Home

Search result

Showing results 991 - 1000 of 1173

Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions, Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

Documentation of statistics

Documentation of statistics: Climate footprint (experimental statistics)

Contact info, National Accounts, Climate and Environment , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Climate footprint (experimental statistics) 2021 , Previous versions, The purpose of the statistics is to measure the global emission of greenhouse gases from the supply chains for Danish final use (Danish consumption, investment and export). It illustrates correlations between Danish final use and emissions of greenhouse gases from Danish and international production. Global emission of greenhouse gases from Danish consumption and investment constitutes Denmark's Climate Footprint. The statistic is experimental and have been prepared since 2021 in collaboration with the Danish Energy Agency, which uses it for the annual publication "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Statistical presentation, The statistics show the amount of greenhouse gas that has been emitted in the supply chains for Danish final use annually from 1990 onwards. The emissions are distributed by type of final use, emitting industries and countries, as well as by supplying industries., Read more about statistical presentation, Statistical processing, The climate footprint is calculated with a multi-regional environmental economic input-output (MRIO) model that links data from Statistics Denmark on Danish production and greenhouse gas emissions with data from the international database EXIOBASE on international production and greenhouse gas emissions., Read more about statistical processing, Relevance, The climate footprint is relevant for everyone who is interested in relations between Danish consumption and investment and global emissions of greenhouse gases. The climate footprint is prepared in collaboration with the Danish Energy Agency's Center for System Analysis, which uses it in their annual report "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is not as high as other statistics from Statistics Denmark, which are based on directly observable data. The majority of the figures in this statistic are the result of calculations with Danish and international input-output models. The international input-output model in particular is uncertain because it is a compilation of figures from many countries of uneven quality. However, it is assessed that the precision is as good as it can be at the present time, when available sources and methods are taken into account., Read more about accuracy and reliability, Timeliness and punctuality, The climate footprint is an experimental statistic and does not yet have a fixed publication time. When a publication date is determined, it is published in Statistics Denmark's publication calendar., Read more about timeliness and punctuality, Comparability, The statistics are compiled for 1990 and onwards and are comparable over time. The statistics have been produced in collaboration with the Danish Energy Agency and are used for the Danish Energy Agency's report "Danmarks Globale Klimapåvirkning – Global Afrapportering". there will therefore be full agreement between results published by the Danish Energy Agency and Statistics Denmark., As there is not yet full international agreement on methods and data bases for calculating climate footprints, there will not necessarily be full comparability with the calculations of other institutions or other countries., Read more about comparability, Accessibility and clarity, In the Statbank, the climate footprint is published under the subject , Energy and emissions, in the tables AFTRYK1 and AFTRYK2., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/climate-footprint--experimental-statistics-

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: Workplaces and jobs

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Workplaces and jobs 2024 , Previous versions, Workplaces and jobs 2023, Workplaces and jobs 2022, Workplaces and jobs 2021, Workplaces and jobs 2020, Employment in Businesses 2019, Employment in Businesses 2018, Employment in Businesses 2017, Employment in Businesses 2016, Employment in Businesses 2015, Employment in Businesses 2012, Employment in Businesses 2013, The purpose of the statistics on workplaces and jobs is to provide insight into the number of workplaces and the number of jobs at these workplaces as of the end of November. Additionally, full-time employment for the year and the annual wage sum are published. The statistics can be broken down by industry, sector, workplace municipality and workplace size. The statistics have been compiled since 1990 and replaced the register-based workplace statistics, which covered the period from 1980 to 1989, Statistical presentation, The statistics on workplaces and jobs are published annually and include information on the number of workplaces and jobs as of the end of November, as well as figures on full-time employment and total wages for the year. Jobs may be held by self-employed persons, assisting spouses, or employees. The statistics can be disaggregated by municipality, industry, sector and workplace size., Read more about statistical presentation, Statistical processing, The Workplaces and Jobs statistics are compiled based on the Labour Market Accounts (AMR_UN). Subsequent data processing and error correction are carried out., Read more about statistical processing, Relevance, The statistic is used for planning and analysis, among other purposes. Furthermore, the statistics serve as input to Statistics Denmark's Business Register., Read more about relevance, Accuracy and reliability, The primary data source for information on jobs and wages for employees, through the Labour Market Accounts, is the e-income register. This register is based on information reported by employers to the tax authorities. Since it includes data on taxable items such as wages, the quality of the information is high. The reports cover the entire relevant population, meaning it does not carry the same uncertainty as statistics based on random sampling. For this reason, the statistic is considered to be of high quality., Read more about accuracy and reliability, Timeliness and punctuality, Until 2016, the statistic was published 16–18 months after the reference date. From 2017 onwards, it has been published 10–11 months after the reference date. The statistic is generally released on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 1990, but with breaks in the time series. Breaks occur in 2002, 2005, 2008, and 2022. From 2022, there is a change in how it is determined whether a business is truly active, which means that the number of workplaces has increased slightly compared with the previous method of calculation., Read more about comparability, Accessibility and clarity, Figures are published under the subject , Workplaces and jobs, . For more information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/workplaces-and-jobs

