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Documentation of statistics: Sports clubs and sporting facilities

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 clubs and sporting facilities 2025 , Previous versions, Sports clubs and sporting facilities 2024, Sports clubs and sporting facilities 2023, Sports clubs and sporting facilities 2022, Sports clubs and sporting facilities 2021, Sports infrastructure and resources 2020, Sports infrastructure and resources 2019, Sports infrastructure and resources 2018, Sports infrastructure and resources 2017, The purpose of these statistics is to illustrate the physical and organizational structures of sports in Denmark, as well as memberships under the various sports federations. The statistics have been established since 2017 and are comparable throughout the period., Statistical presentation, These statistics is an annual estimate of the number of associations, number of members and sports facilities in Denmark. These statistic are allocated by organization, facility type and geographical by municipality. , Read more about statistical presentation, Statistical processing, Facilities are compiled per October 1st annually from the Danish Sports Facility Database. The database is a co-operation between the Danish Institute for Sports Studies and the Danish Foundation for Culture and Sports Facilities. The number of sports associations and members are reported annually by DIF, which collects data about sports associations and members from administrative sources., Data processing in Statistics Denmark includes coding of data, tabulation and control of detailed register extracts to the level of publication., Read more about statistical processing, Relevance, Users are Ministries, Agencies and various interest groups. The statistics are developed in cooperation with the Ministry of Culture and a project group comprising representatives of the national sports associations, researchers and other resource persons in this area. The statistics may serve to qualify public debate on sports and cultural policies., Read more about relevance, Accuracy and reliability, The statistics do not take into account missing reports to resp. the Central Association Register or the Facility Database. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of a new sports facility. However, the statistics are based on known authoritative sources and databases regarding the sports organizations' membership and facility numbers., 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, No comparison with other countries are made. Selected results may be compared to other presentations of the original sources, e.g. those made by the Central Registry of Sports Associations and the Danish Sports Facility Database., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports clubs and sporting facilities, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-clubs-and-sporting-facilities

Documentation of statistics

Documentation of statistics: Newspapers and Magazines

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Newspapers and Magazines 2023 , Previous versions, Newspapers and Magazines 2022, Newspapers and Magazines 2021, Newspapers and Magazines 2020, Newspapers and Magazines 2019, Newspapers and Magazines 2018, Newspapers and Magazines 2017, Newspapers and Magazines 2016, Newspapers and Magazines 2014, Newspapers and Magazines 2013, The purpose of the statistics for newspapers and magazines is to shed light on the development of the readership and the number of magazines, trade journals and daily newspapers in Denmark. Previously, the statistics were based on circulation figures from Dansk Oplagskontrol, but from 2017 it is based on readership numbers from Index Denmark / Gallup with time series beginning in 2007., Statistical presentation, Daily newspapers and magazines are annual statements of readership and the number of different categories of newspapers and magazines. Newspapers are divided according to whether their reach is nationwide or local / regional. Magazines are distributed on topics and publication frequencies. Trade journals are divided according to the Danish media industry classification, e.g. agriculture or communication. , Read more about statistical presentation, Statistical processing, The statistics are based on official, industry-recognized readership measurements for the printed media that Index Denmark/Gallup compiles and where quality assurance is performed by the Index Denmark Methodology Committee . Data is collected by a sample survey that annually includes 25,000 representative respondents aged 12 years and over. Statistics Denmark publish the data compiled by Index Denmark/Gallup in interactive tabular format. For newspapers, trade journals and magazines, Statistics Denmark aggregates the readerships to gross coverage., Read more about statistical processing, Relevance, The statistics are expected to meet the needs of several user groups for a comprehensive and easily accessible overview of readership for daily newspapers and the development of the printed media. , Read more about relevance, Accuracy and reliability, The statistics is based on a survey based on a sample of respondents and readership figures are therefore subject to uncertainty. Readership figures say nothing about the thoroughness of reading, and reflects the respondents' own perception of their media usage. The statistics are based on official, industry-recognized readership measurements from Index Denmark/Gallup. In addition to the statistical uncertainty in the measurement of readership figures in the original sources, typing, coding and calculation errors in the data processing can be sources of uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately four months after the end of the reference year. The statistics are published at the announced time., Read more about timeliness and punctuality, Comparability, The statistics are comparable in their current form since 2018. Furthermore, deactivated tables present comparable data of 6-months intervals in a time series from 2007-2018. Comparable statistics are available for Nordic daily newspapers based on statistics in the Nordic StatBank. At European level, there is a comparative study of the number of readers reading newspapers published by Eurostat., Read more about comparability, Accessibility and clarity, The figures are published in the StatBank under the subject , News media and magazines, . In addition, selected results are included in the publication , Culture, . See more on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/newspapers-and-magazines

