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Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Business, Structure of business, Activities in small enterprises, Bankruptcies, Board members and managers, Business Demography, Compulsory Compositions (Discontinued), Enterprise Groups in Denmark, General Enterprise Statistics, High Growth Enterprises, ICT Use in Enterprises, ICT-Expenditure in Enterprises, Job Vacancies, Purchases and sales by enterprises, Quarterly Business Demography (QBD), Workplaces and jobs, Business economy, Accounts Statistics by Industry, Accounts Statistics for Non-Agricultural Private Sector, Activities of foundations, International labour cost indices (Discontinued), Labour Costs for Corporations and Organizations, Purchases and sales by enterprises, SME Access to Finance, Supplemental Accounts Statistics for Shipping (Discontinued), International enterprises, Danish Foreign Affiliates, Foreign Owned Enterprises, International organisation and outsourcing, Outsourcing by Danish Enterprises (Discontinued), Agriculture, horticulture and forestry, Accounts Statistics for Agriculture, Agricultural investments, Cattle, Cereal Prices used for Regulation of Land Rents, Economic Accounts for Agriculture, Economic Accounts for Agriculture (Discontinued), Economics of Agricultural Activities, Eggs Production, Farm Structure Survey, Felling of Wood in the Danish Forests, Fur animals production (Discontinued), Harvest of Cereals etc., Livestock production, Milk and Dairy Products, Ownership of agricultural land in Denmark, Pigs, Price and Volume Indicators (Discontinued), Prices and price index for agriculture, Production of Compound Feed, Sales of Pesticides and Pesticides Usage in Crop Farming, Slaughter Animals and Meat Production, Surveillance of the Condition of Forests in Denmark (Discontinued), The Supply and Use of Cereals and Feed, The Use of Cereals, Wintergreen Fields (Discontinued), Fishery and aquaculture, Account Statistics for Fishery, Accounts Statistics for Aquaculture, Aquaculture, Structure and Production (Discontinued), Danish Vessels, Landings of fish, Manufacturing industries, Cost index for refuse collection, sludge removal and freight transport by road, Industrial Production and New Order Statistics (base year 2005, 2000-) (Discontinued), Industrial Production and New Orders Statistics (base year 2000, 1985-) (Discontinued), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Industrial Production and Turnover (base year 2005, 2000-) (Discontinued), Industrial Sales and Orders Statistics (base year 1995, -2002) (Discontinued), Manufacturers’ Purchases of Goods and Services, Manufacturers’ Sales of Goods (quarterly), Mining and Quarrying, Production and Turnover in Manufacturing Industries, Stocks of Wholesale, Construction, Census of Buildings, Construction Activity, Construction cost index for residential buildings, Construction Cost Indices for Civil Engineering Projects, Index of Production in Construction, Number of Persons Employed in the Construction Industry, Number of Persons Employed in the Construction Industry (until 2003) (Discontinued), Producer price index for construction of dwellings, Producer price index for renovation and maintenance, Purchase of commodities and services in the construction industry (Discontinued), Turnover in construction, Trade, Retail Trade Index, Retail Trade, by Goods (Discontinued), Sale of motor vehicles, repair and maintenance of motor vehicles etc. (Discontinued), Sales of Alcohol and Tobacco, Stocks of Wholesale, Wholesale Trade, by Goods (Discontinued), Accommodation and travel, Holiday houses, Leisure and Business Trips, Nights spent at hotels, holiday resorts and youth hostels, Nights Spent at Marinas, Nights spent on camp sites, Financial sector, Banks and mortgage-credit institutions, Consumer Credit, Finance Companies, Accounts Statistics (Discontinued), Insurance companies and pension funds, Profit and Loss Accounts of Danmarks Nationalbank, Service sector, Accounting, Book-Keeping and Auditing Activities, Advertising Services, Architecture, Business and Management Consultancy Activities, Business Services in the Sector for Call Centers (Discontinued), Business Services in the Sector for Catering Activities (Discontinued), Business Services in the Sector for Cleaning Activities (Discontinued), Business Services in the Sector for Design (Discontinued), Business Services in the Sector for Forwarding Agents (Discontinued), Business Services in the Sector for Market Research and Public Opinion Polling, Business Services in the Sector for Security Services (Discontinued), Business Services in the Sector for Technical Testing and Analysis, Computer Services, Engineering Activities and Related Technical Consultancy, Indices of Service Production (Discontinued), Legal Activities, Production and Turnover in Service Industries, Services of service industries, Temporary Employment Agencies and Other Human Provision Services, Business tendency surveys, Business Cycle Tracer (Discontinued), Business tendency surveys, Construction Survey (Discontinued), Industry investment survey (Discontinued), Industry Survey (Discontinued), Retail Trade Survey (Discontinued), Services Survey (Discontinued)

