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Documentation of statistics: Folk high school courses

Contact info, Population and Education, Social Statistics , Mattias Nørgaard Matsushita , +45 20 21 87 90 , MMT@dst.dk , Get documentation of statistics as pdf, Folk high school courses 2025 , Previous versions, Folk high school courses 2024, Folk high school courses 2023, Folk high school courses 2021, Courses and Adult Education - Folk High Schools 2020, Courses and Adult Education - Folk High Schools 2019, Courses and Adult Education - Folk High Schools 2018, Courses and Adult Education - Folk High Schools 2017, Courses and Adult Education - Folk High Schools 2016, Courses and Adult Education - Folk High Schools 2015, Courses and Adult Education - Folk High Schools 2014, The purpose is to describe the participation of the population in adult education in the sense of folk high schools and independent prevocational schools. Courses fulfilling the requirements outlined in the Danish Folk high school law are included, but also non-financed courses of a general folk high school nature. The data is a part of Statistic Denmark's register of adult education and continuing training., Statistical presentation, The Statistics gives a complete picture of the populations participation in folk high school courses as well as courses from the independent prevocational schools. Data are collected on number of participants as well as full-time equivalents. In addition data is also collected on the length of the courses. For the latest year, data based on calendar year only contains data for half a year. This is because data is published on school years so that the second half will become available once the next school year is published , Read more about statistical presentation, Statistical processing, Data are collected annually from the schools administrative systems and by manual reporting. Collected data are validated for institution, type of education, course length and personal ID number. In addition it is determined if pupils has been reported several times. After data has been validated it is divided into: type of folk high school, education area and courses length. annual equivalents are calculated based on the course length and number of participants., Read more about statistical processing, Relevance, The statistics are widely used by municipalities, counties, government departments, non-government organizations, the news media and private enterprises. No user satisfaction data has been collected., Read more about relevance, Accuracy and reliability, The most important source of inaccuracy is insufficient registrations by the administrations of the folk high schools. Various control procedures catches up with this as far as possible. In addition there are small differences in the material delivered by the folk high schools. We are currently working on solving this issue. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic is issued once a year, usually in the first quarter of the year including data from approx. 6 months after the end of the collection period., In general the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, There are statistics on folk high schools in Denmark dating back to 1901, but the statistics are in their present form comparable from 2005 to the present. However, the short courses, under 12 weeks, are only included from 2012. There is no common international standard for statistics on folk high schools, but similar statistics can be found for Norway and Sweden. There are other statistics on folk high schools in Denmark, but there may be differences between definitions (e.g. the school year) and calculation methods (e.g. calculation on the basis of grants or actual activity) which may mean that there is no direct comparability., Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under the subject , Folk high schools courses, ., Researchers can get access to the detailed data of the register of adult education and continuing training by agreement with Statistics Denmark. , Special analyses can be conducted by the Service Department of Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/folk-high-school-courses

