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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

Classification of Occupations DISCOLØN 2004, v4:2004

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCO_LOEN_V4_2004 , Description: , DISCOLØN has been used for national wage statistics since 1993, thus forming the wage statistics classification of professions. DISCOLØN is a specialized DISCO, the Danish version of ISCO-88 (International Standard Classification of Occupations). The use of DISCOLØN makes it possible to compare employees with the same work function - regardless of the formal title and education of the employee., With the 2004 version of DISCOLØN, Statistics Denmark adapted the nomenclature to ensure a good balance between the possibility of producing relevant wage statistics and the current situation in the Danish labor market., Valid from: , January 1, 2004 , Valid to: , December 31, 2009 , Office: , Arbejde og Indkomst , Contact: , Sam Blanch, , slb@dst.dk, , ph. +45 23 63 60 44 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, DISCO-08 in wage statistics, v2:2012, January 1, 2012, Still valid, DISCO-08 in wage statistics, v1:2010, January 1, 2010, December 31, 2011, Classification of Occupations DISCOLØN 2004, v4:2004, January 1, 2004, December 31, 2009, Classification of Occupations DISCO-løn 1996, v3:1996, January 1, 1996, December 31, 2003, Classification of Occupations DISCO-løn 1994, v2:1994, January 1, 1994, December 31, 1995

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco-loen?id=e662567c-abae-42c0-a335-f95acf033ade

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: Home to work commuting

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Home to work commuting 2024 , Previous versions , Commuting 2016, The statistics measure commuting between place of residence and workplace within Denmark, including the distances between commuters’ homes and workplaces. Commuting statistics viewed as commuting between municipalities can be compiled from 1980 onwards. The distance between home and workplace was first calculated in 2006. The statistics are comparable in its current form from 2008 onwards., Statistical presentation, The statistics provide an annual, individual-based account of employed persons’ commuting between place of residence and workplace on the last working day of November. The distance between commuters’ home and workplace is also calculated in kilometres (km). The commuting statistics are published the StatBank, where the data can be distributed on place of residence, workplace, commuting distance, gender, industry (DB07), and socio-economic status., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is compiled taking a snapshot (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistics are based on the Register-Based Labour Force Statistics (RAS), which are used to describe the population’s attachment to the labour market. RAS is compiled from a wide range of data sources that are integrated, error-checked, and harmonised within the labour market accounts. RAS is produced as a snapshot at the end of November based LMA. Therefore, RAS does not carry the same level of uncertainty as statistics based on sample surveys., It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, Commuting statistics for commuting between municipalities are published approximately 11 months after the reference date. Commuting distances are published approximately 17 months after the reference date. , Read more about timeliness and punctuality, Comparability, The statistics can be compiled from 1980 and are comparable from 2008 onwards. Historically, there have been various data breaks in the RAS statistics, which are described in the statistical documentation for RAS., Read more about comparability, Accessibility and clarity, In the StatBank the statistics is published can be found under the subject , Home to work commuting, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

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: Overdue Tax (Discontinued)

Contact info, Government Finances , Get documentation of statistics as pdf, Overdue Tax 2012 , Previous versions , The purpose of Overdue tax is to analyze long-term and short-term trends in the yearly overdue tax. The present statistics were compiled for the first time in 1995., Statistical presentation, The statistics provide a yearly overview of the various and total overdue taxes., Both the total and the individual overdue taxes are of social interest as they influence the government cash flow., Read more about statistical presentation, Statistical processing, No statistical processing is done., Read more about statistical processing, Relevance, The statistics provide a yearly overview of the various and total overdue taxes owed by the households and businesses., Read more about relevance, Accuracy and reliability, There are no sources of statistical uncertainty of importance., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published on the scheduled date without delays., Read more about timeliness and punctuality, Comparability, As the figures on total overdue tax are easily affected by the established practice of the Danish tax authorities, and these practices vary over time and place, comparability over time can be problematic., One should also be aware that new taxes are often added and old taxes are abandoned. This may further affect the comparability over time., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, ., Skatter og Afgifter (Taxes and Duties), ., Statbank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/overdue-tax--discontinued-

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: Home Appliances (Discontinued)

Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Home Appliances 2023 , Previous versions , Home Appliances 2022, Home Appliances 2020, Home Appliances 2019, Home Appliances 2018, Home Appliances 2017, Home Appliances 2016, Home Appliances 2015, These statistics shows Danish families' possession of electronics in the household. New electronic products are constantly being developed, which over time become commonplace in Danish homes. The products in the statistics are replaced on an ongoing basis, so that new ones are included, while others are removed as they have become commonplace, e.g. smart TV. The survey has been compiled since 1990 and the statistics have been comparable ever since. Before 2000, the surveys were conducted in October. Since 2001, data are collected in April., Statistical presentation, These statistics are an annual survey of how many percent of Danish families who possess different types of electronics, e.g. robot vacuum cleaners, smart TV and smart phones etc. , Read more about statistical presentation, Statistical processing, For the time being the sample of an omnibus survey consists of 1,500 persons, drawn from a population of persons aged 16-74 residing in Denmark., As it is not possible to interview all 1,500 persons, each completed interview is given a personal weight, which corrects the effects of non-sampling and non-response (including no telephone) and ensures that the results cover the whole population in the sample. , However, the questions on home appliances do not concern the individual person, but the family he/she is living with. For that reason the answers are given a family weight, which ensures that the families with different numbers of persons aged 16 years or over are represented in the sample with varying probability. A family is defined as one or several persons between 16 and 74 years who live in the same accommodation and are related (includes also cohabiting couples) and their children, though there can only be one married or cohabiting couple in the family. The sum of the family weight for all completed interviews, gives the number of families in Denmark that have persons aged between 16 and 74 years., In the frame of data validation the check of the data correctness is conducted by checking the consistency of the responses by every single respondent, comparison of the results with the results of the previous year, as well as comparison of the non-response rate are also undertaken., Read more about statistical processing, Relevance, The press use the information to inform about developments in home appliances., Read more about relevance, Accuracy and reliability, As the results are based on a sample survey, they are subject to a certain degree of statistical uncertainty. This depends on both the size of the sample and the number of completed interviews, which vary from survey to survey. With a sample of approximately 1,500 persons and a response rate of about 65 pct., which has normally been achieved in the last few years, the statistical uncertainty is in 95 pct. of the cases estimated to range between +/- 3 percentage points., Read more about accuracy and reliability, Timeliness and punctuality, There is no difference between planned and actual release time., Read more about timeliness and punctuality, Comparability, The number and nature of the electronic products, that are included in the studies are replaced along the way, so that new products that - especially as a result of technological development - become interesting are added. Products that have become common property in almost every family are discontinued. Therefore comparison over longer periods some times could be difficult., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Home appliances, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-appliances---discontinued-

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