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Documentation of statistics: National Accounts: Institutional Sectors

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , urj@dst.dk , Get documentation of statistics as pdf, National Accounts Institutional Sectors 2024 , Previous versions, National Accounts, Institutional Sectors 2023, National Accounts, Institutional Sectors 2022, National Accounts, Institutional Sectors 2021, National Accounts, Institutional Sectors 2020, National Accounts, Institutional Sectors 2019, National Accounts, Institutional Sectors 2018, The statistics National Accounts by sectors, are part of the national accounts system and consist of coherent definitions and classifications that show how the income of the sectors is created, distributed and redistributed. They provide both a description of the economy in general and of the transactions between persons, enterprises and institutions. The national accounts also include transactions between Denmark and the rest of the world. This set of statistics was first published in 1982. Coherent annual time series are available back to 1995, while quarterly figures are available from the first quarter of 1999 onwards., Statistical presentation, National accounts by sectors provide an overview of the activities and the development of the Danish economy. They contain key indicators such as the gross value added (GDP) and figures for private consumption, investments, exports and imports, earnings and property incomes as well as the profit in six main sectors (non-financial corporations, financial corporations, general government, households, non-profit institutions serving households (NPISH) and the external sector) and productivity in the industries. They also include figures for the many sub-classifications, which facilitates analysis of various cross-sections of the national economy. , Read more about statistical presentation, Statistical processing, Basically, all economic statistics available are used for the national accounts. When the first estimate for a given period is prepared, it is done before all source data for the period is available. The calculations are based on the structure of the last final national accounts, which is projected with indicators from e.g. the business cycle statistics. When new source data becomes available, it is incorporated in the national accounts at set intervals. Three years after a given period, the national accounts are regarded as final., Read more about statistical processing, Relevance, The purpose of these statistics is to clarify how income is generated as a result of the productive activity in society, which is then redistributed before it provides a basis for demand for goods and services for consumption and investment. The institutional sectors are relevant to everyone concerned with socio-economic conditions. The field ranges from the financial, economic and fiscal ministries’ use of the national accounts to common interest in knowledge about the trend of the economy. 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 to describe the economic reality accurately depends partly on the uncertainty associated with the sources and partly on the model assumptions guiding their preparation. It is possible to draw up some parts more accurately than others, as better source data is available. The first estimates of national accounts for a period will be more uncertain than the final version, which is released after three years, as revisions are made regularly as new source data becomes available., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly sector accounts is released 90 days after the end of the quarter. In connection with the publication of the fourth quarter at the end of March, the first version of the annual sector accounts is also published. Almost three years after the end of the year, the final annual and quarterly national accounts are published. The sector accounts are published punctually., Read more about timeliness and punctuality, Comparability, The national accounts are prepared according to international guidelines and, as a result, they will be comparable across countries. The current guidelines were implemented in 2014 and have been applied for revision of the national accounts back to 1966, however 1971 for institutional sectors. They reflect all parts of the national economy, so that most economic statistics contain figures that have their counterparts in the national accounts, which are e.g. fully consistent with the balance of payments and general government. For other statistics, the transition will often be complicated due to different definitions and requirements for coverage., Read more about comparability, Accessibility and clarity, The statistics are published in a number of tables in the StatBank under , National accounts and government finances, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Absence from work

Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Absence from work 2024 , Previous versions, Absence from work 2023, Absence from work 2022, Absence from work 2021, Absence from work 2020, Absence 2019, Absence 2018, Absence 2017, Absence 2016, Absence 2015, Absence 2014, Absence 2013, Absence 2012, The purpose of the statistics of absence is to describe the amount of work that is lost due to absence. Absence is divided into "Own sickness", "Children's sickness", "Occupational injury" and "Maternity and adoption leave". The statistics are published on a yearly basis and are used for estimating and comparing the level of absence within different groups of employees., Statistical presentation, The statistics of absence are published yearly for the governmental sector, the local governmental sector and the private sector. Statistics according to the new sector definition from 2013 are also published for the labour market as a whole. The absence is grouped by the variables occupation, education, industry, region, age and sex. From 2013 own sickness is published by lengths of period. In the governmental and municipal sector all employees are included while the private sector is described by a representative sample of enterprises with 10 or more employees., Read more about statistical presentation, Statistical processing, On a yearly bases information on absence is collected from all of the public sector and from a sample 2600 private enterprises with 10 or more employees. After validating the absence data the periods of absence are connected to the job from which the person was absent. The information about the extent of the employment is found in the earnings statistics. The information on absence from the private sector is enumerated to the total population of enterprises with 10 employees or more., Read more about statistical processing, Relevance, Absence has both personal and economic consequences that have an impact on both employees, employers and the community. The statistics are tools used in estimating and comparing the level of absence within different groups of employees, and can be a foundation on which economic and political decisions are made. The statistics are of interest for the central government, municipalities and regions, private business enterprises, non-governmental organizations, researchers and news media. , Read more about relevance, Accuracy and reliability, The governmental and local government sector in principle include all employed persons. For these sectors there is immeasurable inaccuracy mainly caused by measuring errors., The private sector is based on a representative sample of about 2600 enterprises. The inaccuracy can be divided into sampling inaccuracy and the immeasurable inaccuracy that derives from measuring errors. The total absence rate for own sickness is determined with a 95 percent confidence interval to vary around +/- 0.05 percent. Sampling errors for divisions on e.g. gender or industry are considerably higher., Read more about accuracy and reliability, Timeliness and punctuality, The statistics of absence refers to the whole year to which the absence periods belongs The statistics is published on a yearly basis at the end of October following the reference period. The information is published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, The statistics of absence for the central governmental sector covers the year 2003 and forward, while the first data for the local governmental sector was published for the year 2005. The statistics for the private sector covers the period from 2007 and forward. From 2010 the municipality sector and the regional sector are published separately. Before 2010 the two sectors were only published together., The method and quality of data have continuously been improved especially the first years of the statistics. Comparisons between sectors and years (especially the earliest published data) should only be made with reservations., Read more about comparability, Accessibility and clarity, The latest results are published once a year in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Absence from work, . It is possible to buy more detailed results and to get access to micro-data through Statistics Denmark's Research services., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/absence-from-work

Documentation of statistics

Documentation of statistics: Manufacturers’ Sales of Goods (quarterly)

Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Sales of Goods (quarterly) 2024 Quarter 4 , Previous versions, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2024 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2023 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2022 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2021 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 3, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 2, Manufacturers’ Sales of Goods (quarterly) 2020 Quarter 1, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 4, Manufacturers’ Sales of Goods (quarterly) 2019 Quarter 3, Manufacturers’ Sales of Goods 2019 Quarter 2, Manufacturers’ Sales of Goods 2019 Quarter 1, Manufacturers’ Sales of Goods 2018 Quarter 4, Manufacturers’ Sales of Goods 2018 Quarter 3, Manufacturers’ Sales of Goods 2018 Quarter 2, Manufacturers’ Sales of Goods 2018 Quarter 1, Manufacturers’ Sales of Goods 2017 Quarter 4, Manufacturers’ Sales of Goods 2017 Quarter 3, Manufacturers’ Sales of Goods 2017 Quarter 2, Manufacturers’ Sales of Goods 2017 Quarter 1, Manufacturers’ Sales of Goods 2016 Quarter 4, Manufacturers’ Sales of Goods 2016 Quarter 3, Manufacturers’ Sales of Goods 2016 Quarter 2, Manufacturers’ Sales of Goods 2016 Quarter 1, Manufacturers’ Sales of Goods 2015 Quarter 4, Manufacturers’ Sales of Goods 2015 Quarter 3, Manufacturers’ Sales of Goods 2015 Quarter 2, Manufacturers’ Sales of Goods 2015 Quarter 1, Manufacturers’ Sales of Goods 2014 Quarter 4, Manufacturers’ Sales of Goods 2014 Quarter 1, The purpose of the statistics is to describe the Danish industrial production by detailed type of goods. Manufacturers' sales of goods is the source for Danish Prodcom statistics, regulated by and submitted to Eurostat., Statistical presentation, The statistics describe manufacturers' sales of goods measured in terms of volume and value by detailed types of goods according to the international classifications CN and SITC. In addition to this, total sales (turnover) are distributed by industries (NACE groups)., The data collecting for the statistics for 2020 has partly been affected by the COVID-19 situation. However, it is assessed that the overall statistics has not been affected in any great extent., Since 2020, Statistics Denmark has carried out extensive work to ensure the quality of the reports from the largest companies. This has led to some audits for the years 2018 to 2022., Read more about statistical presentation, Statistical processing, Data are collected through a quarterly survey of all enterprises in manufacturing (including mining and quarrying) with at least 10 employees or a yearly turnover over 100 mio. dkk, approx. 3,000 units. Reported data are validated, by checking against previous reports as well as against other sources. Data are then aggregated by industrial groupings as well as commodity groups. Series with seasonality are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are in high demand from many different users, including the National Accounts, ministries, trade associations, market analysts, researchers, consultants and businesses., Read more about relevance, Accuracy and reliability, The main non-sampling error is the measurement error concerning classification at the most detailed CN level, as respondents do not always report sales according to the correct codes. Furthermore, data on quantities are generally less reliable than those on values, as some respondents estimate quantities and others do not answer, implying that estimations must be made in the statistical production process., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference quarter. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, In its present form and as available in StatBank Denmark, the statistics are comparable since 1995, but the statistics have been produced in some form since 1905. The Prodcom-version of the statistics can be compared to Prodcom statistics of other EU countries. The statistics can be compared to Foreign Trade in Goods to create statistics on apparent consumption - for this, it is important to note the difference in coverage and the potential quality issues at the most detailed CN code level. The tables with sales by industry are consistent from 2000 following the DB07 classification. , Read more about comparability, Accessibility and clarity, These statistics are published annually at the beginning of March in a Danish press release. Quarterly figures are published in the StatBank under , Purchases and sales by manufacturing industries, . Internationally, these statistics are available through Eurostat's , database, and at the UN, where the statistics are disseminated under , Industrial Commodity Statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--sales-of-goods--quarterly-

