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    Documentation of statistics: Oil and natural gas in the North Sea

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Foged Svendsen , +45 21 34 73 19 , JFS@dst.dk , Get documentation of statistics as pdf, Oil and natural gas in the North Sea 2023 , Previous versions, Oil and natural gas in the North Sea 2022, Oil and natural gas in the North Sea 2021, Oil and natural gas in the North Sea 2020, Oil and natural gas in the North Sea 2019, Oil and natural gas in the North Sea 2016, The purpose of this natural resource account is to analyze stocks and stock changes in oil and natural gas in the North Sea. The statistics is measured in both physical and monetary units. The time series are comparable from 1990 onwards., Statistical presentation, The physical asset account and the monetary asset account for oil and gas in the North Sea is an annual statistics showing the reserves of oil and natural gas in the North Sea, which may be recovered under the given economic conditions and with known technology measured in cubic meters (m3). Both statistics show the reserves of oil and natural gas at the beginning of the year and the changes in the reserves during the year., Read more about statistical presentation, Statistical processing, Data for this statistic is provided annually by the Danish Energy Agency. Additional information is taken from the Energy Agency's publication on the oil and gas production. The collected data have undergone validation in the Energy Agency. The validation done by Statistics Denmark during the compilation of the natural resource accounts deals solely with ensuring consistency between the opening and closing stocks., Read more about statistical processing, Relevance, The statistics is used for analysis and forecasting by ministries, industry associations, research institutions and consultants and other who want an overview of the relationships between the economy and the environment., Read more about relevance, Accuracy and reliability, Based on the known knowledge and expectations about economic and technological aspects, the natural asset accounts provide an estimate of the size of the reserves of oil and natural gas in the North Sea. The Energy Agency changes the estimate of the reserves as the reserves are extracted and when new discoveries are made. Moreover, development of new extraction technology lead to revisions of estimates. The reserves are not a static physical quantity., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published without delay compared to the planned release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 1990 onwards. The statistics follow international standards and are thus comparable with similar statistics from other countries prepared in accordance with applicable international standards., Read more about comparability, Accessibility and clarity, The data for the oil and natural gas in the North Sea is published in the Statbank in the tables , OlieRg, and , GasRg, . See more on statistics , topic page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/oil-and-natural-gas-in-the-north-sea

    Documentation of statistics

    Documentation of statistics: The annual and quarterly working time accounts before the 2016 revision (Discontinued)

