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Documentation of statistics: Energy Accounts for Denmark

Contact info, National Accounts, Climate and Environment, Economic Statistics , Thomas Eisler , +45 20 56 92 83 , TME@dst.dk , Get documentation of statistics as pdf, Energy Accounts for Denmark 2024 , Previous versions, Energy Accounts for Denmark 2023, Energy Accounts for Denmark 2022, Energy Accounts for Denmark 2021, Energy Accounts for Denmark 2020, Energy Accounts for Denmark 2019, Energy Accounts for Denmark 2018, Energy Accounts for Denmark 2017, Energy Accounts for Denmark 2016, Energy Accounts for Denmark 2015, Energy Accounts for Denmark 2014, Energy Accounts for Denmark 2013, Energy Accounts for Denmark 2012, Documents associated with the documentation, Metodedokument for statistikbanktabel LABY33 (pdf) (in Danish only), The energy accounts show how energy enters and is used within the Danish economy. They present flows of energy products according to the divisions and scope of national accounts. Flows include supply from production, extraction or imports and use in the form of consumption, exports and stock changes. Energy consumption in the the energy accounts is fully comparable with the description of the economic activity as described in the national accounts. In 1974, the first energy accounts for Denmark were made for the years back to 1966., Statistical presentation, The energy accounts account for 46 different energy commodities. The energy accounts are made up in specific physical quantities (tonnes, m3, GWh), energy units (joule) and gross energy consumption. The energy account is published in newsletters (Nyt) and in the statistical database. , Read more about statistical presentation, Statistical processing, Energy accounts are compiled using a method of product balancing. Supply and use of each energy product are compiled in a way to ensure their equality and are balanced by utilizing all the relevant information from the available sources., Read more about statistical processing, Relevance, The energy accounts are used by ministries, governmental agencies and organizations as a part of the surveillance of measures in the field of energy policy. Within Statistics Denmark, the energy accounts are used as basis for the supply use tables of the national accounts and as basis for the compilation of the air emissions accounts. The energy accounts are furthermore used as basis for input-output model based analyses., Read more about relevance, Accuracy and reliability, Precision and reliability are estimated to be great for the overall energy consumption thanks to energy statistics from the Danish Energy Agency as well as statistics on production and foreign trade with energy products. The precision of the distribution of energy use by industry is estimated to be less accurate. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published anually approx. 6 months after the reference period. However, on the most detailed level the energy accounts are published approx. 18 months after the reference period. The first publication 6 months after the reference period includes only data aggregated on 36 industry groups. The statistics is normally published without delays on the announced date. , Read more about timeliness and punctuality, Comparability, The energy accounts are available in a comparable form back to 1966, which allows for consistent time series analysis. The energy accounts were revised for all year with the publication on 20 November 2013. The main focus of the revision was to ensure comparability and consistency over time. The statistics follow international standards and are thus largely comparable with similar statistics from other countries. , Read more about comparability, Accessibility and clarity, Statistics are published in a Danish press release , Nyt fra Danmarks Statistik, . In StatBank Denmark under the theme , Energi- og emissionsregnskaber, . More information is found at , the theme page for energy and emission accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-accounts-for-denmark

