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Documentation of statistics: Budgets and accounts of municipalities and regions

Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 40 22 58 23 , JFJ@dst.dk , Get documentation of statistics as pdf, Budgets and accounts of municipalities and regions 2025 , Previous versions, Budgets and accounts of municipalities and regions 2024, Budgets and accounts of municipalities and regions 2023, Budgets and accounts of municipalities and regions 2022, Budgets and accounts of municipalities and regions 2021, Budgets and accounts of municipalities and regions 2020, Budgets and accounts of municipalities and regions 2019, Budgets and accounts of municipalities and regions 2018, Budgets and accounts of municipalities and regions 2017, The budgets and the accounts of municipalities and regions inform for the economic situation in municipalities and regions. The statistics show how the funds of the municipalities and regions have been used, how they are budgeted and a status of the economic situation. The tables goes back to 2007, where the latest municipal reform came into force., Statistical presentation, The statistics include the budgets and final annual accounts as well as the balances of the municipalities and regions., Read more about statistical presentation, Statistical processing, Data is delivered annually from the financial management systems of the municipalities and regions. Extensive validation is performed on a micro level through error detection rules based on the official accounting system. , Read more about statistical processing, Relevance, In general, the statistics on budgets and the accounts for municipalities and region are used for three purposes. Firstly, as input data to the national accounts for government expenditure and revenue and other statistics in Statistics Denmark. Secondly, as planning tool by the Government, i.e. in the yearly economic agreements between the central Government and the municipalities and regions. Thirdly, as source in social science and the public and political debate., Read more about relevance, Accuracy and reliability, The statistics have great precision as the municipalities and regions report all the information and no calculations of values are made. In addition, revisions of the published figures are only made in certain circumstances. The figures should be interpreted with caution due to varying accounting methods across municipalities as well as over time., Read more about accuracy and reliability, Timeliness and punctuality, The budgets are published in mid-January, the final accounts and the balances are published in the latter half of April. The statistic is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, The comparability are affected by the varying accounting methods across municipalities/regions as well as over time. Also, adjustments are made continuously to the accounting systems. Furthermore there is a break en data in 2007., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics are published under , budgets and accounts for municipalities, and , budgets and accounts for regions, . See also the subject pages for , budgets and accounts for municipalities, and , budgets and accounts for regions, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/budgets-and-accounts-of-municipalities-and-regions

Documentation of statistics

Documentation of statistics: Climate footprint (experimental statistics)

Contact info, National Accounts, Climate and Environment , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Climate footprint (experimental statistics) 2021 , Previous versions, The purpose of the statistics is to measure the global emission of greenhouse gases from the supply chains for Danish final use (Danish consumption, investment and export). It illustrates correlations between Danish final use and emissions of greenhouse gases from Danish and international production. Global emission of greenhouse gases from Danish consumption and investment constitutes Denmark's Climate Footprint. The statistic is experimental and have been prepared since 2021 in collaboration with the Danish Energy Agency, which uses it for the annual publication "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Statistical presentation, The statistics show the amount of greenhouse gas that has been emitted in the supply chains for Danish final use annually from 1990 onwards. The emissions are distributed by type of final use, emitting industries and countries, as well as by supplying industries., Read more about statistical presentation, Statistical processing, The climate footprint is calculated with a multi-regional environmental economic input-output (MRIO) model that links data from Statistics Denmark on Danish production and greenhouse gas emissions with data from the international database EXIOBASE on international production and greenhouse gas emissions., Read more about statistical processing, Relevance, The climate footprint is relevant for everyone who is interested in relations between Danish consumption and investment and global emissions of greenhouse gases. The climate footprint is prepared in collaboration with the Danish Energy Agency's Center for System Analysis, which uses it in their annual report "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is not as high as other statistics from Statistics Denmark, which are based on directly observable data. The majority of the figures in this statistic are the result of calculations with Danish and international input-output models. The international input-output model in particular is uncertain because it is a compilation of figures from many countries of uneven quality. However, it is assessed that the precision is as good as it can be at the present time, when available sources and methods are taken into account., Read more about accuracy and reliability, Timeliness and punctuality, The climate footprint is an experimental statistic and does not yet have a fixed publication time. When a publication date is determined, it is published in Statistics Denmark's publication calendar., Read more about timeliness and punctuality, Comparability, The statistics are compiled for 1990 and onwards and are comparable over time. The statistics have been produced in collaboration with the Danish Energy Agency and are used for the Danish Energy Agency's report "Danmarks Globale Klimapåvirkning – Global Afrapportering". there will therefore be full agreement between results published by the Danish Energy Agency and Statistics Denmark., As there is not yet full international agreement on methods and data bases for calculating climate footprints, there will not necessarily be full comparability with the calculations of other institutions or other countries., Read more about comparability, Accessibility and clarity, In the Statbank, the climate footprint is published under the subject , Energy and emissions, in the tables AFTRYK1 and AFTRYK2., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/climate-footprint--experimental-statistics-

