Search result

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

Documentation of statistics: Public Sector Innovation

Contact info, Science, Technology and Culture , Helle Månsson , +45 23 47 32 96 , HEJ@dst.dk , Get documentation of statistics as pdf, Public Sector Innovation 2023 , Previous versions, Public Sector Innovation 2019, Public Sector Innovation 2016, Innovation in the public sector 2014, The purpose of these statistics is to uncover the extent and types of public sector innovation. The survey is conducted according to EU and OECD guidelines concerning innovation statistics. , Statistical presentation, These statistics are an annual measurement of the share of innovative workplaces in the public sector. The statistics are grouped by industry, in groups of business sizes and by type of innovation at the individual workplace, degree of novelty, initiator and obtained values., Read more about statistical presentation, Statistical processing, The statistical treatment of data primarily concerns the creation of derived variables and formatting of the data., Read more about statistical processing, Relevance, Ministries, departments. municipalities, regions, decision makers, workplaces and employees in the public sector, who have the possibility to compare the innovation activities of their workplace in comparison to others, and to get inspired for new solutions. Researchers and consultants working with innovation in the public sector will be able to use the material for analyses., Read more about relevance, Accuracy and reliability, The survey was voluntary with a response rate of 36 per cent, and therefore the uncertainty will be higher than in a survey with a much higher response rate. Measurement errors are believed to be very small, as nearly all questions in the survey are qualitative., Read more about accuracy and reliability, Timeliness and punctuality, From the end of the reference period (June 2023) to the day of publication, 6 months have passed., Read more about timeliness and punctuality, Comparability, All the Nordic countries have collected and disseminated comparable statistics, Norway, Sweden, Iceland and Finland., Read more about comparability, Accessibility and clarity, The statistics is published in a Danish press release. In the StatBank, these statistics can be found under the subject , Innovation, . For more information, go to the , subject page, for these statistics, or visit the webpage of , Center for Offentlig-Privat Innovation, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-sector-innovation

Documentation of statistics

Documentation of statistics: Sale of motor vehicles, repair and maintenance of motor vehicles etc. (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Sale of motor vehicles, repair and maintenance of motor vehicles etc. 2015 , Previous versions, The purpose of the analysis is to shed light on the turnover structures of , Wholesale and retail trade and repair of motor vehicles and motorcycles, . , Statistical presentation, The statistics provide data on the structure of turnover, industry turnover breakdown by product groups as well as product group by industries. , Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from the industry group , Wholesale and retail trade and repair of motor vehicles and motorcycles, . In the questionnaire the enterprises are asked to breakdown their turnover by a number of products. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is in demand from Eurostat. , Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. , Read more about comparability, Accessibility and clarity, The statistics are published in the , StatBank, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sale-of-motor-vehicles--repair-and-maintenance-of-motor-vehicles-etc---discontinued-

Documentation of 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

Documentation of statistics: Business Cycle Tracer (Discontinued)

Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Business Cycle Tracer 2021 , Previous versions, Business Cycle Tracer 2020, Business Cycle Tracer 2019, Business Cycle Tracer 2018, Business Cycle Tracer 2017, Business Cycle Tracer 2016, Business Cycle Tracer 2015, Business Cycle Tracer 2014, Business Cycle Tracer is a graphic tool to analyze the business tendency based on confidence indicators for Manufacturing industries, Construction industry, Services and Retail trade - please refer to documentation for those statistics., Statistical presentation, The Business Cycle Tracer is plotted in a scatter graph. Y-values depict indicator level. X-values depict changes in indicator level month over month. Along the curve is traced the development month by month., The collection of data for these statistics has not been affected by COVID-19. , Read more about statistical presentation, Statistical processing, Based on Business Tendency Survey data, a composite indicator is calculated by Principal Component Analysis for each sector., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media., Read more about relevance, Accuracy and reliability, Based on , Business Tendency Survey, . Furthermore refer to method description in Danish: , Konjunkturcyklus-metode, ., Read more about accuracy and reliability, Timeliness and punctuality, Update each month the second workday., Read more about timeliness and punctuality, Comparability, Containing time series from 1998 and onwards, The method follows the method established by DG ECFIN, EU. Furthermore see the method description: , Konjunkturcyklus-metode, (in Danish)., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Business Cycles, and in an interactive graph on the subject page., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-cycle-tracer--discontinued-

Documentation of statistics

Documentation of statistics: Insurance companies and pension funds

Contact info, Government Finances , Get documentation of statistics as pdf, Insurance companies and pension funds 2022 , Previous versions, Insurance companies and pension funds 2021, Insurance companies and pension funds 2020, Insurance companies and pension funds 2019, Insurance companies and pension funds 2018, Insurance companies and pension funds 2017, Insurance companies and pension funds 2014, The purpose of these statistics is to quantify insurance companies and pension funds profit and loss accounts and assets and liabilities, in DKK millions on an aggregate level. These statistics are comparable from 2001 and onwards., Statistical presentation, These statistics include an annual statement of the number of insurance and pension companies as well as their profit and loss accounts as well as their income statement in DKK millions. These statistics are conducted for life insurance companies, non-life insurance companies and pension funds., Read more about statistical presentation, Statistical processing, Compared to the source data the wording of certain items can be changed or aggregated., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The overall accuracy is considered very high. All data comes from the Danish FSA. In general the sector is subject to a great degree of awareness. For further information please refer to the Danish FSA., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 11 months after the end of the reference year. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Similar statistics are available in other countries. These statistics are comparable since the 2001., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Insurance companies and pension funds, . For more information go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/insurance-companies-and-pension-funds

