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Documentation of statistics: Absence from work

Contact info, Labour Market, Social Statistics , Nete Nielsen , NDN , 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: Reported criminal offences

Contact info, Personal Finances and Welfare, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Reported criminal offences 2025 , Previous versions, Reported criminal offences 2024, Reported criminal offences 2023, Reported criminal offences 2022, Reported Criminal Offences 2021, Reported Criminal Offences 2020, Reported Criminal Offences 2019, Reported Criminal Offences 2018, Reported Criminal Offences, Year 2017, Reported Criminal Offences, Year 2016, Reported Criminal Offences 2015, Reported Criminal Offences, Year 2014, Reported Criminal Offences, Year 2013, Documents associated with the documentation, Rape: Reported criminal offences 2024 (docx), Kriminalitetsstatistikkens grundbegreber og kilder (pdf) (in Danish only), The statistics analyze the number of criminal offences in violation of the criminal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921. Until 1990, Statistics Denmark received monthly copies of the offence reports from the police for registration. Since 1 January 1990, Statistics Denmark has received data both quarterly and annually from the Central Register of Reported Offences, a register administered by the National Commissioner of the Danish Police., Statistical presentation, The statistics show the number of offences of criminal code and special laws/legislation reported to the police or discovered by the police itself., The statistics on reported criminal offences form part of the Danish System of Criminal Statistics. The System of Criminal Statistics includes data on criminal cases from the reported offences and charges to the convictions plus arrests and imprisonments., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The accuracy of the statistics on reported criminal offences is considered to be good. The data come from a single administrative register system storing information on all reported crimes. Analyses have shown that approximately 5 percentages of the crimes registered in a calendar year, are committed in an earlier year. Corresponding approximately 5 percentages of all crimes reported committed in a calendar year are not registered until a following year. The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1990. Due to changes in the grouping of the criminal offences and changes in the 'clear-up-concept' caution should be shown by comparing figures over time before this year., Eurostat collects annual data from the member states on reported criminal offences and publishes statistics based on this. However, according to the Eurostat metadata, the range of items included in the different groups of crime differs between countries and comparisons based upon absolute figures are therefore misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences

Documentation of statistics

Documentation of statistics: Maritime Transport over Danish Ports

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , HSN@dst.dk , Get documentation of statistics as pdf, Maritime Transport over Danish Ports 2025 Quarter 1 , Previous versions, Maritime Transport over Danish Ports 2024 Quarter 1, Maritime Transport over Danish Ports 2023 Quarter 1, Maritime Transport over Danish Ports 2022 Quarter 1, Maritime Transport over Danish Ports 2021 Quarter 4, Maritime Transport over Danish Ports 2021 Quarter 3, Maritime Transport over Danish Ports 2021 Quarter 2, Maritime Transport over Danish Ports 2021 Quarter 1, Maritime Transport over Danish Ports 2020 Quarter 4, Maritime Transport over Danish Ports 2020 Quarter 3, Maritime Transport over Danish Ports 2020 Quarter 2, Maritime Transport over Danish Ports 2020 Quarter 1, Maritime Transport over Danish Ports 2019 Quarter 4, Maritime Transport over Danish Ports 2019 Quarter 3, Maritime Transport over Danish Ports (Quaterly) 2019 Quarter 2, Maritime Transport over Danish Ports 2019 Quarter 1, Maritime Transport over Danish Ports 2018 Quarter 4, Maritime Transport over Danish Ports 2018 Quarter 3, Maritime Transport over Danish Ports 2018 Quarter 2, Maritime Transport over Danish Ports 2018 Quarter 1, Maritime Transport over Danish Ports 2017 Quarter 4, Maritime Transport over Danish Ports 2017 Quarter 3, Maritime Transport over Danish Ports 2017 Quarter 2, Maritime Transport over Danish Ports 2017 Quarter 1, Maritime Transport over Danish Ports 2016 Quarter 4, Maritime Transport over Danish Ports 2016 Quarter 3, Maritime Transport over Danish Ports 2016 Quarter 2, Maritime Transport over Danish Ports 2015 Quarter 4, Maritime Transport over Danish Ports 2015 Quarter 3, Maritime Transport over Danish Ports 2014 Quarter 3, The purpose of statistics on maritime transport over Danish ports is to describe the volume of and the development in ship traffic to and from Danish ports as well as data on port infrastructure. Also data on accidents on sea on board Danish vessels and in Danish sea territory are published., The statistics have been compiled in the present form since 1997. Maritime statistics have been produced since 1834 and published annually from about 1900. In the period from 1991 to 1996, Statistics Denmark compiled only summary statistics on the throughput of ports., Statistical presentation, The main variables in the statistics are: Calls at port, type of ship, size of ship, flag state, port of loading/unloading, weight of goods and type of goods and passengers., The statistics are based on two separate data collections: Maritime traffic on larger Danish ports (quarterly) and Maritime traffic on minor Danish ports (annually). It is supplemented with data from Ferries and Passenger ships (quarterly)., Annual data on accidents at sea are collected from the Danish Maritime Authority., Data on investments in ports are received from the National Accounts in Statistics Denmark., Read more about statistical presentation, Statistical processing, Annual statistics cover all Danish ports handling goods or passengers. Quarterly statistics cover only major ports., The statistics are collected through a spreadsheet solution via the data collection portal, http://www.Virk.dk. Response rate is 100 percent., Data are validated for the correct use of codes and classifications and for internal consistency within each report. Furthermore the development over time is validated at both micro and macro level., Read more about statistical processing, Relevance, The statistics are used by the ports themselves, Eurostat and other parts of the EU-commission, ministries, organisations, researchers and in general to monitor the goods transport activity in Danish ports and to develop transport statistics., Read more about relevance, Accuracy and reliability, Maritime statistics are based on censuses among all goods handling ports. The majority of data stems from the quarterly reports from all major ports. The data from the remaining minor ports are summarised annual data. On the main variables there is full coverage and accurate within 3 percent. Minor revision occur without systematic bias., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are usually published around 70 days after the end of a quarter. Annual statistics are published around 130 days after the end of reference year. It is always published at the preannounced time., Read more about timeliness and punctuality, Comparability, The statistics are consistent from 2000 and onwards and directly comparable to similar statistics from other EU and EFTA member states., Read more about comparability, Accessibility and clarity, Maritime statistics are published annually in Nyt fra Danmarks Statistik (Statistical News)., Quarterly and annually data can be found in , http://www.Statbank.dk, ., Annual tables are published in Statistical Yearbook until 2017 and Statistical 10-year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/maritime-transport-over-danish-ports

Documentation of statistics

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

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Earnings for the Public Sector 2019 , Previous versions, Indices of Earnings for the Public Sector 2018, Indices of Earnings for the Public Sector 2017, Indices of Earnings for the Public Sector 2016, Indices of Earnings for the Public Sector 2015, Indices of Earnings for the Public Sector 2014, The purpose of the index is to indicate trends in wages paid in the public sector (central and local governments) analyzed by main sectors of economic activity. The index covers more or less all employees in the public sector, including salaried employees, apprentices and young employees under the age 18. Data are mainly extracted from the public pay transfer systems and refer to the second month in the quarter of interest. The published index is broken down by main sectors of economic activity (38-grouping of NACE rev. 2), and indicate trends in relation to the basic quarter (first quarter of 2005) and in relation to the same quarter of the previous year. Since the release of the third quarter of 2008 there has been a change in the base period of the index, which is now the first quarter of 2005., Statistical presentation, The index is based on information on wages obtained from more or less all employees in the public sector. Data are mainly extracted from the public pay transfer systems and refer to the second month in the quarter of interest. The published index is broken down by main sectors of economic activity (38-grouping of NACE rev. 2), and indicate trends in relation to the basic quarter (first quarter of 2005) and in relation to the same quarter of the previous year. , From the first quarter of 2013 a new delimitation regarding the categorizing of sectors (state, regional, municipal or private) came into force. The new sector delimitation now follows the same principles as the one applied for the national accounts. The previous delimitation of sectors is available until the fourth quarter of 2013. , This documentation of statistics relates to the index of average earnings with the base period 1. quarter of 2005=100. The documentation of statistics with the base period 1. quarter of 1995 is attached as an annex., Read more about statistical presentation, Statistical processing, Data are collected for more or less all persons employed in the public sector in Denmark and refer to the second month of the quarter in interest. Before production of the index is started, the data are roughly searched for errors. But there are also performed search for errors later in the process, e.g. by looking at the rate of increase in the average wages for each company or organisation. Each employment is given a weight after the share of hours worked in relation to a full-timer’s normal hours, which is used when adding observations to calculate the rate of increase for an enterprise or branch of economic activity., Read more about statistical processing, Relevance, Private enterprises and organizations 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, Since the index is based on information on wages obtained from more or less all publicly employed persons through public pay transfer systems, the accuracy and reliability of the index is considered to be high. At the same time, there are some small uncertainties regarding the index which it is a good idea to be aware of when applying the index., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 45 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, Improvements in the index are continuously being made. If major errors have been rectified, the index has, as far as possible, been revised back to the first quarter of 1995 when calculations of the index began. From the first quarter of 2013 a new delimitation of sectors (state, regional, municipal or private) has been applied. Hence causing a breach in the data between the fourth quarter of 2012 and the first quarter of 2013. , The index of average earnings in the public sector, is comparable and in many ways similar to the , index of average earnings for Corporations and Organisations, . Internationally, the index is to some degree comparable to wage indices of the public sector in other countries., 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-earnings-for-the-public-sector--discontinued-

