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    Documentation of statistics

    Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Environment and energy, Area, Land Accounts, Energy consumption and energy prices, Electricity and natural gas prices, Energy consumption in manufacturing industries, Natural gas weekly (experimental statistics), Price of North Sea oil, Use of firewood and other types of biomass for heating purposes in dwellings and holiday cottages, Environmental statistics, Bag of Game Statistics (Discontinued), Emissions of Greenhouse Gasses and Acidifying Gasses (Discontinued), State of Ozonlayer (Discontinued), Violation of Environmental Legislation (Discontinued), Environmental-economic accounts, Climate footprint (experimental statistics), Detailed material flow accounts (physical supply-use tables), Economy-wide material flow accounts, Emission Accounts, Energy Accounts for Denmark, Environmental accounts for Denmark (Discontinued), Environmental Goods and Services, Environmental Multiplier Tables, Environmental Protection Expenditures, Forest Accounts, Land Accounts, Oil and natural gas in the North Sea, Public Expenditure and Revenue on the Environment, Resource productivity (Discontinued), Stock account for fish and shellfish, Waste Accounts, Water and Waste Water, Organic production and trade, Accounts Statistics for Agriculture, Economics of Agricultural Activities, Eggs Production, External Trade of Organic Products, Farm Structure Survey, Milk and Dairy Products, Sale of Organic Foods in Retail Shops, Sales of food and beverages to food service

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=9

    Degree of Urbanisation (DEGURBA) - Statistics Denmark, v1:2007

    Name: , DEGURBA_DST_V1_2007 , Description: , Degree of Urbanization (DEGURBA) is a classification that divides municipalities by population density and the number of inhabitants in the largest city in the municipality. The classification is based on Eurostat's [Degree of Urbanization (DEGURBA)] (https://ec.europa.eu/eurostat/web/degree-of-urbanisation/background). As a supplement to Eurostat's DEGURBA, Statistics Denmark has, for use in Danish context, made a subdivision of , Intermediate density areas, and , Thinly populated areas, by number of inhabitants in largest city in the municipality, see below:, 1: Densely populated areas, 2: Intermediate density areas, 2.1: Intermediate density areas, at least 40,000 inhabitants in the largest city in the municipality, 2.2: Intermediate density areas, between 15,000 and 40,000 inhabitants in the largest city in the municipality, 2.3: Intermediate density areas, less than 15,000 inhabitants in the largest city in the municipality, 3: Thinly populated areas, 3.1: Thin populated areas, at least 15,000 inhabitants in the largest city in the municipality, 3.2: Thinly populated areas, less than 15,000 inhabitants in the largest city in the municipality, In the event that the municipality's largest city spreads over several municipalities (e.g. Birkerød), only those who live in the municipality are included in the determination of the municipality's largest city., Valid from: , January 1, 2007 , Office: , Population and Education , Contact: , Dorthe Larsen, , dla@dst.dk, , ph. +45 23 49 83 26 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Degree of Urbanisation (DEGURBA) - Statistics Denmark, v1:2007, January 1, 2007, Still valid

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/degurba-dst

    Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010

    Name: , DISCO_08_V1_2010 , Description: , DISCO-08 is a six-digit, five-level classification for classifying and aggregating information about job functions in statistical studies. The classification is a revised version of the 1988 occupational classification (DISCO-88) which it replaces., The classification is a tool for organizing jobs or occupational functions in clearly defined groups, in relation to the tasks performed in the job or occupation. The use of DISCO-08 makes it possible to compare people with the same job function - regardless of the employee's formal title and education., DISCO-08 is the official Danish version of the international professional classification, , International Standard Classification of Occupations (ISCO-08), , which is prepared by the International Labor Organization (ILO)., Compared to ISCO-08, Denmark has chosen to extend the classification from four to five levels, in order to meet the needs for further division of labour functions in the Danish labor market. The extension means that the labour functions of DISCO-08 - in the most detailed form - are divided into 563 groups, against ISCO-08's 439 subgroups., Valid from: , January 1, 2010 , Office: , Labour and Income , Contact: , Annette Gewecke Nancke, , agp@dst.dk, , ph. +45 30 60 41 75 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010, January 1, 2010, Still valid, Statistics Denmark's Classification of Occupations (DISCO-88), v1:1996, January 1, 1996, December 31, 2009