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=6

Our projects

Statistics Denmark implements projects in other countries with the purpose to build up these countries’ capacity to produce reliable, comparable, timely and available statistics. Below is a list of some of those countries we currently support as well as some of those countries we supported in the past., Ghana, Morocco and Vietnam, January 2024/January 2025 – December 2026, Statistics Denmark and the Danish Ministry of Foreign Affairs on one side and the national statistical institutions in Ghana, Morocco and Vietnam on the other side have agreed to implement Phase II of the Strategic Sector Cooperation projects in the area of statistics. The aim of the second phase is that,  partner countries are strengthened and in a better position to consistently provide a reliable and credible evidence-base to sensitise decision-makers, implementers and key actors responsible for advancing a just green transition, as well as for the general public at large. , Vietnam entered Phase II in January 2025. The plan is to include a fourth country in Phase II - the selection process is ongoing., Read more about our project in Ghana, Read more about our project in Morocco, Read more about our project in Vietnam, Bosnia and Herzegovina , January 2024 - January 2026, Statistics Denmark is implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Slovenia and Italy. The project runs from January 2024 to January 2026. This project is the fifth in a row of collaboration projects financed by the EU, with Statistics Denmark as the lead agency., The overall objective of the project is to strengthening the national statistical system (NSS) inside Bosnia-Herzegovina facilitating its approximation to the Union , acquis, in the area of statistics. , Read more, Jordan 2022-2024, September 2022-September 2024, Statistics Denmark implements an EU-financed Twinning project in Hashemite Kingdom of Jordan. Our partner is Department of Statistics of the Hashemite Kingdom of Jordan (DoS)., The implementation is done in close cooperation with the Federal Statistical Office in Germany, The Italian National Institute of Statistics and Statistics Lithuania as Junior Partners, with support from Statistics Finland. The project will run from September 2022 to September 2024., The overall objective of the Twinning Proposal is to strengthen the capacity of Jordan’s Department of Statistics in terms of compilation, analysis and reporting of statistical data in line with International and European best practices., Read more, Pan-African Statistics - PAS II, February 2022-October 2025, The Pan-African Statistics project is part of an EU funded programme counting two projects (SOCSTAF and ECOBUSAF) headed by Statistics Denmark and Statistics France respectively. The Danish-headed project focuses on support to producing official statistics within the social domains of education, health, and labour and counts consortium partners from the NSIs of France, Finland, Spain and Poland. Denmark is consortium partner in the French-headed project focusing on support to a Statistical Business Register and national accounts., The aim of the Danish-led part of the project is to support African integration through strengthening the African Statistical System and ensure the use of quality statistical data in the decision-making process and policy monitoring, in order to facilitate monitoring of societal progress in Africa, with a special focus on the social domain., Read more about PAS II here, Ghana, Morocco and Vietnam, February 2019 – 2024, Statistics Denmark and the Danish Ministry of Foreign Affairs on one side and the national statistical institutions in Ghana, Morocco and Vietnam on the other side have agreed to start Strategic Sector Cooperation projects with the aim to strengthen the quality of official statistics in the three countries., Read more, Recently concluded projects, Georgia 2019-2021, April 2019 – July 2021, Statistics Denmark is implementing an EU-financed Twinning project with Geostat, the national statistical institution in Georgia. The project focuses on national accounts, extranal sector statistics, business statistics and social statistics. The project is implemented in cooperation with the national statistical institutions of the Czech Republic, Hungary, Finland and Lithuania., Read more, Bosnia and Herzegovina , January 2018 – April 2020, Statistics Denmark has implemented an EU-financed Twinning project with the three statistical institutions and the Central Bank of Bosnia and Herzegovina. The project focused on national accounts, statistical business register, structural business statistics, producer prices in service industries and construction, tourism statistical, balance of payment and international investment position statistics. The project was implemented in cooperation with the national statistical institutions of Croatia, Finland and France., Read more, Mozambique, 2002 - 2015, Statistics Denmark has together with Statistics Norway and Statistics Sweden in a consortium called Scanstat provided assistance to the national statistics institution in Mozambique, INE during three five-years planning periods (2003-2007, 2008-2012, 2013-2017). Scanstat had assigned two long term advisers until the end of 2015. The project covered a range of different statistical subjects as well as management support. The financial support was pooled in a basket where a range of donors were involved., Read more

