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      Documentation of statistics: Absence from work

      Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Absence from work 2024 , Previous versions, Absence from work 2023, Absence from work 2022, Absence from work 2021, Absence from work 2020, Absence 2019, Absence 2018, Absence 2017, Absence 2016, Absence 2015, Absence 2014, Absence 2013, Absence 2012, The purpose of the statistics of absence is to describe the amount of work that is lost due to absence. Absence is divided into "Own sickness", "Children's sickness", "Occupational injury" and "Maternity and adoption leave". The statistics are published on a yearly basis and are used for estimating and comparing the level of absence within different groups of employees., Statistical presentation, The statistics of absence are published yearly for the governmental sector, the local governmental sector and the private sector. Statistics according to the new sector definition from 2013 are also published for the labour market as a whole. The absence is grouped by the variables occupation, education, industry, region, age and sex. From 2013 own sickness is published by lengths of period. In the governmental and municipal sector all employees are included while the private sector is described by a representative sample of enterprises with 10 or more employees., Read more about statistical presentation, Statistical processing, On a yearly bases information on absence is collected from all of the public sector and from a sample 2600 private enterprises with 10 or more employees. After validating the absence data the periods of absence are connected to the job from which the person was absent. The information about the extent of the employment is found in the earnings statistics. The information on absence from the private sector is enumerated to the total population of enterprises with 10 employees or more., Read more about statistical processing, Relevance, Absence has both personal and economic consequences that have an impact on both employees, employers and the community. The statistics are tools used in estimating and comparing the level of absence within different groups of employees, and can be a foundation on which economic and political decisions are made. The statistics are of interest for the central government, municipalities and regions, private business enterprises, non-governmental organizations, researchers and news media. , Read more about relevance, Accuracy and reliability, The governmental and local government sector in principle include all employed persons. For these sectors there is immeasurable inaccuracy mainly caused by measuring errors., The private sector is based on a representative sample of about 2600 enterprises. The inaccuracy can be divided into sampling inaccuracy and the immeasurable inaccuracy that derives from measuring errors. The total absence rate for own sickness is determined with a 95 percent confidence interval to vary around +/- 0.05 percent. Sampling errors for divisions on e.g. gender or industry are considerably higher., Read more about accuracy and reliability, Timeliness and punctuality, The statistics of absence refers to the whole year to which the absence periods belongs The statistics is published on a yearly basis at the end of October following the reference period. The information is published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, The statistics of absence for the central governmental sector covers the year 2003 and forward, while the first data for the local governmental sector was published for the year 2005. The statistics for the private sector covers the period from 2007 and forward. From 2010 the municipality sector and the regional sector are published separately. Before 2010 the two sectors were only published together., The method and quality of data have continuously been improved especially the first years of the statistics. Comparisons between sectors and years (especially the earliest published data) should only be made with reservations., Read more about comparability, Accessibility and clarity, The latest results are published once a year in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Absence from work, . It is possible to buy more detailed results and to get access to micro-data through Statistics Denmark's Research services., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/absence-from-work

      Documentation of statistics

      Documentation of statistics: Notifications of concern for children and young people

