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Documentation of statistics: Social protection expenditure

Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Social protection expenditure 2024 , Previous versions , Social protection expenditure 2023, Social protection expenditure 2022, Social protection expenditure 2021, Social protection expenditure 2020, Social protection expenditure 2018, Social protection expenditure 2017, Social protection expenditure 2016, Social protection expenditure 2015, Social protection expenditure 2014, Social protection expenditure 2013, The purpose of the Social Expenditure Statistics is to illuminate expenditure connected to social protection targeting individuals and households. Social protection encompasses a society’s interventions intended to relieve individuals and households of the financial burden of a defined set of risks or needs, e.g. illness. The statistics provide an overview of the development in expenditures related to social protection in Denmark and can be used to compare the level of social protection internationally. The statistics have been compiled since 2007 and are based on a European statistics system., Statistical presentation, The statistics are an annual statement of expenditures on benefits connected to social protection assessed in DKK million. Social benefits are benefits intended to relieve households and individuals of the financial burden of a defined set of risks or needs, e.g. illness or unemployment. The statement includes both cash benefits and benefits in kind (e.g. free health care services). The statistics are divided into eight main areas and includes the whole of Denmark as well as some Danish pensioners abroad. The benefits include both public and private expenses., Read more about statistical presentation, Statistical processing, The data for this statistic is collected yearly via the main sources: central and local accounts. It is supplemented with internal data deliveries from insurance- and pensions subsectors, application matrixes, hours and days of absence from work, and an external data delivery on tax rates used for enumerating the statistic from the Ministry of Finance., The collected data is validated via removal of potential errors, coding, and treatment processes leading to the final result, which, amongst other things, demands reviews and quality assurance of codes, expenditures and developments over time., Read more about statistical processing, Relevance, Data on social expenditure is in big demand from international organizations, e.g. from Eurostat and Directorate-General for Employment, Social Affairs and Inclusion (DG EMPL)., Read more about relevance, Accuracy and reliability, This statistic is based on the statistic for General Government Finances, and is relevant for users interested in expenditures connected to social protection (expenditures linked to education are excluded from this statistic)., The statistic is published on a yearly basis and is revised two years back in time in every production, which ensures consistency and transparency in the data., In regards to possible uncertainties, the level of the total social expenditures to be slightly underestimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually, approximately 10 months after the end of the calendar year. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistic is comparable from 2007 and onwards. It is comparable to the statistic for General Government Finances, which follows the principles of National Accounts., The statistic is regulated by order by the EU and is also published by Eurostat via the , ESSPROS, -system (European System of Integrated Social PROtection Statistics), albeit in slightly different categories than those presented in the Danish Stat bank. This makes the statistic internationally comparable with statistics in other countries reporting to the ESSPROS system in Eurostat., Read more about comparability, Accessibility and clarity, The statistic is published annually in the form of two statistics tables in the , Statbank, and a Danish news release in , Nyt fra Danmarks Statistik, . , In addition, internationally comparable figures for this statistic are available in the Social protection expenditures available on , Eurostat's website, . , More information is available on the page of Social Expenditures at , Statistics Denmark’s website, , as well as on the , site on classifications, , where e.g. codes, categories and manuals in for the statistic are accessible., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-protection-expenditure

