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    Documentation of statistics: Persons below the state pension age on public benefits

    Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Persons below the state pension age on public benefits 2025 , Previous versions, Persons below the state pension age on public benefits 2024, Persons below the state pension age on public benefits 2022, Persons below the state pension age on public benefits 2020, Persons below the state pension age on public benefits 2019, People Receiving Public Benefits (16-64-years-old) 2018, People Receiving Public Benefits (16-64-years-old) 2017, People Receiving Public Benefits (16-64-years-old) 2015, People Receiving Public Benefits (16-64-years-old) 2014, The purpose of the statistics is to show trends in average/full-time participation in labour market policy measures. Based on a report prepared by the activation statistics committee (report no. 1259) the first statistics were compiled as from the first quarter of 1994. The reason for setting up the committee was that the Danish statistics at that time were unable to provide reliable data on the wide variety of municipal activation schemes. The committee's work was performed over the period December 1992 to October 1993. Since 1994 new measures have been introduced and others have ceased. As from the third quarter of 1999 the number of persons working in flex- and sheltered jobs are published concurrently with the labour market policy measures. Persons participating in activation according to the job integration act were included from the first quarter of 2000. As from the third quarter of 2003, and with effect in the publications as from the first quarter of 2004, a number of changes to the codes/names were undertaken due to a political reform that meant the introduction of new activation schemes, whereas other schemes ceased to exist. From 2007 the statistics is extended with persons on early retirement pay, sickness benefit, maternity leave and from 2008 it is extended furthermore with young people in ordinary education ('SU-modtagere')., Statistical presentation, The statistics provide data on trends in the average number of participants (beneath their state pension age) with public benefits, analyzed by labour market policy measure. The activities take place within the following main groups: Unemployed, persons in supported employment, leave, education/training, other activation, integration allowance, sickness benefit and different kinds of early retirement pay. The figure on average number of participants (full-time participants), is a volume measurement. The figures is comparable with the average number of full-time unemployed in the unemployment statistics., From June 2022 the statistics is extended to include persons receiving 'Early Pension", 'Senior Pension' and 'Adult apprenticeship support'. From March 2025 and again from September 2025 the statistics on sickness benefit recipients is changed., Read more about statistical presentation, Statistical processing, All data necessary for the statistics is collected from administrative registers. The data is collected through SAS-files and FTP-servers. When the data files are collected we make a preliminary validation of each file. Afterwards the data is loaded in the database (PSD) on a uniform format. After that illegal overlapping time periods where the same person is receiving different conflicting public benefits are eliminated before the total data amount is transmitted into a 'production database' from where the statistics is published., Read more about statistical processing, Relevance, 'Users': Municipalities, regions, ministries, organizations and the media. 'Fields of application': Public labour market surveillance. There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, media, has always been considerable, and the statistics is expected to be an important part of the future 'Labour market account' (AMR), which is going to be released in the spring 2015., Read more about relevance, Accuracy and reliability, All data necessary for the statistics is collected from administrative registers. The statistics cover the population aged 16-64 who is receiving some sort of public benefits. Conflicting and erroneous information about each individual person may frequently occur as the statistics are compiled from a variety of administrative registers. Examples are a person who is regarded as both a recipient of cash benefits and as a person entitled to claim unemployment benefits, or a person participating in several activation schemes at the same time, which exceed 37 hours per week, or a person participating in the same activation over an unrealistic long period of time. The main reason for these errors is that the respondents fail to update the existing data as soon as new data is available. Error correction is some times undertaken by Statistics Denmark on the basis of logical requirements and some times by the respondents themselves. However, the best possible solution is for error correction to be undertaken by the respondents themselves. The municipalities report data on persons entitled to claim cash benefits and similar allowances in various ways. Currently there is no estimates/numbers available on the total statistical errors., Read more about accuracy and reliability, Timeliness and punctuality, 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 release dates are advertised a year ahead., Read more about timeliness and punctuality, Comparability, The current statistics on persons receiving public benefits covers in general the time period from the 1. of January 2007 and onwards. Persons receiving ordinary education (SU-modtagere) is only included from the 1. of January 2008 and onwards. From 2006 to 2007 there are some differences in the covering and in the concepts. However, some time series in the stat bank starts back in the first quarter of 1994. The general comparability is reduced by the many changes in the measures over time. When the statistics is based on a number of national administrative registers it is obviously very difficult to make any international comparisons. However, Eurostat has tried to make some international comparisons in the area of participants/expenditures on some sorts of public benefits through their Labour Market Policy (LMP)-database., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Persons below the state pension age on public benefits, . For more information please see the subject page for , Persons receiving public benefits, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/persons-below-the-state-pension-age-on-public-benefits

