Search result

Quality in official statistics

Several factors characterise the quality of official statistics even if it is often accuracy that is focused on when talking about quality - that is, how precisely the statistics describe reality. For the users, however, it is also important that the statistics are relevant so that they describe the phenomenon the user is interested in. The statistics must also be timely enough for it to be a basis for decisions, and it must therefore not take too long before it is published. Time series that describe the development in an area and are comparable to similar developments in other countries are often important. For the users, the statistics must also be accessible – readily available, easy to locate and presented through formats that enable understanding.,  , What is official statistics?, Statistics contribute to decisions at all levels in Danish society being made on the basis of credible and objective information - everything from government policy and research to the actions of private companies and the everyday choices of individuals. A prerequisite for this, however, is that there are standards that ensure that the statistics are credible and objective. To address this issue, the concept of ‘Official Statistics’ has been introduced in the Act on Statistics Denmark. The act stipulates that statistics that are publicly produced and that meet a number of quality criteria can be called official statistics. For all public authorities that produce statistics, guidelines for official statistics have been prepared, which are described in more detail on the , Official Statistics Portal,  (in Danish only).,  , Common quality framework, European Statistics Code of Practice, The European Statistics Code of Practice is the cornerstone of the common framework for the quality of European Statistics. The Code of Practice consists of 16 principles covering institutional environment, statistical processes and statistical output. The Code of Practice was adopted in 2005 and revised in 2011 and 2017., The Code of Practice is designed to strengthen confidence in the European Statistical System and to ensure that all producers of official statistics in the EU apply the best international statistical principles and methods., European Statistics Code of Practice (pdf), In support of the Code of Practice, a Quality Assurance Framework has been developed. This supports the quality requirements and provides advice on methods, tools and practices that can be useful in implementing measures to be able to comply the Code of Practice., Quality Assurance Framework of the European Statistical System (pdf),  , UN’s Fundamental Principles, UN’s Fundamental Principles for Official statistics, Principle 1. Official statistics provide an indispensable element in the information system of a democratic society, serving the Government, the economy and the public with data about the economic, demographic, social and environmental situation. To this end, official statistics that meet the test of practical utility are to be compiled and made available on an impartial basis by official statistical agencies to honour citizens’ entitlement to public information. , Principle 2. To retain trust in official statistics, the statistical agencies need to decide according to strictly professional considerations, including scientific principles and professional ethics, on the methods and procedures for the collection, processing, storage and presentation of statistical data. , Principle 3. To facilitate a correct interpretation of the data, the statistical agencies are to present information according to scientific standards on the sources, methods and procedures of the statistics. , Principle 4. The statistical agencies are entitled to comment on erroneous interpretation and misuse of statistics., Principle 5. Data for statistical purposes may be drawn from all types of sources, be they statistical surveys or administrative records. Statistical agencies are to choose the source with regard to quality, timeliness, costs and the burden on respondents. , Principle 6. Individual data collected by statistical agencies for statistical compilation, whether they refer to natural or legal persons, are to be strictly confidential and used exclusively for statistical purposes. , Principle 7. The laws, regulations and measures under which the statistical systems operate are to be made public. , Principle 8. Coordination among statistical agencies within countries is essential to achieve consistency and efficiency in the statistical system. , Principle 9. The use by statistical agencies in each country of international concepts, classifications and methods promotes the consistency and efficiency of statistical systems at all official levels. , Principle 10. Bilateral and multilateral cooperation in statistics contributes to the improvement of systems of official statistics in all countries.,  ,  , European quality evaluation – ESS peer review , Evaluations and reviews of Statistics Denmark, including international evaluations, are carried out at regular intervals, for example, ESS peer reviews. The purpose of peer reviews is to evaluate whether the EU Member States and EFTA-countries comply with the 16 basic principles of official statistics as set out in the Code of Conduct for European Statistics. In addition, coordination within the national statistical system as well as integration in relation to the ESS is evaluated., In the spring of 2022, Denmark was last assessed by a European expert team. The European team of experts, organized by Eurostat, made their assessment of the production of statistics through documentation and self-assessment. The expert team had dialogues with Statistics Denmark, other national producers of European statistics, the media and other users of European statistics as well as representatives of suppliers of data for statistical production. The other producers of European statistics that also were assessed were the Danish Energy Agency, the Danish Environmental Protection Agency and the Danish Immigration Service. As a result of the peer review, the expert team has delivered recommendations that can contribute to improving the quality of official statistics in Denmark., Peer review report 2022 (pdf), Follow-up on the European Peer Review 2022, In the spring of 2022, Statistics Denmark was last assessed by a team of European experts in a peer review. Following the peer review, a report is prepared with recommendations for improvements. Statistics Denmark has, in response to these recommendations, developed a series of improvement actions, which we will work to implement towards 2027. Our improvement actions can be found in the document below., The improvement actions were formulated at the end of 2022, but has not been published before November 2024, as a prolonged harmonization process in Eurostat has delayed the process. In some areas, this delay could result in processes being initiated that are not described in our improvement actions, or that some measures has lost their relevance and timeliness., Follow up on peer review - improvement action (pdf),  , Two rounds of peer reviews have previously been conducted - in 2007 and in 2015:, Peer review report 2015 (pdf), Peer review report 2007 (pdf),  ,  