Documentation of statistics

Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions , Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (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 per year 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, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. 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 average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , 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 an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single 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 statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Parental leave benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Parental leave benefits 2025 , Previous versions , Parental leave benefits 2024, Parental leave benefits 2023, Parental leave benefits 2022, Parental leave benefits 2021, Parental leave benefits 2020, Benefits in connection with childbirth 2019, Documents associated with the documentation , Genudgivelse af barselsdagpengedata for fødselsårgange 2017-2023 (pdf) (in Danish only), The statistics Parental leave benefits in connection with childbirth shed light on the use of the Maternity Act, including equality between mothers and fathers. The statistics have been compiled since 1995, but in 2017 changed data source. Since 2017, data from ATP / Udbetaling Danmark's IT system for the administration of payment of parental benefits in connection with birth, adoption, child illness etc., Statistical presentation, Childbirth allowance annually calculate a parent's year's use of the rights the Maternity Act gives them, and the distribution of parental leave between the father and mother, as well as the number of persons, and days on benefits. Furthermore, the statistics provide the data basis for calculating amounts paid out in connection with childbirth. , Read more about statistical presentation, Statistical processing, The data basis of the statistics is based on monthly total extractions from central tables in the database for ATP/Udbetaling Danmark's administrative IT system, UDK-Barsel, and a delta extraction from a payment table, which is very large. Selected variables from these extractions are merged into a single table that constitutes a longitudinal register, the Barselsdagpenge Register, with a well-defined record structure, which is created quarterly. The Barselsstatistik Register is formed annually by combining the Barselsdagpenge Register with an extract from the Population Register and other Danish Statistics registers., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining agreements. The statistics are included as an important data element concerning analyzes of the productivity of the Danish workforce (economic model calculations), the labor market accounts, the statistics statistics on Public dependents and the absence statistics, Read more about relevance, Accuracy and reliability, The statistics summarize the reports of birth or adoption that have triggered the payment of due to maternity leave. The expectation is that all cases are reported. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated. In order to get a picture of a parent's year's use of the maternity law, it has been necessary to link several registers and set up an algorithm for calculating the parents' entitlement. There is a risk of programming errors here, just as the algorithm rules are a choice., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually three months after the reference year in March-April. March-April is chosen as the compromise of current interest and waiting for the last reports of the year to appear. , Read more about timeliness and punctuality, Comparability, The statistics are influenced by local Danish legislation, which makes comparison with similar statistics from other countries difficult. In addition, maternity leave can be calculated in (at least) 18 different ways, which is why it requires a good knowledge of the documentation for countries' calculation methods before comparing their figures. At the moment, the statistics cover data for the years 2015-2023, where no data breach has been detected, with the exception that the 1st quarter of 2015 is under-updated, which gives a minor data breach for total counts., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Parental leave benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Purchases and sales by enterprises

Contact info, Short Term Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Purchases and sales by enterprises 2024 , Previous versions , Purchases and sales by enterprises 2020, Purchases and sales by enterprises 2019, The purpose of the statistics Purchases and sales by enterprises is to monitor business cycles in Denmark, based on sales of enterprises. The statistics is based on information on value added tax (VAT) reported by the enterprises to the Danish Tax Authorities. , The statistics is compiled and disseminated monthly and provides a short-term status of Danish business economy. The statistics have been published with variation in calculation methods and frequencies, since value added tax (VAT) was introduces in Denmark in 1967. In its current form, the statistics is comparable from 2011 onwards., Statistical presentation, Purchases and sales by enterprises is a monthly statement of purchases and sales of goods and services. The Statement is calculated in millions (Danish kroner). The statement is calculated at industry level defined in the Danish Industrial Classification of All Economic Activities 2007 (DB07). In addition, the statistics are divided into domestic purchases and sales. , Read more about statistical presentation, Statistical processing, Data originates from the Danish Tax Agency’s VAT registers plus information from the Central Business Register (CVR). Missing reports are replaced with imputed values, which are values estimated for each missing report. Imputed values are provisional and removed when the enterprise has reported VAT to the Tax Agency or the enterprise's business status in the CVR register is updated as inactive. The report follows the enterprise's main industry. , Read more about statistical processing, Relevance, Users of the statistics are ministries, researchers, students and organizations. Used for e.g. analysis of business trends and market research. In Statistics Denmark, the statistic provides supporting information to e.g. the National Accounts and statistics on foreign trade. Data contribute to the Danish compliance with requirements in the European business statistics regulation regarding turnover on industries on service and trade. In order to comply with requirements, monthly turnover must be distributed to Kind of Activity Units (KAU). A model is used to split legal units into KAU. , Read more about relevance, Accuracy and reliability, The statistics is based on VAT, reported by enterprises to the Tax Agency. The precision is strengthened by the fact that all companies subject to VAT are included. It is weakened by too little information sales not subject to VAT, e.g. train tickets and recycled clothes. The reliability increases as the enterprises report and revise values. It's possible to revise up to three years after submission. Values are considered final after three years. The sales are used as an estimate for turnover. Please notes that turnover includes more than sales, e.g. revenue from investments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximate 40 days after the end of the reference period. The statistics contain a statement of sales that are subject to VAT. A statement of an enterprise's sales subject to VAT can be used as an estimate of the enterprise's turnover, which is why the statistics are used for short-term statistics on turnover. The publication date is announced at least 6 months in advance, and it is rare that a publication of the statistics is delayed. , Read more about timeliness and punctuality, Comparability, From 2010, the statistics are based on register data, the information on VAT that enterprise report to the Tax Agency. From the year 2010, data is comparable year to year, as it includes all enterprises that report VAT. The variable "salg i alt" can be used as estimate for the enterprises' net turnover and can be compared with the net turnover in other statistics, e.g. General Enterprise Statistics. When comparing, take into account the differences, for example which types of sales or revenue are included, whether excise duties are included, and whether smaller companies are included. , Read more about comparability, Accessibility and clarity, The statistics are published on the webpage , StatBank Denmark, under the topic Purchases and sales by Enterprises. Until December 2023, the statistics was published monthly in a Danish newsletter called NYT. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchases-and-sales-by-enterprises

