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Documentation of statistics: Church Statistics

Contact info, Population and Education , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Church Statistics 2017 , Previous versions, Church Statistics 2016, Church Statistics 2014, The statistics cover the people’s relation to the national church. Furthermore it accounts for the number of different religious ceremonies, among other baptisms, confirmations and funerals., The production of statistics on the national church was introduced in 1974. There have not been produced statistics on the national church for the years 2003-2006. For the years 1984-2002 statistics on recognized religious communities, their members and religious ceremonies corresponding to the religious ceremonies of the national church was also produced. , Statistical presentation, The statistics is produced for parishes, deaneries and dioceses., The basis for the statistics is partly data from the Central Population Register (CPR) and partly data on religious ceremonies reported from each parish. The data on religious ceremonies is received from the Ministry of Ecclesiastical Affairs., The statistics based on data from CPR concerns the number of members of the National Church, registrations and resignations as well as births and deaths., The statistics based on data from the Ministry of Ecclesiastical Affairs concerns baptism, confirmations, funerals, persons presented to the church, number of banns and religious blessings., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from the Ministry of Ecclesiastical Affairs is basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, The Ministry of Ecclesiastical Affairs, interest groups within the ecclesiastical area and the media are using the statistics for public and private planning and as input to the public debate., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., The the data from the Ministry of Ecclesiastical Affairs is also considered to be of high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning the National Church is published app. 45 days after the end of the year., Read more about timeliness and punctuality, Comparability, The statistics on the National Church has been produced since 1974. Until 1984 the statistics were exclusively based on data from the the Central Personal Register (CPR) while the statistics for the years 1984-2002 have been supplemented with a survey on the recognized religious communities. In this period the statistics is comparable. For certain main figures comparable time series from 1980 were disseminated., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release and are presented in the , Statistical Yearbook, . In the Statbank these statistics can be found under the subjects , Members of the National Church, and , Religious ceremonies, . For further information go to the subject pages for , Members of the National Church, and , Religious ceremonies, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/church-statistics

Documentation of statistics

Merging of Projects

It is possible to merge projects. This may be relevant if you wish to broaden existing projects. , With the new pricing model being introduced in 2026 and 2027 (, read more here, ), there may also be a financial advantage to merging projects, as payment thereafter will be calculated based on the number of users and the number of data packages in each project., When should you merge projects?, Research Services (RS) recommends that you already begin considering which projects may beneficially be merged, but wait with the actual merging until the new pricing model comes into effect in January 2026., How to merge projects, Contact Research Services (RS), Contact the RS project owner responsible for one of the projects you wish to merge and specify which projects you want to merge., RS will assess whether the projects should be combined into a new project proposal or under an existing project with a broader project description., New project proposal is created or previous proposal is revised, The project description must include purpose, description, and importance to society covering all projects to be merged. Keep the purpose broad, so that it is possible to cover several relevant aspects of a topic and expand the project along the way with new data., Select relevant data in Denmark’s Data portal (DDP) and add additional data sources as well as any discontinued data from our databank of basic data with accompanying documentation. Paths to external data must be sent by email to the RS project owner responsible for the project., Make sure to obtain and submit all necessary approvals from external data providers. This is a prerequisite before we can transfer data., If one of the projects includes the Danish pharmaceutical products database (LMDB) or external data from the Danish Health Data Authority, you must apply for renewed approval to transfer data to the new project., o Please note that LMDB and the Medicine statistics register (LSR) cannot be ordered for the same project., Submit project proposal, Once the project proposal has been submitted, the RS project owner will send a price contract based on a framework agreement. The framework agreement covers the processing of the project proposal, re-delivery of data from our databank of basic data, processing of external data and any discontinued registers, as well as the transfer of files and programs from the workdata folder., Approval, delivery, and completion, You agree on a deletion date for the old projects with the RS project owner., RS and the signatory at your institution sign the new project., If files from the workdata folder need to be transferred, you must send an email to the RS project owner with the path to both the old folders/files and the new project. In the email, you must confirm that the files do not contain microdata (e.g., key variables or other identifiable information)., RS delivers the data from our bank of basic data, external data and transfers the content from the workdata folders to the new project., Important points of attention, In rare cases, users may have hardcoded de-identified values. These cannot be retrieved after merging, as a new key will be applied., The same applies if de-identified values have been used to remove outliers., Sorting will change, as data is sorted by de-identified values. If row numbers have been used in programs (e.g., for random selection), these will no longer work.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/sammenlaegning-af-projekter

