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    Documentation of statistics: Forest Accounts

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Zörner , +45 24 41 73 66 , MIZ@dst.dk , Get documentation of statistics as pdf, Forest Accounts 2024 , Previous versions, Forest Accounts 2023, Forest Accounts 2022, Forest Accounts 2021, Forest Accounts 2020, Forest Accounts 2018, Forest Accounts 2016, The forest accounts are accounts for the Danish forests as a natural resource. The accounts comprise the forest land as well as the wood (timber) resource. The forest accounts were first published in 2017, as part of the Green National Accounts for Denmark. In 2021, the accounts have been extended back in time so all data series start in 1990., Statistical presentation, The forest accounts are an annual account of the Danish forest area and the growing stock in the forests. The accounts contain opening and closing stocks as well as balancing items broken down by region. Concerning the growing stock, the accounts are in physical units (cubic meters) as well as monetary units (DKK) and are published with a division into broadleaves and conifers, whereas the forest area is accounted only in physical units (square km). The accounts are published in the StatBank as well as in general publications from the Green National Accounts for Denmark., Read more about statistical presentation, Statistical processing, The forest accounts are produced separately for forest area and for growing stock. The accounts for the forest area are obtained almost directly from the Danish reporting on land cover under the Kyoto Protocol and from the calculation of the area of undisturbed forest provided by the Agency for Green Transition and Aquatic Environment. For the physical growing stock accounts, several sources are matched and harmonized in order to compile complete and consistent accounts. From the physical growing stock accounts, the monetary accounts (in DKK) are calculated through a valuation model based on estimated prices., Read more about statistical processing, Relevance, The forest accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in forest, natural resources, interactions between environment and economy, natural capital, sustainability etc. In the context of the United Nations and other international organizations, there is a large focus on green national accounts., Read more about relevance, Accuracy and reliability, The forest accounts are reliable estimates of the physical size of the resources, as well as the change in these over a number of years. Smaller variations from one year to the next may however reflect uncertainties rather than real changes. Especially for the monetary valuation of the growing stock (in DKK) there is significant uncertainty, both concerning the estimated prices as well as inherent in the method used which is based on a number of assumptions. The estimate for the value of the growing stock should therefore be considered a provisional estimate of the order of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The forest accounts are normally published 21 months after the reference period ends. Apart from minor adjustments of the target date, the accounts have always been published as planned., Read more about timeliness and punctuality, Comparability, The forest accounts are compiled according to the guidelines for asset accounts for natural resources from the UN statistical standard 'System of Environmental-Economic Accounting'. This ensures a high degree of comparability with the same type of accounts from other countries using this standard. The forest accounts are fully comparable across the published time series within the individual tables., Read more about comparability, Accessibility and clarity, The forest accounts are available in their most detailed form in the StatBank under the subject , Natural resource accounts, . General results are communicated through Statistics Denmark's various publications covering the Green National Accounts for Denmark. See also the topic page , Natural resource accounts, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/forest-accounts

    Documentation of statistics

    Documentation of statistics: Energy consumption in manufacturing industries

    Contact info, Business Dynamics, Business Statistics , Ole Olsen , +45 29 77 14 98 , OLO@dst.dk , Get documentation of statistics as pdf, Energy consumption in manufacturing industries 2024 , Previous versions, Energy consumption in manufacturing industries 2023, Energy consumption in manufacturing industries 2022, Energy Consumption 2020, Energy Consumption 2018, Energy Consumption 2016, Energy Consumption 2014, Energy Consumption 2012, The purpose of the energy census for the manufacturing industry is to analyze volume and composition of the energy consumed by the manufacturing industry., Data on energy consumption by manufacturing industry is provided bi-annually from 1980 and latest 2018, 2020, 2022 and 2024., Statistical presentation, The energy census for the manufacturing industry covers all work places in industrial companies with at least 20 employees. That is equivalent to approximately 90 per cent of the energy consumption by manufacturing. It covers in principle the consumption of all energy sources in the production excl. external transport., Read more about statistical presentation, Statistical processing, Data is collected every two years from companies in industry and parts of the raw material extraction with at least 20 employees. The data undergoes a thorough error check, among other things to ensure correct unit statements and by comparing with the previous year. For workplaces subject to the CO2 quota scheme, the figures are compared with their reported energy consumption. The error-checked data is collected and adjusted by replacing missing information for 1-3 percent of the companies., Read more about statistical processing, Relevance, The results from the energy census are used by Statistics Denmark to compile energy balances that are used in the national accounts. , Furthermore, the parties involved in energy planning, for instance municipalities, counties, the Energy Agency and affected supply companies, need the information., A number of industrial associations, private companies and research institutes have also expressed an interest in the results. Furthermore, the energy census is used for energy statistics compiled by the International Energy Agency (IEA)., Read more about relevance, Accuracy and reliability, In general the quality of the statistics is good - especially main figures which builds on aggregates., At a more detailed level, the results are more uncertain, mainly due to measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, Results are published no later than eight months 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, Data on energy consumption by manufacturing industry is provided from 1980 and the concept has almost been kept since. , Time series can be found in The Statbank for the years since 2012., 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 , Energy consumption, . For further information, go to the , subject page, . , Customised extracts from the statistics can be ordered. Researchers and other analysts from authorized research institutions can be granted access to the underlying microdata by contacting , Research Services, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-consumption-in-manufacturing-industries

