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Publication: Greenhouse Gas Emissions from the Danish Economy

Temapublikationen handler om udslippet af drivhusgasser fra dansk økonomi og findes kun på engelsk. Den er baseret på Danmarks Statistiks miljøregnskab., Formålet med , Greenhouse Gas Emissions from the Danish Economy, er at beskrive de udslip af CO2 og andre drivhusgasser, som er forårsaget af danske økonomiske aktiviteter., Publikationen beskriver omfanget af udslip fra erhvervslivet og husholdningerne. Desuden indeholder publikationen en række resultater om, hvad udviklingen i dansk økonomis struktur og den økonomiske vækst har betydet for udviklingen i udslippet af drivhusgasser., Al information om udslippene er knyttet til det danske nationalregnskab og de såkaldte input-output-tabeller gennem fælles klassifikationer og definitioner. Sammenknytningen muliggør, som det er vist i publikationen, analyser af samspillet mellem økonomiske aktiviteter og miljøet., Konklusioner, Udledningen af drivhusgasser fra dansk økonomi var 130 mio. tons i 2007, når udslippene omregnes til CO2-ækvivalenter. CO2 er den vigtigste drivhusgas og udslippet af CO2 alene udgjorde 117 mio. tons svarende til 21 tons pr. dansker., Opgørelsen inkluderer såvel udslip fra international sø- og lufttransport som udslip fra biomasse anvendt som brændsel. Hvis sidstnævnte udelades, og principperne bag indberetningen til Kyoto-protokollen anvendes, kan det danske udslip af drivhusgasser opgøres til 66 mio. tons, hvoraf CO2 alene bidrager med 52 tons. Det svarer til 10 tons pr. dansker. Således er det kun halvdelen af udledningen af drivhusgasser fra danske økonomiske aktiviteter, der er omfattet af Kyoto-protokollen., Fra 1990 til 2007 steg det danske bruttonationalprodukt (BNP) i faste priser med 40 pct. Mens de samlede CO2 udslip, inklusive udslippene fra international transport, steg endnu mere, er den økonomiske vækst og udslippene for de fleste erhverv ikke længere tæt forbundet. Hvis udslippene fra international transport fraregnes, var stigningen i CO2 udslippene kun 8 pct. Og hvis også udslip fra anvendelsen af biomasse freregnes, var der et fald i udslippene på 4 pct., Se flere konklusioner i , Nyt fra Danmarks Statistik, ., Presentation of the publication in English, The purpose of this publication which is based on Statistics Denmark's Environmental Accounts for Denmark, is to describe the emissions of greenhouse gases caused by Danish economic activities., The publication describes the extent of emissions from the industries and the households. Furthermore, the publication contains analytical results on the relationship between the structure of the Danish economy and the economic development on one hand and the emissions of greenhouse gases on the other., All information on the emissions is linked consistently with the Danish national accounts and the so-called input-output tables through common classifications and definitions. The link facilitates, as shown in this publication, analyses of the interaction between the economic activities and the environment., Conclusions, The emissions of greenhouse gases from the Danish economy were 130 million tonnes in 2007 when converted into CO2 equivalents. CO2 is the predominant greenhouse gas, and the CO2 emissions alone were 117 million tonnes, corresponding to 21 tonnes per Dane., These estimates include emissions from international sea and air transport as well as emissions from biomass used as fuel. If the latter categories are excluded, by using the principles for reporting to the Kyoto Protocol, the Danish emissions of all greenhouse gas emissions were 66 million tonnes CO2 equivalents with CO2 alone contributing 52 million tonnes. The latter figure corresponds to 10 tonnes per Dane. Thus, the reporting to the Kyoto protocol only accounts for less than half of the total, emissions from the Danish economy., From 1990 to 2007, the Danish GDP at constant prices increased by 40 percent. While the total CO2 emissions, including the emissions from international transport activities rose even more, economic growth and CO2 emissions are no longer linked together for most of the Danish industries. If emissions from international transport are excluded, the increase in CO2 emissions was only 8 percent. And if also emissions from biomass are excluded, emissions show a 4 percent decrease over the period., The publication has not been printed as a book., Get as pdf, Entire publication, Colophone, Greenhouse Gas Emissions from the Danish Economy, Environment and energy, ISBN pdf: 978-87-501-1809-1, Released: 18 November 2009 09:30, No of pages: 66, Contact info:, Ole Gravgård Pedersen, Phone: +45 30 89 28 39

