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    Documentation of statistics: Research Education

    Contact info, Population and Education, Social Statistics , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, Research Education 2025 , Previous versions, Research Education 2024, Research Education 2023, Research Education 2022, Research Education 2021, Research Education 2020, Research Education 2019, Research Education 2018, Research Education 2017, Research Education 2016, Research Education 2015, Research Education 2014, Research Education 2013, The aim of the statistics on PhD-students is to show the volume of PhD-education. Furthermore it gives information on the progress of the education and the subjects of the project. Data are comparable since mid-eighties which is as long the PhD education has existed in Denmark., Statistical presentation, The statistics gives information on numbers of PhD-students and numbers of PhD-graduates at institutions approved to offer PhD-educations in Denmark. The statistics gives information on the progress of the education, under here schemes and special arrangements, periods of leave, and study periods spent abroad. The statistics also gives information on the subjects of the project and on sources of financing. The statistics also covers doctorate granted after §15,2, according to this paragraph a doctorate can be granted based exclusively on a positive evaluation of a thesis without participation in an education., Read more about statistical presentation, Statistical processing, The statistics is based on reports from all Danish institutions approved to offer PhD-educations. The data collection covers the total population. The reported data from each respondent is examined carefully. The examination is concentrated on missing data for each respondent. It is also checked if consistent information are reported for each student. Data reported from a university is furthermore compared to data for previous time periods. , In case of missing data or unexpected trends the respondent is contacted for verification of the reported data., Read more about statistical processing, Relevance, These statistics are relevant for Ministries, Universities, Public service, Business organizations, Media and Researchers, for research and analyses. The statistical data are also used in other areas within Statistics Denmark as education statistics are relevant in many contexts. , Read more about relevance, Accuracy and reliability, The statistics are based on a complete enumeration in which all universities and other institutions authorised to offer PhD programmes report data. The statistics cover PhD students and awarded PhD degrees at Danish institutions but do not include doctoral degrees obtained abroad. The core information on the number of PhD students and the number of awarded PhD degrees is based on extensive error checking and there are no significant missing reports. Information on the main field of study is based on institutional affiliation and may in some cases be affected by organisational changes at the universities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately five months after the end of the reference period. In some cases, the release date may be adjusted if reports are received late or if additional data validation and processing are required. The statistics are thereafter published on time in accordance with the announced release date in the release calendar., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time for the core variables relating to PhD students and awarded PhD degrees, as the population and main definitions have been consistent since 1996. Information on main fields of study may in some years be affected by changes in the organisational structure of universities; such changes have been addressed through recoding to preserve the time series. The statistics are comparable with international statistics on PhD programmes but differ from statistics on the educational attainment of the population in countries where individuals with PhD degrees obtained abroad are included., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , PhD programmes, . For further information, go to the , subject page, . Tailor-made statistics is available via , DST Consulting, . Micro-data is accessible via Statistics Denmark's , Research Services, Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/research-education

