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Documentation of statistics: Harmonized Index of Consumer Prices (HICP)

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2025 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Weightings 2025 (xlsx), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services., The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The HICP is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample., Read more about accuracy and reliability, Timeliness and punctuality, The HICP 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 Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

Documentation of statistics

Documentation of statistics: Consumer Price Index

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Consumer Price Index 2025 , Previous versions, Consumer Price Index 2024, Consumer Price Index 2023, Consumer Price Index 2022, Consumer Price Index 2021, Consumer Price Index 2020, Consumer Price Index 2019, Consumer Price Index 2018, Consumer Price Index 2017, Consumer Price Index 2016, Consumer Price Index 2015, Consumer Price Index 2014, Documents associated with the documentation, Klassifikationskoder og beskriveler (pdf), Notat om forbruger-og nettoprisindekset i forbindelse med coronakrisen (pdf) (in Danish only), Weightings 2025 (xlsx), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Vægte 2021 og corona (pdf) (in Danish only), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), The purpose of the consumer price index is to measure the development of the prices charged to consumers for goods and services bought by private households in Denmark. The consumer price index has been calculated since 1914, but there are estimated figures for the development in consumer prices back to 1872. From January 1967 the index has been calculated on a monthly basis., Statistical presentation, The consumer price index shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services. The consumer price indices divided by group of households show the price development for different households. , The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The consumer price index is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the consumer price index, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total consumer price index. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the consumer price index in connection with changes in the sample. , Read more about statistical processing, Relevance, The consumer price index is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the consumer price index as the sample is not randomly drawn, but the quality of the consumer price index is accessed to be high., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample (se chapter regarding "Non-sampling error")., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price 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., The consumer price indices divided by group of households are published twice a year., Read more about timeliness and punctuality, Comparability, The consumer price index is related to the European Union harmonized consumer price index (HICP) and to the index of net retail prices. From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. The consumer price index is also related to the index of net retail prices. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Consumer Price Index, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-price-index

Documentation of statistics

Documentation of statistics: Business Enterprise Research and Development (BERD)

Contact info, Science, Technology and Culture, Business Statistics , David Boysen Jensen , +45 61 50 73 82 , DBY@dst.dk , Get documentation of statistics as pdf, Business Enterprise Research and Development (BERD) 2024 , Previous versions, Business Enterprise Research and Development (BERD) 2023, Business Enterprise Research and Development (BERD) 2022, Business Enterprise Research and Development (BERD) 2021, Business Enterprise Research and Development (BERD) 2020, Business Enterprise Research and Development (BERD) 2019, Business Enterprise Research and Development (BERD) 2017, Business Enterprise Research and Development (BERD) 2016, Business Enterprise Research and Development (BERD) 2015, Business Enterprise Research and Development (BERD) 2014, Business Enterprise Research and Development (BERD) 2013, Business Enterprise Research and Development (BERD) 2012, The purpose of the R&D statistics of the enterprise sector is to analyse the scope of research and experimental development undertaken within the sector. This is carried out by estimating the resources used in the area, measured in R&D-expenditure and R&D-personnel broken down on industry, size class and the regional level. The survey is conducted in accordance with OECDs guidelines for R&D statistics as described in the Frascati Manual. The Danish data are comparable with the data of other OECD- and EU-countries. , Statistical presentation, The purpose of the R&D statistics is to present the scope of research and experimental development undertaken within the Danish business sector. The aim is to secure detailed statistical information on the R&D activities., Read more about statistical presentation, Statistical processing, The statistics is based on a survey sample of approx. 3,500 units weighted to a frame of approximately 22,000 enterprises. The statistics is compiled in one joint questionnaire which covers both the R&D domain and the innovation statistics. An extensive validation process of the data is carried out. One part of the validations is integrated in the data collection in the dynamic web-questionnaire, another part is carried out after the data collection using micro- and macro validation techniques., Read more about statistical processing, Relevance, Statistics have users in ministry of science, business organizations, researchers, business and students. Statistics are used in publications on research and in international comparisons. R&D statistics is describing the knowledge society. Part of the EU's Innovations Union Scoreboard. Micro-data is available for research through Research Service at Statistics Denmark., Read more about relevance, Accuracy and reliability, To minimize errors the questionnaires are supported with guidelines and instructions. However some data reports are not error-free and may reflect misinterpretations from the respondents which can lead to certain errors., Coefficients of variance (CV) have been compiled for a range of central indicators., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally published no later than 12 months after the end of the reference year. Statistics with reference year 2023 was published 1. April 2025., Read more about timeliness and punctuality, Comparability, The statistics is compiled according to the guidelines of the Frascati Manual and the EU Regulation. There are no other comparable Danish R&D-statistics, but the Danish statistics is comparable to the R&D statistics from other EU-member states and OECD-countries. The statistics is from 2007-2016 comparable. There was a break in time series from 2016 to 2017. From 2017-2024 the statistics is comparable., Read more about comparability, Accessibility and clarity, The statistics are published in Focus On Statistics Denmark (Nyt fra Danmarks Statistik) and are available from Statistics Denmark's website at https://www.dst.dk/fui and from the database StatBank Denmark (https://www.dst.dk/statistikbanken). The statistics can also be found at the Eurostat databases (under the STI-domain). For the years 2012-2020 Statistics Denmark published a more extensive publication concerning R&D and innovation: "Innovation og Forskning 2020" (Innovation and research 2020).The publication is available (Danish only) on https://www.dst.dk, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-enterprise-research-and-development--berd-