Publication

BIL611: Families purchase of vehicles

region, unit, patteren of purchase and time
2006-2024 (Per cent)

https://www.statbank.dk/BIL611

Tables in StatBank

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

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

International cooperation

Participation in the European statistical system plays an important part in Statistics Denmark’s international involvement. Furthermore, Statistics Denmark is also an active player in other international forums, among others UN and OECD., ESS – European Statistical System, Statistics Denmark is a member of the European Statistical System (, ESS, ). The ESS is a , partnership , between the Community statistical authority (, Eurostat, ), the national statistical institutes and other national statistics producers in each Member States. There are , 12 other national authorities , producing European statistics in Denmark and are hereby included as such in the ESS. This ESS partnership also includes the EFTA countries. The European statistics cooperation is regulated in , the law on European statistics, ., The purpose of the European statistical cooperation is to produce comparable statistics of high quality. The statistics constitute an important basis for planning, implementation and evaluation in a number of policy and cooperation areas. EU statistics are produced under the framework of a , statistical 5-year program , adopted by the European Parliament and the Council. In order to provide users with a more thorough insight into the ESS, an , ESS report, is published yearly with more detailed information about the latest initiatives and the development of the system. , A major part of EU statistics is produced according to legislation. Statistics Denmark participates actively in all phases of the EU legislative process. This is, e.g. conducted in the Commission’s (, Eurostat´s, ) working groups, where experts from Statistics Denmark and other Member States are consulted in connection with preparation and implementation of EU statistical legislation. , The European Statistical System Committee (ESSC), which is the executive body within the ESS cooperation, is composed of the Directors General of each national statistical institute., In the years to come the European statistical system is undergoing a reform process originating in a , vision for cooperation in the European statistical system towards 2020, . The reform process focusses on 5 areas: 1) user requirements and stakeholder cooperation, 2) quality, 3) new data sources, 4) effective and quality assurance of statistical production processes, and 5) dissemination and communication., Eurostat , Eurostat , is the Statistical Office of the European Communities. It publishes EU statistics enabling comparisons between Member States and regions. Eurostat was set up in accordance with a , decision , made by the Commission., EU legislation on statistics, In order to ensure comparable EU statistics from country to country and over time, the majority of the statistics is produced in accordance with binding EU legal acts., Current EU legal acts on statistics, All statistics are compiled in accordance with the quality standards of , European Statistics Code of Practice , Cooperation with other international organizations, Statistics Denmark cooperates with several international organizations. Among the most important are: United Nations Statistical Commission and the European part hereof, Statistical department of United Nations Economic Commission for Europe (UNECE), Organization for Economic Co-operation and Development (OECD), International Monetary Fund (IMF) and International Labour Organization (ILO)., United Nations Statistical Commission, United Nations Statistical Commission,  was set up by United Nations Economic and Social Council (ECOSOC) in 1947 and assists the Economic and Social Council with the following tasks, e.g.: , To promote the development of national statistics and improve their comparability., To develop the central statistics function at United Nations Statistics Division and to coordinate the statistical work in the organizations of the United Nations., To advise the organizations of the United Nations on collection, processing