Search result

LIGEAI3: Gender equality indicator on employed persons

industry (DB07), indicator and time
2008-2024 (-)

https://www.statbank.dk/LIGEAI3

Tables in StatBank

LIGELI2: Gender equality indicator of gender pay gap

indicator, occupation, age and time
2010-2024 (Per cent)

https://www.statbank.dk/LIGELI2

Tables in StatBank

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

Privacy policy

Privacy policy for the handling of personal data at DST Consulting , Respecting and protecting your personal data is of great importance to us. That is why we continuously focus on confidentiality and security and comply with the General Data Protection Regulation when we process the data., In this privacy policy, you can read about how we handle the personal data that you give us when as a customer you make a request for services or give your consent to receiving newsletters from us. ,  , 1. Who are responsible for treating and keeping your data, Statistics Denmark is responsible for the use and storage of your personal data:, Data controller:, Statistics Denmark, Sankt Kjelds Plads 11, DK-2100 Copenhagen Ø, dst@dst.dk, CVR – 17150413, Telephone +45 39 17 39 17, Data protection officer:, Amalie Stubdrup, databeskyttelse@dst.dk, Telephone +45 39 17 39 95 , 2. How we handle your personal data when you are a customer, Purpose:, When you contact us as a customer or potential customer to inquire about services or assignments, we process your personal data and your business data for the purpose of preparing offers and contracts and delivering and invoicing services in accordance with the existing agreement. In this way, the agreement is the legal basis for our processing of your data (the legal framework is Article 6, paragraph 1(b) of the General Data Protection Regulation). , Categories of personal data:, We process your professional contact information, including your name, occupation, telephone number, email and your business data. , Receivers of the data:, We invoice provided services via Navision Stat (the Agency for Public Finance and Management), which will consequently receive the name, CVR number, EAN number (if relevant) and address of your business as well as your name. All forms for ordering products and assignments at dst.dk/tilsalg are handled through a cloud-based add-on for our customer relations management system. This add-on is hosted by ClickDimensions, who has access to your name, business name, CVR number/EAN, business address, email, telephone number, occupation. Clickdimensions’ processing of Statistics Denmark customer data may involve transfer of data to the USA, which is covered by the EU-U.S. Privacy Shield framework agreement and to Israel, which is covered by EU Directive 95/46/EC. You can register for our courses via Nemtilmeld. To learn more about Nemtilmeld’s handling of your personal data, see the privacy policy for the individual course at the bottom of the course registration. , Where we get your data:, We primarily receive the personal data that we process from you. , How long we store your data:, For accounting purposes, we store your data and your business data for five years in accordance with the Danish Bookkeeping Act when you buy services from Statistics Denmark. Should your inquiry not lead to invoicing of a specific service, we typically store your data and your business data for 1-2 years for the purpose of possible later consulting. , 3. How we handle your personal data when you subscribe to our newsletters, Purpose:, When you subscribe to our newsletters, we process your personal data and, if relevant, your business data to be able to send you relevant news about our products and services. In this way, your subscription, i.e. your consent, constitutes the legal basis for our processing of your data. (The legal framework is Article 6, paragraph 1(a) of the General Data Protection Regulation). , Categories of personal data:, We process your professional contact information, including your name, email and, if relevant, your business data. , Receivers of the data:, The subscription forms for our newsletters are handled through a cloud-based add-on for our customer relations management system. This add-on is hosted by ClickDimensions, who has access to your name, business name and email. Clickdimensions’ processing of Statistics Denmark customer data may involve transfer of data to the USA, which is covered by the EU-U.S. Privacy Shield framework agreement and to Israel, which is covered by EU Directive 95/46/EC. , Where we get your data:, We have the personal data that we process from you. , How long we store your data:, Statistics Denmark stores your personal data for as long as we have your consent. , The right to withdraw your consent:, You are entitled to withdraw your consent at any time. You can do so by clicking the unsubscribe link in one of our newsletters or via our subscription page www.dst.dk/consulting-nyt. If you choose to withdraw your consent, it does not affect the legality of our processing of your personal data based on your previously communicated consent and prior to your withdrawal. So if you withdraw your consent, it is not effective until the time of withdrawal. , 4. How we handle your personal data when you are a business partner, including suppliers, Purpose:, When we engage in a cooperation process or a dialogue with you about a potential partnership, including delivery, we process your personal data to be able to send you emails or communicate with you, e.g. to be able to pay for your services. We process your data as part of our duties as a public authority and in the public interest. (The legal framework is Article 6, paragraph 1(e) of the General Data Protection Regulation). , Categories of personal data:, We typically process your professional contact information, including your name, occupation, telephone number, email and your business data. , Receivers of the data:, In general, we do not disclose the personal data of our business partners. Only if you are a supplier, we pay for your services via the systems Indfak and Navision Stat (the Agency for Public Finance and Management), which will consequently receive the name, CVR number, EAN number (if relevant) and address of your business as well as your name. , Where we get your data:, We primarily receive the personal data that we process from you. , How long we store your data:, Statistics Denmark stores your personal data as a business partner for as long as the cooperation continues and no longer than one year after it ends, in case it is resumed, unless we are legally obliged to store the data for a longer period of time. If you are a supplier, we store your data for as long as the delivery agreement continues and for five years after termination of the agreement in accordance with the Danish Bookkeeping Act, unless we are obliged by other statutes to store the data for a longer period