Documentation of statistics

Documentation of statistics: Budgets and accounts of municipalities and regions

Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 40 22 58 23 , JFJ@dst.dk , Get documentation of statistics as pdf, Budgets and accounts of municipalities and regions 2026 , Previous versions , Budgets and accounts of municipalities and regions 2025, Budgets and accounts of municipalities and regions 2024, Budgets and accounts of municipalities and regions 2023, Budgets and accounts of municipalities and regions 2022, Budgets and accounts of municipalities and regions 2021, Budgets and accounts of municipalities and regions 2020, Budgets and accounts of municipalities and regions 2019, Budgets and accounts of municipalities and regions 2018, Budgets and accounts of municipalities and regions 2017, The budgets and the accounts of municipalities and regions inform for the economic situation in municipalities and regions. The statistics show how the funds of the municipalities and regions have been used, how they are budgeted and a status of the economic situation. The tables goes back to 2007, where the latest municipal reform came into force., Statistical presentation, The statistics include the budgets and final annual accounts as well as the balances of the municipalities and regions., Read more about statistical presentation, Statistical processing, Data is delivered annually from the financial management systems of the municipalities and regions. Extensive validation is performed on a micro level through error detection rules based on the official accounting system. , Read more about statistical processing, Relevance, In general, the statistics on budgets and the accounts for municipalities and region are used for three purposes. Firstly, as input data to the national accounts for government expenditure and revenue and other statistics in Statistics Denmark. Secondly, as planning tool by the Government, i.e. in the yearly economic agreements between the central Government and the municipalities and regions. Thirdly, as source in social science and the public and political debate., Read more about relevance, Accuracy and reliability, The statistics have great precision as the municipalities and regions report all the information and no calculations of values are made. In addition, revisions of the published figures are only made in certain circumstances. The figures should be interpreted with caution due to varying accounting methods across municipalities as well as over time., Read more about accuracy and reliability, Timeliness and punctuality, The budgets are published in mid-January, the final accounts and the balances are published in the latter half of April. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, The comparability are affected by the varying accounting methods across municipalities/regions as well as over time. Also, adjustments are made continuously to the accounting systems. Furthermore there is a break en data in 2007., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics are published under , budgets and accounts for municipalities, and , budgets and accounts for regions, . See also the subject pages for , budgets and accounts for municipalities, and , budgets and accounts for regions, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/budgets-and-accounts-of-municipalities-and-regions

Documentation of statistics

Violations of the penalcode, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , OVERTRAEDTYPE_V1_2020 , Description: , This is an overview of the types of violations that occur in the StatBank and what they contain at a more detailed level. The classification by Statistics Denmark differs from the classification of the Danish National Police. Both Statistics Denmark's crime statistics and the statistics of the Danish National Police, however, are made on the basis of the same data., Valid from: , January 1, 1980 , Valid to: , December 31, 2020 , Office: , Social og Sundhed , Contact: , Iben Birgitte Pedersen, , ipe@dst.dk, , ph. +45 23 60 37 11 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Violations of the penalcode, v1:2024, January 1, 1980, December 31, 2025, Violations of the penalcode, v1:2023, January 1, 1980, December 31, 2023, Violations of the penalcode, v1:2022, January 1, 1980, December 31, 2022, Violations of the penalcode, v1:2021, January 1, 1980, December 31, 2021, Violations of the penalcode, v1:2020, January 1, 1980, December 31, 2020, Violations of the penalcode, v1:2019, January 1, 1980, December 31, 2019, Violations of the penalcode, v1:2018, January 1, 1980, December 31, 2018, Violations of the penal code, v1:2025, January 1, 1980, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/overtraedtype?id=c61e38d0-155b-465a-bdd2-baecc52cb478

