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    Documentation of statistics: National Accounts: Fixed Capital Stock

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Benjamin Dahlerup Fazlagic , +45 29 44 68 24 , BDF@dst.dk , Get documentation of statistics as pdf, National Accounts Fixed Capital Stock 2024 , Previous versions, Fixed Capital Stock 2021, Fixed Capital Stock 2021, Fixed Capital Stock 2019, Fixed Capital Stock 2018, Fixed Capital Stock 2017, Fixed Capital Stock 2016, Fixed Capital Stock 2014, The purpose of the statistics is to provide a detailed picture of the economy’s total production apparatus and the part of national wealth that is held in fixed assets. Fixed assets are compiled in accordance with the guidelines in the European System of Accounts, ESA 2010, and are based on the national accounts series for investment. Fixed assets according to ESA 2010 were published for the first time in September 2014., Statistical presentation, The statistics on fixed assets comprise six variables that are compiled both at current prices and in chain-linked values. Exceptions are other changes in the volume of non-financial assets, which are not compiled in chain-linked values, and revaluations, which exist only in current prices. The six variables are: Gross capital stock of fixed assets, Net capital stock of fixed assets, Gross fixed capital formation, Consumption of fixed capital, Other changes in the volume of non-financial assets and Revaluations., Read more about statistical presentation, Statistical processing, Fixed assets are compiled using gross fixed capital formation, historical stocks and assumptions on service lives and depreciation. Investment data stem from business statistics, administrative registers and sector-specific sources, supplemented by BBR, the Motor Register and R&D statistics. Service lives follow European recommendations. Data are validated against industry and sector series and through a final macro-assessment. From 2021, all asset types are compiled using PIM based on harmonised benchmark stocks., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. National accounts are used as the basis for analyzing the economic development., National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, A certain degree of uncertainty is linked to the data sources and the assumptions used in the compilation of fixed assets. Consistent methods and the integrated processing of sources help ensure stable results over time. Until 2020, buildings and transport equipment were compiled using direct stock methods, which generally provided a solid basis. The shift to a fully harmonised PIM approach from 2021 may introduce slightly higher uncertainty. Quality management and revisions follow the CoP, QAF and established procedures., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the annual national accounts, including fixed assets, is published at the end of June in the year following the reference year. Final annual national accounts figures are published annually approximately 2.5 years after the reference year., Read more about timeliness and punctuality, Comparability, Comparisons with other statistics at a detailed industry level will often show differences, partly because of differences in definitions of variables, and partly because of the calendar year delimitation of the national accounts and its requirement of total coverage of the economic activity., Internationally there is a high degree of comparability with the national accounts of other countries because the Danish national accounts are compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under , National accounts, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--fixed-capital-stock

    Documentation of statistics

    Documentation of statistics: Working time accounts

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

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

    Documentation of statistics

    Documentation of statistics: Long Term Unemployed Persons

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

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

    Documentation of statistics

    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 2024 , Previous versions, Corporate Taxation 2023, 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, In the StatBank the figures are published under , Corporation taxation, . Information about the statistics can be found on , the subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Environmental-economic accounts

    The environmental-economic accounts are a system of accounts for the economy, the climate and the environment that supplements the conventional national accounts. The environmental-economic accounts are based on an international statistical standard called the System of Environmental-Economic Accounting (SEEA). Statistics Denmark often refers to the environmental-economic accounts as green national accounts. , Energy and air emission accounts, Shows the production and consumption of various kinds of energy, emission of CO2, other greenhouse gases and air pollution, and the Danish climate footprint., Material flow and waste accounts, Shows the material consumption of the economy and how much waste we generate. For example, you can see how much waste is sorted for recycling., Water and wastewater, Shows the abstraction of water, the water consumption of households and businesses, and how much waste water we produce., Green economy, Shows the public revenue from green taxes, expenditure on environmental protection, environmental transfers, and the turnover of green goods and services., Natural resource accounts, Shows how many natural resources Denmark has in the form of oil, natural gas, fish and forests, and how much of the Danish area that is agricultural land, nature, buildings, etc., System of Environmental-Economic Accounting (SEEA), The environmental-economic accounts are based on guidelines drawn up by the UN, World Bank, IMF, OECD, FAO and the EU. Read more about the international standard SEEA CF - System of Environmental-Economic Accounting - Central Framework.

    https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/groent-nationalregnskab

    Subject page

    Documentation of statistics: Accounts Statistics for Non-Agricultural Private Sector