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2021

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2021 , 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, 2021 , Valid to: , January 31, 2022 , Office: , Population and Education , Contact: , NKL , 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, v1:2025, February 1, 2025, Still valid, 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?id=08e4b489-5d3c-4552-9a12-d2dd6dc0744d

Documentation of statistics: The Public Sector Finances

Contact info, Government Finances, Economic Statistics , Helene Gjermansen , +45 24 76 70 09 , HGJ@dst.dk , Get documentation of statistics as pdf, The Public Sector Finances 2024 , Previous versions, The Public Sector Finances 2023, The Public Sector Finances 2022, The Public Sector Finances 2021, The Public Sector Finances 2020, The Public Sector Finances 2019, The Public Sector Finances 2018, The Public Sector Finances 2017, The Public Sector Finances 2016, The Public Sector Finances 2015, The Public Sector Finances 2014, The purpose of the statistic is to show the activities that are owned or controlled by the general government and to illustrate the public area as an economic unit called , the public sector, . Statistics Denmark began publishing the statistic in March 1998, where it contained figures covering the period 1993-1996., Statistical presentation, The public sector's finances is an annual specification of the institutional distribution of activities carried out by the public corporations, giving total figures as well as figures divided into industrial groups. Furthermore, the statistics contain figures for the public sector and all public corporations and quasi-corporations., Read more about statistical presentation, Statistical processing, The data for the statistic is based on accounting information from central government, regions, and municipalities, along with approximately 800 public companies. The accounting information is gathered directly from central government, regions, and municipalities, while data from the public companies are collected by the use of surveys. The accounting information is checked for errors, along others by comparing to the previous year's accounts, and a macro-validation is carried out on the most detailed industrial classification. The gathered data covers the full population, and as such no further calculations are necessary., Read more about statistical processing, Relevance, The primary users are the ministries of economic affairs, interest organisations, politicians, educational institutions, and the interested public. Some users needs information on the total sector and the subsectors contribution to the public sector as a hole. Others needs detailed information on the public corporations., Read more about relevance, Accuracy and reliability, Full coverage of all industries is obtained by conducting a yearly check of the population in relation to a variety of sources. Accounting information is obtained from central and local government accounts and furthermore from questionnaires. Some accounting information is adjusted to the terminology used in the national accounts system and therefore deviates from normal accounting conventions. Furthermore, public corporations may use different methods of accounting. Accounting data entered wrongly are also a source of error, which is minimized by comparison with information from the previous year. If necessary, the company in question is contacted to validate the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published in December the year after the latest accounting year and without delays., Read more about timeliness and punctuality, Comparability, These statistics are comparable from 1993 and onwards. The figures are produced according to international guidelines and are therefore comparable with similar estimates from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in Danish press release and in the StatBank under , Public corporations and public sector, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-public-sector-finances