Documentation of statistics

Documentation of statistics: Consumer Credit

Contact info, Government Finances, Economic Statistics , Jesper Søgaard Dreesen , +45 51 64 92 61 , jsd@dst.dk , Get documentation of statistics as pdf, Consumer Credit 2023 , Previous versions, Consumer Credit 2022, Consumer Credit 2021, Consumer Credit 2020, Consumer Credit 2019, Consumer Credit 2018, Consumer Credit 2017, Consumer Credit 2016, Consumer Credit 2015, These statistics Consumer credit show the volume and development of consumer credit and credit cards services. With its short production time of 35 days after the end of the quarter, these statistics can serve as a business cycle indicator for credit intermediation in Denmark. These statistics have been compiled since 1999 and are in their current form comparable from 2008 onwards., Statistical presentation, These statistics are a quarterly estimate of consumer credit in DKK million, provided by financial and non-financial corporations inside and outside the banking sector. The consumer credit is distributed by balance on purchase cards and debit cards, including gasoline companies, as well as on short-term loans and credit against collateral., Read more about statistical presentation, Statistical processing, Data is collected directly from consumer credit companies, while data from the banking sector is gathered from Danmarks Nationalbank. The data is gathered electronically through virk.dk. Consumer credit within the banking sector is corrected for double counting. Once data is collected, a manual validation of the data is carried out before the publication of the aggregated figures., Read more about statistical processing, Relevance, The statistic contributes to the general information on the Danish lending and may, given the short time of production, serve as a business cycle indicator. Therefore it is broadly oriented towards the different sectors: private citizens, businesses, politicians, authorities or educational institutions. Data regarding user satisfaction is not gathered at this time., Read more about relevance, Accuracy and reliability, The statistic covers all providers of consumer credit and debit payments and the response rate is 100 per cent. There will be no revisions to the statistics. However, there may be some uncertainty associated with coverage error, if new companies aren't observed and gathered in time before publication., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 35 days. The statistic is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are statistics back to 1999 on consumer credit. 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, These statistics are published in the Statbank under , Consumer Credit, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-credit

Documentation of statistics

Documentation of statistics: Business and Management Consultancy Activities

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Business and Management Consultancy Activities 2022 , Previous versions, Business and Management Consultancy Activities 2020, Business and Management Consultancy Activities 2018, Business and Management Consultancy Activities 2016, Business and Management Consultancy Activities 2014, Business and Management Consultancy Activities 2012, The purpose of the statistics is to provide information about the activities in the sector Business and management consultancy activities and thereby improve the knowledge of the sector. Moreover, the purpose is to improve the information in the national accounts statistics regarding the service sector, and finally it contributes to the continuing maintenance of activity codes in the Central Business Register. The statistics carries out every two years. It is a sampling and questionnaire-based statistics. The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2005., Statistical presentation, The statistics provides information on the distribution of total turnover (and export) on products and services in the sector Business and management consultancy activities. Furthermore the statistics provides information on the turnover and export divided by clients and residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by web from 385 enterprises for the sector , Business and Management Consultancy Activities, . In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, Overall, the uncertainty of the level of the total turnover is estimated below 1 per cent. The uncertainty varies widely between services and is significantly higher than the uncertainty of the total turnover. For example the service "Consulting in finance (except corporate tax)" has a sampling uncertainty of 21 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published every second year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. Before the survey year 2004 the sector , Business and management consultancy activities, has been studied with , Accounting, bookkeeping and auditing activities, . It can be problems in comparing figures over time. The questionnaire, the sample design and the calculation method have been adjusted a few time, latest in 2013, where data for 2012 has been backcasted using new method., Read more about comparability, Accessibility and clarity, These statistics are published in a collective Danish press release for services. The figures can be found in the StatBank under , Business and management consultancy activities, . For more information go to the subject page for the , Service sector, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-and-management-consultancy-activities

