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Classification on education (DISCED-15), completed educations, v1:2018

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2018 , 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, 2018 , Valid to: , January 31, 2019 , Office: , Population and education , Contact: , NHD , 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?id=62f56e2b-ff29-4f2c-a1e1-7ec604c94b27

Documentation of statistics: Milk and Dairy Products

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Milk and Dairy Products 2025 , Previous versions, Milk and Dairy Products 2024, Milk and Dairy Products 2023, Milk and Dairy Products 2022, Milk and Dairy Products 2021, Milk and Dairy Products 2020, Milk and Dairy Products 2019, Milk and Dairy Products 2018, Milk and Dairy Products 2017, Milk and Dairy Products 2016, Milk and Dairy Products 2015, Milk and Dairy Products 2014, The statistics are used to describe the purpose of the statistics on milk and dairy products is to illuminate the size and value of the milk production on the farms and the use of milk for dairy products. The statistics on milk and dairy product have a long history and the key figures covering the past 100 years are comparable. The statistics in their present form are comparable from 1990 onwards., Statistical presentation, The statistics on milk and milk products are a monthly and annual estimate of the total milk production of farmers. The delivered amount of milk on the dairies and the dairies' primary use of the milk weighed in and the production of a variety of fresh and processed dairy products as drinking milk and cheese. The statistics also contain data on organic milk delivered to dairies and the production of organic whole milk products for human consumption, butter and cheese. Every month data are transfer to Euro stat. , Read more about statistical presentation, Statistical processing, Data is collected monthly on milk and dairy products. Data comes primary from administrative records. The data received is checked for completeness and consistency, as well as consistency with previous periods. , Read more about statistical processing, Relevance, The statistics is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts. Data on milk and dairy product are delivered every month to Euro stat. , Read more about relevance, Accuracy and reliability, It is compulsory for dairies to register and report the milk weighed on the dairies and the dairy production to the Central Milk Register. This is the basis for settlement to farmers, which is therefore expected to be measured accurately. The calculation of prices and values is based both on actual a conto prices and partly on estimates of the anticipated after payment, which is only realized after the end of the dairy year and can thus cause uncertainty about the accrual. The estimate of the consumption of milk at farms and consumption for feed is estimated after consultation with the Dairy Association., Foreslå en ændring, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every month. For a specific month it will be published 1½ month after the end of the month concerned. A more detail year statistics will be publish ½ year after the end of the year concerned. The statistics are usually published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, Long time series data can be compiled. Every month and year are delivered data to Euro stat. Similar data for some of the variables are available for the EU member states at Euro stats homepage., Read more about comparability, Accessibility and clarity, New month figures are published in Statbank , ANI71: Milk production and use of milk by unit (month), and yearly figures , ANI7: Milk production and use of milk by unit, . Annual figures are included in Statistical Yearbook and Statistical Ten-Year review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/milk-and-dairy-products

Documentation of statistics

Documentation of statistics: Retail Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Retail Trade, by Goods 2012 , Previous versions, The purpose of the analysis is to shed light on the turnover structures of retail trade. Surveys have been conducted for 1998, 2002 and 2007, and the results from which have been published in Statistical News, in the series Service Industry, 1999:24, 2003:65 and 2008:25, respectively., Statistical presentation, The statistics provide data on the structure of retail trade turnover, industry turnover breakdown by product groups as well as product group retail sales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Retail Trade. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within retail trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within retail trade, as the results may allow them to compare their own business to their sector of trade or the retail trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 1998, 2002, 2007 and 2012. Since the 1998 survey, changes have been made in both calculation method and industry and product group nomenclatures. , Comparisons across reference years should be done with caution and taking into that statistical nomenclatures and methods have changed., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the , StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade--by-goods--discontinued-

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Technical Testing and Analysis

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Technical Testing and Analysis 2023 , Previous versions, Business Services in the Sector for Technical Testing and Analysis 2019, Business Services in the Sector for Technical Testing and Analysis 2017, Business Services in the Sector for Technical Testing and Analysis 2015, Business Services in the Sector for Technical Testing and Analysis 2013, The purpose of the statistics Technical testing and analysis is to provide information on turnover and types of services in enterprises with Technical testing and analysis as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). , The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2003. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Technical testing and analysis. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector., The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every second year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-technical-testing-and-analysis

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: Public Funding for Cultural Purposes

