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Documentation of statistics: Radio and TV Statistics: Advertising (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Radio and TV Statistics Advertising 2014 , Previous versions, These statistics are meant to provide easy, simple access to basic facts, and answer questions on the media habits of the population. For example: the total and duration of TV advertising spots and advertising sales volumes can be seen. The statistics have previously been published as a part of the now defunct MedieStatistikBanken, started in 2006. MedieStatistikBanken was set up by the former Danish Media Secretariat (now Danish Agency for Culture) in collaboration with the media industry and Statistics Denmark. The statistics were taken over to the Denmark Statistics-owned StatBank Denmark in 2012., Statistical presentation, The Radio and TV statistics Advertising shows the scope and sales volumes of TV spots in Denmark, and advertising sales volumes for printed and electronic media:, FOR4216, - Total, duration and coverage of spots by TV channel: The table shows the total, duration and coverage of TV spots by TV channel, excluding the regional adverting shown on TV 2, and are based on the TNS Gallup TV Meter annual report: TNS Gallup measures actual TV viewing in TV-owning households in Denmark using its TV Meter on behalf of DR TV, TV 2/DANMARK, TV3, SBS TV, Discovery, Turner Broadcasting and MTV Networks. Gallup TV Meter equipment logs all TV viewing in 1,000 selected households, or for 2,200 individuals. The viewing habits of these individuals are logged around the clock on an ongoing basis. Data on viewer habits - who watches which channels and when - are transmitted daily to TNS Gallup, which checks and processes the figures. Gallup TV Meter system results are used by programme planners to compile their programme lists. The sales executives from the commercial channels determine spot prices based on viewing figures, and the advertising industry uses the analyses to plan advertising campaigns and check exposure. For definitions and more background details, see the links below to TNS Gallup: http://www.gallup.dk/vores-markedsfokus/medier/tv-meter.aspx (TV Meter), VIR317, - TV spot sales volumes (in DKK 1,000) broken down by industry and time: The table shows the sales volumes in DKK 1,000 which the industry sectors listed have spent on TV advertising spots on all registered TV channels during a specific year. TV 2 regional adverts are included in TV 2's figures. VIR317 is based on TNS Gallup Media Intelligence/Gallup AdFacts: TNS Gallup Media Intelligence measures advertising campaigns from TV, print and radio, and receives reports from outdoor, cinema and online advertising, but does not register media such as sponsoring agreements, classified ads and major in-store campaigns. The results in VIR317 solely concern TV, and are based on TNS Gallup Media Intelligence's daily surveys and logging of all advertising spots on TV 2, TV3 and SBS TV channels, plus Discovery Channel and Cartoon Network. TNS Gallup Media Intelligence's price calculations were based on the TV companies' spot prices between 1992 and 1994. As from 1995, price calculation was changed so that the prices for all stations could be calculated using a GRP price. TV 2 is priced according to the applicable, official GRP price, TV3 and SBS TV are priced in relation to TV 2, which means that the calculated spend is lower than for preceding years. For definitions and more background details, see the link below: http://www.gallup.dk/vores-markedsfokus/medier/media-intelligence.aspx, VIR316, - Advertising spend by medium: The table shows sale of advertising space by medium, excluding any form of commission, allowances, discounts and VAT. Recruitment advertising is not included in advertisement spend. VIR316 is based on the Danish Audit Bureau of Circulation's: Advertising Expenditure Survey in Denmark: The sponsors of "The Danish advertising market" are The Association of Danish Advertisers, TV 2|DANMARK, The Trade Association of Danish Distributors, Clear Channel Danmark A/S, the Graphic Association of Denmark, Post Danmark and TEAM DANMARK. The universe used is Media Scandinavia, survey service and or trade organisations. Media owners and/or their trade associations are encouraged to report the sales volumes relevant for this survey (in full confidence) to the Danish Audit Bureau of Circulation (ABC). Their own advertising is not included in spend. In addition, public or private industry sector surveys are included, such as Gallup Adfacts. If no reports are available, employees of the Danish Audit Bureau of Circulation and members of the expert panels set up for each medium group perform a group evaluation. Finally, the results for each media group are assessed and the overall result of the steering group which constantly tracks the report's production is created., Read more about statistical presentation, Statistical processing, Data are collected from TNS Gallup TV Meter annual report and TNS Gallup Media Intelligence/Gallup AdFacts (VIR317, FOR4216) and Danish Audit Bureau of Circulation, Advertising Expenditure Survey in Denmark (VIR316)., Read more about statistical processing, Relevance, The statistics are relevant for all., Read more about relevance, Accuracy and reliability, Coverage: The statistics are based on random sample surveys. The TV tables are based on Gallup TV Meter equipment, which logs all TV viewing for 1,000 selected households, or amongst 2,200 individuals. The figures for advertising are based on sources which cover a large part of the advertising market supplemented by estimates from industry associations and expert panels., Collection: The statistics are based on data already published by TNS Gallup's Radio Meter and TV Meter media surveys, which are the official, industry-recognised surveys of the listening and viewing habits of the population. Statistics Denmark obtains the data direct from the data suppliers., Processing: Data already in the public domain is transferred for all relevant tables. The data supplied is subject to a quality check, which includes comparison with the preceding time series, and calculation of control totals where they are included in the data submitted. In some cases, subtotals, totals and shares are also calculated based on the data submitted., Read more about accuracy and reliability, Timeliness and punctuality, Not relevant for these statistics., Read more about timeliness and punctuality, Comparability, Not relevant for these statistics., Read more about comparability, Accessibility and clarity, Regular publication: News from Statistics Denmark (annually, when tables VIR317 and FOR4216 are updated)., Publication in the StatBank: VIR316, VIR317, VIR331 and FOR4216., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/radio-and-tv-statistics--advertising--discontinued-