Documentation of statistics

Documentation of statistics: Internet, radio and TV

Contact info, Science, Technology and Culture , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Internet, radio and TV , Previous versions, Internet, radio and TV 2021, Internet, radio and TV 2020, Internet, radio and TV 2019, Internet, radio and TV 2018, The purpose of the statistics is to shed light on the population's connection to and advertising revenue on the Internet. You can, for example, see how many active internet subscriptions there are in Denmark or follow the turnover on the internet by type of advertisement. The statistics are based on information from the Danish Energy Agency and The Danish Media Association and can be used to gain an overall insight into the distribution and turnover on the Internet., Statistical presentation, The statistics show semi-annual statements of resp. the number of broadband subscriptions, by type of broadband, and active Internet subscriptions for resp. private and business. In addition, the statistics contain quarterly statements for revenue on the Internet, by type of advertising., Read more about statistical presentation, Statistical processing, For these statistics, Statistics Denmark solely perform quality assurance and dissemination of information that has been collected, processed and disseminated by other statistical producers and data providers. Please consult the original sources for a detailed review of the statistical processing., Read more about statistical processing, Relevance, The statistics are relevant for professionals and other interested parties. It provides a clear overview of the number of broadband subscriptions, active Internet subscriptions and advertising revenue on the Internet and can be used to get an overall insight into the distribution and revenue on the Internet., Read more about relevance, Accuracy and reliability, Statistics on broadband subscriptions and active internet subscriptions are based on the Danish Energy Agency's telecommunications statistics, which are based on reports from most of the providers of electronic communications networks and services in Denmark. Internet revenue by ad type is based on market statistics from The Danish Media Association's Online Index.The market statistics are used and recognized by the industry., Read more about accuracy and reliability, Timeliness and punctuality, Estimates on broadband subscriptions and active internet subscriptions are published approx. eight months after the end of the reference period. Internet revenue by ad type is published an average eight to nine months after the end of the reference quarter. The publication date of the statistics may be delayed compared to scheduled release times, because the publishing times of the original sources may vary., Read more about timeliness and punctuality, Comparability, From the first half of 2008, active internet subscriptions only include broadband connections, i.e. internet connections with downstream capacity of 144 Kbit/s or more. From the second half of 2008 and onwards, business subscriptions are divided into subscriptions used by business and private. No comparison of these statistics has been made with similar international estimates. For further considerations regarding comparability please consult the original sources., Read more about comparability, Accessibility and clarity, The statistics are published in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/internet--radio-and-tv

Documentation of statistics

Documentation of statistics: Book sales

Contact info, Science, Technology and Culture, Business Statistics , Christian Törnfelt , +45 21 63 60 20 , cht@dst.dk , Get documentation of statistics as pdf, Book sales 2024 , Previous versions, Book sales 2023, Documents associated with the documentation, Genreopdeling ved hjælp af Themakoder (pdf) (in Danish only), The purpose of the statistics Book sales is to shed light on the development of book sales in Denmark. The statistics illustrate the trends in the number of copies sold through physical bookstores and online sales channels. The statistics are new as of 2024 and include data from the third quarter of 2022 onwards., Statistical presentation, Book sales is a quarterly compilation of the number of physical books, e-books and audiobooks sold through physical bookstores (including the largest supermarket chains) and online sales channels. Sales of used books (e.g. from second-hand bookstores, thrift stores, and flea markets) are not included. The statistics are categorized by genre, format/media, publication language, original language and binding type. The data is published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in Statbank Denmark. Data sources and coverage are still under development, and the figures are therefore preliminary. Future revisions may occur., Read more about statistical presentation, Statistical processing, Data for this statistics is collected through monthly transfers of transaction data on book sales units from SAXO.com A/S, Indeks Retail (Bog & Idé), Gucca and the major supermarket chains (COOP, Salling and Dagrofa)., The transaction data is enriched with information from DBK, which manages the Bogportalen and Publizon, allowing the books to be classified by genre, format/media, publication language, original language and binding type. If this information is missing for certain editions, efforts are made to manually complete it using various assumptions., Read more about statistical processing, Relevance, The key users are stakeholders in the book industry, the Ministry of Culture and other interested parties. The statistics are used for analyses in the literature sector., Read more about relevance, Accuracy and reliability, The statistics cover the majority of book sales in Denmark, purchased new. The metadata coverage is considered satisfactory for Danish publications, although coverage is lower for foreign publications. Coverage is also lower for books/book products where the primary purpose is not reading, such as coloring books, board books, activity books, calligraphy books, books with music notation, songbooks, and puzzle books like Sudoku. ISBN errors may occur, but they are not deemed to be a widespread issue., The figures are preliminary, and future revisions may occur as book sales data expands and metadata quality improves., Read more about accuracy and reliability, Timeliness and punctuality, The figures are provisional, and future revisions may occur. The publication of the statistics takes place at the end of November. Since the statistics are new, the punctuality of the statistics cannot yet be described., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable to other published book sales statistics. There are no international guidelines for the production of book sales statistics., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the newsletter Nyt fra Danmarks Statistik (in Danish only) at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Literature, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/book-sales

