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    Do we, as a society, benefit enough from our data?

    For 40 years, Statistics Denmark has made data available to society in a secure way. The return is high and diverse when data is used for research, analysis and as the backdrop to important decisions in society. But should we – as a society – be satisfied with the present opportunities when the benefits could be even greater?, 9 June 2023 8:00 ,  , Today, it is registered when you see a doctor and buy medicine at the pharmacy. It is reported when you get paid, who pays it and which car you drive. You are part of the statistics when you go to the cinema and when you play badminton in your spare time. Data is also collected when you rent a holiday home, when you shop online, and when you use electricity, water and heating., Data is playing an ever greater role in all respects, and data is generated and collected in constantly new fields. The digitisation from end to end of all sorts of things generate data about all Danes every day – as citizens, as users (of public service), as businesses and as customers., The chief question in a data-driven world is then what is going to happen with all the data that is generated?  Who should be able to access it, for what, and how should the access to data be granted now and in the future?, A key element of democracy, Perhaps you worry what the vast amount of data can be used for.  That’s understandable. Therefore, it is important that your data and society’s data is treated with the necessary confidentiality in a secure environment that does not allow the individual citizen or business to be identified. Safeguarding this is one of our core competences., Statistics Denmark is a child of democracy and was established as an independent statistical agency in 1850 – the year after Denmark’s democratic constitution was passed. Then as now, reliable official statistics are a key element of a democratic Denmark. Statistics Denmark complies with the common European rules on, e.g., professional independence, impartiality, confidentiality, reliability and accessibility. As a citizen, you can rest assured that data about you will not fall into the wrong hands, once it is behind our safety barriers., Over the past 40 years, we have made public data available to Danish society – especially for research and analysis, so that the immense knowledge that lies in data can benefit society. We have access to all public registers thus ensuring that there is public and democratic access through us to the information that public authorities collect as part of our welfare society., Denmark’s Data Portal, Statistics Denmark has a dual responsibility, which we take very seriously. On the one hand, we are obliged to take good care of data – on the other hand, we have a duty to share it, so that it may create value. We have come up with good solutions to this dilemma., In 2022, we took the first step towards what we call Denmark’s Data Portal. The portal will make it even easier for researchers and analysts to use our data, and in the future, it will be possible to provide access to more data than that which is part of our current statistical production. Obviously, in a way that maintains data confidentiality., The benefit to society is manifold: Stronger research, better policy development, evidence-based practices, greater knowledge and better decision-making at all levels of society. The more data we include, the greater the potential benefit to society., More data on society should benefit the community, There is also an increasing amount of privately held data. Data created by private businesses as part of their efforts to service and understand their users and customers even better. The businesses register when products are scanned at the supermarket, and the banks know where and when we use our credit cards. It is also registered when we use our travel cards or drive through the tollbooth at the Great Belt Bridge or the Oresund Bridge. And much, much more. All of it data that can also be used – if handled securely – for statistics and analysis to the benefit of all of us, and not just to the advantage of the businesses and organisations collecting it., Shortly before the pandemic, Statistics Denmark was granted access to electricity meter data from Energinet, which is an independent public company running Denmark’s energy infrastructure. Access to this data enabled us to conclude, for instance, that there were no signs of any significant decline in the level of activity in Danish industry in spite of the pandemic. An important and reassuring piece of information that we would not have been able to provide that quickly without the electricity meter data. And a very good example of how Statistics Denmark’s access to data from private suppliers benefits society and our common knowledge., We believe that all kinds of data created in Danish society about Danish society and citizens of Danish society should benefit society – and we are happy to be of service in that context., Common access, In international statistical circles, there is currently talk of the need to establish national data stewards. It is necessary to ensure common access to using society’s data – both public and private – for the common good. This is a role that Statistics Denmark has held and developed over many years when it comes to data from the public sector. At the moment, we are developing this role further with Denmark’s Data Portal., However, there is huge potential for creating further value for society, a value that will grow as the Data Portal gradually includes more data. Not just data from the public sector, but also data created in the private sector that can safely be made available to society based on the virtues and obligations that rest with us as the official national statistical authority., Our imagination is the only limit to the potential gain to society.

    https://www.dst.dk/en/presse/rigsstat-klumme/2023/2023-06-09-faar-vi-som-samfund-nok-ud-af-vores-data

