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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

Documentation of statistics: Transport by Ferries and Passenger Ships

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , POT@dst.dk , Get documentation of statistics as pdf, Transport by Ferries and Passenger Ships 2025 Quarter 3 , Previous versions, Transport by Ferries and Passenger Ships 2025 Quarter 1, Transport by Ferries and Passenger Ships 2024 Quarter 1, Transport by Ferries and Passenger Ships 2023 Quarter 1, Transport by Ferries and Passenger Ships 2022 Quarter 1, Transport by Ferries and Passenger Ships 2021 Quarter 4, Transport by Ferries and Passenger Ships 2021 Quarter 3, Transport by Ferries and Passenger Ships 2021 Quarter 2, Transport by Ferries and Passenger Ships 2021 Quarter 1, Transport by Ferries and Passenger Ships 2020 Quarter 4, Transport by Ferries and Passenger Ships 2020 Quarter 3, Transport by Ferries and Passenger Ships 2020 Quarter 1, Transport by Ferries and Passenger Ships 2019 Quarter 4, Transport by Ferries and Passenger Ships 2019 Quarter 3, Transport by Ferries and Passenger Ships (Quaterly) 2019 Quarter 2, Transport by Ferries and Passenger Ships 2019 Quarter 1, Transport by Ferries and Passenger Ships 2018 Quarter 4, Transport by Ferries and Passenger Ships 2018 Quarter 3, Transport by Ferries and Passenger Ships 2018 Quarter 2, Transport by Ferries and Passenger Ships 2018 Quarter 1, Transport by Ferries and Passenger Ships 2017 Quarter 4, Transport by Ferries and Passenger Ships 2017 Quarter 3, Transport by Ferries and Passenger Ships 2017 Quarter 2, Transport by Ferries and Passenger Ships 2017 Quarter 1, Transport by Ferries and Passenger Ships 2016 Quarter 4, Transport by Ferries and Passenger Ships 2016 Quarter 3, Transport by Ferries and Passenger Ships 2016 Quarter 2, Transport by Ferries and Passenger Ships 2014 Quarter 3, The purpose of the statistics on transport by ferries and passenger ships is to describe the transport of passengers and goods by ferries and passenger ships on domestic routes and in traffic between Danish and foreign ports., The statistics are together with the other transport statistics used for analyses of the transport of passengers and goods. In the current form the statistics has been made since 1990., Statistical presentation, The statistics on transport by ferries and passenger ships are a monthly and annual statistics on the transport of passengers and goods by ferries and by passenger ships between Danish ports or between Danish and foreign ports. , The most important variables used in the statistics are: Trips, passengers, vehicles, goods on road vehicles and other goods., The statistics are published annually in , Nyt fra Danmarks Statistik, and quarterly in the Statbank., Read more about statistical presentation, Statistical processing, Data for the statistics are collected through an electronic questionnaire. The statistics cover all ferry lines and passenger ships with goods or passenger traffic in route to or from Denmark., The response rate is 100 percent., Data are checked both automatically and manually at the time of data collection and in case of large deviations or missing reports the reporting company is contacted again. For a few operators the total freight weight is imputed based on the number of freight vehicles reported. The validated micro-data is aggregated and then checked for major fluctuations., Read more about statistical processing, Relevance, The statistics are used regularly by new media, consultancies, business associations, port enterprises, shipping lines and other enterprises as well as Eurostat for e.g. analyses of maritime traffic, investments in infrastructure, analyses of the maritime transport sector, economic development and environment., Read more about relevance, Accuracy and reliability, The statistics is assessed to be reliable as the main series are based on financial information from the reporters (ticket sale). Furthermore the reporters are obliged to monitor the number of passengers and vehicles onboard., There is few and minor revisions and few errors are found in reported data., The smallest ferry lines are not included in the statistics. Usually this is lines to the smallest Danish islands or crossing fjords., In the main series uncertainty is largest for goods by goods motor vehicles that in some cases are estimated based on the number of goods motor vehicles. Additionally, the number of bicycles and caravans are uncertain., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics are published around 55 days after the end of the quarter. Since statistics for the first quarter 2012 the statistics has been published at the pre-announced date., Read more about timeliness and punctuality, Comparability, In its present form the statistics is consistent since 1990 for annual figures and 2000 for monthly figures. The statistics are processed according to common EU guidelines and therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release at the same time as the tables are updated in the Statbank. In the Statbank, these statistics can be found under the subject , Passengers and routes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-ferries-and-passenger-ships