Documentation of statistics

Documentation of statistics: Adult education and continuing training

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

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

Documentation of statistics

Documentation of statistics: Performing arts

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Performing arts 2025 , Previous versions, Performing arts 2024, Performing arts 2023, Performing arts 2022, Performing arts 2020, Performing arts 2019, Performing arts 2018, Performing arts 2017, Performing arts 2016, Performing arts 2015, Performing Arts 2013, The statistic shows the activity at the professional theaters in Denmark. The theaters divided into state-subsidized and non-state-subsidized theaters. Statistics for the state-subsidized theaters have been prepared since the season 1980/1981. Statistics for the non-state-subsidized theaters have been prepared since the 2003/2004 season. Statistics on international guest performances on both state-sponsored and non state-subsidized theaters have been prepared since the 2004/2005 season. In season 2005/2006 was the concert and culture hosted international guest performances also included in the statistics. The figures for the season 2015/2016 are not directly comparable with previous figures as there has been a data break. , Statistical presentation, The statistics show annual seasonal activities, productions, performances, spectators and primary audiences at the state-supported and non-state-supported professional theatres. For each production there is information about genre, theater category, activity, stage and audience group.. For the season 2020/2021 and forward, the statistics have been revised, where the number of categories with regards to theatres, genre and audience group have been expanded. Therefore there has been a data break. Two new tables in Statbank has been developed, SCENE08A and SCENE10A, which are consistent back to season 2015/2016. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from individual theaters via an electronic questionnaire. The collected data is validated for consistency and compared with previous seasons. After validation, the data is aggregated, and imputation is performed for missing responses. Special considerations are taken for extraordinary circumstances, such as closures and restrictions related to COVID-19 during the 2019/2020 and 2020/2021 seasons, as well as to some extent in the subsequent seasons, where additional statistical treatment was necessary., Read more about statistical processing, Relevance, Key users are the Ministry of Culture, government, public and private organizations, researchers and the press. There has not been a user satisfaction., Read more about relevance, Accuracy and reliability, Reporting for the Performing Arts statistic is voluntary. Therefore, the statistics are not fully comprehensive. Several of the non-state-subsidized theaters report that they do not have resources to cooperate in the investigation. Many reporters are small theater producers / project theaters that receive government subsidies to develop a single production. It can be difficult to get reports from some of these reporters. Yet it is estimated that performing arts statistics cover the majority of activities in performing arts, as all large and medium state-subsidized and non-subsidized theaters, participate in the study in each season., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published approximately six months after the end of the season. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the season 1980-81. In connection with the changes to the legislative etc., Regulating aid to the theaters, there may be changes in the population, which can complicate comparisons over time. There has been no comparison of these statistics with similar international surveys., StatBank Denmark contains 3 tables with data that can be returned for the season 1981/1982., Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, (News from Statistics Denmark - in Danish only) and in the StatBank under , Theatre and dramatic art, ., You can also find figures on performing arts in the , Publication on culture, (In Danish only)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/performing-arts