    About the DDP App

    DDP App is an application that provides easy, efficient and secure access to Danish data for research, analysis and management. , Danish data is of great significance to the development of Danish society. For that reason, Statistics Denmark has established a data portal, which provides researchers, analysts and Danish businesses with an enhanced view of the Danish underlying data basis while making the whole process from application to data smoother. In other words, the solution offers , one user interface, one point of access and one secure solution to meet all data requirements for statistics, research, management and analysis., In collaboration with other data owners, the DDP App builds on the services that already exist in Statistics Denmark, and new functionality and services are added continuously to meet user needs., A collaborative solution, The DDP App is conceived as a collaborative cross-disciplinary national solution for the benefit of research establishments, private businesses and public authorities – completely in line with the intentions behind Denmark’s national public digitisation strategy., Users get a complete view of all registers as well as support in finding the data best suited for their purpose. Moreover, the solution provides quick user access, once the requirements to data security and data confidentiality are met, and with the possibility to get advice and support in the process. Finally, case processing and approval of project applications take place as part of an automated process, thus ensuring progress for the project and transparency for the users., Data security, In the DDP App, the focus data security and information security is massive. Data is built in a special system, which is based on processes of high security, safe management and secure procedures.,  , Administrative procedures and guidelines, In Statistics Denmark, we comply with the non-discrimination requirements of the Danish Public Administration Act. This means that all rules and security requirements apply to all users and all collaborative partners. In other words, nobody gets easier terms or has to meet a lower level of security than others do., Statistics Denmark's procedures complies with current legislation with respect to GDPR, which is tested via external revision and the ISO 27001 standard, which is the security standard for government authorities. The security is tested annually as a result of Statistics Denmark's ISO 27001 certification., Statistics Denmark has prepared a set of guidelines for use of researcher machines, which applies for all research and analysis projects carried out within the framework of the DDP App and Denmark’s Data Portal. In the guidelines, you find for example the requirement that work must be carried out on pseudonymised data, and that Statistics Denmark's methods for statistical disclosure control must be applied. Other examples are the principles of data mining as well as requirements for a clearly defined emergency response and decision guidance documents in connection with the handling of data breach and security incidents. , Read more under Rules on transfer of analysis results, Secure application, In the DDP App, a two-factor login is always used for both the application and the researcher machine, and there are requirements to the security in net traffic and requirements for secure network protocols, as per the Danish Centre for Cyber Security's requirements and recommendations., The application is thoroughly tested for external penetration - see further under `Certification and external control' below., Secure data processing and secure workflows, Agreements exist between Statistics Denmark and all research and analysis institutions in Denmark. The agreements focus on issues such as clarity of roles and responsibilities and ensuring that the employees of the research and analysis institutions handle the administration of the individual institution in the most appropriate way. This is sustained through regular contact with user committees, release of awareness campaigns and user surveys., In the DDP App, researchers and analysts are certified in a special module focusing on compliance with the data processing and data security rules. This means that each user regularly must go through a number of questions regarding data processing and GDPR to maintain their access to the DDP App and Denmark's Data Portal., The workflows for researchers as well as analysts and administrative employees in Statistics Denmark are reviewed annually by the internal supervision and assessed by IT architects, IT managers ad information security coordinators for the purpose of ensuring that there are no loopholes or overlooked ways of cheating, gaining unintentional access or abusing user roles. The detailed authorisation system in the DDP App has been reviewed specifically for the purpose of verifying that a multi-person system has been set up for approval and update, which ensures that individual persons cannot exploit or abuse the system., We carry out systematic system control to ensure that research results for transfer do not contain personal data or individual data (microdata), and we perform randomised sampling and management-initiated samples based on risk assessments., Certification and external control, Security is continuously monitored both through Statistics Denmark's internal supervision and external inspections and audits. Statistics Denmark maintains regular contact with independent external experts who assess, test, and stress test the security of the systems, source code and workflows. The security of our pseudonymisation algorithm has been verified through an external review from the cyber security department, and an executive summary of this can be provided upon request to relevant stakeholders. Likewise, external experts have verified the so-called transfer control., External audit:, Denmark’s Data Portal annually obtains an external audit statement of the ISAE 3000 type, which can be provided to relevant stakeholders. The audit statement, which is accompanied by a corresponding ISAE 3000 statement for the general IT environment and IT workflows, describes a range of security-related control areas, including technical security measures, storage and processing of personal data, and more., ISO 27001 certification:, Statistics Denmark undergoes an annual process to maintain the achieved ISO certification ISO/IEC 27001:2013. The audit process is conducted by the international and independent certification company DNV-GL. The scope, i.e. the area that has been checked and ISO 27001 certified, is 'IT and business processes in the statistics production', including data collection, in accordance with Statement of Applicability"., Penetration tests:, Statistics Denmark has a number of penetration tests carried out each year, where external experts attempt to find vulnerabilities in the technical shell security of systems and access points. This leads to continuous focus on updating to the latest versions of web-facing technologies and security in the firewall. Daily monitoring is in place for external penetration attempts, and there is ongoing surveillance of network traffic in the firewall and associated systems.

