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      Documentation of statistics: Household Budget Survey

      Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2024 , Previous versions , Household Budget Survey 2023, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The Household Budget Survey is a sample survey in which approximately 2,600 households are selected from Denmark’s total of around 2.9 million private households. From 2024, data will be collected annually from about 1,300 households, and the sample for a given year’s survey is based on data collected over a two‑year period., The survey includes information from three data sources: accounts, interviews, and administrative registers., All consumption expenditures, incomes, etc. are adjusted to correspond as closely as possible to the price and volume level of the final year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, Only 8 percent of the contacted households chose to participate in the Household Budget Survey. This creates uncertainty, particularly for detailed consumption groups. For total consumption, this results in a margin of uncertainty of ±1.4 percent, while for items such as bread it is 1.8 percent, and as high as 18.6 percent for a rarely purchased item such as offal. There is underreporting in several areas, such as alcohol, tobacco, prostitution, and undeclared work. Uncertainty is greater when data are based on diary entries rather than interviews, and it increases further when looking at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is carried out in accordance with the guidelines of Eurostat, the Statistical Office of the European Union. Comparable figures are published by Eurostat. From 1994 onwards, the survey methodology was revised so that the survey is now conducted annually using the same method and on a comparable basis., Data for the years 2014 to 2022 were based on a two‑year sample and the ECOICOP nomenclature. To ensure comparability over time, data from 1994 to 2013 were recalculated according to this nomenclature in both current and constant prices., From 2024, COICOP2018 has been implemented in the Household Budget Survey as a result of the survey becoming regulation‑based. Data from 2015–2022 have been recalculated in both current and constant prices according to COICOP2018 to ensure continuity., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

      Documentation of statistics

      Documentation of statistics: Research Libraries (Discontinued)

      Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Research libraries 2017 , Previous versions , Research Libraries 2016, Research Libraries 2015, Research Libraries 2014, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. The statistic is produced by Statistics Denmark since 2009., Statistical presentation, The purpose of the statistic is to disseminate the activity in the area of research libraries in Denmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected annually from the research libraries via electronic questionnaire. Data from each research libraries are checked in relation to their reporting for the previous years. Data collection takes place at the same level of detail as what the final statistics are published on., Read more about statistical processing, Relevance, The main users are politicians, students, community organizations and the libraries themselves. There have not been performed any survey on user satisfaction for this particular statistics., Read more about relevance, Accuracy and reliability, In 2014, the response rate was 71 per cent. Some other research libraries do not report to the research library statistics. There are neither imputed nor listed for the missing values. Therefore, the values are underestimated in relation to the actual level. Data is published for the individual research libraries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 6 months after the reference year end without delay. , Read more about timeliness and punctuality, Comparability, Data is comparable from 2009 onwards. The statistics are based on the DS / ISO 2789 standard, which is the international standard for compile library statistics. The statistics are based on DS / ISO 2789 standard and is therefore comparable with other statistics for library activity., Read more about comparability, Accessibility and clarity, Publishing takes place in the following channels: Statistikken udgives i , Newsletter, . I Statistikbanken offentliggøres tallene under emnet , Forskningsbiblioteker, . Publication about culture in Danish, Kultur, . , Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Business Cycle Tracer (Discontinued)

      Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Business Cycle Tracer 2021 , Previous versions , Business Cycle Tracer 2020, Business Cycle Tracer 2019, Business Cycle Tracer 2018, Business Cycle Tracer 2017, Business Cycle Tracer 2016, Business Cycle Tracer 2015, Business Cycle Tracer 2014, Business Cycle Tracer is a graphic tool to analyze the business tendency based on confidence indicators for Manufacturing industries, Construction industry, Services and Retail trade - please refer to documentation for those statistics., Statistical presentation, The Business Cycle Tracer is plotted in a scatter graph. Y-values depict indicator level. X-values depict changes in indicator level month over month. Along the curve is traced the development month by month., The collection of data for these statistics has not been affected by COVID-19. , Read more about statistical presentation, Statistical processing, Based on Business Tendency Survey data, a composite indicator is calculated by Principal Component Analysis for each sector., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media., Read more about relevance, Accuracy and reliability, Based on , Business Tendency Survey, . Furthermore refer to method description in Danish: , Konjunkturcyklus-metode, ., Read more about accuracy and reliability, Timeliness and punctuality, Update each month the second workday., Read more about timeliness and punctuality, Comparability, Containing time series from 1998 and onwards, The method follows the method established by DG ECFIN, EU. Furthermore see the method description: , Konjunkturcyklus-metode, (in Danish)., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Business Cycles, and in an interactive graph on the subject page., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-cycle-tracer--discontinued-

