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Documentation of statistics: Retail Trade Survey (Discontinued)

Contact info, Short Term Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Retail Trade Survey 2021 , Previous versions, Retail Trade Survey 2020, Retail Trade Survey 2019, Retail Trade Survey 2018, Retail Trade Survey 2017, Retail Trade Survey 2016, Retail Trade Survey 2015, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the retail trade. Statistics Denmark took over the Retail trade tendency survey in May 2011. The survey is directly connected to and defined by the Business and Consumer Survey joint harmonized programme as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. Within same programme is also carried out monthly tendency surveys on Manufacturing Industries, Construction, Services and Consumer expectations as well as the biannual survey on Manufacturing Industry Investments., Statistical presentation, The Tendency survey provides information about actual conditions and expectations within the Retail trade business. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables sales, employment, sales prices, orders placed by supplier and current stock., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 1400 Retail Trade stores, including auto wholesales. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, inventories, orders, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provide valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , precision, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaire or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month, data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Tendency survey in Retail trade was launched in May 2011 by Statistics Denmark. Data is comparable over time with similar tendency survey data up until April 2011 provided by the EC Business and Consumer Surveys programme and managed by Directorate-Generale for Economic and Financial Affairs, , DG ECFIN, ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Detailhandel, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBD1, KBD2 and KBD3. Read , here, about the statistics. Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-survey--discontinued-

Documentation of statistics

Documentation of statistics: Industry investment survey (Discontinued)

Contact info, Short Term Statistics , Bo Eriksen , +45 61 50 41 27 , BHE@dst.dk , Get documentation of statistics as pdf, Industry Investment Survey 2021 Month 04 , Previous versions, Industry Investment Survey 2020 Month 04, Industry Investment Survey 2018 Month 11, Industry Investment Survey 2018 Month 03, Industry Investment Survey 2017 Month 11, Industry Investment Survey 2017 Month 04, Industry Investment Survey 2016 Month 11, Industry Investment Survey 2016 Month 04, Industry Investment Survey 2015 Month 03, Industry Investment Survey 2015, Industry Investment Survey 2014 Month 03, The purpose of Investment Survey in Manufacturing industries is to provide an estimate of the expected future investments in manufacturing industries. The survey can be characterized as a tendency survey since the managements in the participating enterprises are asked to give an estimate on the annual investments in current prices. The survey has been carried through since 1982 according to demands from the EC., From 2021, the statistics have been entered under , Investment survey for manufacturing industry, and the content of this documentation deals with the archived statistical bank tables ., Statistical presentation, The investment survey in manufacturing industries is a tendency survey in which the expectations regarding the annual change in industrial investments are summarized twice a year (March and October). The survey gives information on expected investments in the current year and the forthcoming year and the results are presented as percentage changes., Read more about statistical presentation, Statistical processing, Not relevant for these statistics., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, No overall accuracy has been calculated. Is has been observed a tendency that 2nd and 3rd measurement of a survey-year shows higher growth rates as compared to 1st and 4th measurement. The reason for this seems to be measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, The half-yearly survey is launched by means of questionnaires about 20 days before the survey month beginning. Deadline for responses is about the 12th in the survey month. Two weeks after, about the 26th, a reminder is send to the remaining admitting a new deadline about the 4th the month after the reference month. About the 15th the statistics is enumerated. About the 22nd results are published and send to the EU-partner DG ECFIN. The process runs punctual., Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since 1982. Please refer to , (DG ECFIN), ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ., Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Industriens investeringsforventninger, and in English at the homepage , Short term trends, . , Detailed data is available in English version at , Statbank, ; choose English language and look for the tables INVEST1 & INVEST2., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/industry-investment-survey--discontinued-

Documentation of statistics

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: The economics of Danish feature films

Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , CBF@dst.dk , Get documentation of statistics as pdf, The economics of Danish feature films 2023 , Previous versions, The economics of Danish feature films 2021, The economics of Danish feature films 2020, The economics of Danish feature films 2018, The purpose of the statistics on the economics of Danish feature films is to shed light on the financing of and costs associated with the production of Danish feature films, ie. where the money comes from and what it has been used for. As of 2023 the statistics furthermore sheds light on the revenue of Danish feature films. The statistics can be used to describe the financial framework conditions for Danish feature films. The statistics have been prepared for the first time in 2021 and cover the period from 2010 onwards., Statistical presentation, The economics of Danish feature films is an annual statement of the framework conditions for Danish feature films by type of financing (public support and private financing), country of financing (Denmark or abroad), target groups (eg. children / young people / families or adults), cost types (salary and other costs) and revenue type (cinema, video, TV) calculated in both mill. DKK and number of films., Read more about statistical presentation, Statistical processing, Data for the statistics are collected by the Danish Film Institute for use in the administration of film support. It is examined whether the number of feature films in the data received matches the number of feature films supported through the Consultant or Market Scheme. Then various sum checks are made for the individual films. In the event of irregularities or questions, the Danish Film Institute is contacted and data edited if necessary. Data is then enriched with information about the target group from Statistics Denmark's Film Register. Finally, data is aggregated to the final tables., Read more about statistical processing, Relevance, The statistics are relevant for industry professionals, researchers, analysts and others with a special or general interest in the economic aspects of Danish film production. It can be used to support analyzes of the development in Danish feature film production and / or be a starting point for political debates and decisions. It can also provide an insight into the framework conditions for Danish feature films for other interested parties., Read more about relevance, Accuracy and reliability, The data basis is production accounts for Danish feature films that have received support from the Danish Film Institute either through the Consultancy or Market Scheme, but omit feature films that have received other or no support. The statistics are therefore not fully comprehensive and underestimate the financing of, the costs associated with and the number of Danish feature films. The data base comprises an average of 82 per cent of Danish feature films and 94 per cent of the total sales of cinema tickets., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two years after the end of the reference period. The table concerning revenue to Danish feature films is published four years after the end of the reference period., Read more about timeliness and punctuality, Comparability, The time series is comparable throughout the period. The statistics are partly comparable with Statistics Denmark's cinema statistics and can be compared with the Cultural Habits Survey's results regarding films and series. Internationally, the statistics can be compared with UNESCO's feature film statistics. There are no common European or international guidelines in the field, but there are a number of international and European sources for lighting the feature film field., Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Statistics Denmark publishes figures for the economy of Danish feature films under the topic , Cinemas and films, . See more on the subject page , Cinemas and films, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-economics-of-danish-feature-films

Documentation of statistics

Documentation of statistics: Population Projections

Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Population Projections 2025 , Previous versions, Population Projections 2024, Population Projections 2023, Population Projections 2022, Population Projections 2021, Population Projections 2020, Population Projections 2019, Population Projections 2018, Population Projections 2017, Population Projections 2016, Population Projections 2015, Population Projections 2014, A population projection gives an estimate of the size and composition of the future population with respect to sex, age, municipality and origin. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development in recent years continues. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., Statistics Denmark has prepared population projections since 1963. Since 2010, the projections have been produced in collaboration with DREAM (Danish Research Institute for Economic Analysis and Modelling), which is an independent institution whose purpose it is to develop and maintain tools for structural policy analysis. , Statistical presentation, Based on the projection for all of Denmark, Statistics Denmark subsequently makes projections that can be disaggregated by sex, age, provinces and municipalities. As part of the projections, figures are also available on demographic changes in terms of liveborn children, deaths, immigrants and emigrants., Read more about statistical presentation, Statistical processing, The population projections are based on historical data regarding the composition of the population in terms of sex, age and ancestry as well as fertility, mortality, immigration and emigration, and internal migration., Assumptions on the future development in fertility, mortality and migration are necessary to be able to make the projections., The projections are made every year using the population on 1 January. They are released in the beginning of May., A projection is made for the whole country as well as projections for the 11 provinces and 98 municipalities., Read more about statistical processing, Relevance, The projections for municipalities are widely used by the municipalities, and they create the basis for the municipalities’ own projections, which often incorporate a number of local factors that are not part of Statistics Denmark’s projections. The municipalities may use the projections in their planning of institutions, schools and the need for nursing homes in the future. Local media across the country take great interest in Statistics Denmark’s projection., Read more about relevance, Accuracy and reliability, The population projection is built on previous years’ development and is an estimate of the population development. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development seen in recent years will continue. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., In 2024 the projection for Denmark was 0.1 percentage points below actual population growth. To a wide extent, the uncertainty at municipal level is linked to the fact that local development plans and local decisions are not part of the model. Especially in 2020 and 2021, the COVID-19 pandemic has created uncertainty. In 2024, 60 per cent of the municipalities were within minus 0.5 percentage points of the actual population growth the first year. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics have been published as announced without delay in the month of May or June., Read more about timeliness and punctuality, Comparability, Each projection is a new set of statistics and must not be used for time series together with previous projections., With the projection 2010, Statistics Denmark made the projection for all of Denmark for the first time in collaboration with DREAM, and in connection with this, a switch was made to a new projection model based on DREAM’s previous model., Read more about comparability, Accessibility and clarity, The population projections are published in Nyt fra Danmarks Statistik (Statistics Denmark’s news series in Danish) under the subject , Population projections, . For further information, go to the subject page for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/population-projections