    Contact info, Business Dynamics, Business Statistics , Jeppe Strandgaard Herring , +45 24 44 43 06 , JHR@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Non-Agricultural Private Sector 2025 , Previous versions, Accounts Statistics for Non-Agricultural Private Sector 2024, Accounts Statistics for Non-Agricultural Private Sector 2023, Accounts Statistics for Non-Agricultural Private Sector 2022, Accounts Statistics for Non-Agricultural Private Sector 2021, Accounts Statistics for Non-Agricultural Private Sector 2020, Accounts Statistics for Non-Agricultural Private Sector 2019, Accounts Statistics for Non-Agricultural Private Sector 2018, Accounts Statistics for Non-Agricultural Private Sector 2017, Accounts Statistics for Non-Agricultural Private Sector 2016, Accounts Statistics for Non-Agricultural Private Sector 2015, Accounts Statistics for Non-Agricultural Private Sector 2014, Accounts Statistics for Non-Agricultural Private Sector 2013, Accounts Statistics for Non-Agricultural Private Sector 2012, The purpose of Accounts statistics is to analyze the activity level and of the structure of the Danish business sector. This means that the statistics should be seen as a primary source of financial data for analytical studies of Danish business enterprises, including data required for the evaluation and conception of Government policies and decisions affecting the business community. Moreover, the accounts statistics are an essential input to the Danish national accounts statistics., Statistical presentation, The statistics annually show enterprises income statements, balance sheets, and investments both at the enterprise level and at the establishment level. The statistical basis includes detailed accounting items, including revenue, consumption of goods, expenses, annual results, assets, liabilities, and investments. The accounting statistics for private urban businesses do not include agriculture, fishing, ports, financial institutions, insurance, public housing companies, public administration, etc. The statistics only cover market activity. The statistics are published in "News from Statistics Denmark" and in the "StatBank.", Read more about statistical presentation, Statistical processing, Information is obtained annually from a sample of enterprises using online reporting. The online questionnaire follows the Danish Financial Statements Act as much as possible, and the information obtained undergoes a systematic troubleshooting in Statistics Denmark. Data is supplemented with data from several other sources. Based on the collected and other data, values ​​for all variables are calculated for the full population., Read more about statistical processing, Relevance, Applications: studies of business economics, regional finance studies, primary data for the Danish national accounts and for Eurostat's structural business statistics. Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, scientist, journalists and students., Read more about relevance, Accuracy and reliability, The statistics provide a reliable picture of the financial situation of the Danish business community, as it is based on a broad sample, administrative data and is based on detailed accounts. Most confident is the statistics at the enterprise level, as the annual accounts are made at this level., It is assumed that the enterprises in which information is received from SKAT and the Danish Business Authority, in the same industries and with the same ownership form, are comparable with the enterprises in the sample. Furthermore, it is assumed that enterprises with less than 5 employees are comparable to enterprises with 6-10 employees, for enterprises that do not have a large VAT turnover (industry dependent but typically at least DKK 150 million)., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published approx. 12 months after the last closing date (April 30) and usually without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, The new type of accounts statistics is largely comparable with, and supplemented by, the SKAT data based accounts statistics which were discontinued after 1998. Statistics Denmark publishes statistics on various subjects related to business accounts, notably VAT-related turnover, manufacturers' sales of commodities, and short-term statistics of order books and sales. However, these statistics are not directly comparable with the accounts statistics, because of differences in units, coverage or concepts., Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, in Danish, . In StatBank data are published under the subject , Enterprise finance and accounts, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-non-agricultural-private-sector

    Documentation of statistics

    Documentation of statistics: Public Sector Innovation

    Contact info, Science, Technology and Culture , Helle Månsson , HEJ , HEJ@dst.dk , Get documentation of statistics as pdf, Public Sector Innovation 2023 , Previous versions, Public Sector Innovation 2019, Public Sector Innovation 2016, Innovation in the public sector 2014, The purpose of these statistics is to uncover the extent and types of public sector innovation. The survey is conducted according to EU and OECD guidelines concerning innovation statistics. , Statistical presentation, These statistics are an annual measurement of the share of innovative workplaces in the public sector. The statistics are grouped by industry, in groups of business sizes and by type of innovation at the individual workplace, degree of novelty, initiator and obtained values., Read more about statistical presentation, Statistical processing, The statistical treatment of data primarily concerns the creation of derived variables and formatting of the data., Read more about statistical processing, Relevance, Ministries, departments. municipalities, regions, decision makers, workplaces and employees in the public sector, who have the possibility to compare the innovation activities of their workplace in comparison to others, and to get inspired for new solutions. Researchers and consultants working with innovation in the public sector will be able to use the material for analyses., Read more about relevance, Accuracy and reliability, The survey was voluntary with a response rate of 36 per cent, and therefore the uncertainty will be higher than in a survey with a much higher response rate. Measurement errors are believed to be very small, as nearly all questions in the survey are qualitative., Read more about accuracy and reliability, Timeliness and punctuality, From the end of the reference period (June 2023) to the day of publication, 6 months have passed., Read more about timeliness and punctuality, Comparability, All the Nordic countries have collected and disseminated comparable statistics, Norway, Sweden, Iceland and Finland., Read more about comparability, Accessibility and clarity, The statistics is published in a Danish press release. In the StatBank, these statistics can be found under the subject , Innovation, . For more information, go to the , subject page, for these statistics, or visit the webpage of , Center for Offentlig-Privat Innovation, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-sector-innovation

    Documentation of statistics