Documentation of statistics

Documentation of statistics: Registered unemployment

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Registered unemployment 2024 , Previous versions, Registered unemployment 2023, Registered unemployment 2022, Registered unemployment 2021, Registered unemployment 2020, Registered unemployment 2019, Registered unemployment 2018, Registered unemployment 2017, Registered unemployment 2016, Registered unemployment 2015, Registered unemployment 2014, The purpose is to produce statistics monitoring the structure and trends in the unemployed population and the causes of unemployment. The statistics are compiled on the basis of registers. The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. As from the publication of unemployment statistics for January 2010, attention is now focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. From the 12. of October 2022 and onwards the gross unemployment statistics are expanded with a monthly unemployment indicator published 10-12 days after the end of the reference month., Statistical presentation, The register based unemployment statistics (gross- and net-unemployed) provide monthly data on the unemployed population registered with the unemployment insurance funds and with the public job centres. The statistics comprise all unemployed persons insured against unemployment and non-insured persons who are available for work and at the same time claiming cash benefits under the Danish Social Assistance Act. The statistics are shown by municipality, sex, age group, type of benefit, unemployment insurance funds, country of origin and level of education. , Read more about statistical presentation, Statistical processing, All the data is collected from administrative registers. After receiving the data we make a data validation and a harmonization before entering the data into our oracle-database for further data processing, including an elimination of illegal 'overlapping' data. From the 12. of October 2022 and onwards we receive early register based information from the Danish labour market authority (STAR) to estimate an early unemployment indicator figure 10 to 12 days after the end of the reference month. , Read more about statistical processing, Relevance, Users: Municipalities, regions, ministries, job centers, organizations, international organizations, the media, private business enterprises, and private individuals., Fields of application: Public and private structural analyses and trade cycle surveys, educational purposes and public debate., There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, for instance by the media, has always been considerable., Read more about relevance, Accuracy and reliability, The statistics comprise all unemployed persons above 16 and until they reach their official retirement age. Only persons registered as recipients of unemployment benefits or social assistance/initial assistance are covered by the statistics. Persons who do not receive social assistance or unemployment benefits are thus excluded from the statistics on unemployment, although they are registered with the public job centres. It is impossible to give a single figure on the statistical accuracy, but apart from the circumstance that a person must receive unemployment benefits or social assistance in order to be registered as unemployed, the accuracy of the statistics is relatively high., From the 12. of October 2022 and onwards the gross unemployment statistics is expanded with a monthly unemployment indicator published 10-12 days after the end of the reference month. In a test period of 11 months the new indicator has estimated the following official gross unemployment total within 1.000 unemployed persons., Read more about accuracy and reliability, Timeliness and punctuality, The monthly unemployment indicator is published 10-12 days after the end of the reference month, the monthly unemployment statistics is published roughly 28 days after the end of the reference month, the quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact official release dates are always published a year ahead., Read more about timeliness and punctuality, Comparability, The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. To avoid a great number of discontinuities of the data series, the statistics have roughly speaking remained unchanged since 1979. However, the unemployment statistics have been adjusted as from the publication of unemployment figures for January 2008. The underlying primary data have been edited and changes have been made to the concept of unemployment, which imply that the Danish concept of net unemployment is now closer to the definition of unemployment applied by the International Labour Office, ILO, see item 3.1. All changes have been made back to April 2000. As from the publication of unemployment statistics for January 2010, attention is now also focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. When the register based unemployment statistics depends on a number of national administrative registers it is not a good statistics for international comparisons. For international comparisons of unemployment you ought to use the unemployment figures from the labour force surveys in the different countries instead., Read more about comparability, Accessibility and clarity, Monthly publications: Nyt fra Danmarks Statistik (News from Statistics Denmark) and Statistikbanken (Stat bank Denmark). Quarterly publications: Statistikbanken (Stat bank Denmark). Annual publications: Statistisk Tiårsoversigt (Statistical Ten-Year Review) and Statistikbanken (Stat bank Denmark). From the 12. of October 2022 and onwards the gross unemployment statistics will be expanded with an early monthly unemployment indicator published in Nyt fra Danmarks Statistik (News from Statistics Denmark) and Statistikbanken (Stat bank Denmark)., You find more information on: , Unemployment, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/registered-unemployment

Documentation of statistics

International cooperation

Participation in the European statistical system plays an important part in Statistics Denmark’s international involvement. Furthermore, Statistics Denmark is also an active player in other international forums, among others UN and OECD., ESS – European Statistical System, Statistics Denmark is a member of the European Statistical System (, ESS, ). The ESS is a , partnership , between the Community statistical authority (, Eurostat, ), the national statistical institutes and other national statistics producers in each Member States. There are , 12 other national authorities , producing European statistics in Denmark and are hereby included as such in the ESS. This ESS partnership also includes the EFTA countries. The European statistics cooperation is regulated in , the law on European statistics, ., The purpose of the European statistical cooperation is to produce comparable statistics of high quality. The statistics constitute an important basis for planning, implementation and evaluation in a number of policy and cooperation areas. EU statistics are produced under the framework of a , statistical 5-year program , adopted by the European Parliament and the Council. In order to provide users with a more thorough insight into the ESS, an , ESS report, is published yearly with more detailed information about the latest initiatives and the development of the system. , A major part of EU statistics is produced according to legislation. Statistics Denmark participates actively in all phases of the EU legislative process. This is, e.g. conducted in the Commission’s (, Eurostat´s, ) working groups, where experts from Statistics Denmark and other Member States are consulted in connection with preparation and implementation of EU statistical legislation. , The European Statistical System Committee (ESSC), which is the executive body within the ESS cooperation, is composed of the Directors General of each national statistical institute., In the years to come the European statistical system is undergoing a reform process originating in a , vision for cooperation in the European statistical system towards 2020, . The reform process focusses on 5 areas: 1) user requirements and stakeholder cooperation, 2) quality, 3) new data sources, 4) effective and quality assurance of statistical production processes, and 5) dissemination and communication., Eurostat , Eurostat , is the Statistical Office of the European Communities. It publishes EU statistics enabling comparisons between Member States and regions. Eurostat was set up in accordance with a , decision , made by the Commission., EU legislation on statistics, In order to ensure comparable EU statistics from country to country and over time, the majority of the statistics is produced in accordance with binding EU legal acts., Current EU legal acts on statistics, All statistics are compiled in accordance with the quality standards of , European Statistics Code of Practice , Cooperation with other international organizations, Statistics Denmark cooperates with several international organizations. Among the most important are: United Nations Statistical Commission and the European part hereof, Statistical department of United Nations Economic Commission for Europe (UNECE), Organization for Economic Co-operation and Development (OECD), International Monetary Fund (IMF) and International Labour Organization (ILO)., United Nations Statistical Commission, United Nations Statistical Commission,  was set up by United Nations Economic and Social Council (ECOSOC) in 1947 and assists the Economic and Social Council with the following tasks, e.g.: , To promote the development of national statistics and improve their comparability., To develop the central statistics function at United Nations Statistics Division and to coordinate the statistical work in the organizations of the United Nations., To advise the organizations of the United Nations on collection, processing and dissemination of statistics., To promote and improve statistical methods., Conference of European Statisticians (CES), Conference of European Statisticians,  (CES) is the regional UN authority for statistics. The CES reports to UN’s Statistical Commission and is part of UN’s Economic Commission for Europe (UNECE). The purposes and tasks of the CES are similar to those of the Statistical Commission. In addition to this, the CES is to contribute to closer cooperation between all producers of official statistics in the ECE region and in this connection ensures comparability, the best possible use of consumption and coordinates the collection of statistics from national producers. , Organisation for Economic Cooperation and Development (OECD), The OECD’s mission is to promote policies improving the economic as well as the social situation in the world. In order to live up to this mission the OECD and its numerous affiliated committees, expert groups, etc. require, to a great extent official statistics of high quality.  , The OECD’s statistics division, collects statistics from member states and the statistics are processed with a view to increasing comparability. The statistics are, e.g. published in the monthly edition of Main Economic Indicators. The statistical cooperation is organized in working groups under the OECD’s Committee on Statistics and Statistical Policy (CSSP)., International Monetary Fund (IMF), Statistics Denmark’s relationship with the IMF is maintained in close cooperation with the Danish Ministry of Finance and the central bank of Denmark. The IMF’s statistical work embraces mainly two areas: guidelines for compiling statistics and standards for documentation., International Labour Organization (ILO), In collaboration with the Danish Ministry of Employment, Statistics Denmark is in continuous contact with , the International Labour Organization, and submits comprehensive labour market data for the ILO’s Yearbook of Labour Statistics. The ILO plays and important role in developing and coordinating statistics on especially employment, unemployment and prices. , Coordination Committee for European Statistics, In its capacity as the national statistical authority Statistics Denmark chairs the Coordination Committee for European Statistics. The Committee was set up in 2010 and originates from the EU Regulation on European Statistics (EC) No 223/2009. In accordance with paragraph 1 of Article 5 the national statistical authorities are responsible for coordinating all activities at national level for development, production and dissemination of European statistics and shall act as the contact point for the Commission (Eurostat) on statistical matters. In addition to Statistics Denmark, the Coordination Committee for European Statistics is composed of representatives from other national statistics producers in Denmark, compiling European statistics. , The tasks of the Coordination Committee for European Statistics are as follows:, To ensure mutual exchange of information on:, a) New and ongoing European statistical initiatives with a view to coordinating activities for development, production and dissemination of European statistics,, b) Representation of Denmark in central European committees and councils in the Commission as well as the Council with a view to coordinating and harmonising activities., To contribute to answering the Commission’s general inquiries to the national European statistics producers.  , To take the initiative to cooperate and coordinate the production and dissemination of European statistics, taking place at Statistics Denmark and other national statistics producers, including the creation of  frameworks for establishing cooperative forums, which can contribute to the exchange of ’best practice’., To discuss standards concerning independency, quality (relevance, accuracy, timeliness, punctuality, accessibility, comparability and coherence), confidentiality and response burden, which must be in accordance with national and international decisions and legislation.  , To discuss Danish standards with a view to ensuring a higher degree of internationally comparable statistics., Participating institutions in the Coordination Committee for European Statistics