    Documentation of statistics

    Contact: Government Finances

    Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Thomas Andriianets-Olsen , +45 21 14 80 64, tol@dst.dk, Public finance, Chief Adviser, Chief Adviser, Jesper Lillebro Feddersen , +45 20 51 61 92, jef@dst.dk, Chief Adviser, Chief Adviser, Martin Rune Rasmussen , +45 24 77 42 71, mra@dst.dk, Head of Section, Head of Section, Helene Gjermansen , +45 24 76 70 09, hgj@dst.dk, Head of Section, Head of Section, Jonathan Olsen Hald-Andersen , +45 23 83 05 47, ols@dst.dk, Head of Section, Head of Section, Maximilian Overgaard Hueg , +45 21 47 14 23, mjh@dst.dk, Head of Section, Head of Section, Marianne Ahle Møller , +45 24 66 00 28, mnm@dst.dk, Head of Section, Head of Section, Ida Balle Rohde , +45 61 24 24 85, ilr@dst.dk, Head of Section, Head of Section, Clara Westphal Jensen , +45 40 11 91 88, cwj@dst.dk, Senior Clerk, Senior Clerk, Jeppe Føge Jensen , +45 40 22 58 23, jfj@dst.dk, Senior Head Clerk, Senior Head Clerk, Ralf Frimand , +45 29 39 42 73, raf@dst.dk, Senior Head Clerk, Senior Head Clerk, Martin Fuglsang , +45 24 76 16 62, mbn@dst.dk, Senior Head Clerk, Senior Head Clerk, Bente Juul , +45 21 54 41 63, bch@dst.dk, Senior Head Clerk, Senior Head Clerk, Louise Kristensen , +45 40 26 71 43, lek@dst.dk, Senior Head Clerk, Senior Head Clerk, Per Svensson , +45 20 56 93 96, psv@dst.dk, Sector accounts, wealth and debt, Senior Adviser, Senior Adviser, Ivanna Blagova , +45 30 34 41 52, ibl@dst.dk, Head of Section, Head of Section, Mathias Spindler Juhl Bundgaard , +45 21 45 37 78, bun@dst.dk, Head of Section, Head of Section, Marta Klara Egstrup , +45 61 20 26 28, meg@dst.dk, Head of Section, Head of Section, Ulla Ryder Jørgensen , +45 51 49 92 62, urj@dst.dk, Head of Section, Head of Section, Jacob König , +45 40 40 58 41, cob@dst.dk, Head of Section, Head of Section, Nina Maria Schou Madsen , +45 23 84 68 44, nsc@dst.dk, Head of Section, Head of Section, Stefan Koch Olsen , +45 51 23 92 17, sto@dst.dk, Head of Section, Head of Section, Mikkel Bjerre Trolle , +45 29 36 68 25, mit@dst.dk, Head of Section, Head of Section, Mathias Udsen , +45 23 82 49 83, uds@dst.dk