    Documentation of statistics

    Historical national accounts

    Tables of Historical National Accounts comprise two different types of National Accounts figures. Backcast figures which are consistent with the latest compilations, and obsolete published figures, which shed light on the available National Accounts figures for the observers, of bygone periods, of their contemporaneous economy. , Introduction, The most important descriptive tool of the macroeconomy of, say, Denmark is the current compilations of the National Accounts, henceforth abreviated as Statistics Denmarks current National Accounts., This page covers two different meanings of ”Historical National Accounts”:, backcast National Accounts figures, which are consistent the figures of the current National Accounts, but covers previous periods, and, obsolete published figures of the National Accounts, meaning figures which, for different reasons, partly or wholly are not consistent with the current National Accounts from Statistics Denmark., Why are both interesting?, Backcast National Accounts figures are interesting because, they extend the consistent description of the Danish economy backwards in Time, further than the current National Accounts figures go. These extended figures help us see the business cycles (the aggregate motion of the economy) over the longer term., Obsolete published figures of the National Accounts are interesting for those who would like to understand how observers were able to view the economy of their own times, e.g. from the 1950’ies and 1960’ies, of the 1940’ies and 1950’ies., What is the difference?, Very briefly differences are accounted for by three factors: compilation manuals, the division of labour in the organization of the World’s production, and the coverage of available statistics., From the first modern sets of National Accounts figures emerged in the 1930’ies and 1940’ies much research has been conducted and conceptual refinement has found their way into the international compilation manuals from organizations, like United Nations (UN) and the OECD. These changes of the basic manuals, changes in the organization and distribution of productive activities across national boundaries (e.g. the increasing globalisation of production) has changed details of even fundamental concepts like Gross Domestic Product (GDP; in Danish: bruttonationalproduktet, BNP)., Economic-political data requirements for a more precise description of the Danish economy’s structures and dynamics increased historically the means with which to provide important improvements in the systematic statistical coverage of areas such as business statistics and labour market statistics., These three factors combined changes the requirements of and the ability to provide a more precise description of the economy. For this reason the published figures of different compilation regimes, of overlapping years, are usually different even for the exact same years., To gather what is similar, and separate what is different, we har introduced the somewhat technical term ”National Accounts compilation regimes”, here anre elsewhere abreviated ”NA-regimes”, or ”compilation regimes”., Previously published figures and descriptions from the Danish National Accounts have revealed 19 different NA-regimes, from the first was published in December 1945, until the lastest, the current, which started in 2016., Introduction to key the concepts Gross Domestic Product (GDP; in Danish: bruttonationalprodukt, BNP), Gross National Income (GNI; in Danish: bruttonationalindkomst, BNI) and Gross Domestic  Product in factor prices (in Danish: bruttofaktorindkomst, BFI) may be found elsewhere on pages concerning the Danish National Accounts., Documentation, Published figures of the Danish National Accounts are divided into 19 separate, official compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, NR1945, Statistiske Efterretninger 1945:52, d. 14. december, Statistiske Meddelelser 4/129/5, 1948, NR1948, Statistiske Efterretninger 1948:25, d. 11. juni, NR1951, Statistiske Meddelelser 4/140/2, 1951, NR1955, Statistiske Meddelelser 4/160/2, 