https://www.dst.dk/en/OmDS/kvalitet-og-styring/internationalt-samarbejde

Business Conditions

1. General information about business conditions, business conditions describe the terms applied by Statistics Denmark in connection with negotiations, i.e. before entering into an agreement or working relationship with the customer. A number of other general business conditions are also specified. , When an agreement has been entered into between Statistics Denmark and the customer, the , General Terms and Conditions of Agreements,  enter into force. , 2. Confidentiality and access to documents, For the sake of public and private interests, Statistics Denmark is subject to confidentiality. All queries, acquisitions and working relationships between the customer and Statistics Denmark are treated with strict confidentiality unless otherwise agreed by the customer and Statistics Denmark. As regards access to documents, Statistics Denmark as a government authority is subject to the Danish Open Administration Act - with the exceptions applying to the activities of Statistics Denmark. , 3. Independence and objectivity, Independence and objectivity are the cornerstones of Statistics Denmark's legal framework and business ethics. Consultancy services, including compiling reports and counselling based on e.g. data runs, are generally not provided. , Special conditions and procedures apply in connection with the interpretation and listing of sources of calculation assignments using the ADAM model. , Use of Statistics Denmark's logo is strictly subject to prior agreement. , 4. Query response times, In principle, Statistics Denmark responds to customer queries within two working days. , 5. Duration of offer, Unless otherwise agreed or stated, an offer stays open for 4 weeks from the date of the offer after which it lapses. This includes both the time of delivery and the price. , 6. Procedure, In principle, Statistics Denmark carries out assignments in the order they are agreed or ordered. Statistics Denmark reserves the right to carry out assignments in a different order if this reduces the total production time. Specific assignments are carried out and delivered at the agreed time. , On payment of an extra charge, and if production allows, the customer and Statistics Denmark may arrange earlier delivery, e.g. by ordering work to be done outside normal working hours. , 7. Protection of data, Statistics Denmark neither sells nor discloses individual data and reserves the right to protect data to the extent this is required to keep information on individuals, families, households and companies confidential. The method used for protection of data in the various areas of statistics is confidential. Agreements with customers must include a detailed description of how data will be protected in practice - e.g. when combining areas or categories.  , 8. Subscription terms and conditions, Unless otherwise stated there is no need to renew subscriptions as they will continue. For further information, see subscription terms and conditions in , General terms and conditions of agreements entered into and delivery of assignment, section 10, ., 9. External consultants in contractual relationships, If the customer wishes to use an external consultant to order and/or analyse data, the consultant's contact details, including his/her name and address, must appear from the contract. The customer's contact details must be stated under the billing address. The data may be provided to the customer or directly to the consultant. Once the invoice has been paid, the data becomes the customer's property. Consequently, the customer must comply with the restrictions regarding the disclosure or sale of raw data. The consultant may use the data only for purposes specified by the customer. On completion of the working relationship between the customer and the consultant, the consultant may no longer keep or use the customer's data. Non-compliance with this rule is possible only if the customer has entered into a reseller agreement with Statistics Denmark (cf. clause 16 on reseller agreements) or if otherwise agreed by the customer and Statistics Denmark. , Statistics Denmark is entitled to have a third party carry out tasks in full or in part under any contractual relationship. , 10. Meetings and other consultancy services, Meetings held at the request of the customer are paid at the current hourly service rate. ,  , Service task queries that can be responded to within 1 hour are free of charge. The free hour includes finding out whether data is available and, if requested, quoting a price. A service task can be further clarified through a feasibility study paid for by the hour and each fraction of an hour according to the current hourly service rate. If the customer then orders a task to be carried out on the basis of the feasibility study, the time spent performing the feasibility study will be deducted from the total price. Exceptions are negotiations and offers for interview assignments and the sale of standard products for which there is a price list. , Statistics Denmark reserves the right to charge a fee for advisory services in connection with the completion of assignments in addition to what is specifically agreed (see also clause 12 on price policy). , 11. General contractual conditions, Statistics Denmark has an established practice as to the use of standard contracts, giving customers an overview of the agreement entered into. The contract specifies the times of delivery, describes the contents of the delivery, clarifies data rights, prices and any special conditions relating to data protection, copyright, payment terms, etc. Statistics Denmark's General terms and conditions of agreements entered into and delivery of assignments, specifying Statistics Denmark's responsibilities, the rules on disclosure of material provided, the payment terms, and the rules on terminating agreements, etc. are enclosed with the contract. , Statistics Denmark will not enter into agreements involving penalty clauses or union membership agreements. , Unless otherwise explicitly agreed or stated in Statistics Denmark's standard contract, all contractual relationships between the customer and Statistics Denmark are subject to the General terms and conditions of agreements entered into and delivery of assignments. , 12. Price policy and payment terms, Statistics Denmark's price policy ensures that the price covers the costs incurred in connection with the assignment. The price must also contribute to covering any costs related to the preparation of data for special data runs of any kind. , As a general rule, offers are made at an agreed fixed price. Individual parts of an assignment can be paid on a time basis, e.g. in connection with data protection or test runs of new material. , Depending on their nature, assignments are charged on a one-off basis, on a prepayment basis or on an instalment basis. Statistics Denmark determines the payment terms in a specific agreement. , 13. Entry into force, An agreement between Statistics Denmark and the customer enters into force when the offer has been accepted by the customer. , 14. Product information, Errors and changes in material published or provided by Statistics Denmark excepted. Statistics Denmark disclaims liability for any errors or changes. , 15. Right of cancellation and complaints, The customer has no right of cancellation in connection with acquisitions of data or other electronic material, including material downloaded or delivered by email. , On delivery of the assignment, the customer has 30 days to complain about errors and omissions. The customer must provide written notification of the error to the employee who delivered or completed the assignment. , A 14 day right of cancellation is offered on purchases of books or other non-electronic material. , 16. Reseller agreements or publication, Disclosure, lending, leasing or sale of delivered tables or data to a third party is strictly subject to the conclusion of a reseller agreement with Statistics Denmark. Publication of data, e.g. on the Internet or by other means of reproduction, are strictly subject to prior agreement with Statistics Denmark. , 17. Formats and means of delivery, Delivery formats are agreed on a case by case basis. Special format requests are agreed on entering into an agreement. Assignment are typically emailed or submitted on CD-ROMs.

https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/priser-og-aftalevilkaar/forretningsvilkaar-og-betingelser