Documentation of statistics

Documentation of statistics: Producer and Import Price Index for Commodities

Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , nel@dst.dk , Get documentation of statistics as pdf, Producer and Import Price Index for Commodities 2026 , Previous versions, Producer and Import Price Index for Commodities 2025, Producer and Import Price Index for Commodities 2024, Producer and Import Price Index for Commodities 2023, Producer and Import Price Index for Commodities 2022, Producer and Import Price Index for Commodities 2021, Producer and Import Price Index for Commodities 2020, Producer and Import Price Index for Commodities 2019, Producer and Import Price Index for Commodities 2018, Producer and Import Price Index for Commodities 2017, Producer and Import Price Index for Commodities 2016, Producer and Import Price Index for Commodities 2015, Producer and Import Price Index for Commodities 2014, The statistics Producer and Import Price Index for Commodities show the price development of commodities in the first stage of transaction. The primary use is as deflators (converting nominal values to real values), but is also used as a business cycle indicator and for contract adjustments in the business sector. The index can be divided into Producer price index for commodities, Import price index for commodities and Price index for domestic commodities supply. The Price index for domestic supply of commodities can be traced back to 1876 and in the current form back to 1981. Producer Price Index for Commodities dates back to 2000 and Import Price Index for Commodities to 2005., Statistical presentation, The Producer and Import Price Index for Commodities contains monthly indices of the price development of commodities in the first stage of turnover (business-to-business), i.e. typically sales from producer to wholesaler or retailer, for commodities produced by Denmark for the domestic market and export, or for commodities imported into Denmark. The statistics are divided by product and industry groups., Read more about statistical presentation, Statistical processing, Approximately 7,400 prices from selected producers and importers in Denmark. Of these, approximately 3,800price reports for calculation of Producer Price Index for Commodities, approximately 3,600 for calculation of Import Price Index for Commodities and approximately 5900 price reports are used to calculate the Price Index for Domestic Supply. The prices are validated automatically in connection with the collection. Unusually large price developments are subsequently checked manually. The validated price developments are then aggregated in a hierarchical system, where they are given weight according to their significance to the overall price index., Read more about statistical processing, Relevance, The Producer and Import price index for commodities serves as economic key figures, cyclical indicator, deflator and a contract regulations tool. The primary users of the statistics are the Danish National Accounts, business and stakeholders in the Danish economy. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue in the Danish economy. Weights are based on the National Accounts product balances, which covers the main part of trading in the first stage of sales within the delimitation of the statistics. Sample units are selected on a purposive basis using a top-down approach. As a random sampling method is not being utilised a subsequent assessment of sampling error is not enabled. , Published statistics are considered final. , Producer and import price index for commodities are not considered to have an increased uncertainty due to COVID-19. Data collection has been largely not impacted as a result of the crisis and subsequent non-response levels have remained at their historically low levels., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on a monthly basis. The statistics for a given month are published on the 15th of the following month or the first business day thereafter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics Denmark has calculated variations of this statistic since 1876. The Producer and import price index for commodities can be found as an unbroken monthly time series from 2005 to today. The statistics have been prepared according to international standards and can therefore be compared to similar statistics from other European countries., Read more about comparability, Accessibility and clarity, The statistics are published monthly by Statistics Denmark via press release ", Nyt fra Danmarks Statistik, " (in Danish only) and specifically regard Producer and Import Price Index for Commodities., In the StatBank, the statistics are published under the topic , Producer and import price index for commodities, . , For more information visit the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-and-import-price-index-for-commodities

