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Documentation of statistics: Health - Municipal Indicators

These statistics are no longer produced. A quality statement an old format is available as a PDF file: , Health - Municipal Indicators, .

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health---municipal-indicators

Documentation of statistics

Documentation of statistics: Charges for child care

Contact info, Population and Education, Social Statistics , Stine Gøral-Larsen , +45 30 35 55 38 , STI@dst.dk , Get documentation of statistics as pdf, Charges for child care 2026 , Previous versions, Charges for child care 2025, Charges for child care 2024, Charges for child care 2023, Charges for child care 2022, Charges for child care 2021, Charges for child care 2020, Charges for child care 2019, Charges for child care 2018, Under construction., Statistical presentation, Under construction., Read more about statistical presentation, Statistical processing, Under construction., Read more about statistical processing, Relevance, Under construction., Read more about relevance, Accuracy and reliability, Under construction., Read more about accuracy and reliability, Timeliness and punctuality, Under construction., Read more about timeliness and punctuality, Comparability, Under construction., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Childcare, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/charges-for-child-care

Documentation of statistics

Classification of Occupations DISCO-løn 1996, v3:1996

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCO_LOEN_V3_1996 , Description: , Parallel with DISCO-88, Statistics Denmark have, in collaboration with the Danish Employers' Association, prepared , DISCO-løn, for use in wage structure statistics. In line with ILO recommendations, DISCO-løn has a more detailed structure than ISCO-88 / DISCO-88. Thus, DISCO-løn consists of both a six-digit code for job description and a one-digit code for job status. The first four digits are identical to the code structure of DISCO-88., Valid from: , January 1, 1996 , Valid to: , December 31, 2003 , 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=4012be65-961a-4e98-9a7d-e6458765afeb

Documentation of statistics: Persons below the state pension age on public benefits

Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Persons below the state pension age on public benefits 2025 , Previous versions, Persons below the state pension age on public benefits 2024, Persons below the state pension age on public benefits 2022, Persons below the state pension age on public benefits 2020, Persons below the state pension age on public benefits 2019, People Receiving Public Benefits (16-64-years-old) 2018, People Receiving Public Benefits (16-64-years-old) 2017, People Receiving Public Benefits (16-64-years-old) 2015, People Receiving Public Benefits (16-64-years-old) 2014, The purpose of the statistics is to show trends in average/full-time participation in labour market policy measures. Based on a report prepared by the activation statistics committee (report no. 1259) the first statistics were compiled as from the first quarter of 1994. The reason for setting up the committee was that the Danish statistics at that time were unable to provide reliable data on the wide variety of municipal activation schemes. The committee's work was performed over the period December 1992 to October 1993. Since 1994 new measures have been introduced and others have ceased. As from the third quarter of 1999 the number of persons working in flex- and sheltered jobs are published concurrently with the labour market policy measures. Persons participating in activation according to the job integration act were included from the first quarter of 2000. As from the third quarter of 2003, and with effect in the publications as from the first quarter of 2004, a number of changes to the codes/names were undertaken due to a political reform that meant the introduction of new activation schemes, whereas other schemes ceased to exist. From 2007 the statistics is extended with persons on early retirement pay, sickness benefit, maternity leave and from 2008 it is extended furthermore with young people in ordinary education ('SU-modtagere')., Statistical presentation, The statistics provide data on trends in the average number of participants (beneath their state pension age) with public benefits, analyzed by labour market policy measure. The activities take place within the following main groups: Unemployed, persons in supported employment, leave, education/training, other activation, integration allowance, sickness benefit and different kinds of early retirement pay. The figure on average number of participants (full-time participants), is a volume measurement. The figures is comparable with the average number of full-time unemployed in the unemployment statistics., From June 2022 the statistics is extended to include persons receiving 'Early Pension", 'Senior Pension' and 'Adult apprenticeship support'. From March 2025 and again from September 2025 the statistics on sickness benefit recipients is changed., Read more about statistical presentation, Statistical processing, All data necessary for the statistics is collected from administrative registers. The data is collected through SAS-files and FTP-servers. When the data files are collected we make a preliminary validation of each file. Afterwards the data is loaded in the database (PSD) on a uniform format. After that illegal overlapping time periods where the same person is receiving different conflicting public benefits are eliminated before the total data amount is transmitted into a 'production database' from where the statistics is published., Read more about statistical processing, Relevance, 'Users': Municipalities, regions, ministries, organizations and the media. 'Fields of application': Public labour market surveillance. There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, media, has always been considerable, and the statistics is expected to be an important part of the future 'Labour market account' (AMR), which is going to be released in the spring 2015., Read more about relevance, Accuracy and reliability, All data necessary for the statistics is collected from administrative registers. The statistics cover the population aged 16-64 who is receiving some sort of public benefits. Conflicting and erroneous information about each individual person may frequently occur as the statistics are compiled from a variety of administrative registers. Examples are a person who is regarded as both a recipient of cash benefits and as a person entitled to claim unemployment benefits, or a person participating in several activation schemes at the same time, which exceed 37 hours per week, or a person participating in the same activation over an unrealistic long period of time. The main reason for these errors is that the respondents fail to update the existing data as soon as new data is available. Error correction is some times undertaken by Statistics Denmark on the basis of logical requirements and some times by the respondents themselves. However, the best possible solution is for error correction to be undertaken by the respondents themselves. The municipalities report data on persons entitled to claim cash benefits and similar allowances in various ways. Currently there is no estimates/numbers available on the total statistical errors., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact release dates are advertised a year ahead., Read more about timeliness and punctuality, Comparability, The current statistics on persons receiving public benefits covers in general the time period from the 1. of January 2007 and onwards. Persons receiving ordinary education (SU-modtagere) is only included from the 1. of January 2008 and onwards. From 2006 to 2007 there are some differences in the covering and in the concepts. However, some time series in the stat bank starts back in the first quarter of 1994. The general comparability is reduced by the many changes in the measures over time. When the statistics is based on a number of national administrative registers it is obviously very difficult to make any international comparisons. However, Eurostat has tried to make some international comparisons in the area of participants/expenditures on some sorts of public benefits through their Labour Market Policy (LMP)-database., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Persons below the state pension age on public benefits, . For more information please see the subject page for , Persons receiving public benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/persons-below-the-state-pension-age-on-public-benefits