Documentation of statistics: Slaughter Animals and Meat Production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Slaughter Animals and Meat Production 2026 , Previous versions , Slaughter Animals and Meat Production 2025, Slaughter Animals and Meat Production 2024, Slaughter Animals and Meat Production 2023, Slaughter Animals and Meat Production 2022, Slaughter Animals and Meat Production 2021, Slaughter Animals and Meat Production 2020, Slaughter Animals and Meat Production 2019, Slaughter Animals and Meat Production 2018, Slaughter Animals and Meat Production 2017, Slaughter Animals and Meat Production 2016, Slaughter Animals and Meat Production 2015, Slaughter Animals and Meat Production 2014, The purpose of slaughter animals and meat production is to show the size and value of total production of animals for slaughtering and meat. The statistics are used, among other things, to follow the Danish production of slaughter animals and meat in the slaughterhouses. The statistics have a long history and the key figures covering the past 100 years are comparable. During the 1920s and 1930s the statistics were improved and since the Second World War there has been adequate statistics in this area, but is in its present form comparable from 1990 to the year, while the monthly figures are from 1995 onwards., Statistical presentation, The statistics on slaughter animals and meat production are published as monthly and annual statements of slaughtering at slaughterhouses, distributed by cattle, pigs, sheep and lambs, poultry and horses. Information on the number of animals slaughtered and live exported animals as well as the production of meat (amount of edible meat in kg). The statistics also provide data on a wide range of prices and price quotations. Among other things average prices per kg slaughtered weight and sales value in mill. DKK for the individual categories of animals. The statistics are only calculated for Denmark as a whole., Read more about statistical presentation, Statistical processing, The statistics on slaughtering of animals cover all slaughtered animals by Danish slaughterhouses distributed by cattle, pigs, sheep and lambs, poultry and horses. The statistics are broken down by category of animals. To this is added the external trade statistics providing data on live animals. The statistics provide information on the number of slaughtered and live animals exported and meat production (the quantity of edible meat in kg). The figures on production only cover meat for human consumption. The statistics also provide data on a wide range of prices and price quotations., Read more about statistical processing, Relevance, The purpose of these statistics are to show the size and value of the production of animals for slaughtering and meat production. The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on slaughtering are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is mandatory for farmers to report which animals leave the property and where they come. At the same time, it is mandatory for slaughters to register all animals that are slaughtered. In the slaughterhouses, the slaughter weight, the assessment of the carcase, etc. the register of each animal, which includes used to settle the animal. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated down payment paid by the cooperatives and only realized after the end of the year and can thus cause uncertainty about the accrual., Read more about accuracy and reliability, Timeliness and punctuality, Data are published 1½ months after the end of the reference period for monthly and quarterly figures, while annual figures are published approx. 4-5 months after the end of the reference period. The statistics are normally published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Every month and year figures are submitted to the statistical office of EU, Euro stat. Data for all EU countries can be found at Eurostat homepage. The statistics are produced following the principles of an EU regulation, so the results are comparable., Read more about comparability, Accessibility and clarity, These statistics are 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 the subject , Livestock production, . For further information, go to the , subject page, . , Old data are included in yearly publication , Landbrug, (methodological text is only in Danish) and , Landbrugsstatistik 1900-1965, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/slaughter-animals-and-meat-production

