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Documentation of statistics: High Growth Enterprises

Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2024 , Previous versions, High Growth Enterprises 2023, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

Documentation of statistics

Documentation of statistics: Harvest of Cereals etc.

Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , mlu@dst.dk , Get documentation of statistics as pdf, Harvest of Cereals etc. 2025 , Previous versions, Harvest of Cereals etc. 2024, Harvest of Cereals etc. 2023, Harvest of Cereals etc. 2022, Harvest of Cereals etc. 2021, Harvest of Cereals etc. 2020, Harvest of Cereals etc. 2019, Harvest of Cereals etc. 2018, Harvest of Cereals etc. 2017, Harvest of Cereals etc. 2016, Harvest of Cereals etc. 2015, Harvest of Cereals etc. 2014, The statistics illustrate the Danish harvest of grain, rapeseed, legumes and roughage. The statistics are used for research, EU reporting, calculation of GDP and energy and feed accounts. The statistics have been compiled since 1875, but in their current form are comparable from 1971 onwards. The statistics complement other statistics on vegetable production, including , Production of fruit and vegetables, . , Statistical presentation, The statistics are an annual statement of the Danish harvest of grain, rapeseed, legumes, root vegetables and roughage, calculated in area (1000 hectares), average yield (hectokg per hectare) and production (million kg). The statistics are calculated for crops and divided by region., Read more about statistical presentation, Statistical processing, Harvest of cereals, rapeseed and legumes: Data is collected annually from farmers via questionnaires and is debugged based on yield limits and added to the total population. Roughage: Data is collected from SEGES, Danish Sugar Beet Growers, DAKOFO, the Danish Agricultural Agency and Accounting Statistics for Agriculture. Where current data is missing, yields are projected from related crops with known trends., Read more about statistical processing, Relevance, The users are mainly EU and agricultural organizations. The results are included in the agricultural gross factor income. Information on the use of straw for fuel is used, among other things by the DEA., User needs are covered in the User Committee for food statistics. Statistics Denmark is also in regular contact with key users, including the Ministry of Food and research institutions., Read more about relevance, Accuracy and reliability, The response rate for the calculation of the harvest of grains, rapeseed etc. is over 95 per cent. Precision meets EU quality requirements., For coarse fodder, reliability must be considered reasonable for average yields, while it is high for area information., The forecast for winter seed areas usually deviates by 5-10 percentage points from the later established cultivated areas., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay to the scheduled date., Preliminary data for the harvest of cereals, rape and pulses are published in late November. Final statement, including results for provinces and regions are published April of the following year, where the coarse fodder harvest alsot is published. End of reference Period: October 1. Harvesting of roughage is published April of the following year. End of reference Period: end of November. The forecast for the following year's winter land released in early December. End of reference Period: October 15, Read more about timeliness and punctuality, Comparability, Similar statistics are produced among EU members and are available from the Eurostat's website. The statistics comply with EU standards., Harvest figures are in principle comparable back to 1900 but with methodological changes along the way. The current calculation method has in principle been used since 1971. The statistics for the new regions of the country are made from 2006. Thus there for 2006 is both a statement of the then counties, and the current regions., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Crop production, and in a Danish press release., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harvest-of-cereals-etc-

Documentation of statistics

Documentation of statistics: Legal Activities

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Legal Activities 2023 , Previous versions, Legal Activities 2021, Legal Activities 2020, Legal Activities 2019, Legal Activities 2018, Legal Activities 2017, Legal Activities 2016, Legal Activities 2015, Legal Activities 2013, The purpose of the statistics Legal Activities is to provide information on turnover and types of services in enterprises with Computer services as main activity. The statistics is also used in the compilation of the national accounts and for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 2003. Prior to 2012 it was called Product Statistics for Legal Activities. From 2023 the statistics has been changed to only cover enterprises with at least 5 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 Legal activies. 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 a 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 end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2003, but it can be problems in comparing figures over time. The questionnaire, the sample design and the calculation method have been adjusted a few time, in 2013, where the time series back to 2012 has been backcasted using new method and from the reference year 2023 where the statistics only covers enterprises with at least 5 employees. , Read more about comparability, Accessibility and clarity, These statistics are published in a collective News from Statistics Denmark , Serviceydelser for serviceerhverv, . The figures can be found in the StatBank under , Legal 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/legal-activities

