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      Documentation of statistics: Register-Based Labour Force Statistics

      Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Register-Based Labour Force Statistics 2024 , Previous versions, Register-Based Labour Force Statistics 2023, Register-Based Labour Force Statistics 2022, Register-Based Labour Force Statistics 2021, Register-Based Labour Force Statistics 2020, Register-Based Labour Force Statistics 2019, Register-Based Labour Force Statistics 2018, Register-Based Labour Force Statistics 2017, Register-Based Labour Force Statistics 2016, Register-Based Labour Force Statistics 2015, Register-Based Labour Force Statistics 2014, The purpose of the Register-Based Labour Force Statistics (RAS) is to measure the population’s primary attachment to the labour market. This attachment is recorded at the end of November and compiled once a year. The first RAS compilation was made at the end of November 1980., Statistical presentation, RAS is an annual, individual-based compilation that records the population’s attachment to the labour market on the last working day of November. The population’s attachment is divided into three main socio-economic groups: employed, unemployed, and persons outside the labour force. The statistics can be broken down by demographic variables and education, as well as by industry, sector, and municipality of the workplace for employed persons. The data are published in News from Statistics Denmark and in the Statistics Denmark StatBank, and detailed micro-data are made available through Statistics Denmark’s Research Service., Read more about statistical presentation, Statistical processing, The register-based labor force statistics (RAS) are based on the Labor Market Account (AMR_UN), which is a longitudinal register. When RAS is compiled, a status assessment (in relation to the population's primary attachment to the labor market) is carried out on the last working day of November in the AMR. Based on AMR_UN, it is also possible to perform status assessments on arbitrary days throughout the year., Read more about statistical processing, Relevance, The register based labour force statistic (RAS) is primarily been used to structural analysis of the labour market, because the statistic has a very detailed level of information. Many external as well as internal users are using the statistic., Read more about relevance, Accuracy and reliability, RAS is a register-based compilation that uses many data sources to measure the population's affiliation to the labor market. This means that RAS does not have the same uncertainty as statistics based on samples. RAS consists of a wide range of data sources, which are integrated, checked for errors, and harmonized, making it possible to provide a better picture of the population's connection to the labor market than the individual statistics can., Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The first version of the RAS statistics includes the population resident in Denmark as of the 1 January 1981 and its attachment to the labour market at the end of November 1980. The statistic has been compiled once every year since. New and better data foundations and changes in the labour market have however caused a number of data breaks over time, which have influence on the possibility of comparing data over time. Since RAS is based on administrative registers with national distinctive marks, it is very difficult to compare the statistic in an international level. , Read more about comparability, Accessibility and clarity, The statistics is published in Statbank Denmark: , Labour market status (RAS), and , Employed persons (RAS), . , For further information go to the subject pages , Labour market status (RAS), and , Employed persons (RAS), ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/register-based-labour-force-statistics

