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MitID Support

MitID Erhverv and reporting to Statistics Denmark,  (Danish), About MitID Erhverv, By the summer of 2023, all organisations (companies, associations and authorities) that currently use NemID Employee Signature must transition to MitID Erhverv – or re-register., Read more about MitID Erhverv, ., MitID Erhverv and special user privileges, When reporting to a number of specific statistics, you are required to have MitID Erhverv with special privileges for those statistics. This applies, for example, to reporting to Lønstatistikken (Earnings), Fravær (Absence from work) and a number of statistics about social services. You can find instructions for requesting and granting special privileges here:, For MitID rights administrators: , Grant rights (PDF), ., For employees who need special rights: , Request rights (PDF), ., MitID Erhverv for employees located outside of Denmark , It is possible for employees without a CPR number to be created as users in MitID Erhverv: , Follow the instructions from Danish Agency for Digital Government, ., It is also possible to set up MitID Erhverv by using a reporter, who can prepare the connection and ensure documentation of foreign owners without MitID. A reporter could, for instance, be an accountant with a Danish CPR number and MitID or an ordinary employee with a CPR number and MitID., Read more about how to prepare the connection, ., Foreign management representative?, It is not possible for a foreign management representative who does not have a CPR number to use a private MitID without a CPR number to connect an organisation to MitID Erhverv. In these cases, the organisation must be connected by a "reporter" in the organisation who has a CPR number and a MitID., Read more about how to connect your organisation with a management representative without a CPR number and MitID, ., Guidance and support to MitID Erhverv, If you have questions about MitID Erhverv or if you experience errors, you can find instruction at the , Danish Agency for Digital Government,  - or contact MitID Erhverv-support by phone: +45 33 98 00 20., Read more at the Danish Agency for Digital Government, .

https://www.dst.dk/en/Indberet/vejledning-til-digital-indberetning/mitid

Classification by sector in the European system of accounts (ESA2010), v1:2014

Name: , ESA2010_V1_2014 , Description: , ESA2010 sectors is a statistical classification. The sector code is used to group institutional units with the same primary activity and function. E.g. the primary activity and function describe if a unit produces market or non-market services. An institutional unit is characterized by decision-making autonomy in the exercise of its principal function. Institutional units are also called economical entities., The sector code divides the economy into six overall sectors:, The non-financial corporations sector, The financial corporations sector, General government, Household sector, Non-profit institutions serving households, Rest of the world, The sector division is based on the European sector classification, which is defined in the manual European System of Accounts (ESA 2010). This classification is consistent with the international sector classification defined in the System of National Accounts 2008 (SNA 2008). See also , ESR sectors, , which is Statistics Denmark’s own classification in the statistical business register., Valid from: , September 1, 2014 , Office: , Government Finances , Contact: , Helene Gjermansen, , hgj@dst.dk, , ph. +45 24 76 70 09 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification by sector in the European system of accounts (ESA2010), v1:2014, September 1, 2014, Still valid, Classification by sector in the Statistical Business Register (SBR), v1:2013, January 1, 2013

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esa2010?id=6c0826d4-1f0a-4f09-b239-5d6e8b3bf953

Documentation of statistics: Natural gas weekly (experimental statistics)

Contact info, National Accounts, Climate and Environment , Thomas Eisler , +45 20 56 92 83 , TME@dst.dk , Get documentation of statistics as pdf, Natural gas weekly (experimental statistics) 2022 , Previous versions, The purpose of the experimental weekly statistics on natural gas is to provide an early indicator of trends in consumption of natural gas and the import dependency. The statistics show weekly data on storage and consumption of natural gas in the current year compared to previous years., Statistical presentation, The statistics shows weekly figures for consumption and storage of natural gas., Read more about statistical presentation, Statistical processing, Weekly consumption is calculated as a sum of daily consumption and weekly storage is calculated as an average of daily storage., Read more about statistical processing, Relevance, This statistic has been established as there is a lot of attention to natural gas after the Russian invasion of Ukraine., Read more about relevance, Accuracy and reliability, The statistics is produced in the same way for all weeks. All periods are updated at each publication. There is no expected revisions of data as the source data are collected ongoing., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is made public 3-4 days after the reference period., Read more about timeliness and punctuality, Comparability, The statistics can be compared to the monthly statistics on natural gas from the Danish Energy Agency (DEA). , Read more about comparability, Accessibility and clarity, These statistics are published weekly in the StatBank under the subject , Energy Consumption, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/natural-gas-weekly--experimental-statistics-

