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    How we carry out services

    The price of a service depends solely on the number of hours spent on the service. As a customer, you can reduce the time spent in the initial phase – and consequently the price – by making yourself acquainted with how we proceed with commissioned services. We have made a bulleted summary below describing a typical procedure for a customised service. We will be happy to help you through all phases of a service, so do not hesitate to contact us if you have any questions. It is useful to get acquainted with our registers and variables by looking into , www.statbank.dk, . , It is also a good idea to inform Statistics Denmark about your expectations to price and time frame, so that we can align our expectations from the start as to what is feasible. ,  , 1. WHAT WE CAN PROVIDE, NO MICRO DATA, Statistics Denmark is not allowed to provide individual pieces of information about persons, families, households or enterprises. For this reason, services will usually be provided as a table or set of summarised data. , REGISTERS, Statistics Denmark can combine data from many different registers by correlating data from CPR about persons, CVR about enterprises or BBR about properties. , STATISTICAL DATA PERIOD, If you want to correlate several statistical registers, different statistical data periods may cause that some persons/enterprises in one register cannot be matched with the content of another register. , STATISTICAL METHODS, Different statistical methods may also imply that a few persons/enterprises included in one register may not be included in another register. The income statistics, for example, are delimited to include taxpayers. Accordingly, if a person is not a taxpayer, this person is not registered in these statistics. The same person may easily be found in other registers, e.g. in the educational register. , QUALITY, Statistics Denmark makes a point of providing tables and data of a quality that we can vouch for. For this reason, Statistics Denmark may decline to provide a service, if we consider that the data quality, dropout or data construction does not provide a sufficiently well-founded assessment of reality. ,  , 2. CLARIFICATION PHASE, SUBMIT REQUEST , If you want to receive a quotation from us for delivery of statistics, click the link below and fill in the form. This allows us to find the right consultant for the further process:, Request a quotation, If you want to order an update of previously delivered services, click the link below and fill in this form:, Request update of a former delivery, The completed form will help clarify questions such as:, Do we have the requested data?, Can we delimit data in the way that you request?, Are there any matching problems between registers?, Do special circumstances exist concerning data, which may involve constraints?, Do we need to take measures regarding statistical disclosure control to eliminate the risk of disclosing information on a single individual statistical unit?, When the statistics were last updated?, By when do you need the data?,  , 3. DELIMITATION OF POPULATION, TOTAL POPULATION , The total population will often be a population that is comparable with published, free-of-charge figures at , www.statbank.dk, , such as the population of a municipality. , DELIMITED POPULATION, Based on selected variables in the register, we determine how we are going to delimit the population. This could be e.g. persons aged 16-29 in employment. , YOUR OWN POPULATION, We can delimit the population on the basis of civil registration numbers (CPR), central business register numbers (CVR) or addresses that you have provided us with, which we can then match with the requested registers. Note that you are not allowed to provide us with your own population without prior agreement, since data must be encrypted when submitted and we must make a data processor agreement. , COMPARABILITY WITH PUBLISHED STATISTICS, When we provide services, to the extent possible, we check data against other published sets of statistics and document to which of Statbank Denmark’s sets of statistics you can make comparisons. If we are unable to compare or check data against the published statistics, e.g. if extraction is made from your own population, this is noted in the documentation. ,  , 4. VARIABLES, TIDSSERIER , At , www.statbank.dk, you will be able to find tables displaying the most widely used variables in our many registers. Please note that many registers/variables are not comparable over time. This is because changes may occur in the sets of values for various variables (e.g. in groupings from e.g. ages 0-5 and 6-10 to ages 0-4 and 5-9), or there may be changes in the method of assessment for the statistics, e.g. changes in the definitions of certain variables. If changes have occurred in Statbank Denmark tables that make it difficult to compare data over time, two tables will be displayed, each with their separate time series, instead of one table. , STANDARD GROUPINGS , It is possible to do both: use standard grouping of variable values and make your own groupings. You can find help for standard groupings by looking at the different nomenclatures here: , https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer, TABLE SIZES , Consider whether you want one table crossing all variables, or whether you could use several small tables. If you want one big table crossing many variables, it may be necessary to apply statistical disclosure control, which often makes the requested service more costly and data less useful. ,  , 5. PRICE AND QUOTATION, THE QUOTATION, When the requested service has been clarified, we prepare a quotation, which is usually open for a month. It is no problem for us to change the quotation during the process, but we do make reservations with respect to increasing the price if we need to spend time adjusting the quotation., TIME-RELATED CHARGE, We calculate the price of a service based on the total time spent on the service., The time spent consists in e.g.:, Clarifying the scope of the requested service, as we need to close the gap between your ideas and the data , Preparing a quotation and contract, if relevant, and/or data processor agreement , Programming, including linking between registers, applying statistical disclosure control as well as test and validation of data. , Setting up tables in Excel and preparing documentation ,  , The hourly rate for services is , DKK 1,476 excl. VAT (DKK 1,845 incl. VAT), . , You can