    Contact info, Labour Market , Get documentation of statistics as pdf, The Annual and Quarterly Working Time Accounts Before the 2016 revision 2016 Quarter 1 , Previous versions, The Annual and Quarterly Working Time Accounts 2014 Quarter 3, The Annual and Quarterly Working Time Accounts 2014 Quarter 4, The Annual and Quarterly Working Time Accounts 2015 Quarter 1, The Annual and Quarterly Working Time Accounts 2015 Quarter 2, The Annual and Quarterly Working Time Accounts 2015 Quarter 3, The Annual and Quarterly Working Time Accounts 2015 Quarter 4, The Danish Working Time Accounts (WTA) is an integrated statistics with consistent time series on employment, number of jobs, hours worked and compensation of employees in both annual and quarterly basis. The current time series goes back to 2008 (quarterly statistics as from the 1st quarter of 2008)., Statistical presentation, The Working Time Accounts produce integrated statistics with consistent time series on employment, jobs, number of hours worked and compensation of employees on an annual and quarterly basis. The data basis is made up by a number of primary statistical data, which are adapted and adjusted to achieve agreement of the concepts and definitions used in the WTA system., The statistical sources used in the WTA are: , The Register-Based Labour Force statistics (RAS), , Establishment-related employment statistics (ERE statistics), , The Structural Earning Statistics (SES), , Employment Statistics for Employees (BfL) og , The Labour Force Survey (LFS)., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projecting these levels over the months of the year and in periods for which structural data are not available. Summation of the data in the Working Time Account is conducted before they are projected. Data in the Working Time Account are seasonally adjusted both for use in Denmark as well as for use in Eurostat’s STS. The system contains a data-editing system, a correction system and a dissemination system., Read more about statistical processing, Relevance, Users interested in the social and economic statistics have expressed satisfaction with the quality of the statistics. However, they also expressed frustration over large data breaches, especially in the transition to e-Income-based sources., Read more about relevance, Accuracy and reliability, There are no calculations of the measures of accuracy., See section quality assessment., Read more about accuracy and reliability, Timeliness and punctuality, Working hours are regularly published in accordance with Statistics Denmark's benchmark goals. , For quarterly statistics concerned, this goal implies that the publications to be released at the latest ​​by the end of the following quarter. For the sake of short-term business regulation (STS), this implies that the WTA to be published typically by the middle of the last month of the following quarter. (The requirement for most employment series for STS is 2 months and 15 days). For annual statistics concerned, this implies that publications to be released at the latest by the end of the following year. In the interest of national accounts the annual WTA will be published in June with provisional figures for the previous year. This makes the annually WTA for the year , t, to be published in the same month as the publication of the quarterly WTA for the period , 1 quarter t +1, . , The transition to the new WTA resulted, however, that annual WTA 2011, based on the new eIncome sources, were not published until December 2012, whereas the publication of the quarterly statistics has not given rise to any delay., Read more about timeliness and punctuality, Comparability, WTA deliver labour market data to Eurostat's corporate short-term regulation (STS) and the national accounts (ESA / ESA). Therefore, changes in these regulations typically result in changes in the WTA. A description of the transitional tables between the WTA and the National Accounts can be found in the publications on the National Accounts. Transitional tables between the WTA and the Register-based Labour Force Statistics and the Establishment-related Employment Statistics are published in Statistical News ("Statistiske Efterretninger") for the annual WTA., Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark (Nyt fra Danmarks Statistik), , in the series Statistical News ("Statistiske Efterretninger") and , in the Statbank Denmark ("Danmarks Statistikbank")., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-annual-and-quarterly-working-time-accounts-before-the-2016-revision--discontinued-

    Documentation of statistics

    Documentation of statistics: Indices of Average Earnings for the Private Sector (Discontinued)

    Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Average Earnings for the Private Sector 2019 , Previous versions, Indices of Average Earnings for the Private Sector 2018, Indices of Average Earnings for the Private Sector 2017, Indices of Average Earnings for the Private Sector 2016, Indices of Average Earnings for the Private Sector 2015, Indices of Average Earnings for the Private Sector 2014, The purpose of the index of average earnings is to indicate trends in earnings for different industries in the private sector exclusive of enterprises categorised as public administration or -services (state, regional or municipal). The index of average earnings was first published for the first quarter of 1994 under the name , the index of average earnings in the private sector, . Since then the index has been published based on the Danish Industrial Classification of 1996 (DB96), Danish Industrial Classification of 2003 (DB03) and since the third quarter of 2008 based on the Danish Industrial Classification of 2007 (DB07). Moreover, the index of average earnings replaced the index of hourly earnings for workers in manufacturing industry and the index of monthly earnings for salaried employees in manufacturing industry, which were discontinued at the end of 1997., Statistical presentation, The index of average earnings comprises all employees, salaried employees (white collar employee or officials) and wage-earners (blue collar workers) as well as apprentices and young people under 18 years employed in a business enterprise with 10 or more persons in the private sector. The entire private sector is covered by the indices, including e.g. employees in private schools and private hospitals. Still, the index does not include enterprises belonging to either the agriculture or fisheries industries. In accordance with the nomenclature DB07 (Danish Industrial Classification 2007), the the index is broken down by industry and since the third quarter of 2008 published at the most detailed level according to the 36-grouping in DB07. For a period between the first quarter of 2005 and the second quarter of 2008, the indices were only published at the 10-grouping level., Read more about statistical presentation, Statistical processing, Data are collected from the private enterprises and organisations that are included in the sample and cover the second month of the quarter in question. To start with, a rough search for errors is performed on the data. Then, the change in the average earnings per hour from the previous quarter is calculated for each enterprise. Only enterprises where data exists for both quarters are included in the computations. The average hourly wage per observations in the sample is then weighted to take account of all enterprises in a specific branch of economic activity in the population. A total figure for the average hourly wage and the rate of increase from the last quarter is then calculated for each branch of economic activity. After this the index point and the annual rate of increase is calculated for each branch. Finally the total index point and annual rate of increase is found as a total for all branches., Read more about statistical processing, Relevance, Private corporations and organisations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, The accuracy and reliability is mainly affected by two factors. First of all, the index is based on a sample, which in itself cause some uncertainty. Second of all, there is some uncertainty connected to the completeness in the collected data, which is often caused by errors in the way the system is generated for transmission of data. An example of this is a payroll system where the different wage compositions are not correctly linked or reported, and thus give an inaccurate picture of the development of wages. The problem with errors like these is that they tend to be difficult to discover. For example would reporting of a low and wrong value for irregular payments result in too high calculation of wage developments, as the irregular payments could not be separated from the wage component., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 60 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, The index of average earnings for Corporations and Organizations, replace , the index of average earnings of the private sector, which was last published for the fourth quarter of 2013. The comparability of the two indices is considered to be high. The difference has to do with the new applied delimitations of the sectors, where some of the public owned enterprises, such as Danish Railways (DSB) and some of the municipal owned resource centers, now according to the new delimitations of the sectors belong to “the index of average earnings of Corporations and Organizations”. The new sector delimitations were applied in the indices going back to first quarter of 2013, where it caused a small data breach., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-average-earnings-for-the-private-sector--discontinued-

