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    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

    Documentation of statistics: Economy-wide material flow accounts

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Economy-wide material flow accounts 2023 , Previous versions, Economy-wide material flow accounts 2022, Economy-wide material flow accounts 2021, Economy-wide material flow accounts 2020, Economy-wide material flow accounts 2019, Economy-wide material flow accounts 2018, Economy-wide material flow accounts 2017, Economy-wide material flow accounts 2016, Economy-wide material flow accounts 2014, Economy-wide material flow accounts 2013, The material flow accounts can be used to describe and understand the interaction between the country's economy and the consumption of natural resources. In the material flow accounts, the weight of the materials used in the country's economy as a whole is calculated. Additionally, the total amount of resources globally extracted to produce the materials and goods used in the economy is estimated using raw material equivalents. Material flow accounts measured by weight have been compiled since 2014 and contain published data from 1993 onwards. Material flow accounts measured in raw material equivalents are available from 2008 onwards., Statistical presentation, The material flow accounts are an annual report on the weight of Danish resource extraction, as well as the import and export of goods and natural resources distributed by material types, while the raw material equivalents indicate the amount of raw materials globally used to produce the goods included in the material flow accounts. In both accounts, three derived indicators are also calculated, namely direct material input, domestic material consumption, and physical trade balance. Raw material equivalents are also calculated for imported and exported goods and services., Read more about statistical presentation, Statistical processing, The EW-MFA and the RME are compiled on the basis of internal sources on resource extraction, import and export The RME account is based on modelling. , Read more about statistical processing, Relevance, The Material Flow Accounts and raw material equivalents are relevant for anyone seeking information on the relationship between the economy and the use of natural resources. The results are pertinent for analyses of sustainable resource consumption, as domestic material consumption serves as an indicator for two of the UN's sustainability goals. The accounts are requested by ministries, agencies, consulting firms, among others. The accounts are part of the European environmental economic accounts collected by Eurostat., Read more about relevance, Accuracy and reliability, The overall Material Flow Accounts are based on a range of well-established official statistics. However, the information about the weight of different material types relies in some cases on conversion factors from other units, introducing uncertainty. Additionally, the raw material equivalents are based on a relatively new calculation method involving model calculations and a wide range of assumptions and estimates. Consequently, these figures are associated with greater uncertainty and primarily express orders of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published three years and three months after the end of the reference period. The statistics are typically published without delays compared to the planned timing., Read more about timeliness and punctuality, Comparability, The Material Flow Account follows the UN's standard for environmental economic accounts, the System of Environmental Economic Accounting (SEEA). Therefore, the account is comparable to other countries' Material Flow Accounts that adhere to the same guidelines., Read more about comparability, Accessibility and clarity, These statistics are in a Danish press release. In the StatBank, these statistics can be found under the subject , Material flows and waste, . In addition the statistics has a , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economy-wide-material-flow-accounts

