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

Contact info, Population and Education, Social Statistics , 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 2024 , Previous versions, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2023, 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

Documentation of statistics: Educational expenditure (UOE Finance)

Contact info, Government Finances, Economic Statistics , Marianne Ahle Møller , +45 24 66 00 28 , MNM@dst.dk , Get documentation of statistics as pdf, Educational expenditure (UOE Finance) 2024 , Previous versions, Educational expenditure (UOE Finance) 2023, Educational expenditure (UOE Finance) 2022, Educational expenditure (UOE Finance) 2020, Educational expenditure (UOE Finance) 2019, Educational expenditure (UOE Finance) 2018, The purpose of the statistics is to show how education expenditures are distributed across source of funding, expenditure type, type of institution along with the level of education. The statistic is based on international standards for education expenditures by the manual UOE data collection on formal education (UOE2020) , which is developed by UNESCO, OECD and Eurostat. The statistic is used as an input to OECD's publication Education at a Glance, which compares educational systems across countries. The statistics are developed from finance year 2016 and onwards. Data is consistent and comparable throughout the entire period. , Statistical presentation, The statistic is an annually two-dimensional publication of education expenditures, which shows the consumption of education seen from the perspective of both sources of funding and educational institutions. The statistic is calculated in DKK millions and divided across financing sources, expenditure type, type of institutions and education level. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from a number of both internal and external sources using data extracts and data deliveries. The collected data is validated on a macro level by controls of time series and different reasonableness checks. When data have been validated, the classification according to UOE2020 begins following by imposed distributions based on student data gather internally from Statistics Denmark. Lastly, data is integrated and complied into the final result. , Read more about statistical processing, Relevance, The statistic is relevant for professionals and analysts. The statistic is included in the annual publication by OECD Education at a Glance and will be launch in OECD's database OECD Data Explorer along with Eurostat. Professionals and analysts use the statistics to get a detailed overview of the expenditure to education across education levels and the funding of those in Denmark. , Read more about relevance, Accuracy and reliability, The overall accuracy of the statistics i considered to be high, as the primary data sources is contributed by the general government finances. However, there are uncertainty associated with the funding of households and international sources to education. Moreover, misclassifications can occur as it can be difficult to determined whether some areas are within the scope of UOE2020. The detail level from annual reports used for private tertiary educations are fraught with uncertainty because of the overall coding. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 11 months after the end of the reference period and are published without delays in relation to planned release times., Read more about timeliness and punctuality, Comparability, The statistic follow common European guidelines in the manual UOE data collection on formal education (UOE2020). The statistic is fully comparable across time and countries for the entire published time period. Previously the reporting burden to UNESCO, OECD and Eurostat was acquired from the National Agency of IT and Learning under the Ministry of Children and Education. , Read more about comparability, Accessibility and clarity, The statistic is published in New from Statistics Denmark and in the StatBank under , Education expenditures, . For more information see the , subject page, . In addition, the figures are included in OECD's annual publication , Education at a Glance, . Moreover, data is published by , OECD, and , Eurostat, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/educational-expenditure--uoe-finance-

Documentation of statistics

Documentation of statistics: National Elections in Denmark

Contact info, Population and Education , Annemette Lindhardt Olsen , +45 20 59 02 47 , ALO@dst.dk , Get documentation of statistics as pdf, National Elections in Denmark 2019 , Previous versions, National Elections in Denmark 2015, National Elections in Denmark 2014, Statistics Denmark have overtaken the responsibility for making statistics on national elections from the Ministry of Interior in October 2008. It is Statistics Denmark, who make and announce all the official results regarding elections., Statistical presentation, Statistics Denmark has a , election website, . The website is only available in Danish. All results are disseminated on the website. Detailed tables are also available in the Statbank under , Election, a few weeks after an election., Read more about statistical presentation, Statistical processing, Statistics Denmark does some controls. If anything looks strange the responsible municipality is contacted. No corrections are without the consent of the responsible municipality., Read more about statistical processing, Relevance, For many users it is of course extremely important that elections results are ready as fast as possible. For many users it is also important that data is available in formats that they are able to work with themselves., Read more about relevance, Accuracy and reliability, In Danish elections votes are counted manually. The municipalities use an IT-system developed by KMD afterwards. It is only a few very obvious mistakes that Statistics Denmark has any possibility of discovering. E.g. when a result in one area differs significantly from other results within the same constituency. Controls are in place in order to find situations like these., Read more about accuracy and reliability, Timeliness and punctuality, Fast dissemination of results are of course extremely important regarding elections. On election night results are published as they come in. Recounted results are also published as they come in. The first recounted results typically arrives before noon the day after an election and the last one arrives late in the evening., Read more about timeliness and punctuality, Comparability, The electoral structure was changed on 1 January 2007. Results broken down by electoral provinces (landsdele), multi-member constituencies (storkredse) and nomination districts (opstillingskredse) are therefore not comparable for elections before and after 1 January 2007., Read more about comparability, Accessibility and clarity, Election, (only in Danish), Statbank, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-elections-in-denmark