Short term trends

The short term economic development in Denmark is illustrated by a number of indicators. This development is shown in percentage in relation to, the previous period (t-1), three months before (t-3), the same quarter of the previous year (t-4) or the same month of the previous year (t-12) , The numbers of the short term economic development are updated on a daily basis at 8.05 am.,  , Period, Value, Dev.,  , National accounts,  ,  , t/(t-1),  , Gross domestic product, real growth , (DKK billion, 2020-price level chain figures),   Q4/25,   677,   0.2, Household consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q4/25,   275,   0.2, NPISH consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q4/25,   9,   0.0, Government consumption, real growth , (DKK billion, 2020-price level chain figures),   Q4/25,   158,   5.6, Gross capital formation, real growth , (DKK million, 2020-price level chain figures),   Q4/25,   130,519,   -6.2, Imports of goods and services, real growth, (DKK billion, 2020-price level chain figures),   Q4/25,   355,   -0.4, Exports of goods and services, real growth , (DKK billion, 2020-price level chain figures),   Q4/25,   449,   -0.5, Employment. National accounts , (persons),   Q4/25,   3,268,472,   0.3, Labour market,  ,  , t/(t-4),  , Jobs. WTA (number),   Q3/25,   3,491,020,   1.2, Jobs. Hours worked, WTA (1000 hours),   Q3/25,   1,071,994,   1.3, Indices of average earnings in Corporations and Organizations (1. qtr. 2005=100),   Q3/25,   164.0,   2.8, Indices og average earnings in the public sector, central government (1. qtr 2005=100),   Q3/25,   165.4,   1.7, Indices of average earnings in the public sector, local government (1. qtr. 2005=100),   Q3/25,   170.0,   4.6, Job vacancies,   Q3/25,   48,296,   -7.4, Registered unemployment,  ,  , t/(t-12),  , Gross unemployment (converted into full-time) per cent of the labour force , 2),   Dec/25,   2.9,   0.0, Gross unemployment (converted into full-time),   Dec/25,   89,480.0,   2.3, Net unemployment (converted into full-time) per cent of the labour force , 2),   Dec/25,   2.6,   0.1, Net unemployment (converted into full-time),   Dec/25,   78,699.1,   2.0, ILO unemployment,  ,  , t/(t-3),  , ILO-unemployment rate , 2),   Dec/25,   5.6,   -0.5, Consumption,  ,  , t/(t-1),  , Retail trade index total (2021=100),   Dec/25,   99.7,   -1.2, New registration of passenger cars (number),   Jan/26,   17,063,   6.7, Consumer confidence indicator,   Feb/26,   -13.1,   .., Industries,  ,  , t/(t-1),  , Number of persons employed in the construction industry total,   Q1/25,   198,314,   0.4, Domestic sales by VAT registered firms (DKK million),   Dec/25,   292,997,   -1.5, Industrial production index (2021=100),   Dec/25,   126.4,   -1.0,  ,  , t/(t-12),  , New registration of van and lorries (number) , 1),   Jan/26,   2,269,   3.3, Bankruptcies (number),   Jan/26,   479,   -5.3, Tendency Surveys,  ,  ,  , Sentiment indicators for construction , 1),   Feb/26,   99.3,   .., Sentiment indicators for industry , 1),   Feb/26,   92.5,   .., Sentiment indicators for service sector , 1),   Feb/26,   106.2,   .., Sentiment indicators for retail trade , 1),   Feb/26,   110.7,   .., Property Market,  ,  , t/(t-1),  , Construction Cost Index for residential buildings (2021=100) , 1),   Q3/25,   119.1,   -0.3, Price index for one-family houses (2022=100),   Q3/25,   106.9,   1.6, Forced sales of real property (number),   Jan/26,   69.0,   -23.3, External Trade and Balance of Payments,  ,  , t/(t-1),  , Import of goods (DKK milllion) , 1),   Dec/25,   74,484.7,   -2.8, Export of goods (DKK million) , 1),   Dec/25,   78,959.5,   -8.0, Import of services (DKK milllion),   Q4/25,   217,562.1,   1.4, Export of services (DKK milllion),   Q4/25,   224,628.3,   1.3, Balance of payments, surplus (DKK million) , 3),   Dec/25,   39,971.6,   4,195.9, Prices,  ,  , t/(t-12),  , Consumer price index (2025=100),   Jan/26,   99.53,   0.8, Price index for Domestic Supply (2021=100),   Jan/26,   115.1,   -3.3, Price index for domestic supply (2021=100) - Mineral fuels, mineraloil and distilery products thereof,   Jan/26,   103.7,   -22.4, Producer price index for commodity (2021=100),   Jan/26,   141.8,   -2.1, Import price index for commodity (2021=100),   Jan/26,   116.2,   -2.9, Government net lending,  ,  , t/(t-1),  , Government net lending (DKK million),   Q3/25,   29,132,   -17.0, Interest and share rates,  ,  , t/(t-1),  , Share index OMXC20 (july 3rd 1989=100),   Dec/25,   1,608,   3.7, Exchange rate, nominal effective Krone rate, monthly average (1980=100),   Jan/26,   106.8,   -0.4, Short interest rate, 3 month CIBOR (pct. p.a.) , 2),   Jan/26,   ..,   .., Long interest rate, 10-years central government bond (pct. p.a.) , 2),   Jan/26,   ..,   .., Footnotes, :, 1) Not seasonally adjusted, 2) Development in percentage point, 3) Development in DKK million

https://www.dst.dk/en/Statistik/temaer/overblik-dansk-oekonomi/Konjunkturindikatorer

