Search result

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

Media usage

Where do I find statistics on the use of media?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., At Statistics Denmark’s subject page , “Digital behaviour”, , you will find statistics on e-commerce and access to computer and internet by household type as well as a link to scheduled releases, such as the survey “ICT usage by households”. The results of the survey are published in a , publication,  (in Danish) and in tables in , StatBank Denmark, . Statistics Denmark take up special topics from the survey in their newsletter series “Nyt fra Danmarks Statistik” (in Danish): , "It-anvendelse i befolkningen",  - most recently on the use of social media: , "Danmark bruger sociale medier mest i EU", (in Danish). Other thematic articles were published in the now completed series, "It-anvendelse i befolkningen (tema)", (in Danish)., Surveys on the Danes' cultural habits have been made at regular intervals since 1964. The surveys give you details on the consumption of e.g. TV, radio, magazines, books and internet. Tables from the Cultural habits survey are available in StatBank Denmark under , "Cultural and recreational activities",  as well as under the individual subjects. The news series , "Nyt fra Danmarks Statistik”,  (in Danish) ,  takes up special themes from the survey , ., Publications (in Danish) from former surveys are published by , The Ministry of Culture Denmark, ., Statistics Denmark also releases a number of cultural statistics on e.g. the production of books, readership for newspapers and specialised magazines, audience ratings for flow TV, radio listening time and cinema ticket sales. The statistics are gathered in the annual publication , “Kultur",  (in Danish) and can also be found in , StatBank Denmark, Each year, the Ministry of Culture Denmark, publishes a , ”Report on media development in Denmark”, , which deals with the supply and use of TV, radio, newspapers and internet. , Furthermore, the ministry publishes a series of , special reports, in connection with the annual report. Based on the survey, the ministry also publishes brief news: , "Kort nyt", (in Danish) on e.g. the use of streaming services and podcasts., Each year, the research unit of the Danish Broadcasting Corporation, , DR Medieforskning, , issues a report on the development in the population’s use of electronic media. It involves e.g. the development in TV and radio consumption, including streaming of TV and music., The annual reports, , årsrapporter, (in Danish), of the Book Panel (under the Danish Agency for Culture and Palaces) document developments in the Danish book market, including the production, distribution and consumption., Where do I find statistics on the use of media by children and young people?, Reports by the Ministry of Culture Denmark that have to do with , ”Media development in Denmark”,  contain tables broken down by the age group 12-18-year-old persons., In 2022, , DR Medieforskning, assessed daily screen time in minutes of 3-8-year-olds, 9-14-year-olds and 15-24-year-olds on traditional TV and streaming., In 2022, the Media Council for Children and Young People has published the study , "Småbørns brug af digitale medier",  (in Danish) with information on the media use of 0-6 year-olds., In their analysis , "Børn og unges trivsel og brug af digitale medier", (in Danish) from 2020, VIVE compares various Danish and international surveys on e.g. children’s screen time., A survey of schoolchildren from 2018, , ”Skolebørnsundersøgelsen 2018” , (in Danish), contains a section on e.g. use of TV and computers. As part of the survey, the children were asked about their different types of screen activities (film, TV series, YouTube, games, social media, video conversations and online surfing), and how much time they usually spent on various recreational activities during the day., The survey of school-aged children is prepared as our contribution to an , international alliance of researchers, working with health behaviour in school-aged children. Because of this, it is possible to compare the results with those of other countries, as it has been done e.g. in the article , ”Børn i Danmark ser deres venner meget mindre i forhold til børn i de fleste andre europæiske lande”, (in Danish), in which you can read that Danish boys hold the European record in time spent at the computer and that Danish children see their friends a lot less than children in most other European countries., In , "Børns digitale liv",  (2023) (in Danish), published by Algoritmer, Data & Demokrati, the children themselves answer questions about their well-being, security and concerns when using digital media., [This page was last reviewed in August 2023]