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

    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

    Rules for working with microdata

    Gain an overview of the most important rules and guidelines users of the microdata schemes must observe when working with microdata on Statistics Denmark’s researcher machines. Note: Non-compliance may involve sanctions.,  , Where can you access microdata on Statistics Denmark’s researcher machines? , Working with microdata under the microdata schemes in your workplace (the authorised institution) and via your home workplace is allowed. It is important that unauthorised persons do not get access to or a view of your work on the researcher machines. By “unauthorised”, we mean, for example:, Employees and colleagues who are not associated with the project you are working on, Business partners who are not associated with the project you are working on, Family, Friends, Other people, such as workmen in your home, This means that you are not allowed to work on Statistics Denmark’s researcher machines in public spaces, such as trains, buses, libraries, your local coffee shop or on public networks in general. Furthermore, you must always log out of Statistics Denmark’s researcher machine if you leave your screen temporarily, regardless whether it is just briefly or for a longer time. Consequently, it is not enough to switch to a screen saver – the access to the researcher machines must be cut off completely., Co-operation and sparring – what is allowed?, You are allowed to show your screen to persons who have approved access to the data that you are working with. If you need help or guidance, you must therefore first ensure that the person in question has access to the same project as you. Pay attention to the following:, Never leave your screen to anyone while they are helping or guiding you., If you want to share files, you must indicate the file path, so that the person can access the files via his or her own user access., If you want to spar with a person or for example, your contact person in Denmark’s Data Portal via email, and you need to provide examples, you must never include actual data or information from Statistics Denmark’s researcher machines. Always use fictitious figures and examples., Working with microdata – what is not allowed? , Below is a list of actions that are not allowed: , Note, : The list is not exhaustive:, You may not attempt to identify statistical units, such as households, businesses or individuals – yourself included – in the data that you get access to under the microdata schemes., You are not allowed to share your user access to Statistics Denmark’s researcher machines with anyone, and the passwords you are given, are personal and may never be disclosed. If you suspect that anyone knows your password, you must change it immediately., You may not let unauthorised persons get access to or view of your work on Statistics Denmark’s researcher machines. This rule applies, whether you do so deliberately or fail to pay attention. “Unauthorised person” means anyone not associated with the project you are working on. , You are not allowed to transfer data from the researcher machine to your own computer, to paper, email or any other medium or means, for example between Statistics Denmark’s researcher machines and the user interface in DDP App. It is thus strictly forbidden to copy, transcribe or illustrate information from Statistics Denmark’s researcher machines – regardless of purpose., You may not take photos of Statistics Denmark’s researcher machines. This ban applies to all types of images, including screendumps and snapshots or photos taken with your mobile phone, iPad or any other electronic devices., You are not allowed to send information from Statistics Denmark’s researcher machines via email to colleagues, neither business partners nor Denmark’s Data Portal. If you are to describe your data set or a problem, you must always use fictitious examples. Actual data or information must never be part of it.,  , Are you in doubt about the rules? This is how you get answers, If you are in doubt or have questions about Statistics Denmark’s rules for working with microdata on the researcher machines, you can ask for help from the person responsible for authorisation in your institution. In case of questions about a specific project, you must make sure that the person whom you ask for guidance, has access to the same project as you, before you show your screen to that person., In case of questions of a more general nature, you can also contact Denmark’s Data Portal at , FSEHjemtag@dst.dk, . In your request, you must indicate your ident and, if relevant, your project number. , Note, : If you want to describe a data set or what you suspect could be microdata, you must never include actual data or information. Always use fictitious figures and examples., Breach of the rules? This is how you handle it, If you fail to comply with Statistics Denmark’s rules or you suspect that you have failed to do so, you have a duty of notification. If you comply with your duty of notification, this will be regarded as a mitigating circumstance., Please notify both the person responsible for authorisation in your institution and Denmark’s Data Portal. You notify Denmark’s Data Portal by sending an email to , FSEHjemtag@dst.dk, with the following: , Your ident , 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 mailbox 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. ,  , Data security and transfer – your responsibility, As a user of Statistics Denmark’s researcher machines, it is your responsibility to familiarise yourself with Statistics Denmark’s rules and to observe them. Accordingly:, You are responsible for your work on the researcher machines being in compliance with Statistics Denmark’s data security rules, and , You are responsible that any transfer of analysis results and other materials complies with Statistics Denmark’s transfer rules. Read more under Rules on transfer of analysis results, and, You are responsible for notifying Denmark’s Data Portal immediately, if you suspect that you or someone else has breached Statistics Denmark’s data security and transfer rules  , Non-compliance may involve sanctions. , Read more under Sanction rules, 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/regler-for-arbejdet-med-mikrodata