      Documentation of statistics

      Documentation of statistics: Implicit index of average earnings

      Contact info, Labour Market, Social Statistics , Eva Borg , +45 24 78 53 57 , EVB@dst.dk , Get documentation of statistics as pdf, Implicit index of average earnings 2025 , Previous versions, Implicit index of average earnings 2024, Implicit index of average earnings 2023, Implicit index of average earnings 2021, Implicit index of average earnings 2020, These statistics show the development in average earnings, calculated on the basis of an arithmetic average of salaries of all employees within the same sector and economic industry. In relation to the publication of the new Standardised index of average earnings, these indices were renamed to Implicit index of average earnings. In the new index changes in the workforce is taken into account when calculating the development in earnings., The Implicit index of average earnings goes back to first quarter of 2005 for the private sector and first quarter of 2007 for the public sector., Statistics Denmark has decided to discontinue the implicit index of average earnings at the beginning of 2026 with the publication of the index for the fourth quarter of 2025. Instead, users are advised to use the standardised index of average earnings, which also illustrates the development in pay level for employees in Denmark. The discontinuation of the implicit index of average earnings will not have any impact on the standardised index of average earnings, which will be the only wage index from Statistics Denmark in the future. The historical series of the implicit index of average earnings will continue to be accessible in StatBank Denmark. In order for users to handle the transition to the standardised index of average earnings, a guide (in Danish) has been prepared on how to switch from the implicit to the standardised index of average earnings in practice. It is available on Statistics Denmark's information page on , indexation, ., Statistical presentation, The Implicit index of average earnings is a quarterly statistic of the development in wages for all employees in Denmark, including students and young persons under 18. The indices are available by sector and economic industries and follow the classifications Dansk Branchekode (DB07) and sector (SBR)., Read more about statistical presentation, Statistical processing, Data is collected from a sample of companies and organisations as well as the entire public sector, covering the middle month of the quarter., Data is validated by using fixed boundaries, both at individual and company level. Manual corrections are also made if required. Only companies that are present in both quarters are included in the calculations., In the calculation of the most detailed sub-indices, data for the private sector are weighted to the target population and the individual employment types are weighted with the hours worked., Read more about statistical processing, Relevance, The Implicit index of average earnings is a so-called unit value index, where wage trends are estimated on the basis of a simple salary average of all employees in the same industry. This means that wages partly reflect changes in staff composition in a given industry., Private enterprises as well as ministries etc are the central users. The index is used especially in connection with various contract regulations, as well as the regulatory scheme in the public wageagreements., The Implicit index of average earnings is the wage index that comes closest to being comparable to the European LCI., Read more about relevance, Accuracy and reliability, For the public sector the statistics are based on data for virtually all employees. For the private sector, there are two factors that can affect accuracy, namely uncertainty in the sample statistics and that there may be problems with the completeness of the reported data from the company., This index is an where the sum of wages and hours worked is counted in each group (etc. activity sector). Thus, changes in personnel in a given industry will have an impact on the measured wage development., The figures do not undergo revision; the published figures are usually final., Read more about accuracy and reliability, Timeliness and punctuality, The implicit index of average earnings are published approx. 60 days after the end of the reference quarter, at the same time as the standardised index of average earnings is published. These statistics are published without delay., Read more about timeliness and punctuality, Comparability, The implicit index of average earnings is comparable since first quarter 2005 but for some sectors, comparable wage indices also exist further back in time. The implicit index of average earnings is based on the same data as the standardised index of average earning, but there are significant differences in methodology that allow the two wage indices to be used only partially for comparison., Internationally, the implicit index of average earnings can be compared to the labor cost index collected and published by Eurostat for all EU countries., Read more about comparability, Accessibility and clarity, The implicit index of average earnings is published in Statistics Denmark’s newsletter on [https://www.dst.dk/da/statistik/nyheder-analyser-publ/nyt?psi=1931), together with the standardized index of average earnings. In Statbank Denmark, indices and annual increases are published under the , implicit index of average earnings , . More information can be found on the subject page on , Income and earnings, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/implicit-index-of-average-earnings

      Documentation of statistics

      Documentation of statistics: Water and Waste Water

      Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Berg Rasmussen , +45 51 46 23 15 , MBR@dst.dk , Get documentation of statistics as pdf, Water and Waste Water 2024 , Previous versions, Water and Waste Water 2023, Water and Waste Water 2022, Water and Waste Water 2021, Water and Waste Water 2020, Water and Waste Water 2019, Water and Waste Water 2018, Water and Waste Water 2016, Water and Waste Water 2014, The statistics concerning water and waste water estimates the abstraction and use of water as well as discharge of waste water distributed on municipalities., The water account document abstraction of water, use in households and industry groups (as used in the Danish National Accounts) as well as the discharge of waste water via waste water treatment plants to the aquatic environment. The water accounts are based on water and waste water statistics as well as micro-data from the Jupiter database managed by GEUS (Geological Survey of Denmark and Greenland) and reports on point sources from the Danish Environmental Protection Agency., The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The account is based price information from water supply and waste water companies that are member of DANVA, information on individual companies, population, households as well as the physical water account., Statistical presentation, The water account consist of a physical and an economic part. The physical water account document abstraction of water, use well as the discharge of waste water to the aquatic environment in households and 117 industry groups as used in the other parts of the environmental economic account and in the ordinary Danish National Accounts. The economic water account document the income in water supply and waste water treatment plants from households and industry groups. The water accounts are prepared annually and published in Latest releases from Statistics Denmark and in StatBank Denmark., The water account is a module in the environmental economic accounts for Denmark. Read about the , environmental economic accounts, ., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares water statistics based on data from GEUS on abstraction of water and waste water statistics based on data from the Danish Environmental Protection Agency. The distribution of abstraction of water, use of water and discharge of waste water between industrial groups as well as the cost are based on a number of additional sources., Read more about statistical processing, Relevance, Water accounts and statistics are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in water, pollution, resources, economic-environmental interactions, 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 coverage of data abstraction water is assessed to be high. However, for fish farming the information may be insufficient. Therefore missing values have been imputed., The coverage of data on waste water discharge is assessed to be high, as the information by law has to be included in development water management plans., The coverage of data on abstraction of water, flows and deliveries to end users is assumed to be high., The distribution on industrial groups - especially the 117 level - is subjected to some uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics as well as physical and economic accounts have been published on time 11 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Water Accounts are unchanged throughout the period covered by published figures (2010-). International comparison is possible with all other national water accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark and in the Statbank. They will also be part of future publications from Statistics Denmark on Environmental-Economic Accounts (Green National Accounts)., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Personal assets and Liabilities