read more about the basis of the calculation of the hourly rates for services under prices and pricing policy. , BUDGET FOR THE SERVICE, We are very interested in hearing your expectations to price and, if relevant, the budget that you anticipate, as early in the process as possible, as this can help us optimise the time we spend. , INITIAL SURVEY, If we estimate that it will take more than one hour to clarify the requested service (including table definition and price calculations), we offer to make an initial survey. A preliminary survey can ensure that you do not place an order for a major service project, which later proves to be useless. Before we agree on an initial survey, we are typically able to make a not binding estimate of how much the final service is going to cost. , FRAMEWORK AGREEMENT, If a service is difficult to estimate in terms of time or to define, we offer to create a framework agreement. In case of a framework agreement, we agree on a framework for a certain number of hours, but you only pay for the time we actually spend performing the service. A framework agreement provides more room in the process for clarification and changes of definitions, but we cannot guarantee how much we can accomplish within the agreed number of hours. , FIXED-PRICE CONTRACT, If a service is well-defined, we can make a fixed-price contract, in which we agree on a price as well as which aggregated tables we provide at the given price. ,  , 6. DATA SECURITY AND CONFIDENTIALITY, We greatly emphasize the protection of personal data as well as data on enterprises. For this reason, we do not provide statistics involving a risk that individuals or individual households or enterprises can be identified. For further information about this, read our Data confidentiality policy., Statistics Denmark reserves the right to apply statistical disclosure control to datasets to the extent deemed necessary., WHEN DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, We must apply statistical disclosure control if:, the tables are highly detailed and it is possible to identify individuals or enterprises, you want to break down on variables included in your submitted datasets, which have been used to delimit the population (e.g. types of customers). In this case, we typically require a minimum of 30 or 50 units in each cell, HOW DO WE APPLY STATISTICAL DISCLOSURE CONTROL?, There are several methods of statistical disclosure control and it is agreed in collaboration with the customer which method we use. We typically select one the following options:, Automatic aggregation of categories of variables to an aggregate category named “statistical disclosure control” until the statistical disclosure control requirement has been met., Manual aggregation of categories of variables until the statistical disclosure control requirement has been met. This solution is somewhat more time-consuming and consequently involves higher costs., The value in the cell is set for “statistical disclosure control” if the number of observations is too low. With this solution, all categories of variables are maintained, but you can no longer use the sums in the table.,  , 7. COMMISION, You commission a service when you accept the quotation from Statistics Denmark in writing. , CONTRACT FOR SERVICES , Statistics Denmark prepares a contract for all services above DKK 25,000 excl. VAT or services on special terms. ,  , 8. CREATION OF DATA AND DOCUMENTATION, In principle, we create data based on the definitions we have established together. In practice, questions will emerge along the way, to which we will find a solution together. This means that it is necessary that you are available and able to respond to any clarifying questions within reasonable time while we work on the service. , DOCUMENTATION , We deliver the service to you along with documentation describing the registers, variables, population, any data breaks and how we have carried out the actual service. , Documentation of variables is available at , www.dst.dk/dokumentation, Documentation of registers is available at , www.dst.dk/varedeklarationer,  , 9. DELIVERY AND PAYMENT, We endeavour to execute minor services within 1-3 weeks. For major service projects, the delivery time varies. The delivery time depends on the number of services that we are contractually committed to complete, and the scope of the service. Especially during the holiday season or in periods where new data is released, the delivery time may be long. , FORMATS, We usually deliver the tables in Excel, but also offer to deliver in other formats., Large tables can be delivered as Excel pivot tables or in PC-Axis. In this way, you can extract parts of the table and analyse a subset of data. Large tables are typically unsuitable as frozen tables in Excel. Delivery of data in PC-Axis format is more costly., We can deliver summarised data as e.g. SAS, SPSS, semicolon separated file or other flat file., INVOICING, When we have delivered the service, we will invoice you. The time for payment is 30 days. We reserve the right to sub-invoice services stretching over a long period of time., SUBSEQUENT ADVISORY SERVICES, Within the first month after delivery, we offer up to 15 minutes of advisory services/help to understand and interpret data. For major services, we incorporate subsequent consulting services in the contract., We offer further consulting by special arrangement and settled by separate payment at the current hourly rate. We will notify you when the included time has been spent., ERRORS IN THE DELIVERY, If within 30 days, you or we become aware of errors in the registers, or if we have made a programming error in the service provided, we deliver new data as soon as possible., We are very interested in knowing about errors, small or large, or any inexpediencies in the statistics, so that we can check and, if relevant, correct the content in customised services as well as in the registers. It is only rarely possible for us to immediately correct errors in the underlying registers, but we do anything we can for it to happen as soon as possible.,  , 10. GENERAL TERMS FOR SERVICES, You will find the general terms for services here: , General terms and conditions of agreements, If you want to e.g. pass on the customised set of statistics to a third party, or publish data directly on a website in raw form, this must be incorporated in the contract. , 11. SUBMISSION OF DATA, If the service requires that you submit personal data to us, you must enter into a data processor agreement with us