https://www.dst.dk/en/consulting/projects

Documentation of statistics: The annual and quarterly working time accounts before the 2016 revision (Discontinued)

Contact info, Labour Market , Get documentation of statistics as pdf, The Annual and Quarterly Working Time Accounts Before the 2016 revision 2016 Quarter 1 , Previous versions, The Annual and Quarterly Working Time Accounts 2014 Quarter 3, The Annual and Quarterly Working Time Accounts 2014 Quarter 4, The Annual and Quarterly Working Time Accounts 2015 Quarter 1, The Annual and Quarterly Working Time Accounts 2015 Quarter 2, The Annual and Quarterly Working Time Accounts 2015 Quarter 3, The Annual and Quarterly Working Time Accounts 2015 Quarter 4, The Danish Working Time Accounts (WTA) is an integrated statistics with consistent time series on employment, number of jobs, hours worked and compensation of employees in both annual and quarterly basis. The current time series goes back to 2008 (quarterly statistics as from the 1st quarter of 2008)., Statistical presentation, The Working Time Accounts produce integrated statistics with consistent time series on employment, jobs, number of hours worked and compensation of employees on an annual and quarterly basis. The data basis is made up by a number of primary statistical data, which are adapted and adjusted to achieve agreement of the concepts and definitions used in the WTA system., The statistical sources used in the WTA are: , The Register-Based Labour Force statistics (RAS), , Establishment-related employment statistics (ERE statistics), , The Structural Earning Statistics (SES), , Employment Statistics for Employees (BfL) og , The Labour Force Survey (LFS)., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projecting these levels over the months of the year and in periods for which structural data are not available. Summation of the data in the Working Time Account is conducted before they are projected. Data in the Working Time Account are seasonally adjusted both for use in Denmark as well as for use in Eurostat’s STS. The system contains a data-editing system, a correction system and a dissemination system., Read more about statistical processing, Relevance, Users interested in the social and economic statistics have expressed satisfaction with the quality of the statistics. However, they also expressed frustration over large data breaches, especially in the transition to e-Income-based sources., Read more about relevance, Accuracy and reliability, There are no calculations of the measures of accuracy., See section quality assessment., Read more about accuracy and reliability, Timeliness and punctuality, Working hours are regularly published in accordance with Statistics Denmark's benchmark goals. , For quarterly statistics concerned, this goal implies that the publications to be released at the latest ​​by the end of the following quarter. For the sake of short-term business regulation (STS), this implies that the WTA to be published typically by the middle of the last month of the following quarter. (The requirement for most employment series for STS is 2 months and 15 days). For annual statistics concerned, this implies that publications to be released at the latest by the end of the following year. In the interest of national accounts the annual WTA will be published in June with provisional figures for the previous year. This makes the annually WTA for the year , t, to be published in the same month as the publication of the quarterly WTA for the period , 1 quarter t +1, . , The transition to the new WTA resulted, however, that annual WTA 2011, based on the new eIncome sources, were not published until December 2012, whereas the publication of the quarterly statistics has not given rise to any delay., Read more about timeliness and punctuality, Comparability, WTA deliver labour market data to Eurostat's corporate short-term regulation (STS) and the national accounts (ESA / ESA). Therefore, changes in these regulations typically result in changes in the WTA. A description of the transitional tables between the WTA and the National Accounts can be found in the publications on the National Accounts. Transitional tables between the WTA and the Register-based Labour Force Statistics and the Establishment-related Employment Statistics are published in Statistical News ("Statistiske Efterretninger") for the annual WTA., Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark (Nyt fra Danmarks Statistik), , in the series Statistical News ("Statistiske Efterretninger") and , in the Statbank Denmark ("Danmarks Statistikbank")., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-annual-and-quarterly-working-time-accounts-before-the-2016-revision--discontinued-