Documentation of statistics

Documentation of statistics: Health Insurance Statistics

Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Health Insurance Statistics 2024 , Previous versions, Health Insurance Statistics 2023, Health Insurance Statistics 2022, Health Insurance Statistics 2021, Health Insurance Statistics 2020, Health Insurance Statistics 2019, Health Insurance Statistics 2018, Health Insurance Statistics 2017, Health Insurance Statistics 2016, Health Insurance Statistics 2015, Health Insurance Statistics 2014, Health Insurance Statistics 2013, These statistics focus on the consumption of health care services within the primary public health care sector . The statistics are based on annual extracts from LUNA, which is the IT system used by the regions to settle accounts for health services with the individual providers (e.g., physicians, dentists, etc.). The statistics have been compiled since 1986 but are comparable from 2006 onwards., Statistical presentation, The statistics cover visits to general practitioners and healthcare providers under the national health insurance. The statistics include the number of contacts, the associated fees, and the number of recipients., Read more about statistical presentation, Statistical processing, Data is received once a year from the Regions. It is assessed which services can be classified as contracts. Individuals with invalid CPR numbers are not included in the statistical tables. Corrections that cannot be associated with a registration in the respective year are deleted. Data is linked with background data from Statistics Denmark., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, including public institutions, researchers, private individuals, and journalists. These users utilize the statistics for various purposes, including public planning, research, and public debate., Read more about relevance, Accuracy and reliability, The data come from administrative registers with full coverage. Each year, Statistics Denmark manually categorizes the services in the public health insurance system as contacts. This affects the calculation of the number of contacts and the number of individuals with contacts., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 5-6 months after the end of the year. The punctuality is high., Read more about timeliness and punctuality, Comparability, Sundhedsdatastyrelsen produces statistics on general practice, specialist practice, and other practices. Delimitations and definitions of contacts (or the use of services instead of contacts) can result in statistics that may not appear directly comparable. Typically, any - often minor - differences could be explained by methodology and delimitation. The overall picture is clear, Read more about comparability, Accessibility and clarity, Nyt fra Danmarks Statistik and , Statbank Denmark, Annual publications (selected sections): Statistical Ten-Year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-insurance-statistics

Documentation of statistics

Documentation of statistics: Cultural Business Structure and Labour Market

Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Cultural Business Structure and Labour Market 2023 , Previous versions, Cultural Business Structure and Labour Market 2022, Cultural Business Structure and Labour Market 2021, Cultural Business Structure and Labour Market 2020, Cultural Business Structure and Labour Market 2019, Cultural Business Structure and Labour Market 2018, Cultural Business Structure and Labour Market 2017, Cultural Business Structure and Labour Market 2016, Cultural Business Structure and Labour Market 2015, Cultural Business Structure and Labour Market 2014, Cultural Business Structure and Labour Market 2013, Cultural Business Structure and Labour Market 2012, The purpose of the statistics is to analyze workplaces as well as persons employed within the cultural sector. The statistics is compiled from 2008 and is published annually., Statistical presentation, The statistics on Cultural Business Structure and Labour Market are compiled annually and provide data on workplaces, entrepreneurs, jobs and persons employed in the cultural sector. Detailed results are disseminated through a number of tables in StatBank Denmark and main results and links to tables can be accessed at the subject page for economic conditions for culture as well as in the annual publication Culture (from 2015 and onwards)., Read more about statistical presentation, Statistical processing, The statistics is based on edited register data from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. The number of jobs are calculated for workplaces (establishments) in relevant activity sectors and are linked to personal data on e.g. age and educational status for employees., Read more about statistical processing, Relevance, The statistics is accessible for everybody and can be used for summaries of the entrepreneurship, educational status and employment within the cultural sector. The statistics may be used for analyses, planning and debates on the topic of cultural employment, etc., Read more about relevance, Accuracy and reliability, The statistics is based on validated data from Statistics Denmark's central registers that form the basis of official statistics, refer to the documentations of statistics for Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. No actual measurement of the quality and no calculations on measures of accuracy has been performed., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 20 months after the end of the reference period awaiting the compilation of source register data. It is a fairly new statistics that has been published punctually., Read more about timeliness and punctuality, Comparability, The current time series starts in 2008 and is without any data breaks. The statistics can be compared to selected results from the Establishment-related Business Statistics, the Register-based Labour Force Statistics, Educational Attainment, and Business Demography. Eurostat and Unesco regularly publish reports on the same subject matters as this statistics., Read more about comparability, Accessibility and clarity, These statistics are published annually in the StatBank under the subject , Education and employment in the cultural field, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-business-structure-and-labour-market