1955, NR1960, Statistisk oversigt 1948-1959, udgivet 1960, samt Statistisk årbog 1960, udgivet 1961, NR1962, Statistiske Undersøgelser 7, 1962, NR1965, Statistiske Efterretninger 1965:59, d. 15. dec., NR1972, Statistiske Efterretninger 1972:79, d. 20. dec., NR1978, Statistiske Efterretninger 1978:A20, d. 29. august,, Statistiske undersøgelser nr.30 og 31, 1973, NR1981, Statistiske Efterretninger 1981:A30, d. 22. september, ”National­regnskabsstatistik 1966-1981”, udgivet 1983, NR1984, Statistiske Efterretninger 1984:18, d. 23. december, ”National­regnskabsstatistik 1983”, udgivet 1985, NR1995, Statistiske Efterretninger 1995:12, d. 19. juni, ”National­regnskabsstatistik 1994”, udgivet 1996, NR1997, Statistiske Undersøgelser 46, 1997, NR2000, Statistiske Efterretninger 2000:03, d. 13. april, ”National­regnskabsstatistik 1999, Aprilversion”, udgivet juni 2000,, ”Nationalregnskab ENS95. Makroøkonomiske tidsrækker 1966-1997”, udgivet 2001., NR2005, Statistiske Efterretninger 2005:08, d. 26. juli”, ”National­regnskabsstatistik 2003”, udgivet september 2005, NR2009, Statistiske Efterretninger 2009:15, d. 09. nov., ”National­regnskab 2008”, udgivet januar 2010, NR2011, Statistiske Efterretninger 2011:11, d. 15. september, ”National­regnskab 2010”, udgivet februar 2012, NR2014, ”Nationalregnskab og offentlige finanser, ESA 2010, Hovedrevision 2014”, udgivet september 2014, Statistiske Efterretninger 2014:13, d. 22. december, NR2016, , det aktuelle, Statistiske Efterretninger 2016:11, d. 15. nov., In addition there is a half-official compilation regime:, Name of compilation regimes, Main release vehicle (-s), in Danish, BU1958, Kjeld Bjerke og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Kbh., 1958. Udsendt af Statistisk Departement sammen med Københavns Universitet, Økonomisk Institut., and some unofficial compilation regimes:, Name of compilation regimes, Main release vehicle (-s), in Danish, SH1983, Svend Aage Hansen: , Økonomisk vækst, , bind II, Akademisk forlag, Kbh., 3.udg., 1983. Publikation nummer 6 fra Københavns Universitet, Institut for Økonomisk Historie., En meget anvendt kilde, med talrækker til 1818. Kan betragtes som en tilbageføring af NR1962, med en videreføring ved NR1965 og NR1972., SL2010, Larsen, Hans Kryger; Søren Larsen og Carl-Axel Nilsson: ”Landbrug og industri i Danmark 1896 -1965. Nye beregninger af bfi inden for de varefremstillende sektorer”, , Historisk Tidsskrift, , bind 110, nr.2, 2010. Siderne 358-401.  , Her anvendes alene tallene for 1947-1965, der skyldes Søren Larsen. En tidligere version af disse tal for 1947-1965 har været indarbejdet i visse af den økonomiske model ADAMs databanker, som tilbageføring af NR1984., Five main publications of obsolete sets of National Accounts figures, in addition to access to the figures of their tables: , Bjerke, Kjeld, og Niels Ussing: , Studier over Danmarks nationalprodukt 1870-1950, , Statistisk Departement og Københavns Universitets Økonomiske Institut, G.E.C Gads forlag, 1958. Due to unresolved intellectual property rights we are presently unable to provide this as a pdf-document., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1930-1946, , Statistiske Meddelelser 4. række, 129. bind, 5. hæfte, 1948., Statistisk Departement: , Nationalproduktet og Nationalindkomsten 1946-1949, , Statistiske Meddelelser 4. række, 140. bind, 2. hæfte, 1951., Statistisk Departement: , Nationalindkomsten 1938 og 1947-54, , Statistiske Meddelelser 4. række, 160. bind, 2. hæfte, 1955., Statistisk Departement: , Nationalregnskabsstatistik 1947-60, , Statistiske Undersøgelser nr.7, 1962., Zip-files with table contents as MS-Excel-spreadsheets, Tabelindhold - Studier over Danmarks nationalprodukt 1870-1950 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1930-1946 (zip), Tabelindhold - Nationalproduktet og Nationalindkomsten 1946-1949 (zip), Tabelindhold - Nationalindkomsten 1938 og 1947-54 (zip), Tabelindhold - Nationalregnskabsstatistik 1947-60 (zip),  , Key figures,   , Related content in Historical national accounts, Tables in Statbank , Scheduled releases , Contact, Michael Osterwald-Lenum, Phone: +45 20 57 01 29, Mail: , mol@dst.dk