Documentation of statistics

Documentation of statistics: Childcare after school start

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Childcare after school start 2024 , Previous versions, Childcare after school start 2023, Childcare after school start 2022, Childcare after school start 2021, Childcare after school start 2020, Childcare after school start 2019, Childcare after school start 2018, Childcare after school start 2017, Childcare after school start 2016, The statistics illustrate the number of children in childcare for schoolchildren and the number of employees with pedagogical assignments. The subject of childcare used to cover the entire childcare area for children from the age of 0-18 years, which from 2015 has been divided into childcare pre-school for children (0-5 years) and childcare school for children (6 - to 18 years). The purpose of this statistics is to shed light on childcare for schoolchildren., Statistical presentation, The statistics is an annual inventory of the number of enrolled children and the number of employees with pedagogical assignments in childcare for schoolchildren. The children and young people are measured by municipalities, category of child care, type of ownership and age. The staff are measured by municipalities and positions category. The statistics are published in StatBank Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from municipalities and payroll systems. It is supplemented by data from the Ministry of Education and electronic reports from self-employed and private institutions. The data collected are validated for large deviations as well as inconsistent information from the different sources and is compared with the numbers from previous years. , Read more about statistical processing, Relevance, There are several different diverse users of the statistics. The Danish Ministries use the statistics to compare the resource allocation to childcare in different municipalities and to develop policies on child care. Interest organizations, such as the National Association of Pedagogues (BUPL), the National Associations of Muncipalities (KL) and The Association of Parents (FOLA) use the statistics to assess the allocation of resources and the service level in the childcare area. Data has been collected on the basis of an agreement between Statistics Denmark and the Ministry of Children and Social Affairs., Read more about relevance, Accuracy and reliability, The inventory contains information from all 98 municipalities. The accuracy is affected by errors in municipal registrations and the assessment institutions on whether the staff is working in childcare or as the teacher in the same school. Some new established institutions can be missing and some can have changed status without Statistics Denmark has been informed. , Read more about accuracy and reliability, Timeliness and punctuality, The inventories are published without delay in relation to the pre-announced release date in the release calendar. The publications take place once a year., Read more about timeliness and punctuality, Comparability, Statistic on childcare can be dated back to 1943. In general it is possible to compare the total number of children and type of institutions from 1994 onwards. However be aware that the day of reference changes from spring to autumn from 2004. Statistics on childcare are published in several countries, but they do not have common guidelines. The subject of child care in the OECD countries is described in the yearly report Education at a Glance., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the subject of , Childcare, . For further information, go tp the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-after-school-start

Documentation of statistics

Documentation of statistics: SME Access to Finance

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, SME Access to Finance 2018 , Previous versions, SME Access to Finance 2014, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Statistical presentation, The statistics sheds light on small and medium-sized enterprises' access to finance, covering loan finance, equity finance and other types of finance. Results are published in a NYT from Statistics Denmark and related tables in the Statbank. , Read more about statistical presentation, Statistical processing, The statistics is annual and questionnaire-based. Information is reported digitally. Validation includes checks and supporting information built into the digital form, combined with subsequent checks and recontact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity, enterprise size class and subpopulations ( high-growth enterprises, high-growth new enterprises and other enterprises)., Read more about statistical processing, Relevance, The statistics provides updated information on growth conditions for the Danish business sector, specifically on small and medium-sized enterprises' access to finance. The 2018 survey was carried out in collaboration with, and with financing from, the Danish Ministry of Industry, Business and Financial Affairs. In addition, the statistics is expected to be used by other ministries, Danmarks Nationalbank (the Danish Central Bank), business associations and by researchers., Read more about relevance, Accuracy and reliability, Sampling error calculations have been produced. The response rate is 93 per cent. Unit non-response is limited and due to bankruptcy, take-overs, etc. Item non-response is also limited. The quality of the statistics is considered high., Read more about accuracy and reliability, Timeliness and punctuality, Results from the survey are published relatively soon after the end of the reference period, and results have been published without delays. Results for 2014 were published without delays in a NYT from Statistics Denmark and related tables in the Statbank in mid-April 2015. Results for 2018 will be published without delays in late October 2019., Read more about timeliness and punctuality, Comparability, The statistics provides updated information on small and medium-sized enterprises' access to finance in light of the financial crisis. The 2018 statistics is an update of previous surveys covering the periods 2007, 2009/2010 and 2014. for 2007 and 2009/2010 results for a number of other European Member States are also available. To provide the best basis for comparability over time, the survey has been repeated with an almost unchanged contents., Read more about comparability, Accessibility and clarity, Results are published in a Nyt from Statistics Denmark (in Danish only) and related tables in the Statbank. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sme-access-to-finance