Documentation of statistics

Documentation of statistics: Population Projections

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Population Projections 2025 , Previous versions, Population Projections 2024, Population Projections 2023, Population Projections 2022, Population Projections 2021, Population Projections 2020, Population Projections 2019, Population Projections 2018, Population Projections 2017, Population Projections 2016, Population Projections 2015, Population Projections 2014, A population projection gives an estimate of the size and composition of the future population with respect to sex, age, municipality and origin. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development in recent years continues. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., Statistics Denmark has prepared population projections since 1963. Since 2010, the projections have been produced in collaboration with DREAM (Danish Research Institute for Economic Analysis and Modelling), which is an independent institution whose purpose it is to develop and maintain tools for structural policy analysis. , Statistical presentation, Based on the projection for all of Denmark, Statistics Denmark subsequently makes projections that can be disaggregated by sex, age, provinces and municipalities. As part of the projections, figures are also available on demographic changes in terms of liveborn children, deaths, immigrants and emigrants., Read more about statistical presentation, Statistical processing, The population projections are based on historical data regarding the composition of the population in terms of sex, age and ancestry as well as fertility, mortality, immigration and emigration, and internal migration., Assumptions on the future development in fertility, mortality and migration are necessary to be able to make the projections., The projections are made every year using the population on 1 January. They are released in the beginning of May., A projection is made for the whole country as well as projections for the 11 provinces and 98 municipalities., Read more about statistical processing, Relevance, The projections for municipalities are widely used by the municipalities, and they create the basis for the municipalities’ own projections, which often incorporate a number of local factors that are not part of Statistics Denmark’s projections. The municipalities may use the projections in their planning of institutions, schools and the need for nursing homes in the future. Local media across the country take great interest in Statistics Denmark’s projection., Read more about relevance, Accuracy and reliability, The population projection is built on previous years’ development and is an estimate of the population development. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development seen in recent years will continue. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., In 2024 the projection for Denmark was 0.1 percentage points below actual population growth. To a wide extent, the uncertainty at municipal level is linked to the fact that local development plans and local decisions are not part of the model. Especially in 2020 and 2021, the COVID-19 pandemic has created uncertainty. In 2024, 60 per cent of the municipalities were within minus 0.5 percentage points of the actual population growth the first year. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics have been published as announced without delay in the month of May or June., Read more about timeliness and punctuality, Comparability, Each projection is a new set of statistics and must not be used for time series together with previous projections., With the projection 2010, Statistics Denmark made the projection for all of Denmark for the first time in collaboration with DREAM, and in connection with this, a switch was made to a new projection model based on DREAM’s previous model., Read more about comparability, Accessibility and clarity, The population projections are published in Nyt fra Danmarks Statistik (Statistics Denmark’s news series in Danish) under the subject , Population projections, . For further information, go to the subject page for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/population-projections

