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Documentation of statistics: Labour Costs for Corporations and Organizations

Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Labour Costs for Corporations and Organizations 2024 , Previous versions, Labour Costs for Corporations and Organizations 2023, Labour Costs for Corporations and Organizations 2022, Labour Costs for Corporations and Organisations 2021, Labour Costs for Corporations and Organizations 2020, Labour Costs for Corporations and Organizations 2019, Labour Costs for Corporations and Organizations 2018, Labour Costs for Corporations and Organizations 2017, Labour Costs for Corporations and Organizations 2016, Labour Costs for Corporations and Organizations 2015, Labour Costs for Corporations and Organizations 2014, Labour Costs for Corporations and Organizations 2013, The purpose of the statistics of total labour costs for corporations and organizations is to monitor trends and the level of the total labour costs broken down by industry, occupation and main components. The statistics on total labour costs are published once every year and are used to compare the total labour costs across industries and occupations., Statistical presentation, The labour costs for the private sector is published for 9 of the main class of industries in addition to 9 different types of occupation. Data on earnings are obtained from the annual structure of earnings survey for the private sector, which is based on a full-scale survey comprising business enterprises with more than 10 full-time employees, while other labour costs are based on a special sample survey for enterprises with 10 or more employees, also including apprentices and employees under the age 18. The labour costs comprise each employee's total earnings in connection with his/her job and other labour costs that are not considered to be an income for an employee., Read more about statistical presentation, Statistical processing, Data concerning the employees' earnings and wage are collected for each individual employee, while data on the other costs of the enterprise is collected at the level of the enterprise. Other labour costs are distributed on to the employees on the basis of a distribution formed by regulation and logical reasoning. The total labour costs per employee is calculated as the sum of all wages and the sum of other labour costs divided by the number of employees., Read more about statistical processing, Relevance, The labour costs are used by enterprises to compare costs associated with having people employed, with the costs of other enterprises with similar type of employees. The comparison is often done within a certain branch of economic activity or for a certain type of work. In addition, the statistics can be used to compare labour costs across EU-member countries. , Read more about relevance, Accuracy and reliability, The statistics are based on information about both earnings and other labor costs. Earnings account for the vast majority of total labor costs. The other costs mainly include mandatory contributions. Data is collected from a sample of companies with more than nine employees, and almost all submissions are included in the final statistics, which are only published with final figures, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once every year around august. There are normally no delays in publishing the statistics., Read more about timeliness and punctuality, Comparability, Due to changes in the compilation method, comparisons with statistics prior to 2014 are not possible. Owing to the fact that labour costs since 2002 are distributed per employee and not per enterprise as previously done, comparisons with statistics compiled before 2002 is not possible. Also, the statistics on labour costs for 1997-2001 are only to a limited extent comparable to those before 1997, which has to do with the application of a new method starting from 1997., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the StatBank under the subject , Labour costs, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-costs-for-corporations-and-organizations

Documentation of statistics

Documentation of statistics: Children and young persons placed outside own home

Contact info, Personal Finances and Welfare, Social Statistics , Siri Dencker , +45 21 45 34 92 , SEN@dst.dk , Get documentation of statistics as pdf, Children and young persons placed outside own home 2025 , Previous versions, Children and young persons placed outside own home 2024, Children and young persons placed outside own home 2023, Children and young persons placed outside own home 2022, Children and young adults in out-of-home care 2021, Children and young persons placed outside own home 2020, Children and young persons placed outside own home 2019, Children and young persons placed outside own home 2018, The statistics shed light on the activities of municipal authorities regarding placements outside the home., The statistics are used to account for the scope of placements of children and young people outside their own homes. The statistics are comparable from 2011 onwards., Statistical presentation, Starting from the autumn 2025 release, the statistics will be published twice a year — as of 30 June and 31 December. The publication as of 30 June will include data on municipal placements and residential care, presented by the number of placed children and young people. The annual publication as of 31 December will include data on municipal placements and residential care, presented by both the number of placed children and young people and the number of initiated placements and residential care arrangements. The statistics are broken down by region/municipality, type of measure, type of placement, reason for placement, age, and sex., The statistics are published in the StatBank and in NYT from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data for these statistics are continually collected from the administrative municipalities. The collected data is then subjected to a meticulous validation process in cooperation with the municipalities. All of the municipalities receive feedback sheets, representing the scope and nature of the reported data, which need to be approved by the municipalities. Data is subsequently gathered in an incident register which forms the basis for a creation of a progress register and a status/stock register., Read more about statistical processing, Relevance, The statistics are used by municipalities, provinces, ministries, the media, researchers, private individuals and organizations. The statistics are used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Data is reported from the municipalities' administrative systems, which are used for case processing. There may be errors or omissions in the reports, or reports may be missing altogether. The municipalities approve an annual status prior to publication of the statistics. In this context, municipalities are requested to correct any errors and deficiencies., Changes in placements are generally underestimated because the changes are only indirectly approved by the municipalities based on the reported placement status., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 6 months after the end of the reference period. The statistics are published without delay according to the scheduled release date. , Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2011 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, , Nyt fra Danmarks Statistik, . The figures are also published in Statbank Denmark in , Disadvantaged children and young people, Further information can be found at the webpage of the statistics , Udsatte børn og unge, or by contacting Statistics Denmark directly., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/children-and-young-persons-placed-outside-own-home

