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Advancing Environmental Statistics in Ghana

Ghana Statistical Service (GSS) together with the Environmental Protection Agency (EPA) is working hard on establishing green national accounts., 19 August 2024 15:00 ,  , The development of robust statistics on environmental goods and services is crucial for understanding the economic contribution of initiatives focused on environmental protection and resource management. These statistics, which form part of the broader system of environmental-economic accounting- often referred to as "green national accounts" - offer valuable insights into the economic activities related to green goods and services. As countries worldwide prioritize sustainability, the ability to measure and report on these areas becomes increasingly important., In July, Ghana made significant progress in this area. Two experts from Statistics Denmark visited Accra to collaborate with representatives from the Environmental Protection Agency (EPA) and Ghana Statistical Services (GSS). Their mission was to develop a strategy for data collection and design effective questionnaires. This visit followed a previous mission that introduced key concepts related to environmental statistics, fostered understanding within the local context, and discussed potential implementation strategies., During the same week, the Executive Director of Ghana's EPA met with the experts from Statistics Denmark to discuss the implementation of the System of Environmental Economic Accounting (SEEA) in Ghana. The meeting underscored the critical role of collaboration between the EPA and Ghana Statistical Services (GSS) in advancing sustainable development. Over the coming years, GSS and EPA, with the support of Statistics Denmark, will focus on Water and Waste accounts to drive informed decision-making and promote a more sustainable future for Ghana., The second mission from Statistics Denmark yielded notable progress. Among the key outcomes was an enhanced understanding of the revised Classification of Environmental Purposes (CEP) among the Ghanaian partners. This classification is essential for accurately categorizing and measuring environmental expenditures. The partners also agreed to combine data collection efforts with the existing Business Survey (IBES 2). This approach is expected to streamline the process and ensure more comprehensive data collection., A critical aspect of the mission involved discussions on how to structure the questionnaire, which will be a primary tool in gathering the necessary data. These discussions culminated in an agreement on an ambitious action plan, with a target date set for publishing the statistics on green goods and services by the end of January 2026., This collaboration between Ghana and international experts from Statistics Denmark is part of the  Strategic Sector Cooperation scheme financed by the Danish Ministry of Foreign Affairs. The collaboration represents a significant stride toward developing a reliable and comprehensive framework for environmental-economic accounting in the country. As Ghana continues to integrate these practices, the resulting data will be invaluable for shaping policies and strategies that support sustainable development and environmental stewardship.,  , You can read more about our different projects under the Strategic Sector Cooperation scheme here: ,  , Ghana, Morocco, Vietnam

https://www.dst.dk/en/consulting/news-from-international-consulting/2024/19-08-2024-Advancing-Environmental-Statistics-in-Ghana

