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Classification on education (DISCED-15), current educations, v1:2025

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2025 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2025 , Valid to: , January 31, 2026 , 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 on education (DISCED-15), current educations, v1:2026, February 1, 2026, Still valid, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, January 31, 2026, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=6582e60e-f154-445c-8691-018046c8f17c

Contact: Population and Education

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Christian Vittrup , +45 24 46 89 90, cvi@dst.dk, Childcare, Chief Adviser, Chief Adviser, Jens Bjerre , +45 29 16 99 21, jbe@dst.dk, Senior Adviser, Senior Adviser, Lisbeth Nørgaard Møller , +45 21 45 23 83, lnm@dst.dk, Senior Head Clerk, Senior Head Clerk, Jamila Buzquurz , +45 21 13 40 31, jbu@dst.dk, Education, Chief Adviser, Chief Adviser, Susanne Mainz Sørensen , +45 20 34 51 79, sms@dst.dk, Senior Adviser, Senior Adviser, Eva Lotti Hansen , +45 21 59 99 06, ebr@dst.dk, Head of Section, Head of Section, Lau Dam Mortensen , +45 40 38 65 21, ldm@dst.dk, Head of Section, Head of Section, Martin Herskind , +45 21 34 03 31, hrs@dst.dk, Head of Section, Head of Section, Christian Johansen , +45 21 16 49 48, cvj@dst.dk, Head of Section, Head of Section, Asger Bromose Langgaard , +45 21 59 96 46, alg@dst.dk, Head of Section, Head of Section, Mattias Nørgaard Matsushita , +45 20 21 87 90, mmt@dst.dk, Head of Section, Head of Section, Martin Nørskov , +45 40 47 39 37, mno@dst.dk, Head of Section, Head of Section, Mikkel Jonasson Pedersen , +45 23 60 42 07, mps@dst.dk, Head of Section, Head of Section, Lene Riberholdt , +45 23 60 62 18, lri@dst.dk, Bachelor, Bachelor, Arancha F. Romero , +45 93 90 20 20, aro@dst.dk, Student, Student, Agge Nørreslet , +45 23 65 41 60, agg@dst.dk, Population, Chief Adviser, Chief Adviser, Lisbeth Harbo , +45 20 58 64 08, lhb@dst.dk, Chief Adviser, Chief Adviser, Annika Klintefelt , +45 23 31 14 33, akf@dst.dk, Chief Adviser, Chief Adviser, Jørn Korsbø Petersen , +45 20 11 68 64, jkp@dst.dk, Chief Adviser, Chief Adviser, Marcin Jan Stonawski , +45 81 44 25 38, msw@dst.dk, Senior Adviser, Senior Adviser, Lars Peter Smed Christensen , +45 20 42 35 51, lpc@dst.dk, Senior Adviser, Senior Adviser, Annemette Lindhardt Olsen , +45 20 59 02 47, alo@dst.dk, Senior Head Clerk, Senior Head Clerk, Dorthe Larsen , +45 23 49 83 26, dla@dst.dk, Senior Head Clerk, Senior Head Clerk, Connie Østberg , +45 23 60 19 14, cbn@dst.dk, Sustainable Development Goals (SDGs), Chief Adviser, Chief Adviser, Henrik Bang , +45 24 27 45 15, hbg@dst.dk, Chief Adviser, Chief Adviser, Agnes Tassy , +45 24 81 48 78, ata@dst.dk, Student, Student, Lea Birch Overbye Knudsen , +45 21 15 58 13, bok@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=01&tlfbogsort=sektion