Documentation of statistics

Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform DDP App. Denmark’s Data Portal manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in DDP App, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish),  , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf),  , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers and data packages, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Datapackages (pdf - in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

Contact: Finance, HR and Service

Section/Title, Name, Phone, Mail, IT supporter trainee, IT supporter trainee, Mikkel Mørch Eddelien , +45 23 46 46 29, mme@dst.dk, IT supporter trainee, IT supporter trainee, Alex Dyrhauge Halberg Petersen , +45 21 79 41 93, adp@dst.dk, Office Trainee, Office Trainee, Malene Boie Simonsen , +45 21 44 34 78, moe@dst.dk, Management and Office Support, CFO, CFO, Jakob Vestergaard , +45 20 20 18 38, jbv@dst.dk, Development and Results, Senior Adviser, Senior Adviser, Katrine Houbak Hertel , +45 23 71 13 08, khh@dst.dk, Head of Section, Head of Section, Anette Bjørsted , +45 20 47 21 46, atb@dst.dk, Finance, Chief Adviser, Chief Adviser, Malene Nygaard Uldahl , +45 20 40 33 14, mnu@dst.dk, Senior Adviser, Senior Adviser, Edyta Beata Banas Hansen , +45 21 16 85 34, ebb@dst.dk, Senior Adviser, Senior Adviser, Jasper Hartmann Jørgensen , +45 40 29 47 60, hrt@dst.dk, Senior Adviser, Senior Adviser, Helle Kofoed Larsen , +45 20 47 87 23, hla@dst.dk, Executive chief consultant, Executive chief consultant, Susanne Clausen , +45 20 16 14 17, shc@dst.dk, Senior Clerk, Senior Clerk, Mette Kjeldahl Wrona , +45 23 32 53 97, mwr@dst.dk, Senior Head Clerk, Senior Head Clerk, Pernille Gregersen , +45 40 13 85 96, pgr@dst.dk, Senior Head Clerk, Senior Head Clerk, Bodil Jonasen , +45 20 47 77 52, bjn@dst.dk, Senior Head Clerk, Senior Head Clerk, Anita Kristensen , +45 20 47 35 43, aak@dst.dk, Student, Student, Hanna Navasser , +45 21 16 74 83, hnv@dst.dk, HR, Chief Adviser, Chief Adviser, Helle Thejn , +45 21 52 82 40, hth@dst.dk, Senior Adviser, Senior Adviser, Laura Winther Milde , +45 20 16 27 63, lwm@dst.dk, Head of Section, Head of Section, Celina Jancey , +45 21 25 90 68, cel@dst.dk, Executive chief consultant, Executive chief consultant, Anne Engholm Jelby , +45 21 47 36 26, aeh@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Ehlig Hansen , +45 24 93 35 73, tie@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Juul , +45 20 46 27 18, kjj@dst.dk, Senior Head Clerk, Senior Head Clerk, Linda Juvald , +45 21 19 62 18, ljv@dst.dk, Senior Head Clerk, Senior Head Clerk, Pia Kraag Krüger , +45 24 25 95 07, pkr@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Hermann Nielsen , +45 21 79 83 82, kan@dst.dk, Senior Head Clerk, Senior Head Clerk, Sonja Tesch , +45 24 37 26 17, sba@dst.dk, Internal services, Senior Head Clerk, Senior Head Clerk, Gitte Hansson , +45 22 26 70 04, gpt@dst.dk, Office Trainees, Office Trainee, Office Trainee, Monique Neergaard-Nielsen , +45 29 27 35 53, moq@dst.dk, Office Trainee, Office Trainee, Sara Louise Bøggild Nielsen , +45 21 79 96 38, sbo@dst.dk, Office Trainee, Office Trainee, Helle Schandorff Eriksen , +45 24 49 12 01, hse@dst.dk, Office Trainee, Office Trainee, Signe Tarp , +45 23 42 89 73, sig@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=07&tlfbogsort=sektion