Documentation of statistics

Data Processing Services

WHY THE NEED FOR A DATA PROCESSOR AGREEMENT?, According to the General Data Protection Regulation (GDPR), data processing made on behalf of others must be regulated by a contract or other legally binding document. As Statistics Denmark performs services that involve processing of our customers’ data, e.g. personal data, we must draw up a so-called data processor agreement by which the customer is the data controller and Statistics Denmark is the data processor., THE DANISH DATA PROTECTION AGENCY’S STANDARD AGREEMENT, Statistics Denmark uses the Data Protection Agency’s standard template and we use the same agreement for all services where we act as a data processor for our customers. , In addition to the data processor agreement, we also draw up a contract for the individual services., Statement of assurance, For resource and security reasons, Statistics Denmark has decided not to be open for inspections by the data controllers. Instead, Statistics Denmark has commissioned an audit report by an external auditing firm to ensure that Statistics Denmark, as a data processor, complies with the General Data Protection Regulation in its capacity of data processor. Upon request, customers with whom we enter a data processor agreement will receive a copy of the audit report., Template of the Danish Data Protection Agency

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

Component 3: Missing or erroneous data

3.0: Project preparation, Activity 3.0 - Mission report - Assessment and planning - Missing or erroneous data (ENG), Activity 3.0 - Mission report - Assessment and planning - Missing or erroneous data (AR), Activity 3.0 - Economic statistics - DoS (ENG), Activity 3.0 - Economic statistics - DoS (AR), 3.1: Review methodology, Activity 3.1.1 - Mission report - Review methodology for Business statistics (ENG), Activity 3.1.1 - Mission report - Review methodology for Business statistics (AR), Mission 3.1.2 - Mission report - Review methodology for Household statistics (ENG), Mission 3.1.2 - Mission report - Review methodology for Household statistics (AR), Mission 3.1.2 - An Overview of The Household Expenditure and Income Survey (HEIS) (ENG), Mission 3.1.2 - An Overview of The Household Expenditure and Income Survey (HEIS) (AR), Mission 3.1.2 - Estimation Techniques for the German household surveys (ENG), Mission 3.1.2 - Estimation Techniques for the German household surveys (AR), Mission 3.1.2 - General features of household surveys at Statistics Finland (ENG), Mission 3.1.2 - General features of household surveys at Statistics Finland (AR), Mission 3.1.2 - Introduction to Quality and Performance Indicators (ENG), 3.2: Sampling frame of economic surveys, Activity 3.2.1 - Mission report - Assessment of current situation and adjusting RWP (AR), Activity 3.2.1 - Mission report - Assessment of current situation and adjusting RWP (ENG), Activity 3.2.2 - Mission report - Frame evaluation (AR), Activity 3.2.2 - Mission report - Frame evaluation (ENG), 3.3: Quality framework, 3.4: Harmonize economic questionnaires with SNA

https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-3-missing-or-erroneous-data

Component 2: Small Area Statistics

2.0: Project preparation, Activity 2.0 - Mission report - Assessment and planning SAE (ENG), Activity 2.0 - Mission report - Assessment and planning SAE (AR), Activity 2.0 - SAE in HEIS - DoS (ENG), Activity 2.0 - SAE in HEIS - DoS (AR), Activity 2.0 - SAE Steps - ISTAT (ENG), Activity 2.0 - SAE Steps - ISTAT (AR), Activity 2.0 - SAE Vision for Jordan - SL (ENG), Activity 2.0 - SAE Vision for Jordan - SL (AR), 2.1: Pilot SAS, Activity 2.1.1 - Mission Report SAE - Smooting and manipulation (ENG), Activity 2.1.1 - Mission Report SAE - Smooting and manipulation (AR), Activity 2.1.1 - Introduction to direct, synthetic and composite estimation - ISTAT (ENG), Activity 2.1.1 - Introduction to direct, synthetic and composite estimation - SL (ENG), Activity 2.1.1 - Intro to R, Activity 2.1.2 - Mission Report - Theory and best practice of Small area estimations (ENG), Activity 2.1.2 - Mission Report - Theory and best practice of Small area estimations (AR), Activity 2.1.2 - Introduction to SAE (ENG), Activity 2.1.2 - Introduction to SAE (AR), Activity 2.1.2 - Introduction to SAE in R (ENG), Activity 2.1.2 - Introduction to SAE in R (AR), Activity 2.1.4 - Mission Report - Practical implementation of small area estimation theory on Jordanian data (AR), Activity 2.1.4 - Mission Report - Practical implementation of small area estimation theory on Jordanian data (ENG), Activity 2.1.4 - Mission Report - Practical implementation of small area estimation theory on Jordanian data (ENG), 2.2: SAS on other areas, 2.3: Training, 2.4: Tools for dissemination, Activity 2.4.1 - Mission Report - Exploring the possibilities for updating PxWeb (ENG), Activity 2.4.1 - Mission Report - Exploring the possibilities for updating PxWeb (ENG), Activity 2.4.2 - Mission report - Exploring the possibilities for updating functionalities of WordPress (AR), Activity 2.4.2 - Mission report - Exploring the possibilities for updating functionalities of WordPress (ENG)

https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-2-small-area-statistics