    Documentation of statistics

    Revision and error policy

    When a set of statistics is , revised, , an already published value or a figure is changed. This may happen e.g. because new and more reliable source data has become available, because of changes in methods, classifications and definitions or because of error corrections. Revisions are usually planned, and the users are notified in advance., Published statistics and other material must be quality assured when published, but , errors , may occur in figures or related text. When an error is detected, the users are informed, and the error is corrected as soon as possible., Revisions, Revisions are made in accordance with the ESS guidelines on revision policy for PEEIs (Principal European Economic Indicators). This means that revisions comply with harmonised procedures and principles and that revision practices for the individual sets of statistics are put down in writing and disseminated to the users of the statistics., The users are notified in advance of scheduled revisions. This is done in the documentation of statistics and sometimes on Statistics Denmark’s website, e.g. in the scheduled releases., Most revisions occur on a regular basis. This happens when sources required for a set of statistics are not fully available to meet the need for flash estimates. In such cases, , preliminary, statistics may be prepared on the basis of part of the sources to ensure timeliness. When the planned sources are available, the , final, figures are prepared. Macro-economic statistics follow the Harmonised European Revision Policy for Macroeconomic Statistics (HERP), which indicates at what intervals and how soon after the end of the reference period revisions can be made. Revisions thus take place in the statistical systems of all countries., When a set of statistics is seasonally adjusted, it will automatically result in revision of previously released seasonally-adjusted figures when a new period is added. This also happens, even though there are no changes in the historical non-seasonally-adjusted figures. , Some statistics must be consistent with statistics produced outside Statistics Den-mark. In some cases, there may be interim revisions that do not have an end date, and thus do not exist in an actual final form. This is the case with statistics such as the Emission Accounts. , Major revisions, are especially prevalent in macro-economic statistics that follow binding international guidelines (so-called manuals) and are based on a number of different primary statistics; which is the case for national accounts, government finances, balance of payments and working time accounts. An important quality of these sets of statistics is that they are intercorrelated and they describe the economic trend over many years. Since efforts are also made to ensure consistency between primary statistics and macro-statistics, there may be cases where new sources and methods are only partly incorporated in the primary statistics, or where the most user-friendly solution is for any level changes to await a major revision to ensure coherence between primary statistics and macro-statistics. , Another reason for making a major revision is the fact that new international guide-lines and assessment rules have been introduced, which imply major changes. To en-sure coherence between the various statistical systems, major revisions in the national accounts, government finances, balance of payments and working time accounts are carried out in accordance with a common schedule, of which users and stakeholders are notified as soon as possible. , The major revisions are carried out years apart and also change what is referred to above as final figures. For macro-economic statistics e.g., major revisions must be carried out every five years according HERP. , Statistics Denmark is continuously improving the statistical production to give the best possible account of the situation in society. For that reason, changes may occur in classifications, data sources