      Documentation of statistics

      Documentation of statistics: Census of Buildings

      Contact info, Short Term Statistics, Business Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Census of Buildings 2022 , Previous versions , Census of Buildings 2019, Census of Buildings, 1 January 2018, Census of Buildings, 1 January 2017, Census of Buildings, 1 January 2016, Census of Buildings, 1 January 2015, Census of Buildings, 1 January 2014, The statistics yearly describe the stock of buildings in Denmark. The Census of buildings - together with the Census of Housing - is since 1981 and based on administrative registers a continuing of the questionnaire based Census on Population and Housing., Statistical presentation, The statistics are compiled from a full-scale census, 1st January. Before 2011 are small buildings (e.g. garages, carports, outhouses) excluded from the stock. The statistics describe the stock of buildings analyzed by type of use, size, ownership, heating installation, roof covering and external cladding materials, water and effluent installations, and year of construction. The statistic is used by municipals, ministries, the press, companies and private people., Read more about statistical presentation, Statistical processing, The statistic covers all buildings in the Registry of buildings and Dwellings. Data is validated at the building level. The aggregated numbers are checked against earlier years., Read more about statistical processing, Relevance, The statistic is used by municipalities, counties, government departments, private and semi- private organizations and firms, the news media and private persons. It is used for public and private planning, education and public debate., Read more about relevance, Accuracy and reliability, The quality of the statistic is believed to be high. A survey of the overall accuracy of the Central Register of Buildings and Dwellings has never been conducted. But the degree of unknown variables is small., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published medio July, normally on time., Read more about timeliness and punctuality, Comparability, With some exceptions the data are consistent back to January 1, 1986(see comparability over time). A complete comparability with the statistic of constructions is, for several reasons, not possible., Read more about comparability, Accessibility and clarity, The newest numbers are published at [STATBANK] https://www.dst.dk/en/Statistik/emner/byggeri-og-anlaeg/bygninger.aspx). The numbers are also used in The Statistical Yearbook and in the Statistical Ten-Year Review., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-buildings

      Documentation of statistics

      Documentation of statistics: Economics and employment of the sporting activities

      Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Economics and employment of the sporting activities 2024 , Previous versions , Economics and employment of the sporting activities 2023, Economics and employment of the sporting activities 2022, Economics and employment of the sporting activities 2021, Economics and employment of the sporting activities 2020, Economics and employment of the sporting activities 2019, Economics and employment of the sporting activities 2018, Economics and employment of the sporting activities 2017, These statistics highlight the economy and employment in the sports industry, thus providing a picture of the sport as a profession. These statistics are comparable from 2013 onwards., Statistical presentation, These statistics are an annual estimate of key economic and employment figures, by sports industries, including turnover, payroll and number of full-time employees., Read more about statistical presentation, Statistical processing, The statistics are based on registry data from the Employment statistics and General Business Statistics for the selected sports industries. Sports consumption is based on the new COICOP2018 nomenclature. Data is validated in source registers, while the statistical trends over time are compared with previous years' levels. No seasonal adjustment or separate imputations are made., Read more about statistical processing, Relevance, These statistics are available for all to be used for a description of the economy and employment in the sports-related industries., Read more about relevance, Accuracy and reliability, The statistic is based on data, that has been checked for errors and corrected in connection with the preparation of other statistical products. There is no definite quality measurement of the statistics, as well as no calculations on uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately twenty months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics are comparable throughout the published period. Changes in the statistics over time, including the transition to COICOP2018, have resulted in higher figures for sports consumption. The statistics can be compared with selected results from the the Employment statistics, The Labour Market Account and General Enterprise Statistics, as well as Cultural Business Structure and Labour Market., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Economics and employment of the sporting activities, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-and-employment-of-the-sporting-activities