      Contact info, Labour Market, Social Statistics , Jarl Christian Quitzau , +45 23 42 35 03 , JAQ@dst.dk , Get documentation of statistics as pdf, Personal assets and Liabilities 2024 , Previous versions, Personal assets and Liabilities 2023, Personal assets and Liabilities 2022, Personal assets and Liabilities 2021, Personal assets and Liabilities 2020, Personal assets and Liabilities 2019, Personal assets and Liabilities 2018, Personal assets and Liabilities 2017, Assets and Liabilities 2016, Assets and Liabilities 2015, Assets and Liabilities 2014, Documents associated with the documentation, 2022-Revision af formuestatistikken_vs1.1 (pdf) (in Danish only), Værdiansættelse af unoterede aktier og fordeling på personer i 2022 (pdf) (in Danish only), Estimering af aldersopsparing (pdf) (in Danish only), New data on individual pension wealth growth (pdf), Fordeling af unoterede aktier 2023 (pdf) (in Danish only), Beskrivelse af formueloftet 2023 (pdf) (in Danish only), Effekt af overgang til midlertidigt datagrundlag om ejendomme fra 2023 (pdf) (in Danish only), Beskrivelse af formueloftet 2024 (pdf) (in Danish only), Fordeling af unoterede aktier 2024 (pdf) (in Danish only), Databrud i ejendomsformuerne, 2024 (pdf) (in Danish only), The purpose of the Wealth and Debt statistics is to provide insights into the wealth and debt of individuals, families, and various population groups. The statistics were first created in the aftermath of the financial crisis in collaboration with Danmarks Nationalbank (the Danish Central Bank) and were intended, among other things, to analyze families' resilience to economic shocks. Additionally, the statistics are used in analyses of the pension system and to measure economic inequality. The statistics have been produced since 2014., Statistical presentation, The statistics produces annual data on the value of value of real estate, cars, financial assets, pension wealth and debts. There are also separate and more detailed publications on pension wealth. The statistics are register based and are based on data at the individual level. It is linked to other registers in order to do subdivisions on age, gender, municipality etc., Read more about statistical presentation, Statistical processing, Data is collected from multiple sources and undergoes statistical processing, including debt classification and market value assumptions for assets such as homes, cars, and unlisted shares. Registers are compiled using anonymized identifiers. In pension statistics, bonuses and reserves are allocated proportionally to pension funds, and anonymized contract numbers enable time-series analysis, except in cases of mergers and acquisitions., Read more about statistical processing, Relevance, These statistics are relevant for researchers, ministries, Economic think tanks, pension funds and the media. It is used for forecasts on the pension system and, analyses on the level of wealth in different strata, the level of prosperity and the level of economic inequality. The statistical data and results are also used in other statistical areas within Statistics Denmark, e.g. in national accounting and as a supplement to the income statistics. Data on pension wealth are also used for the macro economic Model ADAM., Read more about relevance, Accuracy and reliability, The quality of the financial data is high since most of the data is validated by the tax authorities. There is much larger uncertainty on the imputed market value of owned property, cars, unquoted stocks and the value of lifetime pensions. Data on assets that can not be linked to persons is not included. Data Wealth held abroad by Danes is likely lacking as well. For discretionary reasons the register is top-coded with a maximum wealth of DKK 2.07 bio. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 12 months after the end of the reference year. Publications are released on time without delays, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Comparability over time varies depending on the wealth component. In the wealth and debt statistics, one must choose whether to use the 2020 series, which includes unlisted shares and debt subject to enforcement, or the 2014 series, which does not. In 2023–2025, there is a major data break due to the transition to new assessment systems, and the coverage of unlisted shares has gradually improved since they were included in the statistics from 2020. Apart from these breaks there is good consistency over time. Caution should be exercised when using the statistics for international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Wealth and liabilities, and , Pension assets, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/personal-assets-and-liabilities