and dissemination of statistics., To promote and improve statistical methods., Conference of European Statisticians (CES), Conference of European Statisticians,  (CES) is the regional UN authority for statistics. The CES reports to UN’s Statistical Commission and is part of UN’s Economic Commission for Europe (UNECE). The purposes and tasks of the CES are similar to those of the Statistical Commission. In addition to this, the CES is to contribute to closer cooperation between all producers of official statistics in the ECE region and in this connection ensures comparability, the best possible use of consumption and coordinates the collection of statistics from national producers. , Organisation for Economic Cooperation and Development (OECD), The OECD’s mission is to promote policies improving the economic as well as the social situation in the world. In order to live up to this mission the OECD and its numerous affiliated committees, expert groups, etc. require, to a great extent official statistics of high quality.  , The OECD’s statistics division, collects statistics from member states and the statistics are processed with a view to increasing comparability. The statistics are, e.g. published in the monthly edition of Main Economic Indicators. The statistical cooperation is organized in working groups under the OECD’s Committee on Statistics and Statistical Policy (CSSP)., International Monetary Fund (IMF), Statistics Denmark’s relationship with the IMF is maintained in close cooperation with the Danish Ministry of Finance and the central bank of Denmark. The IMF’s statistical work embraces mainly two areas: guidelines for compiling statistics and standards for documentation., International Labour Organization (ILO), In collaboration with the Danish Ministry of Employment, Statistics Denmark is in continuous contact with , the International Labour Organization, and submits comprehensive labour market data for the ILO’s Yearbook of Labour Statistics. The ILO plays and important role in developing and coordinating statistics on especially employment, unemployment and prices. , Coordination Committee for European Statistics, In its capacity as the national statistical authority Statistics Denmark chairs the Coordination Committee for European Statistics. The Committee was set up in 2010 and originates from the EU Regulation on European Statistics (EC) No 223/2009. In accordance with paragraph 1 of Article 5 the national statistical authorities are responsible for coordinating all activities at national level for development, production and dissemination of European statistics and shall act as the contact point for the Commission (Eurostat) on statistical matters. In addition to Statistics Denmark, the Coordination Committee for European Statistics is composed of representatives from other national statistics producers in Denmark, compiling European statistics. , The tasks of the Coordination Committee for European Statistics are as follows:, To ensure mutual exchange of information on:, a) New and ongoing European statistical initiatives with a view to coordinating activities for development, production and dissemination of European statistics,, b) Representation of Denmark in central European committees and councils in the Commission as well as the Council with a view to coordinating and harmonising activities., To contribute to answering the Commission’s general inquiries to the national European statistics producers.  , To take the initiative to cooperate and coordinate the production and dissemination of European statistics, taking place at Statistics Denmark and other national statistics producers, including the creation of  frameworks for establishing cooperative forums, which can contribute to the exchange of ’best practice’., To discuss standards concerning independency, quality (relevance, accuracy, timeliness, punctuality, accessibility, comparability and coherence), confidentiality and response burden, which must be in accordance with national and international decisions and legislation.  , To discuss Danish standards with a view to ensuring a higher degree of internationally comparable statistics., Participating institutions in the Coordination Committee for European Statistics

