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Documentation of statistics: Local Government Personal Income Taxation and Church Tax

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Local Government Personal Income Taxation and Church Tax 2026 , Previous versions, Local Government Personal Income Taxation and Church Tax 2025, Local Government Personal Income Taxation and Church Tax 2024, Local Government Personal Income Taxation and Church Tax 2023, Local Government Personal Income Taxation and Church Tax 2022, Local Government Personal Income Taxation and Church Tax 2021, Local Government Personal Income Taxation and Church Tax 2015, Local Government Personal Income Taxation and Church Tax 2014, The purpose of Local government personal income taxation and church tax is show the development of these taxes as well as land tax. The tax rates are decided by the local governments by the 15th of October the year before the relevant income year. The Statistics was first time published in 1927, but in its current form the statistics covers and is comparable from 2007., Statistical presentation, The statistics show the development in local government personal income tax, church tax and land tax rates as determined by the local authorities in each municipality. The figures are compiled annually at the municipal level, and weighted averages are calculated for regions and for the entire country. The statistics are published in the StatBank., Read more about statistical presentation, Statistical processing, The statistics is based on reports from the local authorities to the Ministry of the Interior. The published budget figures also form the basis for the amount of advance payments transferred from the central government to the municipalities. The collected material is validated against last year’s data as well as information regarding which municipalities have changed their tax rates. There are no further corrections of data., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have no sources of statistical uncertainty of importance. This is because local government income taxes is determined by a financial agreement between Local Government Denmark (KL) and the government. Afterwards, both KL and the Ministry of the Interior check and verify the numbers. It is not allowed to make changes the foundation for the local government income taxes once it have been approved, which is also why there are no revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of November in the year before the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics was published for the first time in 1927. However, changes to both the municipality as well as country structure makes the comparison across time difficult. The current structure makes it possible to compare from 2007 and onwards. The taxation systems differ widely across countries, which makes the geographical comparison difficult based on national sources because of concept and calculation differences., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Taxes and duties, . For further information, go to the subject page for , Taxes and duties, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/local-government-personal-income-taxation-and-church-tax

Documentation of statistics

Classification on education (DISCED-15), completed educations, v1:2018

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2018 , 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, 2018 , Valid to: , January 31, 2019 , Office: , Population and education , Contact: , NHD , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=62f56e2b-ff29-4f2c-a1e1-7ec604c94b27