https://www.dst.dk/en/OmDS/kvalitet-og-styring/kvalitet-for-statistikproduktion/kvalitet-i-officiel-statistik

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

Documentation of statistics: Road Traffic Accidents

Contact info, Population and Education, Social Statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , JKP@dst.dk , Get documentation of statistics as pdf, Road Traffic Accidents 2021 , Previous versions, Road Traffic Accidents 2020, Road Traffic Accidents 2019, Road Traffic Accidents 2018, Road Traffic Accidents 2017, Road Traffic Accidents 2015, Road Traffic Accidents 2014, Road Traffic Accidents 2013, The purpose of the statistics is to collect and publish information on road traffic accidents in order to create a basis of knowledge for making decisions that can reduce the number of road traffic accidents and the consequences thereof. The statistics on road traffic accidents originate from 1 January 1930. The source of the statistics has until 1 January 2003 been the temporary and final reports from the police. From this date Statistics Denmark only receives an annual extract from the Road Directory with the police's final reports. Apart from this, the most fundamental alterations that have been introduced concern the classification of accidents, the scope of the statistics and the actual reporting procedures., Until 1938, the classification of accidents was not unambiguous. From 1938 to 1966, accidents were categorized according to the main cause of the accident, which was determined by a legal judgement. From 1967 onwards, this judgement has been replaced by a classification of the accident, which is not based on the concept of blame, but on the actual description of the circumstances surrounding the accident., From 1930 to 1958, the statistics included accidents resulting in personal injury as well as damage to property. Since 1958, accidents involving only damage to property are no longer covered by the statistics, and from 1967 accidents involving only pedestrians are no longer covered either, whether the accident resulted in a casualty or not., Up until and including 1975, the police reports were sent straight to Statistics Denmark. In 1976, the reporting system was expanded, so that the highway authorities in counties and municipalities take part in the reporting by locating the accidents. As from November 1997 and up to and including April 2000, a new system of computerized reporting was gradually introduced in the police., Since 1 January 2003 the police reports have been sent to the Road Directorate from whom Statistics Denmark receives an annual extract., Statistical presentation, The statistics on road traffic accidents illustrate the extent and the nature of all accidents involving casualties, who are known by the police. The information on road traffic accidents is classified into three main groups: information about the accident, information about the element (vehicles, pedestrians and obstacles) and information about the person., Read more about statistical presentation, Statistical processing, Annual extract from the Road Directorate, Road Accident Information System with information for all accidents with injured., The data is checked for errors. Only few corrections is made. No seasonally adjustment is made., Read more about statistical processing, Relevance, National users: Ministries (primarily the Ministry of Traffic), the police districts, the highway authorities in counties and municipalities, organizations, research centers, the education system and private persons., Eurostat: The register is made anonymous and sent to Eurostat, as input for the Community Database on Accidents on the Roads in Europe (CARE)., Area of application: Local and central planning aimed at reducing road traffic accidents, education, research and public debate., Read more about relevance, Accuracy and reliability, A general problem concerning the road traffic accident statistics is that they do not include accidents involving casualties, which are not reported to the police. The severity of the accident and the mode of transport are factors, which influence whether the police are involved. Examinations - pooling with the Register of Causes of Death and with registries of casualty award visits and hospital admissions caused by road traffic accidents - have proven that almost all accidents involving deaths are reported. Accidents involving serious personal injury are more frequently reported than accidents involving only slight injuries. Furthermore, accidents involving cars are more frequently reported than accidents involving bicycles and mopeds. In average only 20 per cent of the casualties come to the knowledge of the police. Results of the pooling with registries of casualty award visits can be found in the table MOERKE in , Statbank, ., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date - ult. June after the year after., Read more about timeliness and punctuality, Comparability, These include changes in the registration of road traffic accidents resulting in inconsistencies of data as well as the introduction of new variables. Since 1958, accidents involving only damage to property have been omitted from the statistics. In January 1967, the definition of road traffic accident involving casualties was changed to include only accidents involving at least one vehicle. This leaves out accidents involving only pedestrians. From January 1967, the classification of accidents according to main and secondary causes was changed to a classification according to the accident situation, based on an objective evaluation of the course of events leading up to the accident. In January 1981, the definition of slightly injured was changed. Minor bruises, scrapes and the like are no longer considered as slight injuries. In January 1983, the structure and contents of the statistical system were changed. New parameters - e.g., cycle paths, collision point, maneuver concerning the element record, and on driving license and moped license - were introduced. From January 1997, individuals who are admitted to hospital for observation due to concussion should be registered as slightly injured in cases where the diagnosis does not turn out to be concussion of the brain., Legal changes, such as the introduction of and changes to speed limits and limits for level of alcohol in the blood, and requirements concerning the use of seat belts, helmets, child seats, lights, etc., can influence the overall development in the road traffic accident statistics., Read more about comparability, Accessibility and clarity, Statistics appear in:, News from Statistics Denmark., Annual publications: , Statistical Yearbook, Statistical 10-Year Review, and , Færdselsuheld, (Road Traffic Accidents)., Statbank, .Transport, Traffic accidents: UHELD1, UHELDK1, UHELD2, UHELDK2, UHELD3, UHELD4, UHELD5, UHELD6, UHELD7, UHELDK7, UHELD8, UHELD9, UHELD10, UHELD11, UHELD12, UHELD13, MOERKE., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-traffic-accidents