Documentation of statistics

Documentation of statistics: Bachelor and long cycle higher education

Contact info, Population and Education, Social Statistics , Nanna Maria Kerlauge , +45 61 63 06 57 , nml@dst.dk , Get documentation of statistics as pdf, Bachelor and long cycle higher education 2024 , Previous versions, Bachelor and long cycle higher education 2023, Bachelor and long cycle higher education 2022, Bachelor and Long-Cycle Higher Education 2021, Bachelor and Long Cycle Higher Education 2019, Bachelor and Long Cycle Higher Education 2018, The statistics about bachelor and long-cycle higher educations describe activity on bachelor and long-cycle higher educations in Denmark. Bachelor and long-cycle higher educations are defined from Statistics Denmark's education classification DISCED-15 as all educations classified on level 60 and 70. The levels in DISCED-15 for higher education are classified according to the main fields regulated by law. Bachelor and long-cycle higher educations are typically 3 and 2 years in duration. Bachelor and long-cycle higher educations 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 bachelor and long-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 has drawn up standards for reporting formats, validation and error searching in cooperation with the system supplier STADS, who is in charge of the administrative systems on the universities. 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., 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. The statistics are usually published without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on bachelor and long-cycle higher education have been made further back than this. , Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Bachelors, and , Long-cycle higher education, . For further information, see the homepage of , Bachelors, and , Long-cycle higher education, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/bachelor-and-long-cycle-higher-education

Documentation of statistics

Documentation of statistics: High Growth Enterprises

Contact info, Business Dynamics, Business Statistics , Kalle Emil Holst Hansen , +45 21 58 48 87 , KHS@dst.dk , Get documentation of statistics as pdf, High Growth Enterprises 2023 , Previous versions, High Growth Enterprises 2022, High Growth Enterprises 2020, High Growth Enterprises 2018, High Growth Enterprises 2017, High Growth Enterprises 2016, High Growth Enterprises 2015, High Growth Enterprises 2014, High Growth Enterprises 2012, The statistics High growth enterprises in Denmark was published the first time in 2008. High growth enterprise as well as Gazelles were at that time measured. However, later the statistics was limited to only include Gazelles. The purpose of the statistics "Gazelles in Denmark" is to illustrate the development in the number of gazelles and jobs created in the growth period., Statistical presentation, The statistics counts yearly the number of gazelles in Denmark, as well as jobs created in the growth period. In addition the turnover at the beginning and end of the growth period is available., The growth indicator is the number of employees. The number of employees is converted into full-time equivalents (FTEs). The number of FTEs is used as a measure of the total amount of work performed by the gazelles employees during the year in question., The statistics covers only Non-Agricultural Private Sector., Read more about statistical presentation, Statistical processing, The statistics are based on the Business demography statistics and the information regarding surviving firms up to 5 years old. The information of survival is used to the delimitation of the population to be measured. The enterprise's development in number of full-time employment is measured from start to end of the growth period., Read more about statistical processing, Relevance, The statistics is used by ministries and governmental agencies, regional and county authorities as well as private sector institutions and enterprises. Number of gazelles in Denmark is used in analysis of the development of young high-growth enterprises (gazelles). Moreover, it illustrates the creation of new jobs amongst these enterprises in the growth period. No user satisfaction is collected., Read more about relevance, Accuracy and reliability, There exist a certain uncertainty regarding the identification of real new enterprises in the statistics of business demography, which the statistics Gazelles is based on. If the Business Demography has identified new administrative units incorrectly in relation to whether they are really new, it can affect the start population for these statistics, and thus the companies that have the opportunity to become new high-growth companies., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is available with final figures around 18 months after the end of the reference year. The statistics is published with preliminary data around 10 months after the end of the reference year., The statistics has not previously been delayed., Read more about timeliness and punctuality, Comparability, The statistics can not be directly compared to the statistics of Gazelles published by Eurostat, see the paragraph '7.01 International sammenlignelighed' for further explanation. The statistics are based on the real new enterprises from the business demography statistics. There have not been changes in methods since the beginning of the series., Read more about comparability, Accessibility and clarity, The data is published in NYT and is available in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/high-growth-enterprises