Documentation of statistics

Contact: National Accounts, Climate and Environment

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Henrik Sejerbo Sørensen , +45 61 46 44 06, hss@dst.dk, Head of Division, Head of Division, Ingeborg Vind , +45 24 83 51 49, inv@dst.dk, Executive chief consultant, Executive chief consultant, Maria Nilsson , +45 61 50 49 65, mnn@dst.dk, Annual National Accounts, Chief Adviser, Chief Adviser, Martin Birger Larsen , +45 61 15 15 43, mbl@dst.dk, Chief Adviser, Chief Adviser, Brian Südel , +45 21 83 60 64, bsu@dst.dk, Chief Adviser, Chief Adviser, Annette Thomsen , +45 22 16 62 51, ath@dst.dk, Senior Adviser, Senior Adviser, Christina Just Brandstrup , +45 21 45 52 79, cjb@dst.dk, Senior Adviser, Senior Adviser, Martin Brandstrup , +45 23 80 57 50, brn@dst.dk, Senior Adviser, Senior Adviser, Ralph Bøge Jensen , +45 21 33 67 84, rbj@dst.dk, Head of Section, Head of Section, Mercedes Sophie Louise Bech , +45 51 53 61 56, mcb@dst.dk, Head of Section, Head of Section, Magnus Børre Eriksen , +45 29 12 27 56, mbe@dst.dk, Head of Section, Head of Section, Louise Mathilde Justesen , +45 40 26 47 43, lom@dst.dk, Head of Section, Head of Section, Niels Lauritzen , +45 23 81 99 13, nso@dst.dk, Head of Section, Head of Section, Tetiana Melnyk , +45 21 83 36 07, tvm@dst.dk, Head of Section, Head of Section, Ina Drabsch Rasmussen , +45 21 34 45 24, idr@dst.dk, Economic Models, Chief Adviser, Chief Adviser, Tony Maarsleth Kristensen , +45 40 20 47 89, tmk@dst.dk, Chief Adviser, Chief Adviser, Jes Asger Olsen , +45 24 26 54 49, jao@dst.dk, Chief Adviser, Chief Adviser, Michael Osterwald-Lenum , +45 20 57 01 29, mol@dst.dk, Chief Adviser, Chief Adviser, Karen Skriver Lauger , +45 51 49 86 87, ksl@dst.dk, Senior Adviser, Senior Adviser, Dawit Sisay Temere , +45 24 92 95 89, dsi@dst.dk, Senior Adviser, Senior Adviser, Thomas Thomsen , +45 50 54 12 98, tth@dst.dk, Head of Section, Head of Section, Benjamin Dahlerup Fazlagic , +45 23 84 60 78, bdf@dst.dk, Green national accounts, Chief Adviser, Chief Adviser, Peter Rørmose Jensen , +45 40 13 51 26, prj@dst.dk, Chief Adviser, Chief Adviser, Ole Gravgård Pedersen , +45 30 89 28 39, ogp@dst.dk, Senior Adviser, Senior Adviser, Asger Andersen , +45 24 75 24 15, asa@dst.dk, Senior Adviser, Senior Adviser, Thomas Eisler , +45 20 56 92 83, tme@dst.dk, Senior Adviser, Senior Adviser, Leif Hoffmann , +45 23 69 58 63, lhf@dst.dk, Senior Adviser, Senior Adviser, Bogomil Emilov Iliev , +45 21 18 78 92, boi@dst.dk, Head of Section, Head of Section, Maria Skytte Christiansen , +45 24 25 42 07, mcr@dst.dk, Head of Section, Head of Section, Michael Berg Rasmussen , +45 51 46 23 15, mbr@dst.dk, Head of Section, Head of Section, Jonas Foged Svendsen , +45 21 34 73 19, jfs@dst.dk, Head of Section, Head of Section, Michael Zörner , +45 24 41 73 66, miz@dst.dk, Input data, Publication and Administration, Senior Head Clerk, Senior Head Clerk, Mette Ferslev , +45 24 79 33 96, mfe@dst.dk, Senior Head Clerk, Senior Head Clerk, Nadiia Mamikonian , +45 40 16 89 17, ndm@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Siemsen , +45 21 57 97 24, bsm@dst.dk, Quarterly National Accounts, Chief Adviser, Chief Adviser, Jonas Dan Petersen , +45 30 57 18 26, jop@dst.dk, Head of Section, Head of Section, Kari Anne Janisse Arildsen , +45 40 43 38 12, kjs@dst.dk, Head of Section, Head of Section, Bahar Dudus Celik , +45 24 78 48 23, bdu@dst.dk, Head of Section, Head of Section, Emma Gabriel , +45 21 19 39 76, ega@dst.dk, Head of Section, Head of Section, Søren Havn Gjedsted , +45 30 45 28 67, shg@dst.dk, Head of Section, Head of Section, Henning Elberg Jørgensen , +45 21 78 12 42, hjg@dst.dk, Head of Section, Head of Section, Oliver Nygaard Sørensen , +45 51 83 40 39, ons@dst.dk, Student, Student, Lærke Brøkner Bendix , +45 29 21 42 04, lbb@dst.dk, Student, Student, Luna Hagmund-Hansen , +45 29 24 56 59, luh@dst.dk, Student, Student, Rasmus Palm , +45 29 25 17 51, rhp@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=06&tlfbogsort=sektion

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: Reported Criminal Offences (Quarterly)