    https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=05&tlfbogsort=sektion

    Contact: Communication and Statbank

    Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Majken Lenskjold , +45 22 42 07 48, mle@dst.dk, Publication and Press, Senior Adviser, Senior Adviser, Marianne Kjær Mackie , +45 30 46 18 41, mma@dst.dk, Senior Adviser, Senior Adviser, Anne Marie Underbjerg , +45 40 16 46 98, amu@dst.dk, Head of Section, Head of Section, Sigrid Friis Neergaard , +45 23 27 18 33, sfn@dst.dk, Head of Section, Head of Section, Katrine Tranberg-Hansen , +45 21 43 95 29, trh@dst.dk, Graphic designer, Graphic designer, Pia Klinkby , +45 41 57 01 78, pky@dst.dk, Journalist, Journalist, Karina Schultz , +45 23 27 98 45, shz@dst.dk, StatBank and Information Service, Chief Adviser, Chief Adviser, Lars Knudsen , +45 22 80 03 18, lak@dst.dk, Senior Adviser, Senior Adviser, Tina Benn , +45 24 92 48 93, tib@dst.dk, Senior Adviser, Senior Adviser, Mette-Line Jakobsen , +45 29 31 75 05, mjk@dst.dk, Senior Adviser, Senior Adviser, Jacob Christian Solander , +45 29 17 94 25, jcs@dst.dk, Head of Section, Head of Section, Sofie Solvang Dalum , +45 23 28 78 40, ssd@dst.dk, Head of Section, Head of Section, Joachim Haugbølle , +45 30 68 39 80, jcb@dst.dk, Head of Section, Head of Section, Anni Renner Mortensen , +45 23 27 59 84, arm@dst.dk, Head of Section, Head of Section, Agnete Wagtberg Ilsøe Stauning , +45 20 49 27 84, awl@dst.dk, Senior Head Clerk, Senior Head Clerk, Lina Agerskov Hansen , +45 30 57 73 44, lah@dst.dk, Web team, Chief Adviser, Chief Adviser, Anne Larsen , +45 51 14 83 25, ala@dst.dk, Senior Adviser, Senior Adviser, Sofia Meyling Honoré , +45 29 79 08 37, shn@dst.dk, Senior Adviser, Senior Adviser, Anne Sarah Skjøth Sohn , +45 21 12 87 54, ars@dst.dk, Head of Section, Head of Section, Kristine Stoltz Tønnesen , +45 23 82 18 53, kmt@dst.dk, Senior Head Clerk, Senior Head Clerk, Margrethe Pihl Bisgaard , +45 29 31 05 83, mpb@dst.dk, Senior Head Clerk, Senior Head Clerk, Anders Bloch Hansen , +45 23 35 40 38, abh@dst.dk

    https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=16&tlfbogsort=sektion

    Profile on employees

    Do you want a statistical overview of your employees or members in your organisation? Then we can produce a statistical profile of your employees which contains statistics on, for example, the employees' gender, descent and educational background, Submit your own subgroups, You can break up your employees in subgroups e.g. into job categories, departments or management level. Then we will deliver statistics on these groups. There must be no duplicates – i.e. the same person may not be part of two or more groups at the same time., The tables, There are a total of 6 tables, which contain the following cross tabulations:, Table 1: Staff group x origin, Table 2: Staff group x age, Table 3: Staff group x gender x origin, Table 4: Staff group x region, Table 5: Origin x education, Table 6: Origin x country of origin, Only Tables 1-4 can be delivered on selfdefined subgroups of staff. If you do not want to divide your employees or members into groups, then the tables only contain statistics for the total number of employees. You can see examples of the specific tables by clicking on the link below. Here you can also find a description of the content of the delivery., Price, The price is , DKK 14.232 excl. VAT (DKK 17.790 incl. VAT),, however, the price can increase slightly if you want to get data on your own sub groups of staff. , Therefore you might have to pay for a few hours on top of the above mentioned price., Delivery, In order to prepare the tables, we need the civil registration numbers, (CPR numbers) of the employees or members sent to us. There must be at least 20 people in the company or association in order for us to provide statistics. If you divide staff into smaller groups, the risk of statistical disclosure increases. If, for example, you want to divide into two staff groups, there must be a minimum of 20 people in each group otherwise they will be disclosed. Fewer groups will normally result in more information about staff or members. You can find a template for how to report the CPR numbers below., We usually deliver within two weeks after we have received your order and we have received the CPR numbers. You will receive the tables in Excel sheets by e-mail., Indberetningsskabelon, Important!, Do not send any CPR numbers to Statistics Denmark before you have been told how to do it. Once we have received a division of the employees or members with their CPR numbers, we check them up against the register and send a control table back to you, where the number of valid CPR numbers appears and possibly also the number of duplicates., Order, Click on "Order" below and fill in the order form., ORDER, When you order, you also accept , Statistics Denmark's general terms and conditions., Contact, DST Consulting, tel: +45 3917 3600, Bodil Birkebæk Olesen, tel: +45 3917 3746, Tailor-made statistics, If you need to combine the tables with other variables or have them combined in a different way than in our standard tables, please send an e-mail to our consultants in Customer Centre. , Read more about  , tailor-made solutions, Other relevant products, Key figures on Postcodes, Key figures on Parishes