    https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco

    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, Open hierarchy, Download , CSV, DDI, S.11: Non-financial corporations, S.11001: Public non-financial corporations, S.11002: National private non-financial corporations, S.11003: Foreign controlled non-financial corporations, S.12: Financial corporations, S.121: Central bank, S.122: Deposit-taking corporations except the central bank, S.12201: Public deposit-taking corporations except the central bank, S.12202: National private deposit-taking corporations except the central bank, S.12203: Foreign controlled deposit-taking corporations except the central bank, S.123: Money Market Funds, S.12301: Public Money Market Funds, S.12302: National private Money Market Funds, S.12303: Foreign controlled Money Market Funds, S.124: Non-MMF investment funds, S.12401: Public Non-MMF investment funds, S.12402: National private Non-MMF investment funds, S.12403: Foreign controlled Non-MMF investment funds, S.125: Other financial intermediaries, except insurance corporations and pension funds, S.12501: Other public financial intermediaries, except insurance corporations and pension funds, S.12502: Other national private financial intermediaries, except insurance corporations and pension funds, S.12503: Other foreign controlled financial intermediaries, except insurance corporations and pension funds, S.126: Financial auxiliaries, S.12601: Public financial auxiliaries, S.12602: National private financial auxiliaries, S.12603: Foreign controlled financial auxiliaries, S.127: Captive financial institutions and money lenders, S.12701: Public captive financial institutions and money lenders, S.12702: National private captive financial institutions and money lenders, S.12703: Foreign controlled captive financial institutions and money lenders, S.128: Insurance corporations, S.12801: Public insurance corporations, S.12802: National private insurance corporations, S.12803: Foreign private insurance corporations, S.129: Pension funds, S.12901: Public pension funds, S.12902: National private pension funds, S.12903: Foreign controlled pension funds, S.13: General government, S.1311: Central government (excluding social security funds), S.1312: State government (excluding social security funds), S.1313: Local government (excluding social security funds), S.1314: Social security funds, S.14: Households, S.141/S.142: Employers and own-account workers, S.143/S.144: Employees and reciepients of pensions, property income and other transfers, S.15: Non-profit institutions serving households, S.2: Rest of the world, 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

    Documentation of statistics: Banks and mortgage-credit institutions

    Contact info, Government Finances , Get documentation of statistics as pdf, Banks and mortgage-credit institutions 2022 , Previous versions, Banks and mortgage-credit institutions 2021, Banks and mortgage-credit institutions 2020, Banks and mortgage-credit institutions 2019, Banks and mortgage-credit institutions 2018, Banks and mortgage-credit institutions 2017, Banks and mortgage-credit institutions 2016, The purpose of these statistics is to quantify the activity of banks and mortgage-credit institutes at an aggregated level, as well as provide key figures for the financial sector., Statistical presentation, The statistics are an annual statement of the banks and mortgage-credit institutes total income statement, the number of banks and mortgage institutes, the number of employees in banks and the key figures for the entire financial sector., 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 , Banks and mortgage-credit institutes, and in the , Statistical Yearbook, . For more information go to the subject pages for , Banks, and , Mortgage-credit institutes, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/banks-and-mortgage-credit-institutions

    Documentation of statistics

    Documentation of statistics: Profit and Loss Accounts of Danmarks Nationalbank

    Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Profit and Loss Accounts of Danmarks Nationalbank 2022 , Previous versions, Profit and Loss Accounts of Danmarks Nationalbank 2021, Profit and Loss Accounts of Danmarks Nationalbank 2020, Profit and Loss Accounts of Danmarks Nationalbank 2019, Profit and Loss Accounts of Danmarks Nationalbank 2018, Profit and Loss Accounts of Danmarks Nationalbank 2017, Profit and Loss Accounts of Danmarks Nationalbank 2016, The purpose of these statistics is to show an annual independent statement of the revenue and expenditure of Danmarks Nationalbank. These statistics are comparable since 2002., Statistical presentation, The statistics are an annual statement of Danmarks Nationalbank's income statement broken down into profit and loss accounts in DKK million., 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 annual report of Danmarks Nationalbank, which has been subject to independent auditing. For further information please refer to Danmarks Nationalbank., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about three months after the reference year. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, There is high comparability over time., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Danmarks Nationalbank, and in the , Statistical Yearbook, . For more information go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/profit-and-loss-accounts-of-danmarks-nationalbank

    Documentation of statistics

    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: 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