Documentation of statistics

Documentation of statistics: Index of Production in Construction

Contact info, Short Term Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Index of Production in Construction 2024 , Previous versions, Index of Production in Construction 2023, Index of Production in Construction 2022, Index of Production in Construction 2021, Index of Production in Construction 2020, Index of Production in Construction 2019, Index of Production in Construction 2018, Index of Production in Construction 2017, The purpose of Index for Production in Construction (IPC) is to illustrate the business trends in the sector. These statistics have been compiled since autumn 2014, but is in its current form comparable from January 2000 and onwards., Statistical presentation, IPC is a monthly measurement of the business trends in the sector stated in index. It is compiled on a national level, Read more about statistical presentation, Statistical processing, These statistics are based on hours worked in the construction sector from the Working Time Accounts (WTA). , Read more about statistical processing, Relevance, The Index for Production in Construction illustrate the actual business conditions, which can be used to get a overview over the business trends in the sector., Read more about relevance, Accuracy and reliability, The margins of statistical uncertainty associated with the IPC are related to the statistical uncertainty of WTA., Read more about accuracy and reliability, Timeliness and punctuality, Data is transmitted to Eurostat and published i Statbank within one and a half month after the reference month., Read more about timeliness and punctuality, Comparability, Eurostat makes international comparisons. The statistics have figures that can be compared from 2000., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Index of production in construction (IPC), . For further information go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/index-of-production-in-construction

Documentation of statistics

Documentation of statistics: Transport by pipeline

Contact info, Short Term Statistics , Henriette Erichsen , +45 29 77 56 38 , HEE@dst.dk , Get documentation of statistics as pdf, Transport by pipeline 2022 , Previous versions, These statistics covers transport in pipelines and transport of oil and natural gas by pipelines, with figures from 1982 and onwards., Statistical presentation, These statistics provides annual estimates of transport in 1,000 tonnes and million tonne-kilometers in pipelines by product, including including natural gas and natural gas exported, as well as crude oil incl. and excl. water., Read more about statistical presentation, Statistical processing, Data for the statistics on pipelines are collected annually from enterprises with transport activities in pipelines in the Danish exclusive economic zone. Validation if done by checking for significant fluctuation in comparison to previous reported data as well as deviations compared to the production of oil and natural gas., Read more about statistical processing, Relevance, The statistics is relevant in order to complete the transport statistics and monitor transport by all modes. The statistics covers the same overall variables as other transport statistics: transport performance, infrastructure and investments., Read more about relevance, Accuracy and reliability, The statistics is based on an exhaustive census with few and large enterprises and has 100 percent response rate. The transported amounts are coherent with the production of oil and natural gas., Revisions in published data is rare and only occurs if reporting errors affects previous years., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published between 250 and 300 days after end of reference year., Since 2011 the statistics has been published at the preannounced time., Read more about timeliness and punctuality, Comparability, The statistics are compiled in accordance with European guidelines and is comparable with statistics from EU., A consistent time series exists since 1982., Read more about comparability, Accessibility and clarity, The statistics are published annually as tables in the online databank, Statbank under the topics of , Goods transport, and , Traffic og infrastructure, ., Selected tables are published in , Statistical 10-year Review, (in Danish)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-pipeline

Documentation of statistics

Multiplier analysis

As part of testing and analysing the model a set of , standard multipliers, , , first year effects,  and a , collection of examples, is presented with every model version. These give a broad overview of the analysis possibilities of ADAM. Multipliers are used to analyse the effects of economic and political changes.  A demand shock in ADAM affects both production, employment and consumption in the short run. In the long run the effect on employment disappears. In contrast, a supply shock will have a permanent effect on employment. This is in line with most models of small open economies with a fixed exchange rate policy and a Phillips curve. , In principle, there is no automatic monetary or fiscal policy reaction function in ADAM. This aspect should be taken into consideration in the comparison with other economic models. Furthermore the specific danish laws and rules modelled in ADAM could be important when comparing with models for other economies. , For every new model version a series of standard experiments are produced to enable the analysis of the model characteristics. At the same time, the experiments makes it possible to compare the characteristics of the new model version with previous ones. All multiplier analysis are based on a base line representing a solution with respect to the endogenous variables based on a stylized forecast of the exogenous variables. , standard multipliers,  are made by changing one or a few of the exogenous variables and afterward calculating the effect on the endogenous variables. , first year effects,  represents the short run. Focus is especially on fiscal policy and the characteristics are examined by comparing with the previous model version.,  ,  

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer