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Classification on education (DISCED-15), current educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2020 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2020 , Valid to: , January 31, 2021 , Office: , Population and Education , Contact: , Nare Hakhverdyan, , nhd@dst.dk, , ph. +45 23 72 80 07 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, Still valid, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=7d657cf8-f8b7-4093-bc82-a11e18d2972a

Documentation of statistics: Structure of Earnings

Contact info, Labour Market , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2023 , Previous versions, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

Documentation of statistics

Documentation of statistics: Medium-Cycle Higher Education

Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Medium-Cycle Higher Education 2024 , Previous versions, Medium-Cycle Higher Education 2023, Medium-Cycle Higher Education 2022, Medium-Cycle Higher Education 2021, Medium-Cycle Higher Education 2020, Medium-Cycle Higher Education 2019, Medium-Cycle Higher Education 2018, The statistics about medium-cycle higher education describe activity on medium-cycle higher education in Denmark. Medium-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 50. The levels in DISCED-15 for higher education are classified according to the main fields regulated by law. Medium-cycle higher educations are typically 1-2 years in duration. Medium-cycle higher education statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on medium-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer medium-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. , Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on medium-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as medium-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, Statistics are released 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 , Medium-cycle higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/medium-cycle-higher-education

Documentation of statistics

Documentation of statistics: Sales of real property

Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of real property 2023 , Previous versions, Sales of real property 2022, Sales of real property 2021, Sales of real property 2020, Sales of real property 2019, Sales of real property 2018, Sales of real property 2017, Sales of real property 2016, The statistics for Sales of real estate property measure the number of sales and prices of transactions of Danish real estate properties. The statistics are used for monitoring developments in the real estate market, as well as economic developments. The current price indices link back to 1992. There are price indices for previous years, but there are methodological differences., Statistical presentation, This statistics are published monthly including price and volume trends in real estate transactions, such as one-family houses, owner-occupied flats, agricultural properties and business properties. These statistics contain key figures broken down by category of real estate property, region, type of transfer, price index and period. The statistics include all registered real estate transactions, which include land, both newly built and existing properties., Read more about statistical presentation, Statistical processing, Data concerning the registration of ownership of real estate properties is collected on a monthly basis from the electronic land registration system via Datafordeleren. The data is checked for errors by Statistics Denmark. The individual real estate transactions are divided according to category of real property, region, type of transfer and period. Aggregated figures are then calculated for number of sales, average prices and the ratio between purchase price and appraisal value (spar-value). Finally, the price index is calculated., Read more about statistical processing, Relevance, There is a great interest for the published numbers among users, which follows the currently economic business cycle. The statistics of sales of real properties are relevant for the banking- and financial sector, real estate agents, politicians, researchers and the news media. The users consider the statistics for sales of real estate properties as an important economic indicator. The statistics have a high profile in the press and among other professional users., Read more about relevance, Accuracy and reliability, The precision of the price development is the result of the quality of the appraisals and of the assumptions in the SPAR-method, which seeks to correct the quality of the sold properties in order to measure the pure price development. There is no significant bias in the preliminary figures for the price development, while the preliminary figures for the average prices are underestimated, as they are not corrected for the bias in the registration pattern., Read more about accuracy and reliability, Timeliness and punctuality, The statistics for sales of real property publish preliminary quarterly and annual figures 3 months after the end of the reference period. Monthly figures are published only as final figures. Final figures are available 13 months after the end of the reference period. The statistics are published without delays in the planned releases. , Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for sales of real properties is published in , News from Statistics Denmark, . Detailed figures can be found in , StatBank, and in the [Online payment data bank](https://www.dst.dk/betalingsdatabank. The figures are also included in the Statistical Ten-Year Review and Statistical Yearbook (has been discontinued). Historical figures can be found here: , Historical sales of real property, . Analyzes (only available in Danish) can be found , here, and , here, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-real-property