before you submit data., For security reasons, you are not allowed to submit personal data via regular email. You must use one the following options:, If your organisation has secure, encrypted FTP access, you may use this to submit data to consulting@dst.dk for the attention of your contact in DST Consulting stated in the email., If your organisation has tunnel access, you may use this to send an email with attached information directly to your contact person in DST Consulting., You can download a safety certificate from the website and submit data via encrypted email based on the contact person that is created. Then you can submit data via email to consulting@dst.dk for the attention of the customer’s contact person in DST Consulting., You can email the contact person in DST Consulting and submit data by attaching it as a password protected zip file, provided that you transmit the password via another channel – e.g. via text message or telephone,  , 12. DATA STORAGE, STORAGE OF SUBMITTED DATA, To facilitate subsequent consulting services, we generally store personal data for three years after delivery of the service. If you want us to store data for a longer period, this must be indicated in the data processor agreement. You can find further information about this under , data processing, . , STORAGE OF CUSTOMER INFORMATION, For accounting reasons, Statistics Denmark stores contact information you have provided for you and your enterprise/organisation. Further information about the processing and storage is available in our , Privacy policy for the handling of personal data at DST Consulting, . ,  

    https://www.dst.dk/en/TilSalg/skraeddersyede-loesninger/bestil-en-opgave/serviceopgavens-forloeb

    Previous projects

    Statistics Denmark has been involved in international cooperation projects since the beginning of the millennium. , Additional information and reports from the projects are available on request. If you are interested in information about a specific historical project please write an email to , internIR@dst.dk, and we will get back you. , Below there is a short description of some of the historical projects. In addition to these, we have been involved in many other projects on a smaller scale. , Armenia, Statistics Denmark implemented an EU-financed Twinning project in Armenia in cooperation with the national statistics institutions of Finland, Italy and Lithuania from August 2015 to August 2017. The beneficiary institution was the National Statistics Service of the Republic of Armenia, Armstat. The aim of the project was to support the upgrade of official statistics of Armenia by introducing new methodologies on statistics closely aligned to European standards and enhancing dissemination of official statistics to the society. , The project focused on six major components: , Dissemination and Quality of Statistics, Demographic Statistics and IT, Labour Market Statistics, Poverty Statistics, Innovation Statistics, Water Accounts , The project was the second EU Twinning project between Armstat and Statistics Denmark. The first project ran from 2011 to 2013., Bosnia-Herzegovina, Bosnia-Herzegovina 2021-2023, Statistics Denmark was implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Sweden and Italy. The project ran from March 2021 to March 2023. , The beneficiary institutions were: , Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina, Indirect Taxation Authority of Bosnia and Herzegovina., The overall objective of the project is to increase the volume of statistical data in/for BiH and further increase the compliance with EU Acquis, with the specific objective to strengthen the statistical system institutional capacities and to further harmonise statistics in BiH with EU standards by improving business statistics, balance of payments, agriculture and labour market statistics and to improve reporting/statistics on collected indirect taxes. , In general, the project addressed six independent components: , Component 1 - Business Statistics, with four subcomponents, C 1.1 - Statistical Business Register, C 1.2 - Structural Business Statistics, C 1.3.1 - Index of Production in Construction, C 1.3.2 - Index of Services Production, Component 2 - Agricultural Statistics, Component 3 - Administrative Data Sources, Component 4 - Labour Market Statistics, Component 5 - Balance of Payment Statistics – Central Bank, Component 6 - Macroeconomic Analysis Unit of the Governing Board of the Indirect Taxation Authority, You can read more about the project on Facebook: EU Twinning - Further Support to the Reform of Statistics System in BiH , Bosnia-Herzegovina 2018-2020, Statistics Denmark has implemented an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Croatia, Finland and France. The project ran from January 2018 to April 2020. , The beneficiary institutions were:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska, Central Bank of Bosnia and Herzegovina., The aim of the project was to strengthen the statistical system in Bosnia and Herzegovina and to increase the number of statistics, which is harmonised with EU standards. , The project focused on the following topics: , Component 1: National Accounts, Component 2.1: Statistical Business Register, Component 2.2: Structural Business Statistics, Component 2.3: Service Producer Price Index, Component 2.4: Construction Producer Price Index, Component 2.5: Tourism Statistics, Component 3: Balance of Payment and International Investment Position Statistics, You can read more about the project on Facebook: EUtwinningStatisticsBiH , Egypt, From September 2008 to November 2010 Statistics Denmark and the Central Agency of Public Mobilisation and Statistics (CAPMAS) of Egypt implemented an EU Twinning project. The project was called "Institutional Capacity Building for the Central Agency of Public Mobilization and Statistics; and Developing the Legal Framework for Statistics in Egypt"., We implemented the project in partnership with Statistics Sweden, Statistics Finland, Central Statistical Bureau of Latvia and the Czech Statistical Office. The objective was to support the preparation of statistical policy and legislation and to build up the organizational capacity of CAPMAS to produce, publish and disseminate high quality statistics., The project focused on six major components:, Improvement of statistical legislation, Organisational reform, Increasing statistical awareness, Improved IT-function, Development of certain statistics such as national accounts, external sector statistics and price statistics , Georgia, Statistics Denmark implemented an EU-financed Twinning project in Georgia. Our partner was the National Statistics Office of Georgia, Geostat. The implementation happened in cooperation with the national statistical institutes of the Czech Republic, Hungary, Finland and Lithuania. The project ran from April 2019 to July 2021. , The project has four main topics:, External Sector Statistics, National Accounts, Business Statistics, Social Statistics, The aim of the project is to assist Geostat in further improving statistical capacity and contributing to providing timely, internationally comparable and reliable statistical data. , You can also follow the project on Facebook: EUtwinningGeostat. , Ghana, Statistics Denmark implemented the first phase of a Strategic Sector Program financed by the Ministry of Foreign Affairs in Ghana from 2019-2023. The partner was Ghana Statistical Service (GSS) which is the main producer of official Statistics in Ghana., The overall objective of the Strategic Sector Program in Ghana was to lay the foundation for a statistical system that needs fewer surveys, while at the same time having more and higher quality data. To reach this objective the cooperation supported Ghana in:, strengthening the foundation of evidence-based decision making at all levels in Ghana by reinforcing the quality, dissemination and communication of relevantstatistics to users in Ghana andinternational organisations working with Ghana,, boosting the modernisation of the nationalstatistical system in Ghanaby strengthening data and quality management and new data sources in the entire statistical production process,, improving the monitoring and reporting of the UN Sustainable Development Goals in Ghana., Social Statistics, In 2025 our SSC-project with Ghana and GSS entered into Phase II which runs from 2024-2026. , Israel, Statistics Denmark and the Israeli Central Bureau of Statistics (ICBS) implemented a two-year EUTwinning project from March 2016 to August 2018. Besides experts from Statistics Denmark, the project was implemented in cooperation with the national statistics institutions in the Netherlands, Poland and the UK., The project is a result of the bilateral ENP Action Plan between the EU and Israel., See the EEAS website for further details on the EU/Israel Action Plan, The project had four major components:, Quality management of official statistics, Micro-data services to researchers, Infrastructures for agricultural statistics, Methodological and geo-spatial tools for improving the quality and efficiency of field surveys, The purpose of the project was for the ICBS to align official statistics with standards, guidelines and best practices from the European Union and from international organizations like the IMF and the OECD., The project was a logical continuation of a previous EU Twinning project between Statistics Denmark and ICBS that ran from May 2013 to December 2014., Jordan, 2022-2025, From 2022-2025 Statistics Denmark implemented an EU-financed Twinning project in the Hashemite Kingdom of Jordan. Our partner was the Department of Statistics of the Hashemite Kingdom of Jordan (DoS)., The implementation was done in close cooperation with the Federal Statistical Office in Germany, The Italian National Institute of Statistics and Statistics Lithuania as Junior Partners, with support from Statistics Finland. The project will run from September 2022 to March 2025., The overall objective of the Twinning Proposal was to strengthen the capacity of Jordan’s Department of Statistics in terms of compilation, analysis and reporting of statistical data in line with International and European best practices with the flowing two specific objectives, which will contribute, to delivering the strategic goals of the statistical system in Jordan. , Specific Objective 1: To strengthen and develop Jordan’s business and population statistics in line with best international practice through the incorporation of administrative data sources., Specific Objective 2: To enhance DoS statistical outputs by developing new policy-oriented statistics and updating and strengthening current methodologies, particularly for survey-based data., The project is structured around three components: , Component 1: Integrated administrative data system, Component 2: Small Area Statistics, Component 3: Missing or erroneous data, 2013-2015, Between November 2013 and April 2015, Statistics Denmark implemented another EU Twinning project with the Department of Statistics of Jordan. We worked on the implementation together with Istat of Italy, the Central Statistics Bureau of Latvia and Northern Ireland Cooperation Overseas. , The topics were:, Ensuring quality control of statistical data through upgrading sampling methodologies, Implementing international and European methods in National Accounts , Quality of statistics , Developing IT systems for online dissemination of statistics, Kosovo, From December 2013 to March 2016, Statistics Denmark implemented an EU Twinning Project with the Kosovo Agency of Statistics. We worked with partners from Statistics Lithuania, Statistics Finland and Ni-Co Northern Ireland., The project had four components:, Quality Systems for Statistics, National Accounts, Business Statistics, Information Technology System, Morocco, From 2019-2023 Statistics Denmark implemented the first phase of a Strategic Sector Program in Morocco financed by the Danish Ministry of Foreign Affairs. Our partner was the High Commission for Planning (Haut-Commissariat au Plan - HCP) which is the main producer of official Statistics in the Kingdom of Morocco. , The overall objective of the Strategic Sector Program is to contribute to the public debate in Morocco by providing the society with relevant and easily accessible statistics and support informed decision making by supporting a: , Digital data transformation with the aim to improve the quality of statistics and increase the efficiency of the statistics production,, Strengthened user orientation to better understand user needs and improveuser-friendliness and accessibility so more data is used by all levels of society,, Improved monitoring and reporting of the Sustainable Development Goals, In 2025 our SSC-project with Morocco and HCP entered into its second phase which runs from 2024-2026. , Mozambique, The project between Statistics Denmark, Statistics Norway and Statistics Sweden on one side and Instituto Nacional de Estatística of Mozambique (INE) ran from 2002 to the end of 2017. , Originally, the project was