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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: Insurance companies and pension funds

Contact info, Government Finances , Get documentation of statistics as pdf, Insurance companies and pension funds 2022 , Previous versions , Insurance companies and pension funds 2021, Insurance companies and pension funds 2020, Insurance companies and pension funds 2019, Insurance companies and pension funds 2018, Insurance companies and pension funds 2017, Insurance companies and pension funds 2014, The purpose of these statistics is to quantify insurance companies and pension funds profit and loss accounts and assets and liabilities, in DKK millions on an aggregate level. These statistics are comparable from 2001 and onwards., Statistical presentation, These statistics include an annual statement of the number of insurance and pension companies as well as their profit and loss accounts as well as their income statement in DKK millions. These statistics are conducted for life insurance companies, non-life insurance companies and pension funds., Read more about statistical presentation, Statistical processing, Compared to the source data the wording of certain items can be changed or aggregated., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The overall accuracy is considered very high. All data comes from the Danish FSA. In general the sector is subject to a great degree of awareness. For further information please refer to the Danish FSA., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 11 months after the end of the reference year. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Similar statistics are available in other countries. These statistics are comparable since the 2001., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Insurance companies and pension funds, . For more information go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/insurance-companies-and-pension-funds

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

Documentation of statistics: International organisation and outsourcing

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, International organisation and outsourcing 2023 , Previous versions , International organisation and outsourcing 2020, International organisation and outsourcing 2016, The purpose of the statistics International organisation and outsourcing is to shed light on significant globalization trends concerning the enterprises' global organization and the extent of international sourcing of business functions for the period 2021-2023. The statistics has been collected also for the periods 2001-2006, 2009-2011, 2014-2016, and 2018-2020. , Statistical presentation, The survey has been carried out intermittently a number of times since 2007. The purpose of the survey is to establish data on the engagement of enterprises in global value chains and international outsourcing, motives and barriers related to international sourcing and the types of functions and number of jobs being moved out of Denmark as a consequence of enterprises' international sourcing. , Read more about statistical presentation, Statistical processing, Data for these statistics are collected via questionnaires from a population of app. 4.000 respondents with 50 or more employees, calculated as full-time equivalent (FTE) employees. The responses are checked electronically as well as manually. , Read more about statistical processing, Relevance, The purpose of the statistics is to shed light on enterprises' international outsourcing and engagement in global value chains. The primary users of the statistics are ministries, researchers and business organizations, who need information on the influence and importance of globalization on the Danish business sector. The statistics is used for research project and analyses where globalization and outsourcing are topics., Read more about relevance, Accuracy and reliability, The statistics is estimated to have a high degree of precision for the main variables., Read more about accuracy and reliability, Timeliness and punctuality, Results are published within 18 months after the end of the reference period. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, Data from the survey may be compared to the data collected in the surveys from 2007, 2012, 2017 and 2021. Furthermore it will be possible to compare the results of the Danish survey to those from a range of other EU-countries. Data may also be compared to data from statistics on Accounts for non-agricultural industries and General enterprise statistics, for the activities and size-classes which are covered., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release (Nyt fra Danmarks Statistik - in Danish only), at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , Outsourcing, . Furthermore data can be made available to researchers., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-organisation-and-outsourcing

Documentation of statistics

Documentation of statistics: Environmental accounts for Denmark (Discontinued)

Contact info, National Accounts, Climate and Environment , Ingeborg Vind , +45 24 83 51 49 , INV@dst.dk , Get documentation of statistics as pdf, Environmental accounts for Denmark (discontinued) 2013 , Previous versions , Environmental accounts for Denmark (discontinued) 2012, These statistics are no longer compiled under the name Environmental Accounts for Denmark. Now specific documentations of statistics can be found under the subject page Environmental-Economic Accounts., Statistical presentation, The environmental accounts contain information on a) Material flows in the form of the the weight of Danish resource extraction, import and exports, b) Air emissions of different substances (CO2, N2O, CH4, PFC, HFC, SF6, NOx, NMVOC, CO, PM10, PM2.5, SO2, NH3), c) Public expenditure and revenue on the environment as well as d) Environmental related taxes etc., The definitions used in the environmental accounts ensures that the information immediately can be used for analyses of the interaction between the economic activities and e.g. air emissions of some of the above-mentioned substances., Read more about statistical presentation, Statistical processing, Emission accounts are compiled taking energy accounts as a starting point for the emissions caused by the use of energy. Emissions caused by other factors than energy use are added subsequently and distributed among the relevant industries. , Tax revenues are broken down by industries on the basis of detailed information from National Accounts., Material Flow Accounts are compiled on the basis of internal and external sources on resource extraction., Read more about statistical processing, Relevance, Environmental Accounts are relevant for those interested in the correlation between the economy on the one side and environment and natural resources on the other side. Ministries and consultant firms are among the main users of environmental accounts. Accounts are included in the overall European environmental accounts, collected and compiled by Eurostat., Read more about relevance, Accuracy and reliability, Figures on statistical uncertainty have not been estimated., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published without delays., Read more about timeliness and punctuality, Comparability, The industry classification in the tables is the same as the one used in the national accounts. The tables can therefore be compared to other statistics based on the industry classification. Accounts are compiled in form of time series. For example accounts for air emissions are available for each year from 1990 until the last year that is published. Accounts are consistent and fully comparable within these years. On the more aggregated level (NACE 64), the Danish accounts are comparable with accounts of other EU countries compiled according to the Regulation no. 691/2011 on European environmental economic accounts., Read more about comparability, Accessibility and clarity, Environmental-economic accounts, Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Activities of foundations