Documentation of statistics

Documentation of statistics: Oil and natural gas in the North Sea

Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Foged Svendsen , +45 21 34 73 19 , JFS@dst.dk , Get documentation of statistics as pdf, Oil and natural gas in the North Sea 2023 , Previous versions, Oil and natural gas in the North Sea 2022, Oil and natural gas in the North Sea 2021, Oil and natural gas in the North Sea 2020, Oil and natural gas in the North Sea 2019, Oil and natural gas in the North Sea 2016, The purpose of this natural resource account is to analyze stocks and stock changes in oil and natural gas in the North Sea. The statistics is measured in both physical and monetary units. The time series are comparable from 1990 onwards., Statistical presentation, The physical asset account and the monetary asset account for oil and gas in the North Sea is an annual statistics showing the reserves of oil and natural gas in the North Sea, which may be recovered under the given economic conditions and with known technology measured in cubic meters (m3). Both statistics show the reserves of oil and natural gas at the beginning of the year and the changes in the reserves during the year., Read more about statistical presentation, Statistical processing, Data for this statistic is provided annually by the Danish Energy Agency. Additional information is taken from the Energy Agency's publication on the oil and gas production. The collected data have undergone validation in the Energy Agency. The validation done by Statistics Denmark during the compilation of the natural resource accounts deals solely with ensuring consistency between the opening and closing stocks., Read more about statistical processing, Relevance, The statistics is used for analysis and forecasting by ministries, industry associations, research institutions and consultants and other who want an overview of the relationships between the economy and the environment., Read more about relevance, Accuracy and reliability, Based on the known knowledge and expectations about economic and technological aspects, the natural asset accounts provide an estimate of the size of the reserves of oil and natural gas in the North Sea. The Energy Agency changes the estimate of the reserves as the reserves are extracted and when new discoveries are made. Moreover, development of new extraction technology lead to revisions of estimates. The reserves are not a static physical quantity., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published without delay compared to the planned release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 1990 onwards. The statistics follow international standards and are thus comparable with similar statistics from other countries prepared in accordance with applicable international standards., Read more about comparability, Accessibility and clarity, The data for the oil and natural gas in the North Sea is published in the Statbank in the tables , OlieRg, and , GasRg, . See more on statistics , topic page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/oil-and-natural-gas-in-the-north-sea

Documentation of statistics

Documentation of statistics: Waste Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Waste Accounts 2022 , Previous versions, Waste Accounts 2021, Waste Accounts 2020, Waste Accounts 2019, Waste Accounts 2018, Waste Accounts 2017, Waste Accounts 2016, Waste Accounts 2015, Waste Accounts 2014, Waste Accounts 2013, Documents associated with the documentation, affaldsfraktioner_oversigt_ny3 (pdf) (in Danish only), Waste accounts record how much waste is generated in different parts of the economy, what kind of waste it is and how it is treated. Imports and exports of waste are also covered. The waste accounts build on data from the Danish Environmental Protection Agency and were published for the first time in 2015. Municipal waste by municipality, treatment form and waste type is compiled in 2023., Statistical presentation, Waste accounts measure the amounts of generated waste distributed to 117 industry groups. Within the industry groups, waste is distributed according to categories and forms of treatment. Imports and exports of waste are distributed according to form of treatment and waste category. The waste accounts are published annually and disseminated through a press release and tables in the StatBank., The statistics is part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Municipal waste by municipality, treatment form and waste type is compiled for the first time in 2023., Read more about statistical presentation, Statistical processing, Waste data are validated in the Danish Environmental Protection Agency before Statistics Denmark receives them. The data processing in Statistics Denmark primarily concerns the detailed and complete distribution of the waste to the 117 industry groups of the Green National Accounts., Read more about statistical processing, Relevance, Waste accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in waste, resources, economic-environmental interactions, the circular economy etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The quality is good concerning the figures for total amounts of waste as well as the amounts for different forms of treatment. The distribution of waste according to categories also has a good quality, even if it is most reliable at the aggregated level. At more detailed level, the precision is less due to measurement errors (in the reporting)., The detailed distribution according to industry groups is less precise. This stems from errors in the source data (measurement errors from the reporting) as well as from the assumptions made in the distribution of waste to detailed industry groups. , Waste by individual municipalities is less precise than totals for the municipality groups. This stems from the data source, and can be linked to waste from one municipality being treated at a facility in a different municipality, waste stations being used by inhabitants of several different municipalities etc., Read more about accuracy and reliability, Timeliness and punctuality, Publication of the waste accounts was on time, 21 months after the end of the reference period. The long production time is due to the dependence on data from the Environmental Agency., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Waste Accounts are unchanged throughout the period covered by published figures. International comparison is possible with all other waste accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Waste Accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/waste-accounts