Documentation of statistics: Reported criminal offences

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

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

Documentation of statistics

Merging of projects

It is possible to merge projects. This may be relevant if you wish to broaden existing projects. , With the new pricing model being introduced in 2026 and 2027 (, read more here, ), there may also be a financial advantage to merging projects, as payment thereafter will be calculated based on the number of users and the number of data packages in each project., When should you merge projects?, Denmark’s Data Portal,  recommends that you already begin considering which projects may beneficially be merged, but wait with the actual merging until the new pricing model comes into effect in January 2026., How to merge projects, Contact , Denmark’s Data Portal, Contact the , Denmark’s Data Portal, project owner responsible for one of the projects you wish to merge and specify which projects you want to merge., Denmark’s Data Portal, will assess whether the projects should be combined into a new project proposal or under an existing project with a broader project description., New project proposal is created or previous proposal is revised, The project description must include purpose, description, and importance to society covering all projects to be merged. Keep the purpose broad, so that it is possible to cover several relevant aspects of a topic and expand the project along the way with new data., Select relevant data in the DDP App and add external data sources as well as any discontinued data from our databank of basic data with accompanying documentation. Paths to external data must be sent by email to the , Denmark’s Data Portal,  project owner responsible for the project., Make sure to obtain and submit all necessary approvals from external data providers. This is a prerequisite before we can transfer data., If one of the projects includes the Danish pharmaceutical products database (LMDB) or external data from the Danish Health Data Authority, you must apply for renewed approval to transfer data to the new project., o Please note that LMDB and , The Danish National Prescription Registry,  (LSR) cannot be ordered for the same project., Submit project proposal, Once the project proposal has been submitted, the , Denmark’s Data Portal,  project owner will send a price contract based on a framework agreement. The framework agreement covers the processing of the project proposal, re-delivery of data from our databank of basic data, processing of external data and any discontinued registers, as well as the transfer of files and programs from the workdata folder., Approval, delivery, and completion, You agree on a deletion date for the old projects with the , Denmark’s Data Portal,  project owner., Denmark’s Data Portal, and the signatory at your institution sign the new project., If files from the workdata folder need to be transferred, you must send an email to the , Denmark’s Data Portal,  project owner with the path to both the old folders/files and the new project. In the email, you must confirm that the files do not contain microdata (e.g., key variables or other identifiable information)., Denmark’s Data Portal, delivers the data from our bank of basic data, external data and transfers the content from the workdata folders to the new project., Important points of attention, In rare cases, users may have hardcoded de-identified values. These cannot be retrieved after merging, as a new key will be applied., The same applies if de-identified values have been used to remove outliers., Sorting will change, as data is sorted by de-identified values. If row numbers have been used in programs (e.g., for random selection), these will no longer work.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/sammenlaegning-af-projekter

Classification of education (DISCED-15), completed educations, v1:2026

Name: , DISCED15_AUDD_HOVED_V1_2026 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2026 , 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 (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd

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

Contact info, Personal Finances and Welfare , Get documentation of statistics as pdf, Indices of Average Earnings for the Private Sector 2019 , Previous versions, Indices of Average Earnings for the Private Sector 2018, Indices of Average Earnings for the Private Sector 2017, Indices of Average Earnings for the Private Sector 2016, Indices of Average Earnings for the Private Sector 2015, Indices of Average Earnings for the Private Sector 2014, The purpose of the index of average earnings is to indicate trends in earnings for different industries in the private sector exclusive of enterprises categorised as public administration or -services (state, regional or municipal). The index of average earnings was first published for the first quarter of 1994 under the name , the index of average earnings in the private sector, . Since then the index has been published based on the Danish Industrial Classification of 1996 (DB96), Danish Industrial Classification of 2003 (DB03) and since the third quarter of 2008 based on the Danish Industrial Classification of 2007 (DB07). Moreover, the index of average earnings replaced the index of hourly earnings for workers in manufacturing industry and the index of monthly earnings for salaried employees in manufacturing industry, which were discontinued at the end of 1997., Statistical presentation, The index of average earnings comprises all employees, salaried employees (white collar employee or officials) and wage-earners (blue collar workers) as well as apprentices and young people under 18 years employed in a business enterprise with 10 or more persons in the private sector. The entire private sector is covered by the indices, including e.g. employees in private schools and private hospitals. Still, the index does not include enterprises belonging to either the agriculture or fisheries industries. In accordance with the nomenclature DB07 (Danish Industrial Classification 2007), the the index is broken down by industry and since the third quarter of 2008 published at the most detailed level according to the 36-grouping in DB07. For a period between the first quarter of 2005 and the second quarter of 2008, the indices were only published at the 10-grouping level., Read more about statistical presentation, Statistical processing, Data are collected from the private enterprises and organisations that are included in the sample and cover the second month of the quarter in question. To start with, a rough search for errors is performed on the data. Then, the change in the average earnings per hour from the previous quarter is calculated for each enterprise. Only enterprises where data exists for both quarters are included in the computations. The average hourly wage per observations in the sample is then weighted to take account of all enterprises in a specific branch of economic activity in the population. A total figure for the average hourly wage and the rate of increase from the last quarter is then calculated for each branch of economic activity. After this the index point and the annual rate of increase is calculated for each branch. Finally the total index point and annual rate of increase is found as a total for all branches., Read more about statistical processing, Relevance, Private corporations and organisations in Denmark and abroad, and ministries and other public institutions are the most frequent users of the index. The index is especially used in relation to regulation of contracts. In addition to that, the index plays a vital part in the wage negotiations of employees in the public sector., Read more about relevance, Accuracy and reliability, The accuracy and reliability is mainly affected by two factors. First of all, the index is based on a sample, which in itself cause some uncertainty. Second of all, there is some uncertainty connected to the completeness in the collected data, which is often caused by errors in the way the system is generated for transmission of data. An example of this is a payroll system where the different wage compositions are not correctly linked or reported, and thus give an inaccurate picture of the development of wages. The problem with errors like these is that they tend to be difficult to discover. For example would reporting of a low and wrong value for irregular payments result in too high calculation of wage developments, as the irregular payments could not be separated from the wage component., Read more about accuracy and reliability, Timeliness and punctuality, The index of average earnings is published approximately 60 days after the end of the quarter in question. The punctuality of the publication is considered high and there has been no delays of any kind during the last years., Read more about timeliness and punctuality, Comparability, The index of average earnings for Corporations and Organizations, replace , the index of average earnings of the private sector, which was last published for the fourth quarter of 2013. The comparability of the two indices is considered to be high. The difference has to do with the new applied delimitations of the sectors, where some of the public owned enterprises, such as Danish Railways (DSB) and some of the municipal owned resource centers, now according to the new delimitations of the sectors belong to “the index of average earnings of Corporations and Organizations”. The new sector delimitations were applied in the indices going back to first quarter of 2013, where it caused a small data breach., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Implicit index of average earnings, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/indices-of-average-earnings-for-the-private-sector--discontinued-