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 (Quarterly) 2025 Quarter 4 , Previous versions, Reported Criminal Offences (Quarterly) 2025 Quarter 3, Reported Criminal Offences (Quarterly) 2025 Quarter 2, Reported Criminal Offences (Quarterly) 2025 Quarter 1, Reported Criminal Offences (Quarterly) 2024 Quarter 4, Reported Criminal Offences (Quarterly) 2024 Quarter 3, Reported Criminal Offences (Quarterly) 2024 Quarter 2, Reported Criminal Offences (Quarterly) 2024 Quarter 1, Reported Criminal Offences (Quarterly) 2023 Quarter 4, Reported Criminal Offences (Quarterly) 2023 Quarter 3, Reported Criminal Offences (Quarterly) 2023 Quarter 2, Reported Criminal Offences (Quarterly) 2023 Quarter 1, Reported Criminal Offences (Quarterly) 2022 Quarter 4, Reported Criminal Offences (Quarterly) 2022 Quarter 3, Reported Criminal Offences (Quarterly) 2022 Quarter 2, Reported Criminal Offences (Quarterly) 2022 Quarter 1, Reported Criminal Offences (Quarterly) 2021 Quarter 4, Reported Criminal Offences (Quarterly) 2021 Quarter 3, Reported Criminal Offences (Quarterly) 2021 Quarter 2, Reported Criminal Offences (Quarterly) 2021 Quarter 1, Reported Criminal Offences (Quarterly) 2020 Quarter 4, Reported Criminal Offences (Quarterly) 2020 Quarter 3, Reported Criminal Offences (Quarterly) 2020 Quarter 2, Reported Criminal Offences (Quarterly) 2020 Quarter 1, Reported Criminal Offences (Quarterly) 2019 Quarter 4, Reported Criminal Offences (Quarterly) 2019 Quarter 3, Reported Criminal Offences (Quarterly) 2019 Quarter 2, Reported Criminal Offences (Quarterly) 2019 Quarter 1, Reported Criminal Offences (Quarterly) 2018 Quarter 4, Reported Criminal Offences (Quarterly) 2018 Quarter 3, Reported Criminal Offences (Quarterly) 2018 Quarter 2, Reported Criminal Offences (Quarterly) 2018 Quarter 1, Reported Criminal Offences (Quarterly) 2017 Quarter 4, Reported Criminal Offences (Quarterly) 2017 Quarter 3, Reported Criminal Offences (Quarterly) 2017 Quarter 2, Reported Criminal Offences (Quarterly) 2017 Quarter 1, Reported Criminal Offences (Quarterly) 2016 Quarter 4, Reported Criminal Offences, Quarter 2016 Quarter 3, Reported Criminal Offences, Quarter 2016 Quarter 2, Reported Criminal Offences, Quarter 2016 Quarter 1, Reported Criminal Offences, Quarter 2015 Quarter 4, Reported Criminal Offences, Quarter 2015 Quarter 3, Reported Criminal Offences, Quarter 2015 Quarter 2, Reported Criminal Offences, Quarter 2015 Quarter 1, Documents associated with the documentation, Rape: Reported criminal offences 2025Q4 (docx), The purpose of the statistics is to show the number of criminal offenses in violation of the penal 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, but are in its present form comparable from 1995 onwards., Statistical presentation, The statistics are a quarterly statement of the number of offences of penal code and special laws/legislation reported to the police or discovered by the police itself. The reported criminal offences can be broken down by type of offenses and geographical on regions and municipalities., 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 quarterly 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. as a basis for public and private planning, training, research and public debate. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The statistics are made based on the data recorded at the time the extract is made. There is also produced an annual statistics for this area which is more complete. Comparisons between the quarterly statistics and the annual statistics reveal that the quarterly statistics under-estimate the number of reported criminal offences with approximately 6 percentages. There is, from quarter to quarter, a shift in the data; part of the registered reported crimes in a given quarter may refer to a previous quarter., 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 20 days. 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 1995. Due to changes in the grouping of the criminal offences caution should be shown by comparing figures over time before this year., Read more about comparability, Accessibility and clarity, The statistics are publiced in the StatBank under the subject , 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--quarterly-

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: 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