and methods, where a revision of the statistics is deemed necessary, even though it is beyond both the regular revisions and major revisions. However, the users will always be notified of these changes., In connection with revisions, it must be ensured that:, Period and scope of the basis for revisions are determined and coordinated with the remaining statistical production., It appears from the documentation of statistics that regular revisions take place, and it is described when the statistics will be released in revised and fi-nal form. It also appears from the documentation of statistics if seasonal adjustments are made., For statistics that are subject to regular revisions, it appears from the news series “Nyt fra Danmarks Statistik” (in Danish only) and other publications when preliminary figures are concerned. , Analyses are made of the revisions to continuously improve the calculations of the preliminary figures. E.g. the size of revisions is examined and whether they are in a particular direction., The scope and any causes of revisions are described in both the documentation of statistics and “Nyt fra Danmarks Statistik”., Revisions are discussed with the users on a regular basis., In case of an unscheduled revision, changes will be described in the related documentation of statistics, and users will be notified, when this is deemed necessary., For some sets of statistics, Statbank Denmark has version tables showing the step by step changes in released figures., Errors, Errors in the released statistics may be caused by errors in data deliveries from external sources or reporting from enterprises, but they may also be caused by errors in Statistics Denmark’s data processing or dissemination., In both cases, Statistics Denmark will correct the error as soon as possible. We examine which releases, data, statistics and periods that are affected, what caused the error, and how it can be corrected. Once the error has been corrected, the users whom we know have used the release will be notified as soon as possible. In a few cases, it may be necessary to give notice of the error before it is corrected., Error corrections in figures or text will be marked and described in the following way:, Nyt fra Danmarks Statistik:, Corrections are made in the latest version., The error will be described, and the correction will be inserted in red., A date will indicate when the correction was made., Subscribers to the news series will receive an email describing the error., Statbank Denmark tables:, Tables in Statbank Denmark can be closed temporarily, if this is deemed nec-essary., All periods affected will be corrected as soon as possible – preferably on the same day as the error is found., The error will be described in the table footnote., An email is sent giving notice of the error to users who have a user profile in Statbank Denmark., Subject pages:, When data have been corrected in Statbank Denmark, the relevant subject page will also be updated., Publications, Statistics Denmark analyses, news articles:, Only the digital version will be changed (publications)., Only the latest version will be changed (publications)., The error will be described, and the correction will be inserted in red., A date indicates when the correction was made., Subscribers to the news series will receive an email describing the error., Press releases:, If there are errors in a press release, an estimate will always be made of the scope and timeliness of the error as well as whether important principal conclusions are affected by it. If it is deemed necessary, a new notification will be distributed from which it appears that a correction is concerned. The corrected version will be published via Ritzau., Facebook and LinkedIn:, Posts on Facebook and LinkedIn will not be deleted, instead the text in the post will be changed (Facebook and LinkedIn)., From the beginning of the post or thread, it will appear that it has been changed, and the reason for the change will be described (Facebook and LinkedIn).,  