Documentation of statistics

Documentation of statistics: Net Price Index

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Net Price Index 2025 , Previous versions, Net Price Index 2024, Net Price Index 2023, Net Price Index 2022, Net Price Index 2021, Net Price Index 2020, Net Price Index 2019, Net Price Index 2018, Net Price Index 2017, Net Price Index 2016, Net Price Index 2015, Net Price Index 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Weightings 2025 (xlsx), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Klassifikationskoder og beskrivelser (pdf), The purpose of the net price index is to measure the development of the prices, less indirect taxes and duties and including price subsidies, charged to consumers for goods and services bought by private households in Denmark. The index of net retail prices has been calculated since 1980, but there are estimated figures for the development in net prices back to February 1975. The weights were last adjusted in connection with calculating the index for January 2014 and are based on private consumption expenditure in 2012., Statistical presentation, The index of net retail prices shows the development of prices, minus indirect taxes plus subsidies, for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs (minus indirect taxes plus general subsidies) of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The index of net retail prices can best be characterized as a fixed weight index of a Laspeyres-type. The prices that are included in the index of net retail prices are not the prices paid by the consumers, but the purchase prices after deduction of indirect taxes and addition of subsidies (to the extent possible). The only exception to this is rent payments where the total rent, i.e. the share of rent payments, is included. The weights are calculated on the basis of data from the national accounts on final consumption expenditure of households in Denmark, distributed among 70 commodity groups. For each of these, a further division is made by using the detailed information on consumption expenditure from the Household Budget Survey., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19. , Read more about statistical presentation, Statistical processing, The index of net retail prices is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the index of net retail prices, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total index of net retail prices. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the index of net retail prices in connection with changes in the sample. The index of net retail prices is not seasonally adjusted., Read more about statistical processing, Relevance, The index of net retail prices is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the index of net retail prices as the sample is not randomly drawn, but the quality of the index of net retail prices is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the net price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The index of net retail prices is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The index of net retail prices is related to the European Union harmonized index of consumer prices (HICP)., The European Union harmonized index of consumer prices (HICP) is based on actual consumer prices, whereas the index of net retail prices is based on the purchase prices after deduction of indirect taxes and VAT and addition of subsidies (to the extent possible)., From January 2001, the only difference between the national index of net retail prices and the HICP is apart from the price concept the coverage of goods and services, as owner-occupied dwellings is only recorded in the index of net retail prices and not in the HICP. , The index of net retail prices is also related to the consumer price index. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Net Price Index, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/net-price-index