Documentation of statistics

Documentation of statistics: Music Schools

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, Music Schools 2024 , Previous versions, Music Schools 2023, Music Schools 2022, Music Schools 2020/2021, Music Schools 2019/2020, Music Schools 2018/2019, Music Schools 2017/2018, Music Schools 2016/2017, Music Schools 2015/2016, Music Schools 2014/2015, Music Schools 2014, Music Schools 2013, Statistics on music schools show the activities of music schools in Denmark and include various accounts of student activities and key figures for staff and finances. The statistics comprise municipal and independent music schools that receive state operating grants and are prepared for the 2012/13 season and onwards by Statistics Denmark on behalf of the Ministry of Culture. Before 2012, the Danish Agency for Libraries and Media (now: the Culture and Palaces Agency) produced similar statistics. , Statistical presentation, The statistics present the activities of the municipal music schools in Denmark detailing the volume of instrument classes and ensembles as well as key figures for staff and finances. The results are primarily presented on the level of municipalities., Read more about statistical presentation, Statistical processing, Data is collected from music schools through a survey questionnaire and through a transfer of detailed data from the music schools’ student administration systems. Moreover, administrative data on salaries are collected from the Culture and Palace Agency. Data is validated through registry lookups and comparisons with previous reports, and data is tabulated and disseminated through Statbank, Statistics Denmark’s free online tool and database for statistics., Read more about statistical processing, Relevance, The statistics are primarily relevant for interest organizations and authorities dealing with music schools, but are also of general interest. The statistics make it possible to follow the development in activities and organization of the music schools., Read more about relevance, Accuracy and reliability, The statistics cover municipal and independent music schools, which, pursuant to the Music Act, receive state reimbursement for the music school business. Data regarding students, employees and finances originate from the schools' administrative systems, which form the basis for, for example, remuneration and student payments. All students are counted, regardless of how long they have participated in a subject, and administrative changes can therefore lead to overestimation of activity or class. Other information about the school, collaborations, projects and events is reported via questionnaire. Errors and omissions in these reports may occur., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on the scheduled date about 7 months after the expiration of the reference time., Read more about timeliness and punctuality, Comparability, These statistics are not directly comparable with previous statistics performed at music schools due to differences in the applied methods. The European Music School Union publishes results concerning music school activity in other European countries. Music schools are part of the business statistics for the industry "Cultural Education" (industry branch code DB07: 86.52.00)., 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 , Music Schools, . For further information, go to the , subject page, . , Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Rail Transport

Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Rail Transport 2025 , Previous versions, Rail Transport 2024, Rail Transport 2023, Rail Transport 2022, Rail Transport 2021, Rail Transport 2020, Rail Transport 2019, Rail Transport 2018, Rail Transport 2017, Rail Transport 2016, Rail Transport 2015, Rail Transport 2014, Rail transport statistics covers transport of goods and passengers by rail, investments in rail infrastructure and vehicles, rail traffic and accidents. The statistics is used for policy work in the EU and is compliant with the EU-regulation on the topic which secures that it can be compared to other EU-countries. Furthermore it is used by others with interest in the railroad sector this includes government bodies., Statistical presentation, Rail transport statistics contains information passenger and goods transport on Danish rail network irrespective of the nationality of the operator on a quarterly basis. On a yearly basis the statistics contains information on railway infrastructure and rolling vehicle stock, investments in infrastructure and rolling vehicles, and rail accidents. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected through the online data collection portal, Virk.dk, quarterly from all rail operators with transport on the Danish rail network including private railways and light rail lines. Data are validated with regard to internal consistency in the report and the development in the time series on both micro (enterprise) and macro (aggregated statistics) level. No imputation (the statistics are only published when all data is collected), enumeration or seasonally adjustment are done., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, ministries and consultancies, and it is the impression that the statistics is of relevance to the users., The statistics are primarily used by EU for policy work but also other with interest on the subject uses it. This includes government bodies., Read more about relevance, Accuracy and reliability, Uncertainty is estimated to be relative small since data collection covers all enterprises operating trains on the Danish rail network., Only minor revisions are done to the first preliminary publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 73-74 days after the reference period., The statistics are always published at the pre-announced time., Read more about timeliness and punctuality, Comparability, Comparable time series for all EU-member states and EFTA-member states are published by Eurostat. , There is no significant breaks in the existing time series. The time series for personkilometres for the Metro has a minor break between 2016 and 2017 due to changes in methodology., Read more about comparability, Accessibility and clarity, The statistics are published yearly in Nyt fra Danmarks Statistik (Statistical news) , and all data is available in , StatBank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rail-transport