https://www.dst.dk/en/informationsservice/oss/mediebrug

Eating habits and food waste

How are the meal and eating habits in Denmark? , How many are vegetarians? How much food is wasted in Denmark?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., In Statistics Denmark’s StatBank Denmark, you will find a table from the Household Budget Survey on ", Household average consumption by group of consumption and price unit, " that allows you to see the Danish consumption in DKK on various foods and drinks, e.g. coffee., The National Food Institute under the Technical University of Denmark (DTU) runs surveys on dietary habits in Denmark, , nationale kostundersøgelser (DANSDA), (in Danish) - currently , DANSDA 2021-2024,  is in progress., Reports and articles - e.g. on the consumption of meat (2018) and the use of plant-based alternatives to meat and dairy products (2024) - are available via the , institute’s list of publications, (some of which are in English), See also an article comparing sales of sweets, chocolate, soft drinks and squash in Denmark with those in other countries: , Danskerne er verdensmestre i slikindkøb,  (2021) (in Danish), Read more about i.a. dietary supplements and health-promoting substances on the topic page , Nutrition and dietary habits, The National Institute of Public Health (NIPH) has prepared a national health profile “Den Nationale Sundhedsprofil 2021”, which includes information on dietary habits:, The results of the survey are available in a , database, and a , publication, (both in Danish), The Danish Agriculture & Food Council also makes , consumer analyses, (in Danish) – e.g. on the use of cook-at-home meal kits (2023, 2021), convenience foods (2023, 2020) and takeaway (2024, 2018)., Madkulturen is an independent institution under the Ministry of Food, Agriculture and Fisheries of Denmark working to promote a healthy food culture in Denmark. The institution makes annual surveys of the population’s food and meal habits:, The reports, (in Danish) include information on the choice of ingredients, dietary principles and grocery shopping - including the use of cook-at-home meal kits., How many drink coffee, tea, beer, soft drinks or bottled water?, Trade organisations have information on the consumption of different types of drinks:, Coffee:, Dansk Kaffeinformation (Danish coffee information) offers figures on coffee, , Kaffe i tal, , (in Danish) at their website kaffeinfo.dk, Tea:, Terådet (the tea council) provides figures on tea, , Te i tal, (in Danish), at their website teinfo.dk, Beer, soft drinks and bottled water: , The Danish Brewers’ Association, has figures for the separate groups of drinks – as well as for , containers and the deposit system, (in Danish), At Statistics Denmark, you can find information on , sales of alcohol per head,  - disaggregated on beer, wine and spirits.,  , How many are vegetarians? And how many live on a strictly vegan diet?, In 2017-2022, the Danish Vegetarian Association - in collaboration with Coop Analyze - has carried out a , study on the vegetarian environment, in Denmark (in Danish)., How much food is wasted in Denmark?, In Statistics Denmark’s annual survey on ", ICT usage in households and by individuals, “ (summary in English), people were asked e.g. about their use of apps to reduce food waste., See also an article from Statistics Denmark on one in five Danes fighting food waste via apps ", Hver femte bekæmper madspild ved brug af apps, " (in Danish) (August 2022), See , table in StatBank Denmark, The Danish Veterinary and Food Administration (Fødevarestyrelsen) has focus on food waste:, Hvor meget mad spilder danskerne?, (in Danish), One\Third is a think tank on Prevention of Food Loss and Food Waste. The think tank belongs under the Ministry of Food, Agriculture and Fisheries of Denmark and makes surveys on food waste and food loss – e.g. how many packed lunches are thrown out. One of their publications is an analysis of food waste fractions in household waste:, Analyse af madspildsfraktioner i affald fra husholdninger, (in Danish) (September 2022), The Danish Agriculture & Food Councilalso focuses on , food waste, (in Danish), [This page was last reviewed in July 2025],  ,  