Asymmetries in statistics on International Trade in Goods

Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia., 19 October 2021 14:00 ,  , Trustworthy, consistent and comparable figures about the level and the development of international trade in goods are extremely important for both economically and political reasons. When Georgia entered into the Free Trade Area with the EU in 2014, it was expected to have a positive influence on the trade between EU and Georgia. It has been more than difficult to get a consistent picture of the trade between the two areas because of the huge differences (asymmetries) in statistics on trade in goods published by Eurostat and Geostat (National Statistics Office of Georgia) respectively. The differences have been both concerning the level and – even more worrying – also the trend in trade. , A fruitful and intensive 2-year cooperation between Geostat and Danish experts from Statistics Denmark in the frame of the Twinning project , Strengthening the Capacity of the Georgian Statistical System, has now resulted in a comprehensive report describing the nature, reasons and possible solutions to these asymmetries. The report is an important input to understanding asymmetries and how to handle them in the future “, Link, ”.  , Georgia’s geographical location on the shore of the Black Sea means that many goods traded between countries in Europe and mainly Armenia and Azerbaijan are transiting through Georgia. The European traders/custom are in many cases not aware that the specific imported/exported good is only transiting in Georgia and is therefore incorrectly reporting the good as being imported/exported from/to Georgia. Incorrect reporting of goods that are only transiting through Georgia are by far the major reason for the asymmetries according to the report prepared by the project, which has analysed in depths the methodology applied to trade in goods statistics in Georgia, the concepts applied and the practical data collection.  , The analysis thereby also implies that the Georgian data in the cases where goods are transiting in Georgia, are more likely to be correct than Eurostat’s data as the asymmetry appears due to incorrect declaration of country of origin (when EU is importing) and country of final destination (when goods are exported from the EU). In many of these cases, the hypothesis was supported by mirror analysis carried out on data from Azerbaijan, Armenia and Turkmenistan, which showed similar asymmetries in trade data with the EU. , Asymmetries might be caused by methodological reasons, as well as by data errors. A thorough review of the compilation of international trade in goods in Geostat has revealed a sound methodology applied in Geostat’s compilation of International Trade Statistics and great awareness of international standards. The analysis also indicates that there might be a few issues concerning the so-called trade system, volatile currency, high exemption threshold for export, imputation of missing import of cars and misclassifications of commodities, all of which are more or less out of the hands of Geostat, and more importantly, are minor issues in the big asymmetry picture. , Data errors are by far the biggest problem detected. A good understanding and overview of the nature and major sources of the data errors were obtained from structured in depths microlevel analysis involving a lot of correspondence with colleagues from 6 different EU National Statistical Offices and to some extent local importers/exporters. A lot of hard work remains to reduce the asymmetries in the future, requiring most of all careful training of individual data reporters concerning the importance of indicating the correct country of origin/country of final destination.

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/19-10-2021-asymmetries-in-statistics-on-international-trade-in-goods

Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2019 , Previous versions, Quarterly Labour Force 2018, The purpose of KAS is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, KAS is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market quarter. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an averaging of the population's primary attachment to the labour market divided on quarters. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is a register based average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. That first of all means that KAS doesn't contain the same uncertainties as statistics based on surveys. Second of all the data foundation for KAS provides a better opportunity to illuminate the labour market than before. KAS consists of a series of data sources which are integrated, corrected, and harmonized, and can therefore illuminate the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published approximately 16 months after the reference point in time. RAS is typically published at the scheduled date without delay, and is planned more than a year ahead. , Read more about timeliness and punctuality, Comparability, The statistic is first published in 2018 with data on 1.-4. quarter 2008-2016. Expect from data break in the classification of occupation in 2010 the statistic is comparable in the hole period 2008-2016. From 2019 and on the data foundation is slightly revised, and therefore there is a smaller data break regarding the employed population. Since 2019 the statistic besides from employed persons also includes the rest of the population in Denmark with information about their primary labour market attachment in the 1st.-4.th. quarter 2017. KAS is based on administrative registers with national character which makes it difficult to compare the statistic internationally., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly Labor force Statistics, employment, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

Documentation of statistics

Documentation of statistics: Upper-Secondary Education

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, Upper-Secondary Education 2024 , Previous versions, Upper-Secondary Education 2023, Upper-Secondary Education 2022, Upper-Secondary Education 2021, Upper-Secondary Education 2020, Upper-Secondary Education 2019, Upper-Secondary Education 2018, These statistics cover the activity in upper secondary education in Denmark. Upper secondary education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 20 or 35. Upper secondary educations are typically 2-3 years in duration. Upper secondary education statistics are in their current form comparable since 2005 and are part of the overall Student Register, which contains information about all students in ordinary education in Denmark., Statistical presentation, These statistics contain figures about the enrollment and completion in upper-secondary education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin. , Read more about statistical presentation, Statistical processing, The data for these statistics are received yearly in November/December from The Ministry of Children and Education. This means that the data received by Statistics Denmark have already been corrected for errors. In addition, a thorough error searching and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level. The Ministry of Children and Education are involved in cases of substantial corrections., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The data of the statistics are used as background data for most of the personal statistics at Statistics Denmark, and are the basis for several tables in StatBank Denmark about education., Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students as well as for the payment of various financial grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The Ministry of Children and Education conduct error detection of data and the quality of the received data is high. Errors do occur but they are in most cases corrected the following year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 4 months after the reference time, which is 1 October. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The current version of these statistics go back to 2005. However, statistics pertaining to upper secondary education in Denmark have been produced prior to 2005. The statistics are internationally comparable as upper secondary education is defined in similar ways internationally., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper-secondary education, . For further information, see the homepage of the , statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/upper-secondary-education

