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      Documentation of statistics: Retail Trade, by Goods (Discontinued)

      Contact info, Business Dynamics , Get documentation of statistics as pdf, Retail Trade, by Goods 2012 , Previous versions, The purpose of the analysis is to shed light on the turnover structures of retail trade. Surveys have been conducted for 1998, 2002 and 2007, and the results from which have been published in Statistical News, in the series Service Industry, 1999:24, 2003:65 and 2008:25, respectively., Statistical presentation, The statistics provide data on the structure of retail trade turnover, industry turnover breakdown by product groups as well as product group retail sales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Retail Trade. 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 results are of interest to those monitoring the current business trends as well as the structural developments within retail trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within retail trade, as the results may allow them to compare their own business to their sector of trade or the retail trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 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, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 1998, 2002, 2007 and 2012. Since the 1998 survey, changes have been made in both calculation method and industry and product group nomenclatures. , Comparisons across reference years should be done with caution and taking into that statistical nomenclatures and methods have changed., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the , StatBank, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Business Services in the Sector for Technical Testing and Analysis

      Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Technical Testing and Analysis 2023 , Previous versions, Business Services in the Sector for Technical Testing and Analysis 2019, Business Services in the Sector for Technical Testing and Analysis 2017, Business Services in the Sector for Technical Testing and Analysis 2015, Business Services in the Sector for Technical Testing and Analysis 2013, The purpose of the statistics Technical testing and analysis is to provide information on turnover and types of services in enterprises with Technical testing and analysis as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). , The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2003. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by 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 online questionnaire from a total count of enterprises in the sector Technical testing and analysis. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. 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 turnover from the Accounts Statistics for Non-Agricultural Private Sector 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., 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, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once 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. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-technical-testing-and-analysis

      Documentation of statistics

      Documentation of statistics: Services to adults with disability and marginalised adults

      Contact info, Personal Finances and Welfare, Social Statistics , Klaus Birch Lundgaard , +45 51 14 62 78 , KLU@dst.dk , Get documentation of statistics as pdf, Services to adults with disability and marginalised adults 2024 , Previous versions, Services to adults with disability and marginalised adults 2023, Services to adults with disability and marginalised adults 2022, Services to adults with disability and marginalised adults 2021, Services to adults with disability and marginalised adults 2020, Disability and marginalised adults 2019, Disability and marginalised adults 2018, Handicap documentation 2017, Handicap documentation 2016, Handicap documentation 2015, The purpose of the statistics Disability and marginalized adults is to describe the extent of the selected services, provided in accordance with the Act on Social Services to adults with disability or marginalized adults . The statistics have been produced since 2015. These statistics replaced the information about disability services that the municipalities previously reported to the statistics Social Resources. , Statistical presentation, The statistics are a quarterly summary of selected services in the Act on Social Services, provided to adults with disability or marginalized adults. The statistics contain information on how many services are provided, either per quarters or years, as well as the number of recipients, based on their background and living conditions. Furthermore, information about the recipients' target groups (i.e. type of disability or vulnerability) is included., Read more about statistical presentation, Statistical processing, The municipalities that refer persons to the selected services report data to Statistics Denmark. For the majority of the municipalities this is done monthly where data are reported automatically via the the administrative systems used by the municipalities. However, some municipalities report all or a part of the data via Statistics Denmark's online reporting service. The reported data are validated by the municipalities and they have to approve that their data can be used for statistics and publication. Before the statistics are published, Statistics Denmark removes invalid data and adjusts different varieties of overlapping courses., Read more about statistical processing, Relevance, The statistics are relevant for ministries, researchers and disability organizations as a basis for analyzes of the development in the number of services provided and the recipients’ characteristics and living conditions., Read more about relevance, Accuracy and reliability, This publication is based on data from 98 municipalities. Precision and reliability are primarily affected by inadequate reports from the municipalities. This is partly due to the fact that the municipalities experience technical challenges in setting up the system-to-system solutions used for data reporting., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistics' time series is comparable from 4th quarter of 2013 to 4th quarter of 2023. However, the data quality is not known until Q1 2015 and data are only complete from Q1 2018 to Q4 2023 inclusive. The statistics can best be compared to the data on disability services that were previously reported to the statistics Social resources. The data are not directly comparable with international statistics. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, and are also shown in a map of the country's municipalities created by Statistics Denmark , Kommunekort, . In StatBank Denmark, the figures are published under the topic , disability, . More information can be found on the subject page , Disability and marginalized adults, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/services-to-adults-with-disability-and-marginalised-adults