Sanction rules

It is important that you familiarise yourself with and comply with Statistics Denmark’s transfer and data security rules. If you do not comply with the rules, you risk suspension of you or your entire institution with Statistics Denmark. Read about our sanction rules and case processing in case of data breach., Users of Statistics Denmark’s researcher machines are responsible for complying with our transfer and data security rules. This means that you, as a user, are responsible for: , Your work on the researcher machines being compliant with Statistics Denmark’s data security rules. , Read more under Rules for working with microdata,  , Transferring analysis results and materials in compliance with Statistics Denmark’s transfer rules. , Read more under Rules on transfer of analysis results,  , Notifying , Denmark’s Data Portal immediately if you realise that you have failed to comply with Statistics Denmark’s data security or transfer rules., For more details, read Statistics Denmark’s guideline material:, Rules for data safety under the microdata schemes (pdf), Breach of the rules? This is how you handle it, If you have broken Statistics Denmark’s rules or suspect that you have, you have a duty of notification. Complying with the duty of notification in relation to breach will be considered a mitigating circumstance., Please notify both the person responsible for authorisation in your institution and Denmark’s Data Portal; the latter by sending an email to , FSEHjemtag@dst.dk, with the following: , Your ident and the authorisation number of the institution you are associated with, Project number, if any, A description of the breach or where you suspect a breach, Date and time of the breach , If the breach involves files, for example files you have transferred, image files on your computer, in your mail box or similar, you must delete them immediately from your PC, DDP App, mail folders etc. and inform about this in your email to Denmark’s Data Portal.,  , Statistics Denmark’s sanction rules, If there is a breach of Statistics Denmark’s transfer rules or data security rules, Statistics Denmark can sanction users and, worst-case-scenario, entire institutions. Statistics Denmark’s sanction rules will be deployed if: , A user breaks the rules for working with microdata on Statistics Denmark’s researcher machines, for example by taking a screendump or transcribing from the researcher machine, , or, A user has transferred data with microdata, for example transferred a file with pseudonymised key variables from BOPIKOM, Note, : An isolated breach of the rules of statistical disclosure control will not result in sanctions. In case of repeated non-compliance, however, it can result in sanctions for the institution., Sanctions in case of breach - Assessment of severity and scope, Statistics Denmark makes decisions about sanctions. We distinguish between less severe and severe breaches: , Less severe breaches, : Thoughtless action or accident – for example identification in connection with troubleshooting, Severe breaches, : Conscious action – for example conscious attempt to identify individuals or enterprises in data , Statistics Denmark decides whether a breach is categorised as less severe or severe. In the assessment of the severity of a breach, we take the following into account:, Was it a thoughtless or conscious action?, Has the user detected the breach himself, and if so, observed his duty of notification?, In connection with transfer, : How large a volume of microdata has the user transferred?, In connection with transfer, : Has the transfer tool in DDP App been used for the transfer, and if so, has the user ignored the transfer module’s warning? , In case of isolated, less severe breaches, the sanction will target the user and the project where the breach has happened. This means that the project where the breach took place will be temporarily closed for everybody and the user’s access temporarily closed, so that he or she cannot access his or her projects. In case of severe or repeated breaches, i.e. where breaches have previously been registered on the institution number, the sanctions will be more rigorous. See the overview of sanctions below., Note, : If Statistics Denmark has previously registered a breach for an institution, breaches dating back more than 2 years will not be taken into consideration. This means that any new breaches will be handled as first-time-breaches., Overview of sanctions , Sanction system for the researcher scheme,  , Sanction against user and project, Access is closed for user and access to the project is closed , Sanction against institution, Access is closed for all users and access to all projects is closed , Occurrence, First time, Second time, in 2 years, Third time, in 2 years, Fourth time, in 2 years, Less severe , breach, Until report can be approved*, 1-month suspension*, 3-month suspension*, Concrete, assessment*, Potential termination of the institution’s authorisation agreement, Severe breach, 3-month suspension*, 3-month suspension*, Potential termination of the institution’s authorisation agreement and/or specific user agreement, 6-month suspension*, Concrete evaluation of the institution’s authorisation agreement and potential termination of the institution’s authorisation agreement*, Sanction system for the authority scheme,  , Sanction against user , Access is closed for user , Sanction against scheme, Access is closed for users of the scheme, Occurrence, First time, Second time , in 2 years, Third time , in 2 years, Fourth time , in 2 years, Less severe , breach, Until report can be approved*, 1-month suspension, 1-month suspension, Concrete assessment, Potential termination of authorisation agreement, Severe breach, 3-month suspension, 3-month suspension, Potential termination of authorisation agreement and/or user agreement, 3-month suspension, 6-month suspension, Potential termination of authorisation agreement, * When Statistics Denmark detects a breach that comes under the sanction rules, the user and the project where the breach occurred will be temporarily suspended, until Statistics Denmark has processed the case and made a decision. This applies regardless if it is an isolated breach or repeated breaches within two years. , Statistics Denmark makes a decision based on a report and a plan that must be presented to Statistics Denmark by the institution with which the user is associated. Statistics Denmark will not commence the processing of the case, until we have received an adequate report and plan. Statistics Denmark estimates whether the report and plan of an institution is adequate or should be rewritten.  , You can read more about Statistics Denmark’s case processing and the requirements to the report and the plan under ”Statistics Denmark’s case processing in connection with breach of rules - guide”.,  , Statistics Denmark’s case processing in connection with breach of rules - guide, When Statistics Denmark receives a notification, or we find out ourselves that a user has not complied with Statistics Denmark’s data security and transfer rules, the user in question and the project where the breach has taken place will be temporarily suspended. The suspension lasts until Statistics Denmark has received an adequate report about the incident and a plan for prevention of similar breaches in future, and Statistics Denmark has processed and decided the case., The case processing step-by-step , The process takes place in the following steps:, Step: Presentation and demand for report and plan, When Denmark’s Data Portal receives a notification, or find out themselves that a user has not complied with Statistics Denmark’s rules, the user in question and the person responsible for authorisation in the institution will be notified by email., Denmark’s Data Portal informs about the date of the suspension of the project and of the user in question, and they will request an adequate report about the incident and the scope of the breach as well as an adequate plan for preventing similar breaches in future. Both the report and the plan must be completed in the standard template provided by Denmark’s Data Portal., The person responsible for authorisation in the institution is responsible for the report and the plan being prepared and sent to Denmark’s Data Portal., Presentation and plan – demand for “adequacy”, With the demand for adequacy, Denmark’s Data Portal asks for an adequate report about the incident and the scope of the breach. By an adequate plan is meant a report and any documentation for appropriate technical, organisational and/or staff-related measures the institution has implemented in the light of the breach. The plan can consist of e.g.:, A brief account of the current rules and practice in the institution that may be relevant for the case, A presentation of what the institution has done in connection with the breach, for example, which consequences it has had for the user, A plan for what the institution is going to do to prevent similar breaches in future, It is important that it is not statements of intent. This means that the institution must account for the initiatives that they have already implemented or will implement, and describe the process behind it. Examples could be:, Has the person responsible for authorisation held a meeting with relevant stakeholders in the institution about the breach? (Indicate: Who? When? Which proposals/decisions were made?). Attach any resolution minutes., Has the person responsible for authorisation made proposals or suggested solutions to a relevant committee, the executive board, the governing body or similar? (Indicate: Who? When? What is/was on the agenda? What was decided?). Attach the agenda and/or resolution minutes., Has a decision been made in the institution to enhance for example the communication, instructional materials, code of conduct or similar? (What? How? When? Who is the target group?)., Has the institution adopted or made any other efforts to prevent similar breaches in future? (What? How? When? Who is the target group?)., If Denmark’s Data Portal estimates that the report, plan or both are inadequate, Statistics Denmark will notify you about it and request a new one., Step: The case processing in Statistics Denmark, When Statistics Denmark estimates that the report and plan we have received are adequate, Denmark’s Data Portal will prepare the case for Statistics Denmark’s Supervisory Board and Director General. You can expect the case processing to take approximately 8 working days from we receive the adequate report until we send our decision., Step: Decision, When Statistics Denmark has made a decision of the case, we send a decision letter by email to the person responsible for authorisation. The letter contains the final decision from Statistics Denmark’s Director General, including the reason for the decision and information on whether the temporary suspension of the project and the user is lifted or whether further sanctions are imposed on the user or the institution., Guides, agreements and documents in relation to data security and responsibility, Statistics Denmark’s data security rules under the Microdata schemes, Rules for data safety under the microdata schemes (pdf), Statistics Denmark’s information security and data confidentiality policy , Information security and data confidentiality policy – Statistics Denmark, Agreements (in Danish), Autorisationsaftale (pdf), Databehandleraftale (pdf), Tilknytningsaftale (pdf), Brugeraftale (pdf)

https://www.dst.dk/en/TilSalg/data-til-forskning/regler-og-datasikkerhed/sanktionsregler