Documentation of statistics

Documentation of statistics: Artists in Denmark

Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , cbf@dst.dk , Get documentation of statistics as pdf, Artists in Denmark 2024 , Previous versions, Artists in Denmark 2023, Artists in Denmark 2022, Documents associated with the documentation, Overblik over datakilder til 2023-populationen (pdf) (in Danish only), Overblik over datakilder til 2025-populationen (pdf) (in Danish only), The purpose of 'Artists in Denmark' is to contribute to increased knowledge about the conditions of artists in Denmark. The statistics is used to establish a data foundation for understanding artists in Denmark. The statistics was first published in 2023, with figures for the year 2022., Statistical presentation, The statistics on artists in Denmark are an annual compilation of the number of artists in Denmark, categorized by artistic area, income basis, gender, age group, residential region, family type, education level, main source of income and personal income. The statistics are divided into the five artistic areas: music, writers and words, visual arts and designers, film and TV, and drama and performing arts., Read more about statistical presentation, Statistical processing, The population in the statistics is based on four data sources: 1) Membership data from the member organizations under the Council of Danish Artists, 2) Data on recipients of royalties from artistic activities and 3) Data on recipients of grants or project support from the Danish Arts Foundation. The population in the statistics is linked to information from the population register regarding gender, age, and residence, as well as information on income from the Income Register and educational level from the education register., Read more about statistical processing, Relevance, The statistics is relevant for anyone with an interest in the cultural sector. The data can be used for analysis, research, and discussions within the cultural domain., Read more about relevance, Accuracy and reliability, The statistics are based on extensive data collection, but there is uncertainty as to whether all individuals in the population are in fact artists. Some organizations have chosen not to contribute, which may lead to underestimation. Income from artistic work is likely underestimated. Ongoing efforts are being made to improve the data. The time series from 2019–2023 uses the 2023 population, meaning that variations reflect, among other things, that younger artists were not active in earlier years and that some individuals were not residing in Denmark throughout the entire period. The 2024 data is based on the 2025 population of artists and cannot be compared to data based on the 2023 population of artists., Read more about accuracy and reliability, Timeliness and punctuality, The release time for the statistics is 20 months after the end of the reference period to allow for the completion of the underlying registers. The statistics is new but is expected to be published as planned., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2023 with data from 2022 as the first release. From 2024 a new population of artists is used and the numbers for 2024 is therefor not comparable to earlier years. The statistics is unique to Denmark and, therefore, cannot be directly compared to statistics in other countries., 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. In the StatBank, these statistics can be found under the subject , Education and employment in the cultural field, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Market Value for Households Real Estate