Documentation of statistics

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: Zoological gardens

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Zoological gardens 2024 , Previous versions, Zoological gardens 2023, Zoological gardens 2022, Zoological gardens 2021, Zoological and Botanical Gardens 2017, Zoological and Botanical Gardens 2015, Zoological and Botanical Gardens 2014, Zoological and Botanical Gardens 2013, The purpose of the statistics is to describe the yearly opening hours and the number of visitors to Zoos, Aquariums and Botanical gardens. The statistics has been compiled since 1985. From 2021 there are only zoos and aquariums included in the statistics, Statistical presentation, The statistics is made on a yearly basis and shows the number of zoological facilities, visitors, yearly opening hours, number of informative or educational events as well as participants, invitational events and participants, number of volunteers and hours worked by volunteers, and total admission revenue for zoos and aquariums. , Read more about statistical presentation, Statistical processing, The statistic is annually. The data is collected through electronic questionnaires. The collected data is validated by comparing this years numbers with the former numbers. If a zoo have large fluctuations in the number of visitors from one year to the next, Statistics Denmark contact the facility to get a clarification. Data is aggregated and if some zoo's haven't answered the questionnaire data from last year gets imported. , Read more about statistical processing, Relevance, The users are primarily the Ministry of Cultural Affairs, The Danish Agency for Culture and Palaces and organizations engaged in activities within in the field of zoos aquariums and botanical gardens and the news media., The user satisfaction is not measured., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of (in principle) all zoos, aquariums and botanical gardens, but some non state-subsidized zoo do not answer the questionnaires. There will be the a low number of visitors for non state-subsidized zoo or gardens. State-subsidized zoo or gardens have a good coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually approx. 5 months after the reference period., Read more about timeliness and punctuality, Comparability, Data over time can be compared for state-supported zoos from 1984 until today, while for non-state-supported gardens and facilities there is a small data breach in 2010 and 2016. For zoos and aquariums with other state subsidies and those that are not subsidized by the state, there can be a variation in e.g. visitor numbers, etc., which is due to composition effects. That is it is not necessarily the same or the same number of zoos and aquariums that are included in the population or report to the statistics each year. Therefore, comparisons over time for zoos with other state subsidies and state subsidies should be made with caution., Read more about comparability, Accessibility and clarity, The statistics are published in Nyt fra Danmarks Statistik (News from Statistics Denmark), in http://www.statbank.dk and on the , subject side on DST, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/zoological-gardens

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2024

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2024 , 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, 2024 , Valid to: , January 31, 2025 , Office: , Population and Education , 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 (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, 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=eb9c3f6c-5798-43e5-8551-45b897f9777a

Classification of education (DISCED-15), completed educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2023 , 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, 2023 , Valid to: , January 31, 2024 , Office: , Population and Education , 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 (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, 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=c517e8f3-114e-4295-b912-baa26e6727b5

Classification of education (DISCED-15), completed educations, v1:2021

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2021 , 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, 2021 , Valid to: , January 31, 2022 , Office: , Population and Education , Contact: , NKL , 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, v1:2025, February 1, 2025, Still valid, 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=08e4b489-5d3c-4552-9a12-d2dd6dc0744d

Classification of education (DISCED-15), completed educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2020 , 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, 2020 , Valid to: , January 31, 2021 , Office: , Population and Education , Contact: , Nare Hakhverdyan, , nhd@dst.dk, , ph. +45 23 72 80 07 , 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, v1:2025, February 1, 2025, Still valid, 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=bc145b5a-c843-473c-ada8-fee6be0fa77a