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Documentation of statistics: Economy-wide material flow accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Economy-wide material flow accounts 2024 , Previous versions, Economy-wide material flow accounts 2023, Economy-wide material flow accounts 2022, Economy-wide material flow accounts 2021, Economy-wide material flow accounts 2020, Economy-wide material flow accounts 2019, Economy-wide material flow accounts 2018, Economy-wide material flow accounts 2017, Economy-wide material flow accounts 2016, Economy-wide material flow accounts 2014, Economy-wide material flow accounts 2013, The material flow accounts can be used to describe and understand the interaction between the country's economy and the consumption of natural resources. In the material flow accounts, the weight of the materials used in the country's economy as a whole is calculated. Additionally, the total amount of resources globally extracted to produce the goods and services used in the economy is estimated using raw material equivalents. Material flow accounts measured by weight have been compiled since 2014 and contain published data from 1993 onwards. Material flow accounts measured in raw material equivalents are available from 2008 onwards., Statistical presentation, The material flow accounts are an annual report on the weight of Danish resource extraction, as well as the import and export of goods and natural resources distributed by material types, while the raw material equivalents indicate the amount of raw materials globally used to produce the goods included in the material flow accounts. In both accounts, three derived indicators are also calculated, namely direct material input, domestic material consumption, and physical trade balance. Raw material equivalents are also calculated for imported and exported goods and services., Read more about statistical presentation, Statistical processing, The EW-MFA and the RME are compiled on the basis of internal sources on resource extraction, import and export The RME account is based on modelling. , Read more about statistical processing, Relevance, The Material Flow Accounts and raw material equivalents are relevant for anyone seeking information on the relationship between the economy and the use of natural resources. The results are pertinent for analyses of sustainable resource consumption, as domestic material consumption serves as an indicator for two of the UN's sustainability goals. The accounts are requested by ministries, agencies, consulting firms, among others. The accounts are part of the European environmental economic accounts collected by Eurostat., Read more about relevance, Accuracy and reliability, The overall Material Flow Accounts are based on a range of well-established official statistics. However, the information about the weight of different material types relies in some cases on conversion factors from other units, introducing uncertainty. Additionally, the raw material equivalents are based on a relatively new calculation method involving model calculations and a wide range of assumptions and estimates. Consequently, these figures are associated with greater uncertainty and primarily express orders of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published three years and three months after the end of the reference period. The statistics are typically published without delays compared to the planned timing., Read more about timeliness and punctuality, Comparability, The Material Flow Account follows the UN's standard for environmental economic accounts, the System of Environmental Economic Accounting (SEEA). Therefore, the account is comparable to other countries' Material Flow Accounts that adhere to the same guidelines., Read more about comparability, Accessibility and clarity, These statistics are in a Danish press release. In the StatBank, these statistics can be found under the subject , Material flows and waste accounts, . In addition the statistics has a , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Currency codes (ISO 4217), v1:2017