Documentation of statistics

Documentation of statistics: Indices of Earnings for the Public Sector (Discontinued)

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Earnings for the Public Sector 2019 , Previous versions, Indices of Earnings for the Public Sector 2018, Indices of Earnings for the Public Sector 2017, Indices of Earnings for the Public Sector 2016, Indices of Earnings for the Public Sector 2015, Indices of Earnings for the Public Sector 2014, The purpose of the index is to indicate trends in wages paid in the public sector (central and local governments) analyzed by main sectors of economic activity. The index covers more or less all employees in the public sector, including salaried employees, apprentices and young employees under the age 18. Data are mainly extracted from the public pay transfer systems and refer to the second month in the quarter of interest. The published index is broken down by main sectors of economic activity (38-grouping of NACE rev. 2), and indicate trends in relation to the basic quarter (first quarter of 2005) and in relation to the same quarter of the previous year. Since the release of the third quarter of 2008 there has been a change in the base period of the index, which is now the first quarter of 2005., Statistical presentation, The index is based on information on wages obtained from more or less all employees in the public sector. Data are mainly extracted from the public pay transfer systems and refer to the second month in the quarter of interest. The published index is broken down by main sectors of economic activity (38-grouping of NACE rev. 2), and indicate trends in relation to the basic quarter (first quarter of 2005) and in relation to the same quarter of the previous year. , From the first quarter of 2013 a new delimitation regarding the categorizing of sectors (state, regional, municipal or private) came into force. The new sector delimitation now follows the same principles as the one applied for the national accounts. The previous delimitation of sectors is available until the fourth quarter of 2013. , This documentation of statistics relates to the index of average earnings with the base period 1. quarter of 2005=100. The documentation of statistics with the base period 1. quarter of 1995 is attached as an annex., Read more about statistical presentation, Statistical processing, Data are collected for more or less all persons employed in the public sector in Denmark and refer to the second month of the quarter in interest. Before production of the index is started, the data are roughly searched for errors. But there are also performed search for errors later in the process, e.g. by looking at the rate of increase in the average wages for each company or organisation. Each employment is given a weight after the share of hours worked in relation to a full-timer’s normal hours, which is used when adding observations to calculate the rate of increase for an enterprise or branch of economic activity., Read more about statistical processing, Relevance, Private enterprises and organizations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, Since the index is based on information on wages obtained from more or less all publicly employed persons through public pay transfer systems, the accuracy and reliability of the index is considered to be high. At the same time, there are some small uncertainties regarding the index which it is a good idea to be aware of when applying the index., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 45 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, Improvements in the index are continuously being made. If major errors have been rectified, the index has, as far as possible, been revised back to the first quarter of 1995 when calculations of the index began. From the first quarter of 2013 a new delimitation of sectors (state, regional, municipal or private) has been applied. Hence causing a breach in the data between the fourth quarter of 2012 and the first quarter of 2013. , The index of average earnings in the public sector, is comparable and in many ways similar to the , index of average earnings for Corporations and Organisations, . Internationally, the index is to some degree comparable to wage indices of the public sector in other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-earnings-for-the-public-sector--discontinued-