funded by the World Bank to support the newly formed national statistical institute (INE) with its first 5-year master plan, 1998-2002. , Long and short term advisors started helping INE to strengthen already existing systems and support the creation of new ones to build up an efficient system for the production of the statistical information required for planning, monitoring and evaluation of the country's development program. , During the period 2003-2007 an even more extensive project was created where Denmark, Norway and Sweden joined to directly finance both technical assistance and statistical activities. A consortium, Scanstat, was formed by Statistics Denmark (lead), Statistics Norway and Statistics Sweden provided technical assistance. , Since 2008, the financing of the project was made through the state budget by the government of Mozambique and a common fund, where UNFPA (lead), Norway and Sweden were signatories of the Memorandum of Understanding and contributing financially to the fund. Also Denmark, Canada, Italy, the World Bank, FAO and UNICEF were often participating as interested stakeholders in common meetings. , For the period 2013-2017, the contract between Scanstat and INE contained 111 months of long-term technical assistance, one in Institutional Development and one in Economic Statistics. There was also up to 207 weeks of short-term technical assistance covering all aspects of a modern staistical office in a developing country. Some of the activities were executed at other producers of official statistics in Mozambique such as the Ministry of Agriculture and Food Security. , INE has been supported by the Scandinavian countries for a long time and we have been in a prolonged phasing-out phase focusing on sustainability and empowerment of the national Mozambican staff. It is encouraging to see how INE is taking up its role within the African statistical society and now often act as promoter and a good example. , Pan-African Statistics - PAS II 2022-2025, The Pan-African Statistics project was part of an EU funded programme counting two projects (SOCSTAF - Social Statistics and ECOBUSAF - Economic and Business Statistics) headed by Statistics Denmark and Statistics France (INSEE) respectively. The Danish-headed project focused on support to producing official statistics within the social domains of education, health, and labour and counts consortium partners from the NSIs of France, Finland, Spain and Poland. , The aim of the Danish-led part of the project (SOCSTAF) was to support African integration through strengthening the African Statistical System and ensure the use of quality statistical data in the decision-making process and policy monitoring, in order to facilitate monitoring of societal progress in Africa, with a special focus on the social domain. , The project intended to reinforce the capacity of selected African national statistical offices in producing good quality social statistics in fields of health, education, and labour and thus contributing to the following three outputs: , Output 1: Reliable and harmonized statistics are collected and analyzed based on international standards recognized and applied across the entire African Statistical System in a number of key sectors relevant for African integration (with disaggregation by sex, age, and disability where relevant), Output 2: Reliable and harmonized statistics are disseminated to users and used as evidence for informed decision-making., Output 3: The institutional capacity of the African statistical system is increased at national level., Ukraine, Statistics Denmark implemented an EU-financed Twinning project with the State Statistics Service of Ukraine from December 2013 to December 2015. INSEE France, Statistics Lithuania, Central Statistical Office of Latvia, Central Statistical Office of Poland, Statistics Finland, Statistics Sweden, Statistical Office of the Slovak Republic, INE of Spain and ISTAT Italy were also providing expertise to the project., The objective of the project was to develop Ukraine’s national system of official statistics in order to apply European standards in the area of statistics., The project had 13 components:, National Accounts, Consumer Price Index (CPI) Sample, Quality reports, Producer Price Index (PPI), Structural Business Statistics (SBS), Business Trends Survey, Agriculture Statistics, Foreign Trade Statistics, Statistical Business Register, Sample Surveys Methodology, Capital and Foreign Direct Investment, Household Living Conditions Survey, Effective Communi­cation with Media and Public, Promoting the Activity of the Statistical Office, Web Portal Solutions, Data Collection Process, The project was a follow-up to a previous EU Twinning project running from 2011 to 2013., Vietnam, From 2022 to 2024 Statistics Denmark implemented the first phase of a Strategic Sector Program in Vietnam financed by the Ministry of Foreign Affairs. Our partner was the General Statistics Office of Viet Nam (GSO). The GSOwas an organization under the Ministry of Planning and Investment (MPI) performing the advisory function for the MPI Minister on state management in statistics and providing social and economic information to national and international organizations and individuals. The GSO also plays a key role in monitoring the SDGs.., The overall objective of the Strategic Sector Program was to contribute to the development process of the Viet Nam by providing adequate and trustworthy statistics complying with the international standards and trends. , The project played an important role in the process to informed decision-making by supporting the development of at least four areas:, Modernizing the data collection methods for population and migration statistics so that Viet Nam can improve the quality of demographic statistics and gain more reliable information on the developments m the population, Developing education statistics with the ambition that an education sector will have an informed platform to base daily operations and future development, Introducing Big Data as a new data source in Viet Nam and producing experimental statistics in order to provide more knowledge on the Vietnamese society, Developing the GSO's capacity to develop environmental-economic accounts, hence increase available knowledge on the environmental situation in Viet Nam and improve monitoring and reporting of the environmental-related SDGs., In 2025 our SSC-project with Vietnam and the National Statistical Office (NSO) entered into its second phase which runs from 2025-2027.