Contact info, Government Finances, Economic Statistics , Mikkel Bjerre Trolle , +45 29 36 68 25 , MIT@dst.dk , Get documentation of statistics as pdf, Market Value for Households Real Estate 2024 , Previous versions, Market Value for Households Real Estate 2023, Market Value for Households Real Estate 2022, Market Value for Households Real Estate 2021, Market Value for Households Real Estate 2020, Market Value for Households Real Estate 2019, Market Value for Households Real Estate 2018, Market Value for Households Real Estate 2017, Market Value for Households Real Estate 2016, Market Value for Households Real Estate 2015, This is the first publication of the households’ assets in real estate on individual level. The purpose is to follow the development of the households’ real estate. Sector delimitation of units in the sector of households is defined in European system of national accounts (ESA2010). From this it appears that sole proprietorships are a part of the households’ sector. Registers on individual level can be used for distribution analyses, e.g. in relation to income, financial liabilities or socioeconomic status., Statistical presentation, The statistics provides closing values for each year. The household’s real estate consisting of owner occupied dwellings and co-operative dwellings. All figures are reported in current prices. , Read more about statistical presentation, Statistical processing, Data from the various registers are merged through property identification and personal identification. There are made classifications, aggregations and calculation of the market value. For publication there is added relevant background information about the families., Read more about statistical processing, Relevance, The statistic has a lot of interested parties including ministries, politicians, organizations and the press.., Read more about relevance, Accuracy and reliability, The adjustment factor is the same within a geographic area, even though the actual sales value can vary a lot due to e.g. differences in the location of the owner-occupied dwellings (amenity), which are not reflected completely in the official real estate valuations. The preliminary year are dependent primarily on sales data for real estate. When the final year are calculated all of the sources are available. Experience from 2019 and 2020 shows that the preliminary year tends to underestimate the total market value of the final year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics i published with preliminary figures in march, 3 months after the reference date. Final figures is published a year later. One year and 3 months after the reference date., Read more about timeliness and punctuality, Comparability, The statistic is consistent over time. However, one must be aware that the figures are calculated at current prices. There is no knowledge of any individual based register of household wealth in real estate, which is comparable to the Danish. Figures for total household wealth in real estate are also published in the statistics concerning financial national accounts which is published in June and November., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Real estate, , and the , theme page, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/market-value-for-households-real-estate

Documentation of statistics

Documentation of statistics: Health among young people not in employment, education or training (NEET) (experimental statistics)

Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , LHA@dst.dk , Get documentation of statistics as pdf, Health among young people not in employment, education or training (NEET) (experimental statistics) 2023 , Previous versions, Health among young people not in employment, education or training (NEET) (experimental statistics) 2022, Health among young people not in employment, education or training (NEET) (experimental statistics) 2021, The purpose of Health among young people not in employment, education or training (NEET) is to shed light on hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds, distinguishing between the inactive NEETs (Not in Employment, Education or Training) and the remaining group of active young people. The statistics are used to compare the state of health among NEETs and the remaining group of active young people. These statistics have been compiled since 2019 and are in their current form comparable from 2019 and onwards., Statistical presentation, Health among young people not in employment, education or training (NEET) are a yearly measurement of hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds stated in number and proportion of people, as well as number of contacts with the hospital system and selected health professionals/redeemed prescriptions per person. The statistics are grouped by NEET status (the NEET group vs. the remaining group of active young people), sex and by geography., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Register-Based Labour Force Statistics and the two health statistics: the Hospital Utilisation Statistics and the Health Insurance Statistics as well as the Register of Pharmaceutical Sales. Collected data are not further validated. Instead, collected data are merged, and the detailed information about the population's hospital utilisation, consultations with physicians and purchases of prescription medicine is aggregated into the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of the health of the NEET group., Read more about relevance, Accuracy and reliability, The overall accuracy of these statistics is high, which means that they are a good measure of the health status among the NEET group and the remaining group of active 16-24-year-olds. However, it should be noted that the operationalization of NEET status implies a great diversity within the NEET group, for this reason far from all young people in this group should be designated vulnerable. Overall, the statistics are reliable, as both the data and methods are of good quality. As the statistics only release final figures, revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 1.5 years after the end of the reference period. Publications are released on time as stated in the release calendar., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2019 and are in their present form comparable from 2019 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published once 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 , Health of vulnerable groups, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-among-young-people-not-in-employment--education-or-training--neet---experimental-statistics-

Documentation of statistics

Documentation of statistics: Structure of Earnings

Contact info, Labour Market, Social Statistics , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2024 , Previous versions, Structure of Earnings 2023, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