      Contact info, Personal Finances and Welfare, Social Statistics , Marko Malic , +45 51 70 56 95 , MMC@dst.dk , Get documentation of statistics as pdf, Notifications of concern for children and young people 2024 , Previous versions, Notifications of concern for children and young people 2023, Notifications of concern for children and young people 2022, Notifications of concern for children and young people 2021, Notifications of concern for children and young people 2020, Notifications of concern for children and young people 2019, Notifications of concern for children and young people 2018, Notifications of concern for children and young people 2017, Notifications of concern for children and young people 2016, Notifications of concern for children and young people 2015, The purpose of the statistics is to shed light on notifications concerning children and young people received by municipalities in Denmark. The data are used for purposes such as policy development and legislation, public debate and research in the field., The statistics were first compiled by the Danish Social Appeals Board (Ankestyrelsen) in 2015 and have been part of Statistics Denmark’s publications since 2016., Statistical presentation, The statistics provide an annual overview of notifications concerning children and young people under the age of 18., The data include information on the number, age, and gender, date of the notification, the notifier’s relation to the child, reason for the notification, and the administrative municipality., The statistics are published in the StatBank and in the Nyt from Statistics Denmark series., Read more about statistical presentation, Statistical processing, Municipalities report information on child welfare notifications to Statistics Denmark. This is done either automatically through system-to-system solutions or manually via a web-based reporting tool., Once a reporting year has ended, each municipality receives a summary of the data submitted. In cooperation with Statistics Denmark, any errors or missing information are corrected. The municipality then confirms that the data accurately reflect the number of notifications for the year. This process is called data validation., Read more about statistical processing, Relevance, The statistics are relevant to researchers, journalists, public authorities – including ministries and municipalities – and others who seek knowledge about the conditions of vulnerable children and young people., Read more about relevance, Accuracy and reliability, Non-response and measurement errors introduce only minimal bias., The figures are approved by the municipalities, and the overall level of uncertainty is considered low., Data in the StatBank Denmark are republished with updates going back up to two years. These updates mainly consist of minor corrections due to non-response and measurement errors, and do not affect the overall picture., Read more about accuracy and reliability, Timeliness and punctuality, The final statistics are published no later than nine months after the end of the reference period. The statistics are generally published on schedule, without delays. For the reporting years 2021–2024, publication followed the planned timeline. A delay occurred for the 2020 reporting year due to data delivery issues, but these were resolved before the subsequent release., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2015 and are comparable over time, taking into account the revision in 2017 and the addition of new categories in 2022 and 2024. The annual count makes the data directly comparable, unlike other statistics from Statistics Denmark on vulnerable children and young people (such as placements and support measures), which are status-based. There is some potential for international comparison, particularly with statistics from Sweden and Norway., The statistics are partially internationally comparable, for example with equivalent statistics from Sweden, Norway, and – to some extent – Finland., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data is available in the StatBank under the topic , Disadvantaged children and youth, . For more information, visit the , topic page of the statistics, . , Contact DST Consulting for access to micro-data., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/notifications-of-concern-for-children-and-young-people

      Documentation of statistics

      Documentation of statistics: Indices of Average Earnings for the Private Sector (Discontinued)

      Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Average Earnings for the Private Sector 2019 , Previous versions, Indices of Average Earnings for the Private Sector 2018, Indices of Average Earnings for the Private Sector 2017, Indices of Average Earnings for the Private Sector 2016, Indices of Average Earnings for the Private Sector 2015, Indices of Average Earnings for the Private Sector 2014, The purpose of the index of average earnings is to indicate trends in earnings for different industries in the private sector exclusive of enterprises categorised as public administration or -services (state, regional or municipal). The index of average earnings was first published for the first quarter of 1994 under the name , the index of average earnings in the private sector, . Since then the index has been published based on the Danish Industrial Classification of 1996 (DB96), Danish Industrial Classification of 2003 (DB03) and since the third quarter of 2008 based on the Danish Industrial Classification of 2007 (DB07). Moreover, the index of average earnings replaced the index of hourly earnings for workers in manufacturing industry and the index of monthly earnings for salaried employees in manufacturing industry, which were discontinued at the end of 1997., Statistical presentation, The index of average earnings comprises all employees, salaried employees (white collar employee or officials) and wage-earners (blue collar workers) as well as apprentices and young people under 18 years employed in a business enterprise with 10 or more persons in the private sector. The entire private sector is covered by the indices, including e.g. employees in private schools and private hospitals. Still, the index does not include enterprises belonging to either the agriculture or fisheries industries. In accordance with the nomenclature DB07 (Danish Industrial Classification 2007), the the index is broken down by industry and since the third quarter of 2008 published at the most detailed level according to the 36-grouping in DB07. For a period between the first quarter of 2005 and the second quarter of 2008, the indices were only published at the 10-grouping level., Read more about statistical presentation, Statistical processing, Data are collected from the private enterprises and organisations that are included in the sample and cover the second month of the quarter in question. To start with, a rough search for errors is performed on the data. Then, the change in the average earnings per hour from the previous quarter is calculated for each enterprise. Only enterprises where data exists for both quarters are included in the computations. The average hourly wage per observations in the sample is then weighted to take account of all enterprises in a specific branch of economic activity in the population. A total figure for the average hourly wage and the rate of increase from the last quarter is then calculated for each branch of economic activity. After this the index point and the annual rate of increase is calculated for each branch. Finally the total index point and annual rate of increase is found as a total for all branches., Read more about statistical processing, Relevance, Private corporations and organisations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, The accuracy and reliability is mainly affected by two factors. First of all, the index is based on a sample, which in itself cause some uncertainty. Second of all, there is some uncertainty connected to the completeness in the collected data, which is often caused by errors in the way the system is generated for transmission of data. An example of this is a payroll system where the different wage compositions are not correctly linked or reported, and thus give an inaccurate picture of the development of wages. The problem with errors like these is that they tend to be difficult to discover. For example would reporting of a low and wrong value for irregular payments result in too high calculation of wage developments, as the irregular payments could not be separated from the wage component., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 60 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, The index of average earnings for Corporations and Organizations, replace , the index of average earnings of the private sector, which was last published for the fourth quarter of 2013. The comparability of the two indices is considered to be high. The difference has to do with the new applied delimitations of the sectors, where some of the public owned enterprises, such as Danish Railways (DSB) and some of the municipal owned resource centers, now according to the new delimitations of the sectors belong to “the index of average earnings of Corporations and Organizations”. The new sector delimitations were applied in the indices going back to first quarter of 2013, where it caused a small data breach., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-average-earnings-for-the-private-sector--discontinued-

