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ITAV21: Enterprises use of information sharing and invoicing (10+ employees)

activity, activity (NACE REV2), enterprise size and time
2008-2025 (Per cent)

https://www.statbank.dk/ITAV21

Tables in StatBank

VBBQ: Versionstable BBQ - Balance of payments quaterly

version, items, receipts/expenditure, country and time
2005Q1-2025Q2 (m DKK)

https://www.statbank.dk/VBBQ

Tables in StatBank

BIL83: Families disposal of vehicles

unit, family type, pattern of availability and time
2000-2025 (Per cent)

https://www.statbank.dk/BIL83

Tables in StatBank

Disability care

Introduction, The statistics Disability and marginalized adults, The statistics Disability and marginalized adults contain data on selected services in the Act on Social Services, provided to adults with disabilities or marginalized adults.  The purpose of the statistics is to present the number of services and recipients as well as linking this with information about the recipients’ background and living conditions. There is also information about the recipient's target group, i.e. whether the person receives a service because of physical impairment, cognitive impairment or mental illness. The individual service may be provided based on several different target groups. The statistics have been produced since 2015 and contain data from the 4th quarter of 2013 and onwards., Data are published annually. , The Statistics include the following services in the Act on Social Services. Where no other law is mentioned in the text below, the law referred to is the Act on Social Services.  Please note that the symbol § is used for sections, which is customary in Danish legislation., Activity and social life offers (§ 104) , Treatment (§ 102) , Sheltered employment (§ 103) , Lengthy stay in housing with care and support, §§ 83, 85 (§ 108) , Temporary stay in housing with care and support, §§ 83, 85 (§ 107) , Social pedagogical support in housing facilities similar to such facilities as regulated in § 85, covered by the act Lov om socialtilsyn § 4, stk. 1, nr. 3, for instance, housing facilities in accordance with the §§ 105 and 115 in the act lov om almene boliger m.v. , Social pedagogical support not given in housing facilities similar to such facilities as regulated in § 85, but, for instance, in the person's home , Self-managed personal assistance (§ 96) , Contact person for deaf-blind people (§ 98) , Attendant scheme (§ 97) , Subsidies in cash to hire an assistant, § 83, 84 (§ 95) , Offer of group-based assistance and support (§ 82 a), Offers of individual, temporary socio-pedagogical assistance and support (§ 82 b) , Statistics on disability compensation services for children and young people, The statistics on disability compensation services for children and young people contain information about the municipalities´ grants of selected services for children and young people in accordance with the Danish Act on Social Services Act (SSA). , It is the first time that these statistics are being published, with the aim of following developments and securing data and statistics, in the area of children and young people who receive disability compensatory services. The statistics highlight the number of children and young people, who receive disability compensatory services, as well as the number of services the municipalities have approved. There is information on the age and gender of the recipient of disability compensatory services. The individual child / young person can receive several services at the same time. , The statistics have been developed since 2022 and the publication of the statistics will be on an annual basis., The sections and paragraphs that form the basis of the statistics, deal with measures to children and young people who, due to significant and permanently reduced physical or mental capacity, are in need of help or special support. , The following sections of the Danish Act on Social Services form the basis of the statistics: , Special day care for children (SEL § 32), Home training of children (SEL § 32a), Special club offers for older children and young people (SEL § 36), Personal help and care (SEL § 44 cf. § 83), Supersede or relief of parents or other close relatives (SEL § 44, cf. § 84, subsection 1), Help to maintain physical or mental skills (SEL § 44, cf. § 86, subsection 2), Accompanying arrangement for children and young people between the ages of 12 and 18 who cannot travel alone (SEL § 45)  , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Benefit to disability car, Disability services for children and young people, Reusable assistive products, Services to adults with disability and marginalised adults, Social resources, Key figures, In Statbank Denmark, you can find more data on Disability measures for children between 0-17 years (HANDBU04), In Statbank Denmark, you can find more data on Benefit to disability car (HANDBIL1), Related content in Disability care, Tables in Statbank , Scheduled releases , Contact, Handicap og udsatte (voksne), Phone: +45 39 17 31 40, Mail: , handicap@dst.dk