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

    Labour Force Survey (LFS)

    The Labour Force Survey is the most comprehensive continuous survey in Denmark. The survey is conducted quarterly and is based on a sample of the population. Each year 85,000 Danes aged 15-89 years participate. The Labour Force Survey in Denmark, called Arbejdskraftundersøgelsen (AKU), is the Danish contribution to the European Labour Force Survey and the survey is included in the unemployment statistics of Eurostat and the OECD. Data is collected and processed according to the same principles in all EU member states. The survey has been conducted continuously since 1994., The main purpose of the Labour Force Survey is to cast light upon the attachment of the population to the labour market. The population aged 15-89 years is generally divided into employed persons, LFS unemployed persons and persons outside the labour force., Furthermore the survey covers a range of other matters, and it is especially suited for:, Drawing international comparisons , Providing knowledge about unemployed persons who are not entitled to claim social benefits , Knowledge about youth unemployment (15-24-year-olds) , Specifications on working time. , In addition to the fixed questions, the questionnaire is regularly supplemented with additional questions with regard to a variety of subjects, e.g. disabled persons in the labour marker, work and family life or the transition to retirement.    , The results from the Labour Force Survey are published quarterly in the publication Nyt fra Danmarks Statistik (News from Statistics Denmark)., Quality Declaration, The quality declaration provides information about the Labour Force Survey. You can find information about the purpose of the survey, the possible applications and who the typical users of the survey are. Furthermore there is information about the basic definitions and the methodological prerequisites that the LFS is built upon. In addition the quality declaration contains contact information on the administration of the Danish LFS., Read , Quality Declaration: Labour Force Survey, Documentation, The documentation contains information on the methodological basis for LFS. Here you can find papers on the most central statistical and methodological changes influencing the development of the LFS. Also more in-depth explanation to external users of the LFS that wish to publish figures from the LFS can be found. Furthermore it is possible to get the survey questionnaire and the codifications applied in the LFS. At the same time you can get information on the special modules that are often linked to the LFS (the so-called Ad hoc modules)., Here is a range of information about the Labour Force Survey central to the documentation of the survey. For example how the questionnaire is constructed, which codifications are used and furthermore papers describing the conceptual and methodological conditions and developments in the Labour Force Survey. These papers are supplementary to the declaration of content of the LFS. In addition, guidelines for the use of data from the LFS are described., Read:, The LFS-questionnarie, Codification,  , Publishing LFS-data, Statistics Denmark has described some guidelines for the use of data from the LFS. The purpose is to assure quality in the analysis based on the LFS and furthermore inform external users of the LFS on e.g. sampling errors. It is possible to achieve knowledge about publishing limits on yearly and quarterly basis. For further information:, Paper on guidelines to inform external users,  , Paper on additional guidelines to inform external users,  ,  , Method, The incoming results from the Labour Force Survey are weighted before publishing the results for the entire population. The method of weighting has been revised several times over the years, which can influence the development in the figures of employment and unemployment at the aggregate level, as well as the developments of figures for subgroups., One should be aware of four revisions in the method of weighting: 2003, 2007, 2011 and 2015. In connection with the method of weighting in 2011, data going back to 2007 were revised. The present method of weighting was implemented in Q3 2015 and the method now includes a weighting method based on the panels. The new weighting method led to marginal changes in the data, and therefore the data was not revised back in time., The actual effect of the revision in the method of weighting in 2011 is described in the paper below. Here you can read about in which way the revision in the method of weighting has influenced the level of employment in general and additional the size of subgroups (i.e. age groups, part-time and fulltime employees, educational groups and employed/self-employed persons)., Paper on the 2011 weighting-method (practically), (Danish version) , The theoretical considerations behind the changes in the method of weighting as well as the gains the revisions have led to on the LFS, are described in the following document. Here one can read about the background and the motivation for the revisions. Among other things, the revisions has led to a more precise age distinction and improved use of help information from several registers., Paper on the 2011 weighting-method (theoretically), (Danish version), Prior to 2007 a method implemented in 2003 was used. This revision implemented a correction where sex is corrected according to secondary age groups. At the same time it is described how the register of unemployment (CRAM) was used to divide the LFS-unemployed in the survey., Paper on the 2003 weighting-method, (Danish version) , EU modules, The Labour Force Survey can be supplemented with additional questions, so-called “EU modules”. The main focus of the EU modules changes yearly, but at the same time the construction “rotates” meaning that the same subjects are repeated regularly. In Denmark, ¼ of the respondents participate in the survey during a year., How can one use the EU modules?, If your organization or firm is interested in the subjects from the EU modules, it is possible to:, • Gain access to data from already completed EU modules, • Link additional questions to forthcoming EU modules, • Get involved in the development of EU modules,  For an overview of the EU modules: , Information om EU moduler 1999 - 2025, (Danish version),  , Concepts, Here you can find definitions of the central concepts in the LFS e.g. who is counted as employed, LFS unemployed and outside the labour force. In addition there are a range of papers that deepens the LFS concepts on unemployment, employment and working time, and compare them with the concepts of the register-based labour force statistics., Concepts applied in the LFS, The definitions in the LFS comply with the guidelines as laid down by the ILO, the international labour market organization of the UN. The operationalization of the concepts is made by Eurostat, who coordinates the common European Labour Force Survey. The operationalization is hereby recommended by ILO and Eurostat., The general definition of the attachment to the labour market is built up hierarchically implying that:,  , Employed , are: Persons, who in a given reference week have worked for payment for at least one hour, and persons temporarily absent from their job., For further information about the concept of employment in the LFS and other relevant statistics read , Paper on Employment concepts in the Labour Force Survey, National Accounts and Working Time Accounts, and for a brief overview read , Employment concepts, (Danish version).  , LFS unemployed, are: Persons, who are not defined as being employed, and who have actively been looking for work in the past four weeks, and furthermore are able to start a new job within two weeks. Unemployed persons in the LFS are not defined equally to unemployed persons in the registered unemployment. Despite this fact, there will be overlaps between the two statistics if the unemployed persons in the registers also meet the criteria defined in the LFS. Groups that will be present in both statistics are the following: , - , Net unemployed, : Persons who are actively seeking for and are ready to start a job (so-called match group 1), who receive unemployment benefits or social assistance and furthermore fulfill the criteria of LFS unemployment., - , Activated persons, : Persons in activation who receive unemployment benefits or social assistance and who are ready to start a job (match group 1) and furthermore fulfill the criteria of LFS unemployment. The net unemployed together with the activated persons ready to start a job form the group of , gross unemployment, .,  Other groups that will not be included in the registered unemployment but will be included in the LFS are:, - , Students, : This group will typically not be included in the registered unemployment, while this group receives educational support (SU) which is not an unemployment benefit. If students, as well as other persons, fulfill the definition of unemployment in the LFS, they are included in the LFS unemployment.   , - , Other LFS-unemployed, : Other LFS-unemployed is a group that can contain all the persons who fulfill the definition of unemployment in the LFS, but are not gross unemployed or students. This group is very inhomogeneous. Some of the typical groups will be unemployed who are not able to receive unemployment benefits or social assistance (i.e. because of their spouse’s income or because of a missing membership of an unemployment insurance or unemployed who are not ready to start a job (match group 2 and 3), but have still not surpassed to early retirement etc. and hereby left the workforce)). , Read more about the concept of unemployment in LFS and other statistics , Paper on Unemployment in LFS and other Danish statistics, (Danish version) and for an overview , Unemployment concepts, (Danish version)  , • , Outside the labour force are:, er: Persons, who neither comply with the employment definition, nor the unemployment definition. This could be minors, pensioners and students, who either do not have a job or have actively been seeking for a job.  , Other central concepts for the LFS are:, • , Reference week, : The specific week that the respondent is asked about. Whether you are employed or LFS unemployed, how many hours you have worked during the week etc., is related to the specific reference week. The date of the interview can be up to four weeks after the reference week, typically 1-2 weeks after. There are 13 reference weeks per quarter.,  • , Weighting method, : The way in which the sample is weighted to the entire population, in order to make the results as representative as possible. It is always weighted figures that are being published. The method of weighting practically means that each person participating in the LFS gets his or her own weight and hereby represents a specific sample of the population with regards to sex and age. The method of weighting has been revised several times over the years (read under “Documentation/Method” for more information).,  • , Sample bias (uncertainty), : This covers the general uncertainty connected to sample based surveys as the Labour Force Survey. The uncertainty is approximately +/- 10,000 persons on the general quarterly unemployment figure and approximately +/- 20,000 persons on the general quarterly employment figure.,  • , Seasonal adjustment, : A method that removes yearly recurrent patterns in the three time series: employment, unemployment and people outside the labour force. There is not introduced seasonal adjustment on more disaggregated levels. The purpose of seasonal adjustment is to take into account i.e. unemployment or employment caused by seasons that can affect the development.,  • , Working time, : The Labour Force Survey asks about three different types of working time in a specific reference week; usual, contractual and actual working hours. For more information about working time read , Paper on Working time in LFS and other Danish statistics, (Danish version), Other relevant statistics, Statistics Denmark is also publishing register based statistics compiling the population’s labour market status. For further details see the subject pages and the papers present on this site., For more information on the Register-based labour force, employment (RAS) , Labour force participation, For more information on the registered unemployment , Unemployment, For more information on the statement of employment in RAS, the Working Time Accounts (ATR) and Public Sector Employment (BFL) , Employment, Time Series, Here it is possible to get a description of the developments and breaks in the time series that have been analyzed more in-depth. There will be general information about the time series and short presentations of i.e. the employment series, unemployment series and the working time series., The LFS has been conducted since 1994 and in general it is possible to compile consistent time series based on LFS data going back to 2000. Continuous LFS tables from 1996 and onwards are available from Statistics Denmark’s database StatBank Denmark. However, following adjustments in the method of weighting, changes have been made in some data series. As a consequence, these cannot be used in monitoring developments in specific quarters or years. Developments in long durations of time can however be applied., It is furthermore possible to find yearly data for some selected estimates back to 1983 at Eurostat’s Stat bank. However the yearly data between 1983-1993 are based on results from the 2nd quarter and should therefore be treated with caution. , The employment series, In Statbank Denmark, you can find more data on Labour force status (AKU110A),  , The employment series measure how many persons are employed having minimum 1 hour of paid work or are temporary absence in the reference week. As figure 1 shows the total employment