      Documentation of statistics

      Documentation of statistics: Retail Trade Survey (Discontinued)

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

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

      Documentation of statistics

      Documentation of statistics: Services Survey (Discontinued)

      Contact info, Short Term Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Services Survey 2021 , Previous versions, Services Survey 2020, Services Survey 2019, Services Survey 2018, Services Survey 2017, Services Survey 2016, Services Survey 2015, The monthly tendency survey provides a quick and up-to-date overview of actual conditions and expectations within the Services. The present survey has been conducted by Statistics Denmark since May 2011, taking over from different supplier. The survey is directly connected to and defined by the Business and Consumer Survey joint harmonized programme as managed by the Directorate-Generale for Economic and Financial Affairs (DG ECFIN), European Commission. Within same programme is also carried out monthly tendency surveys on Manufacturing Industries, Construction, Retail Trade and Consumer expectations as well as the biannual survey on Manufacturing Industry Investments., Up until July 2011 Statistics Denmark conducted independently a corresponding survey, though with another selection of line of businesses and partly different questions., Statistical presentation, The Tendency survey provides information about actual conditions and expectations within the Services sector. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables business situation, turnover/sales, employment, prices/rates. Furthermore is asked about the current situation regarding factors limiting the production and capacity utilization., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 2950 service enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, inventories, prices, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , Accuracy, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaires or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Services Sector survey was launched in May 2011 by Statistics Denmark. Data is comparable over time by comparing with similar tendency survey data up until April 2011 provided by the EC Business and Consumer Surveys programme and managed by Directorate-Generale for Economic and Financial Affairs, , DG ECFIN, ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Serviceerhverv, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBS1, KBS2, KBS3 and KBS4., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Price and Volume Indicators (Discontinued)