Documentation of statistics

Documentation of statistics: Working time accounts

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Working time accounts 2025 , Previous versions, Working time accounts 2024, Working time accounts 2023, Working time accounts 2022, Working time accounts 2021, Working time accounts 2020, Working time accounts 2019, Working time accounts 2018, Working time accounts 2017, Working time accounts 2016, The purpose of the Danish working time accounts (WTA) is to compile time series on hours worked and calculate wage and employment data for companies registered in Denmark. The statistics integrate and aggregate existing statistics, including the Labor Market Accounts (LMA) and Employees, and it is comparable since 2008., Statistical presentation, The statistics is a quarterly and yearly calculation of hours actually worked, number of employees, number of jobs and wages in DKK million. The statistics are distributed by industry, sector, whether you are an employee or self-employed, and by gender., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projections to periods for which structural data are not available. Summation of the data is conducted before they are projected. Data is seasonally adjusted for national use., In the new EU statistics under Council Regulation (EC) No 2019/2152 of 27 November 2019 concerning European Business Statistics, data are trade day adjusted before being compiled into indices, Read more about statistical processing, Relevance, The statistics is relevant for users interested in social and economic statistics., Read more about relevance, Accuracy and reliability, The statistics is mainly based on the Labour Market Accounts (LMA). LMA integrates and harmonizes a wide range of data sources in a statistical system. This means that LMA can illustrate the labour market better than individual statistics can. LMA is at the same time based on a total census of the population, so there is not the same uncertainty as with statistics based on sampling. The quality of the statistics has also been significantly improved by the fact that the projection period has been reduced compared to previous versions., Read more about accuracy and reliability, Timeliness and punctuality, The annual Working Time Accounts (WTA) are published 6 months after the reference year. The quarterly WTA are published two months and 15 days after the reference quarter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Working Time Accounts (WTA) provide data for Council Regulation (EC) No 2019/2152 of 27 November 2019 and for the National Accounts (SNA/ESA). Changes in these will typically lead to changes in the ATR. For an explanation of transition tables between ATR and SNA/ESA, see National Accounts publications., Read more about comparability, Accessibility and clarity, The statistics are published in in the , Statbank Denmark, . You can read more on our , website on the Working Time Account, WTA, and our , website on employment, ., S.6.2. Data sharing: In addition to quarterly figures to Eurostat (STS and indirectly via ESA), data from the Danish WTA are also transmitted to OECD (regional questionnaire) and ILO (ILOSTAT database) although the latter are transmitted in annual figures only., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Long Term Unemployed Persons

Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Long Term Unemployed Persons 2024 , Previous versions, Long Term Unemployed Persons 2020, Long Term Unemployed Persons 2019, Long Term Unemployed Persons 2018, Long Term Unemployed Persons 2017, Long Term Unemployed Persons 2016, Long Term Unemployed Persons 2015, Long Term Unemployed Persons 2014, This statistics show the structure and development of long-term unemployment, defined as gross unemployment spells of minimum 52 weeks. The statistics cover all months in the period from January 2009 onwards. The statistics also covers shorter and longer unemployment spells, these different spells was published for the first time in October 2018., Statistical presentation, The statistics cover the persons who are long-term unemployed due to administrative data. A long-term unemployed person has been gross unemployed for at least 52 consecutive weeks (1 year). Persons who leave the gross unemployment for a period of 4 weeks, within the 12 months, and who is not in ordinary employment during the period of 4 weeks are also included in the statistics. The statistics also covers unemployment spells by duration from 26 weeks (0,5 year) up to 156 weeks (3 years)., Read more about statistical presentation, Statistical processing, The statistics of long-term unemployment is made out of the register of public benefits that covers all persons receiving public benefits in the age below their official pension age. The Register of Employees is also used in the statistics. The employment records cover employed persons in firms registered in Denmark from January 2008 onwards., Both data regarding public benefits and employment is collected quarterly. , Read more about statistical processing, Relevance, Users: Ministries (primary the Ministry of Employment), municipalities, organizations, educational institutions, research institutions, the news media and private persons., The statistics is quite new and there has not been collected any knowledge about the user experience., Read more about relevance, Accuracy and reliability, The statistics measure the number of long-term unemployed persons according to administrative registers and is based on a full sample. The statistics is precise according to the written description of long-term unemployment., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and is published 4 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic is comparable from one month to another from January 2009 onwards. For international comparison the long unemployment term/figures from the Labour Force Survey is recommended., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Unemployed persons, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/arbejdsloese). , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/long-term-unemployed-persons

Documentation of statistics