Search result

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

Subject page

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

Subject page

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

Subject page

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

Marinas

The Danish marinas have about one million overnight stays annually. , Introduction, The statistics are calculated from reporting from marinas with overnight stays of guest boats. The numbers are published monthly, however only for the peak season which is from May until September., 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 Marinas, Key figures, In Statbank Denmark, you can find more data on Nights spent at marinas with overnight accommodations (LYST1), Related content in Marinas, 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/lystbaadehavne

Subject page

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

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