    https://www.dst.dk/en/Statistik/emner/oekonomi/nationalregnskab/historisk-nationalregnskab

    Subject page

    Shelters and care homes

    How many people stay in shelters or in care homes? Find information about the age and gender of the individuals, the number of stays and the duration of the stays., Persons in shelters and care homes, See the number of people staying in shelters and care homes distributed by age., In Statbank Denmark, you can find more data on Persons in shelters (HERFOR1), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, Persons in shelters and care homes by gender, See the distribution of gender for individuals staying in shelters or care homes., In Statbank Denmark, you can find more data on Persons in shelters (HERFOR2), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, Duration of stays in shelters and care homes., See the number of days that individuals stay in a shelter or in a care home., In Statbank Denmark, you can find more data on Stay in shelters (HERFOR3), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, Age and gender of the individuals in shelters and care homes, See the distribution of age and gender., In Statbank Denmark, you can find more data on Persons in shelters (HERFOR2), More about the figure, Last update, 26.6.2025, Next update, 24.6.2026, Source data, Each quarter, the individual accommodation reports data concerning the users who are enrolled or discharged from the accommodation facility. The statistics include all registered stays of a user during the year. , Data are collected from 117 shelters in 2024 (There are 117 unique propositions within section 110 in 2024 cf. Tilbudsportalen). Accommodations that are covered by the statistics must report enrollment and discharges. In addition, at the enrollment information is obtained on where the user stayed lately, and what type of stay it was according to shelters by section 110. In regards to the discharge, question about how the discharge took place and where the user was discharged to is asked. The collected data are linked to information from the population register in Statistics Denmark., Read more about sources, method and quality in the documentation of statistics on Shelters, On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Shelters, 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. , Read more about sources, method and quality in the documentation of statistics on Shelters, Need more data on Shelters and care homes?, For more information, see StatBank, where you can find detailed data on e.g. about the number of stays pr. person., Go to the StatBank, Contact, Bosted, Phone: +45 39 17 38 10, Mail: , bosted@dst.dk