Component 1: Integrated administrative data system

1.0: Project preparation, Activity 1.0.A - Mission report - Assessment and planning (ENG), Activity 1.0.A - Mission report - Assessment and planning (AR), Activity 1.0.A - Population statistics - DoS (ENG), Activity 1.0.A - Population statistics - DoS (AR), Activity 1.0.A - SBR - DOS (ENG), Activity 1.0.A - SBR - DoS (AR), Activity 1.0.A - Administrative data - SD (ENG), Activity 1.0.A - Administrative data - SD (AR), Activity 1.0.A - Population statistics - SF (ENG), Activity 1.0.A - Population statistics - SF (AR), Activity 1.0.A - Statbus presentation - SD (ENG), Activity 1.0.A - Statbus presentation - SD (AR), Activity 1.0.A - Summary and conclusions (ENG), Activity 1.0.B - Mission report - Assessment and planning IT (ENG), Activity 1.0.B - Mission report - Assessment and planning IT (AR), Activity 1.0.B - Dataflow and systems - SD (ENG), Activity 1.0.B - Dataflow and systems - SD (AR), Activity 1.0.B - IT From order taker to powerful business partner - SD (ENG), Activity 1.0.B - Template for business case and assessment of service provider - Statistics Denmark (ENG), 1.1: Inventory and roadmap, Activity 1.1.1 - Mission report Roadmap for population statistics (ENG), Activity 1.1.1 - Mission report Roadmap for population statistics (AR), Activity 1.1.1 - Quality of register based census in Lithuania (ENG), Activity 1.1.1 - Quality of register based census in Lithuania (AR), Activity 1.1.1 - Steps to Assess Data Quality of Registers (ENG), Activity 1.1.1 - Steps to Assess Data Quality of Registers (AR), Activity 1.1.2 - Mission report - Roadmap for the developing a SBR in Jordan (ENG), Activity 1.1.2 - Mission report - Roadmap for the developing a SBR in Jordan (AR), Activity 1.1.2 - Administrative Data Cooperation in Statistics Finland (ENG), Activity 1.1.2 - Administrative Data Cooperation in Statistics Finland (AR), Activity 1.1.2 - The German SBR (ENG), Activity 1.1.2 - The German SBR (AR), 1.2: Pilot SBR, Activity 1.2.1 - Mission report - Strategy for cooperation with administrative data owners for establishing a SBR (ENG), Activity 1.2.1 - Mission report - Strategy for cooperation with administrative data owners for establishing a SBR (AR), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SD (ENG), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SD (AR), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SF (ENG), Activity 1.2.1 - Strategy for cooperation with administrative data owners - SF (AR), Activity 1.2.1 - Strategy for cooperation with administrative data owners - Conclusions (ENG), Activity 1.2.2 - Mission report - StatBus I (ENG), Activity 1.2.2 - Mission report - StatBus I (AR), Activity 1.2.2 - Introduction to StatBuS (ENG), Activity 1.2.2 - Introduction to StatBuS (AR), Activity 1.2.3 - Mission report - StatBus II (ENG), Activity 1.2.3 - Mission report - StatBus II (AR), Activity 1.2.3 - Characteristics of units (ENG), Activity 1.2.4 - Mission report - Introduction and testing of the StatBus System III (ENG), Activity 1.2.4 - Mission report - Introduction and testing of the StatBus System III (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (ENG), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (ENG), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (AR), Activity 1.2.7 - Mission Report - Quality of the Statistical Business Register SBR (ENG), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (AR), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (ENG), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (AR), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (ENG), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (AR), Activity 1.2.8 - Mission report - Suitable Resources for Variables in SBR (ENG), Activity 1.2.9 - Mission report - Installation StatBus vers 2 and upload of test data (AR), Activity 1.2.9 - Mission report - Installation StatBus vers 2 and upload of test data (ENG), 1.3: Pilot population statistics, Activity 1.3.2 - Mission report - Best practice Population statistics (ENG), Activity 1.3.2 - Mission report - Best practice Population statistics (AR), Activity 1.3.2 - German census (ENG), Activity 1.3.2 - German census (AR), Activity 1.3.2 - Population statistics in Finland (ENG), Activity 1.3.2 - Population statistics in Finland (AR), Activity 1.3.2 - Lithuanian census (ENG), Activity 1.3.2 - Lithuanian census (AR), Activity 1.3.2 - Summary (ENG), Activity 1.3.3 - Mission report - Best practices for evaluating quality of administrative data (ENG), Activity 1.3.3 - Mission report - Best practices for evaluating quality of administrative data (AR), Activity 1.3.3 - Introduction from STEs on quality of registers (ENG), Activity 1.3.3 - Introduction from STEs on quality of registers (AR), Activity 1.3.3 - Status DoS (ENG), Activity 1.3.3 - Status DoS (AR), Activity 1.3.3 - Use of Administrative Data for Census (ENG), Activity 1.3.3 - Use of Administrative Data for Census (AR), Activity 1.3.4 - Mission report - Establishing a population register based on administrative data sources (ENG), Activity 1.3.4 - Mission report - Establishing a population register based on administrative data sources (AR), Activity 1.3.4 - Administrative Data Division in DoS (ENG), Activity 1.3.4 - Administrative Data Division in DoS (AR), Activity 1.3.4 - Administrative data for producing population statistics in Italy (ENG), Activity 1.3.4 - Administrative data for producing population statistics in Italy (AR), Activity 1.3.4 - Introduction to the population register in Germany (ENG), Activity 1.3.4 - Introduction to the population register in Germany (AR), Activity 1.3.5 - Mission Report - Building an Address Register (AR), Activity 1.3.6 - Mission report - Quality and metadata (ENG), Activity 1.3.6 - Mission report - Quality and metadata (AR), Activity 1.3.6 - Introdction - Metadata overview (ENG), Activity 1.3.6 - Introdction - Metadata overview (AR), Activity 1.3.6 - Harmonisation table (ENG), Activity 1.3.6 - Harmonisation table (AR), Activity 1.3.6 - Quality management (ENG), Activity 1.3.6 - Quality management (AR), Activity 1.3.6 - Quality of administrative registers in DoS (ENG), Activity 1.3.6 - Quality of administrative registers in DoS (AR), Activity 1.3.6 - Reference metadata practice (ENG), Activity 1.3.6 - Reference metadata theory (AR), Activity 1.3.6 - Reference metadata theory (ENG), Activity 1.3.6 - Role and task of the Quality Unit at Istat (ENG), Activity 1.3.6 - Role and task of the Quality Unit at Istat (AR), Activity 1.3.5 - Mission Report - Building an Address Register (ENG), Activity 1.3.6 - Standardised production - introduction to GSBPM (ENG), Activity 1.3.6 - Standardised production - introduction to GSBPM (AR), Activity 1.3.6 - Structural metadata (ENG), Activity 1.3.6 - Structural metadata (AR), Activity 1.3.6 - Tasks of the Quality Department in DoS (ENG), Activity 1.3.6 - Tasks of the Quality Department in DoS (AR), Activity 1.3.10 (o) - Mission Report - Experiences and challenges from the combined census in Aqaba (ENG), Activity 1.3.10 (o) - Mission Report - Experiences and challenges from the combined census in Aqaba (AR), Activity 1.3.6 - Reference metadata practice (AR), Activity 1.3.7- Mission report - Linking administrative data and survey data (AR), Activity 1.3.7- Mission report - Linking administrative data and survey data (Eng), 1.4: Data flows, Activity 1.4.1 - Mission report - IT strategy with activity track (ENG), Activity 1.4.1 - Mission report - IT strategy with activity track (AR), Activity 1.4.1 - Strategy process - presentation SD (ENG), Activity 1.4.1 - Summary IT Strategy (ENG), Activity 1.4.2 - Mission report Information security (ENG), Activity 1.4.2 - Mission report Information security (AR), Activity 1.4.2 - Information security at Statistics Denmark (ENG), Activity 1.4.2 - Information security at Statistics Denmark (AR), Activity 1.4.2 - Information security at Statistics Lithuania (ENG), Activity 1.4.2 - Information security at Statistics Lithuania (AR), Activity 1.4.4 - Mission report - Data management Center (DMC) I - Requirement specification (ENG), Activity 1.4.4 - Mission report - Data management Center (DMC) I - Requirement specification (AR), Activity 1.4.4 - Requirement Specification DMC 2023 (ENG), Activity 1.4.4 - Requirement Specification DMC 2023 (AR), Activity 1.4.4 - DMC Network Diagram, Activity 1.4.4 - DMC overview, Activity 1.4.5 - Mission report - DMC II (ENG), Activity 1.4.5 - Mission report - DMC II (AR), Activity 1.4.5 - Introduction to Data Centers (ENG), Activity 1.4.5 - Introduction to Data Centers (AR), Activity 1.4.5 - Pseudonymization of identifying variables (ENG), Activity 1.4.5 - Pseudonymization of identifying variables (AR), Activity 1.4.6 - Mission report - Information Security policy (ENG), Activity 1.4.6 - Mission report - Information Security policy (AR), Activity 1.4.6 - Draft for a Information Security policy in DoS (ENG and AR), Activity 1.4.6 - Security and ISO27001 (ENG), Activity 1.4.6 - Security and ISO27001 (AR), Activity 1.4.6 - Introduction to GDPR (ENG), Activity 1.4.6 - Introduction to GDPR (AR), Activity 1.4.6 - Information Security Information Management System (ISMS) in Lithuania (ENG), Activity 1.4.6 - Information Security Information Management System (ISMS) in Lithuania (AR), 1.5: Training, Activity 1.5.1 - Mission report - Metadata awareness and reference metadata (AR), Activity 1.5.1 - Mission report - Metadata awareness and reference metadata (ENG), Activity 1.5.2 - Mission report - Metadata awareness and Structural metadata (AR), Activity 1.5.2 - Mission report - Metadata awareness and Structural metadata (ENG), 1.6: National Data Center, Activity 1.6.3 - Mission report - Introduction to SDMX (AR), Activity 1.6.3 - Mission report - Introduction to SDMX (ENG), Mission 1.6.4 - Mission report - Final (English), Mission 1.6.4 - Mission report - Final (Arabic), Activity 1.6.5 - Mission report - Data Security confidentiality and statistical disclosure control (SDC) (AR).docx, Activity 1.6.5 - Mission report - Data Security confidentiality and statistical disclosure control (SDC) (ENG)

https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-1-integrated-administrative-data-system

Historical projects

Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, Between November 2013 and April 2015, Statistics Denmark implemented an EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communi­cation with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013.