Documentation of statistics: Primary and lower secondary education

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , rie@dst.dk , Get documentation of statistics as pdf, Primary and lower secondary education 2024 , Previous versions, Primary and lower secondary education 2023, Primary and lower secondary education 2022, Primary and lower secondary education 2021, Primary and lower secondary education 2019, Primary and lower secondary education 2018, The purpose of the statistics on the Danish primary and lower secondary education is to present the number of pupils and the scale of pupils per class in the Danish school system. The statistics describe the intake and graduation from the basic school system, which in Denmark are the primary and lower secondary schools. In the present form, the statistics are comparable from 2007, from 2009 for number of pupils per class and from 2012 for special needs education. , Statistical presentation, The primary and lower secondary education statistics provide annual data on enrollment and completion from grade 0 to 10/11, including special needs participation and average class size. The data are broken down by grade, school type, age, gender, heritage, and geography. Based on the Student Register, a longitudinal database, the statistics enable tracking of each student’s educational path throughout their basic schooling., Read more about statistical presentation, Statistical processing, The Danish primary and lower secondary education dataset is based on annual reports from school administrative systems collected for the Student Register. Most data is reported system-to-system, while some institutions use web questionnaires. After collection, Statistics Denmark performs thorough data validation. Special needs education data is collected annually; public schools report via administrative systems, and private schools report through the Ministry of Education., Read more about statistical processing, Relevance, The statistics serve public administrators, researchers, analysts, journalists, and citizens for forecasting, analysis, and planning. The underlying data supports most personal statistics at Statistics Denmark and forms the basis for education tables in the Statbank. The statistics document student intake, departure, and transitions between classes or programs within the Danish education system, underpinning many education-related tables in the Statistics Denmark databank., Read more about relevance, Accuracy and reliability, The reliability of the educational information is considered to be high. The information in the statistics is obtained from the institutions' administrative registers and goes through comprehensive error check procedures in connection with the annual data collections. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 3 to 4 months after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date. , Read more about timeliness and punctuality, Comparability, Statistics Denmark has collected data on pupils in Danish primary and lower secondary schools since the 19th century. Comparable data in its current form are available from 2007, when grades 0 to 10/11 began to be compiled. Pupils per class have been recorded since 2009, and special needs education data since 2011. The statistics follow common European guidelines and are comparable with OECD data from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Primary and lower secondary education, and in a Danish press release. For further information go to the , subject page, for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/primary-and-lower-secondary-education

Documentation of statistics

Documentation of statistics: Structure of Earnings

Contact info, Labour Market, Social Statistics , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2024 , Previous versions, Structure of Earnings 2023, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

Documentation of statistics

Contact Research Services

You can contact Research Services by email or call during our opening hours. In the drop-down menu below, you can find contact information depending on the nature of your inquiry., IT-support for remote login, servers or other IT issues, If you need help with remote login, servers or other IT problems, you can contact IT-support., Phone: +45 39 17 38 00, Opening hours:, Monday-Thursday: 8:30-16:00, Friday: 8:30-15:30, Mail:, servicedesk@dst.dk, Research Services Support, If you have questions about Statistics Denmark’s microdata schemes, user access, or the process of ordering data via Denmark’s Data Portal, you can contact Research Services Support on weekdays. Please note that we do not transfer calls to individual staff members., Find answers to the most frequently asked questions about Denmark’s Data Portal here, Phone: +45 39 17 31 30, Opening hours:, Monday-Friday: 10:00-12:00, Research Services Support will be closed Monday, November 3rd through Tuesday, November 4th, and from Monday, December 22nd through Friday, January 2nd., Mail:, forskningsservice@dst.dk, Mails are answered within two working days., Error support for Denmark’s Data Portal, If you experience technical problems or errors in Denmark’s Data Portal (DDP), you can contact DDP-support., Mail:, ddvsupport@dst.dk, Inquiries about project proposal in Denmark’s Data Portal, If your inquiry is about a project proposal in Denmark’s Data Portal (DDP), you can contact the project owner at Statistics Denmark (SD). You can find the project owner in DDP under ’about the project’. If the project has not been assigned a SD project owner, you can contact Research Services Support., Read more about how to order data in Denmark’s Data Portal here , Inquiries about authorisations, If you have questions regarding applications for authorisation or client authorisation, please write to the mail below. , Mail:, fseautorisation@dst.dk, Read more about authorisation of institutions here, Inquiries about rules and data security, If you have questions regarding rules for working with microdata, including rules on transfer of analysis results and sanction rules, please write to the mail below., Mail:, fsehjemtag@dst.dk, Read more about rules and data security here, Inquiries about physical tokens, For inquiries regarding physical tokens, please write to the mail below., Mail:, les@dst.dk,  , Delivery times in Research Services, At Research Services, we process your inquiry/task as quickly as possible, and all inquiries/tasks are processed in the order they are received., The current delivery times are as follows:,  , From your first inquiry to the delivery of data, the average processing time is about 21 days., From contract signing/price approval to delivery, the average processing time is 12 days.,  ,  ,  