      Documentation of statistics

      Documentation of statistics: International labour cost indices (Discontinued)

      Contact info, Personal Finances and Welfare , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, International Labour Cost Indices 2022 Quarter 3 , Previous versions, International Labour Cost Indices 2020 Quarter 1, International Labour Cost Indices 2019, International Labour Cost Indices 2015 Quarter 2, International Labour Cost Indices 2015 Quarter 1, International Labour Cost Indices 2014 Quarter 1, The purpose of publishing the international labour cost indices is to compare trends in earnings and other labour costs in the private sector in Denmark with trends in the EU countries and the US. The figures for the EU countries are collected from EU’s statistical office, Eurostat, which publishes the figures on their homepage on a quarterly basis. Eurostat collects information from each member state’s national statistical institution. The U.S. figures are collected by the U.S. Department of Labour, Bureau of Labor Statistics, which publishes their figures on their own homepage. , The international labour cost indices are not directly comparable with the national indices of average earnings., Statistical presentation, The indices are published on a quarterly basis to show developments of the Danish and other countries labour costs in an international setting. The figures from EU member countries are based on EU-harmonized regulations. It is expected that the harmonization will extend gradually over time. The numbers are not fully comparable to the Danish national indices of average earnings, which are collected and published quarterly. The international labour cost indices are exclusively published in Statistics Denmark’s quarterly news release , NYT fra Danmarks Statistik, entitled , International Labour Costs, , and where the EU-figures are collected from Eurostat database while the US figures stems from the Bureau of Labor Statistics (BLS) database., Read more about statistical presentation, Statistical processing, Data is collected from different sources where the data already has gone through statistical processing before being published., Read more about statistical processing, Relevance, The indices are used to compare and analyze how the Danish labour costs perform in an international setting, as it is an important indicator of the state of play of the Danish competitiveness compared to other countries. The statistics are therefore often mentioned in the daily news press and are often an important feature in the national public debate., Read more about relevance, Accuracy and reliability, As the methods used for collection and production of the indices differ in all the countries included in the international labour cost indices, it is only possible to make any conclusions on the accuracy and reliability of the Danish index., In general the reliability of the Danish labour cost index is, due to the size of the sample and the thorough search for errors which is performed, considered to be quite good. This is especially true in the case of the indices on the more aggregate level, such as for the whole business economy or the largest sectors of economic activity. For the smaller sectors of economic activity, the reliability is for natural reasons lower., Read more about accuracy and reliability, Timeliness and punctuality, The indices are normally published without any delay approximately 80 days after the turn of the quarter being measured. However the dissemination regarding 4th quarter 2019 was delayed due to lacking data on holiday payments, resulting from the transition period in implementing the Danish Holiday Act 2020. Please refer to the description of other uncertainties under S.13.3., Read more about timeliness and punctuality, Comparability, In 2008 Eurostat changed from using Industry Classification NACE Rev. 1.2 to NACE Rev. 2. Because of this, there is a slight change in the data belonging to the , the private sector, starting from 2008, which was also conveyed in the publications of the statistics. Before this change, the data included the class of industries C-F according to NACE Rev. 1.2. After the change, the sectors of economic activity covered are B-N according to NACE Rev. 2., Read more about comparability, Accessibility and clarity, The indices are only published in Statistics Denmark's news release , NYT, . The international figures are not available in the Statbank. The figures and other information can instead be found on Eurostat's or BLS' homepages or databases., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-labour-cost-indices--discontinued-