Please note, a more current version of this classification is now available. See the current version , here., Name: , VALUTA_ISO_V1_2017 , Description: , ISO 4217, is the International Standard for currency codes. The purpose of ISO 4217 is to define internationally recognised codes of letters and/or numbers that can be used to identify currencies, e.g. for international money transfers or exchange of currencies. This standard was first published in 1978, but many currency codes have been in use before that., The first two letters of a currency code are consistent with country codes that comply with the ISO 3166 standard. The third letter corresponds, where possible, to the initial letter of a country or territory's currency. For example, the currency code for official currency in Denmark is indicated with "DKK", where "DK" is Denmark's country code in ISO 3166 and "K" is the first letter in "Kroner"., Valid from: , January 1, 2017 , Valid to: , December 31, 2017 , Office: , Metode og Data Science , Contact: , Rohan James Draper, , rjd@dst.dk, , ph. +45 21 33 89 16 , Codes and categories, Open hierarchy, Download , CSV, DDI, AED: UAE dirham, AFN: Afghan afghani, ALL: Albanian lek, AMD: Armenian Dram, ANG: Netherlands Antillian guilder, AOA: Angolan kwanza, ARS: Argentine peso convertible, AWG: Aruban florin, AUD: Australian Dollar, AZN: Azerbaijani manat, BAM: Bosnia and Herzegovina convertible mark, BBD: Barbados Dollar, BDT: Bangladeshi taka, BGN: Bulgarian lev, BHD: Bahraini dinar, BIF: Burundi franc, BMD: Bermudian dollar, BND: Brunei dollar, BOB: Bolivian boliviano, BRL: Brazilian real, BSD: Bahamian dollar, BTN: Bhutanese ngultrum, BWP: Botswana pula, BYN: Belarussian Ruble, BZD: Belize dollar, CAD: Canadian Dollar, CDF: Congolese franc, CHF: Swiss franc, CLP: Chilean peso, CNY: Chinese yuan renminbi, COP: Colombian peso, CRC: Costa Rican colon, CUC: Cuban convertible peso, CUP: Cuban peso national, CVE: Cape Verde escudo, CZK: Czech koruna, DJF: Djibouti franc, DKK: Danish krone, DOP: Dominican peso, DZD: Algerian dinar, EGP: Egyptian pound, ERN: Eritrean nakfa, ETB: Ethiopian birr, EUR: Euro, FJD: Fiji dollar, FKP: Falkland Islands pound, GBP: Pound sterling, GEL: Georgian lari, GHS: Ghanaian cedi, GIP: Gibraltar pound, GMD: Gambian dalasi, GNF: Guinean franc, GTQ: Guatemalan quetzal, GYD: Guyana dollar, HKD: Hong Kong dollar, HNL: Honduran lempira, HRK: Croatian kuna, HTG: Haitian gourde, HUF: Hungarian forint, IDR: Indonesian rupiah, ILS: Israeli new shekel, INR: Indian rupee, IQD: Iraqi dinar, IRR: Iranian rial, ISK: Iceland krona, JMD: Jamaican dollar, JOD: Jordanian dinar, JPY: Japanese yen, KES: Kenyan shilling, KGS: Kyrgyzstani som, KHR: Cambodian riel, KMF: Comorian franc, KPW: North Korean won, KRW: South Korean won, KWD: Kuwaiti dinar, KYD: Cayman Islands dollar, KZT: Kazakhstani tenge, LAK: Lao kip, LBP: Lebanese pound, LKR: Sri Lankan rupee, LRD: Liberian dollar, LSL: Lesotho loti, LYD: Libyan dinar, MAD: Moroccan dirham, MDL: Moldovan leu, MGA: Malagasy ariary, MKD: Macedonian denar, MMK: Myanmar kyat, MNT: Mongolian tugrik, MOP: Macanese pataca, MRO: Mauritanian ouguiya, MUR: Mauritius rupee, MVR: Maldivian rufiyaa, MWK: Malawian kwacha, MXN: Mexican Peso, MYR: Malaysian ringgit, MZN: Mozambican metical, NAD: Namibian dollar, NGN: Nigerian naira, NIO: Nicaraguan cordoba oro, NOK: Norwegian krone, NPR: Nepalese rupee, NZD: New Zealand dollar, OMR: Omani rial, PAB: Panamanian balboa, PEN: Peruvian nuevo sol, PGK: Papua New Guinean kina, PHP: Philippine peso, PKR: Pakistani rupee, PLN: Polish zloty, PYG: Paraguayan guarani, QAR: Qatari rial, RON: Romanian leu, RSD: Serbian dinar, RUB: Russian ruble, RWF: Rwandan franc, SAR: Saudi riyal, SBD: Solomon Islands dollar, SCR: Seychellois rupee, SDG: Sudanese pound, SEK: Swedish krona, SGD: Singapore dollar, SHP: Saint Helena pound, SLL: Sierra Leonean leone, SOS: Somali shilling, SRD: Surinamese dollar, SSP: South Sudanese pound, STD: Sao Tome and Principe dobra, SVC: Salvadoran colón, SYP: Syrian pound, SZL: Swazi lilangeni, THB: Thai baht, TJS: Tajikistani somoni, TMT: Turkmenistani manat, TND: Tunisian dinar, TOP: Tongan pa'anga, TRY: Turkish lira, TTD: Trinidad and Tobago dollar, TWD: New Taiwan dollar, TZS: Tanzanian shilling, UAH: Ukrainian hryvnia, UGX: Ugandan shilling, USD: United States dollar, UYU: Uruguayan peso, UZS: Uzbekistan Sum, VEF: Venezuelan bolivar fuerte, VND: Vietnamese dong, VUV: Vanuatu vatu, WST: Samoan tala, XAF: Central African CFA franc BEAC, XAG: Silver, XAU: Gold, XCD: Eastern Caribbean dollar, XOF: West African CFA franc BCEAO, XPD: Palladium, XPF: CFP franc, XPT: Platinum, XTS: Currency code reserved for testing, XXX: No currency, YER: Yemeni rial, ZAR: South African rand, ZMW: Zambian kwacha, ZWL: Zimbabwe dollar, All versions, Name, Valid from, Valid to, Currency codes (ISO 4217), v1:2019, January 1, 2019, Still valid, Currency codes (ISO 4217), v1:2018, January 1, 2018, December 31, 2018, Currency codes (ISO 4217), v1:2017, January 1, 2017, December 31, 2017, Currency codes (ISO 4217), v1:2016, January 1, 2016, December 31, 2016, Currency codes (ISO 4217), v1:2015, January 1, 2015, December 31, 2015, Currency codes (ISO 4217), v1:2014, January 1, 2014, December 31, 2014