Documentation of statistics

Statistics Denmark's press and media policy

The press and media policy sets the framework for Statistics Denmark’s cooperation with the media and our approach to working with the press. It must ensure that Statistics Denmark’s relations and contact with the media is professional and in keeping with the fundamental principles of the organisation., Principles, Statistics Denmark is a transparent, accessible and communicating institution, and the press is one of our key stakeholders., Therefore, we will build and maintain good relations with the press by offering professional high quality service. This applies when we disseminate new sets of statistics, when we approach the press, and when the press contacts us., Trustworthiness, We will maintain and extend our trustworthiness by giving the press easy access to relevant and correct statistics. If we are unable to do so, we explain why., Competence, As a general rule, the employee most familiar with the subject is the spokesperson. , Timeliness, We help the press as soon as possible. We answer any enquiry during regular working hours as soon as possible and preferably on the same day. If we are unable to answer the request on the same day, we communicate this., Accessibility, We aim to make it quick and easy to get in touch with the right employee during working hours. Outside working hours, the press can get in touch with the head of communication or the head of press, who will estimate the possibilities for further contact., User focus, We provide the same high level of service to all journalists regardless of the type of media, and we are mindful of the conditions under which journalists operate - including deadlines. We aim to see the potential and relevant stories in what we are working with and communicate clearly with an eye for the receiver., Contact with the press, In principle, all employees can speak to the press about their own area of expertise., Employees of Statistics Denmark do not offer any opinion, we contribute only facts and put them into perspective. Nor do we comment on the data of other institutions., Publication of statistics, Statistics Denmark uses various channels to publish statistics, including tables in Statbank Denmark, the news series ‘Nyt fra Danmarks Statistik’ and different types of publications etc. The planned release time appears from the list of , scheduled releases, . , Statistics Denmark does not release statistics to the media or anyone else prior to the release time – nor in the form of content provided with a clause., Special data extractions, We send supplementary numbers and data extractions to the press free of charge, provided that it is already available in the statistical division or can be obtained within four working hours, and provided that the task in general can be accommodated within the daily work. , Errors and source references, If Statistics Denmark becomes aware of incorrect or misinterpreted mention of our statistics in the press or elsewhere, we contact the relevant media immediately. We also respond if a media uses our statistics without acknowledging Statistics Denmark., Statistics Denmark is independent of political and other interests, and we aim to present our statistics in a neutral way. Sometimes media, researchers or analysts select, combine or present our data in a way that is different from ours. Sometimes they also do graphics work based on our data. As long as the use of the data is not misleading, Statistics Denmark can still be indicated as a source. If there are other sources than Statistics Denmark for e.g. a chart or a table, we want the other sources to be indicated as well., If the media process our data, e.g. by combining new concepts or classifications, it must be stated that the data has been processed, e.g. by writing “Source: Own calculations based on data from Statistics Denmark”. This also applies when researchers or analysts have processed data from Statistics Denmark and receive press coverage., The principles for source references are the same for publicly available data as for data purchased from or compiled via Statistics Denmark., Handling of errors, Occasionally, we make errors or detect omissions in our products. In this event, we correct the statistics immediately and are transparent about it., Competence enhancement, We regularly make presentations to journalists to introduce them to using our statistics. Journalists are welcome to contact us for an introduction., We collaborate with the education programmes in journalism in Odense, Aarhus and Roskilde. We introduce the students to Statistics Denmark in general, how to find stories in the statistics as a journalist and how to avoid common pitfalls.

https://www.dst.dk/en/presse/danmarks-statistiks-pressepolitik

Documentation of statistics: Retail Trade Survey (Discontinued)

Contact info, Short Term Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Retail Trade Survey 2021 , Previous versions, Retail Trade Survey 2020, Retail Trade Survey 2019, Retail Trade Survey 2018, Retail Trade Survey 2017, Retail Trade Survey 2016, Retail Trade Survey 2015, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the retail trade. Statistics Denmark took over the Retail trade tendency survey in May 2011. The survey is directly connected to and defined by the Business and Consumer Survey joint harmonized programme as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. Within same programme is also carried out monthly tendency surveys on Manufacturing Industries, Construction, Services and Consumer expectations as well as the biannual survey on Manufacturing Industry Investments., Statistical presentation, The Tendency survey provides information about actual conditions and expectations within the Retail trade business. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables sales, employment, sales prices, orders placed by supplier and current stock., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 1400 Retail Trade stores, including auto wholesales. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, inventories, orders, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provide valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , precision, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaire or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month, data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Tendency survey in Retail trade was launched in May 2011 by Statistics Denmark. Data is comparable over time with similar tendency survey data up until April 2011 provided by the EC Business and Consumer Surveys programme and managed by Directorate-Generale for Economic and Financial Affairs, , DG ECFIN, ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Detailhandel, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBD1, KBD2 and KBD3. Read , here, about the statistics. Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-survey--discontinued-