    https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette/herberger-og-forsorgshjem

    Subject page

    Documentation of statistics: Registered unemployment

    Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Registered unemployment 2024 , Previous versions, Registered unemployment 2023, Registered unemployment 2022, Registered unemployment 2021, Registered unemployment 2020, Registered unemployment 2019, Registered unemployment 2018, Registered unemployment 2017, Registered unemployment 2016, Registered unemployment 2015, Registered unemployment 2014, The purpose is to produce statistics monitoring the structure and trends in the unemployed population and the causes of unemployment. The statistics are compiled on the basis of registers. The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. As from the publication of unemployment statistics for January 2010, attention is now focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. From the 12. of October 2022 and onwards the gross unemployment statistics are expanded with a monthly unemployment indicator published 10-12 days after the end of the reference month., Statistical presentation, The register based unemployment statistics (gross- and net-unemployed) provide monthly data on the unemployed population registered with the unemployment insurance funds and with the public job centres. The statistics comprise all unemployed persons insured against unemployment and non-insured persons who are available for work and at the same time claiming cash benefits under the Danish Social Assistance Act. The statistics are shown by municipality, sex, age group, type of benefit, unemployment insurance funds, country of origin and level of education. , Read more about statistical presentation, Statistical processing, All the data is collected from administrative registers. After receiving the data we make a data validation and a harmonization before entering the data into our oracle-database for further data processing, including an elimination of illegal 'overlapping' data. From the 12. of October 2022 and onwards we receive early register based information from the Danish labour market authority (STAR) to estimate an early unemployment indicator figure 10 to 12 days after the end of the reference month. , Read more about statistical processing, Relevance, Users: Municipalities, regions, ministries, job centers, organizations, international organizations, the media, private business enterprises, and private individuals., Fields of application: Public and private structural analyses and trade cycle surveys, educational purposes and public debate., There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, for instance by the media, has always been considerable., Read more about relevance, Accuracy and reliability, The statistics comprise all unemployed persons above 16 and until they reach their official retirement age. Only persons registered as recipients of unemployment benefits or social assistance/initial assistance are covered by the statistics. Persons who do not receive social assistance or unemployment benefits are thus excluded from the statistics on unemployment, although they are registered with the public job centres. It is impossible to give a single figure on the statistical accuracy, but apart from the circumstance that a person must receive unemployment benefits or social assistance in order to be registered as unemployed, the accuracy of the statistics is relatively high., From the 12. of October 2022 and onwards the gross unemployment statistics is expanded with a monthly unemployment indicator published 10-12 days after the end of the reference month. In a test period of 11 months the new indicator has estimated the following official gross unemployment total within 1.000 unemployed persons., Read more about accuracy and reliability, Timeliness and punctuality, The monthly unemployment indicator is published 10-12 days after the end of the reference month, the monthly unemployment statistics is published roughly 28 days after the end of the reference month, the quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact official release dates are always published a year ahead., Read more about timeliness and punctuality, Comparability, The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. To avoid a great number of discontinuities of the data series, the statistics have roughly speaking remained unchanged since 1979. However, the unemployment statistics have been adjusted as from the publication of unemployment figures for January 2008. The underlying primary data have been edited and changes have been made to the concept of unemployment, which imply that the Danish concept of net unemployment is now closer to the definition of unemployment applied by the International Labour Office, ILO, see item 3.1. All changes have been made back to April 2000. As from the publication of unemployment statistics for January 2010, attention is now also focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. When the register based unemployment statistics depends on a number of national administrative registers it is not a good statistics for international comparisons. For international comparisons of unemployment you ought to use the unemployment figures from the labour force surveys in the different countries instead., Read more about comparability, Accessibility and clarity, Monthly publications: Nyt fra Danmarks Statistik (News from Statistics Denmark) and Statistikbanken (Stat bank Denmark). Quarterly publications: Statistikbanken (Stat bank Denmark). Annual publications: Statistisk Tiårsoversigt (Statistical Ten-Year Review) and Statistikbanken (Stat bank Denmark). From the 12. of October 2022 and onwards the gross unemployment statistics will be expanded with an early monthly unemployment indicator published in Nyt fra Danmarks Statistik (News from Statistics Denmark) and Statistikbanken (Stat bank Denmark)., You find more information on: , Unemployment, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/registered-unemployment