https://www.dst.dk/en/TilSalg/data-til-forskning/om-forskningsservice/kontakt-forskningsservice

Documentation of statistics: Enterprise Groups in Denmark

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2023 , Previous versions, Enterprise Groups in Denmark 2022, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

Documentation of statistics

Contact: Methodology and Analysis

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Peter Tibert Stoltze , +45 26 74 35 83, psl@dst.dk, Analysis, Senior Adviser, Senior Adviser, Magnus Nørtoft , +45 42 46 19 45, mnt@dst.dk, Head of Section, Head of Section, Aske Skov Andersen , +45 20 28 51 37, ake@dst.dk, Data Science Lab, Chief Adviser, Chief Adviser, Laust Hvas Mortensen , +45 91 37 64 21, lhm@dst.dk, Senior Adviser, Senior Adviser, Emilie Rune Hegelund , +45 20 56 47 11, ehe@dst.dk, Senior Adviser, Senior Adviser, Ilya Kashnitsky , +45 21 13 09 82, ikx@dst.dk, Bachelor, Bachelor, Signe Dueholm Nielsen , +45 42 26 22 27, sdn@dst.dk, Student, Student, Laura Wismar Hansen , +45 24 62 57 44, lwh@dst.dk, Student, Student, Jasper Djurs McEwan , +45 24 62 45 36, jam@dst.dk, Method, Chief Adviser, Chief Adviser, Jolien Cremers , +45 24 66 81 33, joc@dst.dk, Chief Adviser, Chief Adviser, Helene Birgitte Feveile , +45 21 34 72 18, hfe@dst.dk, Senior Adviser, Senior Adviser, Mikkel Mollerup , +45 23 35 55 08, mim@dst.dk, Senior Adviser, Senior Adviser, Georg Paludan-Müller , +45 51 53 13 84, gpm@dst.dk, Head of Section, Head of Section, Johan Andresen , +45 23 74 62 13, jhd@dst.dk, Head of Section, Head of Section, Maria Porsman , +45 21 78 39 97, mzp@dst.dk, Bachelor, Bachelor, Philip Porter , +45 20 48 26 53, php@dst.dk, Quality, Chief Adviser, Chief Adviser, Anne Kaag Andersen , +45 91 37 64 25, aka@dst.dk, Chief Adviser, Chief Adviser, Karin Wenche Schytte Blix , +45 40 55 38 67, kwb@dst.dk, Chief Adviser, Chief Adviser, Søren Kristensen , +45 20 51 64 42, skr@dst.dk, Chief Adviser, Chief Adviser, Ole Schnor , +45 52 50 77 37, osc@dst.dk, Senior Adviser, Senior Adviser, Rohan James Draper , +45 21 33 89 16, rjd@dst.dk, Head of Section, Head of Section, Anna Dorthe Bracht Nielsen , +45 29 33 59 20, abn@dst.dk, Senior Head Clerk, Senior Head Clerk, Anette Nymand Rasmussen , +45 23 70 86 66, alu@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=22&tlfbogsort=sektion

Documentation of statistics: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2024 , Previous versions, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, Documents associated with the documentation, SILC 2024 spørgeskema (pdf) (in Danish only), In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Documentation of statistics: Development in Rents (housing)

Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent., Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 (only approx. 85,000 for 1. quarter 2022) rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

Documentation of statistics

Documentation of statistics: Corporate Taxation

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2023 , Previous versions, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, The statistics are published annually in a Danish press release. In the StatBank the figures are published under , Corporation taxation, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

Documentation of statistics