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Classification of education (DISCED-15), completed educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2020 , Description: , DISCED-15 is Statistics Denmark's classification system for education. DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system [International Standard Classification of Education (ISCED)](https://ec.europa.eu/eurostat/statistics-explained/index.php/International_Standard_Classification_of_Education_(ISCED)#Background). All educations in DISCED-15 have a four-digit code, e.g. *4280: Electrician*, which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions: **Main area** Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education. **Types of education** Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area. **Levels of education** Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education). **Fields of education** Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2020 , Valid to: , January 31, 2021 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=0c3051fa-d915-47ea-aa24-2c239c7960e2

Classification of education (DISCED-15), completed educations, v1:2019

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2019 , Description: , DISCED-15 is Statistics Denmark's classification system for education. DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system [International Standard Classification of Education (ISCED)](https://ec.europa.eu/eurostat/statistics-explained/index.php/International_Standard_Classification_of_Education_(ISCED)#Background). All educations in DISCED-15 have a four-digit code, e.g. *4280: Electrician*, which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions: **Main area** Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education. **Types of education** Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area. **Levels of education** Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education). **Fields of education** Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2019 , Valid to: , January 31, 2020 , Office: , Befolkning og Uddannelse , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=bf338fa3-aa9c-481e-8af4-7d0f373f8a4f

Documentation of statistics: Energy Accounts for Denmark

Contact info, National Accounts, Climate and Environment, Economic Statistics , Thomas Eisler , +45 20 56 92 83 , TME@dst.dk , Get documentation of statistics as pdf, Energy Accounts for Denmark 2024 , Previous versions, Energy Accounts for Denmark 2023, Energy Accounts for Denmark 2022, Energy Accounts for Denmark 2021, Energy Accounts for Denmark 2020, Energy Accounts for Denmark 2019, Energy Accounts for Denmark 2018, Energy Accounts for Denmark 2017, Energy Accounts for Denmark 2016, Energy Accounts for Denmark 2015, Energy Accounts for Denmark 2014, Energy Accounts for Denmark 2013, Energy Accounts for Denmark 2012, Documents associated with the documentation, Metodedokument for statistikbanktabel LABY33 (pdf) (in Danish only), The energy accounts show how energy enters and is used within the Danish economy. They present flows of energy products according to the divisions and scope of national accounts. Flows include supply from production, extraction or imports and use in the form of consumption, exports and stock changes. Energy consumption in the the energy accounts is fully comparable with the description of the economic activity as described in the national accounts. In 1974, the first energy accounts for Denmark were made for the years back to 1966., Statistical presentation, The energy accounts account for 46 different energy commodities. The energy accounts are made up in specific physical quantities (tonnes, m3, GWh), energy units (joule) and gross energy consumption. The energy account is published in newsletters (Nyt) and in the statistical database. , Read more about statistical presentation, Statistical processing, Energy accounts are compiled using a method of product balancing. Supply and use of each energy product are compiled in a way to ensure their equality and are balanced by utilizing all the relevant information from the available sources., Read more about statistical processing, Relevance, The energy accounts are used by ministries, governmental agencies and organizations as a part of the surveillance of measures in the field of energy policy. Within Statistics Denmark, the energy accounts are used as basis for the supply use tables of the national accounts and as basis for the compilation of the air emissions accounts. The energy accounts are furthermore used as basis for input-output model based analyses., Read more about relevance, Accuracy and reliability, Precision and reliability are estimated to be great for the overall energy consumption thanks to energy statistics from the Danish Energy Agency as well as statistics on production and foreign trade with energy products. The precision of the distribution of energy use by industry is estimated to be less accurate. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published anually approx. 6 months after the reference period. However, on the most detailed level the energy accounts are published approx. 18 months after the reference period. The first publication 6 months after the reference period includes only data aggregated on 36 industry groups. The statistics is normally published without delays on the announced date. , Read more about timeliness and punctuality, Comparability, The energy accounts are available in a comparable form back to 1966, which allows for consistent time series analysis. The energy accounts were revised for all year with the publication on 20 November 2013. The main focus of the revision was to ensure comparability and consistency over time. The statistics follow international standards and are thus largely comparable with similar statistics from other countries. , Read more about comparability, Accessibility and clarity, Statistics are published in a Danish press release , Nyt fra Danmarks Statistik, . In StatBank Denmark under the theme , Energi- og emissionsregnskaber, . More information is found at , the theme page for energy and emission accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-accounts-for-denmark