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/valuta-iso?id=b92268b4-c3eb-48b1-b6a3-1dc74fe3b09d

Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst,dk , Get documentation of statistics as pdf, Sickness benefits 2025 , Previous versions, Sickness benefits 2024, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD's service desk is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published in the tables under the subject , Sickness benefits, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sickness-benefits

Documentation of statistics

Socio-Economic Status, v1:2008

Please note, a more current version of this classification is now available. See the current version , here., Name: , SOC_STATUS_KODE_V1_2008 , Description: , This is a classification of the population's attachment to the labour market in Denmark. The classification is based on international guidelines for labor statistics, as recommended by the International Labor Organization (ILO)., Valid from: , January 1, 2008 , Valid to: , December 31, 2021 , Office: , Arbejde og Indkomst , Contact: , Pernille Stender, , psd@dst.dk, , ph. +45 24 92 12 33 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Socio-Economic Status, v2:2022, January 1, 2022, Still valid, Socio-Economic Status, v1:2008, January 1, 2008, December 31, 2021, Socio-Economic Status, v1:1996, January 1, 1996, December 31, 2007, Socio-Economic Status, v1:1994, January 1, 1994, December 31, 1995, Socio-Economic Status, v1:1980, January 1, 1980, December 31, 1993

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/socio-arb?id=2c138ddb-d188-488d-a737-bf604247168d

Documentation of statistics: Outsourcing by Danish Enterprises

These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Outsourcing by Danish Enterprises, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/outsourcing-by-danish-enterprises