    https://www.dst.dk/en/OmDS/strategi-og-kvalitet/kvalitet-for-statistikproduktion/revisions-og-fejlpolitik

    Documentation of statistics: Labour Force Survey (LFS)

    Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , DFG@dst.dk , Get documentation of statistics as pdf, Labour Force Survey (LFS) 2025 Quarter 2 , Previous versions, Labour Force Survey (LFS) 2025 Quarter 1, Labour Force Survey (LFS) 2024 Quarter 4, Labour Force Survey (LFS) 2024 Quarter 3, Labour Force Survey (LFS) 2024 Quarter 2, Labour Force Survey (LFS) 2024 Quarter 1, Labour Force Survey (LFS) 2023 Quarter 4, Labour Force Survey (LFS) 2023 Quarter 3, Labour Force Survey (LFS) 2023 Quarter 2, Labour Force Survey (LFS) 2023 Quarter 1, Labour Force Survey (LFS) 2022 Quarter 4, Labour Force Survey (LFS) 2022 Quarter 3, Labour Force Survey (LFS) 2022 Quarter 2, Labour Force Survey (LFS) 2022 Quarter 1, Labour Force Survey (LFS) 2021 Quarter 4, Labour Force Survey 2021 Quarter 3, Labour Force Survey 2021 Quarter 2, Labour Force Survey 2021 Quarter 1, Labour Force Survey 2020 Quarter 4, Labour Force Survey 2020 Quarter 3, Labour Force Survey 2020 Quarter 2, Labour Force Survey 2020 Quarter 1, Labour Force Survey 2019 Quarter 4, Labour Force Survey 2019 Quarter 3, Labour Force Survey 2019 Quarter 2, Labour Force Survey 2019 Quarter 1, Labour Force Survey 2018 Quarter 4, Labour Force Survey 2018 Quarter 3, Labour Force Survey 2018 Quarter 2, Labour Force Survey 2018 Quarter 1, Labour Force Survey 2017 Quarter 4, Labour Force Survey 2017 Quarter 3, Labour Force Survey 2017 Quarter 2, Labour Force Survey 2017 Quarter 1, Labour Force Survey 2016 Quarter 4, Labour Force Survey 2016 Quarter 3, Labour Force Survey 2016 Quarter 2, Labour Force Survey 2016 Quarter 1, Labour Force Survey 2015 Quarter 4, Labour Force Survey 2015 Quarter 3, Labour Force Survey 2015 Quarter 2, Labour Force Survey 2015 Quarter 1, Labour Force Survey 2014 Quarter 4, Labour Force Survey 2014 Quarter 3, The purpose of the Labour Force Survey (LFS) is giving a description of the labour market status of the population. The LFS gives insight into how many people are employed, unemployed or outside the labour force (economically inactive). The LFS also manages to measure information like how many people are working part time; how many hours men in their 30s or 40s usually work; or how many elderly people outside the labour market would like to have a job. The LFS has been conducted yearly since 1984, and from 1994 the survey has been conducted continuously throughout the year., Statistical presentation, The Labor Force Survey is a quarterly sample-based interview survey on the Danish population between 15 and 89 years. The survey sheds light on how many are employed, unemployed (LFS unemployed) or outside the labor force. The survey provides detailed data on e.g. hours worked, conditions of employment, job search, education by regions, age and sex. Consequently the survey can, among other things, estimate the number of employed people who work at home regularly; how many self-employed people who work during weekends; or how many people have have a part-time job. , Read more about statistical presentation, Statistical processing, The Labour Force Survey is the most comprehensive continuous survey in Denmark based on approx. 72,000 participants on an annual basis. The interviews are conducted by online interview or telephone. The survey is based on a stratified sample of the population. In drawing the sample administrative resources are used to obtain various background information on the people interviewed. The sample is weighted to measure the entire population in Denmark., Read more about statistical processing, Relevance, The Danish Labour Force Survey (LFS) is the contribution to the European LFS and data are delivered quarterly to the European Statistical office., Labour Force Surveys are carried out in every European country as well as in many other countries around the world following common concepts and guidelines. This makes the Labour Force Survey the best Danish survey for international comparisons on labour market statistics., Read more about relevance, Accuracy and reliability, The Labor Force Survey (LFS) has a relatively large sample and there are continuous improvements in enumeration methods. This provides reliable statistics for the population's connection to the labor market, although there is uncertainty linked to the selection of the sample and the structure of the non-response., In Q1 2016, the response rate was exceptionally low, creating greater uncertainty about the figures. Furthermore, web interview (CAWI) has been introduced as a new data collection method. The two factors created breaks in the time series. The breaks are corrected on the main series., Read more about accuracy and reliability, Timeliness and punctuality, The Labour Force Survey is published 1.5 months after the end of a reference period and usually without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Labor Force Survey (LFS) has been conducted since 1994 and tables can be found at StatBank Denmark from 1996 onwards. A new enumeration method has been introduced, where the sources only go back to 2008. The new series therefore only go back to 2008 in comparable form. LFS is made according to the same guidelines in all EU countries and several other countries and is therefore well suited for international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published quarterly and yearly in a Danish press release. In StatBank Denmark these statistics are published under the topic , Labour Force Survey (LFS), . For further information, see the , subject page, ., More detailed statistical data can be purchased via DST Consulting, see , customised statistics, ., It is also possible to access micro-data through , Statistics Denmark's Research Service, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-force-survey--lfs-

