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    Documentation of statistics: Register-Based Labour Force Statistics

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

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

    Documentation of statistics

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

    Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2023 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2023 , Valid to: , January 31, 2024 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=10bd06b8-5633-4790-a32e-4edbcf5f91da

    Documentation of statistics: Public libraries (Discontinued)

    Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Public Libraries 2018 , Previous versions, Public Libraries 2016, Public Libraries 2015, Public Libraries 2014, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. From 2000 and up to and including 2009 the statistics was produced by the Ministry of Culture. . The main information is stock, growth, lending, renewal of loans and interlibrary loans., Statistical presentation, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. Up to and including 2009 the statistics was produced by the Ministry of Culture., Read more about statistical presentation, Statistical processing, Statistics Denmark process the collected data, them validate and publish them in Statbank a half years after the reference year., Read more about statistical processing, Relevance, The statistics are available for all who are interested in the library business such as politicians, media, students and NGOs. There has been no study of user satisfaction in this statistic. There is regular contact with the Danish Culture authority on the quality and relevance of the statistics. , Read more about relevance, Accuracy and reliability, The statistic includes all public libraries in Denmark. Uncertainty caused by incorrectly reported figures are sought minimized thorough massive inspection of the reported figures., For the reference years 2016 and 2017 will numbers of loans, stock, growth, interlibrary loans and active loaners not be published. This is due to problems caused by the change in administrative IT-systems for the libraries in these years. , Read more about accuracy and reliability, Timeliness and punctuality, Data is collected by Statistics Denmark in the first half of the year immediately following the survey year. Publishing occurs in early July. The total production time is six months. The statistics are published according to the schedule without delay. Due to problems with datacollection is the statistic for reference years 2016 and 2017 delayed. , Read more about timeliness and punctuality, Comparability, Use of standards within the library in Denmark reflects both concrete Danish needs but also the organization of the international standard work. Statistics on public libraries are thus comparable with international statistics to the extent they are based on the same international standards., Read more about comparability, Accessibility and clarity, Publishing is in the following channels:, News from Statistics Denmark http://www.Statbank.dk, Read more about accessibility and clarity

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

    Documentation of statistics

    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