Documentation of statistics

Our projects

Statistics Denmark implements projects in other countries with the purpose to build up these countries’ capacity to produce reliable, comparable, timely and available statistics. Below is a list of some of those countries we currently support as well as some of those countries we supported in the past., Ghana, Morocco and Vietnam, January 2024/January 2025 – December 2026, Statistics Denmark and the Danish Ministry of Foreign Affairs on one side and the national statistical institutions in Ghana, Morocco and Vietnam on the other side have agreed to implement Phase II of the Strategic Sector Cooperation projects in the area of statistics. The aim of the second phase is that,  partner countries are strengthened and in a better position to consistently provide a reliable and credible evidence-base to sensitise decision-makers, implementers and key actors responsible for advancing a just green transition, as well as for the general public at large. , Vietnam entered Phase II in January 2025. The plan is to include a fourth country in Phase II - the selection process is ongoing., Read more about our project in Ghana, Read more about our project in Morocco, Read more about our project in Vietnam, Bosnia and Herzegovina , January 2024 - January 2026, Statistics Denmark is implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Slovenia and Italy. The project runs from January 2024 to January 2026. This project is the fifth in a row of collaboration projects financed by the EU, with Statistics Denmark as the lead agency., The overall objective of the project is to strengthening the national statistical system (NSS) inside Bosnia-Herzegovina facilitating its approximation to the Union , acquis, in the area of statistics. , Read more, Jordan 2022-2024, September 2022-September 2024, Statistics Denmark implements an EU-financed Twinning project in Hashemite Kingdom of Jordan. Our partner is Department of Statistics of the Hashemite Kingdom of Jordan (DoS)., The implementation is done in close cooperation with the Federal Statistical Office in Germany, The Italian National Institute of Statistics and Statistics Lithuania as Junior Partners, with support from Statistics Finland. The project will run from September 2022 to September 2024., The overall objective of the Twinning Proposal is to strengthen the capacity of Jordan’s Department of Statistics in terms of compilation, analysis and reporting of statistical data in line with International and European best practices., Read more, Pan-African Statistics - PAS II, February 2022-October 2025, The Pan-African Statistics project is part of an EU funded programme counting two projects (SOCSTAF and ECOBUSAF) headed by Statistics Denmark and Statistics France respectively. The Danish-headed project focuses on support to producing official statistics within the social domains of education, health, and labour and counts consortium partners from the NSIs of France, Finland, Spain and Poland. Denmark is consortium partner in the French-headed project focusing on support to a Statistical Business Register and national accounts., The aim of the Danish-led part of the project is to support African integration through strengthening the African Statistical System and ensure the use of quality statistical data in the decision-making process and policy monitoring, in order to facilitate monitoring of societal progress in Africa, with a special focus on the social domain., Read more about PAS II here, Ghana, Morocco and Vietnam, February 2019 – 2024, Statistics Denmark and the Danish Ministry of Foreign Affairs on one side and the national statistical institutions in Ghana, Morocco and Vietnam on the other side have agreed to start Strategic Sector Cooperation projects with the aim to strengthen the quality of official statistics in the three countries., Read more, Recently concluded projects, Georgia 2019-2021, April 2019 – July 2021, Statistics Denmark is implementing an EU-financed Twinning project with Geostat, the national statistical institution in Georgia. The project focuses on national accounts, extranal sector statistics, business statistics and social statistics. The project is implemented in cooperation with the national statistical institutions of the Czech Republic, Hungary, Finland and Lithuania., Read more, Bosnia and Herzegovina , January 2018 – April 2020, Statistics Denmark has implemented an EU-financed Twinning project with the three statistical institutions and the Central Bank of Bosnia and Herzegovina. The project focused on national accounts, statistical business register, structural business statistics, producer prices in service industries and construction, tourism statistical, balance of payment and international investment position statistics. The project was implemented in cooperation with the national statistical institutions of Croatia, Finland and France., Read more, Mozambique, 2002 - 2015, Statistics Denmark has together with Statistics Norway and Statistics Sweden in a consortium called Scanstat provided assistance to the national statistics institution in Mozambique, INE during three five-years planning periods (2003-2007, 2008-2012, 2013-2017). Scanstat had assigned two long term advisers until the end of 2015. The project covered a range of different statistical subjects as well as management support. The financial support was pooled in a basket where a range of donors were involved., Read more

https://www.dst.dk/en/consulting/projects

Documentation of statistics: Construction Survey (Discontinued)

Contact info, Short Term Statistics , Get documentation of statistics as pdf, Construction Survey 2021 , Previous versions, Construction Survey 2020, Construction Survey 2019, Construction Survey 2018, Construction Survey 2017, Construction Survey 2016, Construction Survey 2015, The purpose of the tendency survey for the construction industry is to provide a fast and up-to-date picture of conditions and expectations in the construction industry. As from the 1st quarter of 1970 Statistics Denmark has conducted a tendency survey for the construction industry. From 1970 to 1997 the tendency survey was conducted quarterly. To harmonize with the surveys conducted by other EU member states, the Danish tendency survey has been conducted monthly since January 1998. This change also implied that further questions were added to the survey., Statistical presentation, The purpose is to provide data on some essential short-term economic factors within the construction industry. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables , employment, , , sales, , , prices, , , new orders, and , limits to production, . Also is asked , how many months work is accounted for in the order book, ., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 800 enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, prices, orders, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , Accuracy, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaires or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Construction Sector survey has been conducted since 1970 by Statistics Denmark. , The survey is conducted in partnership with DG ECFIN and historical data is to be found at their , homepage, ., Read more about comparability, Accessibility and clarity, Results of the business tendency surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Serviceerhverv, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBB11-KBB66., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-survey--discontinued-