    Documentation of statistics

    Documentation of statistics: Social benefits for senior citizens

    Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions, Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation, Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

    Documentation of statistics

    Statistics Denmarks library

    The library of Statistics Denmark has historical statistics from Denmark – and from practically all over the world, Since 1850, the library has been building Denmark’s most comprehensive collection of statistics, and this whole mine of data is also available to you – whether you are a scientist, student, journalist or a citizen taking a general interest. Open the entries below to see more of what we have.,  , Statistics on Denmark, The library has all the material published by Statistics Denmark – as well by the predecessors of the institution. The oldest publication is from 1835 and holds results from the population censuses in 1801 and 1834., Population censuses, population movements and mortality as well as information about landed property, shipping and international trade are among the very first sets of statistics., Many of the historic publications from Statistics Denmark have been scanned and can be downloaded in pdf-format from the pages , Historiske publikationsserier,  and , Publikationer, ., The library also has historical publications from other Danish producers of statistics – such as, Det Kgl. Sundheds-kollegium (predecessor of the Danish Health Authority), The Royal Danish Agricultural Society, The Danish Ministry of Education, Confederation of Danish Employers, You can access the old publications in the library reading room and, in most cases, it is also possible to borrow them., Statistics from all over the world, The library’s collections of statistics on other countries is extensive and varied. For example, we have hundred-year-old statistical yearbooks from countries such as Germany, Egypt and Venezuela, as well as statistics from countries that no longer exist, such as Czechoslovakia., The oldest series of statistics are from and about Central European and North American countries and go back to the mid-nineteenth century. These publications allow you to follow the birth of nations. Our collection of statistics from and on countries all over the world is the result of former exchange agreements with statistical libraries of other countries. As a result, we have publications from more or less all countries’ statistical agencies – and many statistical publications on the countries of six continents. Europe, Asia, Oceania, North and South America as well as Africa., The most common subjects are population, trade, agriculture and of course general yearbooks across subjects. There are also more country-specific publications, such as yearbooks on the USA’s cotton and tobacco statistics., You can access the old publications in the library reading room and, in most cases, it is also possible to borrow them., Statistics from international organisations (such as the UN, OECD and Eurostat) – and from foreign publishers, The library has historical, statistical publications from a number of international organisations, which were established in the wake of World War II. It concerns publications from the UN and affiliated organisations as well as the OECD, IMF, World Bank and Eurostat. Examples of long time series:, UN: "Population and vital statistics report" (1949-2013), IMF: "International financial statistics" (1948-2010), International Tea Committee: "Annual Bulletin of Statistics" (1946 onwards), Other types of publications, The library also has publications from foreign publishers. The focus is on scientific literature in mathematics, statistics, economics and social sciences, which has been used by employees of Statistics Denmark. You can access the old publications in the library reading room and, in most cases, it is also possible to borrow them. , Registration of new user, lending rules and loan period, You can write to us if you have questions or need help finding statistics., You can borrow materials from us through your local public library in Denmark. Or you can come and visit us and borrow directly from us. If you want to borrow materials, you need to register as a user – with your name, address, email, mobile number and civil registration number. You can use your national health insurance card or other valid ID (driving licence, student ID card or passport) as due proof of identity., You can see our materials in the library reading room without registering as a user. Most of our materials are in our storage vaults. This means that any material that you wish to borrow or review has to be ordered before 3 p.m. the day before your visit., Address and email, You can write to us at , info@dst.dk, – or use the , filling form, ., If you want to visit us, please write us to make an appointment., We are located at: Sankt Kjelds Plads 11, 2100 Copenhagen Ø. , How we store your personal information, On Statistics Denmark’s page on , Privacy policy, you can read more about how we process information about you when you have registered as a user/borrower. You can be deleted as a user/borrower at any time, if you wish. In that case, please contact us at , info@dst.dk, History of the library, Statistics Denmark's Library is the main Danish library of descriptive statistics, which means that we have the best and most comprehensive collection of statistics in Denmark. The library is open to the public., The library was founded in 1850 and so it follows the , History of Statistics Denmark, . The library has received government grants since it was founded., How you find the materials, Ask Information Service,  , or search in the , library catalogue, Online library catalogue, Here you can search for all publications from Statistics Denmark and the institution’s predecessors. Other publications from 1996 onwards are also available here. , Card catalogue, Most of the publications from before 1996 that were not published by Statistics Denmark are only registered in an old-school card catalogue and can be accessed with the assistance of Information Service and Library.