Documentation of statistics: Research Libraries (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Research libraries 2017 , Previous versions, Research Libraries 2016, Research Libraries 2015, Research Libraries 2014, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. The statistic is produced by Statistics Denmark since 2009., Statistical presentation, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from the research libraries via electronic questionnaire. Data from each research libraries are checked in relation to their reporting for the previous years. Data collection takes place at the same level of detail as what the final statistics are published on., Read more about statistical processing, Relevance, The main users are politicians, students, community organizations and the libraries themselves. There have not been performed any survey on user satisfaction for this particular statistics., Read more about relevance, Accuracy and reliability, In 2014, the response rate was 71 per cent. Some other research libraries do not report to the research library statistics. There are neither imputed nor listed for the missing values. Therefore, the values are underestimated in relation to the actual level. Data is published for the individual research libraries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 6 months after the reference year end without delay. , Read more about timeliness and punctuality, Comparability, Data is comparable from 2009 onwards. The statistics are based on the DS / ISO 2789 standard, which is the international standard for compile library statistics. The statistics are based on DS / ISO 2789 standard and is therefore comparable with other statistics for library activity., Read more about comparability, Accessibility and clarity, Publishing takes place in the following channels: Statistikken udgives i , Newsletter, . I Statistikbanken offentliggøres tallene under emnet , Forskningsbiblioteker, . Publication about culture in Danish, Kultur, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-libraries--discontinued-

Documentation of statistics

Innovation and patents

Innovation is the introduction of new or significantly improved products and processes. , Introduction, For product innovations to be implemented means that they have been introduced on the market. For processes implementation means that they have been brought into use., In order to be an innovation, the product or process needs to be new or significantly changed, at least for the enterprise itself. The definition of innovation is developed by OECD and described in the Oslo Manual., 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., Innovation in the private sector, Public Sector Innovation, Key figures, In Statbank Denmark, you can find more data on Innovative enterprises (INN22), In Statbank Denmark, you can find more data on Innovative enterprises (INN22), In Statbank Denmark, you can find more data on Enterprises, who have traded in IPR (IPR1), Related content in Innovation and patents, Tables in Statbank , Scheduled releases , Contact, David Boysen Jensen, Phone: +45 61 50 73 82, Mail: , dby@dst.dk

https://www.dst.dk/en/Statistik/emner/uddannelse-og-forskning/forskning-udvikling-og-innovation/innovation-og-patenter

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Research and development

The research and development statistics show the research and development made in order to increase the total knowledge of society. , 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., Business Enterprise Research and Development (BERD), Government budget allocations for research and development, Innovation in the private sector, Research and development in the public sector, Key figures, In Statbank Denmark, you can find more data on Research and Development costs in per cent of GDP (CFABNP), In Statbank Denmark, you can find more data on Enterprises expenses for own R&D (FORSK01), In Statbank Denmark, you can find more data on R&D man-year in public sector (FOUOFF02), In Statbank Denmark, you can find more data on R&D-expenses in public sector (FOUOFF07), In Statbank Denmark, you can find more data on Government Budget for Appropriations or Outlays for R&D (FOUBUD), Related content in Research and development, Tables in Statbank , Scheduled releases , Contact, David Boysen Jensen, Phone: +45 61 50 73 82, Mail: , dby@dst.dk

https://www.dst.dk/en/Statistik/emner/uddannelse-og-forskning/forskning-udvikling-og-innovation/forskning-og-udvikling

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Forestry

How much forestry do we have in Denmark? How much tree was felled last year and where in Denmark? How many forestry farms exist in Denmark and how big are they? Denmark has a long tradition when it comes to statistics on forestry. It allows for a good overview of wood resources. The statistics on forestry tell us about the development of the Danish forests with respect to area, tree varieties and the production of tree. , 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., Felling of Wood in the Danish Forests, Key figures, In Statbank Denmark, you can find more data on Felling in forest and plantation in Denmark (SKOV55), In Statbank Denmark, you can find more data on Forestry area (SKOV11), Related content in Forestry, Tables in Statbank , Scheduled releases , Contact, Karsten Kjeld Larsen, Phone: +45 21 29 55 76, Mail: , kkl@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/landbrug-gartneri-og-skovbrug/skovbrug

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