Search result

Documentation of statistics: The Education Transition Register

Contact info, Population and Education , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, The Education Transition Register 2019 , Previous versions, The Education Transition Register 2018, The Education Transition Register 2017, The Education Transition Register 2016, The Education Transition Register 2015, The Education Transition Register 2014, The purpose of The Education Transition Register is to give a fundament for describing transitions through the education system beside the one there are in The Student Register. In The Education Transition Register there is a number of simple counts of movements in the education system, ex the number of time a student change education within the same group of education and completion time., Statistical presentation, In The Education Transition Register the central unit is education groups instead of individual programs. The Education Transition Register looks at these group of educations and the students are followed through a education group with the new elections and institutional changes that may occur., Read more about statistical presentation, Statistical processing, The education career in The Student Register is divided into groups The individual record relate to a group and have information about the progress through the groups as well as the transitions between the groups. See also the statistical treatment in the documentations of statistic for The Student Register., Read more about statistical processing, Relevance, The register is obvious to illuminate the process of education., Read more about relevance, Accuracy and reliability, The reliability of the educational information is judged to be good. The Education Transition Register is based on The Student Register. The information in The Student Register, comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 5 months after the end of the reference time. The statistics are usually published without delay to the scheduled date., Read more about timeliness and punctuality, Comparability, The information in The Education Transition Register starts in 1973 and the comparability over time good. Basic school includes only grade 8-10 up to the school year 2005/2006. From 2006/2007 preschool through 7 grade are included., Read more about comparability, Accessibility and clarity, The statistical data is released in , Nyt fra Danmarks Statistik, Statistic Denmarks Statbank dissiminated figures from the Transition register under the subject , Educational transitions, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-education-transition-register

Documentation of statistics

Documentation of statistics: Family benefits and child supplements

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Family benefits and child supplements 2024 , Previous versions, Family benefits and child supplements 2023, Family benefits and child supplements 2022, Family benefits and child supplements 2021, Family benefits and child supplements 2020, Family benefits and child supplements 2019, Family benefits and child supplements 2018, Family benefits and child supplements 2017, Family benefits and child supplements 2016, Family benefits and child supplements 2015, Family benefits and child supplements 2014, Family benefits and child supplements 2013, The purpose of the statistics about family benefits and child supplements is to illustrate the number of recipients of family benefits and child supplements plus the payments and the number of children they receive payments for. The statistics of family benefits has been published from the tax year 1957/58, but the current format dates back to 2017., Statistical presentation, The statistics describe the number of people receiving child and youth benefit and child supplements and the benefit amount. Since 2017, the statistics are based on the paid amounts each quarter as opposed for the granted amount for a set period. The statistics are published in the Statbank. The statistics are aggregated i regards to benefit type and geographical area., Read more about statistical presentation, Statistical processing, The statistics is collected directly from the IT systems paying out the family benefits and child supplements at ATP via NetCompany. Data is validated by checking for duplicate amongst others. Data are aggregated by benefit or allowance type and geographical area., Read more about statistical processing, Relevance, Users: Ministries, agencies, the Law Model, Local Government Denmark, municipalities and researchers. The statistics is used internally in Statistics Denmark. The statistics is not presented at any committees for users., Read more about relevance, Accuracy and reliability, The statistics are based on a register that covers all recipients of family benefits and child supplements, as well as the children the benefits are provided for. The data also includes correction due to errors in previous payments., Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published 4 months after the end of the 4th quarter. , Read more about timeliness and punctuality, Comparability, In it's current form data is fully comparable from 2017 Q1. Prior to 2017 adjustments made to payouts due to errors in preceding quarters was not included in the data., Read more about comparability, Accessibility and clarity, The statistics is published in the StatBank under the subject , Family benefits and child supplements, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/family-benefits-and-child-supplements