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: 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: 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

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: Balance of Payments

Contact info, External Economy, Economic Statistics , Maria José Alvarez Pelaez , +45 30 66 03 21 , MJP@dst.dk , Get documentation of statistics as pdf, Balance of Payments 2024 , Previous versions, Balance of Payments 2023, Balance of Payments 2022, Balance of Payments 2021, Balance of Payments 2020, Balance of Payments 2019, Balance of Payments 2018, Balance of Payments 2017, Balance of Payments 2016, Balance of Payments 2015, Balance of Payments 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i Statistikbanken juni 2024 (pdf) (in Danish only), The balance of payments describes the economic transactions between Denmark and the rest of the world. The balance of payments for Denmark has been compiled since 1934, with a continuous time series available since 2005. Today the main emphasis is placed upon incomes and expenses in relation to foreign countries. Originally, the most important item was the foreign debt, which is compiled as part of the International Investment Position (IIP) – Denmark’s external assets and liabilities. Since 1991 the IIP has been compiled by Danmarks Nationalbank. The balance of payments statistics are compiled in cooperation between Danmarks Nationalbank and Statistics Denmark, the latter being responsible for publishing the consolidated statistics. , Statistical presentation, The balance of payments records the value of the economic transactions, which are made within a given period between the Danish balance of payments area and the rest of the world. There are three main accounts: the current account (trade in goods and services, primary and secondary income), the capital account and the financial account (arranging debts and receivables with foreign countries). The statistics shows the geographical distribution (counterpart countries). Danmarks Nationalbank compiles the financial account and the investment income of the balance of payments., Read more about statistical presentation, Statistical processing, The statistics are primarily compiled based on other statistics. The sources are used directly and as a basis for calculations of developments. Validation of the sources mainly occurs during the preparation of other statistics, but special validations are carried out across selected sources to ensure consistency between the sources. The validation particularly targets businesses' international organization of production. The sources are processed so that monthly balance of payments statements can be produced, even if some sources are compiled quarterly or annually. , Read more about statistical processing, Relevance, The publication of the balance of payments, particularly the monthly statement, often attracts significant public interest. The statistics are especially used by ministries, politicians, and economic stakeholders. The balance of payments is also used in the compilation of national accounts., Read more about relevance, Accuracy and reliability, The compilation of the balance of payment is mainly based on other statistics. Accordingly, the accuracy of the balance of payments statistics is very much dependent upon these statistics. Most importantly, there will be uncertainty associated with the first compilations of a period, as important information only becomes available later. Coverage is high as there is a particular focus on coverage in the largest sources. The biggest source of error is measurement errors in the sources that are survey-based. Ongoing validation is performed, so the accuracy of the first publications is lower as it takes time to resolve the validations. The calculations and model assumptions in the compilation are not considered to affect the overall accuracy of the main items in the balance of payments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 40 days after the end of the reference period. Main results are published monthly, approximately 40 days after the end of the relevant month. The final statistics are published approximately three years after the end of the reference period. Punctuality is exceptionally high. , Read more about timeliness and punctuality, Comparability, The compilation of the balance of payments follows the IMF's manual and is compiled back to 2005. There is thus comparability with other countries following the same manual and back to 2005. For the detailed items, there is no comparability with the series before 2005. The statistics on International Trade in Services are directly included in the compilation of the balance of payments. For International Trade in Goods, there are methodological differences, so there is a discrepancy between the two statistics. The balance of payments is part of the national accounts and is directly included as the sector rest of the world in the sector account of the national accounts., Read more about comparability, Accessibility and clarity, The latest figures are published in a monthly news article "Nyt from Statistics Denmark," and all figures can be found in the Statistics Bank. The balance of payments also has dedicated , homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/balance-of-payments