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

The Right to be Counted!

A fundamental civil right to gain access to essential social services and exercise democratic rights., 12 December 2024 12:00 , By , Klaus Munch Haagensen, In an increasingly interconnected world, the right to be counted has emerged as a fundamental civil right. Civil registration and identification systems – whether in the form of birth certificates, national ID cards, or social security numbers – are critical tools that enable individuals to exercise their democratic rights and access essential social services. However, the benefits of these systems come with significant challenges, including issues of data privacy, accessibility, and the potential for misuse., Civil Rights Tied to Registration, Modern governance rests on the principle that individuals must be recognized by the state to exercise their civil rights. Legal identification, whether through birth registration or national ID cards, ensures individuals are both counted and protected under the law of the state. Without formal recognition, millions of citizens worldwide are excluded from basic rights, such as voting, social security, and the ability to engage in civic life., The phrase "If you are not counted, you have no civil rights" encapsulates the importance of registration. Without legal identity, individuals cannot vote, access healthcare, or seek protection from the legal system. In many developing regions, the lack of registration at birth or access to an ID leaves entire populations invisible, further marginalizing vulnerable groups and obstructing social equality., The Statistical Power of Civil Registration, Beyond safeguarding rights, civil registration systems are crucial for effective governance. Paired with a unique identifier, such as a national ID number, these systems provide accurate population data, enabling governments to plan and allocate resources more effectively., In Statistics Denmark’s Strategic Sector Cooperation (SSC) projects in Ghana, Morocco and Vietnam, we are working with our partner organisations and the Danish embassies to advocate for civil registration and linking it with other administrative data for statistical purposes and thus for improved planning and decision-making., The central promise of the UN’s 2030 SDG agenda to 'Leave No One Behind' relies on effective civil registration systems and accurate statistics. Without knowing who lives in a given area, it is impossible to determine whether any person or group has been left behind., In Ghana, for instance, the national identification system, centred on the Ghana Card, links voter registration with demographic data. This allows for better tracking of voter participation and helps the government forecast changes in population dynamics, economic trends, and service requirements. By linking administrative data to a clear identifier, countries like Ghana can better plan for the future, using real-time information to adapt to emerging challenges., Currently, a concerning amount of children in Ghana remain unregistered, rendering them effectively invisible and unrecognized by governmental bodies and legal systems. The introduction of the Ghana card at birth represents a crucial step forward in the nation's journey towards digital transformation and the guarantee of fundamental rights from the outset of life. , In April 2024, Ghana launched a Civil Registration System for infants to remedy the situation. The registration system enables infants of 6-weeks to obtain their own unique personal identification number and card. This documentation will serve as both digital and physical evidence of their legal identity, family relations, and entitlements from the time of birth, thereby ensuring essential social protection. , Furthermore, this initiative holds immense promise for enhancing data collection. By leveraging administrative data sources such as the Ghana card for infants, in conjunction with other administrative data, the SSC partner Ghana Statistical Service can transition from the reliance on surveys to utilizing more robust and more inexpensive data sources. This transition will facilitate the provision of critical information necessary for evidence-based decision-making., The national ID enables citizens to identify themselves and participate in legal transactions, such as opening a savings account, paying taxes, getting married, or enrolling in school., The , Pitfalls: Privacy Concerns and Data Misuse, Despite the many benefits of civil registration systems, they can also present significant risks if not properly managed. Centralized systems are vulnerable to misuse, especially in politically unstable environments. Governments or third-party actors can exploit personal data for surveillance, discrimination, or political control. , Privacy and data security are critical. Registration systems must be built with strong safeguards to protect against unauthorized access. Without trust in the system, people may avoid registering out of fear their data could be used for harmful purposes, such as deportation or racial profiling., For example, in some countries, marginalized communities, such as ethnic minorities or refugees, may avoid registration because of concerns that their data will be used to exclude them from public life or subject them to government monitoring. This exclusion exacerbates existing inequalities, leaving these groups without access to social services furthering their vulnerability., Privacy concerns and the risk of misuse create a dilemma for democracy and the goal of leaving no one behind. If people are not 'counted,' we cannot know who may be left behind, and without registration, individuals cannot be assured the opportunity to exercise their civic rights., Case Studies: Successes and Challenges, Several countries have implemented civil registration systems with varying degrees of success. In Ghana, the Ghana Card has become central to voter registration and participation in elections. During the December 2024 election, the government encouraged citizens to register as voters using their Ghana Card. However, it was not mandatory, as individuals could also register with a birth certificate or through a guarantor who attested to their identity. Of the 1.7 million Ghanaians who registered for the first time for this election, the majority reportedly used the Ghana Card, although the exact proportion is currently unknown. Many Ghanaians who voted in the election had already been registered in previous elections and participated using their existing voter cards. , More practically, the Ghana Card also serves as a personal ID for financial transactions and everyday tasks, such as obtaining a cell phone., Additionally, a pilot program in Denmark has been launched to issue Ghana Cards at the Ghanaian embassy for Ghanaians residing abroad, expanding access to the diaspora community., In Morocco, the costs of conducting a national census have prompted discussions about transitioning to an administrative civil registration system based on data. This would not only reduce the costs associated with traditional censuses but also ensure more accurate and continuous population data collection., A Global Challenge, The challenge of ensuring universal registration is not unique to Ghana or Morocco. Across Africa and the developing world, birth registration rates remain low, particularly in rural and remote areas. This issue is especially severe for communities with lifestyles less integrated into the formal economy and limited access to government services that require ID., Ongoing research, such as Amanda Wendel Malm's work in the Certification of Citizenship in Africa project at the University of Copenhagen, [1], , explores the dynamics, implications, and policy negotiations surrounding legal identification in Ghana and Uganda, as well as at international organizations. This research highlights the consequences of the push for new and updated national ID systems. When countries began implementing these systems, they had significant impact – partly on Civil Registration and Vital Statistics (CRVS) systems – which in some instances received lower priority, less attention, and, in some cases, reduced funding., For example, in Ghana, we can see similar challenges before addressing the integration of children into the national ID system. National IDs, both in international discourses and national policies, are frequently designed with an adult population in mind. Similarly, at the international level, tensions have emerged between agencies and organizations regarding the prioritization of national ID systems versus CRVS systems., The essence of the matter is the need for a foundational and interoperable system in which different forms of registration and identification – such as national IDs and CRVS – are equally valued and interconnected. This balance is crucial to avoid undermining certain registration forms and their connected statistics, such as birth and death registrations. It is vital for both the international community and individual countries to ensure that no single form of registration is neglected in favour of developing another., The Way Forward: Balancing Equity, Security, and Democracy, As civil registration is essential to democratic participation and social protection, it is crucial that these systems are designed with equity and security at their core. Marginalized communities must have equitable access to registration, and robust privacy protections must be in place to safeguard personal data., Moreover, governments must strive to build trust with their citizens, ensuring that registration systems are not perceived as tools of control or oppression. This is especially important in regions where ethnic tensions or a history of political repression may lead to fears about data misuse. , By promoting a comprehensive and inclusive approach, governments can ensure that all forms of registration work in harmony to support equitable access to services, robust policy-making, and accurate demographic data., In the broader global context, the right to be counted is a human right. As countries work to achieve universal registration, they contribute to a more equitable and democratic world where no one is left behind. Civil registration is more than a bureaucratic exercise – it is a gateway to civil rights, social justice, and the promise of democratic participation for all., You can read more abour Staistics Denmarks capacity building projects here., [1], https://teol.ku.dk/english/dept/certizens-certifications-of-citizenship-in-africa/,  , Source: This news article is written by Klaus Munch Haagensen , chief advisor and project manager for Statistics Denmarks Strategic Sector Cooperation project in Morocco.