      Documentation of statistics

      Documentation of statistics: Asylum Applications and Residence Permits

      Contact info, Population and Education , Annemette Lindhardt Olsen , +45 20 59 02 47 , ALO@dst.dk , Get documentation of statistics as pdf, Asylum Applications and Residence Permits 2022 , Previous versions , Asylum Applications and Residence Permits 2019, Asylum Applications and Residence Permits 2016, Asylum Applications and Residence Permits 2015, Asylum Applications and Residence Permits 2013, The statistics show the number of asylum seekers and the number of residence permits granted., The statistics were first published in 1989. The information on asylum seekers and refugees goes back to 1984, but there is only information on residence permits (other than refugees) from 1988., From 1997 there is information about residence permits on individual level for each immigrated person with citizenship outside Denmark and the Nordic countries., Statistical presentation, The statistics contain information on the number of asylum seekers, the citizenship of the asylum seekers and whether they are in Denmark or not. From 1. July 2002 it is only possible to apply for asylum when you are in Denmark., The statistics also contain information on the number of residence permits granted, the background for the permit and the citizenship of the applicants., Read more about statistical presentation, Statistical processing, Information from the Danish Immigration Service (Udlændingeservice). The Danish Immigration Service is the authority handling applications for asylum and other residence permits., The number of asylum applications and residence permits are not checked for errors., Read more about statistical processing, Relevance, Ministries, political parties, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, It is judged that the quality of the information is high., Read more about accuracy and reliability, Timeliness and punctuality, The time for publishing are 45 days after the end of the quarter., Immigrations with information about residence permits are also published 45 days after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time and can also be compared internationally., Read more about comparability, Accessibility and clarity, The Statbank., Yearly publications: , Statistical ten-year review, and , Immigrants in Denmark, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/asylum-applications-and-residence-permits

      Documentation of statistics

      Documentation of statistics: Names

      Contact info, Population and Education, Social Statistics , Dorthe Larsen , +45 23 49 83 26 , dla@dst.dk , Get documentation of statistics as pdf, Names 2026 , Previous versions , Names 2021, Names 2020, Names 2017, Names 2016, Names 2014, Statistics on names covers first names and surnames in the Danish population and was established in 1995, initially as a project for the Department of Name Research at Copenhagen University., Statistical presentation, The statistics on names are split up into two different statistics. One concerns the whole population in Denmark at 1st January by first name and surname. The other concerns names given to newborn children during a given year., Read more about statistical presentation, Statistical processing, Statistics on names is based on the Central Person Register (CPR) based on the total population and newborns as in the population statistics. The number of people with different first names and surnames using only the first and the last name for a person., Read more about statistical processing, Relevance, The Department of Nordic Studies and Linguistics (NorS) at Copenhagen University, the media, private people and private businesses are using the statistics for public and private purposes., Read more about relevance, Accuracy and reliability, The statistics are based on the population registered in the Central Person Register (CPR) as calculated in the population statistics, where the main source of uncertainty in the population figure is delayed registration of emigrants., Read more about accuracy and reliability, Timeliness and punctuality, Names of newborn children are published in the middle of July, in the year after end of the reference year. Names of the total population are calculated per 1st January and are published in the middle of February. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics on names of the total population is comparable since 2002 and statistics on names of newborn children can be compared since 1985. From 1996 the statistics concerning names includes all people living in Denmark. Before 1996 the statistics concerning names only included Danish citizens living in Denmark. The statistics concerning names are internationally comparable., Read more about comparability, Accessibility and clarity, Statistics on names are published in two separate Danish press releases. Lists of names are available on the subject pages concerning , Names of the total population, and , Names of newborn children, ., In the name database , How many Danes have the name..., it is possible to enter a first name and/or surname and find out how many have a given name., In Statistics Denmark's , Barometer of names, it is possible to enter a first name and see the development in how many newborns have been given a given first name over the years., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Foreign Owned Enterprises