Documentation of statistics

Documentation of statistics: National Accounts: Input-Output and Supply-Use

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, National Accounts Input-Output and Supply-Use 2022 , Previous versions, Input-Output Tables 2020, Input-Output Tables 2019, Input-Output Tables 2018, Input-Output Tables 2017, Input-Output Tables 2016, Input-Output Tables 2015, Input-Output Tables 2011, Supply and use tables are the cornerstone of the Danish national accounts. Here, data for the circulation of goods and services, between Denmark and abroad, enterprises and final consumption are organized in a way that enables full balancing. A number of national accounts variables, including GDP, are published from here. The tables are used to compile input-output tables, which detail the relationships between production, imports and uses in the economy. Conversion to an input-output model enables calculations of multiplier effects, which are indirect relationships in the economy., Statistical presentation, Supply‑use and input‑output tables describe how goods and services are produced, imported and used in the economy. They balance supply and demand and form the basis for GDP calculations. The system covers about 2,350 products and 117 industries and provides detailed breakdowns of consumption, investment and exports. Input‑output tables enable analysis of direct and indirect economic effects and support modelling and environmental‑economic studies., Read more about statistical presentation, Statistical processing, The supply and use tables are compiled from a wide range of sources that have been collected by Statistics Denmark, including accounting statistics and foreign trade statistics. When source data are inserted into the framework, extensive validation, error correction and adaptation to the national accounts definitions are carried out. Data are reconciled to full consistency using both automatic and manual methods. Input-output tables are compiled on the basis of the supply and use tables based on international guidelines. Upon receipt, Eurostat thoroughly checks the data again., Read more about statistical processing, Relevance, Supply‑use tables are mainly used by Statistics Denmark to calculate GDP and other key indicators and to construct input‑output tables. A few external users access them via Research Services, but the most detailed tables are not published due to confidentiality. Input‑output tables support detailed analyses of economic structures, policy impacts and environmental effects and are central to models such as ADAM, MAKRO and Green Reform. Data comply with ENS2010., Read more about relevance, Accuracy and reliability, Supply, use and input-output tables are based on extensive primary data that are checked for errors and reconciled to ensure high precision and consistency, especially in the GDP calculation. Provisional tables are less reliable due to incomplete sources. The necessary central model assumption in compiling input-output tables may lead to some minor over- and under-estimations. Quality is ensured through ongoing checks, audits and compliance with international standards., Read more about accuracy and reliability, Timeliness and punctuality, The input-output tables are released once every year at the same time as the final national accounts. The time of release is 2.5 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, In an international perspective the comparability between Danish and foreign input-output tables is generally good, but not quite as good as in the case of national accounts itself. This is due to the fact that there is an important assumption to be made and this assumption may vary between countries. However, within the framework of the ESA2010 manual it is tried to secure comparability between EU-countries., Read more about comparability, Accessibility and clarity, National accounts and input-output data is disseminated in the , Statbank, and the , input-output subject page, where data can be downloaded in various file formats. Data that are transmitted to Eurostat can be found , here, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--input-output-and-supply-use