Documentation of statistics

Documentation of statistics: Foreign Students

Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , MPS@dst.dk , Get documentation of statistics as pdf, Foreign Students 2024 , Previous versions, Foreign Students 2023, Foreign Students 2022, Foreign Students 2021, Foreign Students 2020, Foreign Students 2019, Foreign Students 2018, Foreign Students 2017, Foreign Students 2016, Foreign Students 2015, Foreign Students 2014, Foreign Students 2013, The purpose of this statistic is to give a description of Danish students' study visits abroad and foreign students' study visits in Denmark within the field of higher ordinary education., Statistical presentation, The statistics related to exchange students give an annual counting of the number of student exchange programs at ISCED 2011-level 5-6 and 7 educational programs. The statistics is divided by the length of the exchange period, education, geographical area and the exchange students' gender., Read more about statistical presentation, Statistical processing, Data are sent in electronically format to Statistics Denmark. Various control procedures are applied to assure correctness in the data. If necessary the educational institutions are contacted to clarify. In all cases the data are total counts., Read more about statistical processing, Relevance, The statistics of exchange students is used e.g. by ministries, researchers, politicians, educational institutions, offices of the educational institutions and other interested parties. The purposes are related to planning (public and private) research, education, measuring of internationalization and debate., Read more about relevance, Accuracy and reliability, The Statistic is, in general, very precise. There are a limited number of uncertainties but their influence on the final result is minimal. The statistic is published with all known information available and no revisions are usually needed., Read more about accuracy and reliability, Timeliness and punctuality, Data for the statistic about exchange students are reported from the educational establishments during January and February. The results are published during spring that year. In general the statistic is published according to the announced time., Read more about timeliness and punctuality, Comparability, The Statistical unit of the Universities also publish statistics on exchange students. This statistics counts students being registered at the institutions and not finished stays as Statistics Denmark. Danish students will, in general, have the same registered education in Demark and on their exchange trip. However there can be differences which is usually because of one of two cases: 2. Some students are on exchange on a bachelor or masters education, while registered on a PH.D. in Denmark, this is possible because some students begin a PH.D. before ending their bachelor/masters degree., Read more about comparability, Accessibility and clarity, In the StatBank Denmark the statistics is published under the subject , Exchange students, . For more information please check the statistic's , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/foreign-students

Documentation of statistics

Documentation of statistics: Primary and lower secondary education

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , rie@dst.dk , Get documentation of statistics as pdf, Primary and lower secondary education 2024 , Previous versions, Primary and lower secondary education 2023, Primary and lower secondary education 2022, Primary and lower secondary education 2021, Primary and lower secondary education 2019, Primary and lower secondary education 2018, The purpose of the statistics on the Danish primary and lower secondary education is to present the number of pupils and the scale of pupils per class in the Danish school system. The statistics describe the intake and graduation from the basic school system, which in Denmark are the primary and lower secondary schools. In the present form, the statistics are comparable from 2007, from 2009 for number of pupils per class and from 2012 for special needs education. , Statistical presentation, The primary and lower secondary education statistics provide annual data on enrollment and completion from grade 0 to 10/11, including special needs participation and average class size. The data are broken down by grade, school type, age, gender, heritage, and geography. Based on the Student Register, a longitudinal database, the statistics enable tracking of each student’s educational path throughout their basic schooling., Read more about statistical presentation, Statistical processing, The Danish primary and lower secondary education dataset is based on annual reports from school administrative systems collected for the Student Register. Most data is reported system-to-system, while some institutions use web questionnaires. After collection, Statistics Denmark performs thorough data validation. Special needs education data is collected annually; public schools report via administrative systems, and private schools report through the Ministry of Education., Read more about statistical processing, Relevance, The statistics serve public administrators, researchers, analysts, journalists, and citizens for forecasting, analysis, and planning. The underlying data supports most personal statistics at Statistics Denmark and forms the basis for education tables in the Statbank. The statistics document student intake, departure, and transitions between classes or programs within the Danish education system, underpinning many education-related tables in the Statistics Denmark databank., Read more about relevance, Accuracy and reliability, The reliability of the educational information is considered to be high. The information in the statistics is obtained from the institutions' administrative registers and goes through comprehensive error check procedures in connection with the annual data collections. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 3 to 4 months after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date. , Read more about timeliness and punctuality, Comparability, Statistics Denmark has collected data on pupils in Danish primary and lower secondary schools since the 19th century. Comparable data in its current form are available from 2007, when grades 0 to 10/11 began to be compiled. Pupils per class have been recorded since 2009, and special needs education data since 2011. The statistics follow common European guidelines and are comparable with OECD data from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Primary and lower secondary education, and in a Danish press release. For further information go to the , subject page, for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/primary-and-lower-secondary-education