https://www.dst.dk/en/informationsservice/oss/spiseva

Documentation of statistics: Consumer Expectations Survey

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Consumer Expectations Survey 2025 , Previous versions, Consumer Expectations Survey 2024, Consumer Expectations Survey 2023, Consumer Expectations Survey 2022, Consumer Expectations Survey 2021, Consumer Expectations Survey 2020, Consumer Expectations Survey 2019, Consumer Expectations Survey 2018, Consumer Expectations Survey 2017, Consumer Expectations Survey 2016, Consumer Expectations Survey 2015, The purpose of the survey is to analyze the consumer climate through questions about the economic situation as perceived by consumers at a given time concerning both the general economic situation in Denmark and the financial situation of the family. The main results are coordinated in the so-called consumer confidence indicator. The Danish surveys have been conducted since 1974. From 1996 data is collected in all 12 months of the year., Statistical presentation, Consumer monthly questions for: financial situation, general economic situation, price trends, unemployment, major purchases and savings. Consumer quarterly questions for: intention to buy a car, purchase or build a home, home improvements., Read more about statistical presentation, Statistical processing, This survey are sample surveys, where a representative sample of persons 16-74 years are asked among other things about the consumer expectations. The results are corrected from the effects of non-sampling and non-response and then enumerated so that the figures can directly be classed with the population of adult persons and families in Denmark. Data are validated using logical validation rules. A seasonal pattern could not be identified in the series and no seasonal adjustment was undertaken., Read more about statistical processing, Relevance, The most important user is the European Commission for Economy and Finances (ECFIN), which receives detailed tables for all questions and publishes seasonally adjusted consumer confidence indicators for all EU member states. The figures are also of great interest to the news media., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65%, which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated ranged within +/- 3 percentage points. A change in an indicator should be greater than 5 percentage points to indicate a significant change., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The questions asked in connection with these statistics in Denmark are also asked in the European Commission's Consumer confidence survey '. The European Commission publishes figures for all EU countries in its database. Eurostat's consumer confidence is based on a slightly different composition of questions than the current one in Denmark. Therefore, the overall consumer confidence indicators calculated in Denmark and in Eurostat are not directly comparable, whereas all sub-indicators are directly comparable. The questions shown in the section 2.01. Data description, have been asked in all the omnibus surveys since 1974. Due to minor changes in the calculation method, an immediate comparison is only possible from 2007 onwards. , Read more about comparability, Accessibility and clarity, The results are published in , News from Statistics Denmark, and , Statbank Denmark, . Further, there is a subject page for , Consumer Expectations, ., After each survey, Statistics Denmark submits detailed tables giving a number of background variables as well as the consumer confidence indicator and net figures to the European Commission, which publishes monthly both seasonally adjusted and not seasonally adjusted indicator and the net figures for each members state (incl. Denmark), at European Commission database: , European Commission database, The access to the more detailed data and Micro-data can be granted through Statistics Denmark's agreement for researchers., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-expectations-survey

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 2025 , Previous versions, 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. Annual figures are included in , Statistical Yearbook until 2017, and , Statistical Ten-Year review, Old data are included in yearly publication , Landbrug, (Explaining, 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: Regional Accounts

