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      Documentation of statistics: Structure of Earnings

      Contact info, Labour Market, Social Statistics , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2024 , Previous versions, Structure of Earnings 2023, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

      Documentation of statistics

      Documentation of statistics: Vocational Education

      Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , alg@dst.dk , Get documentation of statistics as pdf, Vocational Education 2024 , Previous versions, Vocational Education 2023, Vocational Education 2022, Vocational Education 2021, Vocational Education 2020, Vocational Education 2019, Vocational Education 2018, Vocational Education 2015, These statistics cover vocational education activity in Denmark. A vocational education is a youth education which gives the student a vocational qualification. Vocational education statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly estimates of on the activity on vocational educations in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and enrolment type, and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for the statistics is collected yearly in October from the administrative systems of the educational institutions. Data is adjusted into the format used in the Student Register. In cooperation with the National Agency for It and Learning, Statistics Denmark has set guidelines for this conversion, since the conversion depends on the type of student. Data is validated at both macro and micro level, where fluctuations in the number of students across time are controlled for errors and irregularities at the individual level, for example overlap between educations, are corrected., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the pupils and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The vocational education field is a field with many different ways to get an education, which creates more possibilities for incorrect registrations e.g. wrong registrations of the students on the institutions or errors in the conversion to the correct format., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. , Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on vocational education have been made further back than this. Vocational education reforms can be a challenge when comparing figures over time. Furthermore, it may be difficult to compare the figures internationally, as vocational training is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper secondary education, . For further information, see the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/vocational-education

      Documentation of statistics

      Documentation of statistics: Nights Spent at Marinas

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

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-marinas

      Documentation of statistics

      Documentation of statistics: Mining and Quarrying

      Contact info, Food Industries, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Mining and Quarrying 2024 , Previous versions, Mining and Quarrying 2023, Mining and Quarrying 2022, Mining and Quarrying 2020, Mining and Quarrying 2019, Mining and Quarrying 2018, Mining and Quarrying 2017, Mining and Quarrying 2016, Mining and Quarrying 2014, Mining and Quarrying 2013, The mining and quarrying statistics show the amount and type of mining and quarrying in Denmark. The statistics have been made since 1973 but is only comparable since 2006., Statistical presentation, The mining and quarrying statistics are a yearly measurement of extracted raw material types from land and from the sea floor stated in Cubic meters. The statistics are grouped by raw material types, by administrative regions and municipalities., Read more about statistical presentation, Statistical processing, Data are annually collected from all extractors on land. The reported data are controlled for errors by comparing changes over time in the municipalities and for the totals for each resource category. Figures for raw materials extracted from the sea are controlled for errors in the same way., Read more about statistical processing, Relevance, There is great interest for the published figures on raw materials among the Regions, which use the statistics to make extraction plans. The statistics are also requested by municipalities, industry organizations, other public and private institutions, researchers, companies and the news media. The statistics are used in the compilation of the environmental-economic accounts in the national accounts., Read more about relevance, Accuracy and reliability, These statistics are based on a full census with complete coverage, as all extractors of raw materials are required to report. The data form the basis for taxation and are verified by the authorities, who already have a good overview of the quantities extracted., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about 6 months after the end of the reference period. Publications are generally released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistics are comparable at municipal level back to 1980. The data collected and the level of detail have remained unchanged throughout the period. Data quality and reliability are expected to be higher after 1 January 1990, when a raw material tax was introduced, resulting in increased control of the reporting by the authorities. As of 2007, data are compiled according to the new municipal and regional structure, and reliability is considered slightly lower than before 2007 due to problems with implementation of the new municipality-reform in 2007., 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 , Mining and quarrying, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/mining-and-quarrying

      Documentation of statistics

      Documentation of statistics: ICT Usage in Households and by Individuals

      Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2025 , Previous versions, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, The purpose of the statistics ICT Usage in Households and by Individuals is to analyse the access to and use of the Internet, and to follow the development. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperation, a common Eurostat questionnaire and methodological guidelines. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, occupation, type of family etc. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that correct possible biases. The calculations are done by a regression estimator., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., 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 , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

      Documentation of statistics

      Documentation of statistics: Survey on Living Conditions (SILC)

      Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

      Documentation of statistics

      Documentation of statistics: Convicted Persons

      Contact info, Population and Education, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , joe@dst.dk , Get documentation of statistics as pdf, Convicted Persons 2024 , Previous versions, Convicted Persons 2023, Convicted Persons 2022, Convicted Persons 2021, Convicted Persons 2020, Convicted Persons 2019, Convicted Persons 2018, Convicted Persons 2017, Convicted Persons 2016, Convicted Persons 2015, Convicted Persons 2014, Convicted Persons 2013, Documents associated with the documentation, Rape Convicted persons_2024 (docx), The purpose of the statistics is to analyze the number of persons who have been found guilty in violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on convicted persons was published for the first time for the year 1995. Since then it has been published for the years 1998, 2000, 2002 and 2004 and hereafter annually., Statistical presentation, The statistics shed light on the number of persons who have been convicted for violation of the penal code, the road traffic act and other special legislation. In the published statistics the convicted persons are classified into sex, age, municipality, national origin, country of origin and type of offence and conviction. From 2018-2021 also into citizenship and from 2021 into socio economic status and education. , Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register and Statistics Denmark's income register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 11 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1995, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. An overview of new and ceased type of offences can be found in this annex (in Danish only): Development in types of offences., Fines for violation of the road traffic act below DKK 2,500 are not included in the statistics as from 2012. In the period 2001-2011 the limit was DKK 1,500 and before 2001 DKK 1,000., Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in , Convicted Persons, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality) and the publication , "Indvandrere i Danmark", (Immigrants in Denmark, as from 2005)., See more at the , Subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/convicted-persons

      Documentation of statistics

      Documentation of statistics: Labour Usage in Social Care (Discontinued)

      Contact info, Personal Finances and welfare, Social Statistics. , Birgitte Lundstrøm , bls@dst.dk , Get documentation of statistics as pdf, Labour Usage in Social Care 2019 , Previous versions, Labour Usage in Social Care 2018, Labour Usage in Social Care 2017, Labour Usage in Social Care 2016, Labour Usage in Social Care 2015, Labour Usage in Social Care 2014, The purpose of the statistics is to describes the staff working with nursing and care in the municipal and regional sectors and the staff working in municipal dental care and health care. The statistics are used to describe the number of employees by budget accounts from the authorized budget plan for municipalities and regions and by different kinds of occupation groups. The statistics have been compiled since 2008, but are revised in 2016. Data from 2016 and forward are not comparable to previous data. Further more the authorized budget plan has been revised in 2018. Some data are consequently not comparable to previous years., Statistical presentation, The statistics are a yearly measurement of municipal and regional staff working with nursing and care and the staff working in municipal dental care and health care. The statistics are based on information covering February only and measure the number of fulltime employees working with municipal and regional nursing and care and municipal dental care and health care. The number of fulltime employees are grouped by municipalities, regions, occupation and the authorized budget plan used by municipalities and regions., Read more about statistical presentation, Statistical processing, The statistics are based on data for February reported to the statistics of earnings for the municipal sector. Based on the authorized budget plan for municipalities and regions, institutions from the selected budget accounts, are selected. The number of fulltime employees are calculated on basis of the employees actual hours worked. The number of fulltime employees are summarized and grouped by municipalities, regions, budget accounts and selected occupations. A certain check is made concerning whether the institutions are connected to the right budget accounts and whether the occupation of the employees are considered to be correct., Read more about statistical processing, Relevance, These statistics are relevant for ministries, organizations and the public in general for planning and analysis purposes. , Read more about relevance, Accuracy and reliability, The data are associated with some uncertainty. This is primarily due uncertainty concerning connection of institutions and employees to budget accounts and connection of occupations to employees. This might cause variations over time in number of fulltime employees for the country as a whole and within municipalities. This is the case for both the total figures and when data are grouped by budget accounts and occupations. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published around 10 months after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2008, but is revised in 2016. Consequently data for 2016 and forward are not directly comparable to data published in previous years. The authorized budget plan for municipalities and regions is revised in 2018. Consequently some data for 2018 are not comparable to previous years. Other countries might publish similar statistics. The authorized budget plan for municipalities and regions that is used to select the relevant employees is however unique to Denmark. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank and can be found under the subject , Staff working with municipal and regional nursing and care, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-usage-in-social-care--discontinued-