    Documentation of statistics

    Indexation

    What is indexation? Are you required to adjust amounts in a contract according to an index? What has been the price increase for, for example, building materials? How much has the salary increased? Find a list of the most requested indices for contract, price, and salary adjustment and read more about how to use price indices for adjustment., What is indexation?, Indexation is a way of adjusting prices and values to align with changes in an industry or the economy in general. This is done by using a predetermined index that measures the price level of goods and services over time., How to use price indices for adjustment (pdf),  , Most popular indices for adjustment of contracts, prices and wages, Consumer price index and Net price index, The annual change in the consumer price index is used as a measure of inflation. Learn more about the index on the subject page , Consumer price index, . Use our , Price calculator , to compare prices from previously with today and see how the price level has developed over the years., The Net Price Index shows the development in actual consumer prices minus taxes and duties. The index is especially used by businesses for the adjustment of contracts and lease agreements., Learn more about the index and see our price calculator on the subject page , Net price index, . , In , Statbank Denmark, , you will find the following monthly indices by commodity group:, Consumer price index by commodity group, (PRIS111), Net price index by commodity group, (PRIS114), Indices for the construction sector, Introduction to each index and the latest published figures can be found on the subject page , Indices for the construction sector, ., For a comprehensive overview of all indices within the construction and civil engineering sector, please refer to , Statbank Denmark, ., Here is a selection of the most commonly used indices:, Construction cost indices for civil engineering projects, (BYG62), The index is calculated for the following categories: Earth work, Asphalt work, Concrete structures, Iron and steel structures, as well as sub-indices for Traffic performance by lorries and Materials and machinery. Additionally, an index for road construction is published, which is a composite of the indices for earth work, asphalt work, and concrete constructions., Construction cost index for residential buildings, (BYG43), The index is broken down into seven sub-indices by profession and six sub-indices by building parts. Both the total index and sub-indices are divided into material costs and labor costs., Producer price index for construction of dwellings, (PRIS90), The index show trends in prices in the first stage of commercial transactions for the construction, i.e., the transaction carried out between the construction company and the builder. The index describes the price of constructing dwelling, i.e. the price a household or a developer pays the construction company, e.g. a producer of turn-key houses, for the construction of a dwelling., Producer price index for renovation and maintenance, (PRIS91), The index reflects the price developments for the production of refurbishment and maintenance services, i.e the price the household pays a company to perform a standard refurbishment and maintenance task. I.e. a carpenter changing a window frame., Producer and import price index for commodities, Shows the price development of goods relating to the first commercial transaction (business-to-business). Primarily used for fixed-price calculations, it also serves as an economic indicator and for contract regulations in the business sector., The latest published figures can be found on the subject page , Producer and import price index for commodities, . An overview of all producer and import price indices for goods can be found in , StatBank Denmark, ., Here is the most commonly used indices:, Overall producer and import price index for commodities, (PRIS4321), Shows the total price development in the first stage of turnover for commodities produced in Denmark, as well as commodities imported into Denmark. The index includes production for the domestic market and exports, where the prices are sales prices before taxes and duties, as well as imports into Denmark, where the prices are purchase prices, including transport, before taxes and duties. , Price index for Domestic Supply by commodity group, (PRIS1121), Shows the total price development in the first stage of turnover (business-to-business) for commodities used in Denmark. It includes commodities produced for domestic market and imported commodities. , Producer price index for services, Introduction to the index and the latest figures can be found on the subject page , Producer price index for services, ., In StatBank Denmark, you can find:, Producer price index for services, (PRIS1521), Shows the price development in the first stage of commercial transaction of services, i.e. producers' selling prices to other producers (business to business), for the domestic market and export., Indices of average earnings, There are two types of wage indices: “The standardised index of average earnings" and "The implicit index of average earnings". The difference is described in the “Documentation of statistics”, section , “Coherence - cross domain” , Internationally, the implicit index of average earnings can be compared to the labor cost index collected and published by Eurostat for all EU countries., An overview of all wage indices can be found in , StatBank Denmark, . , Here is a selection of the most commonly used indices:, Standardised index of average earnings, Standardised index of average earnings by industry and sector, (SBLON1), Standardised index of average earnings by occupation and sector, (SBLON2), Implicit index of average earnings, The implicit index of average earnings will be discontinued on 27 February 2026 with the publication of Q4 2025. We refer users to the standardised index of average earnings instead. To help you handle the transition from the implicit to the standardised index of average earnings, we have prepared a guide (in Danish)., Guide-skift til standardberegnet loenindeks, Implicit index of average earnings in corporations and organizations, (ILON12), Implicit index of average earnings in the public sector, central government, (ILON22), Implicit index of average earnings in the public sector, local government , (ILON32) ,  ,  