Documentation of statistics

Documentation of statistics: National Accounts: Annual

Contact info, National Accounts, Climate and Environment, Economic Statistics , Christina Just Brandstrup , +45 21 45 52 79 , CJB@dst.dk , Get documentation of statistics as pdf, National Accounts Annual 2024 , Previous versions, National Accounts 2023, National Accounts 2022, National Accounts 2021, National Accounts 2020, National Accounts 2019, National Accounts 2018, Annual national accounts, total economy 2017, Annual national accounts, total economy 2016, Annual national accounts, total economy 2015, Annual national accounts, total economy 2014, Annual national accounts, total economy 2013, The national accounts are a description of a country's economy and its development. It consists of a description of the economy as whole and the economic transactions between individuals, companies and institutions. The national accounts also include transactions between Denmark and abroad. The first Danish national accounts date back to the 1930's. Consistent time series of annual national accounts goes back to 1966, while quarterly national accounts are available as of first quarter 1990., Statistical presentation, The National Accounts provide an overview of the activities and developments in the Danish economy. The statistics include figures for economic aggregates such as gross domestic product (GDP), household consumption, government finances, investment, export and import, employment and wages, and profits and productivity in the various industries. In addition, there are figures for the many subdivisions that can illuminate different 'sections' throughout the Danish economy., Read more about statistical presentation, Statistical processing, Virtually all available economic statistics are applied as data sources when making the national accounts. When the first version for a given period is prepared, it takes place before all information about the period is available. Then the calculations are made on the basis of the structure of the latest final national accounts, which is projected with indicators from, for example, cyclical statistics. When new sources are ready, they are continuously incorporated into the national accounts according to a fixed rhythm. Three years after a given period, the national accounts are considered to be final., Read more about statistical processing, Relevance, The National Accounts are relevant to anyone involved in economic matters ranging from the economic ministries use of the National Accounts in planning, analysis, forecasting and modeling purposes for industry organizations and other similar organizations, to the general interest in knowledge of the economy’s structure and development. The National Accounts division is evaluating feedback from users at an ongoing basis., Read more about relevance, Accuracy and reliability, The ability of the National Accounts to describe the economic reality accurately partly depends on the uncertainty associated with the sources and partly on the model assumptions underlying the calculation of the national accounts. Some parts can be calculated more accurately than others, as there is better access to source data. The first versions for a period's national accounts will be more uncertain than the final version, which comes after three years, as new sources are continuously revised., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly national accounts is published 50 days after the end of the quarter. In connection with the publication of the fourth quarter at the end of February, the first version of the annual national accounts is also published. Almost two and a half years after the end of the year, the final annual and quarterly national accounts are published in June. The national accounts are published in a timely manner., Read more about timeliness and punctuality, Comparability, The national accounts are prepared in accordance with international guidelines and will therefore be comparable across countries. The current guidelines were implemented in 2014 and are used to revise the national accounts back to 1966. The national accounts reflect all parts of the economy, so most economic statistics contain figures that have their counterparts in the national accounts. However, be careful to compare figures from the national accounts with other economic statistics, as the transition is often complicated by different definitions and requirements for coverage. However, the national accounts are in full compliance with the balance of payments and government finance statistics., Read more about comparability, Accessibility and clarity, The National Accounts statistics are published in the StatBank under , Economy, and , National accounts, . The publications are accompanied by Danish press releases., Read more about accessibility and clarity