    https://www.dst.dk/en/informationsservice/brug-biblioteket

    Statistics Denmark's press and media policy

    The press and media policy sets the framework for Statistics Denmark’s cooperation with the media and our approach to working with the press. It must ensure that Statistics Denmark’s relations and contact with the media is professional and in keeping with the fundamental principles of the organisation., Principles, Statistics Denmark is a transparent, accessible and communicating institution, and the press is one of our key stakeholders., Therefore, we will build and maintain good relations with the press by offering professional high quality service. This applies when we disseminate new sets of statistics, when we approach the press, and when the press contacts us., Trustworthiness, We will maintain and extend our trustworthiness by giving the press easy access to relevant and correct statistics. If we are unable to do so, we explain why., Competence, As a general rule, the employee most familiar with the subject is the spokesperson. , Timeliness, We help the press as soon as possible. We answer any enquiry during regular working hours as soon as possible and preferably on the same day. If we are unable to answer the request on the same day, we communicate this., Accessibility, We aim to make it quick and easy to get in touch with the right employee during working hours. Outside working hours, the press can get in touch with the head of communication or the head of press, who will estimate the possibilities for further contact., User focus, We provide the same high level of service to all journalists regardless of the type of media, and we are mindful of the conditions under which journalists operate - including deadlines. We aim to see the potential and relevant stories in what we are working with and communicate clearly with an eye for the receiver., Contact with the press, In principle, all employees can speak to the press about their own area of expertise., Employees of Statistics Denmark do not offer any opinion, we contribute only facts and put them into perspective. Nor do we comment on the data of other institutions., Publication of statistics, Statistics Denmark uses various channels to publish statistics, including tables in Statbank Denmark, the news series ‘Nyt fra Danmarks Statistik’ and different types of publications etc. The planned release time appears from the list of , scheduled releases, . , Statistics Denmark does not release statistics to the media or anyone else prior to the release time – nor in the form of content provided with a clause., Special data extractions, We send supplementary numbers and data extractions to the press free of charge, provided that it is already available in the statistical division or can be obtained within four working hours, and provided that the task in general can be accommodated within the daily work. , Errors and source references, If Statistics Denmark becomes aware of incorrect or misinterpreted mention of our statistics in the press or elsewhere, we contact the relevant media immediately. We also respond if a media uses our statistics without acknowledging Statistics Denmark., Statistics Denmark is independent of political and other interests, and we aim to present our statistics in a neutral way. Sometimes media, researchers or analysts select, combine or present our data in a way that is different from ours. Sometimes they also do graphics work based on our data. As long as the use of the data is not misleading, Statistics Denmark can still be indicated as a source. If there are other sources than Statistics Denmark for e.g. a chart or a table, we want the other sources to be indicated as well., If the media process our data, e.g. by combining new concepts or classifications, it must be stated that the data has been processed, e.g. by writing “Source: Own calculations based on data from Statistics Denmark”. This also applies when researchers or analysts have processed data from Statistics Denmark and receive press coverage., The principles for source references are the same for publicly available data as for data purchased from or compiled via Statistics Denmark., Handling of errors, Occasionally, we make errors or detect omissions in our products. In this event, we correct the statistics immediately and are transparent about it., Competence enhancement, We regularly make presentations to journalists to introduce them to using our statistics. Journalists are welcome to contact us for an introduction., We collaborate with the education programmes in journalism in Odense, Aarhus and Roskilde. We introduce the students to Statistics Denmark in general, how to find stories in the statistics as a journalist and how to avoid common pitfalls.