Documentation of statistics: Milk and Dairy Products

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Milk and Dairy Products 2025 , Previous versions, Milk and Dairy Products 2024, Milk and Dairy Products 2023, Milk and Dairy Products 2022, Milk and Dairy Products 2021, Milk and Dairy Products 2020, Milk and Dairy Products 2019, Milk and Dairy Products 2018, Milk and Dairy Products 2017, Milk and Dairy Products 2016, Milk and Dairy Products 2015, Milk and Dairy Products 2014, The statistics are used to describe the purpose of the statistics on milk and dairy products is to illuminate the size and value of the milk production on the farms and the use of milk for dairy products. The statistics on milk and dairy product have a long history and the key figures covering the past 100 years are comparable. The statistics in their present form are comparable from 1990 onwards., Statistical presentation, The statistics on milk and milk products are a monthly and annual estimate of the total milk production of farmers. The delivered amount of milk on the dairies and the dairies' primary use of the milk weighed in and the production of a variety of fresh and processed dairy products as drinking milk and cheese. The statistics also contain data on organic milk delivered to dairies and the production of organic whole milk products for human consumption, butter and cheese. Every month data are transfer to Euro stat. , Read more about statistical presentation, Statistical processing, Data is collected monthly on milk and dairy products. Data comes primary from administrative records. The data received is checked for completeness and consistency, as well as consistency with previous periods. , Read more about statistical processing, Relevance, The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on milk and dairy product are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is compulsory for dairies to register and report the milk weighed on the dairies and the dairy production to the Central Milk Register. This is the basis for settlement to farmers, which is therefore expected to be measured accurately. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated after payment, which is only realized after the end of the dairy year and can thus cause uncertainty about the accrual. The estimate of the consumption of milk at farms and consumption for feed is estimated after consultation with the Dairy Association., Foreslå en ændring, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every month. For a specific month it will be published 1½ month after the end of the month concerned. A more detail year statistics will be publish ½ year after the end of the year concerned. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Long time series data can be compiled. Every month and year are delivered data to Euro stat. Similar data for some of the variables are available for the EU member states at Euro stats homepage., Read more about comparability, Accessibility and clarity, New month figures are published in Statbank , ANI71: Milk production and use of milk by unit (month), and yearly figures , ANI7: Milk production and use of milk by unit, . Annual figures are included in Statistical Yearbook and Statistical Ten-Year review., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Retail Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Retail Trade, by Goods 2012 , Previous versions, The purpose of the analysis is to shed light on the turnover structures of retail trade. Surveys have been conducted for 1998, 2002 and 2007, and the results from which have been published in Statistical News, in the series Service Industry, 1999:24, 2003:65 and 2008:25, respectively., Statistical presentation, The statistics provide data on the structure of retail trade turnover, industry turnover breakdown by product groups as well as product group retail sales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Retail Trade. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within retail trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within retail trade, as the results may allow them to compare their own business to their sector of trade or the retail trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 1998, 2002, 2007 and 2012. Since the 1998 survey, changes have been made in both calculation method and industry and product group nomenclatures. , Comparisons across reference years should be done with caution and taking into that statistical nomenclatures and methods have changed., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade--by-goods--discontinued-

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Technical Testing and Analysis

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Technical Testing and Analysis 2023 , Previous versions, Business Services in the Sector for Technical Testing and Analysis 2019, Business Services in the Sector for Technical Testing and Analysis 2017, Business Services in the Sector for Technical Testing and Analysis 2015, Business Services in the Sector for Technical Testing and Analysis 2013, The purpose of the statistics Technical testing and analysis is to provide information on turnover and types of services in enterprises with Technical testing and analysis as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). , The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2003. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Technical testing and analysis. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector., The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every second year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-technical-testing-and-analysis

Documentation of statistics

Documentation of statistics: Detailed material flow accounts (physical supply-use tables)

Contact info, National Accounts, Climate and Environment, Economic Statistics , Ole Gravgård Pedersen , +45 30 89 28 39 , OGP@dst.dk , Get documentation of statistics as pdf, Detailed material flow accounts (physical supply-use tables) 2020 , Previous versions, Detailed material flow accounts (physical supply-use tables) 2018, Detailed material flow accounts (physical supply-use tables) 2016, The purpose of the detailed material flow accounts is to shed light on the type and quantity of all materials linked to industries, private and government consumption, etc. , The accounts can be used for analysis of the physical proportions of resource use, output of goods and residuals, external trade, etc. Thereby they give information, which are useful in relation to analysis of circular economy, etc. , The accounts are available for 2018 and 2020. Not all data are fully comparable across the two years due to changes in data sources and introduction of new methods., Statistical presentation, The accounts present information about flows of natural resources, goods and residuals (waste and emissions to air, etc.) measured as tonnes per year. The accounts include all type of materials, which are used or supplied. , The flows are recorded by industries and other categories, e.g. extraction from nature, imports, exports, private and government consumption, emissions to the environment, etc. , The accounts are balanced, which means that the quantity of materials used by an industry equals the quantity of materials, that leaves the industry as sold products and residuals. , Read more about statistical presentation, Statistical processing, The accounts are based on several sources, for instance, International Trade in Goods, Purchases by Manufacturing Industries, National accounts, and Environmental-Economic Accounts supplemented by data from e.g. the Danish Environmental Protection Agency and websites and organizations and companies., The primary data are processed and supplemented by estimations and allocations, after which they are organised in a so-called physical supply-use table. Finally, this table is adjusted in such a way that supply equals use., Read more about statistical processing, Relevance, The accounts are of relevance to all, who are interested in information about those physical material flows that take place in relation to the Danish economy. It can be used as a basis for analysis of the circular economy, e.g. for analysis of which industries that use or produce certain types of materials. , Read more about relevance, Accuracy and reliability, In general it can be assumed that there are less uncertainties associated with data obtained directly from primary statistics, while data that results from estimations and allocations will be associated with more uncertainties. , The balancing item, which is represented in the accounts, is to some extent a result of inaccuracies related to other items in the accounts. However, it cannot directly be used as a measure of the uncertainties, since it may also reflect other special relations., No estimations of the magnitude of the uncertainties have been made. , Read more about accuracy and reliability, Timeliness and punctuality, The accounts for 2020 have been published 4 years and three months after the end of the reference year (2020). The accounts are published without delay compared to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The accounts are available for 2020 and 2018, and in an earlier version for 2016. The versions are not fully comparable due to changes in source data and methods. , This type of accounts is - as far as we know - only available for the Denmark and the Netherlands, but with different classifications. Thus, it is not possible to make direct international comparisons. , For certain items it is possible to compare over time and with other countries by looking at the primary data that lie behind the accounts., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Detailed material flow accounts, . Selected items from the accounts are published in Danish publications., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/detailed-material-flow-accounts--physical-supply-use-tables-

Documentation of statistics

Documentation of statistics: Waste Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Waste Accounts 2023 , Previous versions, Waste Accounts 2022, Waste Accounts 2021, Waste Accounts 2020, Waste Accounts 2019, Waste Accounts 2018, Waste Accounts 2017, Waste Accounts 2016, Waste Accounts 2015, Waste Accounts 2014, Waste Accounts 2013, Documents associated with the documentation, affaldsfraktioner_oversigt_ny3 (pdf) (in Danish only), The purpose of the Waste Accounts is to provide insight into how much waste is generated in different parts of the economy, what types of waste exist, and how it is treated. The accounts also include imports and exports of waste. The Waste Accounts have been published since 2015, based on data from the Danish Environmental Protection Agency. The Waste Accounts is a part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, Waste accounts measure the amounts of generated waste distributed to 117 industry groups. Within the industry groups, waste is distributed according to categories and forms of treatment. Imports and exports of waste are distributed according to form of treatment and waste category. The waste accounts are published annually and disseminated through a press release and tables in the StatBank., Municipal waste by municipality, treatment form and waste type is compiled for the first time in 2023., Read more about statistical presentation, Statistical processing, Waste data are validated in the Danish Environmental Protection Agency before Statistics Denmark receives them. The data processing in Statistics Denmark primarily concerns the detailed and complete distribution of the waste to the 117 industry groups of the Green National Accounts., Read more about statistical processing, Relevance, Waste accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in waste, resources, economic-environmental interactions, the circular economy etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The quality is good concerning the figures for total amounts of waste as well as the amounts for different forms of treatment. However, the distribution by waste fractions become more uncertain at more detailed levels, due to measurement errors (in the reporting)., The detailed distribution according to industry groups is subject to uncertainty, both in the source (ADS) and in the assumptions made in the distribution of waste to detailed industry groups. , Waste by individual municipalities is less precise than totals for the municipality groups due to waste from one municipality being treated at a facility in a different municipality, or waste stations being used by inhabitants of several different municipalities etc., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 21 months after the end of the reference period. The long production time is due to the dependency on data from the Danish Environmental Protection Agency. The statistics are normally released on schedule without delay., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Waste Accounts are unchanged throughout the period covered by published figures. International comparison is possible with all other waste accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Waste Accounts, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Electricity and natural gas prices

Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , OLO@dst.dk , Get documentation of statistics as pdf, Electricity and natural gas prices 2025 , Previous versions, Electricity and natural gas prices 2024, Electricity and natural gas prices 2023, Electricity and natural gas prices 2022, Electricity and natural gas prices 2021, Electricity and natural gas prices 2020, Electricity and natural gas prices 2019, Electricity and natural gas prices 2018, The statistics shows prices of natural gas and electricity, within break downs into size groups of consumers, business and household respectively. Prices are shown, without and with taxes and VAT. The prices are to be comparable across EU countries for the benefit of a well functioning single market. The statistics has been compiled since 2007 in the present way., Statistical presentation, Natural gas and electricity prices are overall compiled for household customers and business customers, in practice consumers which are non-households. The prices are compiled for the customers broken down use per year. Some price elements are very depending of the amount of use. Prices are compiled biannual in four levels: Price at energy company, Price incl. supply, Price incl. non-recoverable taxes, 3. Prices including all taxes and VAT, as the final price are composed of several elements. The main collection and compiling of data is done by the Danish Energy Agency. , Read more about statistical presentation, Statistical processing, The data is collected from sales companies. Furthermore, public available information from distributers isused , supplemented by actual fees and taxes plus schemes for recovering. Some elements in the prices are partly based on estimates and not registered payments. The collected prices on energy plus information from distributers and the Tax authority on tariffs, taxes and VAT, respectively, are compiled to fulfill the definitions on the four price levels., Read more about statistical processing, Relevance, Natural gas and electricity costs are important to most citizens and enterprises and also in regards to the competitive situation among EU countries. Therefore, it is relevant with reliable, transparent and comparable price statistics at important energy product., Read more about relevance, Accuracy and reliability, The product prices for electricity and natural gas are based on a total census. However, there may be uncertainty in the composition of different data components, as they do not always follow the same groupings. Payments on account may result in minor accrual shifts in natural gas prices. In addition, distribution costs may be difficult to calculate precisely in relation to the actual average deliveries to customers. The statistics are based on certain model assumptions, including the behavior of companies eligible for reimbursement and households' use of electric heating. Overall, however, the uncertainty is assessed to be low, and any errors or deviations are corrected on an ongoing basis., Read more about accuracy and reliability, Timeliness and punctuality, The results have to be compiled three month after end of reference period, i.e. end of March and end of September, respectively., Read more about timeliness and punctuality, Comparability, The results are fully comparable over time from 2015 and onwards. For previous years there are also high comparability, in particular for largest size groups (non-households). Prices since 2007 are in Eurostats databank., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Energy prices, . See also the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/electricity-and-natural-gas-prices

Documentation of statistics

Documentation of statistics: Bachelor and long cycle higher education

Contact info, Population and Education, Social Statistics , Nanna Maria Kerlauge , +45 61 63 06 57 , nml@dst.dk , Get documentation of statistics as pdf, Bachelor and long cycle higher education 2024 , Previous versions, Bachelor and long cycle higher education 2023, Bachelor and long cycle higher education 2022, Bachelor and Long-Cycle Higher Education 2021, Bachelor and Long Cycle Higher Education 2019, Bachelor and Long Cycle Higher Education 2018, The statistics about bachelor and long-cycle higher educations describe activity on bachelor and long-cycle higher educations in Denmark. Bachelor and long-cycle higher educations are defined from Statistics Denmark's education classification DISCED-15 as all educations classified on level 60 and 70. The levels in DISCED-15 for higher education are classified according to the main fields regulated by law. Bachelor and long-cycle higher educations are typically 3 and 2 years in duration. Bachelor and long-cycle higher educations statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on bachelor and long-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark has drawn up standards for reporting formats, validation and error searching in cooperation with the system supplier STADS, who is in charge of the administrative systems on the universities. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on bachelor and long-cycle higher education have been made further back than this. , Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Bachelors, and , Long-cycle higher education, . For further information, see the homepage of , Bachelors, and , Long-cycle higher education, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/bachelor-and-long-cycle-higher-education

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