Documentation of statistics

Documentation of statistics: Live music

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , cht@dst.dk , Get documentation of statistics as pdf, Live music 2024 , Previous versions, Live music 2023, Live music 2022, Live music 2021, Live music 2020, Live music 2019, Live music 2018, The purpose of the statistics Live music is to shed light on the activity around live music. The statistics show statements of concert organizers, concerts and the audience and include concerts with public access, where the musicians are remunerated for the performance of the musical works, and where the concerts are the main purpose of the audience's presence. The statistics have been compiled since 2020 and describe the activity around live music from 2018 to 2024., Statistical presentation, The statistics on live music are an annual statement of the number of concert organizers, concerts and audiences divided by organizer type, sector, industry and region., Read more about statistical presentation, Statistical processing, Data for the statistic of live music are collected annually from KODA,The Agency for Culture and Palaces, the music festivals' websites and Statistics Denmark's own registers. The collected data is examined and cleaned for error observations. Data about the audience appears directly from data for some of the concerts, while it is estimated for the others. The total data about concerts is used to identify the concert organizers., Read more about statistical processing, Relevance, The statistics are expected to be used by professionals, researchers, authorities and other users such as journalists who are interested in live music. The statistics can create a basis for forecasts and analyzes as well as a better understanding of the industry and the actors involved. The statistics are continuously developed in collaboration with a follow-up group consisting of significant users., Read more about relevance, Accuracy and reliability, The number of audiences, concerts and concert organizers is estimated on the basis of several data sources, including billing data for holding live concerts. This does not give the exact number of audiences and concerts, but is considered to give a true picture of the actual scope. The statistics are still under development, which is why there will be minor revisions of the published information in the first years of publication. We work continuously to ensure a high quality., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 1 years after the end of the reference year. These statistics are published without delay, with reference to the announced time of publication in the release calendar. The statistics have been updated in November 2020 for reference year 2019. The publication of reference year 2020 is published in December 2021. The publication of reference year 2021 is published in August 2022. The publication of reference year 2022 is published in August 2023. The publication of reference year 2023 is published in September 2024. The publication of reference year 2024 is published in December 2025., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2020 and describe the activity around live music from 2018 to 2024. The time series is fully comparable in the period. The statistics are not compiled according to pan-European guidelines and are therefore to a lesser extent comparable with official statistics from other countries. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Live music, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/live-music

Documentation of statistics

Documentation of statistics: Production of Compound Feed

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , MHG@dst.dk , Get documentation of statistics as pdf, Production of Compound Feed 2025 , Previous versions, Production of Compound Feed 2023, Production of Compound Feed 2022, Production of Compound Feed 2021, Production of Compound Feed 2018, Production of Compound Feed 2017, Production of Compound Feed 2016, Production of Compound Feed 2014, The purpose of the statistics is to shed light on the quantitative production of compound feed for livestock, as well as to calculate the total quantities of grain and feed materials used in compound feed. Feed materials are eg. oats or soybeans. The statistics shows which type of feed mixes are produced the most, and the development of feed mixes over time. The total quantities of compound feed and feed materials are used for calculations of The Economic Accounts for Agriculture (EAA). The statistics has been compiled since 1968, but in its current form is comparable from 1990 onwards., Statistical presentation, The statistics is an annual statement of compound feed production and feed materials used in compound feed calculated in millions. kg. Feed production is calculated for the calendar year and for various feed mixes for cattle, pigs, poultry and other livestock species. , Read more about statistical presentation, Statistical processing, Data is first checked by comparing individual reports with reports from previous periods. When the data collection is finished, the data is checked for errors on a macro level, for example by comparing with the development in the cattle and pig populations. In 2022, the data collection and data processing for The content composition of compound feed (FBL) was restructured so that the collection became identical to Production of compound feed (PAF). The rearrangement of FBL leads to a data breach in FODER2 from 2022, as there is no longer direct comparability. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the volume growth in the production of compound feed. Moreover, it is an input to the Economic Accounts for Agriculture. , Read more about relevance, Accuracy and reliability, The overall reliability is good. In 2022, the data processing for the content composition of the compound feed (FBL) was restructured, so that the collection became identical to Production of compound feed. The change entails a data breach in FODER2 from 2022. The old enumeration method has led to a certain overestimation of the use of some of the feed materials in compound feed., Read more about accuracy and reliability, Timeliness and punctuality, From 2023, the statistics will only be published once a year in the month of May in connection with the publication of the national Economic Accounts for Agriculture (EAA), almost 6 months after the reference time., Read more about timeliness and punctuality, Comparability, There is full comparability in data back to 1990 in the table FODER3. The overall main groups are comparable back to the start of the statistics in the operating year 1968/69. As regards to The content composition of the compound feed (FBL), which is published in FODER2, there is full comparability from 1992 to 2021. In 2022, the data collection and data processing for FBL was realigned. The change entails a data breach in FODER2 from 2022, as there is no longer complete comparability in the use of the feed materials and hence the quantities of single feed substances., Read more about comparability, Accessibility and clarity, These statistics is published in the StatBank under , Feed, fertiliser and pesticides, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-of-compound-feed