    https://www.dst.dk/en/informationsservice/oss/indeksregulering

    Health and diseases

    How many are suffering from various diseases? And how many go through surgery?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Where can I get a general overview of the population health?, The Danish Health Authority and the National Institute of Public Health (NIPH) are behind the National Health Profile, which includes e.g. data on health behaviour, weight, self-assessed health and morbidity:, The most recent publications on the national health profile is ", Danskernes sundhed - Den nationale sundhedsprofil 2021, " and the mid-term survey ", Danskernes sundhed 2023, " (in Danish), Results from the surveys 2010, 2013, 2017, 2021 and 2023 are available in the database , "Danskernes Sundhed”,  (in Danish), Figures from 1987, 1994, 2000 and 2005 are available in the health and morbidity report ", Sundhed og sygelighed i Danmark 2010, “ (in Danish), The National Institute of Public Health (NIPH) has , publications,  on health-related population surveys as well as special analyses based on these surveys., How often and how are we in contact with the health authorities?, On Statistics Denmark’s , subject page on health,  and in , StatBank Denmark, , you can find tables on visits to physicians, admissions to hospital, bed days etc., How many are suffering from various diseases?, The Danish Health Data Agency is responsible for the National Health Registers and also publishes figures and analyses on i.a. eating disorders, dementia, schizophrenia, autism, epilepsy, osteoporosis, COPD, cancer, diabetes and fertility treatments., Read about the , National Health Registers, Figures and analyses on , Sygdomme og behandlinger, Diseases and treatments - in Danish), At the request of the Danish Health Authority, the National Institute of Public Health (NIPH) has carried out a major study of , the burden of disease in Denmark, . In February 2023, updated versions of the reports on diseases and risk factors were published., "Sygdomsbyrden i Danmark - Sygdomme, " , This report (in Danish) compares a number of disease groups - different types of cancer, diabetes, depression, anxiety, schizophrenia, dementia, ischemic heart disease, apoplexy, Chronic Obstructive Pulmonary Disease (COPD), pain in the neck and lower back, osteoarthritis and alcohol-related morbidity based on various parameter, s such as prevalence, mortality, treatment, sickness absence, premature retirement, health economics and loss of production, "Sygdomsbyrden i Danmark - Risikofaktorer, ", This report (in Danish) deals with health risk factors, and looks into selected consequences of smoking, alcohol, physical inactivity, sleep disorders, loneliness, unhealthy diet, , severe obesity and air pollution, ", Sygdomsbyrden i Danmark: Ulykker, selvskade og selvmord, " , This report (in Danish) on accidents, self-harm and suicides was published in 2017, In September 2023, 'Local Government Denmark' (KL) published an analysis (in Danish) of the prevalence of seven chronic diseases: asthma, type 1 and type 2 diabetes, osteoporosis, COPD, rheumatoid arthritis and dementia. The analysis also looks at 'multi-disease' - the occurrence of at least two of the mentioned chronic diseases at the same time:, Kronisk sygdom i befolkningen, ("Chronic disease in the population" - in Danish), Other data sources on various diseases:, Cancer, Detailed statistics on cases of cancer are available via , Cancerregisteret,  and the database,  of the Danish Health Data Authority, , Sundhedsdatabanken, (in Danish), Asthma, dementia, diabetes, COPD, rheumatoid arthritis, osteoporosis and schizophrenia, The Danish Health Data Agency is also behind a register on , Udvalgte kroniske sygdomme og svære psykiske lidelser, (in Danish), Chlamydia, gonorrhoea, syphilis, HIV/AIDS and other infectious diseases , These are monitored by , Statens Serum Institut,  (SSI). This monitoring can also be followed in,  , figures, graphs and maps, at SSI (in Danish), Coronavirus / COVID-19, Statens Serum Institut (SSI) publish current and historical figures on , COVID-19,  8in Danish), How many go through surgery?, The Danish Health Authority publish , statistics on , selected plastic surgery procedures, (in Danish) and , surgery procedures for obesity, (in Danish), Other , operations , can be extracted from the National Patient Register using an advanced extraction tool, which is particularly targeted at users from the health sector or with a good understanding of data (in Danish), How many donate organs and how many transplants are performed?, At Danish centre for organ donation “Dansk Center for Organdonation” you will find information on , organ donation and organ transplantation, (in Danish) - including number of organ donors and waiting lists. In addition, , statistics on the organ donation area, are published regularly (in Danish), ScandiaTransplant has tables on performed , transplantations and waiting list figures,  for the Nordic countries., How extensive is the consumption of medicines? , Statistics Denmark has statistics on the sale of prescription drugs, which are coupled with information on the users' gender, age, geography, education and origin. See , News-articles, (in Danish) and tables in the , StatBank Denmark, The Danish Health Data Authority is responsible for the register of medicines statistics , Lægemiddelstatistikregisteret, (in Danish), which holds information on all sales of medicines in Denmark. Among other things, the register is used for analyses of the consumption of e.g. , antibiotics, medical cannabis and ADHD medication (in Danish), In the database , Medstat.dk, , you can create tables of the annual sales of medicines. Here you can also search using groups of medicines, ATC codes or product names, but NOT popular designations such as happy pills., Danmarks Apotekerforening,  is a Danish association of pharmacists, which publishes a yearbook “Lægemidler i Danmark” (in Danish) on medicines in Denmark and various analyses regarding the use of medicine., See also, For mental disorders, see FAQ on , Stress and mental health disorders, For the mental health of children and young people, see FAQ on , Stress and mental health disorders,  , [This page was last reviewed in January 2025]

