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Documentation of statistics: Fur animals production (Discontinued)

Contact info, Food Industries , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Fur Animals Production 2021 , Previous versions, Fur Animals Production 2020, Fur Animals Production 2019, Fur Animals Production 2018, Fur Animals Production 2017, Fur Animals Production 2016, The purpose of the statistics is to illuminate fur production in Denmark, including the production of skins of mink, chinchilla and foxes. The statistics have been compiled since 1990 and are comparable throughout the period. In 2020, all mink were killed in Denmark, Statistical presentation, The statistics provide information on the number of skin from fur animals, the average prices per skin and the total values of the skin production. The stocks of fur animals are distributed by mink, chinchilla and foxes. , Read more about statistical presentation, Statistical processing, Information is collected from Copenhagen Fur. Number of skin produced in 2020 are information from Danish Veterinary and Food Administration. , Read more about statistical processing, Relevance, The statistics on fur production are of great interest to agricultural organizations, the Ministry of the Environment and Food, and the EU. The statistical data are also used in other areas within Statistics Denmark for, among other things, to calculate volume and price indices, as well as Agriculture's gross factor income, which is included in the National Accounts. No survey on the user satisfaction is available. The main impression is a high degree of satisfaction. , Read more about relevance, Accuracy and reliability, The basis for the data are the auctions by Copenhagen Fur. The only place in Denmark, which hole auction with fur. The statistics are compiled from register-based data., Read more about accuracy and reliability, Timeliness and punctuality, The punctuality is high, with delays happening very rarely., Read more about timeliness and punctuality, Comparability, The data is comparable form 1990 onwards., Read more about comparability, Accessibility and clarity, Yearly data about furred animals can be find in Stat Bank , Animalsk produktion, , i tabellen , PELS6, .Data i StatBank Denmark:, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/fur-animals-production--discontinued-

Documentation of statistics

Documentation of statistics: Purchase of commodities and services in the construction industry (Discontinued)

Contact info, Short Term Statistics , Get documentation of statistics as pdf, Purchase of Commodities and Services in the Construction Industry 2018 , Previous versions, Purchase of Commodities and Services in the Construction Industry 2017, Purchase of Commodities and Services in the Construction Industry 2016, Purchase of Commodities and Services in the Construction Industry 2015, Purchase of Commodities and Services in the Construction Industry 2014, Purchase of Commodities and Services in the Construction Industry 2012, The purpose of the statistics is to give detailed information about services and materials used in the Danish constructional production. It is used, among other things for the national accounts. The statistics has been made since 2006. In its present form figures are comparable from 2012 and onwards., Statistical presentation, The purpose of the statistics is to give detailed information about services and materials used in the Danish constructional production. The purchase of services are divided into 10 types of services and reported for 5 construction industries. The purchase of materials are divided into 44 material groups and reported for 5 construction industries. The statistic is based on a survey among construction companies., Read more about statistical presentation, Statistical processing, The reported data is scaled to the total population of companies with main activity in construction. The scaling compensate for bias in the sampling and reporting. No numbers are imputed. The reported numbers are controlled for errors. , Read more about statistical processing, Relevance, The statistic is used mainly by the national account for information on the linkages between construction and other sectors., Read more about relevance, Accuracy and reliability, It is estimated that the statistic has a reasonable quality at an aggregated level. At material-group level it is estimated that the quality is low. No quantitative measures of the total uncertainty of the statistic have been done. For the totals in purchase of materials and services the sample uncertainty is approximately 5 pct.. The statistic has a number of measuring errors. These are estimated as being a greater source of uncertainty than the sample uncertainty. the statistic is reliable in the sense that published numbers are rarely revised., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published yearly, ultimo April., Read more about timeliness and punctuality, Comparability, In the archive one can find statistics for the years 2006-2011 in the tables BYGT, BYGTX, BYGR and BYGRX. These statistics are not comparable to the new time series, since they are not scaled to the population. It is not possible to compare the data in the survey with other business surveys., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Purchase of commodities and services in construction, . For more information go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchase-of-commodities-and-services-in-the-construction-industry--discontinued-