Documentation of statistics

Information security and data confidentiality

Strong protection of personal data is essential for the population and the corporate sector to trust Statistics Denmark. This fundamental relationship of trust is necessary for us to collect information for the official statistics, which is indispensable in an open democratic society. , Important documents, Data Confidentiality Policy at Statistics Denmark 2024 (pdf), Statistics Denmark's Information security policy 2026 (pdf), Accordingly, Statistics Denmark has extensive procedures and systems to protect the information on Danish citizens and enterprises in our systems, and we focus on continuously ensuring maximum data security. , Our measures are aimed at two types of risks; , external, , e.g. hackers, and , internal, , i.e. from our employees and from users with special permission to use data with us. , To protect against external parties gaining access to confidential information, we do the following:, We never store confidential information outside our security zone, and we use encrypted or secure lines when we retrieve or receive information., We use state-of-the-art IT security solutions and professional advisers., We continuously update our security solutions in accordance with good practice, including ISO 2700x and requirements from the Danish Agency for Digitisation and the Danish Centre for Cyber Security., We continuously maintain the competencies of our employees regarding IT security., Independent supervisors perform tests attempting to break our security. In this way, we are able to prevent security issues and immediately bridge any security gaps., To ensure that our employees and authorised users comply with the rules, we do the following:, We make sure that our employees know our rules on data confidentiality and information security, that all employees have signed a non-disclosure agreement and that non-compliance will have serious consequences in terms of employment., On a regular basis, we check that the employee has access to nothing but information that is strictly necessary for their tasks., We register (log) which data sets each employee uses. In 2015, we have extended the logging of searches in data, as directed by the Data Protection Agency in July 2014., External users, e.g. research scientists, must be approved and only have access to information where civil registration numbers (CPR nos) etc. have been replaced with serial numbers that do not allow you to identify people., When external users use Statistics Denmark’s data, we continuously log and check if they comply with data confidentiality requirements. Non-compliance may result in exclusion from using data in Statistics Denmark.,  , ISO 27001-certification, In 2023, Statistics Denmark has completed an ISO certification process and have been re-certified in accordance with  ISO/IEC 27001:2022 by the international and independent certification body , DNV, . , The scope, i.e. the area that has been checked and ISO 27001 certified, is “IT and business processes in the statistics production, including data collection and the Danish Business Portal, in accordance with Statement of Applicability”. , With the ISO 27001 certification and the continuous audit reviews with accompanying audit reports (ISAE 3000 reports) in a number of different customer focused business areas, Statistics Denmark has external and independent documentation for a unique and systematic focus on data confidentiality and information security. , In this way, the certification and the audit reports reflect what characterises Statistics Denmark: a public organisation that lives, thinks and practises information security – every day without exception., About ISO 27001, ISO 27001 is an international management standard for information security, the purpose of which it is to e.g. set up systems for the protection of valuable information and personal data in a secure and reliable way. Among other things, ISO 27001 sets requirements to risk management, documentation of processes as well as the distribution of roles and responsibilities for information security. Furthermore, the purpose of ISO/IEC 27001 is to achieve efficient information security management as well as secure processes for continuous improvement. It means that the information security is constantly updated., Data confidentiality policy, Confidentiality in the handling of statistical products and other data materials is about protecting the statistical units against disclosure of information requiring confidentiality. This applies with respect to the surrounding world as well as Statistics Denmark’s employees., Rules to maintain data confidentiality are implemented in the data confidentiality policy with associated disclosure and statistical confidentiality guidelines as well as in the fixing of individual access rights to confidential information in Statistics Denmark., Data Confidentiality Policy at Statistics Denmark 2024 (pdf), Information security policy, Statistics Denmark's Information security policy 2026 (pdf), Privacy policy, In connection with your use of Statistics Denmark’s websites, we collect information about you. It is important to us that you feel safe using Statistics Denmark’s websites and for this purpose, we have prepared a Privacy policy., Privacy Policy, GDPR, In Statistics Denmark, we focus much attention on meeting the European General Data Protection Regulation (GDPR) and the Danish Data Protection Act, which supplements GDPR., Statistics Denmark’s compliance with GDPR (in Danish),  

