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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

Contact: Denmarks Data Portal

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Nikolaj Borg Burmeister , +45 29 47 58 06, nbu@dst.dk, Senior Adviser, Senior Adviser, Anette Björnsson , +45 29 32 70 66, abb@dst.dk, Executive chief consultant, Executive chief consultant, Erica Born Ahrenfeldt , +45 24 79 31 84, eaf@dst.dk, Executive chief consultant, Executive chief consultant, Eva Thorborg Mørk , +45 21 12 12 58, etm@dst.dk, Senior Head Clerk, Senior Head Clerk, Ane Eiðisgarð , +45 21 33 71 48, aei@dst.dk, Senior Head Clerk, Senior Head Clerk, Lene Eddy Stegemüller , +45 24 94 02 83, les@dst.dk, Research Services, Chief Adviser, Chief Adviser, Karin Ørum Elwert , +45 29 32 96 12, kae@dst.dk, Chief Adviser, Chief Adviser, Leif Jensen , +45 51 68 99 87, lei@dst.dk, Chief Adviser, Chief Adviser, Charlotte Leolnar Reif , +45 24 60 34 73, clr@dst.dk, Chief Adviser, Chief Adviser, Helle Wallach Kildemoes , +45 21 43 61 85, hwk@dst.dk, Senior Adviser, Senior Adviser, Oskar Enghoff , +45 20 14 58 38, oen@dst.dk, Senior Adviser, Senior Adviser, Maya Hussain-Engberg , +45 21 44 06 76, mae@dst.dk, Senior Adviser, Senior Adviser, Thomas Christian Lauterbach , +45 24 92 62 69, tce@dst.dk, Senior Adviser, Senior Adviser, Anne-Louise Hother Nielsen , +45 21 77 83 62, hon@dst.dk, Senior Adviser, Senior Adviser, Hanne L. Petersen , +45 51 48 38 00, hlp@dst.dk, Senior Adviser, Senior Adviser, Susanne Vind , +45 29 17 86 77, sbv@dst.dk, Senior Adviser, Senior Adviser, Morten Winkler , +45 24 78 53 49, kle@dst.dk, Head of Section, Head of Section, Marianne Andresen , +45 29 67 53 13, mia@dst.dk, Head of Section, Head of Section, Nanna Dietrich , +45 21 17 56 44, ndi@dst.dk, Head of Section, Head of Section, Malthe Frøkjær-Rubbås , +45 21 14 53 48, mrb@dst.dk, Head of Section, Head of Section, Maria Rudkjær Henriksen , +45 29 61 79 12, mmk@dst.dk, Head of Section, Head of Section, Birgitte Hollegaard , +45 40 18 46 33, bho@dst.dk, Head of Section, Head of Section, Lasse Hørby Madsen , +45 21 13 85 12, lby@dst.dk, Head of Section, Head of Section, Mark Ove Jensen , +45 23 66 37 19, mov@dst.dk, Head of Section, Head of Section, Jon Runar Jensen Larsen , +45 20 37 17 97, jru@dst.dk, Head of Section, Head of Section, Nikola Nedic , +45 21 44 01 67, nic@dst.dk, Head of Section, Head of Section, Julie Nielsen , +45 20 37 02 74, jui@dst.dk, Head of Section, Head of Section, Naghmeh Rahmanfard , +45 29 39 17 44, nra@dst.dk, Head of Section, Head of Section, Carolina Rizzato , +45 20 11 54 49, mcz@dst.dk, Head of Section, Head of Section, Faten Saleh , +45 21 43 20 42, fas@dst.dk, Head of Section, Head of Section, Berit Taul , +45 24 52 21 02, bpd@dst.dk, Head of Section, Head of Section, Amanda Grønbjerg Vrå , +45 23 29 13 73, agv@dst.dk, Head of Section, Head of Section, Nicolai Østenlund , +45 30 36 34 95, neo@dst.dk, Bachelor, Bachelor, Ronaldas Aliubavicius , +45 30 58 06 71, roa@dst.dk, Student, Student, Lukas Treppendahl , +45 21 57 44 70, ltl@dst.dk, System Analyst, System Analyst, Tina Jeannette Hagendam , +45 20 41 49 28, tjh@dst.dk, System Analyst, System Analyst, Nicolai Jacob Kofod-Jensen , +45 21 84 69 90, nkj@dst.dk, System Analyst, System Analyst, Morten Lindboe , +45 51 72 33 20, mtl@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=13&tlfbogsort=sektion

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: 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