Documentation of statistics

Documentation of statistics: Names

Contact info, Population and Education , Get documentation of statistics as pdf, Names 2021 , Previous versions, Names 2020, Names 2017, Names 2016, Names 2014, Statistics on names covers first names and surnames in the Danish population and was established in 1995, initially as a project for the Department of Name Research at Copenhagen University., Statistical presentation, The statistics on names are split up into two different statistics. One concerns the whole population in Denmark at 1st January by first name and surname. The other concerns names given to newborn children during a given year., Read more about statistical presentation, Statistical processing, Statistics on names is based on the Central Person Register (CPR) based on the total population and newborns as in the population statistics. The number of people with different first names and surnames using only the first and the last name for a person., Read more about statistical processing, Relevance, The Department of Nordic Studies and Linguistics (NorS) at Copenhagen University, the media, private people and private businesses are using the statistics for public and private purposes., Read more about relevance, Accuracy and reliability, The statistics are based on the population registered in the Central Person Register (CPR) as calculated in the population statistics, where the main source of uncertainty in the population figure is delayed registration of emigrants., Read more about accuracy and reliability, Timeliness and punctuality, Names of newborn children are published in the middle of July, in the year after end of the reference year. Names of the total population are calculated per 1st January and are published in the middle of January. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics on names of the total population is comparable since 2002 and statistics on names of newborn children can be compared since 1985. From 1996 the statistics concerning names includes all people living in Denmark. Before 1996 the statistics concerning names only included Danish citizens living in Denmark. The statistics concerning names are internationally comparable., Read more about comparability, Accessibility and clarity, Statistics on names are published in two separate Danish press releases. Lists of names are available on the subject pages concerning , Names of the total population, and , Names of newborn children, ., In the name database , How many Danes have the name..., it is possible to enter a first name and/or surname and find out how many have a given name., In Statistics Denmark's , Barometer of names, it is possible to enter a first name and see the development in how many newborns have been given a given first name over the years., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/names

Documentation of statistics

Contact: Business Dynamics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Martin Ausker , +45 42 16 82 16, mau@dst.dk, Accounts Statistics, Senior Adviser, Senior Adviser, Jeppe Strandgaard Herring , +45 24 44 43 06, jhr@dst.dk, Senior Adviser, Senior Adviser, Søren Østerballe , +45 23 42 32 97, srb@dst.dk, Head Clerk, Head Clerk, Iben Amalie Arce , +45 20 55 19 86, iaa@dst.dk, Head Clerk, Head Clerk, Annette Rasmussen , +45 24 87 73 22, apr@dst.dk, Senior Clerk, Senior Clerk, Tonia Shcheglova , +45 30 58 51 29, ton@dst.dk, Senior Head Clerk, Senior Head Clerk, Tanja Jørgensen , +45 24 87 75 92, tnj@dst.dk, Senior Head Clerk, Senior Head Clerk, Maiken van Hauen Nielsen , +45 21 34 91 21, mvn@dst.dk, Enterprise Statistics and Globalisation, Chief Adviser, Chief Adviser, Kalle Emil Holst Hansen , +45 21 58 48 87, khs@dst.dk, Chief Adviser, Chief Adviser, Peter Bøegh Nielsen , +45 41 10 31 41, pbn@dst.dk, Senior Adviser, Senior Adviser, Alina Grecu , +45 30 55 18 24, agc@dst.dk, Head of Section, Head of Section, Emil Tappe Bang-Mortensen , +45 24 67 85 25, ebm@dst.dk, Head of Section, Head of Section, Asbjørn Hviid Mikkelsen , +45 29 42 68 36, ahm@dst.dk, Head of Section, Head of Section, Julie Cathrine Krabek Sørensen , +45 23 66 46 60, jck@dst.dk, Senior Head Clerk, Senior Head Clerk, Kamilla Elkjær , +45 23 45 44 37, kea@dst.dk, FKV, Chief Adviser, Chief Adviser, Jon Mortensen , +45 23 69 32 37, jmo@dst.dk, Senior Adviser, Senior Adviser, Dennis Pipenbring , +45 51 49 18 45, dpi@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=11&tlfbogsort=sektion