    https://www.dst.dk/en/TilSalg/produkter/noegletal/medarbejderprofil

    Ghana 2024-2026

    Statistics Denmark is implementing the second phase of a Strategic Sector Program in Ghana financed by the Danish Ministry of Foreign Affairs. Our partner is the Ghana Statistical Services, which is the main producer of official statistics in Ghana., About Denmark’s Strategic Sector Cooperation,  (on the homepage of the Ministry of Foreign Affairs), Long-term ambitions, In the longer run, the second phase of collaboration between Statistics Denmark and Ghana Statistical Services aims to establish and secure the preconditions for a sustainable national statistical system based on digital collection, processing and dissemination of administrative and to a lesser degree survey data. The statistical products will then be able to support the decision making for the development of the Ghanaian society in general and the just green transition in particular., The second phase naturally builds on the results achieved in the first phase. During the first phase, opportunities of working with administrative microdata have been explored especially in relation to the new Ghana card (a personal identity card similar to the Danish Sygesikringsbevis) and pilots with the National Identification Authority, the Ministry of Education, and the Ghana Education Service have been commenced. In general, collaborations with the National Statistical System have been sought including a technical delegation to Denmark from the Birth and Death Registry. Another focus of phase I has been digitalization; A High level delegation from the Vice President of Ghana’s technical team to Denmark was conducted for a digitalisation fact finding mission; Following the 2021 Population and Housing Census, a Statsbank was c, ompleted and launched; and t, he Data Science Team and other relevant staff at GSS have increased their capacities in R. Finally, experts from Statistics Denmark have supported the completion of Green Goods & Services Questionnaire for Business survey. , T, he aim in phase II is to build on these results by continue exploring opportunities for administrative data, seeking collaboration and synergy with the rest of the National Statistical System, working for a digitalization agenda and finally supporting the production of environmental accounts and thus supporting the green transition in Ghana., You can read more about phase I and find videos about the project here, Strategic outcomes, The project has three strategic outcomes:, Improved statistical frameworks and systems supporting a just green transition in Ghana through strengthening of NSO capacities to work with adequately and appropriately disaggregated survey and administrative data for statistics, for digitalization processes and for communication., Ghana Statistical Services has strengthened its role as trusted data providers, their capacities to cooperate and access relevant sector data, and their provision of relevant and in-demand statistics to government, private institutions and the general public relevant to a just green transition., Accelerated required decisions on viable data-solutions for the data ecosystem including but not limited to those of relevance to a just green transition enabled by Ghana Statistical Services through exposition to Danish data-solution companies and the Danish Public Private Partnership data-ecosystem of statistics., Areas of collaboration, Improving Ghana Statistical Services and the rest of the National Statistical System’s capacities will be done by securing data flows, improving R and Python skills, digitalizing prioritized statistical processes, continued work on IT and data security issues, strengthening communication and dissemination skilss, and providing technical support to the further development of the implementation of The System of Environmental Economic Accounting (SEEA)., Besides, bilateral relations and green diplomacy in support of Ghana Statistical Services’ role in delivering statistics relevant to the green transition will be enhanced through high-level meetings, conferences and study visits., Below you can find videos about the project in Ghana:, Video on access to water - short version approx. 3 minutes, Video on access to water - approx. 6.30 minutes, Video on a hackaton in Ghana - approx. 5.30 minutes,  , Video on the Data Science Team - 3:30 minutes

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

    Morocco 2024-2026

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

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

    Documentation of statistics: Industry investment survey (Discontinued)