Contact info, Science, Technology and Culture, Business Statistics , Isabel Maria dos Santos Cardoso , +45 61 50 11 61 , imc@dst.dk , Get documentation of statistics as pdf, Public Funding for Cultural Purposes 2025 , Previous versions, Public Funding for Cultural Purposes 2024, Public Funding for Cultural Purposes 2023, Public Funding for Cultural Purposes 2022, Public Funding for Cultural Purposes 2021, Public Funding for Cultural Purposes 2020, Public Funding for Cultural Purposes 2019, Public Funding for Cultural Purposes 2018, Public Funding for Cultural Purposes 2017, Public Funding for Cultural Purposes 2016, Public Funding for Cultural Purposes 2015, Public Funding for Cultural Purposes 2014, The purpose of the statistics Public Funding for Cultural Purposes is to provide a comprehensive overview of public funding for cultural purposes by collecting all data on public cultural budgets. Previously, the statistics was compiled by the Ministry of Culture and results were disseminated through the publication , Kulturpengene, . The statistics describes the magnitude and categories of the public funds for cultural purposes and has been compiled in this form since 2007., Statistical presentation, These statistics present annual accounts of the public funding for cultural purposes in DKK million by cultural domains, purpose, financing arrangement and financing type. The statistics detail the funds allocated by the central government and local authorities for purposes within the domain of the Ministry of Culture. Funds are allocated to cultural institutions, projects and individuals and are used for operating institutions, subsidies for specific activities and projects, scholarships, etc., Read more about statistical presentation, Statistical processing, Data on State funding is delivered by the Ministry of Culture. Data on municipal funding is drawn from Statistics Denmark's account of budgets of municipalities. Electronic data editing as well as manual checks of the results are performed by Statistics Denmark before publication. Results are compared to last year's results and the occurrence of new purposes are verified by the Ministry of Culture., Read more about statistical processing, Relevance, The statistics are relevant for private individuals, companies and public authorities as the basis for e.g. forecasts, analyzes, contract regulation, public and private planning purposes in the cultural field., Read more about relevance, Accuracy and reliability, Data for these statistics are derived from authorized and central sources such as the National Budget, Supplementary Funds Records and the municipal budgets. No uncertainty calculations are available, but the overall accuracy for state funds is considered to be very high and is reported annually by the Ministry of Culture. The municipal budgets are supplied from the municipalities’ own financial systems and are also considered to have very high reliability. If cultural appropriations in the municipalities fall outside the statistical definition of cultural purposes, they are not included in the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without delay. Data collection awaits endorsement of the Supplementary Funds Record by the Parliamentary Committee on the National Budget, which usually occurs in May of the fiscal year. Given a processing period of approximately two months, the annual statistics are expected to be available in August., Read more about timeliness and punctuality, Comparability, Statistics on the state funding are comparable to the National Budget publication from the Ministry of Finance. Media License Fees are detailed in the annual budget record on determination of the Media License Fees. Lotto funds for cultural purposes are itemized in the annual Supplementary Funds record on the allocation of Lotto funds for cultural purposes. For municipal funds, statistics are partially comparable with statistics from Statistics Denmark's Budgets of municipalities and regions. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Economy in the cultural field, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/public-funding-for-cultural-purposes

Documentation of statistics

Documentation of statistics: Real property taxes

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Real property taxes 2025 , Previous versions, Real property taxes 2024, Real property taxes 2023, Real property taxes 2022, Real property taxes 2021, Real property taxes 2020, Taxation of Real Property 2014, Taxation of Real Property 2013, The purpose of the statistics Property Taxation is to show the development in property taxes and their allocation to municipalities. The detailed property tax statistics has existed since 1937. Before 1937, property tax statistics was also published statistics on property taxation, albeit at a more aggregated basis. The current form of the statistics is comparable from 2007 and onwards., Statistical presentation, The statistics are a yearly overview of the Danish property taxation. The statistics show the distribution of property taxes to municipalities as well as type of tax (land tax and reimbursement duties). A weighted average is calculated for each region and the entire country. The statistics are published in the StatBank. , Read more about statistical presentation, Statistical processing, The statistics is based on data from the Danish Customs and Tax Administration. The system contains both valuation and tax data. The data is validated against last year's data and against budget figures for the given year, as well as information on which municipalities that has changed their land tax rate. Data are used without further treatment for the publication., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, The statistics have a few sources of uncertainty. The Danish Customs and Tax Administration’s property tax system is continuously updated with corrections. The public property valuations, which form the basis for calculating assessed property and land values, were frozen during the period 2013–2023, which is therefore a source of uncertainty. In 2024, a new property tax system was introduced, where taxes have primarily been collected based on provisional valuations. , Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November in the income year, where final data is published. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The census has been conducted since 1937, but changes in municipal and county compositions makes comparisons over time difficult. However, in its current form the statistics is comparable from 2007 and onwards. The taxation systems differ widely across countries, which makes the international comparison difficult based on national sources because of concept and calculation differences. The statistics is the basis for determining the property taxes in government finance statistics. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank the figures are published under , Real property taxes, . Information about the statistics can be found on the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Market Value for Households Real Estate