    https://www.dst.dk/en/informationsservice/oss/sygdomme-og-diagnoser

    Documentation of statistics: Road Traffic Accidents

    Contact info, Population and Education, Social Statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , JKP@dst.dk , Get documentation of statistics as pdf, Road Traffic Accidents 2021 , Previous versions, Road Traffic Accidents 2020, Road Traffic Accidents 2019, Road Traffic Accidents 2018, Road Traffic Accidents 2017, Road Traffic Accidents 2015, Road Traffic Accidents 2014, Road Traffic Accidents 2013, The purpose of the statistics is to collect and publish information on road traffic accidents in order to create a basis of knowledge for making decisions that can reduce the number of road traffic accidents and the consequences thereof. The statistics on road traffic accidents originate from 1 January 1930. The source of the statistics has until 1 January 2003 been the temporary and final reports from the police. From this date Statistics Denmark only receives an annual extract from the Road Directory with the police's final reports. Apart from this, the most fundamental alterations that have been introduced concern the classification of accidents, the scope of the statistics and the actual reporting procedures., Until 1938, the classification of accidents was not unambiguous. From 1938 to 1966, accidents were categorized according to the main cause of the accident, which was determined by a legal judgement. From 1967 onwards, this judgement has been replaced by a classification of the accident, which is not based on the concept of blame, but on the actual description of the circumstances surrounding the accident., From 1930 to 1958, the statistics included accidents resulting in personal injury as well as damage to property. Since 1958, accidents involving only damage to property are no longer covered by the statistics, and from 1967 accidents involving only pedestrians are no longer covered either, whether the accident resulted in a casualty or not., Up until and including 1975, the police reports were sent straight to Statistics Denmark. In 1976, the reporting system was expanded, so that the highway authorities in counties and municipalities take part in the reporting by locating the accidents. As from November 1997 and up to and including April 2000, a new system of computerized reporting was gradually introduced in the police., Since 1 January 2003 the police reports have been sent to the Road Directorate from whom Statistics Denmark receives an annual extract., Statistical presentation, The statistics on road traffic accidents illustrate the extent and the nature of all accidents involving casualties, who are known by the police. The information on road traffic accidents is classified into three main groups: information about the accident, information about the element (vehicles, pedestrians and obstacles) and information about the person., Read more about statistical presentation, Statistical processing, Annual extract from the Road Directorate, Road Accident Information System with information for all accidents with injured., The data is checked for errors. Only few corrections is made. No seasonally adjustment is made., Read more about statistical processing, Relevance, National users: Ministries (primarily the Ministry of Traffic), the police districts, the highway authorities in counties and municipalities, organizations, research centers, the education system and private persons., Eurostat: The register is made anonymous and sent to Eurostat, as input for the Community Database on Accidents on the Roads in Europe (CARE)., Area of application: Local and central planning aimed at reducing road traffic accidents, education, research and public debate., Read more about relevance, Accuracy and reliability, A general problem concerning the road traffic accident statistics is that they do not include accidents involving casualties, which are not reported to the police. The severity of the accident and the mode of transport are factors, which influence whether the police are involved. Examinations - pooling with the Register of Causes of Death and with registries of casualty award visits and hospital admissions caused by road traffic accidents - have proven that almost all accidents involving deaths are reported. Accidents involving serious personal injury are more frequently reported than accidents involving only slight injuries. Furthermore, accidents involving cars are more frequently reported than accidents involving bicycles and mopeds. In average only 20 per cent of the casualties come to the knowledge of the police. Results of the pooling with registries of casualty award visits can be found in the table MOERKE in , Statbank, ., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date - ult. June after the year after., Read more about timeliness and punctuality, Comparability, These include changes in the registration of road traffic accidents resulting in inconsistencies of data as well as the introduction of new variables. Since 1958, accidents involving only damage to property have been omitted from the statistics. In January 1967, the definition of road traffic accident involving casualties was changed to include only accidents involving at least one vehicle. This leaves out accidents involving only pedestrians. From January 1967, the classification of accidents according to main and secondary causes was changed to a classification according to the accident situation, based on an objective evaluation of the course of events leading up to the accident. In January 1981, the definition of slightly injured was changed. Minor bruises, scrapes and the like are no longer considered as slight injuries. In January 1983, the structure and contents of the statistical system were changed. New parameters - e.g., cycle paths, collision point, maneuver concerning the element record, and on driving license and moped license - were introduced. From January 1997, individuals who are admitted to hospital for observation due to concussion should be registered as slightly injured in cases where the diagnosis does not turn out to be concussion of the brain., Legal changes, such as the introduction of and changes to speed limits and limits for level of alcohol in the blood, and requirements concerning the use of seat belts, helmets, child seats, lights, etc., can influence the overall development in the road traffic accident statistics., Read more about comparability, Accessibility and clarity, Statistics appear in:, News from Statistics Denmark., Annual publications: , Statistical Yearbook, Statistical 10-Year Review, and , Færdselsuheld, (Road Traffic Accidents)., Statbank, .Transport, Traffic accidents: UHELD1, UHELDK1, UHELD2, UHELDK2, UHELD3, UHELD4, UHELD5, UHELD6, UHELD7, UHELDK7, UHELD8, UHELD9, UHELD10, UHELD11, UHELD12, UHELD13, MOERKE., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-traffic-accidents

    Documentation of statistics

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

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

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

    Documentation of statistics