      Documentation of statistics

      Documentation of statistics: National Accounts, Financial Accounts

      Contact info, Government Finances, Economic Statistics , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, National Accounts, Financial Accounts 2025 , Previous versions, National Accounts, Financial Accounts 2024, National Accounts, Financial Accounts 2023, National Accounts, Financial Accounts 2022, National Accounts, Financial Accounts 2021, National Accounts, Financial Accounts 2020, Financial accounts 2018, Financial accounts 2017, Financial accounts 2016, Financial accounts 2015, Financial accounts 2014, Financial accounts 2013, Financial accounts are part of the national accounts system, which shows how the institutional sectors of the economy place / finance their net lending/net borrowing. Statistics Denmark published annual financial accounts for the first time in 2001, while the Danmarks Nationalbank (Danish Central Bank) published quarterly figures for the first time in 2004. From September 2020, the national and quarterly financial accounts of the national accounts is compiled in a collaboration between Danmarks Nationalbank and Statistics Denmark., Statistical presentation, Financial accounts are part of the national accounts system and consist of coherent definitions and classifications that show how the institutional sectors of the economy place / finance their net lending / net borrowing and how the net financial net worth are placed in financial instruments. Financial accounts are a quarterly and annual statistics and consist of the financial transaction account, the revaluation account, the account for other volume changes and respectively the opening and closing balances. Contact information for Danmarks Nationalbank can be found in Comments., Read more about statistical presentation, Statistical processing, Data is collected continuously throughout the year from many different sources. Then the data is processed in relation to the conceptual apparatus of the national accounts, where it may be necessary to contact the specific source with clarifying questions for the data. There may be a need to calculate estimates for the data that are not available at the time of publication. Once all sources have been obtained, some balancing is carried out to ensure the internal consistency that underpins the national accounts., Read more about statistical processing, Relevance, The purpose of these statistics is to shed light on the wealth and debt of companies and households as well as the overall financial stability of society. Financial accounts are relevant to anyone dealing with socio-economic issues. It ranges from Danmarks Nationalbank, financial institutions, the economic ministries, interest groups and financial analysts. The press is particularly interested in the figures for the household sector., Read more about relevance, Accuracy and reliability, The ability of the national accounts' financial accounts to accurately describe the economic reality depends partly on the uncertainty associated with the sources and partly on the model assumptions on which the preparation is based. Some parts can be calculated more accurately than others, as there is better access to source data. The initial bids for a period's financial accounts will be more uncertain than the final version, which comes after two and a half years, as new sources are continuously revised when new sources become available., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly financial accounts is published 90 days after the end of the quarter. In connection with the publication of the 4th quarter at the end of March, the first version of the annual financial accounts will also be published. The final quarterly and annual financial accounts are issued two and a half years after the census period. The national accounts are published in time., Read more about timeliness and punctuality, Comparability, The national accounts' financial accounts are prepared in accordance with international guidelines and are thus comparable across countries. The current guidelines were implemented in 2014. , As of September 2020, there is full comparability between the quarterly and annual financial accounts from 2017 onwards. , Danmarks Nationalbank has quarterly figures dating back to 2005, while Statistics Denmark has annual figures dating back to 1995. For the period before 2017, however, the two statistics do not match, which can primarily be attributed to different sources or methodological choices., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under the topics , Complete national accounts, and , National accounts by sector, as well as Danmarks Nationalbank's Statbank under the topic , Financial accounts, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Government Finance Statistics