Documentation of statistics

Documentation of statistics: Innovation in the private sector

Contact info, Science, Technology and Culture, Business Statistics , David Boysen Jensen , +45 61 50 73 82 , DBY@dst.dk , Get documentation of statistics as pdf, Innovation in the private sector 2024 , Previous versions, Innovation in the private sector 2022, Innovation in the private sector 2020, Innovation in the private sector 2018, Innovation in the private sector 2016, Innovation in the private sector 2015, Innovation Statistics 2014, Innovation Statistics 2013, Innovation Statistics 2012, The purpose of the innovation survey is to examine the scope, the nature and the effect of innovation in the business sector including the innovation activities. Data will be collected enabling comparisons over time. The survey is conducted in accordance with the EU and OECD guidelines for innovation statistics described in the Oslo Manual. Danish data are thereby comparable with data from other EU countries. From the reference year 2007 statistics are compiled on a yearly basis, but only directly comparable from 2020 forward., Statistical presentation, Innovation in the enterprise sector is a yearly statistics on resources used for R&D and share of innovative enterprises. The statistics is distributed by sector, size class and region., Read more about statistical presentation, Statistical processing, Data for this statistics are collected via questionnaires for app. 3,500 respondents among a population of app. 22,000 enterprises. The material is validated already during the response from the enterprise, and afterwards followed by computer-aided validation and manual validation. Imputations and calibrated weighting is also a part of the treatment of data., Read more about statistical processing, Relevance, The statistics is used by ministries, business organizations, researchers, the media, private enterprises and students. It is used for research, publications from ministries and for international comparison. Indicators based on the statistics are included in the EU European Innovation Scoreboard, which is part of the Europe2020 strategy. , Read more about relevance, Accuracy and reliability, Errors in the data reports and problems for companies with determining exact amounts that are used on innovation, and when it is innovation and innovation activities., Coefficient of variation (CV) for 2024: - Innovation expenditure, other innovation expenditure: 2%, Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published less than a year after the end of the reference period. The statistics for 2024 is published 11 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics is comparable from 2007 and onwards. Data is delivered to Eurostat, the statistical office of the EU, and to OECD, who are both publishing aggregated data in their databases., The statistics is compiled according to an EU-regulation, describing in details which variables to deliver and for which size classes, types of activities etc. The Danish statistics is therefore comparable with the similar statistics of other EU-countries, provided that they follow the regulation., The statistics is to a certain degree comparable with the statistics on innovation in the public sector., Read more about comparability, Accessibility and clarity, The statistics is 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 , Innovation, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/innovation-in-the-private-sector

Documentation of statistics

Documentation of statistics: Announcements of forced sales of real property

Contact info, Prices and Consumption, Economic Statistics , Maya Drewsen , +45 20 36 69 89 , MDR@dst.dk , Get documentation of statistics as pdf, Announcements of forced sales of real property 2026 , Previous versions, Announcements of forced sales of real property 2025, Announcements of forced sales of real property 2024, Announcements of forced sales of real property 2023, Announcements of forced sales of real property 2022, Announcements of forced sales of real property 2021, Announcements of forced sales of real property 2020, Announcements of forced sales of real property 2019, Announcements of forced sales of real property 2018, Announcements of forced sales of real property 2017, Announcements of forced sales of real property 2016, Announcements of forced sales of real property 2015, The purpose of the statistics is to document the trend in the number of announced forced sales in the Danish Official Gazette. The development in this figure is considered to be an important economic indicator. The quarterly statistics figures are comparable from 1979 onwards, while the monthly figures are comparable from 1993 onwards. The annual municipal figures are comparable from 2012 onwards. , Statistical presentation, These statistics document the development in the number of forced sales of real property, announced in the Danish Official Gazette, broken down by type of property and geographical location., Read more about statistical presentation, Statistical processing, Data for these statistics are collected electronically from the Danish Official Gazette. To avoid major fluctuations, Statistics Denmark performs trouble-shooting of the collected data to ensure that the same owner is only counted once within the month in question. Furthermore, trouble-shooting is performed to make sure that second announcements about the same real property, cancellations, confirmations, reprints, change of court date, discontinuance, affirmation, attachment, delay, default etc. are not included in the statistics. Subsequently, the forced sales are broken down into the various property categories and geographical areas. , Read more about statistical processing, Relevance, The statistics are used by public and private decision-makers to assess the trend in the number of announced forced sales of real property. , Read more about relevance, Accuracy and reliability, The forced sales of real property statistics provide a monthly total count of the number of announced forced sales of real property in the Danish Official Gazette with unique owners within the month in question. In this way it is ensured that major fluctuations in the statistics are minimised. The primary purpose of this set of statistics is to be informative regarding trends and it is not an assessment of the number of forced sales actually carried out. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published four weekdays after the expiry of the month., Read more about timeliness and punctuality, Comparability, The statistics are comparable at a national level since 1979. Due to the structural reform in 2007, there is a geographical breach of data., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Forced sales of real property, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/announcements-of-forced-sales-of-real-property

Documentation of statistics