      Contact info, Food Industries , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Price and Volume Indicators 2017 Quarter 4 , Previous versions, Price and Volume Indicators 2017 Quarter 3, Price and Volume Indicators 2017 Quarter 2, Price and Volume Indicators 2017 Quarter 1, Price and Volume Indicators 2016 Quarter 4, Price and Volume Indicators 2014 Quarter 4, Price and Volume Indicators 2014 Quarter 3, Price and Volume Indicators 2014 Quarter 2, The purpose of these statistics is to show actual changes (monthly, quarterly or yearly) in prices and volumes in agriculture to indicate developments in overall economics in agriculture., A part of the statistics have been calculated since 1956, but since 1976 the most widely definition has been used, which includes horticulture, fur production and products from bees and wild game. Base year in the prices indices is changed every fifth year, and latest base year is 2010., Statistical presentation, The Statistics contains for almost all items, monthly, quarterly and yearly information of agricultural prices, as well on sale products as on most products used in the intermediate consumption including capital formation. Some prices are only obtainable as price indices only, especially regarding intermediate consumption. Furthermore the volumes are shown for animal products. The statistics covers both agriculture and horticulture. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected at different frequencies from multiple sources. The collected data undergoes a simple validation. Once data is validated, aggregation occurs for a portion of data before publication, while other data is published directly., Read more about statistical processing, Relevance, The statistics is used by the agricultural organizations and the Ministries (primary the Ministry of Environment and Food of Denmark) to follow the price- and volume developments and to make analyses and forecasts. Furthermore, there is a need in the industry to follow price developments. The statistics cover the need primarily to calculate value added needed for the agricultural gross factor income calculation, which is a part of the National account. , Read more about relevance, Accuracy and reliability, On some products, i.e. horticultural products, qualities and types are several and dynamic. It makes it a little difficult to be sure on the representatively on the prices followed. Concerning input prices based on general price statistics, the situation in agriculture are maybe not fully reflected. Some indices on volumes are indirectly measured based on values and price indices. This method can lead to inaccuracy. The declaration on content on Economic Account for Agriculture and these on animal production includes more information on possible inaccuracy. Because of the very different picture of sources, margins of statistical errors can not be calculated. However, for main output products, i.e. milk and meat, the coverage and accuracy are close to 100 per cent. Prices on cereals and feeding stuff (concentrates) are based on more that 70 per cent of total volume, which ensure high reliability. In general, the accuracy is highest on sales product and less high on intermediate consumption and goods for capital formation., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is regarded as punctual., Read more about timeliness and punctuality, Comparability, Not applicable., Read more about comparability, Accessibility and clarity, The statistics are published in "Landbrug, gartneri og skovbrug" (Agriculture) appearing in the series "NYT fra Danmarks Statistik" (Statistical News) and in the annual publications Statistical Yearbook, Statistical Ten-Year Review and "Jordbrugets prisforhold". Results are available in tables in http://www.statbank.dk, on monthly, quarterly and yearly basis: LPRIS10, LPRIS15, LPRIS20, LPRIS25, LPRIS30 and LPRIS35., The statistics are published quarterly in the series "Nyt fra Danmarks Statistik" (Statistical News). In the Statbank are the data unter the subject , Priser og prisindeks for jordbrug, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-and-volume-indicators--discontinued-