Documentation of statistics

Documentation of statistics: Car Register and Publications

Contact info, Short Term Statistics , Karina Moric Ingemann , +45 24 78 42 12 , KAM@dst.dk , Get documentation of statistics as pdf, Car Register and Publications 2024 , Previous versions, Car Register and Publications 2020, Car Register and Publications 2019, Car Register and Publications 2018, Car Register and Publications 2017, Car Register and Publications 2016, Car Register and Publications 1992, The purpose of The Car Register and Publications is to provide a basis for statistics concerning vehicles in Denmark, their owners and users. The statistics have been compiled since 1992, and is in its current state comparable from 1992 and onward. The register forms the foundation for statistic calculation, concerning the population of car availability and purchase of cars, where the vehicles owners and users is visualized using data from the population statistics area. The car register and other registers are also used for statistics and data extracts to internal and external users., Statistical presentation, The Statistics includes monthly and yearly calculations of current and historical information’s about vehicles and their owners. The most significant calculations of the newly registered vehicles, is their use for assessment of households and businesses use and investments. Important information’s about the vehicles is type, use, model and variant, weight and fuel type, owner/user relationship, geographic location as well as purchase price. Stock figures, new registrations and used car trade are calculated, as well as energy efficiency, families' availability of cars and car purchases., Read more about statistical presentation, Statistical processing, Data for the Vehicle Register is collected monthly from the Digital Motor Register (DMR). In addition, data from various registers in Statistics Denmark are collected. The central database tables from DMR are transformed for statistical use. Depending on the purpose, data from the other registers is connected using the owner or user IDs. The series with new registrations, accession of and leasing as well as used car sales of passenger cars are seasonally adjusted. The quality measures for the seasonally adjusted series indicate that there are clear seasonal patterns., Read more about statistical processing, Relevance, The statistics is relevant for short-term assessments (new registers etc.), in the road transport statistics (random sample basis) and to illustrate the populations purchase of and access to vehicles., The basic data of the statistics is included in the government's legal model, in the national accounts and in calculations of the value of the cars of households and businesses, as well as family assets. Data from the register are used to prepare statistics on paid services., The register's vehicle and personal data are also used for other social statistics, including service tasks for a fee., Read more about relevance, Accuracy and reliability, The register and the publications are generally highly precise and reliable with only very limited changes to former published data. These corrections does by experience only result in very limited corrections in the main figures formerly published, i.e. less than 0.5 per mille. , The seasonal adjusted series are of good quality with well-defined seasonal patterns., The number of families in the publications of the families' purchase of or access to private cars are fully compatible with the numbers in the area of population statistics., Read more about accuracy and reliability, Timeliness and punctuality, Newly registered vehicles, monthly: Publishing time 2023 9,75 days. , Energy efficiency for newly registered private cars, yearly: Publishing time 2024 88 days, “Motorparken” yearly: expected publication time 2024 88 days., Families' car purchases, annual: Publication time 2023 183 days., Families car availability, yearly: Publication time 2022 177 days. , The value of newly registered private cars, yearly: publication time 2023 64 days. , The register is updated 3 days after the end of the preceding month's calculations., Read more about timeliness and punctuality, Comparability, The statistics are compiled since 1992, and are comparable from 1992 and onwards., There are only limited differences between the statistical concepts in Denmark and other countries and they have no influence on the main figures., There have since 1994 been a few alterations with respect to employment status/job groups, definition of families, municipalities and weight limits. There is therefore no full comparability over time at a detailed level within these., The transition from CRM to the Digital Motor Register, DMR has caused no breaks in data., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistical Denmark:, Latest article with new registrations in News from Statistics Denmark, Latest article with stock figures in News from Statistics Denmark, Paid services with individual and tailor-made tables as well as research access are obtainable. See:, DST Consulting, Research Services homepage, Documentation of the car register and its data, Segment overview, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/car-register-and-publications

