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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: Workplaces and jobs

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Workplaces and jobs 2023 , Previous versions, Workplaces and jobs 2022, Workplaces and jobs 2021, Workplaces and jobs 2020, Employment in Businesses 2019, Employment in Businesses 2018, Employment in Businesses 2017, Employment in Businesses 2016, Employment in Businesses 2015, Employment in Businesses 2012, Employment in Businesses 2013, The purpose of the Employment in Businesses (EiB) statistic is to analyze the number of establishments and their employment at the end of November by industries, sectors and municipalities., The statistic has been compiled since 1990. It replaced the register based workplace statistic, which had been compiled for the period 1980-1989., Statistical presentation, The Employment in Businesses (EiB) statistic is published annually. The EiB provides information about the number of establishments and the number of jobs at the end of November plus figures for employment in full-time equivalents and annual wages., Jobs can be either as self-employed, assisting spouses or employees. The statistic can be distributed on municipalities, industries and size of the work place., Read more about statistical presentation, Statistical processing, During the production of the labour market account a register called AMR-UN (labour market account without hour standardization) is made. The EiB statistical register is produced from this register., Read more about statistical processing, Relevance, The statistic is used in planning and analysis etc. Furthermore, the statistics are input to Statistics Denmark's Business Register., Read more about relevance, Accuracy and reliability, The main input for the EiB is the e-income register and therefore the accuracy and reliability of the EiB dependent on the quality of this register., E-income is a register based on information, which the employers report to the tax authorities. Since this is information (e.g. about wages), which employees are taxed on the basis of the quality of this information is high., The statistic is simultaneously a census and hence there is not the same uncertainty as statistics based on random sampling., Against this background, the statistic is considered to have a high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The statistic was until 2016 published 16-18 months after the reference date. From 2017 the statistic is published 10-11 months after the reference date., The statistic is usually published on the scheduled date without delay., Read more about timeliness and punctuality, Comparability, The statistic has been published since 1990, but with data breaks during this period., From 2008 there is no data breaks in the statistic and the figures are thus comparable in this period., Read more about comparability, Accessibility and clarity, Figures are published under the subject , Workplaces and jobs, . You can read more about the EiB , here, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/workplaces-and-jobs

Documentation of statistics

Inflation calculator

Compare prices from previously with today and see how the price level has developed over the years.

https://www.dst.dk/en/Statistik/laer-om-statistik/prisberegner

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: Requests for shelter at womens crises centres

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Requests for shelter at womens crises centres 2022 , Previous versions, The statistics on inquiries to women's crisis centers aims to provide information on the demand for and the capacity of the crises centers based on the number of inquiries to this. The inquiries include both questions about available spots and general guidance. The statistics were first compiled in 2022 with data from the second half of 2021. Reporting to the statistics is voluntary., Statistical presentation, The statistics are an annual count of the number of inquiries to women's crises centers, which have been set up and operated in accordance with §109 of the Act on Social Services. Among other things, the statistics cover the duration of the inquiry, who submits the inquiry, and what the purpose of the inquiry is. The statistics contribute with an insight into the reasons for and the extent of requests for available spots, as well as where women, e.g. due to lack of space, instead refer to., Read more about statistical presentation, Statistical processing, Data for these statistics is collected via quarterly reports from the individual women's crises centers. By the end of the year, the collected data is processed to a single dataset. The majority of the reported inquiries are anonymous which means the inquiry does not include a valid CPR number. The crisis centers do not approve their data afterwards., Read more about statistical processing, Relevance, The statistics are relevant for authorities, analysts and researchers who want information about the demand for and the capacity of women's crisis centers as well as the reasons behind the inquiries., Read more about relevance, Accuracy and reliability, Reporting of social security numbers to the statistics is voluntary, and 95 pct. of the reports are based on anonymous social security numbers., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 9 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics on inquiries for women's crisis centers are a relatively new statistics. Among other things, it supplements the statistics on stays at women's crisis centers., Read more about comparability, Accessibility and clarity, Data is only made available to ministries and researchers by Statistics Denmark's Scheme for researchers., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/requests-for-shelter-at-womens-crises-centres

Documentation of statistics

Classification of education (DDU), current educations, v1:2023

Name: , DDU_UDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), current educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Classification of education (DDU), completed educations, v1:2023

Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DDU), completed educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer

Documentation of statistics: Danish Vessels

Contact info, Food Industries, Business Statistics , Charlotte Spliid Hansen , +45 29 41 97 76 , chh@dst.dk , Get documentation of statistics as pdf, Danish Vessels 2024 , Previous versions, Danish Vessels 2022, Danish Vessels 2020, Danish Vessels 2019, Danish Vessels 2018, Danish Vessels 2017, Danish Vessels 2016, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2015, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2013, The purpose of these statistics is a description of vessels registered in Denmark as fishing vessels. Data are provided by The Danish Fisheries Agency's register., Statistical presentation, Statistics for the Danish fleet of fishing vessels are based on those vessels that are registered in The Danish Fisheries Agency as commercial fishing vessels. A registration is needed for commercial fishing., Read more about statistical presentation, Statistical processing, The administrative register for fishing vessels have records of all vessels with permission to commercial fishery. Data are reported from owners of vessels on the form from the Fisheries Agency. Data are checked for inconsistencies., Read more about statistical processing, Relevance, Landing data is used to manage fishing and quota reporting of Danish fishing etc., Read more about relevance, Accuracy and reliability, This statistics covers all Danish commercial fishery vessels. Reporting to the register is mandatory and thus the statistics covers all legally reported fishing vessels. Recreative fishery is not included. There is a close cooperation with fishermen in relation to validation of data. Annually campaigns are made regarding applying of rules and reporting valid data. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the reference period. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, On the calculated level of aggregation, there is no significant data breach., Read more about comparability, Accessibility and clarity, These statistics feature in a Danish press release , Nyt fra Danmarks Statistik, and are published in the StatBank under , Fishery and aquaculture, . For further information look at , Fiskeri, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-vessels

Documentation of statistics