Documentation of statistics

Documentation of statistics: Social benefits for senior citizens

Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , +45 21 55 83 71 , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions, Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation, Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

Documentation of statistics

Danish data SDDS plus

The data shown in this page correspond to the data described on the International Monetary Fund's Dissemination Standards Bulletin Board (DSBB) and includes links to the SDDS plus data. , For a fuller explanation of the DSBB and the statistical standards to which Denmark has committed, please click on , DSBB Home Page, ., This page is updated on the day that data are released. , Real sector, Fiscal sector, Financial sector, External Sector, Socio-demographic Data, Gender, Data category, National website, SDMX data, Metadata, Real sector, National accounts , Statistics Denmark, SDMX, Metadata, Sectoral balance sheets , Statistics Denmark, SDMX, Metadata, Industrial production, index , Statistics Denmark, SDMX, Metadata, Industrial production, manufacturing and mining, index , Statistics Denmark, SDMX, Metadata, Retail sales, index , Statistics Denmark, SDMX, Metadata, Employment , Statistics Denmark, SDMX, Metadata, Unemployment, number of persons, SA , Statistics Denmark, SDMX, Metadata, Unemployment, number of persons, NSA , Statistics Denmark, SDMX, Metadata, Unemployment rate, percent, SA , Statistics Denmark, SDMX, Metadata, Wages/earnings , Statistics Denmark, SDMX, Metadata, Consumer price index , Statistics Denmark, SDMX, Metadata, Producer price index , Statistics Denmark, SDMX, Metadata, Import price index , Statistics Denmark, SDMX, Metadata, Fiscal sector, General government total gross debt in nominal values , Statistics Denmark, SDMX, Metadata, General government - Memorandum items , Statistics Denmark, SDMX, Metadata, General government operations - Transactions in financial assets and liabilities (Financing) - Quarter , Statistics Denmark, SDMX, Metadata, General government operations - Transactions in financial assets and liabilities (Financing) - Annual , Statistics Denmark, SDMX, Metadata, General government operations - Transactions affecting net worth - Quarter , Statistics Denmark, SDMX, Metadata, General government operations - Transactions affecting net worth - Annual , Statistics Denmark, SDMX, Metadata, Central government operations , Danmarks Nationalbank, SDMX, Metadata, Central government debt , Danmarks Nationalbank, SDMX, Metadata, Financial sector, Analytical accounts of the banking sector - Domestic assets and liabilitites including lending , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the banking sector - Foreign assets and liabilities , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the banking sector - Monetary aggregates , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the Central Bank (Danmarks Nationalbank) - Domestic lending and securities holding , Danmarks Nationalbank, SDMX, Metadata, Analytical accounts of the Central Bank (Danmarks Nationalbank) - External position , Danmarks Nationalbank, SDMX, Metadata, Interest rates , 2, Danmarks Nationalbank, Metadata, Financial soundness indicators - Deposit taking institutions , Danmarks Nationalbank, SDMX, Metadata, Financial soundness indicators - Residential real estate prices , Statistics Denmark, SDMX, Metadata, OFCS balance sheet , Statistics Denmark, SDMX, Metadata, Debt securities , Danmarks Nationalbank, SDMX, Metadata, External Sector, Balance of payments , Statistics Denmark, SDMX, Metadata, International reserves , Danmarks Nationalbank, SDMX, Metadata, Template on international reserves and foreign liquidity , Danmarks Nationalbank, SDMX, Metadata, Merchandise trade, value of exports and imports (FOB, CIF) , Statistics Denmark, SDMX, Metadata, Merchandise trade, volume of exports and imports, (FOB, CIF), index , Statistics Denmark, SDMX, Metadata, Merchandise trade, deflator/unit value of exports and imports, (FOB, CIF), index , Statistics Denmark, SDMX, Metadata, International investment position , Danmarks Nationalbank, SDMX, Metadata, Gross external debt , Danmarks Nationalbank, SDMX, Metadata, Coordinated portfolio investment survey , Danmarks Nationalbank, Metadata, Coordinated direct investment survey , Danmarks Nationalbank, Metadata, Currency composition of official foreign exchange reserves , 3, Danmarks Nationalbank, Metadata, Exchange rates , 2, Danmarks Nationalbank, Metadata, Socio-demographic Data, Population , 4, Statistics Denmark, SDMX, Metadata, Gender, Labor Force Participation Rate by Gender , Statistics Denmark, SDMX, 1, ) Data will be released no later than 2018, 2, ) SDMX dissemination is not required for this category., 3, ) Participate, 4, ) Population at the first day of the quarter