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Regional Accounts 2024 , Previous versions, Regional Accounts 2023, Regional Accounts 2022, Regional Accounts 2021, Regional Accounts 2020, Regional Accounts 2019, Regional Accounts 2018, Regional Accounts 2017, Regional Accounts 2016, Regional Accounts 2015, Regional Accounts 2014, Regional Accounts 2013, Regional Accounts 2012, The purpose of regional accounts is to describe the economic activity in the regions and provinces within the framework of national accounts definitions and classifications. The accounts are compiled in accordance with the guidelines set out in ESA2010 and are comparable with regional accounts for other European countries. Regional accounts are published at the NUTS II level (regions) and NUTS III level (provinces). Regional accounts have been compiled since 1999., Statistical presentation, Regional accounts describe the geographical dimension of production and income conditions as these are compiled in the national accounts using the production approach. The regional allocation aims at adding production etc. to the region where production takes place. , Regional accounts contain information on GDP, gross value added, gross fixed capital formation, compensation of employees and employment. Moreover the household sector's incomes are compiled. The regional allocation of the household income is based on the residence of the households and not where the incomes are earned., Read more about statistical presentation, Statistical processing, The statistics are based on regional versions of the national accounts' sources, where this is possible. The main sources are Accounting Statistics for Non-agricultural Private Sector and General Government Finances Statistics. The sources are used either directly or as a distribution key. The regional accounts are revised in line with the publication rhythm of the national accounts. The final figures for the regional accounts are therefore not available until three years after the end of the reference period., Read more about statistical processing, Relevance, National and regional accounts are relevant for all, who deal with economic and regional matters., Read more about relevance, Accuracy and reliability, Regional accounts are subject to the same margins of uncertainty as the annual national accounts and the inaccuracy here relates to the inaccuracy of the various sources used. However, the conceptual consistency and over time uniform adaptation of the sources contribute to reduce the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases reveals errors, which are therefore not reflected in the final national accounts. With regard to the regional dimension the following factors can be mentioned:, Read more about accuracy and reliability, Timeliness and punctuality, First version of regional accounts is published 12 month after the reference year. Final regional accounts are published 3 years after the reference year. Regional accounts have a high degree of punctuality, Read more about timeliness and punctuality, Comparability, Regional accounts are consistent with the national accounts, as the sum of the figures for each region with respect to each individual variable is equal to the national accounts value for the same variables. Consequently, each variable can be interpreted in the same manner as the national accounts variables. Regional accounts are based on guidelines set out in ESA2010 and are thereby directly comparable with other regional accounts from the EU Member States. Consistent time series are available for 1993 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under , National accounts by region, . For further information, go to the , subject page, ., Regional accounts by 38 industries and 11 provinces/5 regions are available (at a charge). Furthermore regional data can be provided (at a charge) for groups of municipalities with a joint population of at least 100.000 inhabitants. In addition GDP and other non-industry data is available for municipalities with a population of at least 10.000 inhabitants., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Performing arts

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, Performing arts 2025 , Previous versions, Performing arts 2024, Performing arts 2023, Performing arts 2022, Performing arts 2020, Performing arts 2019, Performing arts 2018, Performing arts 2017, Performing arts 2016, Performing arts 2015, Performing Arts 2013, The statistic shows the activity at the professional theaters in Denmark. The theaters divided into state-subsidized and non-state-subsidized theaters. Statistics for the state-subsidized theaters have been prepared since the season 1980/1981. Statistics for the non-state-subsidized theaters have been prepared since the 2003/2004 season. Statistics on international guest performances on both state-sponsored and non state-subsidized theaters have been prepared since the 2004/2005 season. In season 2005/2006 was the concert and culture hosted international guest performances also included in the statistics. The figures for the season 2015/2016 are not directly comparable with previous figures as there has been a data break. , Statistical presentation, The statistics show annual seasonal activities, productions, performances, spectators and primary audiences at the state-supported and non-state-supported professional theatres. For each production there is information about genre, theater category, activity, stage and audience group.. For the season 2020/2021 and forward, the statistics have been revised, where the number of categories with regards to theatres, genre and audience group have been expanded. Therefore there has been a data break. Two new tables in Statbank has been developed, SCENE08A and SCENE10A, which are consistent back to season 2015/2016. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from individual theaters via an electronic questionnaire. The collected data is validated for consistency and compared with previous seasons. After validation, the data is aggregated, and imputation is performed for missing responses. Special considerations are taken for extraordinary circumstances, such as closures and restrictions related to COVID-19 during the 2019/2020 and 2020/2021 seasons, as well as to some extent in the subsequent seasons, where additional statistical treatment was necessary., Read more about statistical processing, Relevance, Key users are the Ministry of Culture, government, public and private organizations, researchers and the press. There has not been a user satisfaction., Read more about relevance, Accuracy and reliability, Reporting for the Performing Arts statistic is voluntary. Therefore, the statistics are not fully comprehensive. Several of the non-state-subsidized theaters report that they do not have resources to cooperate in the investigation. Many reporters are small theater producers / project theaters that receive government subsidies to develop a single production. It can be difficult to get reports from some of these reporters. Yet it is estimated that performing arts statistics cover the majority of activities in performing arts, as all large and medium state-subsidized and non-subsidized theaters, participate in the study in each season., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately six months after the end of the season. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the season 1980-81. In connection with the changes to the legislative etc., Regulating aid to the theaters, there may be changes in the population, which can complicate comparisons over time. There has been no comparison of these statistics with similar international surveys., StatBank Denmark contains 3 tables with data that can be returned for the season 1981/1982., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark - in Danish only) and in the StatBank under , Theatre and dramatic art, ., You can also find figures on performing arts in the , Publication on culture, (In Danish only)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/performing-arts