Documentation of statistics: Slaughter Animals and Meat Production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Slaughter Animals and Meat Production 2025 , Previous versions, Slaughter Animals and Meat Production 2024, Slaughter Animals and Meat Production 2023, Slaughter Animals and Meat Production 2022, Slaughter Animals and Meat Production 2021, Slaughter Animals and Meat Production 2020, Slaughter Animals and Meat Production 2019, Slaughter Animals and Meat Production 2018, Slaughter Animals and Meat Production 2017, Slaughter Animals and Meat Production 2016, Slaughter Animals and Meat Production 2015, Slaughter Animals and Meat Production 2014, The purpose of slaughter animals and meat production is to show the size and value of total production of animals for slaughtering and meat. The statistics are used, among other things, to follow the Danish production of slaughter animals and meat in the slaughterhouses. The statistics have a long history and the key figures covering the past 100 years are comparable. During the 1920s and 1930s the statistics were improved and since the Second World War there has been adequate statistics in this area, but is in its present form comparable from 1990 to the year, while the monthly figures are from 1995 onwards., Statistical presentation, The statistics on slaughter animals and meat production are published as monthly and annual statements of slaughtering at slaughterhouses, distributed by cattle, pigs, sheep and lambs, poultry and horses. Information on the number of animals slaughtered and live exported animals as well as the production of meat (amount of edible meat in kg). The statistics also provide data on a wide range of prices and price quotations. Among other things average prices per kg slaughtered weight and sales value in mill. DKK for the individual categories of animals. The statistics are only calculated for Denmark as a whole., Read more about statistical presentation, Statistical processing, The statistics on slaughtering of animals cover all slaughtered animals by Danish slaughterhouses distributed by cattle, pigs, sheep and lambs, poultry and horses. The statistics are broken down by category of animals. To this is added the external trade statistics providing data on live animals. The statistics provide information on the number of slaughtered and live animals exported and meat production (the quantity of edible meat in kg). The figures on production only cover meat for human consumption. The statistics also provide data on a wide range of prices and price quotations., Read more about statistical processing, Relevance, The purpose of these statistics are to show the size and value of the production of animals for slaughtering and meat production. The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on slaughtering are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is mandatory for farmers to report which animals leave the property and where they come. At the same time, it is mandatory for slaughters to register all animals that are slaughtered. In the slaughterhouses, the slaughter weight, the assessment of the carcase, etc. the register of each animal, which includes used to settle the animal. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated down payment paid by the cooperatives and only realized after the end of the year and can thus cause uncertainty about the accrual., Read more about accuracy and reliability, Timeliness and punctuality, Data are published 1½ months after the end of the reference period for monthly and quarterly figures, while annual figures are published approx. 4-5 months after the end of the reference period. The statistics are normally published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Every month and year figures are submitted to the statistical office of EU, Euro stat. Data for all EU countries can be found at Eurostat homepage. The statistics are produced following the principles of an EU regulation, so the results are comparable., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, at the same time as the tables are updated in the StatBank. Annual figures are included in , Statistical Yearbook until 2017, and , Statistical Ten-Year review, Old data are included in yearly publication , Landbrug, (Explaining, methodological text is only in Danish) and , Landbrugsstatistik 1900-1965, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/slaughter-animals-and-meat-production

Documentation of statistics

About microdata schemes

Denmark's Data Portal makes data available to authorised institutions for specific research, fact-finding and analytical tasks. Access to data can be granted under various data schemes depending on the institution or the project to which you seek access., The researcher scheme , Researchers and other analysts from authorised institutions can create a project with access to Statistics Denmark’s register data. , Read more about authorisation of institutions, The project database scheme , The project database scheme is intended for institutions that are continuously creating projects with significant overlap in data content. Under this scheme, it is not allowed to carry out research directly on the project database, and the scheme must not be used for projects or tasks that are not directly related to the purpose of the project database. Furthermore, the institution must have one or more employees at who can serve as project database managers, of whom at least one can functions as an administrator. The duties of the project database manager include population generation, data extraction etc. as well as ongoing communication with Statistics Denmark., If you want to apply for a project database to be set up, you must contact the Project database group at , FSEProjektdatabase@dst.dk, ., More on the project database scheme, An authorised institution can have a maximum of one project database. The project database is a collection of pseudonymised microdata. It is used over time for multiple projects (called subprojects) under the relevant project database scheme., For the project database, data is selected from Statistics Denmark’s databank of basic data and, if relevant, data from other sources (such as the institution’s own data). The data content in project databases is subject to the data minimisation principle, and for that reason, data in a project database must be applied in several subprojects., In the project database scheme, the project database is called the main project. Other projects in the project database scheme are subprojects of the project database. The authorised institution that owns the project database therefore owns both the main project and the subprojects in the scheme., The target group of the project database scheme is institutions that:, are authorised for microdata schemes at Statistics Denmark., have at least five active projects with significantly overlapping data., continuously extend their project portfolio with new subprojects with significant overlap in the underlying data., Terms of a project database scheme, Project databases are subject to the following terms:, The institution is required to appoint one to three experienced project database managers who will be the assigned liaison officers with Statistics Denmark. Only project database managers get access to the actual project database., The project database and subprojects are subject to the data minimisation principle., The user must pay for all costs associated with the creation, operation and maintenance of the relevant project database. Subprojects are considered regular projects and are handled and invoiced separately., You can keep a project database going for as long as it is used for active subprojects. The project database can only be preserved as long as it is used for subprojects to an extend that is consistent with the data made available in the project database. The project database can thus be limited or discontinued if Statistics Denmark estimates that this is no longer the case., The authority scheme, The authority scheme makes microdata available to Danish institutions that carry out tasks for the authorities, i.e. departments, agencies and directorates, regions and municipalities. The scheme meets the demand for ad hoc analyses with tight deadlines. , Read more about the Authority scheme,  (in Danish), Data confidentiality and access rules, Access to data is given in agreement with the principles of the General Data Protection Regulation, especially article 5(1)(c): , “Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (‘data minimisation’).” , This also applies to section 10 of the Danish Data Protection Act: , “Data as mentioned in Article 9(1) and Article 10 of the General Data Protection Regulation may be processed where the processing takes place for the sole purpose of carrying out statistical or scientific studies of significant importance to society and where such processing is necessary in order to carry out these studies.” , Read more on Statistics Denmark’s Data confidentiality policy and Information security policy 