https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette/handicapomraadet

Subject page

Drug abuse treatment

On this page, you can find information about drug abuse treatment in Denmark. There are numbers on the number of people in drug abuse treatment given by the municipalities. Privately paid treatment is not included in these statistics, just as people in anonymous substance abuse treatment are not included either. It is also possible to see figures of the number of new treatment courses and the number of courses, where the treatment guarantee was exceeded., Persons in drug abuse treatment, This graph show the number of women and men in drug abuse treatment., In Statbank Denmark, you can find more data on Drug abuse treatment (SMDBV003), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Drug abuse treatment courses, This graph show the number of new drug abuse treatment courses, In Statbank Denmark, you can find more data on Drug abuse treatment (SMDBV004), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Persons in drug abuse treatment by municipality, This map show the number of persons in drug abuse treatment by municipality, Get your own statistics in the Statbank about Drug abuse treatment (SMDBV002), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Exceedances of the drug treatment guarantee, This map shows how many instances the municipalities have exceeded the treatment guarantee of 14 days from request to initiation of treatment., Get your own statistics in the Statbank about Drug abuse treatment (SMDBV004), More about the figure, Last update, 13.6.2025, Next update, 15.6.2026, Source data, Reports from the municipalities and drug abuse treatment centers. From January 1, 2024, it is only mandatory to report for drug abuse offers that have authorization to report on behalf of a municipality., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Drug Abuse Treatment, The purpose of the statistics is to shed light on drug abuse treatment in Denmark provided by municipalities to citizens under Section 101 of the Social Services Act, Section 142 of the Health Act, and Section 33 of the Child Act. The statistics are used, among other things, to account for the number of citizens in drug abuse treatment, the number and types of drug abuse treatments, and to monitor adherence to the 14-day treatment guarantee from request to initiation of treatment. The statistics have been published since 2015 and are comparable throughout the period, but significant improvements in data quality have been made continuously. In this release, all municipalities have approved their reports for 2021-2024., Read more about sources, method and quality in the documentation of statistics on Drug Abuse Treatment, Need more data on Drug abuse treatment?, For more information, see StatBank, where you can find detailed data for instance on the number of requests, initiations and ended treatment courses, persons in treatment below and over age of 18 years of age, number of courses with exceedances of the drug treatment guarantee compared to new treatment courses in total and data about status at ended treatment course., Go to the StatBank, Contact, SMDB-support, Phone: +45 39 17 34 90, Mail: , smdb@dst.dk

https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette/stofmisbrugsbehandling

Subject page

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in Denmark's Data Portal. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Research Services must create the population, If Research Services is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in Denmark's Data Portal, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Research Services have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Research Services prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Research Services uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Research Services creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or additional data to be used , Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Research Services uses the term `case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in Denmark's Data Portal, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Research Services, we prepare a detailed extraction description of the case control population. The final extraction description is attached as an appendix to the project proposal. Please note that Research Services only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/populationsbeskrivelse