Documentation of statistics

Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform DDP App. Denmark’s Data Portal manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in DDP App, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers and data packages, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Datapackages (pdf - in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

Documentation of statistics: Parental leave benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , AOM@dst.dk , Get documentation of statistics as pdf, Parental leave benefits 2024 , Previous versions, Parental leave benefits 2023, Parental leave benefits 2022, Parental leave benefits 2021, Parental leave benefits 2020, Benefits in connection with childbirth 2019, Documents associated with the documentation, Genudgivelse af barselsdagpengedata for fødselsårgange 2017-2023 (pdf) (in Danish only), The statistics Parental leave benefits in connection with childbirth shed light on the use of the Maternity Act, including equality between mothers and fathers. The statistics have been compiled since 1995, but in 2017 changed data source. Since 2017, data from ATP / Udbetaling Danmark's IT system for the administration of payment of parental benefits in connection with birth, adoption, child illness etc., Statistical presentation, Childbirth allowance annually calculate a parent's year's use of the rights the Maternity Act gives them, and the distribution of parental leave between the father and mother, as well as the number of persons, and days on benefits. Furthermore, the statistics provide the data basis for calculating amounts paid out in connection with childbirth. , Read more about statistical presentation, Statistical processing, The data basis of the statistics is based on a total extraction from 13 central tables in the database for ATP/Udbetaling Danmark's administrative IT system, UDK-Barsel, and a delta extraction from a 14th table, which is very large. Selected variables from the 14 tables are merged into a single table that constitutes a longitudinal register, the Barselsdagpenge Register, with a well-defined record structure. The Barselsstatistik Register is formed by combining the Barselsdagpenge Register with an extract from the Population Register and other Danish Statistics registers., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining agreements. The statistics are included as an important data element concerning analyzes of the productivity of the Danish workforce (economic model calculations), the labor market accounts, the statistics statistics on Public dependents and the absence statistics, Read more about relevance, Accuracy and reliability, The statistics summarize the reports of birth or adoption that have triggered the payment of due to maternity leave. The expectation is that all cases are reported. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated. In order to get a picture of a parent's year's use of the maternity law, it has been necessary to link several registers and set up an algorithm for calculating the parents' entitlement. There is a risk of programming errors here, just as the algorithm rules are a choice., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually three months after the reference year in March-April. March-April is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old. , Read more about timeliness and punctuality, Comparability, The statistics are influenced by local Danish legislation, which makes comparison with similar statistics from other countries difficult. In addition, maternity leave can be calculated in 18 different ways, which is why it requires a good knowledge of the documentation for countries' calculation methods before comparing their figures. At the moment, the statistics cover data for the years 2015-2023, where no data breach has been detected, with the exception that the 1st quarter of 2015 is under-updated, which gives a minor data breach for total counts., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Parental leave benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Contact: Welfare and Health