Home to work commuting

The commuting from home statistics show the total number of commuters and the distance of the commuting, and they are based on the home address of the commuter. , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Home to work commuting, Register-Based Labour Force Statistics, Key figures, Employed persons (end November) by time, commuting distance and sex, Unit: , Number, Total, Men, Women, 2024, Total, 3,135,965, 1,643,356, 1,492,609, No commuting, 181,310, 122,645, 58,665, Up to 5 km, 873,910, 403,868, 470,042, 5-10 km, 571,462, 280,091, 291,371, 10-20 km, 585,019, 297,655, 287,364, 20-30 km, 324,823, 170,563, 154,260, 30-40 km, 188,623, 103,724, 84,899, 40-50 km, 116,252, 68,137, 48,115, More than 50 km, 288,691, 191,496, 97,195, Unknown, 5,875, 5,177, 698, In Statbank Denmark, you can find more data on Employed persons (end November) (AFSTB3), Average commuting distance (end November) by socioeconomic status and time, Unit: , km, 2022, 2023, 2024, Employed total, 22.2, 22.5, 22.6, Self-employed, 19.0, 18.6, 18.5, Assisting spouses, 17.8, 16.3, 16.1, Employees, managers, 29.4, 29.5, 29.6, Employees - upper level, 22.5, 22.9, 23.1, Employees - medium level, 28.9, 29.3, 29.5, Employees - basic level, 20.8, 21.0, 21.0, Other employees, 18.8, 19.3, 19.7, Employees, not specified, 20.7, 20.7, 20.9, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTB4), Average commuting distance (end November) by time, socioeconomic status and sex, Unit: , km, Total, Men, Women, 2024, Employed total, 22.6, 26.4, 18.7, Self-employed, 18.5, 19.6, 16.9, Assisting spouses, 16.1, 14.6, 16.5, Employees, managers, 29.6, 31.9, 24.8, Employees - upper level, 23.1, 27.2, 20.1, Employees - medium level, 29.5, 35.9, 22.9, Employees - basic level, 21.0, 24.8, 16.6, Other employees, 19.7, 22.5, 16.0, Employees, not specified, 20.9, 23.2, 17.3, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTB4), Employed persons (end November) by time, commuting distance and sex, Unit: , Number, Total, Men, Women, 2024, Total, 3,135,965, 1,643,356, 1,492,609, No commuting, 181,310, 122,645, 58,665, Up to 5 km, 873,910, 403,868, 470,042, 5-10 km, 571,462, 280,091, 291,371, 10-20 km, 585,019, 297,655, 287,364, 20-30 km, 324,823, 170,563, 154,260, 30-40 km, 188,623, 103,724, 84,899, 40-50 km, 116,252, 68,137, 48,115, More than 50 km, 288,691, 191,496, 97,195, Unknown, 5,875, 5,177, 698, In Statbank Denmark, you can find more data on Employed persons (end November) (AFSTA3), Average commuting distance (end November) by socioeconomic status and time, Unit: , km, 2022, 2023, 2024, Employed total, 22.2, 22.5, 22.6, Self-employed, 19.0, 18.6, 18.5, Assisting spouses, 17.8, 16.3, 16.1, Employees, managers, 29.4, 29.5, 29.6, Employees - upper level, 22.5, 22.9, 23.1, Employees - medium level, 28.9, 29.3, 29.5, Employees - basic level, 20.8, 21.0, 21.0, Other employees, 18.8, 19.3, 19.7, Employees, not specified, 20.7, 20.7, 20.9, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTA4), Average commuting distance (end November) by time, socioeconomic status and sex, Unit: , km, Total, Men, Women, 2024, Employed total, 22.6, 26.4, 18.7, Self-employed, 18.5, 19.6, 16.9, Assisting spouses, 16.1, 14.6, 16.5, Employees, managers, 29.6, 31.9, 24.8, Employees - upper level, 23.1, 27.2, 20.1, Employees - medium level, 29.5, 35.9, 22.9, Employees - basic level, 21.0, 24.8, 16.6, Other employees, 19.7, 22.5, 16.0, Employees, not specified, 20.9, 23.2, 17.3, In Statbank Denmark, you can find more data on Average commuting distance (end November) (AFSTA4), Related content in Home to work commuting, Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/erhvervspendling