      Contact info, Government Finances, Economic Statistics , Martin Rune Rasmussen , +45 24 77 42 71 , mra@dst.dk , Get documentation of statistics as pdf, Government Finance Statistics 2025 , Previous versions, Government Finance Statistics 2024, Government Finance Statistics 2023, Government Finance Statistics 2022, Government Finance Statistics 2020, Government Finance Statistics 2019, Government Finance Statistics 2018, Government Finance Statistics 2017, Government Finance Statistics 2015, Government Finance Statistics 2014, Government Finance Statistics 2013, The purpose of the statistics General government finances is to give a overview over expenditure and revenue in the general government sector. The statistics is used to analyze the public economy. Data are available and comparable from 1971 and onward., General government statistics have undergone a benchmark revision since the last publication. In this benchmark revision, the statistics for public finances have been revised back to 1971. The benchmark revision is a pan-European project that is carried out every 5 years. The purpose of the revision is to incorporate new knowledge and new methods and to ensure uniform calculation methods for all countries., This main revision of the public finance statistics has had no notable effect on public consumption, while the net lending/borrowing for general government has improved to a lesser extent. , Statistical presentation, General government finances monitor current and capital expenditure/revenue for the general government on a yearly basis. The statistics is divided into subsectors., Read more about statistical presentation, Statistical processing, The data is collected continuously in the months before the publication from the public account systems and other supplementary sources. It is then compiled according to national accounts principles, where it may be necessary to contact the specific source to clarify certain characteristics of the entries. It may be necessary to make imputations in cases where the data isn’t available at the time of publication. When a full dataset is compiled for all subsectors balancing is carried out to secure internal consistency., Read more about statistical processing, Relevance, Many users who monitor the public economy have interest in the published statistics of government finance statistics. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to national accounts statistics. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, Misclassification due to insufficient information about the contents of a given account can occur. In provisional accounts, the government's value added tax expenses are divided at the level of accounting items. Ii all versions in t+1 provisional tax-estimates are used. Subsidy accounts can be classified with some inaccuracy because it is not always possible to define the recipient of the subsidy. Reserves and budgets adjustments: This extra paragraph covers both earmarked and widely defined reserves. The widely defined reserves are often considerable amounts and are difficult to define. Whenever possible, Statistics Denmark collects supplementary information on these reserves. An estimation of tax revenue charged by General Government is used., Read more about accuracy and reliability, Timeliness and punctuality, The March version is published one week after the publication of the central government accounts. The June version is published three month after the publication of the central government accounts. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Accounts for general government are compiled using international principles, which implies a high degree of comparability over time and between other Danish national accounts statistics as well as international government finance statistics, Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under the subject , Expenses and revenues of general government, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-finance-statistics

      Documentation of statistics

      Documentation of statistics: Public Expenditure and Revenue on the Environment

      Contact info, Government Finances, Economic Statistics , Jonas Foged Svendsen , +45 21 34 73 19 , JFS@dst.dk , Get documentation of statistics as pdf, Public Expenditure and Revenue on the Environment 2024 , Previous versions, Public Expenditure and Revenue on the Environment 2023, Public Expenditure and Revenue on the Environment 2022, Public Expenditure and Revenue on the Environment 2021, Public Expenditure and Revenue on the Environment 2018, Public sector environmental protection plus environmental related taxes and subsidies 2017, Public sector environmental protection plus environmental related taxes and subsidies 2016, Public sector environmental protection plus environmental related taxes and subsidies 2016, Public sector environmental protection plus environmental related taxes and subsidies 2014, Public Expenditure and Revenue on the Environment 2013, Public Expenditure and Revenue on the Environment 2012, The statistics Public Expenditure and Revenue on the Environment are part of the green national accounts. The statistics establishes a link between public expenditure and revenue and public environmental protection activities. The statistics are used, inter alia, in relation to political decisions in the environmental field, environmental economic analyses and international comparisons of the various EU countries' environmental efforts. The statics date back to 1995. , Statistical presentation, The statistics is an annual measurement and consist of three focus areas: environmental protection, green taxes and environmental subsidies. In conjunction with a number of international classifications, these focus areas form the framework for the link between public expenditure and revenues and the public environmental protection activities. The focus areas of the statistics are also linked to a description of the public sector as a sector consisting of state, municipalities, regions and public corporations., Read more about statistical presentation, Statistical processing, The data sources for this statistics consist of accounts from state, municipalities, regions and public corporations that are coded for national accounts based on the manual of the European National Accounting System (ESA2010) and stored in the database DIOR (Database for Integrated Public Accounts). Based on thorough analyses, a list of criteria is drafted, which determines which account items are to be drawn from DIOR in order to compile the statistics. The selected account items are sorted and aggregated according to environmental purposes and categories, real-economic type and sector., Read more about statistical processing, Relevance, The figures in these statistics are relevant, among other things, in connection with political decisions in the environmental field, environmental economic analyses and international comparisons of the individual EU countries' environmental efforts. The most obvious users of the statistics are various ministries, agencies and organizations, as well as media and research institutions. Statistics Denmark receives information about the users' needs and satisfaction via the Contact Committee for Environmental Economic Accounts and Statistics., Read more about relevance, Accuracy and reliability, It is estimated that green taxes are the most accurate of the three main areas of the statistics, followed by environmental subsidies and environmental protection respectively. Sources of uncertainty include: misstatements in public accounts, the risk of overlooked items, the risk of incorrectly included items, the possibility of misclassification, and uncertainty regarding estimates of the environmental share of various accounts. Furthermore, the industry distribution of green taxes and environmental subsidies is based on a number of assumptions, which are also subject to uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually one month after the publication of the public finance accounts. The figures follow the National Accounts audit schedule and will only be finalized three years after the end of the accounting period. The statistics are usually published without delay in relation to the time announced., Read more about timeliness and punctuality, Comparability, The figures in these statistics are comparable to other statistics in several different ways. Through transmissions to Eurostat, the figures are made comparable with the other EU countries according to Regulation No 691/2011 of the European Parliament and of the Council on European environmental economic accounts. The figures are comparable over time, and finally the figures are comparable to other figures within the national accounting framework., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish , press release, . The figures can be found in the StatBank under , Green Economy, . In addition, these statistics feature in the , Environmental-Economic Accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-expenditure-and-revenue-on-the-environment

