in an annual publication, publication, on agricultural accounts statistics. More information is available on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-agriculture

Documentation of statistics

Documentation of statistics: Account Statistics for Fishery

Contact info, Food Industries , Charlotte Spliid Hansen , +45 29 41 97 76 , CHH@dst.dk , Get documentation of statistics as pdf, Account Statistics for Fishery 2023 , Previous versions, Account Statistics for Fishery 2022, Account Statistics for Fishery 2021, Account Statistics for Fishery 2020, Account Statistics for Fishery 2019, Account Statistics for Fishery 2018, Account Statistics for Fishery 2017, Account Statistics for Fishery 2016, Account Statistics for Fishery 2015, Account Statistics for Fishery 2014, Account Statistics for Fishery 2013, Account Statistics for Fishery 2012, The purpose of the Account Statistics for Fishery is to review the economy of the fishery sector. The statistics is used in economic models and as a basis for yearly economic statistical reports for the fishery to EU (DG Mare). The statistics has been produced by Department of Food and Resource Economics at University of Copenhagen since 1996 and was transferred to Statistics Denmark from January 2009., Statistical presentation, The Account Statistics for Fishery covers the commercially fishery by fishing vessels registered in Denmark. The statistics is based on vessel units and is calculated for groups of fishing vessels (fleet segments) based on vessel size and main gear use., Read more about statistical presentation, Statistical processing, The authorized accountants report yearly the account for their fishery client. The collected accounts are thoroughly tested. When all accounts has been approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample. The complete dataset with individual balanced accounts for all units in the population is merged with register data on vessel characteristics, gear use etc. in order to calculate parameters for statistical groups (vessel segments)., Read more about statistical processing, Relevance, The statistics is relevant for government administration, researchers and stakeholders within the fisheries. Furthermore the data is used in the Fleet Economic Report to EU. , Read more about relevance, Accuracy and reliability, The statistic is based on a sample and the results are uncertain. The precision rely on the covering of the sample. Therefore the sample rate is bigger for vessels with high revenue. The aim is each year to include the 100 biggest vessels in the sample, and that approximately 80 per cent of the total value of landings in Danish fishery come from the vessels in the sample. Investments have the most uncertainty, because exchange of a vessel could result in closure of the fishing firm, and set up a new firm to run the new vessel., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the refence year., Read more about timeliness and punctuality, Comparability, The Account Statistics for Fishery is prepared using the same overall principles as the account statistics for agriculture, horticulture and aquaculture. The statistics has been prepared yearly since 1996. Break in series occurs in 2022 due to changes in methods for calculation population cutoff, as well as a new and improved basis for classifying which fishing types the vessels are grouped into. Break in series also occurs in 2001 due to inclusion of unpaid salary to active (working) partners, and in 2009 and again 2012 due to improved calculation of the capital value of fishing rights., Read more about comparability, Accessibility and clarity, The statistics is published yearly in NYT from Statistics Denmark. Data is accessible on StatBank Denmark in the tables AKFIREGN, FIREGN1, FIREGN2 and NFISK. More information on the statistics subject web-page: , Fishery, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/account-statistics-for-fishery

Documentation of statistics

Documentation of statistics: SME Access to Finance

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

Documentation of statistics

Documentation of statistics: Danish Foreign Affiliates

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, Danish Foreign Affiliates 2023 , Previous versions, Danish Foreign Affiliates 2022, Danish Foreign Affiliates 2021, Danish Foreign Affiliates 2020, Danish Foreign Affiliates 2019, Danish Foreign Affiliates 2018, Danish Foreign Affiliates 2017, Danish Foreign Affiliates 2016, Danish Foreign Affiliates 2015, Danish Foreign Affiliates 2013, Danish Foreign Affiliates 2012, The purpose of the statistics Danish Foreign Affiliates is to shed light on the Danish companies activities abroad through its controlled affiliates. Hence the statistics contributes considerably to the description of globalization, which is increasingly important to the development of the Danish economy and society. The statistics are comparable from 2007 onwards., Statistical presentation, This statistic is a yearly statistic, covering foreign affiliates (outside of Denmark) owned or controlled by parent companies in Denmark. The statistic measures the number of foreign affiliates as well as the number of employees, with breakdowns by activity and country of location., Read more about statistical presentation, Statistical processing, Data is collected annually via questionnaire in a census survey of all companies in Denmark that own or control affiliates abroad. Data is validated, both during and after data collection, to ensure a high data quality of data for the statistic., Read more about statistical processing, Relevance, The primary users of the statistics are ministries and other public institutions, and international organizations such as OECD and the European Commission. In addition the users cover news media, various industrial organizations and others with interest in globalization and the involvement abroad by Danish companies., Surveys on the users level of satisfaction have not been carried out, but users of the statistics express that they are satisfied with the statistics and its value., Read more about relevance, Accuracy and reliability, The survey result is based on submission of data from all relevant Danish parent companies with foreign affiliates. Any sample techniques and/or active use of thresholds have not been implemented. Thus the number of parent companies in the survey is approx. 5.000 and the number of foreign affiliates is approx. 15.000., It is estimated that missing values/data submissions in the survey have a insignificant impact on the statistical value., Read more about accuracy and reliability, Timeliness and punctuality, Danish foreign affiliates statistics is published approx. 14 months after the end of the calendar-year. The statistical information is collected in between May and November. Danish foreign affiliates is made public without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, This survey is also carried out in other European countries. Due to different approaches one cannot directly compare the results published in Denmark with the figures in Eurostat's database. The results published in Denmark cover all enterprises in Denmark that own/control foreign affiliates, regardless of ultimate controlling country. The figures in Eurostat solely cover enterprises that have the compiling country as ultimate controlling country., 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 , Danish Foreign Affiliates, . For further information, go to the , International enterprises, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-foreign-affiliates

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Technical Testing and Analysis

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Technical Testing and Analysis 2023 , Previous versions, Business Services in the Sector for Technical Testing and Analysis 2019, Business Services in the Sector for Technical Testing and Analysis 2017, Business Services in the Sector for Technical Testing and Analysis 2015, Business Services in the Sector for Technical Testing and Analysis 2013, The purpose of the statistics Technical testing and analysis is to provide information on turnover and types of services in enterprises with Technical testing and analysis as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). , The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2003. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Technical testing and analysis. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector., The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every second year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-technical-testing-and-analysis

Documentation of statistics