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Documentation of statistics: Pigs

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Pigs 2026 , Previous versions, Pigs 2025, Pigs 2024, Pigs 2023, Pigs 2022, Pigs 2021, Pigs 2020, Pigs 2019, Pigs 2018, Pigs 2017, Pigs 2016, Pigs 2015, Pigs 2014, The statistics on the stock of pigs shows the total number of pigs in Denmark. It aims, among other tings, to form a basis for forecasting future slaughters and future stock of sows. The statistics are also used for different economic and environmental estimations and analyses. The stocks of pigs have been compiled since 1915 but with slightly different methods used over time. The last change was in 01 April 2018. The difference in the number of pigs for new and the old method of analysis is below 1 per cent. The statistics are considered to be comparable from 1998 onwards. , Statistical presentation, The pig survey are a sample survey published every quarter as the numbers of pigs in Denmark. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank. The data series with the total stock of pigs (pigs, total) are only published without seasonal adjustment from 2020. , Read more about statistical presentation, Statistical processing, Data for the pig survey is collected by means of web questionnaires or by means of the system to system solution AgroVision or Danish Crown Data. A sample little below 1.200 holdings with pigs according to the The Central Husbandry Register (CHR) is selected. The survey is a sample survey divided into groups (strata) by the size of pigs and types of pigs on the single holding. Farms with many pigs are selected every time. The answers are validated for unrealistic values and next the sample is extrapolated to the total population of all farms with pigs. , Read more about statistical processing, Relevance, The pigs survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of pig surveys are to provide a basis base for forecasts of pigs for slaughter. The statistics are used in financially and environment studies. , Read more about relevance, Accuracy and reliability, The greatest factor of inaccuracy is updating and matching of the different registers. The relative standard deviation - sampling errors - for pigs is 0.5 per cent to 1.5 per cent. A maximum of 5 per cent has to be observed to meet EU's requirements. As part of a quality assessment statistical errors are calculated for all variables., Read more about accuracy and reliability, Timeliness and punctuality, The figures are usually published without delay in relation to the scheduled data, however with some exceptions in 2012 and 2013., Read more about timeliness and punctuality, Comparability, The pig surveys have been conducted in their present form since April 1974, but the number of pigs have been conducted at varying points in time and frequency since 1915. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the Statbank under the subject [Farms with livestock]http://www.Statbank.dk/20472). For further information, see the , subject page, . Data with long timeseries can be find on , Livestock (historic) by type of livestock, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/pigs

Documentation of statistics

Social support services

Municipal expenditure on social services, Shows municipalities’ expenditures on selected social initiatives down to the individual level., Disadvantaged children and young people, Shows how many children and young people were the subjects of notifications of concern, support activities or placements outside the home., Drug abuse treatment, Shows the number of people that municipalities have referred to drug abuse treatment., Crisis shelters, Shows the number of stays and the number of adults and children in crisis shelters., Shelters and care homes, Shows the number of citizens in shelters and care homes., The disability sector, Family benefits and child supplements, Shows the number of recipients of family benefits and child supplements., Housing benefit, Shows the number of recipients and the housing benefit amounts citizens receive., Social services for senior citizens, Shows the number of recipients and information about the extent and types of municipal services targeting senior citizens., Assistive products, Shows the number of recipients of assistive products, and how many assistive products that are lended to recipients.

https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette

Subject page

Documentation of statistics: Milk and Dairy Products

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Milk and Dairy Products 2026 , Previous versions, Milk and Dairy Products 2025, Milk and Dairy Products 2024, Milk and Dairy Products 2023, Milk and Dairy Products 2022, Milk and Dairy Products 2021, Milk and Dairy Products 2020, Milk and Dairy Products 2019, Milk and Dairy Products 2018, Milk and Dairy Products 2017, Milk and Dairy Products 2016, Milk and Dairy Products 2015, Milk and Dairy Products 2014, The statistics are used to describe the purpose of the statistics on milk and dairy products is to illuminate the size and value of the milk production on the farms and the use of milk for dairy products. The statistics on milk and dairy product have a long history and the key figures covering the past 100 years are comparable. The statistics in their present form are comparable from 1990 onwards., Statistical presentation, The statistics on milk and milk products are a monthly and annual estimate of the total milk production of farmers. The delivered amount of milk on the dairies and the dairies' primary use of the milk weighed in and the production of a variety of fresh and processed dairy products as drinking milk and cheese. The statistics also contain data on organic milk delivered to dairies and the production of organic whole milk products for human consumption, butter and cheese. Every month data are transfer to Euro stat. , Read more about statistical presentation, Statistical processing, Data is collected monthly on milk and dairy products. Data comes primary from administrative records. The data received is checked for completeness and consistency, as well as consistency with previous periods. , Read more about statistical processing, Relevance, 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 milk and dairy product are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, Information on weighed milk and dairy production is generally accurate, as dairies are required to register and report these data. Since the weighed milk forms the basis for payments to milk producers, a high degree of precision is ensured. However, there may be uncertainty in the calculation of prices and values, as supplementary payments are only determined after the end of the dairy year. In addition, the consumption of milk on farms and for feed is based on professional estimates, which introduces a minor degree of uncertainty., Foreslå en ændring, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every month. For a specific month it will be published 1½ month after the end of the month concerned. A more detail year statistics will be publish ½ year after the end of the year concerned. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistical compilation methods have remained relatively stable over time, allowing for long time series. Much of the data is comparable with other EU countries, as it is prepared in accordance with the EU regulation on milk. Similar data for milk production in EU member states can be found on the Eurostat website., Read more about comparability, Accessibility and clarity, New month figures are published in Statbank in the tables , ANI71: Milk production and use of milk by unit (month), and yearly figures , ANI7: Milk production and use of milk by unit, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/milk-and-dairy-products