of time. , 5. How we handle your personal data when you participate in an international consulting project, Purpose:, When we are in contact with you as an existing, future or potential project participant, we process your personal data and/or your business data for the purpose of preparing offers and contracts and delivering and invoicing services in the project in accordance with the concluded agreement. In this way, the agreement is the legal basis for our processing of your data (the legal framework is Article 6, paragraph 1(b) of the General Data Protection Regulation). , Categories of personal data:, Expert, project assistant, interpreter or representative of local business partner, We process your contact and professional data, including your name, date of birth, personal ID (e.g. CPR no.), telephone number, email, nationality, sex, passport details, occupation, education, work experience, qualification details and, if relevant, your bank and/or business data. , Expatriate adviser, We process your contact and professional data, including your name, date of birth, personal ID (e.g. CPR no.), telephone number, email, nationality, sex, passport details, occupation, education, work experience, qualification details and, if relevant, your business data., For expatriates and any accompanying family, we also process data about health conditions for the purpose of taking out an expatriate insurance policy under the terms of the contract. , Representative of donor organisation, We process your contact and professional data, including your name, telephone number, email and occupation., Receivers of the data:, In connection with your participation in international advisory projects, we may share your personal data with other institutions and authorities in and outside Denmark., Any general personal data we receive on you as a project participant is included in offer and contract. Accordingly, the donor organisation of the project as well as the local business partner receive this data., If you are a project participant with a business of your own, we will pay your invoices via Navision Stat (the Agency for Public Finance and Management), which will consequently receive the name, CVR number, EAN number (if relevant) and address of your business as well as your name., If you are a representative of a donor organisation, we issue invoices to your organisation via Navision Stat (the Agency for Public Finance and Management), which will consequently receive the name, CVR number, EAN number (if relevant) and address of the organisation as well as the name of the representative from the donor organisation., If as a project participant you receive fees for your services via SLS (the government’s payroll system), SLS will receive your name, address, CPR number and banking details., As a local project participant (e.g. interpreters and project assistants), you will be paid a fee for your services via a local bank, which receives your name, address and account details., If as a project participant you need to get a visa with the assistance of Statistics Denmark, we will share your passport details and any general personal data with the passport-issuing embassy or the company that can manage the visa application. , In most cases, international advisory projects pertain to cooperation with countries defined as insecure third countries in the General Data Protection Regulation. We will only transfer your personal data in cases where compliance with the contractual obligations and consequently your work and the completion of the project depends on it. The work with international advisory projects is of major public interest as stipulated by the Act on Statistics Denmark. For this reason, the transfer of personal data to insecure third countries falls within Article 49, paragraph 1(d) of the General Data Protection Regulation. For projects funded by the EU, any transfer of personal data to other institutions, regardless of country, additionally falls within Regulation (EU) 2018/1725 (IDPR)., To take out an expatriate insurance policy, the insurance company GOUDA will receive the health information we received about you and any accompanying family that you may have, if you are an expatriate adviser., Where we get your data:, We primarily receive the personal data that we process from you or your employer., How long we store your data:, If you participate in a project funded by the EU, for documentation purposes for subsequent auditing, we store your general personal data physically and electronically for seven years after the closing of the project in accordance with EU’s “, Practical Guide for Procurement and Grants for European Union external actions” (PRAG)., If you participate in a project funded by other donor organisations, for accounting purposes and for subsequent auditing, we store your general personal data physically and electronically for five years after the closing of the project in accordance with the Danish Bookkeeping Act, unless our contractual terms with the donor organisation stipulates otherwise., If we help you with your visa application, we will store your passport details and personal data entered in the application until a visa is issued, after which we will delete the data physically and electronically., We will delete any health information we may receive from you in order to take out expatriate insurance as soon as we have transferred the information to GOUDA.,   , 6. Your rights, Danish legislation on the protection of personal data gives you the right: , to acquire knowledge to a great extent about the personal data of yours that we process. , to object to the collection and further processing of your personal data. , to have your personal data revised and to limit our processing of your personal data. , in certain cases, to have your personal data deleted. , in certain cases, to request a copy of your personal data. , If you want to exercise your rights, please contact us at , databeskyttelse@dst.dk, . , You can learn more about your rights in a guide (in Danish) from the Danish Data Protection Agency about the rights of registered persons at , www.datatilsynet.dk, . , Furthermore, you can lodge a complaint with the Danish Data Protection Agency, if you are not satisfied with our handling of your personal data. You can find contact information for the Danish Data Protection Agency at , www.datatilsynet.dk, ., 7. Data security, Statistics Denmark has high security standards. We have procedures to ensure that we live up to these standards and comply with the requirements for appropriate security measures in the legislation on the protection of personal data., We process personal data in accordance with Statistics Denmark’s general security measures described in Statistics Denmark’s information security policy and data confidentiality policy. In addition, we comply with the ISO27001 security standard.