Contact: Short-term Statistics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Søren Kühl Andersen , +45 22 26 04 36, ska@dst.dk, Construction Statistics, Index, Danish Building and Housing Register, etc., Senior Adviser, Senior Adviser, Kasper Emil Dueholm Freiman , +45 23 45 47 32, kfr@dst.dk, Industry, Chief Adviser, Chief Adviser, Mathias Dybdahl Bluhme , +45 40 22 56 37, mdb@dst.dk, Senior Adviser, Senior Adviser, Simon Bolding Halifax , +45 51 29 21 91, sbh@dst.dk, Head of Section, Head of Section, Morten Skovrider Kollerup , +45 24 52 61 68, msl@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Eriksen , +45 61 50 41 27, bhe@dst.dk, Senior Head Clerk, Senior Head Clerk, Inger Hansen , +45 40 23 78 84, iha@dst.dk, Senior Head Clerk, Senior Head Clerk, Heidi Sørensen , +45 24 79 86 81, hsn@dst.dk, Purchases and Sales by Industry and Retail Trade Index, Chief Adviser, Chief Adviser, Lina Pedersen , +45 51 68 72 80, lip@dst.dk, Retail trade index, Chief Adviser, Chief Adviser, Nina Thøgersen , +45 21 20 32 67, nit@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Larsen , +45 81 75 12 42, kil@dst.dk, Secretary, Tourism, Senior Head Clerk, Senior Head Clerk, Majbrit Holst , +45 24 94 08 24, mbj@dst.dk, Tourism, Chief Adviser, Chief Adviser, Karen Keller , +45 21 19 85 61, kke@dst.dk, Transport and Vehicles, Chief Adviser, Chief Adviser, Peter Ottosen , +45 30 42 91 91, pot@dst.dk, Head Clerk, Head Clerk, Henriette Erichsen , +45 29 77 56 38, hee@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Moric Ingemann , +45 24 78 42 12, kam@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=08&tlfbogsort=sektion

Documentation of statistics: Migration to and from Denmark (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Migration to and from Denmark 2016 , Previous versions, Migration to and from Denmark 2015, Migration to and from Denmark 2013, The purpose of the statistic is to describe the total immigration to Denmark and emigration from Denmark which have occurred during the period., Statistical presentation, The statistic describes immigration to Denmark and emigration from Denmark. A newsletter is published when the statistic is ready. The statistic is published each quarter. With the dissemination of the 4th quarter statistics an annual statistic for entire year is also published., At the same time tables in the Statbank are updated. Immigration and emigration can be broken down by age, sex, municipality, citizenship and country of origin or country of destination., Read more about statistical presentation, Statistical processing, CPR (central population register) is the source for information about migration., Data is processed 30 days after the end of the reference year and published shortly after. For 2013 the statistic was published 11 February 2014., Read more about statistical processing, Relevance, Municipalities, regions, ministries, organizations, research institutions, private enterprises, news media and individuals are among the users., Read more about relevance, Accuracy and reliability, Emigration numbers are systematically underestimated. This is due to the fact that many people move abroad without telling the authorities. It is the municipalities who are responsible for the maintenance of the CPR. The correct numbers for emigration is estimated to be about 15-20 percent higher than the published., A similar problem is not an issue for immigration where the underestimation is about 1-2 percent., Therefore it is not possible to have a correct measure for net migration simply by subtracting emigration from immigration. That would overestimate net migration., Persons who take up residence in Denmark without being registered in the CPR are not included among immigrated in the statistic., Asylum seekers are not included among immigrated in the statistic. It is only when they get a residence permit and are registered in the CPR that they will counted as immigrated., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately 6 weeks after the end of the reference period. These statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, There is a break in the series in 2007, where a new way of calculating the annual immigration and emigration was introduced. The changes are particularly relevant for emigration where the new method results in lower numbers., Read more about comparability, Accessibility and clarity, Statistic is published in newsletter and tables in the Statbank., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/migration-to-and-from-denmark--discontinued-