Documentation of statistics

Documentation of statistics: Household Budget Survey

Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2024 , Previous versions, Household Budget Survey 2023, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The Household Budget Survey is a sample survey in which approximately 2,600 households are selected from Denmark’s total of around 2.9 million private households. From 2024, data will be collected annually from about 1,300 households, and the sample for a given year’s survey is based on data collected over a two‑year period., The survey includes information from three data sources: accounts, interviews, and administrative registers., All consumption expenditures, incomes, etc. are adjusted to correspond as closely as possible to the price and volume level of the final year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, Only 8 percent of the contacted households chose to participate in the Household Budget Survey. This creates uncertainty, particularly for detailed consumption groups. For total consumption, this results in a margin of uncertainty of ±1.4 percent, while for items such as bread it is 1.8 percent, and as high as 18.6 percent for a rarely purchased item such as offal. There is underreporting in several areas, such as alcohol, tobacco, prostitution, and undeclared work. Uncertainty is greater when data are based on diary entries rather than interviews, and it increases further when looking at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is carried out in accordance with the guidelines of Eurostat, the Statistical Office of the European Union. Comparable figures are published by Eurostat. From 1994 onwards, the survey methodology was revised so that the survey is now conducted annually using the same method and on a comparable basis., Data for the years 2014 to 2022 were based on a two‑year sample and the ECOICOP nomenclature. To ensure comparability over time, data from 1994 to 2013 were recalculated according to this nomenclature in both current and constant prices., From 2024, COICOP2018 has been implemented in the Household Budget Survey as a result of the survey becoming regulation‑based. Data from 2015–2022 have been recalculated in both current and constant prices according to COICOP2018 to ensure continuity., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published 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 , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

Documentation of statistics

Documentation of statistics: Adult education and continuing training

Contact info, Population and Education, Social Statistics , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, Adult education and continuing training 2025 , Previous versions, Adult education and continuing training 2024, Adult education and continuing training 2023, Adult education and continuing training 2022, Adult education and continuing training 2021, Courses and Adult Education 2020, Courses and Adult Education 2019, Courses and Adult Education 2018, Courses and Adult Education 2017, Courses and Adult Education 2016, Courses and Adult Education 2016, Courses and Adult Education 2013-2014, Courses and Adult Education 2012-2013, The purpose of the statistics is to provide a picture of the people's participation in courses and adult education i.e. formal courses which are financed, planned and controlled by a public provider., The data collection on course activities has stated at different times for the different course types, and the first ones are registered from 1970's. , Statistical presentation, The statistics gives information on number of persons participating in courses and adult education i.e. formal external courses which are financed, planned and controlled by a public provider. If an education consists of several modules as in the case of Higher Preparatory Examination (HF) or a diploma, each module is counted. The information is collected and kept in the Course Participation Register., If the course participant has completed a number of courses that add up to a whole education e.g. the Higher Preparatory Examination (HF), an academy exam or a diploma the information on the attained qualifications is collected and kept in the Quality Register., Read more about statistical presentation, Statistical processing, Data comes from eight different data collection. , The Ministry of Immigration and Integration collect and checks data for language courses for foreigners before data is send to Statistics Denmark. The Ministry of Education collect and checks data for the adult vocational programmes (in Danish AMU), general and preparatory education and Business Schools before is send to Statistics Denmark. The information from the vocational colleges, business academies, universities and artistic educational institutions is collected by Statistics Denmark After the data has been received, all data undergo an error check in Statistics Denmark., Read more about statistical processing, Relevance, The users of the statistics includes individuals, civil servants, private organizations, foreign actors and the respondents of the data., Applications: Public and private planning, Research, Education, Debate and Marketing etc., One to two times a year members of a Danish committee on education (in Danish, "Ekspertudvalget for Uddannelsesstatistik") meets. In connection with this meeting user-representatives from selected ministries, Labour market organisations and NGOs in the education sector have the opportunity to comment on the statistics., Read more about relevance, Accuracy and reliability, The school year 2025 lacks information on AVU, FVU, HF single subject, dyslexia education, GSK, GIF and open profession. They will be included in the next update of the table. Please note that data at institutions under Ministry of Culture are not included. Moreover, under reporting sometimes occurs the first years after a new activity has been reported. , The far most important source of inaccuracy is incorrect or insufficient registrations. The course provider have the opportunity of reporting supplementary data for previous periods, mainly the year before. Therefore, the latest year is considered as being provisional. The opportunity is used only in a few cases. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published within one year after the reference year. The date of publication may vary and is therefore announced separately each year., The statistics is published on time., Read more about timeliness and punctuality, Comparability, Consistency over time is good in some areas e.g. for Higher Preparatory Examination (in Danish, HF) and Business Administration (in Danish, HD). In other areas as is the case with adult vocational programmes (in Danish, AMU), many changes in course subject and course length make comparability difficult. The activity reflects the trends on the labour market and changes in subsidies. There are no comparable statistics from other countries., Statistics Denmark has since 2015 released data about the course Danish labour market language skills. Since July 1 2017 this course is no longer being offered and has resulted in a notable decrease in the numbers. , Read more about comparability, Accessibility and clarity, The main figures are published in Statbank Denmark under the subject , Adult education programmes, ., Taylor-made statistics is available via , Statistics Denmark's Costumers Centre, . , Micro-data are accessible via , Denmark's Data Portal, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-and-continuing-training