Documentation of statistics

Contact: Business Data Collection and Registers

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Hanne-Pernille Stax , +45 28 40 66 14, hps@dst.dk, Deputy Head of Division, Deputy Head of Division, Steen Eiberg-Jørgensen , +45 41 31 74 18, sej@dst.dk, Communication and processes, Chief Adviser, Chief Adviser, Peter Starch Brandt , +45 61 13 70 42, psb@dst.dk, Head of Section, Head of Section, Anders Wykow Hansen , +45 40 24 05 70, awh@dst.dk, Head of Section, Head of Section, Morten Bo Jakobsen , +45 24 66 42 68, mtj@dst.dk, Head of Section, Head of Section, Lisa Tofte Vardrup , +45 30 91 40 54, ltv@dst.dk, Data Collection and support – External Systems, Head Clerk, Head Clerk, Bjarne C. Hansen , +45 20 35 71 11, bjh@dst.dk, Head Clerk, Head Clerk, Ninnie Hansen , +45 51 85 76 18, nin@dst.dk, Head Clerk, Head Clerk, Alina Mortensen , +45 29 47 87 26, amo@dst.dk, Senior Head Clerk, Senior Head Clerk, Duygu Yildirim , +45 21 33 62 44, duy@dst.dk, Data Collection and support– Internal Systems, Head Clerk, Head Clerk, Carina Ivanhoe , +45 23 69 64 88, cih@dst.dk, Senior Clerk, Senior Clerk, Sille Mæhle , +45 23 35 56 46, shu@dst.dk, Senior Head Clerk, Senior Head Clerk, Merete Iisager , +45 21 42 83 47, mpr@dst.dk, Senior Head Clerk, Senior Head Clerk, Dorthe B. Johansen , +45 29 43 49 78, djh@dst.dk, Data reporting solutions and integration, Senior Adviser, Senior Adviser, Lise Stahl Jacobsen , +45 24 82 62 43, ljc@dst.dk, Senior Adviser, Senior Adviser, Maria Maj Tofte Møllgaard , +45 30 89 55 61, mtv@dst.dk, Senior Adviser, Senior Adviser, Sigge Stenild , +45 20 49 09 94, sst@dst.dk, Head of Section, Head of Section, Emil Bajlum , +45 21 44 72 19, eba@dst.dk, Head of Section, Head of Section, Pia Thomsen , +45 51 68 92 50, pit@dst.dk, System Analyst, System Analyst, Saliha Zayoum , +45 20 52 04 83, saz@dst.dk, Geodata basic registers, Chief Adviser, Chief Adviser, Henrik Michele Kock , +45 30 46 81 09, hkc@dst.dk, Senior Adviser, Senior Adviser, Linea Løfqvist , +45 24 76 43 54, llf@dst.dk, Groups and quality of the business statistics register, Senior Adviser, Senior Adviser, Birgit Nielsen , +45 20 51 69 67, bgn@dst.dk, Senior Adviser, Senior Adviser, Jens Christian Ring , +45 29 42 37 45, jcr@dst.dk, Head of Section, Head of Section, Michael Lützhøft Kongsted , +45 24 64 96 80, mkg@dst.dk, Head of Section, Head of Section, Sarah Valentina Møller , +45 20 13 06 26, svm@dst.dk, Internal systems - development, Senior Head Clerk, Senior Head Clerk, Frank de Wett Brodersen , +45 24 41 21 31, fdb@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Leander , +45 24 75 37 02, ksn@dst.dk, Internal systems - Mintenance and test, Head Clerk, Head Clerk, Bjørn Rundal Madsen , +45 29 40 37 88, bma@dst.dk, Head Clerk, Head Clerk, Karen Thuse Rasmussen , +45 24 75 04 71, kar@dst.dk, Senior Head Clerk, Senior Head Clerk, Claus Gottlob , +45 81 72 94 15, cgo@dst.dk, Senior Head Clerk, Senior Head Clerk, Bettina Schandorff Svanum , +45 51 42 76 28, bsn@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=23&tlfbogsort=sektion