Documentation of statistics

Documentation of statistics: Retail Trade Index

Contact info, Short Term Statistics, Business Statistics , Kari Anne Janisse Arildsen , +45 40 43 38 12 , KJS@dst.dk , Get documentation of statistics as pdf, Retail Trade Index 2025 , Previous versions, Retail Trade Index 2024, Retail Trade Index 2021, Retail Trade Index 2020, Retail Trade Index 2019, Retail Trade Index 2018, Retail Trade Index 2017, Retail Trade Index 2016, Retail Trade Index 2015, Retail Trade Index 2014, The Retail Trade Index shows the development in turnover within the retail trade sector. The statistics is published monthly and is primarily used as short term indicator for private consumption as well as the general business cycle movement., Statistical presentation, Retail trade indices are published for 42 industries and for three commodity groups: food and other everyday commodities, clothing etc., and other commodities. Value and volume indices are produced. The volume index is made for the commodity groups and special industry aggregates for Eurostat. The statistics are based on survey data from all large retail trade enterprises and a sample of the remaining retail trade enterprises, which are requested to submit information about their turnover each month. Seasonal adjustment is performed of the three main commodity groups and the total., Read more about statistical presentation, Statistical processing, The survey is based on a sample of Danish retail trade enterprises. The sample includes approximately 2,200 enterprises, and at the time of the first publication, the figures for a month are based on responses from approximately 1.800 of these enterprises for the initial publication. , The sample consist of 42 subgroups and enterprises are sampled based on their share of the yearly turnover for the given subgroup. The companies are ranked from largest to smallest and the companies, whose rank constitutes the bottom 10 pct. of turnover for their subgroup when summed, are never selected to participate. The companies whose rank lies between 11 and 49 pct. of the subgroup’s yearly summed turnover, are randomly selected. Lastly, the larger firms whose turnover altogether lies in the top 50 pct. of the yearly turnover for their subgroup are always included in the sample. The companies are selected based on VAT-declarations to the Danish tax administration. , Read more about statistical processing, Relevance, Many users who monitor the current business trends take an interest in the published statistics of retail trade. The demand for the statistics is broadly based in trade associations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to the quarterly national accounts statistics and to Eurostat's pan-European statistics. The users view the retail trade index as an important short term indicator, and it often gets a lot of attention in the media and amongst other professional users. , Read more about relevance, Accuracy and reliability, The overall uncertainty of the total retail trade index is estimated to be less than 1 per cent. On commodity group level, the uncertainty of the group Food and other convenience goods is about the same, whereas for Clothing etc. it can be up to 3 per cent and for other consumer goods up to 2 per cent., The accuracy of the monthly growth rate is generally very high. For the total index, the uncertainty is estimated to be maximum 0.2 percentage points, while it can be a little higher on commodity group level., Read more about accuracy and reliability, Timeliness and punctuality, Indices on the main commodity groups are published already 22-28 days after the end of the month. This is rather quick for statistics based on a survey such as this. One month later the indices on the most detailed industry level are published. The punctuality is very high with delays happening very rarely. , Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1939, but they are not suited for long term time series analysis because of structural changes in the retail trade sector. The sample design and the calculation methods have been adjusted several times, last time in May 2012, where the time series back to 2000 where recalculated using new methods. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Retail Trade Index, . The Retail Trade Index also has a , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-index