Documentation of statistics

Documentation of statistics: Regional Accounts

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Regional Accounts 2024 , Previous versions, Regional Accounts 2023, Regional Accounts 2022, Regional Accounts 2021, Regional Accounts 2020, Regional Accounts 2019, Regional Accounts 2018, Regional Accounts 2017, Regional Accounts 2016, Regional Accounts 2015, Regional Accounts 2014, Regional Accounts 2013, Regional Accounts 2012, The purpose of regional accounts is to describe the economic activity in the regions and provinces within the framework of national accounts definitions and classifications. The accounts are compiled in accordance with the guidelines set out in ESA2010 and are comparable with regional accounts for other European countries. Regional accounts are published at the NUTS II level (regions) and NUTS III level (provinces). Regional accounts have been compiled since 1999., Statistical presentation, Regional accounts describe the geographical dimension of production and income conditions as these are compiled in the national accounts using the production approach. The regional allocation aims at adding production etc. to the region where production takes place. , Regional accounts contain information on GDP, gross value added, gross fixed capital formation, compensation of employees and employment. Moreover the household sector's incomes are compiled. The regional allocation of the household income is based on the residence of the households and not where the incomes are earned., Read more about statistical presentation, Statistical processing, The statistics are based on regional versions of the national accounts' sources, where this is possible. The main sources are Accounting Statistics for Non-agricultural Private Sector and General Government Finances Statistics. The sources are used either directly or as a distribution key. The regional accounts are revised in line with the publication rhythm of the national accounts. The final figures for the regional accounts are therefore not available until three years after the end of the reference period., Read more about statistical processing, Relevance, National and regional accounts are relevant for all, who deal with economic and regional matters., Read more about relevance, Accuracy and reliability, Regional accounts are subject to the same margins of uncertainty as the annual national accounts and the inaccuracy here relates to the inaccuracy of the various sources used. However, the conceptual consistency and over time uniform adaptation of the sources contribute to reduce the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases reveals errors, which are therefore not reflected in the final national accounts. With regard to the regional dimension the following factors can be mentioned:, Read more about accuracy and reliability, Timeliness and punctuality, First version of regional accounts is published 12 month after the reference year. Final regional accounts are published 3 years after the reference year. Regional accounts have a high degree of punctuality, Read more about timeliness and punctuality, Comparability, Regional accounts are consistent with the national accounts, as the sum of the figures for each region with respect to each individual variable is equal to the national accounts value for the same variables. Consequently, each variable can be interpreted in the same manner as the national accounts variables. Regional accounts are based on guidelines set out in ESA2010 and are thereby directly comparable with other regional accounts from the EU Member States. Consistent time series are available for 1993 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under , National accounts by region, . For further information, go to the , subject page, ., Regional accounts by 38 industries and 11 provinces/5 regions are available (at a charge). Furthermore regional data can be provided (at a charge) for groups of municipalities with a joint population of at least 100.000 inhabitants. In addition GDP and other non-industry data is available for municipalities with a population of at least 10.000 inhabitants., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: The Population

Contact info, Population and Education , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, The Population 2024 , Previous versions, The Population 2020, The Population 2019, The Population 2017, The Population 2016, The Population 2014, The purpose of the population statistics is to focus on the size, composition and development of the population living in Denmark. The statistics create a basis for a number of analyses on demography and society and are used as a basis for planning tasks on a national, regional and municipal level. In their basic form, the statistics have been compiled since 1769 but have undergone a series of changes as society developed and legislation followed. Most of the present table series in Statbank Denmark comprise data from 2007 and forward, while a few of these go back further., Statistical presentation, The population statistics are usually a quarterly aggregation of the population living in Denmark broken down by e.g. sex, age, ancestry, marital status and municipality of residence. In connection with COVID-19, however, the number of deceased persons was aggregated on a weekly basis broken down by date of death, age bracket and province. The population statistics show the population in figures at the reference date in terms of persons, households and families. The statistics also show changes in the population, such as births, deaths and migrations etc., in the period between the two reference dates. Similarly, the statistics contain information about fertility, life expectancy and divorce rate. , Read more about statistical presentation, Statistical processing, Data for the statistics is collected on a daily basis from the Civil Registration System (CPR) by means of a system-to-system solution. The civil registration number and the updating of residence information and marital status information etc. is required for a vast number of public services, which serves as continuous validation of the content of the register. The number of immigrants, descendants, households, families, marriages and divorces is assessed on the basis of data from the Civil Registration System. It is also used to calculate e.g. fertility rates, life expectancy and divorce rates. In addition, data is applied from the Birth Register and the Cause of Death Register from the Danish Health Data Authority from which data is collected annually., Read more about statistical processing, Relevance, These statistics are relevant for municipalities, regions, ministries, other government organisations and private companies in analyses of a number of conditions of society and as a basis for planning of e.g. schools, roads, facilities and services for the elderly etc. Statistics Denmark also uses the basic data and results of the statistics for a vast number of other assessments., Read more about relevance, Accuracy and reliability, The statistics are based on the population registered in the Civil Registration System (CPR). Since correct registration in CPR is a condition for being able to lead a normal life in Denmark, the general quality and reliability of the register is regarded as very high. Failure to report immigrations and emigrations means that the published population is considered to be overestimated by 10,000 people or 0.14 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published one and a half months after the end of the reference period. The statistics are released without delay according to the scheduled dates of publication. The weekly publication of the number of deaths is released five days after the reference week. , Read more about timeliness and punctuality, Comparability, Denmark bases its population statistics on an administrative register, which also applies for a few other countries, whereas many countries take censuses every five or ten years. The population figure for the period 1971 and onwards is based on the same source, i.e. the Civil Registration System (CPR). The population figure from before this period is based on censuses., Read more about comparability, Accessibility and clarity, The statistics are published in “Nyt fra Danmarks Statistik” (in Danish). Figures for the population and its movements are published in Statbank Denmark. In addition, the figures are included in the publications , Befolkningens udvikling, and , Indvandrere i Danmark, (both in Danish with summaries in English). For further information, go to the subject pages of the statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-population