    https://www.dst.dk/en/presse/danmarks-statistiks-pressepolitik

    The Enterprise Package

    Get An overview of Denmark’s imports and exports of goods , The Enterprise Package is a standard solution specifically suited for private companies wishing to follow the foreign trade in certain goods. It may be items that you already deal with or goods you intend to import or export in future., Identify opportunities and challenges, The starting point of the package is the products you wish to map. The actual list shows how much is imported and exported of a particular product and to and from which countries the product is imported and exported. The list contains both figures for the quantity and the value., You can use the product as a tool for analysis, e.g. if you want to:, Identify potential export opportunities, Know how much of a particular product is imported into the domestic market, Find economic growth areas for particular products, Content and documentation, Data are based on extracts from Statistics Denmark's table KN8MEST. and contains monthly, quarterly and yearly figure. The figures are summed up by quarters and years, but since data for the past month only include trade with Extrastat countries, the most recent quarter and year are incomplete. The price per kg is a calculated value and if a unit other than kg occurs, then that price per unit is also calculated. Below you can see an example of a delivery., Example of a delivery, Reliability,  for errors , Date of publication, Revisions of the figures, Read the documentation and more about the content of the foreign trade statistics here., Prices, Depends on the number of product codes you want data for. Prices range from , DKK 2,921 excl.,  , VAT,  (DKK 3,651.25 incl. VAT) for 1-8 product codes to , DKK 37,394 excl. VAT , (DKK 46,752.50 incl. VAT) for more than 200 product codes. Prices are covering data delivery for a full calendar year. The package contains monthly, quarterly and yearly figures., Price list - the Enterprise package_2023, Delivery, You will receive the tables once a month in Excel and we will send them by e-mail. The package contains monthly, quarterly and yearly figures. The first delivery (January figures) takes place in March. The December figures for the subscription year will be delivered in February of the following year. If you start a subscription in eg. August, you will receive figures for the part of the year that has passed (+ the year before) in the first delivery and then figures for one new month each month, until the last figures for the calendar year/reference year have been received. , ORDERING, Click on the link below and complete the form., Order, Please note that by ordering you accept , Statistics Denmark's General Terms and Conditions of Agreements, CONTACT INFORMATION, DST Consulting, Tel. +45 3917 3600, Amy Frølander, tel. +45 39 17 37 49, TAILOR-MADE SOLUTIONS, It is also possible to combine the tables with other variables or have them combined in a different way than in our standard tables. Read more about our , tailor-made solutions, or send an email to our consultants at , DST Consulting, .

    https://www.dst.dk/en/TilSalg/produkter/erhvervsliv-og-handel/firmapakken

    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 Denmark’s Data Portal., The project owner in Denmark’s Data Portal 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 Denmark’s Data Portal 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 , danmarksdatavindue@dst.dk, or your project owner in Denmark’s Data Portal. 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