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in the DDP App. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Denmark’s Data Portal must create the population, If Denmark’s Data Portal is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in the DDP App, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Denmark’s Data Portal have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Denmark’s Data Portal prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Denmark’s Data Portal uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Denmark’s Data Portal creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or external data to be used, Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Denmark’s Data Portal uses the term 'case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in the DDP App, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Denmark’s Data Portal, a detailed extraction description of the case control population is prepared. The final extraction description is attached as an appendix to the project proposal. Please note that the DDP App only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/populationsbeskrivelse

Documentation of statistics: Highest Education Attained

Contact info, Population and Education, Social Statistics , Lars Peter Smed Christensen , +45 20 42 35 51 , LPC@dst.dk , Get documentation of statistics as pdf, Highest Education Attained 2024 , Previous versions, Highest Education Attained 2023, Highest Education Attained 2022, Highest Education Attained 2021, Highest Education Attained 2020, Highest Education Attained 2019, Highest Education Attained 2018, Highest Education Attained 2017, Highest Education Attained 2016, Highest Education Attained 2015, Highest Education Attained 2014, Highest Education Attained 2013, The purpose of the statistics on educational attainment is to give an overall statistical description of the educational level of the population at any given time. The primary data source to these statistics is the Student Register with data from 1970 onwards. In addition, the Qualification Register is used. Since the Student Register is the primary source for information, the Attainment Register gives nearly complete coverage from 1970 onwards. There is, however information before this time coming from The Qualification Register., Statistical presentation, The Attainment Register gathers information about the highest completed education for each single person based on the information in the Student Register and the Qualification Register. It is a longitudinal register based on an assessment of each person's education "career" and shows how the qualification career develops over time. The register is formed by interpreting the qualification career (skills in chronological order) in order to determine a change in the skill level. Once a year a status register is also produced with the population and information about education the 30. September the current year., Read more about statistical presentation, Statistical processing, The Attainment Register is a longitudinal register based on a assessment of each persons education career in The Student Register and The Qualification Register. It shows how the qualification career develop over time, and it is updated once a year. The status register is produced on the basis of the longitudinal register and contains information about the population and their highest completed education per. September 30 the given year., Read more about statistical processing, Relevance, There is a great variety of users. The information is generally used in connection with describing the population or sections hereof. The register is used in connection with status reports for other statistical fields. Data reports are thus submitted for (mainly on the population's highest level of education completed) a wide number of integration registers operated by Statistics Denmark. Furthermore, the register is frequently used in connection with external service activities order by Danish ministries, municipalities, research institutions, professional organization, private enterprises, private individuals and, not least, requests made by the news media., Read more about relevance, Accuracy and reliability, The Accuracy and reliability vary depending on the source of information. More than 80 pct. of the information comes from administrative sources, such as student systems of educational institutions, which are highly reliable. These sources have priority one when the registry is created and will be used if there is information from one of these sources. Other sources are not so closely linked to the education programs and will often be less reliable. Examples of these sources are the surveys of immigrants' education and the population and housing census in 1970, based on self-reported education. In addition, information is imputed for persons who do not respond in the study of immigrants' education. The imputed data is useful in overall statistical statements, but cannot be considered as valid information on individuals' educational attainment. , In connection with the annual reports from the education institutions there is information which also relate to previous years. These delayed notifications concern particularly the last year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 6 months after the end of the reference time. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The longitudinal register is produced once a year and the entire period is thus calculated in the same way. Based on the longitudinal register, a status register is produced with the population per. September 30 that year. In the event of significant changes in the way the longitudinal register is produced, the status registers for all years will be reproduced. It happens that an education changes level from one year to the next. Typically, this will not cause a reproduction of all the status registers and therefore affect comparability over time. Labor force survey provide information too Eurostat about the educational attainment level and this is these figures that are used for international comparison of the attainment level., Read more about comparability, Accessibility and clarity, Statistics are published once a year in "News from Statistics Denmark" . At the same time data are released in the Statbank and on the homepage: , Homepage, Information also appears in the annual publications Statistical 10-Year Review and the Statistical Yearbook., Read more about accessibility and clarity