Documentation of statistics

Documentation of statistics: Slaughter Animals and Meat Production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Slaughter Animals and Meat Production 2026 , Previous versions, Slaughter Animals and Meat Production 2025, Slaughter Animals and Meat Production 2024, Slaughter Animals and Meat Production 2023, Slaughter Animals and Meat Production 2022, Slaughter Animals and Meat Production 2021, Slaughter Animals and Meat Production 2020, Slaughter Animals and Meat Production 2019, Slaughter Animals and Meat Production 2018, Slaughter Animals and Meat Production 2017, Slaughter Animals and Meat Production 2016, Slaughter Animals and Meat Production 2015, Slaughter Animals and Meat Production 2014, The purpose of slaughter animals and meat production is to show the size and value of total production of animals for slaughtering and meat. The statistics are used, among other things, to follow the Danish production of slaughter animals and meat in the slaughterhouses. The statistics have a long history and the key figures covering the past 100 years are comparable. During the 1920s and 1930s the statistics were improved and since the Second World War there has been adequate statistics in this area, but is in its present form comparable from 1990 to the year, while the monthly figures are from 1995 onwards., Statistical presentation, The statistics on slaughter animals and meat production are published as monthly and annual statements of slaughtering at slaughterhouses, distributed by cattle, pigs, sheep and lambs, poultry and horses. Information on the number of animals slaughtered and live exported animals as well as the production of meat (amount of edible meat in kg). The statistics also provide data on a wide range of prices and price quotations. Among other things average prices per kg slaughtered weight and sales value in mill. DKK for the individual categories of animals. The statistics are only calculated for Denmark as a whole., Read more about statistical presentation, Statistical processing, The statistics on slaughtering of animals cover all slaughtered animals by Danish slaughterhouses distributed by cattle, pigs, sheep and lambs, poultry and horses. The statistics are broken down by category of animals. To this is added the external trade statistics providing data on live animals. The statistics provide information on the number of slaughtered and live animals exported and meat production (the quantity of edible meat in kg). The figures on production only cover meat for human consumption. The statistics also provide data on a wide range of prices and price quotations., Read more about statistical processing, Relevance, The purpose of these statistics are to show the size and value of the production of animals for slaughtering and meat production. 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 slaughtering are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is mandatory for farmers to report which animals leave the property and where they come. At the same time, it is mandatory for slaughters to register all animals that are slaughtered. In the slaughterhouses, the slaughter weight, the assessment of the carcase, etc. the register of each animal, which includes used to settle the animal. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated down payment paid by the cooperatives and only realized after the end of the year and can thus cause uncertainty about the accrual., Read more about accuracy and reliability, Timeliness and punctuality, Data are published 1½ months after the end of the reference period for monthly and quarterly figures, while annual figures are published approx. 4-5 months after the end of the reference period. The statistics are normally published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Every month and year figures are submitted to the statistical office of EU, Euro stat. Data for all EU countries can be found at Eurostat homepage. The statistics are produced following the principles of an EU regulation, so the results are comparable., Read more about comparability, Accessibility and clarity, These statistics are published 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 , Livestock production, . For further information, go to the , subject page, . , Old data are included in yearly publication , Landbrug, (methodological text is only in Danish) and , Landbrugsstatistik 1900-1965, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/slaughter-animals-and-meat-production