Documentation of statistics

Documentation of statistics: Financial assets and liabilities of local government

Contact info, Government Finances , Ralf Frimand , +45 29 39 42 73 , RAF@dst.dk , Get documentation of statistics as pdf, Financial assets and liabilities of local government 2020 , Previous versions, Financial assets and liabilities of local government 2019, Financial assets and liabilities of local government 2018, Financial assets and liabilities of local government 2017, Financial assets and liabilities of local government 2016, Financial assets and liabilities of local government 2015, Financial assets and liabilities of local government 2014, The purpose of the statistics is to analyze the financial assets and liabilities of the municipalities and regions, including especially the liquid assets and long term debt., Statistical presentation, The statistic monitors the financial assets and liabilities of municipalities and regions broken down by functions. A function is the equivalent to an account in the accounting plan for municipalities and regions. Only the financial assets and liabilities are published quarterly. The current expenditure etc. is only published annually. Quarterly data are all preliminary, as the accounts of the municipalities and regions are not completed until the final accounts in May the following year. This means that corrections and account changes in the previous quarters of the year may happen., Read more about statistical presentation, Statistical processing, Data is delivered quarterly from the municipalities and regions' own financial management systems. Error detection is done on a micro level through error detection rules based the official accounting system. The rules are updated annually according to the notices for the municipalities and regions sent out by the Ministry the Interior. The accounts for the individual municipalities and regions are also compared with the accounts of the year before. Both absolute and relative changes are considered and all 98 municipalities and 5 regions are checked., Read more about statistical processing, Relevance, There is a great interest in the published municipal and regional quarterly accounts among users with an interest in the municipalities and regions. The users are among others the municipalities and regions themselves, ministries, organizations, the media, politicians, private businesses, and private people. The accounts are also used in a number of other areas, including calculation of the EMU-debt, the EDP questionnaire for Eurostat, government planning, business cycle monitoring, and the financial accounts in the national accounts for government expenditure and revenue., Read more about relevance, Accuracy and reliability, There is a large variation between the quarterly accounts of the individual municipalities, partially because the placement of the individual account items can be interpreted in different ways. Adding to this is a number of unspecified account items (joint purpose). Some account items are estimated to be more 'safe' than others. This can be due to the fact that they reflect reimbursements from central government and therefore possibly the subject of ministerial interest. Some parts of the accounts are thus more 'safe' on a detailed level than others. Data for the quarterly accounts are preliminary, as the accounts of the municipalities and regions are not final until May the following year., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of the quarterly accounts of the municipalities and regions is approx. 35 days, from the last day of the quarter to the publication around 5 weeks later. The statistic has a high degree of punctuality, as it is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Statistics Denmark has since 1977 electronically received and stored information concerning the financial assets and liabilities of local authorities at the end of the fiscal year. There is a break in data i 2007 due to the municipality reform, which means that the periods 1984-2006 and 2007- are hard to compare. Furthermore the following factors can complicate comparability over time: changes in the budget- and accounting systems, the assignments in the municipalities can changes over time, and the different ways the municipalities interpret the budget- and accounting system., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Municipal accounts, and , Regional accounts, . For more information please see the subject page for , Municipalities and regions, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-assets-and-liabilities-of-local-government1

