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Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst,dk , Get documentation of statistics as pdf, Sickness benefits 2025 , Previous versions, Sickness benefits 2024, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD's service desk is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published in the tables under the subject , Sickness benefits, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sickness-benefits

Documentation of statistics

Documentation of statistics: The Public Sector Finances

Contact info, Government Finances, Economic Statistics , Helene Gjermansen , +45 24 76 70 09 , HGJ@dst.dk , Get documentation of statistics as pdf, The Public Sector Finances 2024 , Previous versions, The Public Sector Finances 2023, The Public Sector Finances 2022, The Public Sector Finances 2021, The Public Sector Finances 2020, The Public Sector Finances 2019, The Public Sector Finances 2018, The Public Sector Finances 2017, The Public Sector Finances 2016, The Public Sector Finances 2015, The Public Sector Finances 2014, The purpose of the statistic is to show the activities that are owned or controlled by the general government and to illustrate the public area as an economic unit called , the public sector, . Statistics Denmark began publishing the statistic in March 1998, where it contained figures covering the period 1993-1996., Statistical presentation, The public sector's finances is an annual specification of the institutional distribution of activities carried out by the public corporations, giving total figures as well as figures divided into industrial groups. Furthermore, the statistics contain figures for the public sector and all public corporations and quasi-corporations., Read more about statistical presentation, Statistical processing, The data for the statistic is based on accounting information from central government, regions, and municipalities, along with approximately 800 public companies. The accounting information is gathered directly from central government, regions, and municipalities, while data from the public companies are collected by the use of surveys. The accounting information is checked for errors, along others by comparing to the previous year's accounts, and a macro-validation is carried out on the most detailed industrial classification. The gathered data covers the full population, and as such no further calculations are necessary., Read more about statistical processing, Relevance, The primary users are the ministries of economic affairs, interest organisations, politicians, educational institutions, and the interested public. Some users needs information on the total sector and the subsectors contribution to the public sector as a hole. Others needs detailed information on the public corporations., Read more about relevance, Accuracy and reliability, Full coverage of all industries is obtained by conducting a yearly check of the population in relation to a variety of sources. Accounting information is obtained from central and local government accounts and furthermore from questionnaires. Some accounting information is adjusted to the terminology used in the national accounts system and therefore deviates from normal accounting conventions. Furthermore, public corporations may use different methods of accounting. Accounting data entered wrongly are also a source of error, which is minimized by comparison with information from the previous year. If necessary, the company in question is contacted to validate the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published in December the year after the latest accounting year and without delays., Read more about timeliness and punctuality, Comparability, These statistics are comparable from 1993 and onwards. The figures are produced according to international guidelines and are therefore comparable with similar estimates from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in Danish press release and in the StatBank under , Public corporations and public sector, . , Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Finance Companies, Accounts Statistics (Discontinued)

Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Finance Companies, Accounts Statistics 2023 , Previous versions, Finance Companies, Accounts Statistics 2022, Finance Companies, Accounts Statistics 2021, Finance Companies, Accounts Statistics 2020, Finance Companies, Accounts Statistics 2019, Finance Companies, Accounts Statistics 2018, Finance Companies, Accounts Statistics 2017, Finance Companies, Accounts Statistics 2016, Finance Companies, Accounts Statistics 2015, Finance Companies, Accounts Statistics 2014, Finance Companies, Accounts Statistics 2013, The purpose of the statistics The activity of finance companies is to analyze the performance of major finance companies, including leasing companies, factoring companies, consumer credit companies and non-banking companies, offering loans to businesses and households. The statistics was first published in 2005 with figures for 2001-2004. It is a replacement for "Major finance companies, account statistics" and "Non-bank Consumer credit, Account Statistics"., Statistical presentation, The data covers the activity of the finance companies through additions during the year and outstanding amounts at the end of the year of leases, factoring and other kinds of lending. Also the sectors aggregated profit and loss account and balance sheet are determined., Read more about statistical presentation, Statistical processing, The annual data collection takes place via an upload solution. The financing companies can access an Excel file with the questionnaire on Statistics Denmark's website. In the absence of a reporting, the company is contacted, which results in a response rate of 100. Once the data has been collected, a manual validation of the data is carried out before the publication of the aggregated data., Read more about statistical processing, Relevance, As part of the general statistical information on the financial sector, the statistics refers to financial institutions, public authorities, business community and the general public. Furthermore, the data contributes to the national account statistics., Read more about relevance, Accuracy and reliability, These statistics accuracy and reliability is considered to be good. Based on the response rate of 100 percent, and the way the statistics are designed. However, there may be some uncertainty associated with coverage error, and measurement error due to new players and ongoing product development in the industry., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of the statistic is approx. eight months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The population is defined for relatively few units, causing some sensitivity to the constant changes in the population. This adjustment is a result of new players and where companies no longer meet the requirements to be included in the statistics., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistics Denmark here: , Financing companies, ., Data can be found in the following tables in the StatBank:, Leasing by type, Type of kredit, Profit and loss, Balance sheet, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/finance-companies--accounts-statistics--discontinued-