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

Statistics Denmark's compliance with GDPR

Statistics Denmark’s compliance with GDPR, Statistics Denmark guarantees to protect data in our possession about citizens and companies. This means e.g. that the data is safeguarded and that it is used by Statistics Denmark for the sole purpose of statistics. Statistics Denmark has a strong focus on compliance with the data protection rules set out in the General Data Protection Regulation (GDPR) and the Danish Data Protection Act. The data protection rules apply when we process data about natural persons. The concept of “natural person” also includes sole proprietorships (businesses owned by one individual). This is because there is no practical way of distinguishing between data about the owner as an individual and data about the business., Personal data in statistics, Since 1850, Statistics Denmark has been a key to understanding Danish society. To produce the best possible statistics, we have access to data from administrative registers in public administration. Furthermore, we have a statutory authority to collect data from public authorities, the business sector and private individuals., We organise the data in databases for the statistical domains for which the data is required. This means that data about a person or a business are not all gathered in one place. The statistical basis relies on data about people and businesses. Statistics are aggregate data about groups of people or businesses from which facts about individual units cannot be identified. Before we publish a set of statistics, we make sure that it is not possible to disclose data about identifiable natural or legal persons by means of the statistics., Our Data Security Policy gives a detailed description of how Statistics Denmark ensures confidentiality regarding statistical data, while our Information Security Policy deals with security in general in Statistics Denmark. Our policies are available here., In a number of situations, Statistics Denmark acts as a data processor for a data controller. In order for data controllers to fulfil their obligations to supervise Statistics Denmark, Statistics Denmark each year commissions four external ISAE 3000 audit reports. The reports cover Statistics Denmark’s statistical production in general as well as that of three offices engaged in data for customers. These three offices are Research Services (data for research in a secure environment), DST Consulting (customised statistics) and DST Survey (data collection). The audit reports provide assurance for the data controller that Statistics Denmark processes the personal data for which the controller is responsible in a proper manner. The data controller can obtain an audit report by contacting us at databeskyttelse@dst.dk., Below is the answer to a number of questions that you may be curious about as a person registered in our statistics., 1. Who is the data controller and how do I get in touch?, Statistics Denmark is data controller of the processing made in connection with collection, production, development and dissemination of statistics. This means that we have responsibilities and obligations pursuant to the data protection rules regarding the personal data we have collected about you., Statistics Denmark has the following contact information:, Statistics Denmark, Sankt Kjelds Plads 11, 2100 Copenhagen, dst@dst.dk, CVR – 17150413, Phone +45 39 17 39 17, If you need to include sensitive or confidential personal data in your enquiry, we encourage you to send your enquiry to us via Digital Post. To do so, log in at Digital Post and select Statistics Denmark as receiver from the list of government agencies. You can also send us a letter., 2. How do I contact the data protection officer (DPO)?, Statistics Denmark has appointed a DPO who gives us advice e.g. on how to process data about you properly and in compliance with data protection rules regarding personal data., Our data protection officer (DPO) is Amalie Stubdrup and you may contact her at , databeskyttelse@dst.dk, or tel. +45 39 17 39 95., If you need to include sensitive or confidential personal data in your enquiry, we encourage you to send your enquiry to us via Digital Post. To do so, log in at Digital Post and select Statistics Denmark as receiver from the list of government agencies. You can also send us a letter., 3. Why does Statistics Denmark process data about me?, Statistics Denmark processes data about you for the purpose of producing and disseminating statistics on Danish society – either as part of official statistics or on request and as part of a task of importance to society., In addition, we make pseudonymised data available for carrying out statistical or scientific surveys of importance to society. We are only allowed to disclose data for statistical or scientific purposes. The data may not be used for any other purpose, e.g. administrative, legal or tax purposes, or for decisions aimed at you., However, there are situations in which national law obliges Statistics Denmark to disclose data for administrative purposes. This is the case for the AUB’s statistics on FTE employees with vocational training in connection with calculation of the work placement dependent AUB contribution, and for the Public Benefits Administration’s assessment of length of service, which is necessary for calculating the right to early retirement, the so-called ‘Arne pension’., 4, What is the statutory basis for processing data about me?, Statistics Denmark processes personal data in compliance with the provisions in Act on Statistics Denmark, the General Data Protection Regulation (GDPR) and the Danish Data Protection Act., The legal basis for Statistics Denmark’s processing of personal data for statistical purposes is article 6(1)(e), article 9(2)(j), article 10 of the GDPR and sections 10 and 11(1) of the Danish Data Protection Act., In cases where Statistics Denmark discloses data for the purpose of production by others of statistical or scientific surveys of significant importance to society, ministerial order no. 1509 of 18 December 2019 on disclosure of personal data under section 10(1) and (2) of the Danish Data Protection Act also applies., Statistics Denmark’s obligation to disclose data for the purpose of the AUB’s statistics on FTE employees with vocational training is laid down in section 2 of the ministerial order no. 233 of 22 March 2018 (on AUB’s education register for statistics on FTE employees with vocational training, which is used to calculate employers’ contribution to the work placement programme)., Statistics Denmark’s obligation to disclose data to the Public Benefits Administration for the purpose of assessing length of service is laid down in section 12 of act no. 2202 of 29 December 2020 (act to amend the act on social pension and various other acts (implementation of a right to early retirement))., 5. Where does the data about me come from?, Statistics Denmark collects personal data through:, Public registers, Statistics Denmark is charged with producing, developing and disseminating statistics in Denmark to