https://www.dst.dk/en/consulting/news-from-international-consulting/2024/12-12-2024-the-right-to-be-counted

Denmark is number 1 in E-government

A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. , 23 November 2022 9:00 ,  , Denmark is one of the leading countries when it comes to E-government. A recent UN E-Government survey ranked Denmark the best performing country when it comes to offering digital services to citizens and companies. Denmark is also doing very well in the , OECD Digital Government Index, . The foundation behind today’s digital success story goes back more than 50 years. And over the years digitalization has massively affected how we perceive and produce statistics. , The journey towards administrative data, Recently Statistics Denmark had three different study visits on the use of administrative data. It gave us a possibility to revisit the story of administrative data in Denmark. Reflecting on the Danish journey it becomes clear that the story is not just one of administrative data but one of digitization of the entire Danish public sector and society. In statistics we usually define administrative data as data collected for other purposes than statistics., In Denmark the use of administrative data is built on the holy trinity of the Central Personal Register (CPR), the Building and Housing Register (BBR) and the Central Business Register (CVR) – all being interlinked using unambiguous identifiers. These identifiers are used consistently at all levels of government and by civil society.,  , Schematic overview of interlinked administrative data sources in Denmark., The 1960’s – building the basic registers, When the Central Personal Register (CPR) was established in 1968, it was not constructed in order for Statistics Denmark to have a short cut to generate basic population statistics on any chosen day. The possibility of having a daily population and housing census was more like an unexpected side benefit., The political driver behind the CPR was tax collection. In order to make businesses responsible for deducting income taxes before handing over the rest of the salary to their employees, the government in general – and the tax authority in particular – needed a unique identifier and the correct address of every Dane. Or rather they needed the address of everyone having permanent residence in Denmark., Due to the fact that both companies and real-estate in Denmark are heavily taxed, the two other registers soon followed. In terms of statistics, these main registers worked – and worked well. In the Danish administrative setup (Ministries, Agencies, Regions and Municipalities), the main identifiers were consistently used to build new administrative systems. Storing administrative information on subjects such as education, social benefits, health records, car ownership, housing and taxes allowed the government to keep exact records of services provided to the population. This stored information greatly eased “day to day” administration. The availability of the unambiguous identifier also ensured that social services can only be provided once. The benefits of having a complete list of citizens, companies and buildings encouraged government authorities to build their administrative systems using these identifiers as they allow the authorities to share information.         , As the registers developed over the years, they allowed Statistics Denmark to produce nearly all social statistics using administrative data sources. This development was highly facilitated by the act on Statistics Denmark from 1966 which required all public administrative units to allow Statistics Denmark to access the raw individual data in their administrative systems., Advanced modelling of policy initiatives, In the 1980’s the Danish Ministry of Finance realized that the statistical registers at Statistics Denmark could be used to model the effects of proposed legislation. In the beginning, a 3% sample of the registers was used to keep the time for processing data to a minimum and thus affordable. Today simulations of proposed legislation or policy initiatives are based on the entire population. The work has been institutionalized under the so called “Legislative Model”. The Legislative Model is placed in a division in the Ministry of Finance and has access to micro data in an anonymized form. The Ministry of Finance has the same kind of access which pertains to authorized research institutions. This means that they can calculate the aggregates but cannot access the individual data. So it is possible for the Ministry of Finance to calculate that e.g. 2,345 people will be affected by a piece of legislation. But they cannot see who these people are. The access to data through Statistics Denmark’s means that the Ministry of Finance has a one-stop-shop for their data needs and do not have to collect data from other administrative units. This use of statistical registers was part of the vision behind the act on Statistics Denmark from 1966 as it also enabled Statistics Denmark to provide data access for modelling and research. ,   , Presentation of the Danish model for simulation of policy initiatives, By Nicolai Steinmetz Møller from the Danish Ministry of Finance., The 2000’s - a new push towards digitalization of the society, In the early 2000’s the Danish Ministry of Finance began to think in terms of digitization in the first instance understood as digital communication and later also as self-service. The journey can best be described as starting in 2001 when it was decided that citizens and companies could send e-mails to the public sector and they could communicate digitally. So starting that year civil servants had to read emails and interact electronically if the users wanted to. The push in the early 2000’s was initiated by the internet, which made electronic mail readily available as an easy way of communication. The computing power on the big expensive main frame computers was suddenly replaced by the personal computers bringing computers to the public.,  , Director Rikke Zeberg from the Confederation of Danish Industry briefs the Ghanaian delegation on Denmark’s Digital Journey. Rikke Zeberg was the first director of the Agency of Digital Government under the Ministry of Finance making her one of the main architects of Denmark’s Digital Journey.    , The 2010’s - Companies must now both read and answer their e-mails, In 2011, the decision on electronic communication was reversed and companies and citizens alike were required to communicate with the government by email and the use of relevant self-services. In retrospect, the postal service in Denmark has always been considered so reliable that if a public authority mailed a letter, then people were considered as having been notified. , Now suddenly citizens did not have to look for letters from Statistics Denmark or the tax authority in their mailbox, but instead pay attention to and act upon mail delivered to a personal electronic mail box provided by the government. All interaction between companies and the government is now channeled through a one-stop-portal called virk.dk. Citizens can interact with the government and access all their information through a similar portal called borger.dk (citizens.dk. , The need for a digital signature and authentication, The physical mailbox next to the front door is considered to be secure when the postman drops a letter in it. However digital communication have more complex security issues. Access needs to be controlled and the identity of the recipient has to be verified. Strangely enough physical mail can be picked up and read by your partner from the mail box, but electronic mail must only be accessible to you - at least from the point of view of the government agency or the private company sending the mail. To solve this problem a digital identity and authentication is needed., As the CPR holds a complete list of all Danish citizens and people currently living in Denmark the register can be used as the foundation of a digital ID. The digital identity allows citizens and companies to interact electronically with each other and to legally sign documents. , The interesting thing about the digital identity, now in its third major edition, is that the solution behind the “identity” is a public private partnership owned by the government, regions, municipalities and banks. The public private partnership ensures that a common identity is used by both government and companies alike and that the service is competitively procured., The need for self-registration, The overarching question from all our visitors was: How do you make sure that people actually self-register and update their registrations in the Central personal Register? There are a multitude of answers: , First , of all people in general have a very high trust in the system, and , secondly, it is very difficult to live in Denmark if you do not keep you records updated, because our society is so data driven today. The , third, reason for keeping digital records updated is that both citizens and business can be fined if they do not keep their records updated., The Ghanaian delegation is briefed on digitalization at Health Care Demark in Odense, Through the Strategic Sector cooperation, The exchange visits on administrative data was organized under the Strategic Sector Cooperation initiative financed by the Danish Foreign Ministry and Statistics Denmark hosted delegations from Brazil, Morocco and Ghana. The exchange visits involved Digital Hub Denmark and Healthcare Denmark. Both are public private partnerships created to promote Danish experiences in digitalization in general and in healthcare and life science respectively to the rest of the world., Former Mister of Education and Research Morten Østergaard talks at the Digital Hub Denmark on how digitalization can support the green transition, .  , As part of our work on administrative data we have developed a guide addressing some of typical “How to get started” questions. Get in touch with us if you want to learned more on how we see statistics through the lenses of admin data and digitalization., You can visit the two hubs online: , Digital Hub Denmark,   , and , Health Care Denmark, . If you get in touch with them they are more than happy to tell you about Denmark’s digital journey. ,  , [KMH1]

https://www.dst.dk/en/consulting/news-from-international-consulting/2022/23-11-2022-Denmark-is-number-1-in-E-government