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Kirsten Hoo-Mi Sloth , +45 24 76 65 67, kms@dst.dk, Executive chief consultant, Executive chief consultant, Hanne Rasmussen , +45 20 58 30 63, hra@dst.dk, Health, disabled people and crime, Chief Adviser, Chief Adviser, Klaus Birch Lundgaard , +45 51 14 62 78, klu@dst.dk, Chief Adviser, Chief Adviser, David Rosdahl , +45 23 84 20 43, dro@dst.dk, Senior Adviser, Senior Adviser, Jonas Ellemand , +45 24 90 74 98, joe@dst.dk, Senior Adviser, Senior Adviser, Peter Krogh , +45 20 15 83 11, ptk@dst.dk, Senior Adviser, Senior Adviser, Line Neerup Handlos , +45 26 64 03 00, lha@dst.dk, Senior Adviser, Senior Adviser, Camilla Østerballe Nielsen , +45 20 28 52 49, cnl@dst.dk, Head of Section, Head of Section, Benedikte Beckman Nygaard , +45 21 19 10 53, bbn@dst.dk, Head of Section, Head of Section, Jonas Kirchheiner-Rasmussen , +45 61 50 23 80, ras@dst.dk, Head of Section, Head of Section, Ferdinand Roesen , +45 21 45 48 43, fer@dst.dk, Senior Head Clerk, Senior Head Clerk, Karsten Werner Nielsen , +45 30 45 69 04, kwn@dst.dk, Senior Head Clerk, Senior Head Clerk, Vibeke Nordrum , +45 24 94 35 52, vno@dst.dk, Senior Head Clerk, Senior Head Clerk, Iben Birgitte Pedersen , +45 23 60 37 11, ipe@dst.dk, Senior Head Clerk, Senior Head Clerk, Claus Østberg , +45 51 79 31 58, coj@dst.dk, Student, Student, Emilia Nielsen , +45 20 31 92 36, edg@dst.dk, Seniors and marginalised adults, Chief Adviser, Chief Adviser, Chris Cornelia Friis Christiansen , +45 23 13 05 91, ccc@dst.dk, Senior Adviser, Senior Adviser, Siri Dencker , +45 21 45 34 92, sen@dst.dk, Head of Section, Head of Section, Sille Amalie Aagaard Kristensen , +45 20 11 52 16, sak@dst.dk, Head of Section, Head of Section, Marie Borring Klitgaard , +45 21 55 83 71, mga@dst.dk, Head of Section, Head of Section, Birgitte Lundstrøm , +45 24 21 39 65, bls@dst.dk, Head of Section, Head of Section, Clara Matilde Møgelmose Larsen , +45 30 45 88 23, cml@dst.dk, Head of Section, Head of Section, Silas Turner , +45 21 54 42 57, str@dst.dk, Senior Head Clerk, Senior Head Clerk, Ramije Idrizi , +45 20 57 99 53, rai@dst.dk, Vulnerable Children and Young Persons, Chief Adviser, Chief Adviser, Sofie Mandrup Hansen , +45 24 43 54 57, sfh@dst.dk, Senior Adviser, Senior Adviser, Jane Christensen , +45 20 58 42 40, jnc@dst.dk, Head of Section, Head of Section, Rasmus Waagø Jacobsen , +45 61 50 93 37, rwj@dst.dk, Head of Section, Head of Section, Johanna Jallberg , +45 20 16 01 71, jjg@dst.dk, Head of Section, Head of Section, Cecilie Katholm , +45 21 45 33 42, cek@dst.dk, Head of Section, Head of Section, Marko Malic , +45 51 70 56 95, mmc@dst.dk, Head of Section, Head of Section, Anne Morsing , +45 21 82 17 60, aem@dst.dk, Head of Section, Head of Section, Jonas Johansen Næsby , +45 29 44 68 24, jjn@dst.dk, Senior Head Clerk, Senior Head Clerk, Bente Ottosen , +45 41 31 74 23, bbo@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=10&tlfbogsort=sektion