focus on matters of public interest. This is why Act on Statistics Denmark gives us authority to collect data from public registers. For example, Statistics Denmark receives data from the Civil Registration System, the Ministry of the Interior and Health, the Danish Motor Vehicle Agency’s motor vehicle register, and the Danish Tax Agency’s eIncome register., Reports from public authorities and institutions and economic operators, Act on Statistics Denmark gives us the authority to instruct public authorities and institutions to inform us of the data they have in their possession., The Act further gives us the authority to instruct economic operators to impart specific data with us that they have in their possession. In sections 8-12 of the Act, you can read about the data concerned., Voluntary interview surveys, Furthermore, Statistics Denmark communicates with private individuals in order to collect data. When Statistics Denmark contacts private individuals, their participation is always voluntary. The Labour Force Survey is an example of a survey in which we ask private individuals to participate. We randomly select the people whom we invite to participate. Such responses are of great value, as they form the basis of statistics of great significance to society., 6. What categories of personal data about me does Statistics Denmark process?, Statistics Denmark collects the following categories of personal data for the purpose of producing statistics:, general data – e.g. ownership of property, data about unemployment, or data about your marital status, , special categories of data – e.g. contact with the psychiatric treatment system, , data relating to criminal convictions and offences – e.g. data about a sentence registered in the central register of criminal offences, as well as , data about your civil registration number. , 7. To whom does Statistics Denmark disclose personal data, and who has access to the personal data?, Employees of Statistics Denmark producing statistics and with a work related requirement have access to personal data related to the relevant set of statistics to be produced. The employee only has access for the period of time that is necessary for producing the statistics. None of Statistics Denmark’s employees has access to all pieces of data about you., Statistics Denmark may disclose data about you to others who produce statistical or scientific surveys of significant importance to society. By default, data will be pseudonymised, i.e. data may be combined with other sets of data, but individuals will not be immediately identifiable. Consequently, no one working with pseudonymised data will know that data about you are part of the set of data. Only in exceptional cases will we disclose the data in a format that allows the data to be immediately traced to you., Statistics Denmark may disclose data about you to others who produce statistical or scientific surveys. This happens via the researcher programme, the authority programme and the law model programme, where the data is pseudonymised to prevent it from being traceable to identifiable individuals. In addition, Statistics Denmark makes personal data available via data warehouse programmes, where data is aggregated or pseudonymised before it is displayed., ’DST Survey’ is a division under Statistics Denmark that collects data via interviews and questionnaires on behalf of customers. These results are disclosed as pseudonymised data to the customer who is responsible for the data collection. Before you start an interview or respond to a questionnaire, you are informed on whose behalf the survey is made and for what purpose the data will be used., When we no longer need to store data about you, it may be transferred to the national archives, Rigsarkivet, in accordance with the statutory rules on archives., 8. Does Statistics Denmark disclose data about me to a third country?, Statistics Denmark discloses data to the official statistics authorities in Greenland and in the Faroe Islands., The data for the statistical authority of Greenland is about the highest educational attainment of people residing in Greenland. The disclosure happens for the purpose of the Greenlandic statistical authority’s production of statistics. The disclosure is based on general provisions on the protection of data adopted by the European Commission describing the required and appropriate safeguards., The data for the statistical authority in the Faroe Islands is about persons residing in the Faroe Islands and the Faroese residing in Denmark regarding their education, employment, income and health.  The disclosure happens for the purpose of the Faroese statistical authority’s production of statistics. The disclosure happens on the basis of the EU Commission’s adequacy decision. This means that the EU Commission has assessed that the level of protection with regard to personal data in the Faroe Islands corresponds to the level of data protection in the EU/EEA., 9. For how long does Statistics Denmark store the data?, Data that we collect for the purpose of producing statistics are not deleted. This is so because we must be able to produce statistics showing developments and changes over time. The data is stored for production of time series., 10. What rights do I have?, In the case of Statistics Denmark’s processing of personal data about you for statistical purposes, you cannot assert your right of access, to rectification, erasure, restriction, objection and data portability (right to receive your personal data in a structured, commonly used and machine-readable format)., This is due to article 89(2) of the General Data Protection Regulation stipulating that the individual countries may provide opt-outs for the rights of those registered when it comes to processing for statistical purposes. Section 22(5) of the Data Protection Act stipulates that articles 15 (right of access), 16 (right to rectification), 18 (right to restriction of processing) and 21 (right to objection) of the regulation do not apply if the data is processed solely for scientific or statistical purposes., Article 17 of the regulation regarding the right to erasure does not apply to the extent that the processing is necessary for statistical purposes, cf. article 17(3)(d)., Likewise, the right to data portability in article 20 of the regulation does not apply in Statistics Denmark, as the right can only be asserted when the processing is made automatically and is based on consent or a contract. Statistics Denmark’s processing is in pursuance of article 6(1)(e) on the performance of a task in the public interest or falling within the exercise of public authority imposed on the data controller, in which case the right to data portability is thus not applicable., 11. Do I have complaint options?, If you believe that Statistics Denmark’s processing of personal data about you is not carried out in compliance with the data protection rules, you have an option to file a complaint to the Danish Data Protection Agency., You can read more about this on , the Danish Data Protection Agency’s website, , or contact them at +45 33 19 32 00.