Documentation of statistics

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: Educational expenditure (UOE Finance)

Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Educational expenditure (UOE Finance) 2024 , Previous versions, Educational expenditure (UOE Finance) 2023, Educational expenditure (UOE Finance) 2022, Educational expenditure (UOE Finance) 2020, Educational expenditure (UOE Finance) 2019, Educational expenditure (UOE Finance) 2018, The purpose of the statistics is to show how education expenditures are distributed across source of funding, expenditure type, type of institution along with the level of education. The statistic is based on international standards for education expenditures by the manual UOE data collection on formal education (UOE2020) , which is developed by UNESCO, OECD and Eurostat. The statistic is used as an input to OECD's publication Education at a Glance, which compares educational systems across countries. The statistics are developed from finance year 2016 and onwards. Data is consistent and comparable throughout the entire period. , Statistical presentation, The statistic is an annually two-dimensional publication of education expenditures, which shows the consumption of education seen from the perspective of both sources of funding and educational institutions. The statistic is calculated in DKK millions and divided across financing sources, expenditure type, type of institutions and education level. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from a number of both internal and external sources using data extracts and data deliveries. The collected data is validated on a macro level by controls of time series and different reasonableness checks. When data have been validated, the classification according to UOE2020 begins following by imposed distributions based on student data gather internally from Statistics Denmark. Lastly, data is integrated and complied 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 Education at a Glance and will be launch in OECD's database OECD Data Explorer along with Eurostat. Professionals and analysts use the statistics to get a detailed overview of the expenditure to education across education levels and the funding of those in Denmark. , Read more about relevance, Accuracy and reliability, The overall accuracy of the statistics i considered to be high, as the primary data sources is contributed by the general government finances. However, there are uncertainty associated with the funding of households and international sources to education. Moreover, misclassifications can occur as it can be difficult to determined whether some areas are within the scope of UOE2020. The detail level from annual reports used for private tertiary educations are fraught with uncertainty because of the overall coding. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 11 months after the end of the reference period and are published without delays in relation to planned release times., Read more about timeliness and punctuality, Comparability, The statistic follow common European guidelines in the manual UOE data collection on formal education (UOE2020). The statistic is fully comparable across time and countries for the entire published time period. Previously the reporting burden to UNESCO, OECD and Eurostat was acquired from the National Agency of IT and Learning under the Ministry of Children and Education. , Read more about comparability, Accessibility and clarity, The statistic is published in New from Statistics Denmark and in the StatBank under , Education expenditures, . For more information see the , subject page, . In addition, the figures are included in OECD's annual publication , Education at a Glance, . Moreover, data is published by , OECD, and , Eurostat, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/educational-expenditure--uoe-finance-

Documentation of statistics

Documentation of statistics: Local Government Personal Income Taxation and Church Tax