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

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),   Q3/25,   675,   2.2, Household consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q3/25,   275,   0.3, NPISH consumption expenditure, real growth , (DKK billion, 2020-price level chain figures),   Q3/25,   9,   1.1, Government consumption, real growth , (DKK billion, 2020-price level chain figures),   Q3/25,   149,   1.0, Gross capital formation, real growth , (DKK million, 2020-price level chain figures),   Q3/25,   144,573,   -0.5, Imports of goods and services, real growth, (DKK billion, 2020-price level chain figures),   Q3/25,   357,   -0.1, Exports of goods and services, real growth , (DKK billion, 2020-price level chain figures),   Q3/25,   449,   3.6, Employment. National accounts , (persons),   Q3/25,   3,260,103,   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),   Dec/25,   15,613,   -1.7, Consumer confidence indicator,   Jan/26,   -13.4,   .., 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),   Nov/25,   297,797,   0.3, Industrial production index (2021=100),   Dec/25,   126.4,   -1.0,  ,  , t/(t-12),  , New registration of van and lorries (number) , 1),   Dec/25,   2,944,   6.7, Bankruptcies (number),   Jan/26,   479,   -5.3, Tendency Surveys,  ,  ,  , Sentiment indicators for construction , 1),   Jan/26,   101.7,   .., Sentiment indicators for industry , 1),   Jan/26,   93.1,   .., Sentiment indicators for service sector , 1),   Jan/26,   104.8,   .., Sentiment indicators for retail trade , 1),   Jan/26,   107.2,   .., 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,   105.6,   1.1, 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),   Nov/25,   77,107.4,   -2.6, Export of goods (DKK million) , 1),   Nov/25,   84,746.8,   -0.1, Import of services (DKK milllion),   Q3/25,   214,449.8,   1.8, Export of services (DKK milllion),   Q3/25,   220,157.7,   5.6, Balance of payments, surplus (DKK million) , 3),   Nov/25,   33,554.5,   1,789.8, Prices,  ,  , t/(t-12),  , Consumer price index (2025=100),   Dec/25,   100.1,   1.9, Price index for Domestic Supply (2021=100),   Dec/25,   115.2,   -2.3, Price index for domestic supply (2021=100) - Mineral fuels, mineraloil and distilery products thereof,   Dec/25,   101.3,   -20.1, Producer price index for commodity (2021=100),   Dec/25,   144.5,   -0.4, Import price index for commodity (2021=100),   Dec/25,   115.5,   -2.8, 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),   Dec/25,   ..,   .., Long interest rate, 10-years central government bond (pct. p.a.) , 2),   Dec/25,   ..,   .., 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