Documentation of statistics

Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

Documentation of statistics

Documentation of statistics: International Trade in Services by Enterprise Characteristics

Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Services by Enterprise Characteristics 2022 , Previous versions, International Trade in Services by Enterprise Characteristics 2021, International Trade in Services by Enterprise Characteristics 2020, International Trade in Services by Enterprise Characteristics 2019, International Trade in Services by Enterprise Characteristics 2018, International Trade in Services by Enterprise Characteristics 2017, The purpose of Trade in Services by Enterprise Characteristics (STEC) is to describe enterprises engaging in international trade in services, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2014 and are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Services by Enterprise Characteristics is an annual measurement of enterprises involved in international trade in services and their characteristics, stated in value. The statistics are grouped by economic activity, enterprise size, ownership and type of services., Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in services (ITSS) with Business statistics. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, STEC is relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to the international trade in services in Denmark. , Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Service by Enterprise Characteristics is closely related to the accuracy of International Trade in Service Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Service Statistics., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, STEC have been compiled since 2017 but is comparable from 2014 to 2018 for legal units. From 2019 the statistics have been compiled using the enterprise unit. The data is fully comparable with compiled services in the ITSS and Balance of payments statistics. Comparability with other statistics, such as the business statistics can be limited due to different coverages., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , International Trade in Services, .The statistics can also be found in various publications and analysis., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services-by-enterprise-characteristics

Documentation of statistics

Documentation of statistics: Rent indices for housing

Contact info, Prices and Consumption, Economic Statistics. , Martin Sædholm Nielsen , +45 24 49 72 81 , mne@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

Documentation of statistics

Documentation of statistics: Port calls in Danish sea ports (experimental statistics)

Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Port calls in Danish sea ports 2020 (experimental statistics) , Previous versions, This experimental statistics shows the activity in Danish ports measured by port calls. The statistics as an experimental statistics is not part of the official statistics program of Statistics Denmark. The statistics is experimental because it is the first time Statistics Denmark uses the large amounts of data in the AIS system (Automated Information System) and the methods for data treatment are still under development. The details in the presentation and the form of dissemination can change as Statistics Denmark receives feedback from users or during the continued development., Statistical presentation, The statistics is an index of the number of port calls to Danish ports and covers freight and container vessels. The statistics is made based on ship position data (AIS data) made available by the Danish Maritime Authority. The statistics is only published in the Statbank., Read more about statistical presentation, Statistical processing, AIS data is received in a continuous stream and registered daily. The process starts with a data reduction after which a representative arrival and departure observation is selected. Afterwards the ports are defined from the AIS-data after which ports and arrival/departure pairs representing a port call is matched., Finally tables, indices and seasonally adjustments are produces., Read more about statistical processing, Relevance, The statistics provides faster data on the activity in Danish ports and the possibility to cover more types of vessels compared to existing maritime statistics. The statistics is experimental and a part of this concept is to reveal relevance and user needs. Industry organisations have however expressed interest in the statistics., Read more about relevance, Accuracy and reliability, The precision of the statistics in terms of the development of the actual port calls in Danish ports and for freight and container vessels is relative high based on a comparison between the quarterly maritime statistics., The statistics is at the moment assessed to have a medium reliability since no revision analysis has been performed yet., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is planned for publication approximately 10 days after the reference period., Read more about timeliness and punctuality, Comparability, Only few other countries uses AIS data to make maritime statistics since the statistics still is an experimental statistics without a fixed international methodology. A comparison with similar data from the maritime statistics is possible despite a number of differences., Read more about comparability, Accessibility and clarity, The statistics is published in , Statbank, and on the subject page for , Harbours, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/port-calls-in-danish-sea-ports--experimental-statistics-

Documentation of statistics