Documentation of statistics

Documentation of statistics: Family benefits and child supplements

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Family benefits and child supplements 2024 , Previous versions, Family benefits and child supplements 2023, Family benefits and child supplements 2022, Family benefits and child supplements 2021, Family benefits and child supplements 2020, Family benefits and child supplements 2019, Family benefits and child supplements 2018, Family benefits and child supplements 2017, Family benefits and child supplements 2016, Family benefits and child supplements 2015, Family benefits and child supplements 2014, Family benefits and child supplements 2013, The purpose of the statistics about family benefits and child supplements is to illustrate the number of recipients of family benefits and child supplements plus the payments and the number of children they receive payments for. The statistics of family benefits has been published from the tax year 1957/58, but the current format dates back to 2017., Statistical presentation, The statistics describe the number of people receiving child and youth benefit and child supplements and the benefit amount. Since 2017, the statistics are based on the paid amounts each quarter as opposed for the granted amount for a set period. The statistics are published in the Statbank. The statistics are aggregated i regards to benefit type and geographical area., Read more about statistical presentation, Statistical processing, The statistics is collected directly from the IT systems paying out the family benefits and child supplements at ATP via NetCompany. Data is validated by checking for duplicate amongst others. Data are aggregated by benefit or allowance type and geographical area., Read more about statistical processing, Relevance, Users: Ministries, agencies, the Law Model, Local Government Denmark, municipalities and researchers. The statistics is used internally in Statistics Denmark. The statistics is not presented at any committees for users., Read more about relevance, Accuracy and reliability, The statistics are based on a register that covers all recipients of family benefits and child supplements, as well as the children the benefits are provided for. The data also includes correction due to errors in previous payments., Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published 4 months after the end of the 4th quarter. , Read more about timeliness and punctuality, Comparability, In it's current form data is fully comparable from 2017 Q1. Prior to 2017 adjustments made to payouts due to errors in preceding quarters was not included in the data., Read more about comparability, Accessibility and clarity, The statistics is published in the StatBank under the subject , Family benefits and child supplements, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/family-benefits-and-child-supplements

Documentation of statistics

Documentation of statistics: National Elections in Denmark

Contact info, Population and Education , Annemette Lindhardt Olsen , +45 20 59 02 47 , ALO@dst.dk , Get documentation of statistics as pdf, National Elections in Denmark 2019 , Previous versions, National Elections in Denmark 2015, National Elections in Denmark 2014, Statistics Denmark have overtaken the responsibility for making statistics on national elections from the Ministry of Interior in October 2008. It is Statistics Denmark, who make and announce all the official results regarding elections., Statistical presentation, Statistics Denmark has a , election website, . The website is only available in Danish. All results are disseminated on the website. Detailed tables are also available in the Statbank under , Election, a few weeks after an election., Read more about statistical presentation, Statistical processing, Statistics Denmark does some controls. If anything looks strange the responsible municipality is contacted. No corrections are without the consent of the responsible municipality., Read more about statistical processing, Relevance, For many users it is of course extremely important that elections results are ready as fast as possible. For many users it is also important that data is available in formats that they are able to work with themselves., Read more about relevance, Accuracy and reliability, In Danish elections votes are counted manually. The municipalities use an IT-system developed by KMD afterwards. It is only a few very obvious mistakes that Statistics Denmark has any possibility of discovering. E.g. when a result in one area differs significantly from other results within the same constituency. Controls are in place in order to find situations like these., Read more about accuracy and reliability, Timeliness and punctuality, Fast dissemination of results are of course extremely important regarding elections. On election night results are published as they come in. Recounted results are also published as they come in. The first recounted results typically arrives before noon the day after an election and the last one arrives late in the evening., Read more about timeliness and punctuality, Comparability, The electoral structure was changed on 1 January 2007. Results broken down by electoral provinces (landsdele), multi-member constituencies (storkredse) and nomination districts (opstillingskredse) are therefore not comparable for elections before and after 1 January 2007., Read more about comparability, Accessibility and clarity, Election, (only in Danish), Statbank, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-elections-in-denmark

Documentation of statistics

Documentation of statistics: Accounts Statistics by Industry

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics by Industry 2023 , Previous versions, Accounts Statistics by Industry 2022, Accounts Statistics by Industry 2021, Accounts Statistics by Industry 2020, Accounts Statistics by Industry 2019, Accounts Statistics by Industry 2018, Accounts Statistics by Industry 2017, Accounts Statistics by Industry 2016, Accounts Statistics by Industry 2015, Accounts Statistics by Industry 2014, Accounts Statistics by Industry 2012, The purpose of the present version of accounts statistics for primary industries is to compile statistics on agriculture, fishery and aquaculture which are comparable with accounts statistics on private non-agricultural industries. Furthermore the purpose is to analyze the economics in the primary industries and can be the basis for business policy decisions. In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts. Data is available for 2008 and forward., Statistical presentation, The purpose of the statistics is to analyze the activity level and the structure of the Danish primary industries yearly. The basis of the statistics is detailed accounts items e.g. turnovers, costs, profits, assets, debts and investments. This statistics is a further processing of the data collected to the accounts statistics on agriculture, fishery and aquaculture., Read more about statistical presentation, Statistical processing, The preparation of data is mainly done when the accounts statistics on agriculture, fishery and aquaculture is made. Data is checked carefully on a individual basis. Enterprises with less than 0,5 person employed (paid or own occupation) are deselected. There is not implied further editing to the data., Read more about statistical processing, Relevance, The statistics is relevant because it compares the statistics on the primary industries to the statistics on non-agricultural accounts. In addition it is also input to the national accounts., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of a sample population and consequently, the results are subject to some degree of statistical uncertainty. However the reliability on the statistics is considered to be good. This assessment is based on a representation of agricultural land, livestock and turn-over for fisheries and aquaculture. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every and are expected to be published in April, 16 month after the ending of the accounting year., Read more about timeliness and punctuality, Comparability, The main purpose of the accounts statistics for the primary industries is that the results from the primary industries are comparable with the non-agricultural industries., Internationally the accounts data on agriculture are delivered to FADN while the accounts statistics on fishery and aquaculture is delivered to DG Mare, which compares the results with other EU countries., Read more about comparability, Accessibility and clarity, The statistics are available from , StatBank Denmark, . The statistics is not published other places than in StatBank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-by-industry