Documentation of statistics

Older documents

Follow this link to get access to , reports, documents and working papers of older date, ., Projects in collaboration with external institutions, Regarding economic effects on Denmark and Italy in connection with EU's enlargement. December 2001., Eastern enlargement of the EU: Economic costs and benefits for the EU present member states?, The case of Denmark, The case of Italy, Economic Working Papers,  (ADAM and DREAM), The DREAM group moved to the ministry of finance in march 2002., 2001:6   [DREAM] , The Optimal Level of Progressivity in the Labor Income Tax in a Model with Competitive Markets and Idiosyncratic Uncertainty, Toke Ward Petersen, September 2001 , 2001:5   [DREAM] , Interest Rate Risk over the Life-Cycle: A General Equilibrium Approach, Toke Ward Petersen, September 2001 ,  , 2001:4   [DREAM] , Indivisible Labor and the Welfare Effects of Labor Income Tax Reform, Toke Ward Petersen, September 2001 , 2001:3   [DREAM] , General Equilibrium Tax Policy with Hyperbolic Consumers, Toke Ward Petersen, July 2001 , 2001:2   [ADAM] , Modelling private consumption in ADAM, Henrik Hansen, N. Arne Dam og Henrik C. Olesen, August 2001 , 2001:1   [DREAM] , Fiscal Sustainability and Generational Burden Sharing in Denmark, Svend Erik Hougaard Jensen, Ulrik Nødgaard og Lars Haagen Pedersen, Maj 2001 ,  , 2000:5  [DREAM], V, elfærdseffekter ved skattesænkninger i DREAM, Anders Due Madsen, December 2000 ,  , 2000:4  [DREAM] , Har vi råd til velfærdsstaten ?, Lars Haagen Pedersen og Peter Trier, December 2000 ,  , 2000:3  [ADAM] , Current Price Identities in Macroeconomic Models, Asger Olsen and Peter Rørmose Jensen, August 2000 ,  , 2000:2  [ADAM] , General Perfect Aggregation of Industries in Input-Output Models, Asger Olsen, August 2000 ,  , 2000:1  [ADAM-DREAM] , Langsigtsmultiplikatorer i ADAM og DREAM - en sammenlignende analyse, Lars Haagen Pedersen og Martin Rasmussen, Maj 2000  ,   , 1999:4  [ADAM] , Løn-pris spiraler og crowding out i makroøkonometriske modeller, Carl-Johan Dalgaard og Martin Rasmussen, December 1999 ,  , 1999:3  [DREAM] , Earned Income Tax Credit in a Disaggregated Labor Market with Minimum Wage Contracts, Lars Haagen Pedersen & Peter Stephensen, November 1999, En kortere version af papiret er publiceret i Harrison, Hougaard Jensen, Pedersen & Rutherford (ed.): , Using Dynamic General Equilibrium Models for Policy Analysis, , North-Holland 2000,  , 1999:2 [ADAM] , Aggregation in Macroeconomic Models: An empirical Input-Output Approach, Asger Olsen, August 1999, Den endelige version er publiceret i , Economic Modelling, , 17:4 (2000) pp. 545-558 ,  , 1999:1  [ADAM] , Efterspørgslen efter produktionsfaktorer i Danmark, Thomas Thomsen, August 1999 ,  , 1998:6  [DREAM], A CGE Analysis of the Danish 1993 Tax Reform, Martin B. Knudsen, Lars Haagen Pedersen, Toke Ward Petersen, Peter Stephensen and Peter Trier, Oktober 1998,  , 1998:5  [DREAM] , Wage Formation and Minimum Wage Contracts, Lars Haagen Pedersen, Nina Smith (CLS) and Peter Stephensen, April 1998 ,  , 1998:4  [DREAM] , An introduction to CGE-modelling and an illustrative application to Eastern European Integration with the EU, Toke Ward Petersen, September 1997 ,  , 1998:3  [DREAM], I, Introduktion til CGE-modeller, Toke Ward Petersen, Oktober 1997, En kortere version er publiceret i Nationaløkonomisk Tidskrift 135 (1997) pp. 113-134,  , 1998:2  [ADAM] , Links between short- and long-run factor demand, Thomas Thomsen, December 1997, Den endelige version er publiceret i , Journal of Econometrics, , 97:1 (2000) pp. 1-23 ,  , 1998:1  [ADAM] , Faktorblokkens udviklingshistorie, 1991-1995, Thomas Thomsen, December 1997 ,  ,  