    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

    Contact: DST Survey

    Section/Title, Name, Phone, Mail, Student, Student, Nicoline Buur Christiansen , +45 20 29 03 82, nbc@dst.dk, Student, Student, Josephine Louise Mattsson , +45 20 45 80 12, jms@dst.dk, Student, Student, Celina Skau , +45 23 20 72 38, ces@dst.dk, Management and Office Support, Head of Division, Head of Division, Marie Fuglsang , +45 20 35 39 25, mfu@dst.dk, Consultancy Team, Chief Adviser, Chief Adviser, Bo Lønberg Bilde , +45 91 37 64 26, bbi@dst.dk, Chief Adviser, Chief Adviser, Martine Friisenbach , +45 28 18 69 64, maf@dst.dk, Senior Adviser, Senior Adviser, Nils Galberg Enoksen , +45 29 34 09 44, nge@dst.dk, Senior Adviser, Senior Adviser, Morten Jacobsen , +45 51 68 78 56, mjb@dst.dk, Senior Adviser, Senior Adviser, Lotte Yssing Jakobsen , +45 21 47 43 98, lyj@dst.dk, Head of Section, Head of Section, Joakim Schollert Ejstrup , +45 22 27 80 48, joa@dst.dk, Head of Section, Head of Section, Nethe Cecilie Eskildsen , +45 29 60 59 52, nes@dst.dk, Head of Section, Head of Section, Ida Karlsson , +45 29 77 67 52, ika@dst.dk, Head of Section, Head of Section, Casper Sten Larsen , +45 29 34 12 60, cst@dst.dk, Senior Head Clerk, Senior Head Clerk, Mette Rønnelund , +45 20 58 64 25, mrl@dst.dk, Finance Team, Senior Head Clerk, Senior Head Clerk, Hakima Kaabony , +45 20 56 95 77, hak@dst.dk, Senior Head Clerk, Senior Head Clerk, Nina Egelund Petersen , +45 23 43 09 94, nep@dst.dk, Pop/Stik team, Chief Adviser, Chief Adviser, Poul Juhl Vestergaard , +45 24 81 42 20, pjv@dst.dk, Head of Section, Head of Section, Ninna Linde , +45 20 59 02 62, nll@dst.dk, Head of Section, Head of Section, Nikolaj Beck Nielsen , +45 24 94 57 19, nbn@dst.dk, System Analyst, System Analyst, Jesper Christensen , +45 41 17 93 43, jch@dst.dk, System Analyst, System Analyst, Lars Peter Jørgensen , +45 24 48 59 37, lpj@dst.dk, System Analyst, System Analyst, Nuri Peker , +45 27 14 82 97, npe@dst.dk, Visiting Interviewers Team, Chief Adviser, Chief Adviser, Monika Klingsbjerg-Besrechel , +45 27 14 71 82, mom@dst.dk, Senior Adviser, Senior Adviser, Thomas Bonde , +45 20 59 25 86, thb@dst.dk, Head of Section, Head of Section, Ninette Schrøder Nielsson , +45 20 47 84 59, nne@dst.dk, Office Clerk, Office Clerk, Annarosa Winnifred Rosabella Karlsen , +45 21 54 31 61, hef@dst.dk, Senior Head Clerk, Senior Head Clerk, Lotte Fischer Jensen , +45 91 37 64 14, lfj@dst.dk, Senior Head Clerk, Senior Head Clerk, Merete Panum , +45 25 67 25 91, mpa@dst.dk

    https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=17&tlfbogsort=sektion

    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: Recidivism

    Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , ipe@dst.dk , Get documentation of statistics as pdf, Recidivism 2023 , Previous versions, Recidivism 2022, Recidivism 2021, Recidivism 2020, Recidivism 2019, Recidivism 2018, Recidivism 2017, Recidivism 2014-2016, Recidivism 2013-2015, Recidivism 2012-2014, Recidivism 2011-2013, Recidivism 2010-2012, The purpose of Recidivism is to analyze the extent of new criminality among persons who have been released after serving in jail or have received a guilty decision during a calendar year., The statistics on Recidivism was made up the first time for persons released or convicted in 2007 and has hereafter been produced annually., Statistical presentation, The statistics on recidivism form part of the criminal statistics. The criminal statistics include statistics on criminal cases as reported criminal offences, victims of reported criminal offences, imprisonments and convictions., The statistics shed light on new criminality among people who have been released after serving in jail or have received a guilty decision during a year. The extent and type of new crimes committed during a follow-up period of two years are calculated. , Furthermore, information on level of education and the extent of criminality the five years previous to the actual year form part of the statistics., Read more about statistical presentation, Statistical processing, The source to the statistics are data from other statistical registers operated by Statistics Denmark. Data from the registers are delivered yearly via System-to-system-transmission. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year. Data about decisions, charges and admissions to prisons from Statistics Denmark's criminal statistical registers are linked to data from Statistics Denmark's register of the population's highest level of education and Statistics Denmark's register of Populations Statistics., Read more about statistical processing, Relevance, Statistikken bliver anvendt bredt af myndigheder, organisationer, forskere, pressen mv. Tabellerne i Statistikbanken er hyppigt anvendt. Fremsatte synspunkter og ønsker fra centrale brugere tages i betragtning ved udarbejdelse af statistikken., Read more about relevance, Accuracy and reliability, The statistics on recidivism is based on other of Statistics Denmark's statistical registers where the reliability is considered to be good. However, the number of emigrants is assessed to be under-estimated with 15-20 percentages. The statistics include persons who are registered with a decision in the central criminal register at the time the extract to Statistics Denmark is done. A number of decisions made during the calendar year will happen not to be registered at that time. That implies that the total number of persons in the defined population presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 1 year and 9 months after the end of the reference period. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 2007, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time., Some of the published data are not available for all years., No international comparable statistics are available., Read more about comparability, Accessibility and clarity, The statistics on convictions are published in: , News from Statistics Denmark, , the publication , Kriminalitet (Criminality), and in , StatBank, ., At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject Page, ., Taylor made statistics can be prepared on bases of the ready-made files. Through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymized data., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Health among young people not in employment, education or training (NEET) (experimental statistics)

    Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , LHA@dst.dk , Get documentation of statistics as pdf, Health among young people not in employment, education or training (NEET) (experimental statistics) 2023 , Previous versions, Health among young people not in employment, education or training (NEET) (experimental statistics) 2022, Health among young people not in employment, education or training (NEET) (experimental statistics) 2021, The purpose of Health among young people not in employment, education or training (NEET) is to shed light on hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds, distinguishing between the inactive NEETs (Not in Employment, Education or Training) and the remaining group of active young people. The statistics are used to compare the state of health among NEETs and the remaining group of active young people. These statistics have been compiled since 2019 and are in their current form comparable from 2019 and onwards., Statistical presentation, Health among young people not in employment, education or training (NEET) are a yearly measurement of hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds stated in number and proportion of people, as well as number of contacts with the hospital system and selected health professionals/redeemed prescriptions per person. The statistics are grouped by NEET status (the NEET group vs. the remaining group of active young people), sex and by geography., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Register-Based Labour Force Statistics and the two health statistics: the Hospital Utilisation Statistics and the Health Insurance Statistics as well as the Register of Pharmaceutical Sales. Collected data are not further validated. Instead, collected data are merged, and the detailed information about the population's hospital utilisation, consultations with physicians and purchases of prescription medicine is aggregated into the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of the health of the NEET group., Read more about relevance, Accuracy and reliability, The overall accuracy of these statistics is high, which means that they are a good measure of the health status among the NEET group and the remaining group of active 16-24-year-olds. However, it should be noted that the operationalization of NEET status implies a great diversity within the NEET group, for this reason far from all young people in this group should be designated vulnerable. Overall, the statistics are reliable, as both the data and methods are of good quality. As the statistics only release final figures, revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 1.5 years after the end of the reference period. Publications are released on time as stated in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2019 and are in their present form comparable from 2019 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published once 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 , Health of vulnerable groups, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-among-young-people-not-in-employment--education-or-training--neet---experimental-statistics-

    Documentation of statistics

    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

    Documentation of statistics: Electricity and natural gas prices

    Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , OLO@dst.dk , Get documentation of statistics as pdf, Electricity and natural gas prices 2025 , Previous versions, Electricity and natural gas prices 2024, Electricity and natural gas prices 2023, Electricity and natural gas prices 2022, Electricity and natural gas prices 2021, Electricity and natural gas prices 2020, Electricity and natural gas prices 2019, Electricity and natural gas prices 2018, The statistics shows prices of natural gas and electricity, within break downs into size groups of consumers, business and household respectively. Prices are shown, without and with taxes and VAT. The prices are to be comparable across EU countries for the benefit of a well functioning single market. The statistics has been compiled since 2007 in the present way., Statistical presentation, Natural gas and electricity prices are overall compiled for household customers and business customers, in practice consumers which are non-households. The prices are compiled for the customers broken down use per year. Some price elements are very depending of the amount of use. Prices are compiled biannual in four levels: Price at energy company, Price incl. supply, Price incl. non-recoverable taxes, 3. Prices including all taxes and VAT, as the final price are composed of several elements. The main collection and compiling of data is done by the Danish Energy Agency. , Read more about statistical presentation, Statistical processing, The data is collected from sales companies. Furthermore, public available information from distributers isused , supplemented by actual fees and taxes plus schemes for recovering. Some elements in the prices are partly based on estimates and not registered payments. The collected prices on energy plus information from distributers and the Tax authority on tariffs, taxes and VAT, respectively, are compiled to fulfill the definitions on the four price levels., Read more about statistical processing, Relevance, Natural gas and electricity costs are important to most citizens and enterprises and also in regards to the competitive situation among EU countries. Therefore, it is relevant with reliable, transparent and comparable price statistics at important energy product., Read more about relevance, Accuracy and reliability, The product prices for electricity and natural gas are based on a total census. However, there may be uncertainty in the composition of different data components, as they do not always follow the same groupings. Payments on account may result in minor accrual shifts in natural gas prices. In addition, distribution costs may be difficult to calculate precisely in relation to the actual average deliveries to customers. The statistics are based on certain model assumptions, including the behavior of companies eligible for reimbursement and households' use of electric heating. Overall, however, the uncertainty is assessed to be low, and any errors or deviations are corrected on an ongoing basis., Read more about accuracy and reliability, Timeliness and punctuality, The results have to be compiled three month after end of reference period, i.e. end of March and end of September, respectively., Read more about timeliness and punctuality, Comparability, The results are fully comparable over time from 2015 and onwards. For previous years there are also high comparability, in particular for largest size groups (non-households). Prices since 2007 are in Eurostats databank., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Energy prices, . See also the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/electricity-and-natural-gas-prices

    Documentation of statistics

    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