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

Documentation of statistics

Unemployment concepts

There are three different unemployment concepts – net unemployment, gross unemployment and LFS unemployment., Statistics Denmark regularly publishes two sets of unemployment statistics, which use different unemployment concepts and consequently result in different unemployment figures. The register-based unemployment statistics, which assess net unemployment and gross unemployment, and the interview-based Labour Force Survey (LFS), which assesses LFS unemployment. , Net unemployment covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and not in job activation. The numbers are converted into ‘full-time equivalent (FTE) unemployed persons’. , In addition to net unemployment, gross unemployment also covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and in job activation, including persons employed with wage subsidies, also converted into ‘FTE unemployed persons’. , LFS unemployment covers persons who indicate in the Labour Force Survey that they were not in employment during the week that the survey took place, , and, that they actively sought employment in the four weeks up to the week in which the survey took place, , and, that they were able to start a job within two weeks. , When to use which unemployment concept, In Denmark, gross unemployment is the most common unemployment concept used in the debate. Gross unemployment (and net unemployment, which is a subset hereof) gives monthly details on unemployment, e.g. at municipal level, broken down by age groups or by unemployment insurance funds. Moreover, gross unemployment is ideal for highlighting the extent of part-time unemployment and for linking with other register variables such as education and country of origin. LFS unemployment is mainly used in international comparisons of unemployment rates and trends in different countries. Furthermore, the LFS can show the extent of unemployed persons who are not entitled to unemployment benefits or cash benefits, or be used to assess the number of persons who want to find a job. , Overview of unemployment concepts,  , LFS unemployment, Net unemployment , Gross unemployment, Based on, QUESTIONNAIRE, (figures from the Labour Force Survey), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), Is, sample-based questionnaire , survey with 72,000 interviews each year, register-based complete census, register-based complete census, Published, quarterly, monthly, monthly, Unemployed persons, Complies with the international ILO definition:, - are completely jobless and, - are available to take up employment and, - have carried out activities to seek employment, are registered as unemployed recipients of unemployment benefits or job-ready recipients of cash benefits, excl. those in activation, are registered as unemployed recipients of unemployment benefits, incl. those in activation, What is, counted, number of PERSONS, persons converted to FTE PERSONS, persons converted to FTE PERSONS, Time series, in Statbank Denmark , From 2008, From 1979, From 2007, Strengths, - useful in international comparisons, - shows also unemployed persons who are not entitled to unemployment benefits or cash benefits, - shows persons who want to get a job, - shows youth unemployment (15-24-year-old persons), - allows for supplementary questions, - a monthly flash unemployment indicator , - a long time series from 1979, - shows small groups of persons , - shows available hours, - shows breakdown by unemployment benefit funds , - linkage with other register variables, - a monthly flash unemployment indicator , - shows small groups of persons, - shows available hoursr, - shows breakdown by unemployment benefit funds, - linkage with other register variables, Weaknesses, - statistical uncertainty, - high uncertainty for small groups, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits,  ,  

https://www.dst.dk/en/Statistik/dokumentation/metode/ledighedsbegreber

Documentation of statistics: Economic Accounts for Agriculture

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , sit@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2024 , Previous versions, The Economic accounts for agriculture is a macroeconomic accounting system that illustrates the overall economy of the agricultural sector by providing accounts of production, intermediate consumption, gross investment, and other flows. As a satellite account under the European system of national accounts, this statistic represents the agricultural sector’s contribution to the National Accounts. In 2024, the statistic Gross factor income of agriculture was replaced by the Economic accounts for agriculture, which is regulated by an EU regulation. Accounts for Gross factor income of agriculture are available back to 1935, while the Economic accounts for agriculture in its current form are comparable from 1990 onwards., Statistical presentation, The Economic accounts for agriculture is an annual compilation of the agricultural sector’s economic activities, including the value of production (output), intermediate consumption, and gross investments. In addition, subsidies, labour input, and the sale of pesticides and mineral fertilizers are presented in separate, dedicated tables. The economic activities are compiled at basic prices and expressed in million DKK, both at current prices and at previous year’s prices. The statistics are compiled at both national and regional level. The agricultural labour input is measured in thousand annual work units (AWU). Direct subsidies to the agricultural sector are presented in million DKK. The sale of mineral fertilizers is compiled in tonnes., Read more about statistical presentation, Statistical processing, The Economic accounts for agriculture is a composite statistical product, which means that its calculation basis is built on existing statistics, referred to as primary statistics. The statistics are compiled annually using data from a range of different sources, e.g., the Farm Accountancy Data Network and Feed Production Statistics, as well as from administrative registers, industry organizations, companies, and foundations. Once the data in each primary statistic has been processed, it is transferred to and consolidated in the data processing system for the Economic accounts for agriculture, which calculates the annual values. The value of each product is calculated using the standard “quantity times price” method., Read more about statistical processing, Relevance, The Economic accounts for agriculture are relevant for Danish authorities, the EU, research institutions, and agricultural organizations, as they allow monitoring of developments in the economic activities of the agricultural sector. The statistics also serve as input for the compilation of the National Accounts., Read more about relevance, Accuracy and reliability, The uncertainty in the Economic accounts for agriculture is linked to the uncertainty in the primary statistics used for its compilation. For example, issues such as timing can introduce uncertainty, while other information, such as data from dairies and slaughterhouses, is exact. For preliminary calculations, some estimates are based partly on expert judgment and assumptions until the final data are processed in the primary statistics; therefore, the statistics are considered final only after two years. The sold quantities of mineral fertilizers from the Danish Agency for Green Conversion and the Environment are associated with a certain degree of uncertainty. The data come from the annual collection of sales figures, in which companies with registered products are asked to report the quantities sold of those products. Companies have the option to indicate tax-exempt quantities, but this is voluntary, and not all companies use this option. The data collection does not include self-imports, and some products may be double-counted if a company has not used the option to report a sold quantity as tax-exempt. The data quality is therefore directly dependent on the information provided by the companies to the Agency., Read more about accuracy and reliability, Timeliness and punctuality, Preliminary figures for the Economic accounts for agriculture are published no later than 10 months after the end of the reference year. Revised, yet still preliminary, figures are published 22 months after the end of the reference year. Final figures are published no later than 2 years and 10 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The Economic accounts for agriculture replace the Gross Value Added of Agriculture and are published for the first time in 2025 for the years 2022, 2023, and 2024. They are directly comparable with the Gross Value Added of Agriculture, which can be traced back to 1990, while older compilations exist back to 1935. Unlike the Gross Value Added of Agriculture, the Economic accounts for agriculture include changes in farm stocks and livestock in sales values and present sales values at basic prices. In addition, the compilation contains a number of financial accounts that are not included in the Gross Value Added of Agriculture. As a satellite account, the Economic accounts for agriculture are comparable with the National Accounts’ compilations for the agricultural sector., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . In StatBank, the Economic accounts for agriculture are available under the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economic-accounts-for-agriculture