https://www.dst.dk/en/OmDS/kvalitet-og-styring/internationalt-samarbejde

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, (PRIS01), Net price index by commodity group, (PRIS04), 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

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

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.

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

Subject page

About the DDP App

DDP App is an application that provides easy, efficient and secure access to Danish data for research, analysis and management. , Danish data is of great significance to the development of Danish society. For that reason, Statistics Denmark has established a data portal, which provides researchers, analysts and Danish businesses with an enhanced view of the Danish underlying data basis while making the whole process from application to data smoother. In other words, the solution offers , one user interface, one point of access and one secure solution to meet all data requirements for statistics, research, management and analysis., In collaboration with other data owners, the DDP App builds on the services that already exist in Statistics Denmark, and new functionality and services are added continuously to meet user needs., A collaborative solution, The DDP App is conceived as a collaborative cross-disciplinary national solution for the benefit of research establishments, private businesses and public authorities – completely in line with the intentions behind Denmark’s national public digitisation strategy., Users get a complete view of all registers as well as support in finding the data best suited for their purpose. Moreover, the solution provides quick user access, once the requirements to data security and data confidentiality are met, and with the possibility to get advice and support in the process. Finally, case processing and approval of project applications take place as part of an automated process, thus ensuring progress for the project and transparency for the users., Data security, In the DDP App, the focus data security and information security is massive. Data is built in a special system, which is based on processes of high security, safe management and secure procedures.,  , Administrative procedures and guidelines, In Statistics Denmark, we comply with the non-discrimination requirements of the Danish Public Administration Act. This means that all rules and security requirements apply to all users and all collaborative partners. In other words, nobody gets easier terms or has to meet a lower level of security than others do., Statistics Denmark's procedures complies with current legislation with respect to GDPR, which is tested via external revision and the ISO 27001 standard, which is the security standard for government authorities. The security is tested annually as a result of Statistics Denmark's ISO 27001 certification., Statistics Denmark has prepared a set of guidelines for use of researcher machines, which applies for all research and analysis projects carried out within the framework of the DDP App and Denmark’s Data Portal. In the guidelines, you find for example the requirement that work must be carried out on pseudonymised data, and that Statistics Denmark's methods for statistical disclosure control must be applied. Other examples are the principles of data mining as well as requirements for a clearly defined emergency response and decision guidance documents in connection with the handling of data breach and security incidents. , Read more under Rules on transfer of analysis results, Secure application, In the DDP App, a two-factor login is always used for both the application and the researcher machine, and there are requirements to the security in net traffic and requirements for secure network protocols, as per the Danish Centre for Cyber Security's requirements and recommendations., The application is thoroughly tested for external penetration - see further under `Certification and external control' below., Secure data processing and secure workflows, Agreements exist between Statistics Denmark and all research and analysis institutions in Denmark. The agreements focus on issues such as clarity of roles and responsibilities and ensuring that the employees of the research and analysis institutions handle the administration of the individual institution in the most appropriate way. This is sustained through regular contact with user committees, release of awareness campaigns and user surveys., In the DDP App, researchers and analysts are certified in a special module focusing on compliance with the data processing and data security rules. This means that each user regularly must go through a number of questions regarding data processing and GDPR to maintain their access to the DDP App and Denmark's Data Portal., The workflows for researchers as well as analysts and administrative employees in Statistics Denmark are reviewed annually by the internal supervision and assessed by IT architects, IT managers ad information security coordinators for the purpose of ensuring that there are no loopholes or overlooked ways of cheating, gaining unintentional access or abusing user roles. The detailed authorisation system in the DDP App has been reviewed specifically for the purpose of verifying that a multi-person system has been set up for approval and update, which ensures that individual persons cannot exploit or abuse the system., We carry out systematic system control to ensure that research results for transfer do not contain personal data or individual data (microdata), and we perform randomised sampling and management-initiated samples based on risk assessments., Certification and external control, Security is continuously monitored both through Statistics Denmark's internal supervision and external inspections and audits. Statistics Denmark maintains regular contact with independent external experts who assess, test, and stress test the security of the systems, source code and workflows. The security of our pseudonymisation algorithm has been verified through an external review from the cyber security department, and an executive summary of this can be provided upon request to relevant stakeholders. Likewise, external experts have verified the so-called transfer control., External audit:, Denmark’s Data Portal annually obtains an external audit statement of the ISAE 3000 type, which can be provided to relevant stakeholders. The audit statement, which is accompanied by a corresponding ISAE 3000 statement for the general IT environment and IT workflows, describes a range of security-related control areas, including technical security measures, storage and processing of personal data, and more., ISO 27001 certification:, Statistics Denmark undergoes an annual process to maintain the achieved ISO certification ISO/IEC 27001:2013. The audit process is conducted by the international and independent certification company DNV-GL. The scope, i.e. the area that has been checked and ISO 27001 certified, is 'IT and business processes in the statistics production', including data collection, in accordance with Statement of Applicability"., Penetration tests:, Statistics Denmark has a number of penetration tests carried out each year, where external experts attempt to find vulnerabilities in the technical shell security of systems and access points. This leads to continuous focus on updating to the latest versions of web-facing technologies and security in the firewall. Daily monitoring is in place for external penetration attempts, and there is ongoing surveillance of network traffic in the firewall and associated systems.