Documentation of statistics

Documentation of statistics: Nights Spent at Marinas

Contact info, Short Term Statistics, Business Statistics , Majbrit Holst , +45 24 94 08 24 , mbj@dst.dk , Get documentation of statistics as pdf, Nights Spent at Marinas 2025 , Previous versions, Nights Spent at Marinas 2024, Nights Spent at Marinas 2023, Nights Spent at Marinas 2022, Nights Spent at Marinas 2021, Nights Spent at Marinas 2020, Nights Spent at Marinas 2019, Nights Spent at Marinas 2018, Nights Spent at Marinas 2017, The purpose of the survey Overnight stays in marinas is to supply information on the tourism activity in the Danish marinas. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. Furthermore the statistics is used to identify the most popular marina areas in Denmark. The survey is collected on a voluntary basis and is made in collaboration with VisitDenmark. The survey has been compiled since 1992. The survey went from mandatory to voluntary in 2004 which has had an impact on the response rate and thus also the comparability over time., Statistical presentation, The statistics regarding marinas is a monthly seasonally survey about boats and guest nights spent by visiting yachts in marinas in the months of May-September. The statistics are divided into nationalities of the guests, as well as geographically by regions, parts of the country and waters. In addition, there is an annual assessment of the capacity of marinas divided into parts of the country and the size of the marina. Numbers of Municipal distribution is published at the homepage of VisitDenmark., Read more about statistical presentation, Statistical processing, Data for the statistics is collected monthly for for the reference months May to September. The monthly statistics shows temporary data for the activity in the marinas. If a marina has not reported data from the same month the year before is imputed. At the end of the reference year the imputed data is replaced by reported final data for the year. The numbers of nights spent at marinas are calculated by using a average factor for the size of the crew. The average factor is based by a survey made by VisitDenmark in 2017. Data for the statistics is collected via an upload solution or by a electronis questionaire. 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 marina statistics was made voluntary from 2004 which may influence the comparability over time as well as the coverage. Some reports are based on a best estimate by the respondent and therefore in risk of being wrong. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published on a monthly basis for the reference months May-September approx. 40 days after the end of the reference month. Furthermore, an annual publication is made that is published approx. 75 days after the end of the reference year. The survey is published according to the scheduled time table and therefore has a high degree of punctuality., Read more about timeliness and punctuality, Comparability, From 2004 the statistics are voluntary which minimize the comparability over time. From 2007-20016 a new factor regarding the size of the crew has been phased in. From 2017 an onwards this factor is fully phased in. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statistics Denmark, . In the statbank the figures are published under the subject , Marinas, and , All 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 marinas 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/nights-spent-at-marinas

Documentation of statistics

Documentation of statistics: Forest Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Zörner , +45 24 41 73 66 , MIZ@dst.dk , Get documentation of statistics as pdf, Forest Accounts 2024 , Previous versions, Forest Accounts 2023, Forest Accounts 2022, Forest Accounts 2021, Forest Accounts 2020, Forest Accounts 2018, Forest Accounts 2016, The forest accounts are accounts for the Danish forests as a natural resource. The accounts comprise the forest land as well as the wood (timber) resource. The forest accounts were first published in 2017, as part of the Green National Accounts for Denmark. In 2021, the accounts have been extended back in time so all data series start in 1990., Statistical presentation, The forest accounts are an annual account of the Danish forest area and the growing stock in the forests. The accounts contain opening and closing stocks as well as balancing items broken down by region. Concerning the growing stock, the accounts are in physical units (cubic meters) as well as monetary units (DKK) and are published with a division into broadleaves and conifers, whereas the forest area is accounted only in physical units (square km). The accounts are published in the StatBank as well as in general publications from the Green National Accounts for Denmark., Read more about statistical presentation, Statistical processing, The forest accounts are produced separately for forest area and for growing stock. The accounts for the forest area are obtained almost directly from the Danish reporting on land cover under the Kyoto Protocol and from the calculation of the area of undisturbed forest provided by the Agency for Green Transition and Aquatic Environment. For the physical growing stock accounts, several sources are matched and harmonized in order to compile complete and consistent accounts. From the physical growing stock accounts, the monetary accounts (in DKK) are calculated through a valuation model based on estimated prices., Read more about statistical processing, Relevance, The forest accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in forest, natural resources, interactions between environment and economy, natural capital, sustainability etc. In the context of the United Nations and other international organizations, there is a large focus on green national accounts., Read more about relevance, Accuracy and reliability, The forest accounts are reliable estimates of the physical size of the resources, as well as the change in these over a number of years. Smaller variations from one year to the next may however reflect uncertainties rather than real changes. Especially for the monetary valuation of the growing stock (in DKK) there is significant uncertainty, both concerning the estimated prices as well as inherent in the method used which is based on a number of assumptions. The estimate for the value of the growing stock should therefore be considered a provisional estimate of the order of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The forest accounts are normally published 21 months after the reference period ends. Apart from minor adjustments of the target date, the accounts have always been published as planned., Read more about timeliness and punctuality, Comparability, The forest accounts are compiled according to the guidelines for asset accounts for natural resources from the UN statistical standard 'System of Environmental-Economic Accounting'. This ensures a high degree of comparability with the same type of accounts from other countries using this standard. The forest accounts are fully comparable across the published time series within the individual tables., Read more about comparability, Accessibility and clarity, The forest accounts are available in their most detailed form in the StatBank under the subject , Natural resource accounts, . General results are communicated through Statistics Denmark's various publications covering the Green National Accounts for Denmark. See also the topic page , Natural resource accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/forest-accounts