55,000 enumerators complete Moroccan Census 2024

Monday 30 September marked the final day of the 2024 General Census of Population and Housing in Morocco. , 4 October 2024 11:00 , By , Klaus Munch Haagensen, Throughout September, an impressive team of 55,000 enumerators, supervisors, and controllers - easily recognizable by their burgundy-coloured caps - took on the challenging task of gathering crucial data from every household across the country., The census was the seventh of its kind., Data were collected from households across the nation, including urban, rural, and even nomadic populations. The census aimed to gather comprehensive information on the demographic, social, and economic conditions of Morocco’s population. This operation also extended to housing conditions, providing essential data for national development planning., Wide Scope and Participation, The census included all residents within the Kingdom, regardless of nationality or residence status. This included individuals in ordinary households, nomads, the homeless, as well as those residing in institutions like hospitals and prisons. Foreigners living in Morocco were also counted, except for members of the diplomatic corps., To conduct the operation, over 55,000 individuals were mobilized as enumerators, controllers, and supervisors. Participants underwent extensive online and face-to-face training, ensuring that they were well-equipped to handle the intricacies of data collection., The census covered a range of important demographic and socio-economic factors, from household composition and education to health coverage, employment, and access to essential services. A dual questionnaire system was used: a short version for the entire population and a more detailed one for 20% of households., Harnessing Technology for Precision, For the first time, the census utilized advanced technology, including the deployment of 55,000 electronic tablets. These devices, co-financed by the Ministry of National Education, were key to ensuring accurate and timely data collection. The tablets were securely managed, with encryption systems in place to safeguard the collected data., The census also utilized Geographic Information Systems (GIS) to map the entire country, ensuring that no areas were overlooked. This involved geo-referencing 37,109 census districts and over 4.1 million buildings in urban areas. The mapping work not only facilitated efficient data collection but also provided valuable insights into the spatial distribution of Morocco's population and economic activities., Supporting Development and Strategic Planning, The data gathered through the census will be instrumental in shaping Morocco's future policies. The information will help authorities assess the needs of the population and allocate resources in areas such as education, healthcare, employment, and housing. Additionally, it will contribute to the monitoring of sustainable development goals and the evaluation of public policies at both the national and local levels., The High Commission for Planning, which oversaw the census, emphasized that this massive statistical operation is not just about counting people but also about understanding Morocco’s social fabric. The data will provide critical insights into the country's demographic trends, migration patterns, literacy rates, and languages spoken, helping to guide long-term strategic planning., The budget for the Census 2024 is estimated to MAD 1.46 billion - the equivalent to around 135 million Euro., Transparency and Security, In line with international standards, the census maintained strict confidentiality of personal data. The High Commission for Planning assured the public that the information collected would be used solely for statistical purposes and not for legal or economic enforcement. The use of encrypted systems and secure data transmission methods further guaranteed the protection of respondents' privacy., Looking Forward, Now that data collection has concluded, the next phase involves processing and analyzing the information, with preliminary results expected in the coming months., The 2024 General Population and Housing Census will serve as a foundational tool for planning, allowing the Kingdom to address challenges and opportunities in the future., Statistical cooperation between Morocco and Denmark, For the past five years, Statistics Denmark has collaborated with Morocco's Haut-Commissariat au Plan (HCP), fostering a valuable exchange of best practices in statistics and digitalization. This partnership has involved joint efforts in IT, data management, and data quality improvement. During the census kick-off press conference in August, Moroccan Chief Statistician, His Excellency Minister Lahlimi, emphasized that the success of the highly digitalized RGPH 2024 would not have been possible without this vital cooperation., The collaboration between HCP and Statistics Denmark is financed by the Danish Ministry of Foreign Affairs under the Strategic Sector Cooperation Programme., You can read more about the project between HCP and Statistics Denmark here: , https://www.dst.dk/en/consulting/projects/morocco-2024-2026,  , Source: This news article is written by Klaus Munch Haagensen based on information from the HCP web site. 

https://www.dst.dk/en/consulting/news-from-international-consulting/2024/04-10-2024-55000-enumerators-complete-Moroccan-Census-2024