      Contact info, Business Dynamics, Business Statistics , Asbjørn Hviid Mikkelsen , +45 29 42 68 36 , AHM@dst.dk , Get documentation of statistics as pdf, Foreign Owned Enterprises 2024 , Previous versions , Foreign Owned Enterprises 2023, Foreign Owned Enterprises 2022, Foreign Owned Enterprises 2021, Foreign Owned Enterprises 2020, Foreign Owned Enterprises 2019, Foreign Owned Enterprises 2018, Foreign Owned Enterprises 2017, Foreign Owned Enterprises 2016, Foreign Owned Enterprises 2015, Foreign Owned Enterprises 2014, Foreign Owned Enterprises 2013, Foreign Owned Enterprises 2012, The purpose of the statistics foreign-owned enterprises is to show the number of foreign-owned enterprises in Denmark and how this number develops over time. The statistics were compiled with the first reference year 2000 and is comparable from 2019 onwards. First as a pilot project and subsequent regulation determined in connection with the implementation of the Regulation (EC) No 716/2007 of The European Parliament and of The Council of 20 June 2007 on Community statistics on the structure and activity of foreign affiliates., Statistical presentation, The statistics analyze the ownership country in terms of land for the ultimate owners. Statistical data contain country of the ultimate owner and selected variables taken from the General enterprise statistics such as turnover, number of employees and number of enterprises., Read more about statistical presentation, Statistical processing, Information from the National Bank, the companies official accounts, commercial registers, the Business Register and other sources used to update the population of foreign-owned firms. There also used information from the General Enterprise statistics., Read more about statistical processing, Relevance, Users: Public authorities, Eurostat, employers' and employees' federations, private firms, politicians, economists, journalists, students., Read more about relevance, Accuracy and reliability, The statistics cover the foreign-owned enterprises that can be identified using information from the National Bank, commercial registers, and companies’ official financial statements. These sources are considered to cover the vast majority of foreign-owned enterprises, although some enterprises may not be identified. Consequently, the number of foreign-owned enterprises, as well as their turnover and employment, may be underestimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once a year. The statistics are usually published about 20 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics have been republished for the period 2019-2021 with a new activity limit that includes economically active companies and with more economic units that have been implemented in the General Enterprise Statistics. Several industries are affected by this. There is thus no direct comparability with the previous time series for the period 2000-2021. , The statistics supplement the General Enterprise Statistics with information on foreign-owned enterprises. Every year figures are submitted to Eurostat. This includes special industry aggregates, not published nationally. , Read more about comparability, Accessibility and clarity, The statistics are published in , NYT from Statistics Denmark, (only in Danish) and , Statbank Denmark, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/foreign-owned-enterprises

      Documentation of statistics

      Documentation of statistics: Census of Housing

      Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Census of Housing 2026 , Previous versions , Census of Housing 2025, Census of Housing 2024, Census of Housing 2023, Census of Housing 2022, Census of Housing 2021, Census of Housing 2020, Census of Housing 2019, Census of Housing 2018, Census of Housing 2017, Census of Housing 2016, Census of Housing 2016, Census of Housing 2014, The purpose of the housing statistics is to analyze the total housing stock and population housing. The statistics is used in the municipal equalization system. The housing statistics has been conducted annually since 1981. The statistics is comparable from 2010 onwards., Statistical presentation, The statistics are produced on a yearly basis and comprises all homes in Denmark. The statistics and is described through a number of variables; type of dwelling, type of ownership, type of heating installation, toilet, bathing, and kitchen facilities plus the year of construction and also the stock of occupied dwellings by tenure (rented or owner-occupied dwellings) type of household etc. In addition, the number of persons in dwellings by age and gender and number of children. The statistics are also geographically distributed by municipalities, regions and provinces., Read more about statistical presentation, Statistical processing, BBR- and CPR-data are matched via addresses and dwellings are split into dwellings with and without registered population. Inconsistencies are corrected and data summed., Read more about statistical processing, Relevance, Census of Housing is used by ministries, municipalities, companies and private persons., Read more about relevance, Accuracy and reliability, The degree of uninformed information for each variable is very little. Close cooperation between the BBR-authority and the Population Register in each municipality ensures a good match between the addresses in the two registers., All property owners are obliged by law to notify changes such as extensions, demolitions or a new roof to the municipal BBR-authority. It is up to the homeowners to update information in BBR themselves, so it is doubtful that changes, for example in the number of rooms, toilet / bathroom conditions or change of heating are always notified BBR., Read more about accuracy and reliability, Timeliness and punctuality, Data is released timely around 3-5 months after the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, Then Census of Housing has been based on the BBR and CPR-registers since 1. January 1981. With the exceptions of a few variables the data are consistent from 1981. There are though certain reservations for comparison during this time period. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Housing, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-housing