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

Documentation of statistics

Contact: Labour and Income

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Thomas Bie , +45 41 19 87 10, tbi@dst.dk, Executive chief consultant, Executive chief consultant, Jesper Moltrup-Nielsen , +45 24 81 16 97, jmn@dst.dk, AKU and SILC, Chief Adviser, Chief Adviser, Daniel F. Gustafsson , +45 20 51 64 72, dfg@dst.dk, Head of Section, Head of Section, Ida Frederikke Mathiesen , +45 21 49 48 53, ifm@dst.dk, Head of Section, Head of Section, Martin Faris Sawaed Nielsen , +45 23 69 90 67, mfs@dst.dk, Head Clerk, Head Clerk, Annette Gewecke Nancke , +45 30 60 41 75, agp@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Dorthe Andersen , +45 29 33 75 67, tia@dst.dk, Senior Head Clerk, Senior Head Clerk, Wendy Takacs Jensen , +45 51 79 47 14, wta@dst.dk, System Analyst, System Analyst, Dines Skafte Böttcher , +45 21 14 76 92, dsb@dst.dk, DUAL, Population, Chief Adviser, Chief Adviser, Klaus Rasmussen , +45 29 67 80 47, klr@dst.dk, Head of Section, Head of Section, Nanna Maria Kerlauge , +45 61 63 06 57, nml@dst.dk, System Analyst, System Analyst, Nikolaj Larsen , +45 21 15 00 56, njl@dst.dk, System Analyst, System Analyst, Cathrine Pagh Nielsen , +45 24 67 07 20, cnn@dst.dk, Earnings and Absence, Senior Adviser, Senior Adviser, Eva Borg , +45 24 78 53 57, evb@dst.dk, Senior Adviser, Senior Adviser, Bao Chau Do , +45 30 62 50 74, bcd@dst.dk, Head of Section, Head of Section, Sam Blanch , +45 23 63 60 44, slb@dst.dk, Head of Section, Head of Section, Monica Wiese Christensen , +45 21 73 34 69, mwc@dst.dk, Head of Section, Head of Section, Summer Cook , +45 30 68 39 52, sco@dst.dk, Head of Section, Head of Section, Sofie Lionet Faxholm , +45 20 18 41 09, slf@dst.dk, Head of Section, Head of Section, Nete Nielsen , +45 40 10 48 87, ndn@dst.dk, Head of Section, Head of Section, Sysette Holde Rasmussen , +45 40 27 21 96, syr@dst.dk, Head Clerk, Head Clerk, Iman Khazendar , +45 40 23 13 63, ijk@dst.dk, Head Clerk, Head Clerk, Yulia Sotirova , +45 30 57 69 27, ivs@dst.dk, Senior Head Clerk, Senior Head Clerk, Lars Svenningsen , +45 24 81 25 98, lks@dst.dk, Employment and Labour Market Accounts, Chief Adviser, Chief Adviser, Pernille Stender , +45 24 92 12 33, psd@dst.dk, Chief Adviser, Chief Adviser, Thomas Thorsen , +45 23 69 94 27, tst@dst.dk, Senior Adviser, Senior Adviser, Mads Housø Hansen , +45 24 43 40 61, mhu@dst.dk, Head of Section, Head of Section, Christian Ravn , +45 21 15 99 36, crs@dst.dk, Income and Wealth, Chief Adviser, Chief Adviser, Jarl Christian Quitzau , +45 23 42 35 03, jaq@dst.dk, Senior Adviser, Senior Adviser, Uwe Pedersen , +45 23 72 65 69, uwp@dst.dk, Head of Section, Head of Section, Morten Steenbjerg Kristensen , +45 20 40 38 73, mrt@dst.dk, Labour Market Periphery, Chief Adviser, Chief Adviser, Mikkel Zimmermann , +45 51 44 98 37, mzi@dst.dk, Head of Section, Head of Section, Anna Skovbæk Mortensen , +45 21 77 67 54, aom@dst.dk, Senior Head Clerk, Senior Head Clerk, Carsten Bo Nielsen , +45 23 74 60 17, can@dst.dk, System Analyst, System Analyst, Jesper Truelsen , +45 30 34 78 10, jet@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=04&tlfbogsort=sektion