Documentation of statistics

Currency codes (ISO 4217), v1:2019

Name: , VALUTA_ISO_V1_2019 , 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, 2019 , 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, MRU: 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, STN: 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, VES: Venezuelan bolivar soberano, 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, Variations, Variation, Historical currency codes, v1:2019, Historical currency codes, v1:2019, Open hierarchy, Download , CSV, DDI, AFA: Afghan afghani, AOK: Angolan kwanza, AON: Angolan novo kwanza, AOR: Angolan kwanza reajustado, ARL: Argentine peso ley, ARP: Argentine peso argentino, ARA: Argentine austral, ATS: Austrian schilling, AZM: Azerbaijani manat, BAD: Bosnia and Herzegovina dinar, BEF: Belgian franc, BGL: Bulgarian lev, BOP: Bolivian peso, BRB: Brazilian cruzeiro, BRC: Brazilian cruzado, BRN: Brazilian cruzado novo, BRE: Brazilian cruzeiro, BRR: Brazilian cruzeiro real, BYB: Belarussian Ruble, BYR: Belarussian Ruble, CSD: Serbian dinar, CSK: Czechoslovak koruna, CYP: Cypriot pound, DDM: East German mark, DEM: German mark, ECS: Ecuadorian sucre, EEK: Estonian kroon, ESP: Spanish peseta, FIM: Finnish markka, FRF: French franc, GEK: Georgian kuponi, GHC: Ghanaian cedi, GNS: Guinean syli, GQE: Equatorial Guinean ekwele, GWP: Guinea-Bissau peso, GRD: Greek drachma, HRD: Croatian dinar, IEP: Irish Pound, ILP: Israeli pounds, ILR: Israeli shekel, ISJ: Iceland kronur, ITL: Italian lira, LTL: Lithuanian litas, LTT: Lithuanian talonas, LUF: Franc luxembourgeois, LVL: Latvian lats, LVR: Latvian rouble, MGF: Malagasy franc, MLF: Malian franc, MRO: Mauritanian ouguiya, MTL: Maltese lira, MXP: Mexican peso, MZM: Mozambican metical, NIC: Nicaraguan cordoba, NLG: Netherlands guilder, PEH: Peruvian sol, PEI: Peruvian inti, PLZ: Polish zloty, PTE: Portuguese escudo, ROL: Romanian leu, RUR: Russian ruble, SDP: Sudanese pound, SDD: Sudanese dinar, SIT: Slovenian tolar, SKK: Slovak koruna, SRG: Surinamese guilder, STD: Sao Tome and Principe dobra, SUR: Soviet ruble, TJR: Tajikistani ruble, TMM: Turkmenistani manat, TRL: Turkish lira, UAK: Ukrainian karbovanets, UGS: Ugandan shilling, YUD: Yugoslav hard dinar, YUN: Yugoslav convertible dinar, YUR: Yugoslav reformed dinar, YUO: Yugoslav dinar, YUG: Yugoslav dinar, YUM: Yugoslav novi dinar, UYN: Uruguayan nuevo peso, VEB: Venezuelan bolivar, VEF: Venezuelan bolivar fuerte, YDD: South Yemeni dinar, ZMK: Zambian kwacha, ZRZ: Zaire, ZRN: Zairean new zaire, ZWC: Rhodesian dollar, ZWD: Zimbabwean dollar, ZWN: Zimbabwean dollar, ZWR: Zimbabwean dollar, « Back to variations list

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/valuta-iso

Documentation of statistics: Sports Participation

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Sports Participation 2025 , Previous versions , Sports Participation 2024, Sports Participation 2023, Sports Participation 2022, Sports Participation 2021, Sports Participation 2020, Sports Participation 2019, Sports Participation 2018, Sports Participation 2017, The purpose of the statistics is to highlight sports participation and results of the population and the professional athletes in Denmark. The statistics describes sports activities, the population's sports and exercise habits, attendances to sports events and Danish sports medal winners in international competitions. The earliest data series in the statistics start from 2007. The statistics in their current form are comparable with other publications of the original sources, eg the Central Association Register, and the Sports Research Institute's surveys of Danes' sports habits., Statistical presentation, The statistics contain information on activity from the sport associations, time series with main results from surveys of the population's sports habits, spectator and number of matches for selected sports and leagues, and an overview of Danish and foreign winners of international sports medals., Read more about statistical presentation, Statistical processing, The statistics of the sports associations' members' and medals for Danish athletes' performances are received from the Central Association Register and from DIF's medal overview. Selected results from IDAN's surveys of the population's sports habits are received in the form of special extracts. Spectators for selected sports and leagues are collected from the relevant federations. Data for statistics of ranking, are collected from DIF and Gracenote., Data are validated by a comparison with previous years' results and tabulated., Read more about statistical processing, Relevance, The statistics are relevant to professionals in institutions, organizations and public authorities as the basis for, for example, forecasts, analyzes and planning purposes. In addition, several of the statistics results are relevant to interested users for the lighting of sports topics., Read more about relevance, Accuracy and reliability, The overall accuracy and reliability of the results of the members' activities of the sports organizations, international medals, ranks and attendance is considered to be high, as it is build on register information from central and authoritative sources. The statistics do not take into account missing reports to resp. the Central Association Register or the federations. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of spectators to a club game. , Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately four months after the end of the reference period. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, Comparison of statistics with other countries in the area is not made. Certain results are comparable to other publications of the original sources, such as the Central Sports Association Register and results from the Sports Institute's studies of population's sports and exercise habits., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports Participation, and in the annual publication on Culture., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-participation

Documentation of statistics

Classification of education (DDU), current educations, v1:2023

Please note, a more current version of this classification is now available. See the current version , here., Name: , DDU_UDD_V1_2023 , 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 education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on 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: , December 1, 2023 , Valid to: , January 31, 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), current educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), current educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd?id=49bd80c6-d825-4370-a7dd-91faeb39d93f