Documentation of statistics

The Enterprise Package

Get An overview of Denmark’s imports and exports of goods , The Enterprise Package is a standard solution specifically suited for private companies wishing to follow the foreign trade in certain goods. It may be items that you already deal with or goods you intend to import or export in future., Identify opportunities and challenges, The starting point of the package is the products you wish to map. The actual list shows how much is imported and exported of a particular product and to and from which countries the product is imported and exported. The list contains both figures for the quantity and the value., You can use the product as a tool for analysis, e.g. if you want to:, Identify potential export opportunities, Know how much of a particular product is imported into the domestic market, Find economic growth areas for particular products, Content and documentation, Data are based on extracts from Statistics Denmark's table KN8MEST. and contains monthly, quarterly and yearly figure. The figures are summed up by quarters and years, but since data for the past month only include trade with Extrastat countries, the most recent quarter and year are incomplete. The price per kg is a calculated value and if a unit other than kg occurs, then that price per unit is also calculated. Below you can see an example of a delivery., Example of a delivery, Reliability,  for errors , Date of publication, Revisions of the figures, Read the documentation and more about the content of the foreign trade statistics here., Prices, Depends on the number of product codes you want data for. Prices range from , DKK 2,921 excl.,  , VAT,  (DKK 3,651.25 incl. VAT) for 1-8 product codes to , DKK 37,394 excl. VAT , (DKK 46,752.50 incl. VAT) for more than 200 product codes. Prices are covering data delivery for a full calendar year. The package contains monthly, quarterly and yearly figures., Price list - the Enterprise package_2023, Delivery, You will receive the tables once a month in Excel and we will send them by e-mail. The package contains monthly, quarterly and yearly figures. The first delivery (January figures) takes place in March. The December figures for the subscription year will be delivered in February of the following year. If you start a subscription in eg. August, you will receive figures for the part of the year that has passed (+ the year before) in the first delivery and then figures for one new month each month, until the last figures for the calendar year/reference year have been received. , ORDERING, Click on the link below and complete the form., Order, Please note that by ordering you accept , Statistics Denmark's General Terms and Conditions of Agreements, CONTACT INFORMATION, DST Consulting, Tel. +45 3917 3600, Amy Frølander, tel. +45 39 17 37 49, TAILOR-MADE SOLUTIONS, It is also possible to combine the tables with other variables or have them combined in a different way than in our standard tables. Read more about our , tailor-made solutions, or send an email to our consultants at , DST Consulting, .