      Documentation of statistics

      Documentation of statistics: Standardised index of average earnings

      Contact info, Labour Market, Social Statistics , Eva Borg , +45 24 78 53 57 , EVB@dst.dk , Get documentation of statistics as pdf, Standardised index of average earnings 2025 , Previous versions, Standardised index of average earnings 2024, Standardised index of average earnings 2023, Standardized Index of Average Earnings 2021, Standardized Index of Average Earnings 2020, Standardized Index of Average Earnings 2019, Standardized Index of Average Earnings 2018, Documents associated with the documentation, Standardberegnet lønindeks. Metode efter serviceeftersyn 2022-2023 (pdf) (in Danish only), The purpose of the standardised index of average earnings is to estimate the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the labour market’s occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics are used for e.g. monitoring of business cycles, regulation of contracts, analyses of developments in pay levels as well as input in the calculation of the National Accounts., The statistics have been prepared since 2018 with data back to the first quarter of 2016. A revised index and time series are published in May 2023 with data back from 2016., In parallel, Statistics Denmark is calculating the implicit index of average earnings. Unlike the standardised index, the implicit index of average earnings does not take changes in the occupational composition into account., Statistical presentation, The standardised index of average earnings is a quarterly estimate of the developments in pay levels for employees in Denmark, adjusted to the extent possible for changes in the occupational composition, e.g. shifts of employees between industries and/or occupation. The statistics show the development in the average hourly earnings for employees by sector, industry (DB07) and main occupation (DISCO-08). Each quarter, an index value and an annual increase are published., Read more about statistical presentation, Statistical processing, Data for these statistics are collected quarterly. For the public sector all payroll information are collected while data are collected via a sample from the private sector. The collected data is validated at an aggregate level for key enterprises (only in the private sector) and at an individual level through a combination of validation rules for the hourly earnings for the individual employment relationship. The hourly earnings are assessed based on sector, industry, main occupation and type of employment. Once data has been validated, base index is calculated for each homogeneous group, which afterwards is aggregated to sub- and total indices at sector, industry or main occupation level., Read more about statistical processing, Relevance, These statistics are relevant for private enterprises and organisations, as well as ministries and other public institutions for analysis, contractual regulation etc. The statistical data are also used in other areas within Statistics Denmark, e.g the calculation of the Danish National Accounts., Read more about relevance, Accuracy and reliability, The accuracy of these statistics are higher for employees in the public sector than in the private sector. The reason for this is that the statistics for employees in the public sector (more or less) consists of all payroll information, while the statistics for employees in the public sector is based on a sample of enterprises. The accuracy of the statistics for the private sector is therefore affected by sampling uncertainty, completeness of the reported information and non-response. The impact on the indices are unknown., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published two months after the end of the reference period. The statistics are released typically without delay according to scheduled dates of publication. , In February 2022, the statistics were paused and a comprehensive service review was initiated. As a result, the method for calculating standardized index of average earnings was revised. This publication therefore contains revised index values and annual increases for the entire period from the first quarter of 2016 until the first quarter of 2023. This means that the series contains revised values from the first quarter of 2016 until the third quarter of 2021 as well as previously unpublished values from the fourth quarter of 2021 until the first quarter of 2023., Read more about timeliness and punctuality, Comparability, The standardised index of average earnings was first published in December 2018 with a time series starting in the first quarter of 2016. The standardised index of average earnings utilize the same data as the implicit index of average earnings, which however has a different purpose and is therefore calculated using a different method. There exist a few sets of statistics abroad that are partly comparable with the standardised index of average earnings. , Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 , Indices of average earnings, . For further information, visit the subject page for , Income and earnings, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/standardised-index-of-average-earnings

      Documentation of statistics

      Documentation of statistics: Research and development in the public sector

      Contact info, Science, Technology and Culture, Business Statistics , Mille Wilhjelm Poulsen , +45 40 18 78 40 , MWP@dst.dk , Get documentation of statistics as pdf, Research and development in the public sector 2024 , Previous versions, Research and development in the public sector 2023, Research and development in the public sector 2022, Research and development in the public sector 2021, Research and development in the public sector 2020, Research and development in the public sector 2019, Research and development in the public sector 2018, Research and development in the public sector 2017, Research and development in the public sector 2016, Research and development in the public sector 2015, Statistics on Research and Development – Public sector 2014, Statistics on Research and Development – Public Sector 2013, Statistics on Research and Development – Public sector 2012, The purpose of the statistics on Research and Development in the public sector is to illustrate the extent of R&D activities carried out within the public sector. The statistics are used, among other things, to assess the share of GDP devoted to research and development. The survey is conducted according to the OECD guidelines for research and development (R&D) statistics, as set out in the Frascati Manual. The statistics have been produced since 1997, but are comparable in their current form from 2007 onwards., Statistical presentation, The statistics provide an annual account of R&D in the public sector, showing both expenditure (in millions of kroner) and personnel (in numbers and full-time equivalents). The data are distributed by main sectors, types of expenditure, scientific fields, and type of research., Read more about statistical presentation, Statistical processing, The statistics are based on questionnaires and are collected annually from approximately 650 public and private non-profit units, which together are assumed to carry out all significant R&D in the public sector. The reported data undergo extensive validation, focusing on a number of high-priority variables, particularly R&D expenditure and R&D full-time equivalents. Validation is performed at both the macro and micro level., Read more about statistical processing, Relevance, There is a general political objective of increasing the share of GDP, which is applied for research and development, and in the light of this objective, there is great interest in compiling statistics on research and development. The main users are Ministries, public authorities, business organisations, researchers, private business enterprises and the media. In addition, the European Commission (The statistical office Eurostat) and the OECD are important users. Data are available for purposes of research., Read more about relevance, Accuracy and reliability, They are based on a complete census, of the expected research-active institutions, of approximately 650 public institutions, with a response rate close to 100 percent. The large dataset undergoes extensive validation, and except for a single question, the extent of imputation for missing values is relatively limited. Imputation may, for example, involve inserting calculated values from other institutions’ reports in place of missing information., Read more about accuracy and reliability, Timeliness and punctuality, National release is done 1 year after the end of the reference period. It is the aim to publish preliminary figures 1 year after the end of the reference period. Final figures are published 1 year after the preliminary figures. Transmission of data to Eurostat follows rules laid down in the relevant legal act. , Read more about timeliness and punctuality, Comparability, Comparable figures are available for 1997–2006, when the statistics were compiled by the Centre for Research Analysis, and from 2007 onwards. In the 2007 statistics, some changes were made to the accounting principles compared with earlier compilations, and between 2006 and 2007 a number of structural changes affected a large number of research institutions. This means that the data in the new survey are only partially comparable with previous surveys., 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 , Research and development, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-and-development-in-the-public-sector