    Documentation of statistics

    User roles

    The relevant employees in a research project must be created as users in Denmark’s Data Portal. You have different options when using Denmark’s Data Portal, depending on which user role your institution assigned to you. Below you can read which rights the different roles have. In Denmark’s Data Portal, 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 Denmark’s Data Portal:, 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 Denmark’s Data Portal. 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 Denmark’s Data Portal. 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 Denmark’s Data Portal., The administrator must contact Research Services 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 Denmark’s Data Portal 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 Research Services., 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 Research Services 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 Research Services 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 Denmark’s Data Portal, 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 Research Services 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 Research Services, Who can edit user information in Denmark’s Data Portal?, The individual user can update his or her own user information in Denmark’s Data Portal. 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 Denmark’s Data Portal. , 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 Denmark’s Data Portal 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 Denmark’s Data Portal (pdf, in Danish)

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

    Authorisation of institutions

    Institutions must be authorised in order to get access to data under Statistics Denmark’s microdata schemes. This page has information on the possibilities of obtaining authorisation or client authorisation and on the application process., Apply for authorisation, To get access to pseudonymised data under Statistics Denmark’s microdata schemes, your institution must be authorised. To obtain authorisation, an institution must have a permanent research/analysis environment, which involves e.g. employing a head of staff and at least three experienced researchers/analysts. To apply for authorisation, you must complete the application form at the bottom of this page., Read more about our requirements to your institution and the application under ‘Types of institutions eligible for authorisation’ and ‘Requirements to application for authorisation’ below., Without authorisation – what are the options?, If your research/analysis environment is not eligible for authorisation, or if you do not want to be authorised, you have the following options:, You can get Statistics Denmark’s Consulting team to perform the analytical task for you. , See how you commission a task with Statistics Denmark Consulting, You can commission a private consultancy that is already authorised to make the analytical task for you. For this, you need a client authorisation. , Note: , This solution is only offered to public institutions and requires that the performing consultancy has access to the data you need, or that you are granted an exemption allowing the consultancy to get access. Find further information under ‘Requirements to application for client authorisation’ below., Apply for client authorisation, To be authorised as a client, you must complete the application form at the bottom of this page. Please note that there are special requirements to the completion of specific fields in the form. Look for guidance under ‘Requirements to application for client authorisation’., Types of institutions that can be authorised, The below environments located in the Danish Realm may be considered for authorisation, if these comply with the application criteria:, The user group is defined under the framework agreement between Statistics Denmark and Danish e-infrastructure Cooperation (DeiC): Publicly funded research and analysis environments (i.e. university departments, government research institutes, ministries, government agencies etc.) as well as charitable foundations in Denmark., In the private sector, the following Danish organisations are eligible for authorisation:, Interest organisations. In this case (and in the case of enterprises), it is relevant to look at the ownership, the staff (education) as well as the tasks solved for public customers in particular. It may be necessary to make inquiries with these customers to get an opinion., Consultancies. However, consultancies cannot get access to business data. The director general may grant an exemption to consultancies allowing them to gain access to business data when carrying out fact-finding or research on business data for a public authority or an interest organisation, provided that this happens with the authority or organisation as data controller., Other enterprises may be authorised but may not get access to data that includes business data., Specifically for Greenland and the Faeroe Islands, According to the General Data Protection Regulation, the Faroe Islands and Greenland are third countries, which is significant in terms of obtaining authorisation:, The Faeroe Islands has obtained an adequacy decision by the European Commission, which means they can be approved as a secure third country. Institutions and enterprises from the Faeroe Islands can thus obtain authorisation on an equal footing with those from Denmark., Greenland has not obtained an adequacy decision, which is why Greenlandic institutions must enter into transfer agreements to obtain authorisation. Until Greenland is approved as a safe third country, authorisation can only comprise public institutions., For both the Faroe Islands and Greenland, the authorised institution must obtain approval from the Danish Data Protection Agency if it wants access to