https://www.dst.dk/en/TilSalg/produkter/erhvervsliv-og-handel/firmapakken

Documentation of statistics: Financial accounts for general government

Contact info, Government Finances, Economic Statistics , Jacob König , +45 40 40 58 41 , COB@dst.dk , Get documentation of statistics as pdf, Financial accounts for general government 2025 , Previous versions, Financial accounts for general government 2023, Financial accounts for general government 2022, Financial accounts for general government 2021, Financial accounts for general government 2020, Financial accounts for general government 2019, Financial accounts for general government 2018, Financial accounts for general government 2017, Financial accounts for general government 2016, Financial accounts for general government 2015, Financial accounts for general government 2014, The purpose of the quarterly financial accounts for general government is to present a detailed picture of the holdings, transactions (buying and selling), other changes in volume and revaluations of financial assets/liabilities by financial instruments., To ensure international comparability the statistics comply with the European System of Accounts - ESA 2010., The annual financial accounts for general government has been published since 2001 while the quarterly financial accounts has been published since June 2002. The statistics is available from Q1 1995 and onwards., Statistical presentation, Quarterly financial accounts make up a consistent system, showing the financial flows and net worth of the general government sector of the economy over time. The financial accounts for the general government sector, the financial (transactions) account, which shows buying and selling of financial instruments, describes an important part of the transition from the opening balance sheet account to the closing balance sheet account. Because the financial instruments are valued at market price, another important part of the transition is made up by revaluations, which are shown in the revaluation account. The remaining part is found in the account of other changes in volume, showing e.g. losses on debtors and relocations of units between sectors. As a general rule opening balance sheet + financial transactions + revaluations + other change in volume = closing balance sheet should always hold. When published the revaluation account and the account of other change in volume are combined. The statistics is published both consolidated and unconsolidated and with counterpart information for the domestic and foreign sector, respectively. The economic measures and consequences of the COVID-19 pandemic affects the financial accounts for the general government, but the data quality is not significantly reduced., Read more about statistical presentation, Statistical processing, The main sources are the accounts of central and local government as well as social security funds. Additional information are received from, among others, the Central Bank. , Data are mainly received on a quarterly basis and validated using other data sources and, when necessary, directly with the data providers., The financial accounts for general government has with the compilation of Q2 2020 been revised for the period 2017-2020 as part of a major collaboration with Danmarks Nationalbank on the overall financial accounts for Denmark., Read more about statistical processing, Relevance, The users of , Quarterly financial accounts, are primarily expected to be Danmarks Nationalbank, financial institutions, economic ministries, lobby organizations, financial analysts (in general for the purpose of analysis, forecasting and modeling)., Read more about relevance, Accuracy and reliability, The quarterly financial accounts are based on a number of sources that may be influenced by a certain degree of inaccuracy, which may affect the quarterly financial accounts. Because of the consistency checks and the data confrontations carried out, the influence of the inaccuracy of the sources is, however, reduced., In principle, it is not possible to measure the level of inaccuracy. However, the net lending/net borrowing across the general government sector, which are calculated before the final balancing is carried out, are comparable with the same measure in the non-financial accounts. The differences can be regarded as a measure of accuracy for the national accounts as a whole., Read more about accuracy and reliability, Timeliness and punctuality, Data is published approximately at t+3 months., High degree of punctuality: Data has been published at the announced time since the first publication in 2003., Read more about timeliness and punctuality, Comparability, Comparison over time is high as there are no significant breaks in the time series, and none at all for the last 10 years., Internationally the level of comparison is high as the Danish national accounts follow the ESA 2010 guidelines., Read more about comparability, Accessibility and clarity, Current publications: The statistics are published in , News from Statistics Denmark (Nyt fra Danmarks Statistik, ), and in the series , Statistical News (Statistiske Efterretninger), ., Yearbooks:, Statistical Yearbook (Statistisk Årbog), and , Statistical Ten-year Rewiev (Statistisk Tiårsoversigt), ., http://www.Statbank.dk: Annually financial accounts and Quarterly financial accounts for the general government sector (updated quarterly) (OFF13 and OFF22)., Subject page: , Financial accounts, government finance, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-accounts-for-general-government

Documentation of statistics