      Documentation of statistics

      Documentation of statistics: Business Enterprise Research and Development (BERD)

      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, Business Enterprise Research and Development (BERD) 2024 , Previous versions, Business Enterprise Research and Development (BERD) 2023, Business Enterprise Research and Development (BERD) 2022, Business Enterprise Research and Development (BERD) 2021, Business Enterprise Research and Development (BERD) 2020, Business Enterprise Research and Development (BERD) 2019, Business Enterprise Research and Development (BERD) 2017, Business Enterprise Research and Development (BERD) 2016, Business Enterprise Research and Development (BERD) 2015, Business Enterprise Research and Development (BERD) 2014, Business Enterprise Research and Development (BERD) 2013, Business Enterprise Research and Development (BERD) 2012, The purpose of the R&D statistics of the enterprise sector is to analyse the scope of research and experimental development undertaken within the sector. This is carried out by estimating the resources used in the area, measured in R&D-expenditure and R&D-personnel broken down on industry, size class and the regional level. The survey is conducted in accordance with OECDs guidelines for R&D statistics as described in the Frascati Manual. The Danish data are comparable with the data of other OECD- and EU-countries. , Statistical presentation, The purpose of the R&D statistics is to present the scope of research and experimental development undertaken within the Danish business sector. The aim is to secure detailed statistical information on the R&D activities., Read more about statistical presentation, Statistical processing, The statistics is based on a survey sample of approx. 3,500 units weighted to a frame of approximately 22,000 enterprises. The statistics is compiled in one joint questionnaire which covers both the R&D domain and the innovation statistics. An extensive validation process of the data is carried out. One part of the validations is integrated in the data collection in the dynamic web-questionnaire, another part is carried out after the data collection using micro- and macro validation techniques., Read more about statistical processing, Relevance, Statistics have users in ministry of science, business organizations, researchers, business and students. Statistics are used in publications on research and in international comparisons. R&D statistics is describing the knowledge society. Part of the EU's Innovations Union Scoreboard. Micro-data is available for research through Research Service at Statistics Denmark., Read more about relevance, Accuracy and reliability, To minimize errors the questionnaires are supported with guidelines and instructions. However some data reports are not error-free and may reflect misinterpretations from the respondents which can lead to certain errors., Coefficients of variance (CV) have been compiled for a range of central indicators., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally published no later than 12 months after the end of the reference year. Statistics with reference year 2023 was published 1. April 2025., Read more about timeliness and punctuality, Comparability, The statistics is compiled according to the guidelines of the Frascati Manual and the EU Regulation. There are no other comparable Danish R&D-statistics, but the Danish statistics is comparable to the R&D statistics from other EU-member states and OECD-countries. The statistics is from 2007-2016 comparable. There was a break in time series from 2016 to 2017. From 2017-2024 the statistics is comparable., Read more about comparability, Accessibility and clarity, The statistics are published in Focus On Statistics Denmark (Nyt fra Danmarks Statistik) and are available from Statistics Denmark's website at https://www.dst.dk/fui and from the database StatBank Denmark (https://www.dst.dk/statistikbanken). The statistics can also be found at the Eurostat databases (under the STI-domain). For the years 2012-2020 Statistics Denmark published a more extensive publication concerning R&D and innovation: "Innovation og Forskning 2020" (Innovation and research 2020).The publication is available (Danish only) on https://www.dst.dk, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-enterprise-research-and-development--berd-