Documentation of statistics

Documentation of statistics: Recidivism

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Recidivism 2023 , Previous versions, Recidivism 2022, Recidivism 2021, Recidivism 2020, Recidivism 2019, Recidivism 2018, Recidivism 2017, Recidivism 2014-2016, Recidivism 2013-2015, Recidivism 2012-2014, Recidivism 2011-2013, Recidivism 2010-2012, The purpose of Recidivism is to analyze the extent of new criminality among persons who have been released after serving in jail or have received a guilty decision during a calendar year., The statistics on Recidivism was made up the first time for persons released or convicted in 2007 and has hereafter been produced annually., Statistical presentation, The statistics on recidivism form part of the criminal statistics. The criminal statistics include statistics on criminal cases as reported criminal offences, victims of reported criminal offences, imprisonments and convictions., The statistics shed light on new criminality among people who have been released after serving in jail or have received a guilty decision during a year. The extent and type of new crimes committed during a follow-up period of two years are calculated. , Furthermore, information on level of education and the extent of criminality the five years previous to the actual year form part of the statistics., Read more about statistical presentation, Statistical processing, The source to the statistics are data from other statistical registers operated by Statistics Denmark. Data from the registers are delivered yearly via System-to-system-transmission. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year. Data about decisions, charges and admissions to prisons from Statistics Denmark's criminal statistical registers are linked to data from Statistics Denmark's register of the population's highest level of education and Statistics Denmark's register of Populations Statistics., Read more about statistical processing, Relevance, Statistikken bliver anvendt bredt af myndigheder, organisationer, forskere, pressen mv. Tabellerne i Statistikbanken er hyppigt anvendt. Fremsatte synspunkter og ønsker fra centrale brugere tages i betragtning ved udarbejdelse af statistikken., Read more about relevance, Accuracy and reliability, The statistics on recidivism is based on other of Statistics Denmark's statistical registers where the reliability is considered to be good. However, the number of emigrants is assessed to be under-estimated with 15-20 percentages. The statistics include persons who are registered with a decision in the central criminal register at the time the extract to Statistics Denmark is done. A number of decisions made during the calendar year will happen not to be registered at that time. That implies that the total number of persons in the defined population presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 1 year and 9 months after the end of the reference period. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 2007, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time., Some of the published data are not available for all years., No international comparable statistics are available., Read more about comparability, Accessibility and clarity, The statistics on convictions are published in: , News from Statistics Denmark, , the publication , Kriminalitet (Criminality), and in , StatBank, ., At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject Page, ., Taylor made statistics can be prepared on bases of the ready-made files. Through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymized data., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/recidivism