Documentation of statistics

Documentation of statistics: Elections to municipal and regional councils

Contact info, Population and Education, Social Statistics , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Elections to municipal and regional councils 2025 , Previous versions, Elections to municipality councils 2017, Elections to municipal and regional councils are held every four years, on the third Tuesday in November. Results from the elections are published in the StatBank three to four months after the election., Statistical presentation, The statistics of the election to the municipalities and regions publishes around two months after the date of the deadline for complaints (media January the following year). The statistics publish for each municipality. The candidate is broken down on parties, sex, and whether they are elected/nominated. The distribution on votes is broken down on party, postal votes, invalid votes. The statistics is based on extract from the IT election system of KOMBIT/Netcompany from which Statistics Denmark receive data from., Read more about statistical presentation, Statistical processing, Data for these statistics are provided as an extraction from the election software system (managed by KOMBIT/Netcompany) after the deadline has expired for complaints/objections. , Read more about statistical processing, Relevance, The statistics are relevant for municipalities, regions, ministries, other government organizations, political party organizations, researchers and citizens as a basis for planning and surveys. The data basis of the statistics (micro-data) is used by researchers to whom data is made available via Statistics Denmark's Research Services. , Read more about relevance, Accuracy and reliability, The statistics are based on data extractions from the election software system (managed by KOMBIT/Netcompany) to which the results of the municipal and regional elections are reported. As the data basis is used for calculating the composition of the local and regional councils, it is demanded that the statistics are recorded accurately and, as a result, are of very high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The election is held every four years on the third Tuesday of November. The results are usually published four months later, i.e. mid-March. , Read more about timeliness and punctuality, Comparability, In connection with the municipal reform of 2007, the number of municipalities in which to hold elections was reduced from 271 to 98. For the majority of municipalities, it meant that the geographical scope of the municipality increased considerably, and that a new local council had to be elected for the new increased geographical area which had previously been covered by two or more municipalities and a corresponding number of local councils. , Read more about comparability, Accessibility and clarity, In the Statbank, these statistics can be found under , Elections to municipality councils, . In a separate article prepared for the Ministry for Interior and Health, you can see the distribution of candidates and votes for each party and each municipality. The article is available on , page concerning municipal elections (only in Danish), . Selected information about the elected candidates is published in a , Danish press release, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/elections-to-municipal-and-regional-councils

Documentation of statistics

Documentation of statistics: The Exit Register

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, The Exit Register 2021 , Previous versions, The Exit Register 2020, The Exit Register 2016, The Exit Register 2015, The Exit Register 2014, Exit register 2013, The Exit Register 2012, The purpose of The Exit Register is to give a fundament for describing transitions from a education group in The Transition Register to further education or the labor marked., Statistical presentation, To illustrate the transition from the education groups in the transition register to continuing education or the labor market, there are information about ongoing education or labor market status 3, 9, 15 and 21 month after exit from a education group., Read more about statistical presentation, Statistical processing, There is no data collection or disrupted data processing in connection with the production of the completion register. The starting point is a group of student who complete a education group in the transition register. For each group, there are information on education and labor status 3, 9, 15 and 21 months after departure. The information is obtained from the labor market and The Student Register., Read more about statistical processing, Relevance, The Exit Register is relevant if you want to highlight transition from education to either continuing education or the labor market., Read more about relevance, Accuracy and reliability, The information comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections. The Labor Marked Account constitutes a census of the population and the statistical accuracy of the statistics is considered to be relatively high. There is, however, still some degree of uncertainty linked to the statistics. Fore further information se the statistics documentation for Labor Marked Account., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 3 years after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The Exit Register has been compiled since 2012 and there is no corresponding register in other countries., Read more about comparability, Accessibility and clarity, These statistics are published once a year in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , From education to labour market, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Public arrears

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Public arrears 2024 , Previous versions, Public arrears 2023, Public arrears 2022, Public arrears 2021, Public arrears 2020, Public arrears 2019, Public arrears 2018, Public arrears 2017, Public arrears 2016, The purpose of Arrears to general government is to analyze the yearly development in public debt that haven't been paid on time, among these tax in arrears. The statistics were published for the first time in 2017 covering the years 2013-2016 and the statistics are comparable over time. , Statistical presentation, The statistics provide a yearly overview of arrears to general government and it provides information about public arrears divided based on creditor and type. Both the total and the individual arrears are of public interest as they influence the government cash flow. , Read more about statistical presentation, Statistical processing, The compilation and the collection of data in done by the Danish Debt Collection Agency. Statistics Denmark makes no direct statistical treatment, except for validation of data. , Read more about statistical processing, Relevance, Arrears effect the public liquidity and, if they are not collected, also the surplus/deficit. The statistics are relevant for economic ministries, the central bank, NGOs and others compilers of economic analysis and forecast. The statistics are part of the general economic debate and often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics are based on Danish Debt Collection Agencys register, why errors in these are transferred to the statistics. However, these possible errors are assumed to be very small. the uncertainty is therefore assumed to be low. No revisions of data will be made., Read more about accuracy and reliability, Timeliness and punctuality, Data are published in the end of August in the year after the income year. The statistics only contain final figures. The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 2017 covering the years 2013-2016. The data in the statistics is fully comparable over time. There are no common EU guidelines or manuals for statistics on public arrears., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Arrears to general government, . For further information, go to the arrears to general government , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-arrears

Documentation of statistics

Documentation of statistics: Survey on Living Conditions (SILC)