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: ICT-Expenditure in Enterprises

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, ICT-Expenditure in Enterprises 2016 , Previous versions, ICT-Expenditure in Enterprises 2015, ICT-Expenditure in Enterprises 2014, ICT-Expenditure in Enterprises 2013, The purpose of the survey 'ICT expenditure' is to examine the extent of ICT expenditures in the private sector. The survey contributes to the description of the information society. The survey was conducted for the first time in autumn 2004., Statistical presentation, Private sector, : The survey examines ICT expenditure in enterprises . Variables include hardware, pre-packaged and customised software, other ICT equipment (telecommunication equipment, audio and video equipment and other ICT equipment) and ICT consultancy. For enterprises in the private sector, the total ICT expenditure is estimated by industry and size groups. Moreover, expenditure in the different sub-groups of expenditure type is estimated, see above., The public sector, (state and municipalities): ICT expenditure is not collected since 2007., Read more about statistical presentation, Statistical processing, Population of enterprises are selected according to ownership, activity (NACE code) and number of employee (more than 10 full time equivalent), The drawing of sample is coordinated with the SBS accounting statistics., Errors in sum are corrected and outliers are identified, contacted and eventually corrected., Weights are estimated for 60 strata and the recordings of each enterprise is multiplied according to the strata., Read more about statistical processing, Relevance, Statistics is used in business organizations, service contracts with ICT enterprises, ministries and the results are included in research projects., Read more about relevance, Accuracy and reliability, Approx 3,200 responses have been used in the grossing up procedure. The results are grossed up so that they correspond to full coverage of the surveyed industries and size groups. Each enterprise in the sample is assigned a weight such that it represents a certain number of enterprises in the population. The grossing up procedure is based on the number of enterprises, and the number of fulltime employees within employment groups. Regarding the enterprises the response rate is 95 per cent for the survey. Loss is due to bankruptcy, take over, etc. The high response rate indicates that results are reliable as the statistical variance indicates. Measures of inaccuracy for selected variables are available., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are published on time one year and 4 month after reference year., Read more about timeliness and punctuality, Comparability, Comparable figures from 2008 and forward. Eurostat have collected data for 2009 and 2012 not yet published by Eurostat., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, Yearbook: Information Society Denmark., Main results are accessible at the website of Statistics Denmark and at Statbank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-expenditure-in-enterprises

Documentation of statistics

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

Documentation of statistics: Work Stoppages

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Work Stoppages 2025 , Previous versions, Work Stoppages 2024, Work Stoppages 2023, Work Stoppages 2022, Work Stoppages 2021, Work Stoppages 2020, Work Stoppages 2019, Work Stoppages 2018, Work Stoppages 2017, Work Stoppages 2014, Work Stoppages 2013, The purpose of the statistics is to calculate the number of working days lost due to work stoppages. The statistics has been compiled without any breaks since 1996., Statistical presentation, The statistics is published on a yearly basis and provide an overview of the number of work stoppages, number of recipients employees and number of lost working days during the calendar year., Read more about statistical presentation, Statistical processing, Reporting forms is sent out in February the year after the reference year with a response time of 3 weeks. Immediately after the reporting deadline a reminder is sent. If the reporting still does not happen, we make a phone call to the company/working place. , Read more about statistical processing, Relevance, Not relevant for these statistics., Read more about relevance, Accuracy and reliability, As the statistics is based on a sample of major employees and employee organizations they do not provide complete coverage of the area. But it is assumed that the major part of working stoppages during the year is covered by the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 3 months after the reference date. The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics are compiled since 1973, but up to 1995 only work stoppages with a loss of 100 working days or more are included. From 1996 and onwards all work stoppages are included despite the range. This means that figures from 1996 and onwards are not directly comparable backwards in time. The number of work stoppages and loss of working days might be underestimated for the 2006 statistics. Changes in the public sector made it impossible to retrieve information from all public institutions regarding work stoppages., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank, these statistics can be found under the subject , Strikes and lockouts, . For further information, go to the , subject page, ., All data available is published., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/work-stoppages

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