Documentation of statistics

Documentation of statistics: Reported criminal offences

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Reported criminal offences 2024 , Previous versions, Reported criminal offences 2023, Reported criminal offences 2022, Reported Criminal Offences 2021, Reported Criminal Offences 2020, Reported Criminal Offences 2019, Reported Criminal Offences 2018, Reported Criminal Offences, Year 2017, Reported Criminal Offences, Year 2016, Reported Criminal Offences 2015, Reported Criminal Offences, Year 2014, Reported Criminal Offences, Year 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Anmeldelser (docx), offerrapport_2021 (pdf) (in Danish only), Engelsk_Voldtægtsforbrydelser_Anmeldelser (docx), offerrapport_2022 (pdf) (in Danish only), The statistics analyze the number of criminal offences in violation of the criminal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921. Until 1990, Statistics Denmark received monthly copies of the offence reports from the police for registration. Since 1 January 1990, Statistics Denmark has received data both quarterly and annually from the Central Register of Reported Offences, a register administered by the National Commissioner of the Danish Police., Statistical presentation, The statistics show the number of offences of criminal code and special laws/legislation reported to the police or discovered by the police itself., The statistics on reported criminal offences form part of the Danish System of Criminal Statistics. The System of Criminal Statistics includes data on criminal cases from the reported offences and charges to the convictions plus arrests and imprisonments., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission., The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The accuracy of the statistics on reported criminal offences is considered to be good. The data come from a single administrative register system storing information on all reported crimes. Analyses have shown that approximately 5 percentages of the crimes registered in a calendar year, are committed in an earlier year. Corresponding approximately 5 percentages of all crimes reported committed in a calendar year are not registered until a following year. The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1990. Due to changes in the grouping of the criminal offences and changes in the 'clear-up-concept' caution should be shown by comparing figures over time before this year., Eurostat collects annual data from the member states on reported criminal offences and publishes statistics based on this. However, according to the Eurostat metadata, the range of items included in the different groups of crime differs between countries and comparisons based upon absolute figures are therefore misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Teacher-student register for primary school

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

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

Documentation of statistics

Documentation of statistics: Housing Benefits (monthly

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing Benefits (monthly 2024 Month 01 , Previous versions, Housing Benefits (monthly 2023 Month 03, Housing Benefits 2022 Month 02, Housing Benefits 2022 Month 01, Housing Benefits 2021 Month 12, Housing Benefits 2020 Month 12, Housing Benefits 2019 Month 12, Housing Benefits 2018, Housing Benefits 2017 Month 12, Housing Benefits 2016 Month 12, Housing Benefits 2015 Month 12, Housing Benefits 2014 Month 12, Housing Benefits 2013 Month 12, Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on housing benefits 2025 is published in March 2026., Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly in , Nyt fra Danmarks Statistik, . Simultaneously, the statistics are published online at http://www.Statbank.dk under the subject , Adults receiving social benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/housing-benefits--monthly

Documentation of statistics

Documentation of statistics: Convictions

Contact info, Population and Education, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Convictions 2024 , Previous versions, Convictions 2023, Convictions 2022, Convictions 2021, Convictions 2020, Convictions 2019, Convictions 2018, Convictions 2017, Convictions 2016, Convictions 2015, Convictions 2014, Convictions 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Domme (docx), Engelsk_Voldtægtsforbrydelser_Afgjorte biforhold (docx), The purpose of the statistics is to analyse the number of convictions for criminal offences in connection with offences against the penal code, the road traffic act and other special laws. The statistics on convictions for criminal offences date back to 1832, but are in its present form comparable from 1980 and onwards., Statistical presentation, The statistics shed light on the number of convictions for violation of the penal code, the road traffic act and other special legislation as well as the length of imprisonments. Convictions consist of imprisonments, fines, withdrawals and also acquittals. The statistics are divided after type of offence, type of conviction, sex, age, municipalities and regions., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Criminal Register - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant decisions are deleted. Based on the reported data the length of unsuspended and suspended sentences are calculated., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the http://www.statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The reliability of the statistics on convicted criminal offences is considered to be good. The data come from a single administrative register and Statistics Denmark receives a single total extract annually., The statistics include all convictions registered in the central criminal register at the time the extract is done, typically about February 1st following the relevant year. A number of convictions made during the year will happen not to be registered at that time. That implies that the total number of convictions presumably is under-estimated., The statistics is only published as final figures., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the year. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1979, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. , Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark, . In StatBank the statistics are published under the subject , Convictions, . Besides this the statistics form part of Statistical Ten-Year Review and the publication , Kriminalitet (Criminality), (danish only). At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/convictions