      Documentation of statistics

      Documentation of statistics: Payments by the Ministry of Culture

      Contact info, Science, Technology and Culture , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Payments by the Ministry of Culture 2023 , Previous versions, Payments by the Ministry of Culture 2022, Payments by the Ministry of Culture 2020, Payments by the Ministry of Culture 2019, Payments by the Ministry of Culture 2018, Payments by the Ministry of Culture 2017, Payments by the Ministry of Culture 2016, Payments by the Ministry of Culture 2015, Payments by the Ministry of Culture 2014, Payments by the Ministry of Culture 2013, The purpose of the statistics Payments by the Ministry of Culture is to provide a comprehensive overview of the magnitude, scope and distribution of payments by the Ministry of Culture for cultural purposes. Payments by the Ministry of Culture in combination with the statistics Public Funding for Cultural Purposes provide a detailed picture of state financing and support for cultural activities. The statistics cover the period from 2010 and onwards., Statistical presentation, The statistics are an annual statement of payments for promoting purposes within the area of the Ministry of Culture, e.g. for the operation of institutions, specific activities and projects, scholarships, etc. and shows the distribution on different cultural domains and geography. Recipients are described by age and gender (persons) or company form and size (companies). The payments to authors, translators, etc. linked to the Public Lending Rights' Fund and the distribution of disbursements to the special, cultural domains Children and Young People, Research and Education are tabulated., Read more about statistical presentation, Statistical processing, The Ministry of Culture sends annual data to Statistics Denmark on payments including amounts, purpose, geographical and other targeting, as well as information on recipients. Statistics Denmark debugs data and links them with background information about the recipients. This information is for personal recipients age, area of residence and gender. For companies background information is location, and size and type of business. Finally, data is tabulated and published in StatBank Denmark following a number of additional checks., Read more about statistical processing, Relevance, The statistics can be used for summaries of public funding for various cultural purposes over time. The statistics can be used as an indicator of state grants for cultural purposes, with the proviso that other ministries besides the Ministry of Culture also can pay out grants for cultural purposes. Moreover, the statistics describes geographical distribution of funding as well as characteristics of recipients in terms of geography, sex and age (persons), or size and business type (companies). The statistics is established and continuously developed in collaboration with the Ministry of Culture., Read more about relevance, Accuracy and reliability, Data is collected via the Ministry of Culture's grant administrative systems, other financial systems and the Government Accounts. There are no uncertainty calculations available, but the overall precision is assessed to be very high with regard to the current payments from the Ministry of Culture. Over time, adjustments may occur in the Ministry of Culture's allocation of cultural subjects to certain schemes and budget areas. Likewise, changes in remit mean that government grants can be moved between departments. The ongoing adjustments can thus affect comparability over time., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published in mid-June approximately 5½ months after the end of the reference period. The statistics are usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, When assessing time series from these statistics, the user should be aware of shifts in the Ministry of Culture's area of responsibility etc. as described under Comparability over Time. For example, the data breach from 2011 to 2012 is due to reshuffles after the formation of the government in 2011. The Ministry of Culture was handed over the area of ​​public education and the folk high schools from the Ministry of Children and Education, and castles and cultural properties were moved from the Ministry of Finance to the Ministry of Culture. Finally, the higher artistic educations were moved from the Ministry of Culture to the Ministry for Research, Innovation and Higher Education., As of the publication of 2019 figures, the designation of case regions has changed compared to before, as it is possible for certain types of payment to define the case region more precisely than before., Read more about comparability, Accessibility and clarity, Payments by the Ministry of Culture is presented on the subject page for , Education, economy and employment in the cultural field, . The results are published annually through a , News, Article from Statistics Denmark and a series of interactive , StatBank, Denmark tables showing i.a. the geographical distribution of payments as well as sums and characteristics of personal and company recipients., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/payments-by-the-ministry-of-culture

      Documentation of statistics
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