Contact info, Labour Market, Social Statistics , Martin Faris Sawaed Nielsen , +45 23 69 90 67 , MFS@dst.dk , Get documentation of statistics as pdf, Survey on Living Conditions (SILC) 2025 , Previous versions, Survey on Living Conditions (SILC) 2024, Survey on Living Conditions (SILC) 2023, Survey on Living Conditions (SILC) 2022, Survey on Living Conditions 2021, Survey on Living Conditions 2020, Survey on Living Conditions 2019, Welfare Indicators 2018, Welfare Indicators 2017, Welfare Indicators 2016, Welfare Indicators 2015, Welfare Indicators 2014, Welfare Indicators 2013, In Denmark EU-SILC (Statistics on income and living conditions) is a combination of survey and register data. The purpose of EU-SILC is to provide a statistics on income, living conditions and risk of social exclusion. Statistics Denmark only disseminate a small part of EU-SILC. Dissemination is by Eurostat primarily., The survey is conducted in all EU member states once a year following the same guidelines. In Denmark the survey has been conducted since 2004., Statistical presentation, SILC consists of data on the composition of the households and their living conditions including questions on how easy it is for the household to make ends meet and the financial burden of the housing costs. Further information is collected on health and position on the labour market etc. These interview questions are then supplemented by a lot of register based information, mainly on incomes, demographics, housing and education. , Read more about statistical presentation, Statistical processing, The subjective data from the interviews are combined with the register based data using the Central personal Register. To adjust for non-response bias, weights are computed and assigned to respondents. This ensures that the survey population match the Danish population on demographics and income levels. , Read more about statistical processing, Relevance, SILC is primarily used by Eurostat and the European Commission. Users of the statistics published in Denmark are mainly the press., Read more about relevance, Accuracy and reliability, Data are based on a survey; hence there is some statistical uncertainty; especially on subgroups. In addition to sampling errors there might be a slight risk of bias. A calibration of the survey is carried out in order to limit any bias and make sure that the sample reflects the population on factors such as demographics and incomes. For the published variables the effect and risk of bias is assumed to be negligible due to the strong correlation with incomes., Read more about accuracy and reliability, Timeliness and punctuality, The data are usually published in December or January following the interview period. There is a risk of delays, due to the many different data sources used to compile SILC - which may not be available in due time., Read more about timeliness and punctuality, Comparability, The published indicators are assumed comparable over time and between countries participating in the EU-SILC., Read more about comparability, Accessibility and clarity, Some main figures are published in Nyt fra Danmarks Statistik and in the statbank. Eurostat publish many figures in the , Eurostat database, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/survey-on-living-conditions--silc-

Documentation of statistics

Documentation of statistics: Child care in private kindergartens before school start

Contact info, Population and Education , Get documentation of statistics as pdf, Child care in private kindergartens before school start 2023 , Previous versions, Child care in private kindergartens before school start 2022, Child care in private kindergartens before school start 2021, The following statistics show the number of enrolled children and the number of employed personnel in private daycare institutions. Children and personnel are assessed as full-time equivalent. The statistics are published for the first time in the year 2022., Statistical presentation, The statistics provide an annual report on the number of enrolled children and staff with educational responsibilities in private daycare institutions. Both children and staff are converted into full-time equivalents, and only pedagogical staff, such as pedagogical managers, early childhood educators, assistants, and aides, are included in the report. Children and staff in day care, pool scheme institutions, as well as municipal and self-governing daycare institutions, are not included in the statistics., Read more about statistical presentation, Statistical processing, Information on enrolled children and staff with educational responsibilities is received electronically from the municipal administrative systems and private payroll providers. Data validation is conducted, and the data may potentially be adjusted as a result of this process., Read more about statistical processing, Relevance, The ministries use the statistics to compare municipal resource allocation for childcare and to develop policies in the area. Interest organizations, such as BUPL, KL, and FOLA, use the statistics to evaluate resource allocation and the service level in the childcare sector. The data is collected based on an agreement between Statistics Denmark and the Ministry of Children and Education., Read more about relevance, Accuracy and reliability, Data primarily originates from municipal administrative systems. The accuracy may be affected by errors and omissions in the municipalities' records and the private daycare payroll data, as well as the correctness of keys used, for example, to allocate children into age groups in integrated institutions., Read more about accuracy and reliability, Timeliness and punctuality, To be implemented, Read more about timeliness and punctuality, Comparability, To be implemented, Read more about comparability, Accessibility and clarity, To be implemented, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/child-care-in-private-kindergartens-before-school-start

Documentation of statistics

Documentation of statistics: The Budgeted Use of Manpower in Municipalities

These statistics are no longer produced. A quality statement an old format is available as a PDF file: , The Budgeted Use of Manpower in Municipalities, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-budgeted-use-of-manpower-in-municipalities

Documentation of statistics