Documentation of statistics

Documentation of statistics: National Accounts: Quarterly

Contact info, National Accounts, Climate and Environment, Economic Statistics , Oliver Nygaard Sørensen , +45 51 83 40 39 , ons@dst.dk , Get documentation of statistics as pdf, National Accounts Quarterly 2025 Quarter 3 , Previous versions, National Accounts: Quarterly 2025 Quarter 2, The quarterly national accounts provide a comprehensive and up-to-date description of the economy and its development. The main focus is on short-term economic fluctuations, making it particularly useful for business cycle analysis, assessing economic conditions, and as a basis for economic models and forecasts. The statistics describe the economy as a whole, including transactions between households, businesses, and institutions, as well as transactions between Denmark and abroad. It has been compiled since 1988 and is fully comparable from first quarter 1990., Statistical presentation, The quarterly national accounts provide an overview of short-term activities and developments in the Danish economy. The quarterly national accounts include figures for key aggregates such as gross domestic product (GDP), private consumption, public consumption, investment, exports and imports, employment and wages, as well as profits and productivity across different industries. In addition, quarterly figures are available for a wide range of subcategories that can shed light on business cycle developments in the economy., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled based on almost all short-term statistics that describe sub-areas of the economy and employment. When the first estimate for a given period is prepared, not all information for that period is yet available. The calculations are therefore based on the structure of the recent final national accounts, which are projected using indicators from, for example, short-term statistics. As new sources become available, they are gradually incorporated into the quarterly national accounts according to a fixed schedule., Read more about statistical processing, Relevance, The quarterly national accounts are relevant for anyone working with short-term and cyclical macroeconomic conditions. The use of the quarterly accounts ranges by the economic ministries for planning, analysis, forecasting, and modelling purposes, to similar uses by business organisations and other interest groups, as well as for the public’s interest in understanding the structure and development of the economy., Feedback from users is continuously evaluated through the Economic Statistics user Committee, user group meetings, direct contact with users, and through international forums., Read more about relevance, Accuracy and reliability, The quarterly national accounts’ ability to accurately describe the economic reality depends partly on the uncertainty associated with the sources. Some areas are measured more precisely than others due to better source data. Initial releases may lack data or be preliminary, and errors in sources or their combination with the national accounts system can affect reliability. Unforeseen economic shocks can increase uncertainty, but the accounts system’s consolidation of information helps reduce it., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the quarterly national accounts is published 50 days after the end of the quarter, and a revised version is published 90 days after the end of the quarter. In connection with the publication of the fourth quarter at the end of February, the first version of the annual national accounts is also released. The national accounts are published on schedule., Read more about timeliness and punctuality, Comparability, The quarterly national accounts follow international guidelines (ESA 2010, implemented in 2014) and are comparable across countries. They cover all parts of the economy, and most economic statistics have their counterpart here. However, caution is advised when comparing with other statistics due to differences in definitions and coverage. The national accounts are fully consistent with the balance of payments and general government., Read more about comparability, Accessibility and clarity, The quarterly national accounts statistics are published in the StatBank under , Economy, and National accounts. The publications are accompanied by , Danish press releases, - in Danish., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--quarterly