Documentation of statistics

Documentation of statistics: Teacher-student register for primary school

Contact info, Population and Education , Eva Lotti Hansen , +45 21 59 99 06 , EBR@dst.dk , Get documentation of statistics as pdf, Teacher-student register for primary school 2023 , Previous versions, Teacher-student register for primary school 2022, Teacher-student register for primary school 2021, The Matched Educational Data for primary and lower secondary education level (MED-Elementary) serves the purpose of enriching the elementary school statistics with information about the individual lessons. The data registry has been developed for research purposes and provides the possibility to study who receives teaching together and who executes the teaching. So far, the register covers the school year of 2020/2021, 2021/2022, and 2022/2023. , Statistical presentation, The database, MED-Elementary, contains information about students, groups, teachers and their activities in public elementary schools and other schools at the level of primary to lower secondary education in Denmark. The register covers 0th to 10th grade in the Danish school system. , In its current form, the registry covers from the school year of 2020/21 and are updated yearly with the addition of another year. , Read more about statistical presentation, Statistical processing, The data for this registry is collected weekly from the schools' digital login system, Unilogin, and the communication platform, AULA, as automatic system-to-system reporting. The weekly updates are compiled into chronological tracks, which undergo a broad validation process followed by and enrichment of the data, also on a weekly basis. Once a year data from the two sources are integrated and combined with data from the Student Registry. , Read more about statistical processing, Relevance, MED-Elementary has been developed for research purposes and creates opportunities for research in teaching at the level of the individual lessons in primary and lower secondary schools. This applies, for example, to the importance of the composition and length of the school day. In the development of MED-Elementary, external stakeholders and future users have been continuously involved., Read more about relevance, Accuracy and reliability, The information in the database comes from the institutions' administrative systems and good agreement has been found with existing registers based on other data sources., By translating the activity designations into a mandatory subject, the number of hours at each individual school is compared to the minimum requirement or the indicative number of hours according to the executive order on elementary schools. It is estimated that in 84 pct. of primary schools, students have on average between 85 pct. and 115 pct. of the recommended number of hours/minimum hours in the executive order in the school year 2021-2022., Read more about accuracy and reliability, Timeliness and punctuality, It is expected that the register will be published in April for the previous school year without significant delays., Read more about timeliness and punctuality, Comparability, The MED-Elementary is currently available for the school year 20/21, 21/22 and 22/23 ., Read more about comparability, Accessibility and clarity, Researchers and other analysts from authorized research institutions can gain access to the Micro-data through Statistics Denmark's Research Scheme, and the ministries will be able to gain access through the ministerial scheme., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/teacher-student-register-for-primary-school

Documentation of statistics

Documentation of statistics: From Primary and Lower Secondary and General Upper Secondary School to Further Education

Contact info, Population and Education , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2023 , Previous versions, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2021, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2020, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2017, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2014, The analysis is a cohort analysis of students with lower or upper secondary general school leaving certificate and their further education in the Danish school system. (Adult education is not included). The present statistic which is based on CPR numbers, was first collected in 1973. Before 1973 the Ministry of Education collected the information at class level. The first cohort analysis was published in March 1978 with information regarding pupils who graduated in 1973/1974., Statistical presentation, The cohort analysis is an analysis of the education of a cohort of students with lower or upper secondary general school leaving certificates after graduation. A cohort is defined as pupils leaving lower secondary or traditional general secondary education. It is established how many students are in education, have completed an education, have interrupted an education or have no records about further education, Read more about statistical presentation, Statistical processing, The information in the Integrated Register of Students are based on annual reports from the Danish educational institutions. The majority of data is collected by system-to-system reporting. However, there are a few educational institutions which report through web questionnaires. In cooperation with system suppliers. Statistics Denmark has established requirements for reporting formats, validation and error searches. In addition, there is an extensive validation of data in Statistics Denmark., Read more about statistical processing, Relevance, The register gives a foundation for analyzing the transitions from lower secondary and upper secondary general education to further education in the ordinary education system., Read more about relevance, Accuracy and reliability, The reliability of the educational information is judged to be good. 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 half a year after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date. , Read more about timeliness and punctuality, Comparability, Statistics Denmark have published Further education statistics since 2001. The comparability over time is good., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Educational transitions , . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/from-primary-and-lower-secondary-and-general-upper-secondary-school-to-further-education

Documentation of statistics