Documentation of statistics

Documentation of statistics: Economic Accounts for Agriculture

Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , sit@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2024 , Previous versions, The Economic accounts for agriculture is a macroeconomic accounting system that illustrates the overall economy of the agricultural sector by providing accounts of production, intermediate consumption, gross investment, and other flows. As a satellite account under the European system of national accounts, this statistic represents the agricultural sector’s contribution to the National Accounts. In 2024, the statistic Gross factor income of agriculture was replaced by the Economic accounts for agriculture, which is regulated by an EU regulation. Accounts for Gross factor income of agriculture are available back to 1935, while the Economic accounts for agriculture in its current form are comparable from 1990 onwards., Statistical presentation, The Economic accounts for agriculture is an annual compilation of the agricultural sector’s economic activities, including the value of production (output), intermediate consumption, and gross investments. In addition, subsidies, labour input, and the sale of pesticides and mineral fertilizers are presented in separate, dedicated tables. The economic activities are compiled at basic prices and expressed in million DKK, both at current prices and at previous year’s prices. The statistics are compiled at both national and regional level. The agricultural labour input is measured in thousand annual work units (AWU). Direct subsidies to the agricultural sector are presented in million DKK. The sale of mineral fertilizers is compiled in tonnes., Read more about statistical presentation, Statistical processing, The Economic accounts for agriculture is a composite statistical product, which means that its calculation basis is built on existing statistics, referred to as primary statistics. The statistics are compiled annually using data from a range of different sources, e.g., the Farm Accountancy Data Network and Feed Production Statistics, as well as from administrative registers, industry organizations, companies, and foundations. Once the data in each primary statistic has been processed, it is transferred to and consolidated in the data processing system for the Economic accounts for agriculture, which calculates the annual values. The value of each product is calculated using the standard “quantity times price” method., Read more about statistical processing, Relevance, The Economic accounts for agriculture are relevant for Danish authorities, the EU, research institutions, and agricultural organizations, as they allow monitoring of developments in the economic activities of the agricultural sector. The statistics also serve as input for the compilation of the National Accounts., Read more about relevance, Accuracy and reliability, The uncertainty in the Economic accounts for agriculture is linked to the uncertainty in the primary statistics used for its compilation. For example, issues such as timing can introduce uncertainty, while other information, such as data from dairies and slaughterhouses, is exact. For preliminary calculations, some estimates are based partly on expert judgment and assumptions until the final data are processed in the primary statistics; therefore, the statistics are considered final only after two years. The sold quantities of mineral fertilizers from the Danish Agency for Green Conversion and the Environment are associated with a certain degree of uncertainty. The data come from the annual collection of sales figures, in which companies with registered products are asked to report the quantities sold of those products. Companies have the option to indicate tax-exempt quantities, but this is voluntary, and not all companies use this option. The data collection does not include self-imports, and some products may be double-counted if a company has not used the option to report a sold quantity as tax-exempt. The data quality is therefore directly dependent on the information provided by the companies to the Agency., Read more about accuracy and reliability, Timeliness and punctuality, Preliminary figures for the Economic accounts for agriculture are published no later than 10 months after the end of the reference year. Revised, yet still preliminary, figures are published 22 months after the end of the reference year. Final figures are published no later than 2 years and 10 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The Economic accounts for agriculture replace the Gross Value Added of Agriculture and are published for the first time in 2025 for the years 2022, 2023, and 2024. They are directly comparable with the Gross Value Added of Agriculture, which can be traced back to 1990, while older compilations exist back to 1935. Unlike the Gross Value Added of Agriculture, the Economic accounts for agriculture include changes in farm stocks and livestock in sales values and present sales values at basic prices. In addition, the compilation contains a number of financial accounts that are not included in the Gross Value Added of Agriculture. As a satellite account, the Economic accounts for agriculture are comparable with the National Accounts’ compilations for the agricultural sector., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . In StatBank, the Economic accounts for agriculture are available under the subject , Agricultural and horticultural economy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economic-accounts-for-agriculture

Documentation of statistics