Documentation of statistics

Documentation of statistics: Job Vacancies

Contact info, Labour Market, Social Statistics , Monica Wiese Christensen , +45 21 73 34 69 , MWC@dst.dk , Get documentation of statistics as pdf, Job Vacancies 2025 Quarter 3 , Previous versions, Job Vacancies 2025 Quarter 2, Job Vacancies 2025 Quarter 1, Job Vacancies 2024 Quarter 4, Job Vacancies 2024 Quarter 3, Job Vacancies 2024 Quarter 2, Job Vacancies 2024 Quarter 1, Job Vacancies 2023 Quarter 4, Job Vacancies 2023 Quarter 3, Job Vacancies 2023 Quarter 2, Job Vacancies 2023 Quarter 1, Job Vacancies 2022 Quarter 4, Job Vacancies 2022 Quarter 3, Job Vacancies 2022 Quarter 2, Job Vacancies 2022 Quarter 1, Job Vacancies 2021 Quarter 4, Job Vacancies 2021 Quarter 3, Job Vacancies 2021 Quarter 2, Job Vacancies 2021 Quarter 1, Job Vacancies 2020 Quarter 4, Job Vacancies 2020 Quarter 3, Job Vacancies 2020 Quarter 2, Job Vacancies 2020 Quarter 1, Job Vacancies 2019 Quarter 4, Job Vacancies 2019 Quarter 3, Job Vacancies 2019 Quarter 2, Job Vacancies 2019 Quarter 1, Job Vacancies 2018 Quarter 4, Job Vacancies 2018 Quarter 3, Job Vacancies 2018 Quarter 2, Job Vacancies 2018 Quarter 1, Job Vacancies 2017 Quarter 4, Job Vacancies 2017 Quarter 3, Job Vacancies 2017 Quarter 2, Job Vacancies 2017 Quarter 1, Job Vacancies 2016 Quarter 4, Job Vacancies 2016 Quarter 3, Job Vacancies 2016 Quarter 2, Job Vacancies 2016 Quarter 1, Job Vacancies 2015 Quarter 4, Job Vacancies 2015 Quarter 3, Job Vacancies 2015 Quarter 2, Job Vacancies 2015 Quarter 1, Job Vacancies 2014 Quarter 4, The purpose of the statistics is to analyze the development in the number of job vacancies held by employers in the Danish labour market. The job vacancy statistics is an important labour market indicator as businesses typically reduce the number of job vacancies before they begin the dismissal of employees. Data on job vacancies is collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Statistical presentation, The statistics shows the quarterly development in the real number of job vacancies and job vacancy rates in relation to the sum of job vacancies and occupied posts in the Danish labour market. The statistics are broken into economic activity and size, which makes it possible to monitor and analyse the scope and structure of the demand for labour by industry and size level of the workplaces. Furthermore, the number of job vacancies and job vacancy rates at regional level are estimated., Read more about statistical presentation, Statistical processing, The statistics are compiled with use off a digital questionnaire, with a quarterly survey population of approximately 7,000 local units . Data are corrected for errors and for not reported data an imputation is conducted. , Read more about statistical processing, Relevance, The users of the statistics are primary the press, private companies, private persons and Eurostat. The statistic is used in analysis about the demand for labour and in the public debate. Data on job vacancies are collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Read more about relevance, Accuracy and reliability, As with all other sample-based statistics, there are some sample errors associated with the estimates. As is the case in other EU Member States, the variation coefficient (CV), which is the standard deviation in relation to the estimate, is used in calculating the sample errors. For the total number of occupied posts the variation coefficient normally is under 1 per cent, while for the total number of job vacancies the variation coefficient is 3-5 per cent. For the NACE sections and size classes the CV are relatively high. This is due to the great variations between the number of job vacancies reported and the many data reported concerning zero vacancies.., Read more about accuracy and reliability, Timeliness and punctuality, Data are released around 75 days after the reference quarter. The punctuality is very high, as delays in planned releases happen very rarely., Read more about timeliness and punctuality, Comparability, From the third quarter of 2012 a new more updated population is used in the enumeration process. The population is drawn from the ESR-register and contains information on the number of occupied posts, which are only three quarters old compared to the former population which was based on a less updated register. The changed enumeration process is estimated to have impact on the number of job vacancies, but not on the JVR (Job Vacancy Rate), which means that the number of job vacancies are not comparable historically in contrast to the JVR., Read more about comparability, Accessibility and clarity, Data are published quarterly in News from Statistics Denmark. Figures are published in the tables , LSK01, , , LSK02, and , LSK03, . See more at the statistics subject page , Job vancancies, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/job-vacancies

Documentation of statistics