https://www.dst.dk/en/Statistik/ADAM/Dokumentation/AndetDok

Policy and action plan for gender equality

At Statistics Denmark, we are making an effort to attract and retain skilled and dedicated employees and we regard diversity in the composition of employees and management as a strong point. For that reason, we pursue:, Balance in the gender distribution among employees and managers at all levels. , Momentum in the development of talented male and female managers., Equal recruitment and career opportunities for women and men. , Elimination of gender bias in pay structures., Senior management levels, To us, gender equality is about the whole organisation, and we want to fuel a pipeline of talented executives and contribute to the public sector’s recruitment of both male and female executives., Baseline in figures, Male/female ratio in Statistics Denmark, Dec. 2023, Women, Men, The Supervisory Board, 62 per cent  (5), 38 per cent  (3), Senior management levels (The director general and the directors), 33 per cent  (2), 67 per cent  (4), Managers with personnel responsibilities (incl. chief advisers with personnel responsibilities, excl. the senior management level) , 33 per cent  (12), 67 per cent  (24), Employees (excl. managers and senior management level), 52 per cent  (279), 48 per cent  (258), Total, 51 per cent  (293), 49 per cent  (286), In the long term, we are aiming for at least 40 per cent of the under-represented sex on the Supervisory Board as well as the Executive Board. The target figures are based on the Danish act on equal treatment of men and women and apply to 2024-2028., Initiatives, To achieve our objectives, we are working on implementing tangible initiatives in the fields of recruitment and career., Recruitment, We want everyone irrespective of gender, to find our vacant positions attractive and we aim for a recruitment practice that provides equal employment opportunities irrespective of gender. For this purpose, we focus on the following:, We continuously focus on describing vacant positions and Statistics Denmark in a way that appeals to everyone irrespective of gender., We are working on preventing bias in the recruitment process and aim for both sexes to be represented on interview boards, and for at least one person of each sex to be invited for an interview., In collaboration with external experts in the area, we are building knowledge and awareness of the unconscious gender biases, focusing especially on managers, HR staff and others who make decisions about recruitment and career development. , Career, We want equal opportunities for everyone, irrespective of gender, to develop and be promoted in terms of both responsibilities and pay. This applies regardless of the different conditions of life, which may be gender-specific, e.g. in connection with parental leave. To achieve this objective, we support the dialogue on competence development, new assignments, increased responsibility and pay with, among other things, the following initiatives:, In connection with employee appraisal interviews, for example, we focus on making it clear for everyone what talent development opportunities the organisation offers, making it easier for everyone – regardless of gender – to see how they can develop their competences, ambitions and abilities to the benefit of both their personal career and the organisation., Before and after parental leave, we hold parental leave interviews to ensure that the employee returns from leave to assignments of a corresponding nature and complexity and does not experience a setback in his or her career because of the parental leave. In support of the interviews, HR has prepared material for the managers on the rules regarding parental leave as well as an interview guide., Managers, the Executive Board and the Joint Consultation Committee continuously focus on providing clear reasons for appointments and pay rises. It promotes transparency in the decision process and reduces the risk of unconscious gender bias affecting the decisions., We have made an effort to incorporate the continuous work on implementing the actions in the organisation’s existing processes to ensure the most extensive coherence possible with the general staff policy., Data support, We use relevant data and statistics to support our work towards gender equality. For example:, Each year, we prepare a gender equality report showing, for example, the gender distribution of different staff groups and management levels as well as gender-specific earnings statistics, which allows us to regularly assess the extent of the gender equality gap and the effect of initiatives., As part of surveying emotional health in the workplace and employee satisfaction in the organisation, permanent questions are included on gender-specific discrimination, harassment and offending actions. The survey is conducted every two years., Follow-up, The Executive Board regularly follows up on the initiatives and identifies any need to adjust the plan., Every year, the Executive Board and the Joint Consultation Committee discuss the gender equality status based on an annual gender equality report. The discussions lead to the identification of any need for new initiatives., The policy and action plan for gender equality has been approved by Statistics Denmark’s Executive Board.