https://www.dst.dk/en/TilSalg/data-til-forskning/ddv-app/om-ddv-app

User roles

The relevant employees in a research project must be created as users in DDP App. You have different options when using DDP App, depending on which user role your institution assigned to you. Below you can read which rights the different roles have. In DDP App, you can see your role under ‘My overview’ next to your institution. If a specific role has not been indicated, you are a ‘User’., There are seven different roles in DDP App:, Responsible for authorisation, Substitute, Administrator, Signatory, Contact person, Contact person with powers, User, Who can edit user information in DDP App?, The individual user can update his or her own user information in DDP App. This could be relevant, e.g. if a user changes workplace and therefore wants to update his or her email address. If an association agreement must be terminated, this must either be done by the user him- or herself, the institution administrator, the person responsible for authorisation or a substitute hereof., See table of the rights of user roles in DDP App (pdf, in Danish), Below you can read which rights the different roles have. You can also read more about how the roles are assigned.,  , What can the different roles do? , Responsible for authorisation, This role is responsible for the institution’s authorisation under microdata schemes with Statistics Denmark and approves association agreements under the authorisation. The person responsible for authorisation is legally responsible for the users associated with the institution complying with the current guidelines for use of data. Furthermore, it is the Responsible for authorisation that defines the institutions mail domains. The Responsible for authorisation can appoint a Substitute to maintain their tasks., Substitute, A user who has the same rights as the Responsible for authorisation. It is highly recommended that you appoint one or more substitutes. In the dropdown menu ‘Assigning roles’ below, you can read how to select substitutes in DDP App. Note that the person responsible for authorisation cannot be his/her own substitute., Administrator, It is the institution administrator who must approve and submit all of the institution’s project proposals and data orders to Statistics Denmark. The administrator works as an internal approver, whenever a project proposal is to be submitted or resubmitted. The administrator is thus charged with quality assuring the content of the project proposals from the institution, making sure that the proposals meet requirements to form and GDPR. This means that an administrator should be available and is expected to be a regular user of DDP App., It is also the administrator that create new users and association agreements for the new users. An institution must have at least one administrator, and we recommended that you appoint at least two administrators. This is because some tasks in DDP App can only be carried out by an administrator, and because a given administrator is not allowed to administer him- or herself. It is possible to appoint up to 10 administrators in one institution., Signatory, On behalf of the institution, persons with the signatory role can sign to pledge that a project proposal is conforming to Article 6 of the General Data Protection Regulation., When your project proposal has been approved, an employee in Denmark's Data Portal will sign it. After that, the person who submitted the proposal, i.e. the contact person for the project, the administrator or the contact person with powers, as well as the chosen signatory will receive an email with information indicating that the project proposal has been approved and signed. Subsequently, you need to sign the project proposal. Only users who have been assigned the role of signatory can sign project proposals., The role as signatory is assigned by the person responsible for authorisation or a substitute. Remember that it is a requirement that people with a signatory role are formally employed by the institution where they have the signatory role. There is no limit on the number of signatories., Contact person, A user with access to a project has the role as contact person for the project. The contact person has the dialogue with Denmark's Data Portal regarding the project proposal and data orders. A project can only have one contact person. Administrator can change the project contact person., Contact person with power, An institution can choose that a contact person can have powers corresponding to those of an administrator on the projects for which the user is a contact person. If a contact person has powers, the role is delimited to projects on the institution that assigns the role. that the institutions that the user is associated with. If you - as the person responsible for authorisation - want this solution for a user, you must contact Denmark's Data Portal., User, This is the basic role for users. The role gives access to information about the institutions and the projects the user is associated with and the user can edit his or her own information. When a user is associated with a project in DDP App, he or she also gets access to the project data on the researcher machine. Contact an administrator or the person responsible for authorisation, if you want to be created as a user under an authorised institution., Project owner at Statistics Denmark, When you submit a project to us, we will assign a project owner in Denmark's Data Portal to you with whom you will have direct contact. We do our best to answer your enquiry as soon as possible. , See the average response times under Contact Denmark's Data Portal, How to assign roles, The person responsible for authorisation at the institution is the only one who can assign the roles as substitute, administrator and signatory., To do so, you must as the person responsible for authorisation log into DDP App and select ‘My overview’. Click the institution where you are responsible for authorisation, and then click the three dots to the right of the institution name. If you want to assign/discontinue the role as administrator, you must click ‘Administration of administrators’. If you want to assign/discontinue the role as substitute, you must click ‘Administration of substitutes’, etc. Now a list appears of all users associated with the institution. Click ’Select’ next to the user you want to make either a substitute, an administrator or a signatory., The administrators of the institution can create new association agreements for the institution and attach users to projects.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/brugerroller