Subject page

Data from data providers to the databank of basic data

Here you can read about the guidelines for receiving data intended for publication in the databank of basic data of Denmark’s Data Portal (DDP)., If a statistical authority wishes to have its data published in DDP’s databank of basic data, the authority must contact DDP at , ddvgrunddatateam@dst.dk, . DDP will arrange an initial meeting with the statistical authority to discuss the overall characteristics of the register, including dataset size, number of tables, update timing and frequency, timeline, and conditions for publication in DDP databank of basic data. If desired, Statistics Denmark’s (DST) Data Protection Officer (DPO) may be invited to participate in the meeting., DST enters into data transfer agreements with all external data providers in order to transfer data ownership and responsibility to DST. These agreements specify update formats and frequencies, handling of data breaches, and related matters., After this, communication becomes more detailed, covering topics such as naming of the register and how data will be transferred to DDP. The formats must comply with the quality requirements listed below., Receiving External Data, DDP prefers data delivery via transfer to an SFTP server. DDP provides guidance and assistance in setting up this process. Other delivery methods are also possible., Data Types and Quality Requirements for Data to Be Included in the databank of basic data, All data must comply with a set of requirements and standards regarding formats, naming etc. This ensures that data is presented in a uniform, standardized, and easily accessible way. Data are combined across registers and across time, and to make this possible, DDP requires data to be standardized both across registers and over time., When creating data, the provider must ensure that they comply with the general guidelines for establishing Basic Data in DDP., Variable types, lengths, and names, Data types relate to the content of the variable. The following describes how to determine the appropriate data type for a variable., Keys and Identifiers, Keys and identifiers should have the same names across all data series. They must all be defined as character variables, and when they contain purely numeric content, they must include leading zeros (see below)., They must also have an accurate and precise length specification corresponding to the maximum value of the content, and the length must remain consistent over time., Examples (Name, Variable Type, Length):, PNR — CHAR 10, CVRNR — CHAR 8, SENR — CHAR 8 (leading zeros), JOURNR — CHAR 16, RECNUM — CHAR 16, EJENDOMSNUMMER — CHAR 6 (leading zeros), ADRESSE_ID — CHAR 8 (leading zeros), There are, of course, more keys and identifiers than those listed above. DDP is happy to advise on their correct setup., Character Variables – Classifications, Classifications such as SEX, AGE, MUNICIPALITY, and MARITAL STATUS, where the value can be translated into text via a code-text table or format description, must be defined as character variables. Most variables will fall into this category. These fields must also have an accurate length specification, and fields with length > 1 must include leading zeros when they contain purely numeric content., Numeric Variables – Calculation Variables, Variables that can be used for calculations—such as quantities, sums, amounts, or counts—must be numeric. The variable must have an accurate length specification corresponding to the maximum value., For example, AGE should be defined as CHAR(3), as the maximum value may exceed 100. Example of content with leading zeros: AGE = 001, 010, 100., Date Variables, Date fields may be pure dates, but where time information is relevant, they may also be of the timestamp type., Variable Names, Variable names must not contain the Danish characters Æ/æ, Ø/ø, or Å/å., Missing Values in SAS, Variable Type    Missing in SAS, Numeric              . (period), Character           '' (empty string), 1.Numeric variables , A period (.) can be processed in SAS when it is a numeric variable., 2.Character variables , An empty string ('') indicates that the variable is character but contains no value. Values such as “Unknown”, “None”, or 0 must , not, be used. , Documentation requirements for external data to be included in databank of basic data, The external data provider must supply register and variable documentation when the delivery agreement is established. The documentation is published in the DDP App and on DST’s website. Documentation can be uploaded via the Metadata Loader. Guidance can be provided upon request., Variable descriptions are published in the DDP App after the documentation has been uploaded, allowing users to find the relevant information when ordering data., Additional descriptions of the basic data register are published on DDP’s website under , Data from other sources, , where the register receives its own section., In addition to the documentation mentioned above, the data provider is also required to keep DDP informed about data breaches, changes in reporting, changes in legislation, etc. A written notification is required so that DDP can pass the information on to users or add it to the website. This is further specified in the data transfer agreement prepared between the data provider and DDP.

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/data-fra-dataleverandoerer-til-grunddatabanken