sensitive data according to the Danish Data Protection Act., Requirements to application for authorisation, In order to be eligible for authorisation, your institution must have a high and sustained focus on data security. Statistics Denmark has determined four requirements that you must be able to meet:, In the research/analysis environment, there must be a personnel manager who accepts the responsibility for the authorisation and for overseeing that the rules in the authorisation agreement are kept. This includes continuously ensuring that all persons in need of access are familiar with the rules on access to data and the rules on transfer of results., As a minimum, there must be at least three people in the environment with specific experience in handling large data volumes and solid knowledge of our data security rules. Experience may have been gained, for example, through previous access to pseudonymised data under Statistics Denmark’s microdata schemes, or experience otherwise gained with the handling of register data., For private environments, the research/analysis environment must be at least one year old to be considered for authorisation., The environment must appear from the institution website., If you are a public institution, and your research/analysis environment does not meet the requirements, you can consider commissioning an already authorised private consultancy to solve the analytical task for you. For this, you need a client authorisation. Read more under ‘Requirements to application for client authorisation’., If you have questions about the application for authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for authorisation’ in the subject field., Requirements to application for client authorisation, To be considered for client authorisation, you must enter a cooperation agreement with a private consultancy that already holds an authorisation. In that case, the analytical task will be carried out at your/the client’s responsibility, but based on the specialised environment at the consultancy charged with the task., Client authorisations are only offered to public institutions and require that the performing consultancy can get access to the data you need. Please inquire with the consultancy if this is the case before you apply for a client authorisation., Note:, If you need business data with limited access, you can apply for an exemption on behalf of the consultancy. Read about the possibility of applying for an exemption under , Access to business data, ., You cannot apply for an exemption until you have been client authorised., Guide to application for client authorisation, To apply for a client authorisation you must use the same form as for an application for authorisation (bottom of the page)., All fields in the form must be completed as specified, except for these six:, Under ’Name of institution’ you must add ’- Client authorisation’ , [Example: Agency for xxx - Client authorisation] , Under ‘Name of person responsible for authorisation (head of staff)’, you enter the name of the head of staff in your institution who is going to act as the person responsible for authorisation. For the person in question, this involves e.g. assigning roles in Denmark’s Data Portal and acting as data controller without any supervisory obligation. The supervisory obligation lies with the consultancy charged with the task. Read more about the division of roles under , User roles, ., Under ’Brief description of your research/analysis environment’, you must state the name and authorisation number (1-3 digits) of the consultancy charged with the task , [Example: Name of consultancy, 123], Under ’Number of researchers in your research/analysis environment’, you must enter ’0’, Under ’Number of people in the environment who have specific experience in handling register data/large volumes of data, you must enter ’0’, Under ’Link to the environment website’, you must enter your institution website., If you have questions about the application for client authorisation, please contact , FSEautorisation@dst.dk, . Please write ’Re. application for client authorisation’ in the subject field., How Statistics Denmark assesses applications for authorisation and client authorisation, Assessment of application for authorisation, To assess whether you can be authorised, we make a specific assessment based on your research/analysis environment. In doing so, we focus on your competences in data management and your knowledge of the data security rules that apply for access under Statistics Denmark’s microdata schemes., All authorisations need approval from the director general of Statistics Denmark., If you are approved for authorisation, you must enter into a data processor agreement with Statistics Denmark., Assessment of application for client authorisation, To obtain a client authorisation, your research/analysis environment does not need to be assessed by Statistics Denmark. This is because your analytical tasks will be handled by an authorised consultancy., In the assessment of your application for a client authorisation, Statistics Denmark focuses on whether you are a public institution and whether you have appointed a head of staff as responsible for authorisation., If you are approved for a client authorisation, you must enter into a data processor agreement with Statistics Denmark., Other agreements, documents and guides (in Danish), Autorisationsaftale, Databehandleraftale (pdf), Tilknytningsaftale, Brugeraftale, Read about the rules on transfer of analysis results, Please refer to Statistics Denmark’s Data confidentiality policy and Information security policy, If you have questions about the application for authorisation or client authorisation, please contact , FSEautorisation@dst.dk, .

    https://www.dst.dk/en/TilSalg/data-til-forskning/autorisering-af-institutioner

    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