Contact: IT, Digitalization and Data Security

Section/Title, Name, Phone, Mail, Head of Section, Head of Section, Josefine Gløerfeldt Kjæmpe , +45 20 55 83 51, jgk@dst.dk, Head of Section, Head of Section, Mikkel Baand Rasmussen , +45 21 59 30 22, mbu@dst.dk, System Analyst, System Analyst, Michael Pedersen , +45 41 19 10 51, mip@dst.dk, System Analyst, System Analyst, Flemming Fogh Simbold , +45 24 49 35 23, ffs@dst.dk, IT management, Head of Division, Head of Division, Peter Filtenborg Madsen , +45 20 35 30 16, pfm@dst.dk, Deputy Head of Division, Deputy Head of Division, Bo Guldager Clausen , +45 28 14 38 15, bgc@dst.dk, Executive chief consultant, Executive chief consultant, Frank Holdt , +45 27 51 18 31, fah@dst.dk, Architecture, Karsten Bjergkvist , +45 22 87 18 71, kbk@dst.dk, Head of Section, Head of Section, Nanna Laksø , +45 20 55 73 12, nlk@dst.dk, Collection, Senior Adviser, Senior Adviser, Henning Tornhøj Christensen , +45 20 43 95 31, hng@dst.dk, Senior Adviser, Senior Adviser, Knud Wharton Hammerich , +45 21 53 80 35, knh@dst.dk, System Analyst, System Analyst, Jens Erik Hagedorn , +45 23 11 83 75, jhg@dst.dk, System Analyst, System Analyst, Marcel Kristensen , +45 21 62 56 19, mrc@dst.dk, System Analyst, System Analyst, Leif Bochis Madsen , +45 24 81 67 05, lbm@dst.dk, System Analyst, System Analyst, John Hertz Nielsen , +45 20 41 49 05, jni@dst.dk, System Analyst, System Analyst, Thomas Bo Nielsen , +45 21 19 46 39, tbn@dst.dk, Communication, Chief Adviser, Chief Adviser, Stefan Jul Gunnersen , +45 21 45 47 04, sjg@dst.dk, Senior Adviser, Senior Adviser, Simon Christiansen , +45 21 59 36 68, sbc@dst.dk, Senior Adviser, Senior Adviser, Flemming Dannevang , +45 40 40 56 06, fda@dst.dk, Senior Adviser, Senior Adviser, Dorthe Helstrup Poulsen , +45 40 23 52 29, dop@dst.dk, System Analyst, System Analyst, Kim Duncan-Bendix , +45 29 36 59 72, kdb@dst.dk, System Analyst, System Analyst, Jakob Traun Jørgensen , +45 30 46 33 15, jtj@dst.dk, Finance and Projects, Chief Adviser, Chief Adviser, Peter Sandager , +45 20 61 49 14, pms@dst.dk, Senior Adviser, Senior Adviser, Annemarie Schriver , +45 40 18 43 54, rie@dst.dk, Processing and Analysis, Senior Adviser, Senior Adviser, Astrid Neumann , +45 30 62 40 24, neu@dst.dk, Head of Section, Head of Section, Albert Elias Öhrman Wellendorf , +45 21 19 78 33, awd@dst.dk, Head of Section, Head of Section, Michael Wiingaard , +45 23 43 70 76, miw@dst.dk, Systems Consultant, Systems Consultant, Hans Henrik Andersen , +45 53 57 08 03, has@dst.dk, Senior Systems Analyst, Senior Systems Analyst, Mike Elkjær Barbré , +45 23 27 75 59, meb@dst.dk, Senior Systems Analyst, Senior Systems Analyst, Allan Bo Jørgensen , +45 51 71 57 35, alj@dst.dk, Senior Systems Analyst, Senior Systems Analyst, Michael Nielsen , +45 29 60 36 27, min@dst.dk, Senior Systems Analyst, Senior Systems Analyst, Allan Henrik Rasmussen , +45 21 19 55 69, ahr@dst.dk, System Analyst, System Analyst, Catharina Agger , +45 91 37 64 11, cag@dst.dk, System Analyst, System Analyst, Leif Aller , +45 23 47 09 10, lal@dst.dk, System Analyst, System Analyst, Jens Schouv Andersen , +45 40 10 80 75, jea@dst.dk, System Analyst, System Analyst, Christian Flies Bendtsen , +45 51 48 61 49, chb@dst.dk, System Analyst, System Analyst, Jesper Skibber Hansen , +45 23 27 36 39, jsh@dst.dk, System Analyst, System Analyst, Jan Ole Nørregård Sørensen , +45 23 64 18 01, jos@dst.dk, System Analyst, System Analyst, Lise Tanghus , +45 21 72 75 68, lta@dst.dk, Security, Chief Adviser, Chief Adviser, Sanne Vestergaard Nielsen , +45 24 63 22 60, svn@dst.dk, Service Desk, Chief Adviser, Chief Adviser, Niels Jespersen , +45 42 42 93 73, njn@dst.dk, Chief Adviser, Chief Adviser, Kasper Monrad , +45 23 81 99 53, onr@dst.dk, Systems Consultant, Systems Consultant, Carsten Frank Jørgensen , +45 29 36 13 59, cfj@dst.dk, Systems Consultant, Systems Consultant, Henrik Philip Jørgensen , +45 28 14 38 17, hph@dst.dk, Systems Consultant, Systems Consultant, Lars Roediger , +45 53 27 11 10, lro@dst.dk, Bachelor, Bachelor, Jesper Korsgaard Jensen , +45 40 22 75 65, jpr@dst.dk, Clerk, Clerk, Pia Isaksen , +45 23 80 01 67, pii@dst.dk, EDP Consultant, EDP Consultant, Jan Vibe , +45 30 69 52 15, jvi@dst.dk, Senior Systems Analyst, Senior Systems Analyst, Mette Lisberg , +45 41 17 90 60, mli@dst.dk, System Analyst, System Analyst, Patrick Søbjerg Andersen , +45 21 17 64 51, psm@dst.dk, System Analyst, System Analyst, Marianne Blom , +45 24 67 74 68, mbt@dst.dk, System Analyst, System Analyst, Lars Dohn , +45 28 83 49 52, ldo@dst.dk, System Analyst, System Analyst, Betina Hansen , +45 30 54 75 53, bti@dst.dk, System Analyst, System Analyst, Henrik Kjær , +45 21 24 02 90, hkj@dst.dk, System Analyst, System Analyst, Kristian Kassø Meier , +45 21 18 24 11, kmi@dst.dk, System Analyst, System Analyst, Mark Rørvig , +45 24 61 61 54, mro@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=09&tlfbogsort=sektion

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

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

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