Contact info, Government Finances, Economic Statistics , Mikkel Bjerre Trolle , +45 29 36 68 25 , MIT@dst.dk , Get documentation of statistics as pdf, Market Value for Households Real Estate 2024 , Previous versions, Market Value for Households Real Estate 2023, Market Value for Households Real Estate 2022, Market Value for Households Real Estate 2021, Market Value for Households Real Estate 2020, Market Value for Households Real Estate 2019, Market Value for Households Real Estate 2018, Market Value for Households Real Estate 2017, Market Value for Households Real Estate 2016, Market Value for Households Real Estate 2015, This is the first publication of the households’ assets in real estate on individual level. The purpose is to follow the development of the households’ real estate. Sector delimitation of units in the sector of households is defined in European system of national accounts (ESA2010). From this it appears that sole proprietorships are a part of the households’ sector. Registers on individual level can be used for distribution analyses, e.g. in relation to income, financial liabilities or socioeconomic status., Statistical presentation, The statistics provides closing values for each year. The household’s real estate consisting of owner occupied dwellings and co-operative dwellings. All figures are reported in current prices. , Read more about statistical presentation, Statistical processing, Data from the various registers are merged through property identification and personal identification. There are made classifications, aggregations and calculation of the market value. For publication there is added relevant background information about the families., Read more about statistical processing, Relevance, The statistic has a lot of interested parties including ministries, politicians, organizations and the press.., Read more about relevance, Accuracy and reliability, The adjustment factor is the same within a geographic area, even though the actual sales value can vary a lot due to e.g. differences in the location of the owner-occupied dwellings (amenity), which are not reflected completely in the official real estate valuations. The preliminary year are dependent primarily on sales data for real estate. When the final year are calculated all of the sources are available. Experience from 2019 and 2020 shows that the preliminary year tends to underestimate the total market value of the final year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics i published with preliminary figures in march, 3 months after the reference date. Final figures is published a year later. One year and 3 months after the reference date., Read more about timeliness and punctuality, Comparability, The statistic is consistent over time. However, one must be aware that the figures are calculated at current prices. There is no knowledge of any individual based register of household wealth in real estate, which is comparable to the Danish. Figures for total household wealth in real estate are also published in the statistics concerning financial national accounts which is published in June and November., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Real estate, , and the , theme page, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/market-value-for-households-real-estate

Documentation of statistics

Documentation of statistics: Sickness benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , aom@dst.dk , Get documentation of statistics as pdf, Sickness benefits 2024 , Previous versions, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., Read more about comparability, Accessibility and clarity, These statistics are published 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 , Sickness benefits, . For further information, gp to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Old Age Pension and Disability Pension

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Old Age Pension and Disability Pension 2025 Month 01 , Previous versions, Old Age Pension and Disability Pension 2024 Month 10, Old Age Pension and Disability Pension 2024 Month 05, Old Age Pension and Disability Pension 2024 Month 04, Old Age Pension and Disability Pension 2024 Month 03, Old Age Pension and Disability Pension 2023 Month 01, Old Age Pension and Disability Pension 2022 Month 01, Old Age Pension and Disability Pension 2021, Old Age Pension and Disability Pension 2020 Month 01, Old Age Pension and Disability Pension 2019 Month 01, Old Age Pension and Disability Pension 2018 Month 01, Old Age Pension and Disability Pension 2017 Month 01, Old Age Pension and Disability Pension 2016 Month 01, Old Age Pension and Disability Pension 2015 Month 01, Old Age Pension and Disability Pension 2014 Month 01, The purpose of the statistics "Old age and disability pension" are to measure the number of recipients of old age pension or disability pension and the average benefit. The statistics include recipients living abroad. The statistics are consistent from 2009 and onwards. However from 2021 it is available for all months., Statistical presentation, The statistics quarterly describe the number of recipients of old age pension, senior pension, disability pension or early retirement pension, recipients share of the identical population group as well as the average benefit. Old age pension and disability pension are shown separately and are broken down into sex, age, type of benefits, family type and geography. , Read more about statistical presentation, Statistical processing, The statistics are based on complete administrative registers. Data are checked for consistency and at aggregate level compared to data from previous years., Read more about statistical processing, Relevance, The main users are municipalities, ministries and organisations such as Ældre Sagen and ATP. The statistics contain information on the financial living condition of pensioners. Also, data provide the opportunity to estimate the financial effect of changes in legislation. , Read more about relevance, Accuracy and reliability, All recipients of old-age pension and disability pension under the legislation covered, both residents in Denmark and abroad based on Udbetaling Danmarks register. There may be errors and duplicates in the registry that are removed, but it affects less than 0.01 per cent. of the persons to whom money is paid., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in April, July, November and January. The statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, Changes in legislation including changes in the retirement age from 2004 to 2007 and again from 2019 to 2022 affect the number of pensioners. From 1993 to 1994 the old age pension became taxable and increased significantly. A high degree of consistency with similar figures based on the income register or similar statistics in other Nordic countries is expected., 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 the subject , Old-age pensioners and disability pensioners, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/old-age-pension-and-disability-pension

Documentation of statistics