    Contact info, Short Term Statistics , Bo Eriksen , +45 61 50 41 27 , BHE@dst.dk , Get documentation of statistics as pdf, Industry Investment Survey 2021 Month 04 , Previous versions, Industry Investment Survey 2020 Month 04, Industry Investment Survey 2018 Month 11, Industry Investment Survey 2018 Month 03, Industry Investment Survey 2017 Month 11, Industry Investment Survey 2017 Month 04, Industry Investment Survey 2016 Month 11, Industry Investment Survey 2016 Month 04, Industry Investment Survey 2015 Month 03, Industry Investment Survey 2015, Industry Investment Survey 2014 Month 03, The purpose of Investment Survey in Manufacturing industries is to provide an estimate of the expected future investments in manufacturing industries. The survey can be characterized as a tendency survey since the managements in the participating enterprises are asked to give an estimate on the annual investments in current prices. The survey has been carried through since 1982 according to demands from the EC., From 2021, the statistics have been entered under , Investment survey for manufacturing industry, and the content of this documentation deals with the archived statistical bank tables ., Statistical presentation, The investment survey in manufacturing industries is a tendency survey in which the expectations regarding the annual change in industrial investments are summarized twice a year (March and October). The survey gives information on expected investments in the current year and the forthcoming year and the results are presented as percentage changes., Read more about statistical presentation, Statistical processing, Not relevant for these statistics., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, No overall accuracy has been calculated. Is has been observed a tendency that 2nd and 3rd measurement of a survey-year shows higher growth rates as compared to 1st and 4th measurement. The reason for this seems to be measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, The half-yearly survey is launched by means of questionnaires about 20 days before the survey month beginning. Deadline for responses is about the 12th in the survey month. Two weeks after, about the 26th, a reminder is send to the remaining admitting a new deadline about the 4th the month after the reference month. About the 15th the statistics is enumerated. About the 22nd results are published and send to the EU-partner DG ECFIN. The process runs punctual., Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since 1982. Please refer to , (DG ECFIN), ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ., Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Industriens investeringsforventninger, and in English at the homepage , Short term trends, . , Detailed data is available in English version at , Statbank, ; choose English language and look for the tables INVEST1 & INVEST2., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/industry-investment-survey--discontinued-

    Documentation of statistics

    Documentation of statistics: Industry Survey (Discontinued)

    Contact info, Short Term Statistics , Get documentation of statistics as pdf, Industry Survey 2021 , Previous versions, Industry Survey 2020, Industry Survey 2019, Industry Survey 2018, Industry Survey 2017, Industry Survey 2016, Industry Survey 2015, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the manufacturing industries. The survey was established in 4th quarter of 1963 and is directly connected to and defined by the Business and Consumer Survey joint harmonized program as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. , Statistical presentation, The Tendency survey for manufacturing industries is a qualitative assessment on past three month's developments and next three month's expected developments . The survey assesses developments within production, employment, stock of orders, stock of finished products, capacity utilization, investment plans, limits to production, and others. As of October 2021 the investment plans of the industry has been included in the tendency survey., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 500 manufacturing enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative assessment of changes in net sales, employment, inventories, orders, etc.. The collected data are enumerated from the sample to the total enumeration population (similar to Frame or Survey Population) weighted by employment data, and distributed at industry and enterprise size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The results are reflected upon every month in financial and business related news medias. , Read more about relevance, Accuracy and reliability, Sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. Non-sampling error occurs in connection to non-responses and drop out of the sample. Especially big companies' non-responses a certain month may influence the development from month to month. Finally, there is measurement error connected to the statistics associated with the respondents level of information and knowledge about the company's current state. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published last but one working day before the end of the survey month (expect from the December survey published in the beginning of January). The process runs punctual. In April and October the semiannual figures for investment plans are published. , Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since October 1963. Historical data for Denmark and other European countries is available at the homepage of , (DG ECFIN), . Historically and geographically comparable analyses are possible to carry out based on this data from the EU-Commission's Business and Consumer Survey Programme., As of October 2021 the investment plans for the industry is included in the tendency survey and a backcast of the previous figures have been made., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Industri, and in English at the homepage , Short term trends, . Detailed data is available in English version at , Statbank, ; choose English language and look for the tables BARO1-BARO8. Read , here, about the statistics. Moreover an analysis of the Business Cycle of the industry - Business Cycle Tracer - is published monthly , here, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/industry-survey--discontinued-

    Documentation of statistics

    Classification on education (DISCED-15), completed educations, v1:2017

    Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2017 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2017 , Valid to: , January 31, 2018 , Office: , Population and education , Contact: , NHD , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=cef7561c-db22-415a-8378-f9af0b2baef7