https://www.dst.dk/en/Statistik/IMF/Imf

Older documents

Follow this link to get access to , reports, documents and working papers of older date, ., Projects in collaboration with external institutions, Regarding economic effects on Denmark and Italy in connection with EU's enlargement. December 2001., Eastern enlargement of the EU: Economic costs and benefits for the EU present member states?, The case of Denmark, The case of Italy, Economic Working Papers,  (ADAM and DREAM), The DREAM group moved to the ministry of finance in march 2002., 2001:6   [DREAM] , The Optimal Level of Progressivity in the Labor Income Tax in a Model with Competitive Markets and Idiosyncratic Uncertainty, Toke Ward Petersen, September 2001 , 2001:5   [DREAM] , Interest Rate Risk over the Life-Cycle: A General Equilibrium Approach, Toke Ward Petersen, September 2001 ,  , 2001:4   [DREAM] , Indivisible Labor and the Welfare Effects of Labor Income Tax Reform, Toke Ward Petersen, September 2001 , 2001:3   [DREAM] , General Equilibrium Tax Policy with Hyperbolic Consumers, Toke Ward Petersen, July 2001 , 2001:2   [ADAM] , Modelling private consumption in ADAM, Henrik Hansen, N. Arne Dam og Henrik C. Olesen, August 2001 , 2001:1   [DREAM] , Fiscal Sustainability and Generational Burden Sharing in Denmark, Svend Erik Hougaard Jensen, Ulrik Nødgaard og Lars Haagen Pedersen, Maj 2001 ,  , 2000:5  [DREAM], V, elfærdseffekter ved skattesænkninger i DREAM, Anders Due Madsen, December 2000 ,  , 2000:4  [DREAM] , Har vi råd til velfærdsstaten ?, Lars Haagen Pedersen og Peter Trier, December 2000 ,  , 2000:3  [ADAM] , Current Price Identities in Macroeconomic Models, Asger Olsen and Peter Rørmose Jensen, August 2000 ,  , 2000:2  [ADAM] , General Perfect Aggregation of Industries in Input-Output Models, Asger Olsen, August 2000 ,  , 2000:1  [ADAM-DREAM] , Langsigtsmultiplikatorer i ADAM og DREAM - en sammenlignende analyse, Lars Haagen Pedersen og Martin Rasmussen, Maj 2000  ,   , 1999:4  [ADAM] , Løn-pris spiraler og crowding out i makroøkonometriske modeller, Carl-Johan Dalgaard og Martin Rasmussen, December 1999 ,  , 1999:3  [DREAM] , Earned Income Tax Credit in a Disaggregated Labor Market with Minimum Wage Contracts, Lars Haagen Pedersen & Peter Stephensen, November 1999, En kortere version af papiret er publiceret i Harrison, Hougaard Jensen, Pedersen & Rutherford (ed.): , Using Dynamic General Equilibrium Models for Policy Analysis, , North-Holland 2000,  , 1999:2 [ADAM] , Aggregation in Macroeconomic Models: An empirical Input-Output Approach, Asger Olsen, August 1999, Den endelige version er publiceret i , Economic Modelling, , 17:4 (2000) pp. 545-558 ,  , 1999:1  [ADAM] , Efterspørgslen efter produktionsfaktorer i Danmark, Thomas Thomsen, August 1999 ,  , 1998:6  [DREAM], A CGE Analysis of the Danish 1993 Tax Reform, Martin B. Knudsen, Lars Haagen Pedersen, Toke Ward Petersen, Peter Stephensen and Peter Trier, Oktober 1998,  , 1998:5  [DREAM] , Wage Formation and Minimum Wage Contracts, Lars Haagen Pedersen, Nina Smith (CLS) and Peter Stephensen, April 1998 ,  , 1998:4  [DREAM] , An introduction to CGE-modelling and an illustrative application to Eastern European Integration with the EU, Toke Ward Petersen, September 1997 ,  , 1998:3  [DREAM], I, Introduktion til CGE-modeller, Toke Ward Petersen, Oktober 1997, En kortere version er publiceret i Nationaløkonomisk Tidskrift 135 (1997) pp. 113-134,  , 1998:2  [ADAM] , Links between short- and long-run factor demand, Thomas Thomsen, December 1997, Den endelige version er publiceret i , Journal of Econometrics, , 97:1 (2000) pp. 1-23 ,  , 1998:1  [ADAM] , Faktorblokkens udviklingshistorie, 1991-1995, Thomas Thomsen, December 1997 ,  ,  