https://www.dst.dk/en/OmDS/strategi-og-kvalitet/datasikkerhed-i-danmarks-statistik/danmarks-statistiks-efterlevelse-af-gdpr

Participation in sports

How many members are there in Danish sports associations? Which sports have the highest membership?

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/idraet/idraetsudoevelse

Subject page

Producer and import price index for commodities

Hvad er udviklingen i producenternes salgspriser og importørernes købspriser? Hvad er prisudviklingen for udvalgte varegrupper såsom; jern og stål, træ eller plast?

https://www.dst.dk/en/Statistik/emner/oekonomi/prisindeks/producent-og-importprisindeks-for-varer

Subject page

Income distribution

Is income inequality high or low in Denmark? What is the Gini Coefficient? And how is the development in relative poverty?

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/indkomst-og-loen/indkomstfordeling

Subject page

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 15-74 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 15-74 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., Read: , International definitions,  , 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 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. 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., Advantages, By using the LFS to get your specific subjects examined, you will have access to the staff of the LFS’ expertise, infrastructure, our respondents and other data., We can promise a flexible solution that suits you well. We are able to deliver data three months after the quarter terminates., The costs, The prize of tailor-analyses is depended on the numbers of interviews, the audience, the panel structure, which quarter is chosen, as well as the preparations and the complexity of the questions (simple or complex).,  , 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.

https://www.dst.dk/en/Statistik/dokumentation/metode/aku-arbejdskraftundersoegelsen

Dansk Branchekode DB93, v2:1996

52.61.00: Retail sale via mail order houses

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/db07?id=88fc5d24-3b9e-4dfa-ae3f-75e0a1baf736