Documentation of statistics

Documentation of statistics: Economics of Agricultural Activities

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Economics of Agricultural Activities 2024 , Previous versions, Economics of Agricultural Activities 2023, Economics of Agricultural Activities 2022, Economics of Agricultural Activities 2021, Economics of Agricultural Activities 2020, Economics of Agricultural Activities 2019, Economics of Agricultural Activities 2018, Economics of Agricultural Activities 2017, Economics of Agricultural Activities 2016, Economics of Agricultural Activities 2015, Economics of Agricultural Activities 2014, The purpose for this statistics for Economics of agricultural activities are to analyze the economic results for individual crops and livestock production. This also applies to horticultural crops. The statistics are based on holdings that have a work equivalent to at least 1 annual work unit (1 AWU equals 1,665 working hours). Holdings are weighted together, achieving a representative statistics for full-time farms. The basic accounts statistics for agriculture has been compiled since 1916 while the economics of agricultural activities is comparable 2021 onwards. In StatbankDK archive a time series for 2008-2021 can be found. , Statistical presentation, The statistics show economic results of production branches in agriculture. It shows results for crops and livestock on full-time farms and is based on accounting data distributed across 36 production branches. The statistics include, among other things, production value, costs, working hours and key figures. The figures are published in https://www.Statbank.dk and in "Nyt" from Statistics Denmark., Read more about statistical presentation, Statistical processing, The main source to the statistic is account information from accounting offices organized in SEGES. This information is retrieved electronically from the accounting system Ø90 supplemented with necessary additional information (eg. working hours). In addition some financial data for a small number of holdings are retrieved from other accounting offices., The holdings in the sample are checked for outliers and might be excluded in total or from certain activities. The holdings in the final sample are weighted to the population., Read more about statistical processing, Relevance, These statistics are primarily used by researchers and authorities as input into economic models and analyzes., Read more about relevance, Accuracy and reliability, By selection priority is given to farms included in the statistics several years in a row. Together with a uniform collection of data from Ø90 this ensures a high overall reliability of data. , Read more about accuracy and reliability, Timeliness and punctuality, This statistic is normally published with preliminary data within 12 month after closure of the relevant accounting year. Data are final app. three years after closure of the accounting year., Read more about timeliness and punctuality, Comparability, Data from 2021 onwards are comparable. There are no EU based systematic similar statistics for 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., For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-of-agricultural-activities

Documentation of statistics

Documentation of statistics: Public Funding for Cultural Purposes

Contact info, Science, Technology and Culture, Business Statistics , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Public Funding for Cultural Purposes 2025 , Previous versions, Public Funding for Cultural Purposes 2024, Public Funding for Cultural Purposes 2023, Public Funding for Cultural Purposes 2022, Public Funding for Cultural Purposes 2021, Public Funding for Cultural Purposes 2020, Public Funding for Cultural Purposes 2019, Public Funding for Cultural Purposes 2018, Public Funding for Cultural Purposes 2017, Public Funding for Cultural Purposes 2016, Public Funding for Cultural Purposes 2015, Public Funding for Cultural Purposes 2014, The purpose of the statistics Public Funding for Cultural Purposes is to provide a comprehensive overview of public funding for cultural purposes by collecting all data on public cultural budgets. Previously, the statistics was compiled by the Ministry of Culture and results were disseminated through the publication , Kulturpengene, . The statistics describes the magnitude and categories of the public funds for cultural purposes and has been compiled in this form since 2007., Statistical presentation, These statistics present annual accounts of the public funding for cultural purposes in DKK million by cultural domains, purpose, financing arrangement and financing type. The statistics detail the funds allocated by the central government and local authorities for purposes within the domain of the Ministry of Culture. Funds are allocated to cultural institutions, projects and individuals and are used for operating institutions, subsidies for specific activities and projects, scholarships, etc., Read more about statistical presentation, Statistical processing, Data on State funding is delivered by the Ministry of Culture. Data on municipal funding is drawn from Statistics Denmark's account of budgets of municipalities. Electronic data editing as well as manual checks of the results are performed by Statistics Denmark before publication. Results are compared to last year's results and the occurrence of new purposes are verified by the Ministry of Culture., Read more about statistical processing, Relevance, The statistics are relevant for private individuals, companies and public authorities as the basis for e.g. forecasts, analyzes, contract regulation, public and private planning purposes in the cultural field., Read more about relevance, Accuracy and reliability, Data for these statistics are derived from authorized and central sources such as the National Budget, Supplementary Funds Records and the municipal budgets. No uncertainty calculations are available, but the overall accuracy for state funds is considered to be very high and is reported annually by the Ministry of Culture. The municipal budgets are supplied from the municipalities’ own financial systems and are also considered to have very high reliability. If cultural appropriations in the municipalities fall outside the statistical definition of cultural purposes, they are not included in the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay. Data collection awaits endorsement of the Supplementary Funds Record by the Parliamentary Committee on the National Budget, which usually occurs in May of the fiscal year. Given a processing period of approximately two months, the annual statistics are expected to be available in August., Read more about timeliness and punctuality, Comparability, Statistics on the state funding are comparable to the National Budget publication from the Ministry of Finance. Media License Fees are detailed in the annual budget record on determination of the Media License Fees. Lotto funds for cultural purposes are itemized in the annual Supplementary Funds record on the allocation of Lotto funds for cultural purposes. For municipal funds, statistics are partially comparable with statistics from Statistics Denmark's Budgets of municipalities and regions. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-funding-for-cultural-purposes

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