      Documentation of statistics

      Documentation of statistics: Multiplier Tables

      Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Multiplier Tables 2023 , Previous versions , Multiplier Tables 2022, Multiplier Tables 2019, Multiplier Tables 2018, Multiplier Tables 2017, Multiplier Tables 2016, Economic multipliers measure the effect on e.g. production, income or employment at a detailed industry level, following a 1 million DKK "shock" to final use in an industry or in a final use category. Multipliers are not statistics in the traditional sense but may be termed more correctly as model calculations. As it is not entirely uncomplicated to calculate multipliers, a collection of the most used multipliers are made available for download this way. The statistics is a resume - now in electronic form - of the publication , Danish input-output tables and analyses, , that was published annually in a period up until 2011. , Statistical presentation, The tables contain a variety of multipliers, which can be considered a tool for assessing the impact of various "shocks" on demand. The tables are divided into three groups, production multipliers, employment multipliers and input multipliers. Each of these three groups is further subdivided into whether it is a shock to the demand in a particular industry or in a specific final use. In each table, it is also possible to further choose which type of multiplier you want to work with or what kind of employment you find most interesting. The multipliers are used when, for example, one wants to assess the effects of a possible shock to the demand. By multiplying a multiplier with the size of the shock, one can assess what effects it will have on production, employment, etc., Read more about statistical presentation, Statistical processing, The multiplier tables are based on already published data from Statistics Denmark, so the primary contribution that comes from these statistics is the statistical treatment of the basic material, which is done as a service for the users. Treatment is most easily done with software dedicated to the task and consists in working with data in matrix format and the use of certain matrix formulas picked up from the literature. One of the most important elements of the calculations is the compilation of the inverted matrix of inputs into the production - the so-called Leontief inverse matrix., Read more about statistical processing, Relevance, The multiplier tables are relevant for all those who would like to be able to calculate a general estimate of the effects on variables such as production, employment, imports etc.. when demand increases in an industry or one final use. It is an obvious choice for people who need to prepare and assess various policy initiatives who can use the multipliers to get an initial estimate of policy implications for key economic variables., The multiplier tables are ready to use and requires no prior knowledge of input-output modeling., Read more about relevance, Accuracy and reliability, The multipliers are the result of model calculations, which are based on national accounting statistics and input-output tables. In each section, polls and adjustments are made under assumptions, which together mean that the calculation process builds some uncertainty about the figures. At the most detailed level, therefore, one can not necessarily expect the results to be accurate representations of reality. Conclusions from the tables should be drawn with some caution, taking account of the uncertainties that may arise in the various stages of the process., Read more about accuracy and reliability, Timeliness and punctuality, The multipliers that build upon the national accounts input-output tables are published simultaneously with the final version of the national accounts approximately 30 months after the end of the reference year. Despite the fact that the numbers are 30 month old when published it is assessed that the degree of actuality in the numbers is quite high. The multipliers represent economic structures that changes quite slowly and therefore the numbers do not need to be as new and recent as numbers representing the state of the market economy. , Read more about timeliness and punctuality, Comparability, The input-output tables that make up the source for the multiplier statistics are fully coherent with the national accounts which makes the multipliers coherent as well. The classification of industries and final use categories are concurrent. The multipliers are published for the most recent final year of the national accounts because multipliers in current prices are not comparable over time. To the extent that similar multipliers are calculated in other countries a high degree of comparability can be expected., Read more about comparability, Accessibility and clarity, The statistics is published in the , Statbank, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/multiplier-tables

      Documentation of statistics
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