Documentation of statistics

Documentation of statistics: Public arrears

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Public arrears 2024 , Previous versions, Public arrears 2023, Public arrears 2022, Public arrears 2021, Public arrears 2020, Public arrears 2019, Public arrears 2018, Public arrears 2017, Public arrears 2016, The purpose of Arrears to general government is to analyze the yearly development in public debt that haven't been paid on time, among these tax in arrears. The statistics were published for the first time in 2017 covering the years 2013-2016 and the statistics are comparable over time. , Statistical presentation, The statistics provide a yearly overview of arrears to general government and it provides information about public arrears divided based on creditor and type. Both the total and the individual arrears are of public interest as they influence the government cash flow. , Read more about statistical presentation, Statistical processing, The compilation and the collection of data in done by the Danish Debt Collection Agency. Statistics Denmark makes no direct statistical treatment, except for validation of data. , Read more about statistical processing, Relevance, Arrears effect the public liquidity and, if they are not collected, also the surplus/deficit. The statistics are relevant for economic ministries, the central bank, NGOs and others compilers of economic analysis and forecast. The statistics are part of the general economic debate and often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics are based on Danish Debt Collection Agencys register, why errors in these are transferred to the statistics. However, these possible errors are assumed to be very small. the uncertainty is therefore assumed to be low. No revisions of data will be made., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of August in the year after the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 2017 covering the years 2013-2016. The data in the statistics is fully comparable over time. There are no common EU guidelines or manuals for statistics on public arrears., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Arrears to general government, . For further information, go to the arrears to general government , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-arrears

Documentation of statistics

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

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

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

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

Name: , DDU_UDD_V1_2026 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit 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: , February 1, 2026 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (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

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

Please note, a more current version of this classification is now available. See the current version , here., Name: , DDU_AUDD_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 completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Valid to: , January 31, 2026 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, January 31, 2026

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd?id=00735784-1738-48d5-bd10-aa37a912580f

Contact: Short Term Statistics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Søren Kühl Andersen , +45 22 26 04 36, ska@dst.dk, Construction Statistics, Index, Danish Building and Housing Register, etc., Senior Adviser, Senior Adviser, Kasper Emil Dueholm Freiman , +45 23 45 47 32, kfr@dst.dk, Industry, Chief Adviser, Chief Adviser, Mathias Dybdahl Bluhme , +45 40 22 56 37, mdb@dst.dk, Senior Adviser, Senior Adviser, Simon Bolding Halifax , +45 51 29 21 91, sbh@dst.dk, Head of Section, Head of Section, Morten Skovrider Kollerup , +45 24 52 61 68, msl@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Eriksen , +45 61 50 41 27, bhe@dst.dk, Senior Head Clerk, Senior Head Clerk, Inger Hansen , +45 40 23 78 84, iha@dst.dk, Senior Head Clerk, Senior Head Clerk, Heidi Sørensen , +45 24 79 86 81, hsn@dst.dk, Purchases and Sales by Industry and Retail Trade Index, Chief Adviser, Chief Adviser, Lina Pedersen , +45 51 68 72 80, lip@dst.dk, Retail trade index, Chief Adviser, Chief Adviser, Nina Thøgersen , +45 21 20 32 67, nit@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Larsen , +45 81 75 12 42, kil@dst.dk, Secretary, Tourism, Senior Head Clerk, Senior Head Clerk, Majbrit Holst , +45 24 94 08 24, mbj@dst.dk, Tourism, Chief Adviser, Chief Adviser, Karen Keller , +45 21 19 85 61, kke@dst.dk, Transport and Vehicles, Chief Adviser, Chief Adviser, Peter Ottosen , +45 30 42 91 91, pot@dst.dk, Head Clerk, Head Clerk, Henriette Erichsen , +45 29 77 56 38, hee@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Moric Ingemann , +45 24 78 42 12, kam@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=08&tlfbogsort=sektion