in 2000 initially was 2,700,000. The following two years until 2003/2004, employment is relatively stable. In 2004 the employment raises with 23,000 persons compared to 2003, which indicates a raise on 0.9 percentages. It is important to notice that the employment series was affected in 2003 when a new method of weighting was implemented, and the stratification of the sample was changed. Both these conditions made the number of employed persons rise and are the reason for the development from 2003-2004., In 2007 the sample was expanded and the panel structure changed, and furthermore data from 2007 and forthcoming have been revised on the basis of the method of weighting from 2011. This has led to a decrease in the estimated number of persons employed. The decline in the employment in the period of 2006/2007 is untypical, since the employment rises from 2005-2006 and again from 2007-2008. Consequently, caution should be made with respect to drawing conclusions on the basis of the development between the years 2006 and 2007, especially with regards to subgroups, while longer time series can be concluded upon., More details about the development in employment , Paper on Employment concepts in the Labour Force Survey, National Accounts and Working Time Accounts, The unemployment series, In Statbank Denmark, you can find more data on Labour force status (AKU110A), The unemployment series in the LFS is built upon the ILO definition of unemployment, where a person is unemployed if he or she is not employed in the specific reference week. Besides fulfilling this criterion, furthermore it is demanded that the person is actively seeking a job and is able to start working within 14 days. If the person does not fulfill these criteria, one is categorized as being outside the labour force and not LFS unemployed., At the same time one should take notice of the revisions in the method of weighting in 2003, 2007 and 2011. The latest revisions from 2011 revise the figures back to 2007., Consequently, caution should be made with respect to conducting analyses directly on the basis of the developments over the years 2003/2004 and 2006/2007, especially with regards to sub groups. In longer time series the before mentioned periods are not so problematic., More details about the development in unemployment , Paper on Unemployment in LFS and other Danish statistics, (Danish version), The educational series, The education series is also affected by the discontinuity in data series from 2006 to 2007. The percentage of the population aged 30-34 years with a higher education fell from 2006 to 2007 from 43 to 38 percentages. The percentage has risen since then and in 2009, 2010 and 2011 the percentage was once again above the 2020-goal (40 percentage). This development is a consequence of the 2011-weigthing method that has a better correction with regards to the bias on education caused by age. , This remarkable shift is first of all caused by the change in method of weighting in 2007. Before 2007 the LFS tends to have an overrepresentation of persons with higher education. With the implementation of the latest method of weighting from 2011 (that is revised back to 2007), the educational level falls. From here on the level of education in the LFS is more in compliance with the level of education in the register of education. The fall from 2006-2007 is thereby not a real decline in the educational level., For the educational series, the changes caused by the method of weighting are so significant, that one cannot make long-term analysis over the years 2006-2007. Therefore it is recommended to initiate time series in 2007., More details about the development in the educational series , Paper on the development in the educational level in the LFS , (Danish version), The working time series, The development in the average working time in the LFS (in hours), In Statbank Denmark, you can find more data on Average weekly hours of work in main job (AKU410A), In the Danish LFS there are three types of working time; the contractual, usual and actual working hours. The working time series do not contain any substantial changes in connection with the adjustment in 2006/2007 in general. However, this is not the case for the working time for persons aged 15-24 years. The average estimated working time has increased by one hour for persons aged 15-24 years from 2006 to 2007, which probably is due to the method of weighting. This must be taken into account in the case of long time series for the working time of young people. In line with this change, there has also been a shift from the group of persons working “1-15 hours” to the group of persons working “38-48 hours” among young people. However, this is primarily the case between the 4th quarter of 2006 and the 1st quarter of 2007. Subsequently, there is again a fall that is instrumental in reducing the general change in the level, which implies that the shift is problematic only to a minor degree., More details about the development in the working time series , Paper on Working time in LFS and other Danish statistics, (Danish version), Tailor-made analyses, Here it is possible to gain information on tailor-made analyses coupled to the LFS. One can include questions in the Danish LFS as an add-on module and furthermore it is possible to ask for special analysis on existing data., What are your needs?, If your organization or firm is in need of new or updated knowledge about the labour market e.g. social engagement, working time or undeclared work, the LFS is a straightforward alternative to initialize a survey from point zero., How can you use the LFS?, The Labour Force Survey makes it possible to carry out special analyses that are based on the regular analyses of the LFS i.e. by introducing questions or tailor-made analyses., In this regard, tailor-made analyses, are specific operations of data from the LFS that are not published elsewhere (i.e. in Statbank). An example of this could be the number of part-time employees that works nighttime in the capital area or how many people with the highest educational level that are currently working on temporary basis etc., Special analyses, cover variables defined by the user that are included in the questionnaire as an add-on module. These variables can be measured against all other variables from the LFS as well as variables from registers. An example of this could be the number of working accidents or the satisfaction one has with the membership of a union etc. This can be linked to the additional results from the LFS. Special analyses will be developed in close connection with the staff of the Danish LFS. , Read more about our guidelines and policy for add-on modules (in Danish). , Politik for tillægsmoduler,  ,  ,  , More information, For further information about the LFS feel free to contact us: +45 39 17 34 00 or write an email to one of the employees from the Labor Force Survey.

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