https://www.dst.dk/en/OmDS/policy-and-action-plan-for-gender-equality

Documentation of statistics: National Accounts: Quarterly

Contact info, National Accounts, Climate and Environment, Economic Statistics , Oliver Nygaard Sørensen , +45 51 83 40 39 , ons@dst.dk , Get documentation of statistics as pdf, National Accounts Quarterly 2025 Quarter 3 , Previous versions, National Accounts: Quarterly 2025 Quarter 2, The quarterly national accounts provide a comprehensive and up-to-date description of the economy and its development. The main focus is on short-term economic fluctuations, making it particularly useful for business cycle analysis, assessing economic conditions, and as a basis for economic models and forecasts. The statistics describe the economy as a whole, including transactions between households, businesses, and institutions, as well as transactions between Denmark and abroad. It has been compiled since 1988 and is fully comparable from first quarter 1990., Statistical presentation, The quarterly national accounts provide an overview of short-term activities and developments in the Danish economy. The quarterly national accounts include figures for key aggregates such as gross domestic product (GDP), private consumption, public consumption, investment, exports and imports, employment and wages, as well as profits and productivity across different industries. In addition, quarterly figures are available for a wide range of subcategories that can shed light on business cycle developments in the economy., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled based on almost all short-term statistics that describe sub-areas of the economy and employment. When the first estimate for a given period is prepared, not all information for that period is yet available. The calculations are therefore based on the structure of the recent final national accounts, which are projected using indicators from, for example, short-term statistics. As new sources become available, they are gradually incorporated into the quarterly national accounts according to a fixed schedule., Read more about statistical processing, Relevance, The quarterly national accounts are relevant for anyone working with short-term and cyclical macroeconomic conditions. The use of the quarterly accounts ranges by the economic ministries for planning, analysis, forecasting, and modelling purposes, to similar uses by business organisations and other interest groups, as well as for the public’s interest in understanding the structure and development of the economy., Feedback from users is continuously evaluated through the Economic Statistics user Committee, user group meetings, direct contact with users, and through international forums., Read more about relevance, Accuracy and reliability, The quarterly national accounts’ ability to accurately describe the economic reality depends partly on the uncertainty associated with the sources. Some areas are measured more precisely than others due to better source data. Initial releases may lack data or be preliminary, and errors in sources or their combination with the national accounts system can affect reliability. Unforeseen economic shocks can increase uncertainty, but the accounts system’s consolidation of information helps reduce it., 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, and a revised version is published 90 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 released. The national accounts are published on schedule., Read more about timeliness and punctuality, Comparability, The quarterly national accounts follow international guidelines (ESA 2010, implemented in 2014) and are comparable across countries. They cover all parts of the economy, and most economic statistics have their counterpart here. However, caution is advised when comparing with other statistics due to differences in definitions and coverage. The national accounts are fully consistent with the balance of payments and general government., Read more about comparability, Accessibility and clarity, The quarterly national accounts statistics are published in the StatBank under , Economy, and National accounts. The publications are accompanied by , Danish press releases, - in Danish., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Services Survey (Discontinued)

Contact info, Short Term Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Services Survey 2021 , Previous versions, Services Survey 2020, Services Survey 2019, Services Survey 2018, Services Survey 2017, Services Survey 2016, Services Survey 2015, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the Services. The present survey has been conducted by Statistics Denmark since May 2011, taking over from different supplier. The survey is directly connected to and defined by the Business and Consumer Survey joint harmonized programme as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. Within same programme is also carried out monthly tendency surveys on Manufacturing Industries, Construction, Retail Trade and Consumer expectations as well as the biannual survey on Manufacturing Industry Investments., Up until July 2011 Statistics Denmark conducted independently a corresponding survey, though with another selection of line of businesses and partly different questions., Statistical presentation, The Tendency survey provides information about actual conditions and expectations within the Services sector. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables business situation, turnover/sales, employment, prices/rates. Furthermore is asked about the current situation regarding factors limiting the production and capacity utilization., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 2950 service enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, inventories, prices, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , Accuracy, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaires or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Services Sector survey was launched in May 2011 by Statistics Denmark. Data is comparable over time by comparing with similar tendency survey data up until April 2011 provided by the EC Business and Consumer Surveys programme and managed by Directorate-Generale for Economic and Financial Affairs, , DG ECFIN, ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Serviceerhverv, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBS1, KBS2, KBS3 and KBS4., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/services-survey--discontinued-

Documentation of statistics