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Classification by function in the Statistical Business Register (SBR), v2:2007

Please note, a more current version of this classification is now available. See the current version , here., Name: , ESR_FUNKTION_V2_2007 , Description: , Classification by function are used for sector breakdowns of workplaces. Function codes allow for a delimitation between private and public sectors in accordance with the international agreements established in the System of National Accounts (SNA)., Classification by function is replaced from January 1st 2013 by Sector Codes, in accordance with ESA 2010 (European System of Accounts), where the sector location is primarily determined by who has organizational control over the unit. This is new compared to the function code, where a unit was sector-based primarily by the financing of the activity in the unit., Valid from: , January 1, 2007 , Valid to: , December 31, 2012 , 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 Statistical Business Register (SBR), v1:2013, January 1, 2013, Still valid, Classification by function in the Statistical Business Register (SBR), v2:2007, January 1, 2007, December 31, 2012, Classification by function in the Statistical Business Register (SBR), v1:1994, January 1, 1994, December 31, 2006

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esr-sektor?id=04bfdd19-6ed7-45c6-ae90-ff59750efce0

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: 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

Purchases of goods and services by manufacturing industries

The purpose of the statistics is to give detailed information about the input structure of industrial production. The input measured is raw and auxiliary materials used in the processing and production of commodities, packing materials, and purchases of services. The data are divided by detailed industrial groups (NACE-groups). The main use of the survey is to the National Accounts. , 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., Manufacturers’ Purchases of Goods and Services, Key figures, In Statbank Denmark, you can find more data on Manufacturing industry's purchase of services (RAAV3), In Statbank Denmark, you can find more data on Manufacturers' sales, SITC (quarter) (VARER2S), Related content in Purchases of goods and services by manufacturing industries, Tables in Statbank , Scheduled releases , Contact, Inger Hansen, Phone: +45 40 23 78 84, Mail: , iha@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/industri/industriens-koeb-af-varer-og-tjenester

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Sales of alcohol and tobacco

The alcohol statistics illustrate the sale of beer, wine and liquor. The tobacco statistics provide information about the sale of cigarettes, cigars, cigarillos, and smoking tobacco. , Introduction, The sale is based on the Danish domestic taxed sale. The sale that is taxable is the sale of alcohol and tobacco to the retail trade., The alcohol statistics is given in 1.000 liters of the product and in 1.000 liters of pure alcohol. Cigarettes, cigars and cigarillos are counted in millions (by pieces). While smoking tobacco is measured in tons., Statistics Denmark has alcohol statistics from 1921 and tobacco statistics from 1923., 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., Sales of Alcohol and Tobacco, Key figures, In Statbank Denmark, you can find more data on Sales of alcohol and tobacco, subject to excises duties (ALKO6), Related content in Sales of alcohol and tobacco, Tables in Statbank , Scheduled releases , Contact, Christian Lindeskov, Phone: +45 21 22 28 57, Mail: , chl@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/handel/salg-af-alkohol-og-tobak

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Hotels, holiday centres and hostels

Each year Danes and foreigners have millions of overnight stays in hotels, holiday centers and hostels. , Introduction, The category hotel and holiday centers includes hotels, motels, inns, guest houses, holiday centers and hostels. The numbers are distributed by nationality of the guests. In addition, the statistics cover the region and the part of the country where the overnight stay takes place. Numbers distributed by municipality can be purchased. The statistics further more cover the number of rooms rented out and the stock of beds and rooms/apartments., 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., Nights spent at hotels, holiday resorts and youth hostels, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST1), Related content in Hotels, holiday centres and hostels, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/hoteller-feriecentre-og-vandrerhjem

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Camping sites

Danes and foreigners combined have millions of overnight stays on camping sites in Denmark every year. , Introduction, The statistics on camping sites are published monthly and annually. The monthly statistics are calculated from reporting from camping sites with at least 75 units while the annual statistics also covers camping sites with as little as 10 units., A camping unit corresponds to a capacity of 3 people. In Denmark there are about 407 camping sites with at least 75 units. Three out of four camping sites are located west of Storebælt., 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., Nights spent on camp sites, Key figures, In Statbank Denmark, you can find more data on Nights spend on camping sites (CAMP1), Related content in Camping sites, Tables in Statbank , Scheduled releases , Contact, Karina Moric Ingemann, Phone: +45 24 78 42 12, Mail: , kam@dst.dk

https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/campingpladser

Subject page