Documentation of statistics

Documentation of statistics: Ownership of agricultural land in Denmark

Contact info, Food Industries, Business Statistics , Karsten Larsen , +45 21 29 55 76 , kkl@dst.dk , Get documentation of statistics as pdf, Ownership of agricultural land in Denmark 2024 , Previous versions, Ownership of agricultural land in Denmark 2020, The purpose of the statistics Ownership of agricultural land is to show how the Danish agricultural land is distributed by nationality of the owners. , Statistical presentation, The statistics show on an annual basis the number of owners and how the ownership of Danish agricultural land is distributed by the nationalities of the owners, regions, type of owner, gender, age and size., Read more about statistical presentation, Statistical processing, The IACS register (Integrated Agricultural Control System) The General Land Register is merged with the Owner Register. For personal identification numbers, citizenship is found via the Personal Register. For business ownership, the CVR is used for real and legal owners. If there are only legal owners, data from Eurostat's group register is supplemented, whereby the owner's nationality can be determined. For foreign owners, the country of residence is used as the country code. The owners can be both private individuals and companies., Read more about statistical processing, Relevance, The statistics meet a need, particularly from the Ministry of Food and Agriculture, to know the extent of Danish agricultural land in foreign ownership. The statistics are also expected to be of interest to political parties, the industry and the public in general., Read more about relevance, Accuracy and reliability, The statistics cover all agricultural land in Denmark for which crop subsidies have been applied for. Very little agricultural land is cultivated in Denmark for which area support is not applied for. The source data for the statistics are obtained from the General Agricultural Register (GLR), which is also used as a source in the Agricultural and Horticultural Census, and covers virtually all agricultural land in Denmark, and is considered a reliable source. The cadastral register overlaid on the applied plots of land is considered to be of high quality. However, the comparison of field maps and the cadastre gives rise to some choices of cadastres/plots for the statistics. For ownership by persons, citizenship is considered to be of very high quality. Information on ownership from the CVR when it is persons or real owners is considered to be of good quality. Supplement with data from Eurostat's group register are made., Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published 4-5 months from the reference time December 31. , Read more about timeliness and punctuality, Comparability, The statistics are comparable with the farm structure survey, but the figures for the agricultural area are not exactly identical in the two statistics. This is due to fact that the statistics include all land cultivated by farmers applying for crop subsidies whereas the farm structure survey as main rule only include farm of at least 5,0 hectares. The units in the two statistics are not the same. The statistics on ownership of agricultural land includes the landowners which could be farmers men not necessarily are., Read more about comparability, Accessibility and clarity, These statistics are published in Statbank Denmark and the News letter "Nyt fra Danmarks Statistik" (in Danish only),, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ownership-of-agricultural-land-in-denmark

Documentation of statistics

Documentation of statistics: SME Access to Finance

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

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: International Trade in Goods by Enterprise Characteristics

Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Goods by Enterprise Characteristics 2022 , Previous versions, International Trade in Goods by Enterprise Characteristics 2021, International Trade in Goods by Enterprise Characteristics 2019, International Trade in Goods by Enterprise Characteristics 2018, International Trade in Goods by Enterprise Characteristics 2017, The purpose of Trade in Goods by Enterprise Characteristics (TEC) is to describe enterprises engaging in foreign trade, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2010 are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Goods by Enterprise Characteristics is an annual measurement of enterprises involved in foreign trade and their characteristics, stated in number of enterprises and value. The statistics are grouped by economic activity, enterprise size, partner countries, ownership, type of trade and concentration of trade until 2022. From 2023 the statistics will be a measurement of enterprises involved in foreign trade and their characteristics, stated in value and they will be grouped by economic activity, items, enterprise size and ownership. The statistics can be found in our statbank under the subject External Economy. , Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in Goods (ITGS) with Business register data. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, These statistics are relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to external trade in Denmark., Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Goods by Enterprise Characteristics is closely related to the accuracy of International Trade in Goods Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Goods Statistics., There may be changes in enterprise characteristics (e.g. size, industry and ownership) during a given year, which can give rise to a change the trade flows, but the statistics reflect the characteristics at the end of the year., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, These statistics have been disseminated since 2014 and contains values from 2010 and onwards. It is in its present form comparable from 2010 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other EU countries published by Eurostat. The comparability can be influenced by the difference between the general- and special trade system., Read more about comparability, Accessibility and clarity, These statistics are published annual 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 , International Trade in Goods, . The statistics can also be found in various publications and analysis’ and it is possible to gain access to microdata through our program for authorized research institutions., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-goods-by-enterprise-characteristics

Documentation of statistics

Documentation of statistics: General Enterprise Statistics

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, General Enterprise Statistics 2024 , Previous versions, General Enterprise Statistics 2023, General Enterprise Statistics 2022, General Enterprise Statistics 2021, General Enterprise Statistics 2020, General Enterprise Statistics 2018, General Enterprise Statistics 2017, General Enterprise Statistics 2016, General Enterprise Statistics 2015, General Enterprise Statistics 2014, General Enterprise Statistics 2013, General Enterprise Statistics 2012, The purpose of the statistics is to give a coherent and consistent description of the Danish business structure at the enterprise level., The General enterprise statistics, which were compiled for the first time for the year 1999, have replaced the Enterprise statistics produced for the years 1992-1999. , Statistical presentation, The General enterprise statistics covers real active enterprises in Denmark yearly. It contains economic and employment information concerning all sectors and industries. The General enterprise statistics is communicated in NYT from Statistics Denmark (in Danish) and via the StatBank. , Read more about statistical presentation, Statistical processing, The Statistics are collected yearly, and are based on internal registers in Statistics Denmark. Primarily the Statistical Business Register and the Account statistics. The sources are compiled an aggregated to the level of publication. There is a minimal error detection and treatment done, since the statistics mainly is based on final data from other statistics and registers., Read more about statistical processing, Relevance, The statistics is relevant for analysis of the Danish business development and structure., Users of the statistic are government agencies, corporate agencies, Eurostat, regions, counties as well as private enterprises and private persons., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations. The possible uncertainties of the statistics are associated with the quality of the sources of the statistic. Especially Accounts Statistics for Non-Agricultural Private Sector., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 18 months after the end of the reference year. The statistics is published without delays regarding scheduled release times. From the reference year 2016 the statistics is published with preliminary data 10 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The General enterprise statistics covering only private enterprises excluding agriculture can be compared to the national published Account statistics for enterprises. The statistics is also published annually by Eurostat under the name "Business Statistics"., Read more about comparability, Accessibility and clarity, Current publication: News from Statistics Denmark (only Danish), The Danish StatBank, Statistical Yearbook and The statistical decade (only Danish), Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/general-enterprise-statistics

Documentation of statistics

Documentation of statistics: Production of Compound Feed

Contact info, Food Industries , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Production of Compound Feed 2023 , Previous versions, Production of Compound Feed 2022, Production of Compound Feed 2021, Production of Compound Feed 2018, Production of Compound Feed 2017, Production of Compound Feed 2016, Production of Compound Feed 2014, The purpose of the statistics is to shed light on the quantitative production of compound feed for livestock, as well as to calculate the total quantities of grain and feed materials used in compound feed. Feed materials are eg. oats or soybeans. The statistics shows which type of feed mixes are produced the most, and the development of feed mixes over time. The total quantities of compound feed and feed materials are used for calculations of The Economic Accounts for Agriculture (EAA). The statistics has been compiled since 1968, but in its current form is comparable from 1990 onwards., Statistical presentation, The statistics is an annual statement of compound feed production and feed materials used in compound feed calculated in millions. kg. Feed production is calculated for the calendar year and for various feed mixes for cattle, pigs, poultry and other livestock species. , Read more about statistical presentation, Statistical processing, Data is first checked by comparing individual reports with reports from previous periods. When the data collection is finished, the data is checked for errors on a macro level, for example by comparing with the development in the cattle and pig populations. In 2022, the data collection and data processing for The content composition of compound feed (FBL) was restructured so that the collection became identical to Production of compound feed (PAF). The rearrangement of FBL leads to a data breach in FODER2 from 2022, as there is no longer direct comparability. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the volume growth in the production of compound feed. Moreover, it is an input to the Economic Accounts for Agriculture. , Read more about relevance, Accuracy and reliability, The overall reliability is good. The statistics covers the production of compound feed by the Danish agribusiness companies alone. Directly imported compound feed and feed made by farmers are not included in the statistics. In 2022, the data processing for FBL was restructured, so that the collection became identical to Production of compound feed. The change entails a data breach in FODER2 from 2022. The old enumeration method has led to a certain overestimation of the use of some of the feed materials in compound feed., Read more about accuracy and reliability, Timeliness and punctuality, From 2023, the statistics will only be published once a year in the month of May in connection with the publication of the national Economic Accounts for Agriculture (EAA), almost 6 months after the reference time., Read more about timeliness and punctuality, Comparability, There is full comparability in data back to 1990 in the table FODER3. The overall main groups are comparable back to the start of the statistics in the operating year 1968/69. As regards to The content composition of the compound feed (FBL), which is published in FODER2, there is full comparability from 1992 to 2021. In 2022, the data collection and data processing for FBL was realigned. The change entails a data breach in FODER2 from 2022, as there is no longer complete comparability in the use of the feed materials and hence the quantities of single feed substances., Read more about comparability, Accessibility and clarity, These statistics is published in the StatBank under , Foder, gødning og pesticider, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-of-compound-feed

Documentation of statistics

Documentation of statistics: Corporate Taxation

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2023 , Previous versions, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are 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 among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, The statistics are published annually in a Danish press release. In the StatBank the figures are published under , Corporation taxation, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

Documentation of statistics

Documentation of statistics: Employee Trade Unions

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Employee Trade Unions 2024 , Previous versions, Employee Trade Unions 2023, Employee Trade Unions 2022, Employee Trade Unions 2021, Employee Trade Unions 2020, Employee Trade Unions 2019, Employee Trade Unions 2018, Employee Trade Unions 2017, Employee Trade Unions 2016, Employee Trade Unions 2015, Employee Trade Unions 2014, Employee Trade Unions 2013, The purpose of the statistics is to compile aggregated annual statistics showing the number of members of employee organisations with attachment to the labour market. The statistics been complied since 1994, but is in its current form comparable from 2007 and onwards. , Statistical presentation, The statistics provide an overview of the number of members of employee organisations with attachment to the labour market i.e. excl. trainees, retirees, early retirees and self-employed. The statistics are grouped by central organisations/individual organisations and gender. The statistics are published annually and disseminated in the newsletter Nyt fra Danmarks Statistik and in the StatBank., Read more about statistical presentation, Statistical processing, These statistics are based on annual reports from employees' organisations on the number of members attached to the labour market per December 31. Data are typically validated by comparing the current year’s reporting with that of previous years for each organisation. As of the reference date 31 December 2023, total membership figures are also reported for each organisation. These totals are then compared with the reported number of members with labour market affiliation per organisation to ensure consistency., Read more about statistical processing, Relevance, Users of the statistics are typically employee and employer organisations, researchers and the media. No dissatisfaction has been expressed with the statistics., Read more about relevance, Accuracy and reliability, The statistics are based on reports from Central Employee Organisations and other employee organisations. Not all employee unions are able to calculate the precise figures exclusive members not attached to the labor market, i.e.. students, early retirees and pensioners, and self-employed. The data are therefore believed to be a little overestimated for some organisations. On the other hand, there may be small employee organisations that are not included. The data are normally not revised, but if errors are detected they are corrected back in time as far as possible. Although participation in the statistics is voluntary, all employee organisations appear to submit data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4-5 months after the reference date. , The statistics are usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled (without data breach) since 2007. Minor breaks in the time series may occur when employee organisations change their reporting methods. For example, the previously observed sharp decline in membership figures for some organisations (mainly those under LO) from 2011 to 2012 was due to the inclusion of members without labour market affiliation in earlier reporting. However, this decline has been addressed as of the publication on 19 May 2025, by revising the reported figures downwards for the period 2007–2011., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release (Nyt fra Danmarks Statistik) at the same time as the tables are updated in the StatBank. In the StatBank, the statistics ca be found under the subject , Trade unions, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employee-trade-unions

Documentation of statistics