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/om-mikrodataordninger

Statistics Denmark takes the lead in a new project in Jordan

A new Twinning-project financed by the European Union was launched in Amman, Jordan. The aim of the project is to strengthen Jordan’s Department of Statistics’ capacity in line with International and European best practices., 9 February 2023 13:00 ,  , February 06, Amman, - The European Union (EU) and Jordan’s Department of Statistics (DoS) launched today their Twinning Project on Statistics, which aims to strengthen the latter’s capacity in terms of compilation, analysis and reporting of statistical data in line with International and European best practices. ,  , In cooperation with DoS, the 1.5 million Euro project is being implemented by Statistics Denmark, the German Federal Statistical Office (Destatis), the Italian National Institute of Statistics (Istat), and Statistics Lithuania – State Data Agency, with support from Statistics Finland to implement the 24-month Twinning project on statistics., The Project underpin an increase of DoS capacity’s interactions with the EU and support in focusing directly on improving staff skills and enhancing more efficient processes and structure.,  , This Twinning project will focus on strengthening and developing Jordan’s business and population statistics in line with best international practices through the incorporation of administrative data sources. Furthermore, it aims to improve the statistical data the DoS produces by creating new, high-quality statistics with more detailed breakdown by geography and population. Finally, the project will focus on updating and strengthening current methodologies, particularly for survey-based data.,  , Participants in the launch of the twinning project.,  , The Technical Assistant to the Director General of the Jordanian Department of Statistics, Dr. Tayser Muqdadi, inaugurated the opening ceremony and emphasized the importance of the European Union and DoS partnership, as this is the second Twinning project that is being funded by the European Union in cooperation with DoS. And this demonstrates the growing partnership with the EU. In addition, he also stressed that “This project will contribute to the shared knowledge transfer process in order to enhance the department's capacity to provide precise and credible economic and social statistical data for policy and decision makers and researchers, and that is one of the reasons why twinning projects are crucial tools for EU delegations to transfer and localize European expertise in beneficiary countries according to European standards and best practices.”,  , Mr. Patrick Lambrechts, the First Counsellor and Head of Cooperation of the EU Delegation to Jordan, noted that the EU’s partnership with the DoS will allow Jordan to further adapt to statistical standards for official statistics. “Improving the accuracy of official statistics will assist policymakers in making decisions based on solid data from trustworthy sources.” Mr. Lambrechts added that the project focuses on laying the groundwork for the development of a fully integrated administrative data system by developing a Statistical Business Register. This will improve the quality of population estimates. Furthermore, the Twinning project will develop statistical methodologies for estimating small-area statistics on poverty., Director of Communication and Methodology, Statistics Denmark, The Director of Communication and Methodology Mr. Carsten Zangenberg from the leading Member State Institution, Statistics Denmark, initiated his speak by saying that that today is marking the beginning of a broad collaboration on best practice within a number of statistical disciplines between Department of Statistics in Jordan and five acknowledged National Statistical Institutions from EU.. Mr. Carsten Zangenberg further emphasized that users today have significantly more places to search for fact than before. Therefore, sound methodology as well as clear communication by providers of official statistics is increasingly essential. Mr. Carsten Zangenberg continued after a short break by giving a presentation on the use of administrative data for an improved statistical production with focus on challenges and benefits for National Statistical Institutions, data provider as wells as users. , The Vice president of the Federal Office of Statistics in Germany and Junior project leader Mr. Christoph Unger continued by talking about steps about a register-based census in Germany and highlighted the type of knowledge transfer that this project will adapt to regarding combined methods and the building-up of registers, and added ” without official statistics there would be no trust in statistics, there would be no evidence-based decision-making on the part of our politicians and governments, and our citizens would not trust that we protect their data and work with it in a responsible way for the benefit of society".,  , Mr. Peter, Bohnstedt, Anan Hansen,, Chief Advisor in International Consulting of Statistics Denmark and the Lead Member State Project Leader, and Eng. Mohammad Khalaf, Director of Sustainable Development Unit, Department of Statistics presented the implementation roadmap for the project in order to achieve the project's milestones and mandatory results through conducting training programs, specialized missions, workshops, and study visits which will develop the work of Jordan’s Department of Statistics. ,  , The event was attended by representatives from several Ministries, Public Departments, International Organizations and strategic partners of the DoS.,  

https://www.dst.dk/en/consulting/news-from-international-consulting/2023/09-02-2023-Statistics-Denmark-takes-the-lead-in-a-new-project-in-Jordan