Access to business data

Business data refers to data on Danish enterprises and Danish trade and industry. This page gives an overview of who can get access to business data from Statistics Denmark and the possibilities to apply for an exemption to get access. , Business data and business data with limited access, Business data from Statistics Denmark covers a wide range of data on industries and data on the size, location, accounts, employment, development over time, etc. of Danish enterprises. Some types of business data involve competition- and market-sensitive information, which is why access is limited. For example when data concerns the activities or financial affairs of enterprises., See the overview of business data with limited access in Statistics Denmark (Excel, in Danish) , Note, : To protect competition- or market-sensitive information, business data with limited access is not available until at least one year after the reference year., Business data – who has access?, A person can get access to all (pseudonymised) business data in Statistics Denmark, including business data with limited access, if that person has an approved association agreement with a Danish institution that is authorised under Statistics Denmark’s Research scheme and that is , a Danish public institution, or , a private Danish institution in the category “interest organisation, think tank, etc.”, ‘Danish institution’ means an institution within the national community of Denmark, Greenland and the Faroe Islands. You can find the special rules for Greenland and the Faroe Islands under , Authorisation of institutions, ., Business data with limited access – who does not have access?, Generally, people employed in Danish private consultancies may not get access to business data with limited access., People employed by other Danish or foreign private companies (such as banks, pension funds and insurance companies) or by foreign consultancy firms are not permitted to access business data with restricted access., Business data with limited access – who can apply for an exemption? , In connection with specific projects, Danish private consultancies that do not have access in general to business data with limited access can apply for an exemption. This is only an option if:   , the data controller institution for the project is a public, Danish and authorised institution (see “a” above) or , the data controller institution for the project is a private and Danish institution in the category “interest organisation, think tank, etc.” (see “b” above) or, the data controller institution for the project is a public, Danish institution and an institution authorised as a client, which engages a private consultancy to perform an analysis for the institution for which business data with limited access is needed and the consultancy’s authorisation does not grant access to this data. , Read more under Authorisation of institutions, Apply for an exemption , If you are eligible to apply for an exemption (and thus comply with item 1, 2 or 3 above) and want to apply, please inform the project owner in Statistics Denmark early in the project proposal process. This ensures that the project owner can take this into consideration during the approval of the project proposal.  , Furthermore, you need to complete the request template from Statistics Denmark and send it to your project owner, when the project for which you are applying for business data with limited access has been approved., Template for request for exemption for business data with limited access (docx, template only available in Danish), Note, : The request template must be adjusted with your own official business stationery design, signed and sent (in Word or PDF format). If you need help filling in the template, for example purpose and description, you can consult Statistics Denmark’s guide on , how to create a project proposal, . , Request for exemption – how does it work?, For every request for exemption, Statistics Denmark makes a thorough assessment in four steps: , When the project proposal has been approved, the data controller institution completes a request template, adapt it with their own official business stationery design, sign it and send it to the project owner in Research Services., The project owner in Research Services assesses if there are grounds for an exemption. Note: The criteria for approval are the same as for a project proposal. , Read more in How to create a project proposal, The project owner in Research Services sends the request for exemption for approval by the Director General of Statistics Denmark., When the request for exemption has been approved, the approval is returned to the data controller institution and the consultancy charged with the task., If you have questions about exemption, please contact , Forskningsservice@dst.dk, or your project owner in Research Services. In the subject field, you should write: , ’Project number xxx - Re. exemption with respect to business data with limited access’, .,  