https://www.dst.dk/en/OmDS/kvalitet-og-styring/datasikkerhed-i-danmarks-statistik

Documentation of statistics: Multiplier Tables

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Multiplier Tables 2022 , Previous versions, Multiplier Tables 2019, Multiplier Tables 2018, Multiplier Tables 2017, Multiplier Tables 2016, Economic multipliers measure the effect on e.g. production, income or employment at a detailed industry level, following a 1 million DKK "shock" to final use in an industry or in a final use category. Multipliers are not statistics in the traditional sense but may be termed more correctly as model calculations. As it is not entirely uncomplicated to calculate multipliers, a collection of the most used multipliers are made available for download this way. The statistics is a resume - now in electronic form - of the publication , Danish input-output tables and analyses, , that was published annually in a period up until 2011. , Statistical presentation, The tables contain a variety of multipliers, which can be considered a tool for assessing the impact of various "shocks" on demand. The tables are divided into three groups, production multipliers, employment multipliers and input multipliers. Each of these three groups is further subdivided into whether it is a shock to the demand in a particular industry or in a specific final use. In each table, it is also possible to further choose which type of multiplier you want to work with or what kind of employment you find most interesting. The multipliers are used when, for example, one wants to assess the effects of a possible shock to the demand. By multiplying a multiplier with the size of the shock, one can assess what effects it will have on production, employment, etc., Read more about statistical presentation, Statistical processing, The multiplier tables are based on already published data from Statistics Denmark, so the primary contribution that comes from these statistics is the statistical treatment of the basic material, which is done as a service for the users. Treatment is most easily done with software dedicated to the task and consists in working with data in matrix format and the use of certain matrix formulas picked up from the literature. One of the most important elements of the calculations is the compilation of the inverted matrix of inputs into the production - the so-called Leontief inverse matrix., Read more about statistical processing, Relevance, The multiplier tables are relevant for all those who would like to be able to calculate a general estimate of the effects on variables such as production, employment, imports etc.. when demand increases in an industry or one final use. It is an obvious choice for people who need to prepare and assess various policy initiatives who can use the multipliers to get an initial estimate of policy implications for key economic variables., The multiplier tables are ready to use and requires no prior knowledge of input-output modeling., Read more about relevance, Accuracy and reliability, The multipliers are the result of model calculations, which are based on national accounting statistics and input-output tables. In each section, polls and adjustments are made under assumptions, which together mean that the calculation process builds some uncertainty about the figures. At the most detailed level, therefore, one can not necessarily expect the results to be accurate representations of reality. Conclusions from the tables should be drawn with some caution, taking account of the uncertainties that may arise in the various stages of the process., Read more about accuracy and reliability, Timeliness and punctuality, The multipliers that build upon the national accounts input-output tables are published simultaneously with the final version of the national accounts approximately 30 months after the end of the reference year. Despite the fact that the numbers are 30 month old when published it is assessed that the degree of actuality in the numbers is quite high. The multipliers represent economic structures that changes quite slowly and therefore the numbers do not need to be as new and recent as numbers representing the state of the market economy. , Read more about timeliness and punctuality, Comparability, The input-output tables that make up the source for the multiplier statistics are fully coherent with the national accounts which makes the multipliers coherent as well. The classification of industries and final use categories are concurrent. The multipliers are published for the most recent final year of the national accounts because multipliers in current prices are not comparable over time. To the extent that similar multipliers are calculated in other countries a high degree of comparability can be expected., Read more about comparability, Accessibility and clarity, The statistics is published in the , Statbank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/multiplier-tables

Documentation of statistics