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

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: Benefit to disability car

Contact info, Personal Finances and Welfare, Social Statistics , Johanna Jallberg , +45 20 16 01 71 , JJG@dst.dk , Get documentation of statistics as pdf, Benefit to disability car 2024 , Previous versions, Benefit to disability car 2023, Benefit to disability car 2022, Benefit to disability car 2021, Benefit to disability car 2020, Benefit to disability car 2019, Benefit to disability car 2018, Cars for the disabled 2017, Cars for the disabled 2016, The purpose of these statistics is to provide information on cases on subsidies for disability cars as prescribed by section 114 of the Danish Social Services Act. These statistics were initiated in the Danish Social Appeals Board back in 1998. Until 1 July 2016, these statistics were managed by the Appeals Board, after which they were transferred to Statistics Denmark. , Statistical presentation, The statistics are an annual statement of the total amount of cases, among these are number of refusals, average time of casework counted in weeks as well as the total amount of money granted towards subsidies to disability cars prescribes by section 114 of the Danish Social Services Act. The statistics are distributed by municipalities., Read more about statistical presentation, Statistical processing, Consistent data is received from the municipalities. Data is validated, checked for logical errors, and compared to the previous year. Data is then compiled into one data set. , Read more about statistical processing, Relevance, The statistics state the decisions in the municipalities and are used by e.g. ministries, municipalities and journalists. , Read more about relevance, Accuracy and reliability, Submitting data is required by law and after validation, data is reliable to the extent that Statistics Denmark has received all decisions. Corrections for earlier statistical years may be made subsequently. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published approximately nine months after the expiry of the reference period. These statistics are published without delay, with reference to the announced time of publication in the release calendar. , Read more about timeliness and punctuality, Comparability, Data has been collected since the year 2000. Following the Danish municipality reform in 2007, the jurisdiction was transferred from the old counties to the municipalities. From 2010 onwards, the municipalities also had to report the size of the benefits., 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 the subject , Disability care, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefit-to-disability-car

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