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Local Government Personal Income Taxation and Church Tax 2026 , Previous versions, Local Government Personal Income Taxation and Church Tax 2025, Local Government Personal Income Taxation and Church Tax 2024, Local Government Personal Income Taxation and Church Tax 2023, Local Government Personal Income Taxation and Church Tax 2022, Local Government Personal Income Taxation and Church Tax 2021, Local Government Personal Income Taxation and Church Tax 2015, Local Government Personal Income Taxation and Church Tax 2014, The purpose of Local government personal income taxation and church tax is show the development of these taxes as well as land tax. The tax rates are decided by the local governments by the 15th of October the year before the relevant income year. The Statistics was first time published in 1927, but in its current form the statistics covers and is comparable from 2007., Statistical presentation, The statistics show the development in local government personal income tax, church tax and land tax rates as determined by the local authorities in each municipality. The figures are compiled annually at the municipal level, and weighted averages are calculated for regions and for the entire country. The statistics are published in the StatBank., Read more about statistical presentation, Statistical processing, The statistics is based on reports from the local authorities to the Ministry of the Interior. The published budget figures also form the basis for the amount of advance payments transferred from the central government to the municipalities. The collected material is validated against last year’s data as well as information regarding which municipalities have changed their tax rates. There are no further corrections of data., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have no sources of statistical uncertainty of importance. This is because local government income taxes is determined by a financial agreement between Local Government Denmark (KL) and the government. Afterwards, both KL and the Ministry of the Interior check and verify the numbers. It is not allowed to make changes the foundation for the local government income taxes once it have been approved, which is also why there are no revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of November in the year before the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics was published for the first time in 1927. However, changes to both the municipality as well as country structure makes the comparison across time difficult. The current structure makes it possible to compare from 2007 and onwards. The taxation systems differ widely across countries, which makes the geographical comparison difficult based on national sources because of concept and calculation differences., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Taxes and duties, . For further information, go to the subject page for , Taxes and duties, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/local-government-personal-income-taxation-and-church-tax

Documentation of statistics

Classification on education (DISCED-15), completed educations, v1:2018

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2018 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2018 , Valid to: , January 31, 2019 , Office: , Population and education , Contact: , NHD , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=62f56e2b-ff29-4f2c-a1e1-7ec604c94b27

Documentation of statistics: Milk and Dairy Products

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Milk and Dairy Products 2025 , Previous versions, Milk and Dairy Products 2024, Milk and Dairy Products 2023, Milk and Dairy Products 2022, Milk and Dairy Products 2021, Milk and Dairy Products 2020, Milk and Dairy Products 2019, Milk and Dairy Products 2018, Milk and Dairy Products 2017, Milk and Dairy Products 2016, Milk and Dairy Products 2015, Milk and Dairy Products 2014, The statistics are used to describe the purpose of the statistics on milk and dairy products is to illuminate the size and value of the milk production on the farms and the use of milk for dairy products. The statistics on milk and dairy product have a long history and the key figures covering the past 100 years are comparable. The statistics in their present form are comparable from 1990 onwards., Statistical presentation, The statistics on milk and milk products are a monthly and annual estimate of the total milk production of farmers. The delivered amount of milk on the dairies and the dairies' primary use of the milk weighed in and the production of a variety of fresh and processed dairy products as drinking milk and cheese. The statistics also contain data on organic milk delivered to dairies and the production of organic whole milk products for human consumption, butter and cheese. Every month data are transfer to Euro stat. , Read more about statistical presentation, Statistical processing, Data is collected monthly on milk and dairy products. Data comes primary from administrative records. The data received is checked for completeness and consistency, as well as consistency with previous periods. , Read more about statistical processing, Relevance, The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on milk and dairy product are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is compulsory for dairies to register and report the milk weighed on the dairies and the dairy production to the Central Milk Register. This is the basis for settlement to farmers, which is therefore expected to be measured accurately. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated after payment, which is only realized after the end of the dairy year and can thus cause uncertainty about the accrual. The estimate of the consumption of milk at farms and consumption for feed is estimated after consultation with the Dairy Association., Foreslå en ændring, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every month. For a specific month it will be published 1½ month after the end of the month concerned. A more detail year statistics will be publish ½ year after the end of the year concerned. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Long time series data can be compiled. Every month and year are delivered data to Euro stat. Similar data for some of the variables are available for the EU member states at Euro stats homepage., Read more about comparability, Accessibility and clarity, New month figures are published in Statbank , ANI71: Milk production and use of milk by unit (month), and yearly figures , ANI7: Milk production and use of milk by unit, . Annual figures are included in Statistical Yearbook and Statistical Ten-Year review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/milk-and-dairy-products

Documentation of statistics

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