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/adgang-til-erhvervsdata

About microdata schemes

Statistics Denmark’s Research Services makes data available to authorised institutions for specific research, fact-finding and analytical tasks. Access to data can be granted under various data schemes depending on the institution or the project to which you seek access., The researcher scheme , Researchers and other analysts from authorised institutions can create a project with access to Statistics Denmark’s register data. , Read more about authorisation of institutions, The project database scheme , The project database scheme is intended for institutions that are continuously creating projects with significant overlap in data content. Under this scheme, it is not allowed to carry out research directly on the project database, and the scheme must not be used for projects or tasks that are not directly related to the purpose of the project database. Furthermore, the institution must have one or more employees at who can serve as project database managers, of whom at least one can functions as an administrator. The duties of the project database manager include population generation, data extraction etc. as well as ongoing communication with Statistics Denmark., If you want to apply for a project database to be set up, you must contact the Project database group at , FSEProjektdatabase@dst.dk, ., More on the project database scheme, An authorised institution can have a maximum of one project database. The project database is a collection of pseudonymised microdata. It is used over time for multiple projects (called subprojects) under the relevant project database scheme., For the project database, data is selected from Statistics Denmark’s databank of basic data and, if relevant, data from other sources (such as the institution’s own data). The data content in project databases is subject to the data minimisation principle, and for that reason, data in a project database must be applied in several subprojects., In the project database scheme, the project database is called the main project. Other projects in the project database scheme are subprojects of the project database. The authorised institution that owns the project database therefore owns both the main project and the subprojects in the scheme., The target group of the project database scheme is institutions that:, are authorised for microdata schemes at Statistics Denmark., have at least five active projects with significantly overlapping data., continuously extend their project portfolio with new subprojects with significant overlap in the underlying data., Terms of a project database scheme, Project databases are subject to the following terms:, The institution is required to appoint one to three experienced project database managers who will be the assigned liaison officers with Statistics Denmark. Only project database managers get access to the actual project database., The project database and subprojects are subject to the data minimisation principle., The user must pay for all costs associated with the creation, operation and maintenance of the relevant project database. Subprojects are considered regular projects and are handled and invoiced separately., You can keep a project database going for as long as it is used for active subprojects. The project database can only be preserved as long as it is used for subprojects to an extend that is consistent with the data made available in the project database. The project database can thus be limited or discontinued if Statistics Denmark estimates that this is no longer the case., The authority scheme, The authority scheme makes microdata available to Danish institutions that carry out tasks for the authorities, i.e. departments, agencies and directorates, regions and municipalities. The scheme meets the demand for ad hoc analyses with tight deadlines. , Read more about the Authority scheme,  (in Danish), Data confidentiality and access rules, Access to data is given in agreement with the principles of the General Data Protection Regulation, especially article 5(1)(c): , “Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (‘data minimisation’).” , This also applies to section 10 of the Danish Data Protection Act: , “Data as mentioned in Article 9(1) and Article 10 of the General Data Protection Regulation may be processed where the processing takes place for the sole purpose of carrying out statistical or scientific studies of significant importance to society and where such processing is necessary in order to carry out these studies.” , Read more on Statistics Denmark’s Data confidentiality policy and Information security policy 

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

Documentation of statistics: Benefits during sickness or in connection with childbirth (Discontinued)

Contact info, Labour Market , Torben Lundsvig , TLU , TLU@dst.dk , Get documentation of statistics as pdf, Benefits During Sickness or in Connection with Childbirth 2019 , Previous versions, Benefits During Sickness or in Connection with Childbirth 2018, Benefits During Sickness or in Connection with Childbirth 2017, Benefits During Sickness or in Connection with Childbirth 2016, Benefits During Sickness or in Connection with Childbirth, Benefits During Sickness or in Connection with Childbirth 2013, The purpose of Benefits in connection with sickness and childbirth is to illustrate the use of the law on sickness respectively maternity law. The statistics have been compiled since 1995, but in its present form comparable from 2003. From the year 2017, the statistics contain only information about sickness benefits because Udbetaling Danmark has taken a new administrative IT system for maternity allowance in use. Maternity benefits will be an independent statistics from 2020. , Statistical presentation, The sickness and maternity allowance is an annual statement of the number of persons, days and amounts paid in connection with illness or childbirth. From the year 2017 only information for unemployment benefit paid in connection with illness. The calculations are distributed according to the legal basis for the payment of unemployment benefits, age, sex and geography. In addition, figures from the daily allowance for sickness and birth are included in the statistics, Publicly Provided, where the extent of absence due to illness or maternity leave is included in a larger context. , Read more about statistical presentation, Statistical processing, Data comes from the two administrative registers The Administrative Joint-municipal Register for Sickness Benefits and the National Administrative Register for Childbirth Benefits (ended May 2017). When received there are some mechanical monitoring and doublets are removed. When estimating the duration of a case not having a finale date the final date is set to the last day of the year if the case is about sickness benefits. If the case is about childbirth benefits the final date is estimated as the starting date plus the average length measured in days of similar cases having a finale date., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining. The sickness benefit part of the statistic is together with the maternity and paternity leave part section mostly used as an important data element of Analyses of the Danish workforce productivity (economic modeling), Statistics Labour Market Accounts, Statistics Persons receiving public benefits and general absence statistics., Read more about relevance, Accuracy and reliability, The statistics summarize the reports of illness, birth or adoption that have triggered the payment of unemployment benefit. The expectation is that all sickness benefit issues with payment will be reported. Similarly, the expectation is that all cases of payment due to maternity leave, maternity leave or leave due to adoption are reported. Therefore, the statistics can be expected to be reliable. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in the month of March the year after the reference year. March is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old., Read more about timeliness and punctuality, Comparability, The statistics is influenced by local Danish law. The law of parental leave is unchanged since 2002 and it is possible to compare the figures back to 2003. Concerning sick leave there has been several adjustment making it more difficult to compare over time., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published s in the tables under the subject , Sickness benefits, and , Maternity benefits, In addition, the statistics include the Statistical Ten Year Overview., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefits-during-sickness-or-in-connection-with-childbirth--discontinued-