      Documentation of statistics

      Documentation of statistics: Shelters

      Contact info, Personal Finances and Welfare, Social Statistics , Chris Cornelia Friis Christiansen , +45 23 13 05 91 , CCC@dst.dk , Get documentation of statistics as pdf, Shelters 2024 , Previous versions, Shelters 2023, Shelters 2022, Shelters 2021, Shelters 2020, Shelters 2019, Shelters 2018, Shelters 2017, Shelters 2015, The purpose of the statistics Shelters is to provide information about the users of the types of accommodation as prescribed by section 110 of the Social Services Act, which includes reception centers etc. The statistics were originally established by the National Board of Social Appeals in 1999. Until July 1st 2016, the Appeals Board managed the statistics, after which it was transferred to Statistics Denmark. , Statistical presentation, The statistics provides an annual statement on number of nights and number of persons who have spent the night on an accommodation established in accordance with section 110 of the Service Act. The statistics are distributed by age, sex, number of nights and number of stays., Read more about statistical presentation, Statistical processing, The received data are reviewed for obvious errors, such as date format and incorrect time periods. The received data are processed with the aim to gather data into one dataset. When all datasets are combined, duplicates, missing departure dates, etc. are validated. Data are linked to the population register in Statistics Denmark for further information about the users., Read more about statistical processing, Relevance, The statistic is relevant for authorities, analysts and scientists, who wants knowledge about the demand and capacity of shelters. , Read more about relevance, Accuracy and reliability, Submitting data is required by law. The number of persons who use a type of accommodation as prescribed by section 110 of the Social Services during the year is measured fairly accurately. In some cases, completion is lacking in categories such as where the citizen is referred from, how the discharge has been taken place and where the user has been discharged to. In these cases, "unknown" is used in regard to the validation. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approx. 6 months after the end of the reference period. The statistics for 2024 has been published without delay in relation to the planned time of publication., Read more about timeliness and punctuality, Comparability, The Statistics has been maintained since 1999, but is comparable in its current form since 2021. Because of a data breach in 2021, data before and after 2021 should be compared with reservations. Men who have a stay at a crisis center by section 109 will no longer be included in the statistic by July 1, 2024. They will be included in the section 109 statistics. In addition, there has been removed and included new variables, why data breach will occur in these informations. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Shelters and care homes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Health care expenditures (SHA)

      Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Health care expenditures (SHA) 2024 , Previous versions, Health care expenditures (SHA) 2023, Health care expenditures (SHA) 2022, Health care expenditures (SHA) 2021, The statistics shows consumption expenditures on health care goods and services distributed across function, provider and financing scheme. The statistics follow the international manual System of Health Accounts (SHA2011), which is made in collaboration between OECD, Eurostat and WHO. The statistics are included in OECD's annual publication Health at a Glance. Data are consistent and comparable for the entire time period. , Statistical presentation, Health care expenditures is an annual and three-dimensional statistics of health care consumption expenditures in Denmark. The consumption expenditures are distributed across different health functions, providers and financing schemes, which makes it possible to identify what is consumed, where it is consumed, and who has financed the consumption. The statistics is shown in millions DKK., Read more about statistical presentation, Statistical processing, Data for this statistic are collected annually from a number of both internal and external sources using data extracts and data deliveries. The collected data are validated on a macro level by controls of time series and different reasonableness checks. When data have been validated, the classification according to SHA2011 begins followed by imposed weights gathered from supplementary sources. Lastly, data are integrated and compiled into the final result. , Read more about statistical processing, Relevance, The statistic is relevant for professionals and analysts. The statistic is included in the annual publication by OECD , Health at a Glance, and will be launched in OECD's database OECD.Stat. Professionals and analysts use the statistics to get a detailed overview of the consumption of health services in Denmark. , Read more about relevance, Accuracy and reliability, The overall accuracy of the statistics is considered to be high, as the primary data sources is constituted by the general government finances. However, there are uncertainty associated with the use of a few supplementary sources such as the Household Budget Survey. Moreover, misclassifications can occur as it can be difficult to determine whether some areas are within the scope of the SHA. This implies that the uncertainty increases with the level of detail. The accuracy is therefore highest for the overall SHA-categories., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published for the first time four months after the end of the reference period and without delays in relation to planned release times. , Read more about timeliness and punctuality, Comparability, The reporting burden to the OECD, Eurostat, and WHO was acquired from the Ministry of Health in July 2019. The statistic produced according to European guidelines in relation to the manual , System of Health Accounts (SHA2011), . The statistics are fully comparable over time and across countries for the entire time period., Read more about comparability, Accessibility and clarity, The statistics is published in , New from Statistics Denmark, and in the StatBank under , Health care expenditures, . For more information see the , subject page, . In addition, the figures are included in OECD's annual publication , Health at a Glance, . Moreover, data is published by OECD, Eurostat and WHO. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-care-expenditures--sha-

      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: Working time accounts

      Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Working time accounts 2025 , Previous versions, Working time accounts 2024, Working time accounts 2023, Working time accounts 2022, Working time accounts 2021, Working time accounts 2020, Working time accounts 2019, Working time accounts 2018, Working time accounts 2017, Working time accounts 2016, The purpose of the Danish working time accounts (WTA) is to compile time series on hours worked and calculate wage and employment data for companies registered in Denmark. The statistics integrate and aggregate existing statistics, including the Labor Market Accounts (LMA) and Employees, and it is comparable since 2008., Statistical presentation, The statistics is a quarterly and yearly calculation of hours actually worked, number of employees, number of jobs and wages in DKK million. The statistics are distributed by industry, sector, whether you are an employee or self-employed, and by gender., Read more about statistical presentation, Statistical processing, The population and concepts as well as levels of the variables are defined by annual structural data sources. Short-term data sources are applied in projections to periods for which structural data are not available. Summation of the data is conducted before they are projected. Data is seasonally adjusted for national use., In the new EU statistics under Council Regulation (EC) No 2019/2152 of 27 November 2019 concerning European Business Statistics, data are trade day adjusted before being compiled into indices, Read more about statistical processing, Relevance, The statistics is relevant for users interested in social and economic statistics., Read more about relevance, Accuracy and reliability, The statistics is mainly based on the Labour Market Accounts (LMA). LMA integrates and harmonizes a wide range of data sources in a statistical system. This means that LMA can illustrate the labour market better than individual statistics can. LMA is at the same time based on a total census of the population, so there is not the same uncertainty as with statistics based on sampling. The quality of the statistics has also been significantly improved by the fact that the projection period has been reduced compared to previous versions., Read more about accuracy and reliability, Timeliness and punctuality, The annual Working Time Accounts (WTA) are published 6 months after the reference year. The quarterly WTA are published two months and 15 days after the reference quarter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Working Time Accounts (WTA) provide data for Council Regulation (EC) No 2019/2152 of 27 November 2019 and for the National Accounts (SNA/ESA). Changes in these will typically lead to changes in the ATR. For an explanation of transition tables between ATR and SNA/ESA, see National Accounts publications., Read more about comparability, Accessibility and clarity, The statistics are published in in the , Statbank Denmark, . You can read more on our , website on the Working Time Account, WTA, and our , website on employment, ., S.6.2. Data sharing: In addition to quarterly figures to Eurostat (STS and indirectly via ESA), data from the Danish WTA are also transmitted to OECD (regional questionnaire) and ILO (ILOSTAT database) although the latter are transmitted in annual figures only., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: SME Access to Finance

      Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

      Documentation of statistics

      Documentation of statistics: International Trade in Goods by Enterprise Characteristics

      Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Goods by Enterprise Characteristics 2022 , Previous versions, International Trade in Goods by Enterprise Characteristics 2021, International Trade in Goods by Enterprise Characteristics 2019, International Trade in Goods by Enterprise Characteristics 2018, International Trade in Goods by Enterprise Characteristics 2017, The purpose of Trade in Goods by Enterprise Characteristics (TEC) is to describe enterprises engaging in foreign trade, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2010 are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Goods by Enterprise Characteristics is an annual measurement of enterprises involved in foreign trade and their characteristics, stated in number of enterprises and value. The statistics are grouped by economic activity, enterprise size, partner countries, ownership, type of trade and concentration of trade until 2022. From 2023 the statistics will be a measurement of enterprises involved in foreign trade and their characteristics, stated in value and they will be grouped by economic activity, items, enterprise size and ownership. The statistics can be found in our statbank under the subject External Economy. , Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in Goods (ITGS) with Business register data. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, These statistics are relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to external trade in Denmark., Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Goods by Enterprise Characteristics is closely related to the accuracy of International Trade in Goods Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Goods Statistics., There may be changes in enterprise characteristics (e.g. size, industry and ownership) during a given year, which can give rise to a change the trade flows, but the statistics reflect the characteristics at the end of the year., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, These statistics have been disseminated since 2014 and contains values from 2010 and onwards. It is in its present form comparable from 2010 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other EU countries published by Eurostat. The comparability can be influenced by the difference between the general- and special trade system., Read more about comparability, Accessibility and clarity, These statistics are published annual 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 , International Trade in Goods, . The statistics can also be found in various publications and analysis’ and it is possible to gain access to microdata through our program for authorized research institutions., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-goods-by-enterprise-characteristics

      Documentation of statistics

      Documentation of statistics: General Enterprise Statistics

      Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, General Enterprise Statistics 2024 , Previous versions, General Enterprise Statistics 2023, General Enterprise Statistics 2022, General Enterprise Statistics 2021, General Enterprise Statistics 2020, General Enterprise Statistics 2018, General Enterprise Statistics 2017, General Enterprise Statistics 2016, General Enterprise Statistics 2015, General Enterprise Statistics 2014, General Enterprise Statistics 2013, General Enterprise Statistics 2012, The purpose of the statistics is to give a coherent and consistent description of the Danish business structure at the enterprise level., The General enterprise statistics, which were compiled for the first time for the year 1999, have replaced the Enterprise statistics produced for the years 1992-1999. , Statistical presentation, The General enterprise statistics covers real active enterprises in Denmark yearly. It contains economic and employment information concerning all sectors and industries. The General enterprise statistics is communicated in NYT from Statistics Denmark (in Danish) and via the StatBank. , Read more about statistical presentation, Statistical processing, The Statistics are collected yearly, and are based on internal registers in Statistics Denmark. Primarily the Statistical Business Register and the Account statistics. The sources are compiled an aggregated to the level of publication. There is a minimal error detection and treatment done, since the statistics mainly is based on final data from other statistics and registers., Read more about statistical processing, Relevance, The statistics is relevant for analysis of the Danish business development and structure., Users of the statistic are government agencies, corporate agencies, Eurostat, regions, counties as well as private enterprises and private persons., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations. The possible uncertainties of the statistics are associated with the quality of the sources of the statistic. Especially Accounts Statistics for Non-Agricultural Private Sector., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 18 months after the end of the reference year. The statistics is published without delays regarding scheduled release times. From the reference year 2016 the statistics is published with preliminary data 10 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The General enterprise statistics covering only private enterprises excluding agriculture can be compared to the national published Account statistics for enterprises. The statistics is also published annually by Eurostat under the name "Business Statistics"., Read more about comparability, Accessibility and clarity, Current publication: News from Statistics Denmark (only Danish), The Danish StatBank, Statistical Yearbook and The statistical decade (only Danish), Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/general-enterprise-statistics

      Documentation of statistics
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