Documentation of statistics

Documentation of statistics: Shelters

Contact info, Personal Finances and Welfare, Social Statistics , Chris Cornelia Friis Christiansen , +45 23 13 05 91 , CCC@dst.dk , Get documentation of statistics as pdf, Shelters 2024 , Previous versions, Shelters 2023, Shelters 2022, Shelters 2021, Shelters 2020, Shelters 2019, Shelters 2018, Shelters 2017, Shelters 2015, The purpose of the statistics Shelters is to provide information about the users of the types of accommodation as prescribed by section 110 of the Social Services Act, which includes reception centers etc. The statistics were originally established by the National Board of Social Appeals in 1999. Until July 1st 2016, the Appeals Board managed the statistics, after which it was transferred to Statistics Denmark. , Statistical presentation, The statistics provides an annual statement on number of nights and number of persons who have spent the night on an accommodation established in accordance with section 110 of the Service Act. The statistics are distributed by age, sex, number of nights and number of stays., Read more about statistical presentation, Statistical processing, The received data are reviewed for obvious errors, such as date format and incorrect time periods. The received data are processed with the aim to gather data into one dataset. When all datasets are combined, duplicates, missing departure dates, etc. are validated. Data are linked to the population register in Statistics Denmark for further information about the users., Read more about statistical processing, Relevance, The statistic is relevant for authorities, analysts and scientists, who wants knowledge about the demand and capacity of shelters. , Read more about relevance, Accuracy and reliability, Submitting data is required by law. The number of persons who use a type of accommodation as prescribed by section 110 of the Social Services during the year is measured fairly accurately. In some cases, completion is lacking in categories such as where the citizen is referred from, how the discharge has been taken place and where the user has been discharged to. In these cases, "unknown" is used in regard to the validation. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approx. 6 months after the end of the reference period. The statistics for 2024 has been published without delay in relation to the planned time of publication., Read more about timeliness and punctuality, Comparability, The Statistics has been maintained since 1999, but is comparable in its current form since 2021. Because of a data breach in 2021, data before and after 2021 should be compared with reservations. Men who have a stay at a crisis center by section 109 will no longer be included in the statistic by July 1, 2024. They will be included in the section 109 statistics. In addition, there has been removed and included new variables, why data breach will occur in these informations. , 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 , Shelters and care homes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2025

Name: , DISCED15_AUDD_HOVED_V1_2025 , 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, 2025 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd

Documentation of statistics: Long Term Unemployed Persons

Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Long Term Unemployed Persons 2024 , Previous versions, Long Term Unemployed Persons 2020, Long Term Unemployed Persons 2019, Long Term Unemployed Persons 2018, Long Term Unemployed Persons 2017, Long Term Unemployed Persons 2016, Long Term Unemployed Persons 2015, Long Term Unemployed Persons 2014, This statistics show the structure and development of long-term unemployment, defined as gross unemployment spells of minimum 52 weeks. The statistics cover all months in the period from January 2009 onwards. The statistics also covers shorter and longer unemployment spells, these different spells was published for the first time in October 2018., Statistical presentation, The statistics cover the persons who are long-term unemployed due to administrative data. A long-term unemployed person has been gross unemployed for at least 52 consecutive weeks (1 year). Persons who leave the gross unemployment for a period of 4 weeks, within the 12 months, and who is not in ordinary employment during the period of 4 weeks are also included in the statistics. The statistics also covers unemployment spells by duration from 26 weeks (0,5 year) up to 156 weeks (3 years)., Read more about statistical presentation, Statistical processing, The statistics of long-term unemployment is made out of the register of public benefits that covers all persons receiving public benefits in the age below their official pension age. The Register of Employees is also used in the statistics. The employment records cover employed persons in firms registered in Denmark from January 2008 onwards., Both data regarding public benefits and employment is collected quarterly. , Read more about statistical processing, Relevance, Users: Ministries (primary the Ministry of Employment), municipalities, organizations, educational institutions, research institutions, the news media and private persons., The statistics is quite new and there has not been collected any knowledge about the user experience., Read more about relevance, Accuracy and reliability, The statistics measure the number of long-term unemployed persons according to administrative registers and is based on a full sample. The statistics is precise according to the written description of long-term unemployment., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and is published 4 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic is comparable from one month to another from January 2009 onwards. For international comparison the long unemployment term/figures from the Labour Force Survey is recommended., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Unemployed persons, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/arbejdsloese). , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/long-term-unemployed-persons

Documentation of statistics