Documentation of statistics

Documentation of statistics: Home to work commuting

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Commuting 2016 , Previous versions, The purpose of the RAS statistic is to provide a description of the Danish population's commuting and distance between place of residence and work place. The commuting statistic has been published since 1984. The distance between residence and work place was first published in 2006. The statistic is in the current form comparable from 2008 and forward. , Statistical presentation, The statistic is an annually and individual based count of the employed persons commuting between residence and work place in the last working day in November. Including a calculation of the distance between the commuters residence and work place i kilometers (km). The commuting statistic is published in the Statbank where the statistic besides from residence, work place and commuting distance also is divided on sex, industry (DB07) and socioeconomic status. Data is also available trough the Division of Research Services and DST Consulting., 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 done by taking a status (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 statistic is compiled from RAS which is used to present the primary connection to the labour market for people resident in Denmark. RAS contains a series of data sources that are integrated, debugged and harmonized. RAS does therefore not contain the same uncertainties as statistics based on samplings. , The definition of the primary job for employed persons is source to uncertainty in the commuting statistic, since the workplace address for the primary job and the address of residence is the foundation for the calculation of the commuting distance. 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, The commuting statistic is published approximately 17 months after the reference point in time. The date of publication, which is normally complied without delay, is defined more than a year ahead. , Read more about timeliness and punctuality, Comparability, The statistic is published since 1984, and is in the current shape comparable from 2008 and forward. The statistic shows commuting within and across municipalities in Denmark, and the data foundation is based on administrative registers with national features. It is therefore difficult to compare the statistic internationally. , New and better data foundations and changes in the labour market have caused a number of data breaks over time, which have influence on the possibility of comparing data over time. , Read more about comparability, Accessibility and clarity, The statistic is published annually 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 , Commuting from home, and , Commuting to workplace, . For further information, go to the subject page for , Commuting, . , Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Church Statistics

Contact info, Population and Education , Dorthe Larsen , +45 23 49 83 26 , DLA@dst.dk , Get documentation of statistics as pdf, Church Statistics 2017 , Previous versions, Church Statistics 2016, Church Statistics 2014, The statistics cover the people’s relation to the national church. Furthermore it accounts for the number of different religious ceremonies, among other baptisms, confirmations and funerals., The production of statistics on the national church was introduced in 1974. There have not been produced statistics on the national church for the years 2003-2006. For the years 1984-2002 statistics on recognized religious communities, their members and religious ceremonies corresponding to the religious ceremonies of the national church was also produced. , Statistical presentation, The statistics is produced for parishes, deaneries and dioceses., The basis for the statistics is partly data from the Central Population Register (CPR) and partly data on religious ceremonies reported from each parish. The data on religious ceremonies is received from the Ministry of Ecclesiastical Affairs., The statistics based on data from CPR concerns the number of members of the National Church, registrations and resignations as well as births and deaths., The statistics based on data from the Ministry of Ecclesiastical Affairs concerns baptism, confirmations, funerals, persons presented to the church, number of banns and religious blessings., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from the Ministry of Ecclesiastical Affairs is basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, The Ministry of Ecclesiastical Affairs, interest groups within the ecclesiastical area and the media are using the statistics for public and private planning and as input to the public debate., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., The the data from the Ministry of Ecclesiastical Affairs is also considered to be of high quality. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning the National Church is published app. 45 days after the end of the year., Read more about timeliness and punctuality, Comparability, The statistics on the National Church has been produced since 1974. Until 1984 the statistics were exclusively based on data from the the Central Personal Register (CPR) while the statistics for the years 1984-2002 have been supplemented with a survey on the recognized religious communities. In this period the statistics is comparable. For certain main figures comparable time series from 1980 were disseminated., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release and are presented in the , Statistical Yearbook, . In the Statbank these statistics can be found under the subjects , Members of the National Church, and , Religious ceremonies, . For further information go to the subject pages for , Members of the National Church, and , Religious ceremonies, ., Read more about accessibility and clarity

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

Documentation of statistics