https://www.dst.dk/en/Statistik/ADAM/Dokumentation/AndetDok

Documentation of statistics: Holiday houses

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Holiday houses 2025 , Previous versions, Holiday dwellings 2024, Holiday houses 2022, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

Documentation of statistics

Documentation of statistics: Purchases and sales by enterprises

Contact info, Short Term Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Purchases and sales by enterprises 2024 , Previous versions, Purchases and sales by enterprises 2020, Purchases and sales by enterprises 2019, The purpose of the statistics Purchases and sales by enterprises is to monitor business cycles in Denmark, based on sales of enterprises. The statistics is based on information on value added tax (VAT) reported by the enterprises to the Danish Tax Authorities. , The statistics is compiled and disseminated monthly and provides a short-term status of Danish business economy. The statistics have been published with variation in calculation methods and frequencies, since value added tax (VAT) was introduces in Denmark in 1967. In its current form, the statistics is comparable from 2011 onwards., Statistical presentation, Purchases and sales by enterprises is a monthly statement of purchases and sales of goods and services. The Statement is calculated in millions (Danish kroner). The statement is calculated at industry level defined in the Danish Industrial Classification of All Economic Activities 2007 (DB07). In addition, the statistics are divided into domestic purchases and sales. , Read more about statistical presentation, Statistical processing, Data originates from the Danish Tax Agency’s VAT registers plus information from the Central Business Register (CVR). Missing reports are replaced with imputed values, which are values estimated for each missing report. Imputed values are provisional and removed when the enterprise has reported VAT to the Tax Agency or the enterprise's business status in the CVR register is updated as inactive. The report follows the enterprise's main industry. , Read more about statistical processing, Relevance, Users of the statistics are ministries, researchers, students and organizations. Used for e.g. analysis of business trends and market research. In Statistics Denmark, the statistic provides supporting information to e.g. the National Accounts and statistics on foreign trade. Data contribute to the Danish compliance with requirements in the European business statistics regulation regarding turnover on industries on service and trade. In order to comply with requirements, monthly turnover must be distributed to Kind of Activity Units (KAU). A model is used to split legal units into KAU. , Read more about relevance, Accuracy and reliability, The statistics is based on VAT, reported by enterprises to the Tax Agency. The precision is strengthened by the fact that all companies subject to VAT are included. It is weakened by too little information sales not subject to VAT, e.g. train tickets and recycled clothes. The reliability increases as the enterprises report and revise values. It's possible to revise up to three years after submission. Values are considered final after three years. The sales are used as an estimate for turnover. Please notes that turnover includes more than sales, e.g. revenue from investments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximate 40 days after the end of the reference period. The statistics contain a statement of sales that are subject to VAT. A statement of an enterprise's sales subject to VAT can be used as an estimate of the enterprise's turnover, which is why the statistics are used for short-term statistics on turnover. The publication date is announced at least 6 months in advance, and it is rare that a publication of the statistics is delayed. , Read more about timeliness and punctuality, Comparability, From 2010, the statistics are based on register data, the information on VAT that enterprise report to the Tax Agency. From the year 2010, data is comparable year to year, as it includes all enterprises that report VAT. The variable "salg i alt" can be used as estimate for the enterprises' net turnover and can be compared with the net turnover in other statistics, e.g. General Enterprise Statistics. When comparing, take into account the differences, for example which types of sales or revenue are included, whether excise duties are included, and whether smaller companies are included. , Read more about comparability, Accessibility and clarity, The statistics are published on the webpage , StatBank Denmark, under the topic Purchases and sales by Enterprises. Until December 2023, the statistics was published monthly in a Danish newsletter called NYT. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchases-and-sales-by-enterprises

Documentation of statistics