      Documentation of statistics

      Documentation of statistics: Sales of food and beverages to food service

      Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , MLU@dst.dk , Get documentation of statistics as pdf, Sales of food and beverages to food service 2024 , Previous versions, Sales of food and beverages to food service 2023, Sales of food and beverages to food service 2022, Sales of food and beverages to food service 2021, Sales of Organic Products to Foodservice 2020, Sales of Organic Products to Foodservice 2019, Sales of Organic Products to Foodservice 2018, Sales of Organic Products to Foodservice 2017, Sales of Organic Products to Foodservice 2016, Sales of Organic Products to Foodservice 2015, Sales of Organic Products to Foodservice 2014, Sales of Organic Products to Foodservice 2013, The purpose of the statistics Sales of food and beverages to food service is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to Retail sales of organic foods. The statistics have been compiled annually since 2013 with grant funding from the Ministry of Food, Agriculture and Fisheries., Statistical presentation, The statistics are an annual web-based questionnaire survey on wholesalers' sales of food and beverages to the foodservice area - i.e. commercial kitchens, restaurants, institutions, etc. – i.e. companies and institutions where food is served. The questions relate partly to total turnover for foodservice, partly to turnover for organic foodservice, distributed over a limited number of product groups and customer groups. The turnover is calculated in terms of value (DKK million) and quantity (tons)., Read more about statistical presentation, Statistical processing, Data for the statistics is collected via a questionnaire-based total count of food wholesalers with over 40 million DKK in turnover. Data is validated in connection with the collection in an online form. Data is subsequently checked and corrected after re-contact with the food wholesalers. Data is then summed up for statistics and key figures are calculated., Read more about statistical processing, Relevance, The purpose of the statistics is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to the statistics Retail sales of organic foods. Foodservice has become more important in recent years and a group of industry organizations and companies have wanted comprehensive statistics on the area. The statistics are also included in the formulation and follow-up of objectives for organic food service., Read more about relevance, Accuracy and reliability, Since the statistics are a total count of companies with over 40 million in turnover, there is no sampling error. Smaller companies' sales are not known, but based on the total turnover, it is estimated that less than 5 percent of total sales to foodservice are from these companies. More than 95 percent of the companies have answered the survey. For some companies, it is difficult to obtain the figures for the survey. These have provided best estimates instead. The total sales are more certain than sales divided into product or customer groups., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 9 months after the end of the reference period. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are no common guidelines for international statistics on foodservice., The statistics can be compared to a limited extent with the Retail turnover of organic food. However, this survey measures retail turnover including VAT, in contrast to Sales of food and beverages to foodservice, which measures wholesale turnover excluding VAT., Read more about comparability, Accessibility and clarity, The statistics are published in news release from Statistics , Nyt fra Danmarks Statistik, under the subject Miljø og Energi, Økologi (in Danish only). Statistics Bank publishes figures for Sales of organic goods for foodservice under the subject , Environment and Energy, Ecology, . See more on the statistics' , Subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-food-and-beverages-to-food-service

      Documentation of statistics

      Documentation of statistics: Public sector employment (quarterly)

      Contact info, Labour Market, Social Statistics , Mads Housø Hansen , +45 24 43 40 61 , MHU@dst.dk , Get documentation of statistics as pdf, Public sector employment (quarterly) 2024 Quarter 4 , Previous versions, Public sector employment (quarterly) 2024 Quarter 3, Public sector employment (quarterly) 2024 Quarter 2, Public sector employment (quarterly) 2024 Quarter 1, Public sector employment (quarterly) 2023 Quarter 4, Public sector employment (quarterly) 2023 Quarter 3, Public sector employment (quarterly) 2023 Quarter 2, Public sector employment (quarterly) 2023 Quarter 1, Public sector employment (quarterly) 2022 Quarter 4, Public sector employment (quarterly) 2022 Quarter 3, Public sector employment (quarterly) 2022 Quarter 2, Public sector employment (quarterly) 2022 Quarter 1, Public sector employment (quarterly) 2021 Quarter 4, Public sector employment (quarterly) 2021 Quarter 3, Public sector employment (quarterly) 2021 Quarter 2, Public sector employment (quarterly) 2020 Quarter 4, Public sector employment (quarterly) 2020 Quarter 3, Public sector employment (quarterly) 2020 Quarter 2, Public sector employment (quarterly) 2020 Quarter 1, Public sector employment 2018 Quarter 3, Public sector employment 2018 Quarter 2, Public sector employment 2018 Quarter 1, Public Employment Statistics 2017 Quarter 4, Public Employment Statistics 2017 Quarter 3, Public Employment Statistics 2017 Quarter 1, Public Employment Statistics 2016 Quarter 3, Public Employment Statistics 2014 Quarter 4, Public Employment Statistics 2015 Quarter 1, Public Employment Statistics 2015 Quarter 2, Public Employment Statistics 2015 Quarter 3, Public Employment Statistics 2015 Quarter 4, Public Employment Statistics 2016 Quarter 1, Public Employment Statistics 2016 Quarter 2, Public Employment Statistics 2016 Quarter 4, Public Employment Statistics 2014 Quarter 3, Documents associated with the documentation, Notat om revision af COFOG (pdf) (in Danish only), The public employment statistics cover general government sector and its subsectors. The statistics are published quarterly and are distributed by subsector and by purpose. The classification by purpose follows the classification COFOG (Classification of the functions of Government)., Statistical presentation, The statistics publish quarterly the number of full-time employees in general government sector. The statistics are broken down by subsector and the COFOG classification., Read more about statistical presentation, Statistical processing, The data source of the statistics is the eIncome Register of Statistics Denmark. This is combined with information on e.g. public account numbers from public reports., Data are always quality controlled at a cross-level between COFOG and the subsectors of general government. , The COFOG distributions are revised occasionally and data are revised in accordance with the data source. Time-series are seasonally adjusted., Read more about statistical processing, Relevance, Among users of the statistics are ministries, government agencies and municipalities, various organizations, researchers, politicians and others interested in the development of employment and the number of staff employed within the general government sector., Read more about relevance, Accuracy and reliability, The data source of the statistics is the eIncome Register of Statistics Denmark which is the main data source for register-based employment statistics published by Statistics Denmark. This register is considered as highly reliable., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are expected to be published without any delay in relation to the time for publication announced., Read more about timeliness and punctuality, Comparability, Comparable data are available based on the new statistics from first quarter 2008 onwards. Based on the former statistics historical data are available for the period first quarter 2002 until fourth quarter 2012., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark and in the database Statbank Denmark., Table OBESK1, ,, Table OBESK2, ,, Table OBESK3, and, Table OBESK4, ., Read more about accessibility and clarity

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

      Documentation of statistics
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