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    Classification on education (DISCED-15), current educations, v1:2019

    Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2019 , 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, 2019 , Valid to: , January 31, 2020 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=f15f4d9c-10ba-451b-8eb2-bd6e4956aa9d

    Documentation of statistics: Electricity and natural gas prices

    Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , hhu@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

    Classification of education (DDU), completed educations, v1:2026

    Name: , DDU_AUDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , February 1, 2026 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, January 31, 2026

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd

    Documentation of statistics: Household Budget Survey

    Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2024 , Previous versions, Household Budget Survey 2023, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The Household Budget Survey is a sample survey in which approximately 2,600 households are selected from Denmark’s total of around 2.9 million private households. From 2024, data will be collected annually from about 1,300 households, and the sample for a given year’s survey is based on data collected over a two‑year period., The survey includes information from three data sources: accounts, interviews, and administrative registers., All consumption expenditures, incomes, etc. are adjusted to correspond as closely as possible to the price and volume level of the final year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, Only 8 percent of the contacted households chose to participate in the Household Budget Survey. This creates uncertainty, particularly for detailed consumption groups. For total consumption, this results in a margin of uncertainty of ±1.4 percent, while for items such as bread it is 1.8 percent, and as high as 18.6 percent for a rarely purchased item such as offal. There is underreporting in several areas, such as alcohol, tobacco, prostitution, and undeclared work. Uncertainty is greater when data are based on diary entries rather than interviews, and it increases further when looking at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is carried out in accordance with the guidelines of Eurostat, the Statistical Office of the European Union. Comparable figures are published by Eurostat. From 1994 onwards, the survey methodology was revised so that the survey is now conducted annually using the same method and on a comparable basis., Data for the years 2014 to 2022 were based on a two‑year sample and the ECOICOP nomenclature. To ensure comparability over time, data from 1994 to 2013 were recalculated according to this nomenclature in both current and constant prices., From 2024, COICOP2018 has been implemented in the Household Budget Survey as a result of the survey becoming regulation‑based. Data from 2015–2022 have been recalculated in both current and constant prices according to COICOP2018 to ensure continuity., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published 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 , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

    Documentation of statistics

    Documentation of statistics: Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages

    Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , hhu@dst.dk , Get documentation of statistics as pdf, Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages 2023 , Previous versions, Documents associated with the documentation, Spørgeskema til Brændeundersøgelsen 2023 (xlsx) (in Danish only), The purpose of the study is to assess the number of wood stoves, etc., and to calculate the consumption of firewood and other biomass for heating in Danish households' homes and holiday homes. The results of the study are used, among other things, for the Danish Energy Agency's annual energy statistics and the Ministry of the Environment's assessment of emissions from wood stoves in Denmark. The study is based on a survey sent to a sample of households in Denmark. The study is conducted every two years, and reports dating back to 2009 can be found on the Danish Energy Agency's website. Statistics Denmark carried out the current study in collaboration with the Danish Energy Agency., Statistical presentation, The statistics calculate the number of homes and holiday homes that are entirely or partially heated by wood stoves, etc., and the proportion these homes represent of the total housing stock. Additionally, the total consumption of firewood, etc., corresponding to the year 2023 is calculated. The results are presented as totals and broken down by geography, primary heat sources, wood stove types, and housing types., Read more about statistical presentation, Statistical processing, The firewood survey is a sample-based survey. The interviews were collected via a web-based questionnaire, with approximately 20,000 responses most recently collected. The selected respondents are scaled to a national level using background information from population and housing statistics registers. The results are adjusted for non-responses, and data is error-checked at both micro and macro levels. During data processing, a limited number of responses are corrected due to inconsistencies or obviously incorrect answers. Household use of firewood, wood briquettes, and wood pellets is converted from physical quantities to total energy consumption based on standard values for energy content., Read more about statistical processing, Relevance, The survey was developed with support from a working group with representatives from the Danish Energy Agency and the Danish Environmental Protection Agency, who use the results for calculating energy consumption and particle emissions from wood-burning stoves. Additionally, the statistics are of interest to others concerned with energy and the environment. As the survey is new under Statistics Denmark, there is no experience yet with user satisfaction., Read more about relevance, Accuracy and reliability, There will always be errors associated with sample-based and questionnaire-based statistics. The survey framework was reviewed and quality assured before distribution, but it is rare to avoid identifying sources of error afterward. The results of the statistics are compared with previous, relevant studies on wood consumption, etc., and deviations are to be expected due to normal sampling uncertainty, minor differences in data processing, and real changes in the prevalence and consumption patterns regarding heating in private homes and holiday homes., Read more about accuracy and reliability, Timeliness and punctuality, The survey is conducted every two years, and the publication time is two months from late May to late August. It is not possible to assess punctuality as the statistics are new under Statistics Denmark., Read more about timeliness and punctuality, Comparability, The statistics replace previous versions of the Wood Survey, which, at the initiative of the Danish Energy Agency, has generally been conducted every two years, most recently in 2021., Read more about comparability, Accessibility and clarity, The plan is for the statistics to be published every other year in the StatBank under the topic , Energy Consumption, with the title , Firewood and Other Biomass for Heating, and in News from Statistics Denmark on Energy Consumption. More detailed results can also be retrieved on the statistics’ , theme page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/use-of-firewood-and-other-types-of-biomass-for-heating-purposes-in-dwellings-and-holiday-cottages