      Documentation of statistics

      Documentation of statistics: Artists in Denmark

      Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , cbf@dst.dk , Get documentation of statistics as pdf, Artists in Denmark 2024 , Previous versions, Artists in Denmark 2023, Artists in Denmark 2022, Documents associated with the documentation, Overblik over datakilder til 2023-populationen (pdf) (in Danish only), Overblik over datakilder til 2025-populationen (pdf) (in Danish only), The purpose of 'Artists in Denmark' is to contribute to increased knowledge about the conditions of artists in Denmark. The statistics is used to establish a data foundation for understanding artists in Denmark. The statistics was first published in 2023, with figures for the year 2022., Statistical presentation, The statistics on artists in Denmark are an annual compilation of the number of artists in Denmark, categorized by artistic area, income basis, gender, age group, residential region, family type, education level, main source of income and personal income. The statistics are divided into the five artistic areas: music, writers and words, visual arts and designers, film and TV, and drama and performing arts., Read more about statistical presentation, Statistical processing, The population in the statistics is based on four data sources: 1) Membership data from the member organizations under the Council of Danish Artists, 2) Data on recipients of royalties from artistic activities and 3) Data on recipients of grants or project support from the Danish Arts Foundation. The population in the statistics is linked to information from the population register regarding gender, age, and residence, as well as information on income from the Income Register and educational level from the education register., Read more about statistical processing, Relevance, The statistics is relevant for anyone with an interest in the cultural sector. The data can be used for analysis, research, and discussions within the cultural domain., Read more about relevance, Accuracy and reliability, The statistics are based on extensive data collection, but there is uncertainty as to whether all individuals in the population are in fact artists. Some organizations have chosen not to contribute, which may lead to underestimation. Income from artistic work is likely underestimated. Ongoing efforts are being made to improve the data. The time series from 2019–2023 uses the 2023 population, meaning that variations reflect, among other things, that younger artists were not active in earlier years and that some individuals were not residing in Denmark throughout the entire period. The 2024 data is based on the 2025 population of artists and cannot be compared to data based on the 2023 population of artists., Read more about accuracy and reliability, Timeliness and punctuality, The release time for the statistics is 20 months after the end of the reference period to allow for the completion of the underlying registers. The statistics is new but is expected to be published as planned., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since 2023 with data from 2022 as the first release. From 2024 a new population of artists is used and the numbers for 2024 is therefor not comparable to earlier years. The statistics is unique to Denmark and, therefore, cannot be directly compared to statistics in other countries., 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 , Education and employment in the cultural field, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/artists-in-denmark

      Documentation of statistics

      Documentation of statistics: The Use of Cereals

      Contact info, Food Industries, Business Statistics , Mads Haaning Andersen , +45 51 85 76 27 , MHG@dst.dk , Get documentation of statistics as pdf, The Use of Cereals 2023 , Previous versions, The Use of Cereals 2022, The Use of Cereals 2021, The Use of Cereals 2018, The Use of Cereals 2016, The Use of Cereals 2014, The purpose of the statistics is to compile a grain balance, primarily with the aim of calculating the quantities of grain that go to feed consumption, both for each individual crop and for the total amount of grain. In the grain balance, the amount of grain from harvest and import is calculated, and it is distributed among different uses. The statistics are used to calculate the Economic Accounts for Agriculture. Supply balance sheets for cereals for the crop year have been compiled since 1900/01. Balance sheets for the calendar year have been compiled since 1961. Data in its present form is comparable from 1995 onwards., Statistical presentation, The statistics is an annual calculation of the supply balance sheets for cereals in million kg. The utilization of cereals is calculated both for calendar year and crop years and is published for 6 different cereals and cereals in total. The supply balance sheets contain for each type of cereals statistics on cereals available: harvest, imports and initial stocks, as well as statistics on the use of cereals for different purposes: exports, final stocks, seeds, flour production and other manufacturing, feeding. Moreover, the supply balance sheets are produced based on the origin of the cereals, whether it is produced in Denmark or abroad., Read more about statistical presentation, Statistical processing, The data is collected in biannual and annual questionnaires where the incoming data is checked. Data is from different sources where some are sample surveys and others are censuses why there can be differences in how the further data is calculated. Censuses are aggregated whereas sample surveys are listed according to known target variable. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the use of cereals in Denmark. Moreover it is an input to the Economic Accounts for Agriculture. The users can comment on the statistics in the user committee for agricultural statistics and the users have expressed satisfaction with the statistics. , Read more about relevance, Accuracy and reliability, The utilization of cereals are build on sample surveys for stock of cereals at farms, the harvest of cereals and international trade of goods and the results are therefore subject to some uncertainty. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets., Read more about accuracy and reliability, Timeliness and punctuality, It is published twice a year- The statistics concerning the crop year, end of period June 30th, is published in January/February together with the feed consumption, approximately 6 months after the end of the reference period. The statistics following the calendar year is published in May together with the Economic Accounts for Agriculture, barely 6 months after the end of the reference period. Data is preliminary until 2,5 years after the end of the reference period. The statistics is punctual and is published without delay., Read more about timeliness and punctuality, Comparability, The utilization of cereals is comparable back to the crop year 1960/61 and the calendar year 1960. Stocks were not a part of the statistics before 1960. It is in compliance with the current EU legislation and it is an input to the Economic Accounts for Agriculture which is comparable to the Economic Accounts for Agriculture published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Crop production, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-use-of-cereals

      Documentation of statistics
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