    User roles

    The relevant employees in a research project must be created as users in DDP App. You have different options when using DDP App, depending on which user role your institution assigned to you. Below you can read which rights the different roles have. In DDP App, you can see your role under ‘My overview’ next to your institution. If a specific role has not been indicated, you are a ‘User’., There are seven different roles in DDP App:, Responsible for authorisation, Substitute, Administrator, Contact person with powers, Signatory, Contact person, User, Below you can read which rights the different roles have. You can also read more about how the roles are assigned.,  , What can the different roles do? , Responsible for authorisation, This role is responsible for the institution’s authorisation under microdata schemes with Statistics Denmark and approves association agreements under the authorisation. The person responsible for authorisation is legally responsible for the users associated with the institution complying with the current guidelines for use of data. This person is the only one who can assign the roles as substitute, administrator and signatory. See how under ’How to assign roles?’ below., Substitute, A user who can approve association agreements on behalf of the person responsible for authorisation. It is highly recommended that you appoint one or more substitutes. In the dropdown menu ‘Assigning roles’ below, you can read how to select substitutes in DDP App. Note that the person responsible for authorisation cannot be his/her own substitute., Administrator, It is the institution administrator who must approve and submit all of the institution’s project proposals to Statistics Denmark via DDP App. The administrator works as an internal approver, whenever a project proposal is to be submitted or resubmitted. The administrator is thus charged with quality assuring the content of the project proposals from the institution, making sure that the proposals meet requirements to form and GDPR. This means that an administrator should be available and is expected to be a regular user of DDP App., The administrator must contact Denmark's Data Portal if the institution wishes to have a new user created. An institution must have at least one administrator, and we recommended that you appoint at least two administrators. This is because some tasks in DDP App can only be carried out by an administrator, and because a given administrator is not allowed to administer him- or herself. It is possible to appoint up to 10 administrators in one institution., Contact person with power, An institution can choose that a contact person can have powers corresponding to those of an administrator on the projects for which the user is a contact person. If a contact person has powers, the role is delimited to the institutions that the user is associated with. If you - as the person responsible for authorisation - want this solution for a user, you must contact Denmark's Data Portal., Signatory, On behalf of the institution, persons with the signatory role can sign to pledge that a project proposal is conforming to Article 6 of the General Data Protection Regulation. , When your project proposal has been approved, an employee in Denmark's Data Portal will sign it. After that, the person who submitted the proposal, i.e. the contact person for the project, the administrator or the contact person with powers, as well as the chosen signatory will receive an email with information indicating that the project proposal has been approved and signed. Subsequently, you need to sign the project proposal. Only users who have been assigned the role of signatory can sign project proposals., The role as signatory is assigned by the person responsible for authorisation or a substitute. Remember that it is a requirement that people with a signatory role are formally employed by the institution where they have the signatory role. There is no limit on the number of signatories. , Contact person, A user with access to a project has the role as contact person for the project. The contact person has the dialogue with Denmark's Data Portal regarding the project proposal. A project can only have one contact person. Administrator can change the project contact person., User, This is the basic role for users. The role gives access to information on the entities with which the user is associated, and the user can edit his or her own information. When a user is associated with a project in DDP App, he or she also gets access to the project data on the researcher machine. Contact an administrator or the person responsible for authorisation, if you want to be created as a user under an authorised institution., Project owner at Statistics Denmark, When you submit a project to us, we will assign a project owner in Denmark's Data Portal to you with whom you will have direct contact. We do our best to answer your enquiry as soon as possible. , See the average response times under Contact Denmark's Data Portal, Who can edit user information in DDP App?, The individual user can update his or her own user information in DDP App. This could be relevant, e.g. if a user changes workplace and therefore wants to update his or her email address., If an association agreement must be terminated, this must either be done by the user him- or herself, the institution administrator, the person responsible for authorisation or a substitute hereof. In our , video guides, , you can see the respective tasks and responsibilities of a user, an administrator and a person responsible for authorisation in DDP App. , How to assign roles, The person responsible for authorisation at the institution is the only one who can assign the roles as substitute, administrator and signatory., To do so, you must as the person responsible for authorisation log into DDP App and select ‘My overview’. Click the institution where you are responsible for authorisation, and then click the three dots to the right of the institution name. If you want to assign/discontinue the role as administrator, you must click ‘Administration of administrators’. If you want to assign/discontinue the role as substitute, you must click ‘Administration of substitutes’, etc. Now a list appears of all users associated with the institution. Click ’Select’ next to the user you want to make either a substitute, an administrator or a signatory., The administrators of the institution can create new association agreements for the institution and attach users to projects., See table of the rights of user roles in DDP App (pdf, in Danish)

    https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/brugerroller

    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

    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

    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