    Documentation of statistics

    Documentation of statistics: Research Libraries (Discontinued)

    Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Research libraries 2017 , Previous versions, Research Libraries 2016, Research Libraries 2015, Research Libraries 2014, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. The statistic is produced by Statistics Denmark since 2009., Statistical presentation, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from the research libraries via electronic questionnaire. Data from each research libraries are checked in relation to their reporting for the previous years. Data collection takes place at the same level of detail as what the final statistics are published on., Read more about statistical processing, Relevance, The main users are politicians, students, community organizations and the libraries themselves. There have not been performed any survey on user satisfaction for this particular statistics., Read more about relevance, Accuracy and reliability, In 2014, the response rate was 71 per cent. Some other research libraries do not report to the research library statistics. There are neither imputed nor listed for the missing values. Therefore, the values are underestimated in relation to the actual level. Data is published for the individual research libraries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 6 months after the reference year end without delay. , Read more about timeliness and punctuality, Comparability, Data is comparable from 2009 onwards. The statistics are based on the DS / ISO 2789 standard, which is the international standard for compile library statistics. The statistics are based on DS / ISO 2789 standard and is therefore comparable with other statistics for library activity., Read more about comparability, Accessibility and clarity, Publishing takes place in the following channels: Statistikken udgives i , Newsletter, . I Statistikbanken offentliggøres tallene under emnet , Forskningsbiblioteker, . Publication about culture in Danish, Kultur, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-libraries--discontinued-

    Documentation of statistics

    Documentation of statistics: Business Cycle Tracer (Discontinued)

    Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Business Cycle Tracer 2021 , Previous versions, Business Cycle Tracer 2020, Business Cycle Tracer 2019, Business Cycle Tracer 2018, Business Cycle Tracer 2017, Business Cycle Tracer 2016, Business Cycle Tracer 2015, Business Cycle Tracer 2014, Business Cycle Tracer is a graphic tool to analyze the business tendency based on confidence indicators for Manufacturing industries, Construction industry, Services and Retail trade - please refer to documentation for those statistics., Statistical presentation, The Business Cycle Tracer is plotted in a scatter graph. Y-values depict indicator level. X-values depict changes in indicator level month over month. Along the curve is traced the development month by month., The collection of data for these statistics has not been affected by COVID-19. , Read more about statistical presentation, Statistical processing, Based on Business Tendency Survey data, a composite indicator is calculated by Principal Component Analysis for each sector., 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., Read more about relevance, Accuracy and reliability, Based on , Business Tendency Survey, . Furthermore refer to method description in Danish: , Konjunkturcyklus-metode, ., Read more about accuracy and reliability, Timeliness and punctuality, Update each month the second workday., Read more about timeliness and punctuality, Comparability, Containing time series from 1998 and onwards, The method follows the method established by DG ECFIN, EU. Furthermore see the method description: , Konjunkturcyklus-metode, (in Danish)., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Business Cycles, and in an interactive graph on the subject page., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-cycle-tracer--discontinued-

    Documentation of statistics