Documentation of statistics

Documentation of statistics: International labour cost indices (Discontinued)

Contact info, Personal Finances and Welfare , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, International Labour Cost Indices 2022 Quarter 3 , Previous versions, International Labour Cost Indices 2020 Quarter 1, International Labour Cost Indices 2019, International Labour Cost Indices 2015 Quarter 2, International Labour Cost Indices 2015 Quarter 1, International Labour Cost Indices 2014 Quarter 1, The purpose of publishing the international labour cost indices is to compare trends in earnings and other labour costs in the private sector in Denmark with trends in the EU countries and the US. The figures for the EU countries are collected from EU’s statistical office, Eurostat, which publishes the figures on their homepage on a quarterly basis. Eurostat collects information from each member state’s national statistical institution. The U.S. figures are collected by the U.S. Department of Labour, Bureau of Labor Statistics, which publishes their figures on their own homepage. , The international labour cost indices are not directly comparable with the national indices of average earnings., Statistical presentation, The indices are published on a quarterly basis to show developments of the Danish and other countries labour costs in an international setting. The figures from EU member countries are based on EU-harmonized regulations. It is expected that the harmonization will extend gradually over time. The numbers are not fully comparable to the Danish national indices of average earnings, which are collected and published quarterly. The international labour cost indices are exclusively published in Statistics Denmark’s quarterly news release , NYT fra Danmarks Statistik, entitled , International Labour Costs, , and where the EU-figures are collected from Eurostat database while the US figures stems from the Bureau of Labor Statistics (BLS) database., Read more about statistical presentation, Statistical processing, Data is collected from different sources where the data already has gone through statistical processing before being published., Read more about statistical processing, Relevance, The indices are used to compare and analyze how the Danish labour costs perform in an international setting, as it is an important indicator of the state of play of the Danish competitiveness compared to other countries. The statistics are therefore often mentioned in the daily news press and are often an important feature in the national public debate., Read more about relevance, Accuracy and reliability, As the methods used for collection and production of the indices differ in all the countries included in the international labour cost indices, it is only possible to make any conclusions on the accuracy and reliability of the Danish index., In general the reliability of the Danish labour cost index is, due to the size of the sample and the thorough search for errors which is performed, considered to be quite good. This is especially true in the case of the indices on the more aggregate level, such as for the whole business economy or the largest sectors of economic activity. For the smaller sectors of economic activity, the reliability is for natural reasons lower., Read more about accuracy and reliability, Timeliness and punctuality, The indices are normally published without any delay approximately 80 days after the turn of the quarter being measured. However the dissemination regarding 4th quarter 2019 was delayed due to lacking data on holiday payments, resulting from the transition period in implementing the Danish Holiday Act 2020. Please refer to the description of other uncertainties under S.13.3., Read more about timeliness and punctuality, Comparability, In 2008 Eurostat changed from using Industry Classification NACE Rev. 1.2 to NACE Rev. 2. Because of this, there is a slight change in the data belonging to the , the private sector, starting from 2008, which was also conveyed in the publications of the statistics. Before this change, the data included the class of industries C-F according to NACE Rev. 1.2. After the change, the sectors of economic activity covered are B-N according to NACE Rev. 2., Read more about comparability, Accessibility and clarity, The indices are only published in Statistics Denmark's news release , NYT, . The international figures are not available in the Statbank. The figures and other information can instead be found on Eurostat's or BLS' homepages or databases., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-labour-cost-indices--discontinued-

Documentation of statistics