Documentation of statistics

Category of real property, v1:1992

Please note, a more current version of this classification is now available. See the current version , here., Name: , EJKAT_V1_1992 , Description: , Description only in Danish., Valid from: , January 1, 1992 , Valid to: , December 31, 2010 , Office: , Priser og Forbrug , Contact: , Jakob Holmgaard, , jho@dst.dk, , ph. +45 24 87 64 56 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Category of real property, v2:2011, January 1, 2011, Still valid, Category of real property, v1:1992, January 1, 1992, December 31, 2010

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ejkat?id=e14d0d24-dbbc-42b6-b1ef-a87a03be0447

Documentation of statistics: Register-Based Labour Force Statistics

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Register-Based Labour Force Statistics 2024 , Previous versions, Register-Based Labour Force Statistics 2023, Register-Based Labour Force Statistics 2022, Register-Based Labour Force Statistics 2021, Register-Based Labour Force Statistics 2020, Register-Based Labour Force Statistics 2019, Register-Based Labour Force Statistics 2018, Register-Based Labour Force Statistics 2017, Register-Based Labour Force Statistics 2016, Register-Based Labour Force Statistics 2015, Register-Based Labour Force Statistics 2014, The purpose of the Register-Based Labour Force Statistics (RAS) is to measure the population’s primary attachment to the labour market. This attachment is recorded at the end of November and compiled once a year. The first RAS compilation was made at the end of November 1980., Statistical presentation, RAS is an annual, individual-based compilation that records the population’s attachment to the labour market on the last working day of November. The population’s attachment is divided into three main socio-economic groups: employed, unemployed, and persons outside the labour force. The statistics can be broken down by demographic variables and education, as well as by industry, sector, and municipality of the workplace for employed persons. The data are published in News from Statistics Denmark and in the Statistics Denmark StatBank, and detailed micro-data are made available through Statistics Denmark’s Research Service., Read more about statistical presentation, Statistical processing, The register-based labor force statistics (RAS) are based on the Labor Market Account (AMR_UN), which is a longitudinal register. When RAS is compiled, a status assessment (in relation to the population's primary attachment to the labor market) is carried out on the last working day of November in the AMR. Based on AMR_UN, it is also possible to perform status assessments on arbitrary days throughout the year., Read more about statistical processing, Relevance, The register based labour force statistic (RAS) is primarily been used to structural analysis of the labour market, because the statistic has a very detailed level of information. Many external as well as internal users are using the statistic., Read more about relevance, Accuracy and reliability, RAS is a register-based compilation that uses many data sources to measure the population's affiliation to the labor market. This means that RAS does not have the same uncertainty as statistics based on samples. RAS consists of a wide range of data sources, which are integrated, checked for errors, and harmonized, making it possible to provide a better picture of the population's connection to the labor market than the individual statistics can., Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The first version of the RAS statistics includes the population resident in Denmark as of the 1 January 1981 and its attachment to the labour market at the end of November 1980. The statistic has been compiled once every year since. New and better data foundations and changes in the labour market have however caused a number of data breaks over time, which have influence on the possibility of comparing data over time. Since RAS is based on administrative registers with national distinctive marks, it is very difficult to compare the statistic in an international level. , Read more about comparability, Accessibility and clarity, The statistics is published in Statbank Denmark: , Labour market status (RAS), and , Employed persons (RAS), . , For further information go to the subject pages , Labour market status (RAS), and , Employed persons (RAS), ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/register-based-labour-force-statistics

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_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: , 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=10bd06b8-5633-4790-a32e-4edbcf5f91da