Contact info, Science, Technology and Culture, Business Statistics , Sara Tvile Marker , +45 23 74 28 36 , STK@dst.dk , Get documentation of statistics as pdf, Activities of foundations 2024 , Previous versions , Activities of foundations 2023, Activities of foundations 2022, Activities of foundations 2021, Activities of foundations 2020, Activities of foundations 2019, Activities of foundations 2018, Activities of foundations 2017, Activities of foundations 2016, The purpose of this statistic is to give new knowledge about foundation, by showing the activities of the foundation in form of grants and payouts. The statistics was published for the first time in 2016., Statistical presentation, The statistics shows activities of foundations by grants and payouts in DKK million. The grants are aggregated by purpose, main area, instruments and type of recipient.. , Read more about statistical presentation, Statistical processing, The statistic is produced yearly by survey. Data is collected by electronic questionnaire or file report form. Error detection is conducted directly in the questionnaire or afterwards by standardized error detection routines. The published results are raised to the level of the population. A stratified random sampling is used on the basis of grants in previous and last years use of tax credits, as well as legal form., Read more about statistical processing, Relevance, Payments from foundations gives a substantial contribution to society. The statistic gives information about the activities for foundations, which is not covered by other official statistics. The statistic covers all grants from the foundation internal as well as external., Read more about relevance, Accuracy and reliability, There is no indication of large biases in the result. There can be a small underestimation due to measurement error due to non-response among the smaller units., Read more about accuracy and reliability, Timeliness and punctuality, Results are published 11 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, There are no international standards on the topic, and there are no other official statistic., Read more about comparability, Accessibility and clarity, The main results are published in a NYT from Statistics Denmark and related tables in the Statbank. See also , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/activities-of-foundations

Documentation of statistics

Documentation of statistics: Financial assets and liabilities of local government

Contact info, Government Finances , Ralf Frimand , +45 29 39 42 73 , RAF@dst.dk , Get documentation of statistics as pdf, Financial assets and liabilities of local government 2020 , Previous versions , Financial assets and liabilities of local government 2019, Financial assets and liabilities of local government 2018, Financial assets and liabilities of local government 2017, Financial assets and liabilities of local government 2016, Financial assets and liabilities of local government 2015, Financial assets and liabilities of local government 2014, The purpose of the statistics is to analyze the financial assets and liabilities of the municipalities and regions, including especially the liquid assets and long term debt., Statistical presentation, The statistic monitors the financial assets and liabilities of municipalities and regions broken down by functions. A function is the equivalent to an account in the accounting plan for municipalities and regions. Only the financial assets and liabilities are published quarterly. The current expenditure etc. is only published annually. Quarterly data are all preliminary, as the accounts of the municipalities and regions are not completed until the final accounts in May the following year. This means that corrections and account changes in the previous quarters of the year may happen., Read more about statistical presentation, Statistical processing, Data is delivered quarterly from the municipalities and regions' own financial management systems. Error detection is done on a micro level through error detection rules based the official accounting system. The rules are updated annually according to the notices for the municipalities and regions sent out by the Ministry the Interior. The accounts for the individual municipalities and regions are also compared with the accounts of the year before. Both absolute and relative changes are considered and all 98 municipalities and 5 regions are checked., Read more about statistical processing, Relevance, There is a great interest in the published municipal and regional quarterly accounts among users with an interest in the municipalities and regions. The users are among others the municipalities and regions themselves, ministries, organizations, the media, politicians, private businesses, and private people. The accounts are also used in a number of other areas, including calculation of the EMU-debt, the EDP questionnaire for Eurostat, government planning, business cycle monitoring, and the financial accounts in the national accounts for government expenditure and revenue., Read more about relevance, Accuracy and reliability, There is a large variation between the quarterly accounts of the individual municipalities, partially because the placement of the individual account items can be interpreted in different ways. Adding to this is a number of unspecified account items (joint purpose). Some account items are estimated to be more 'safe' than others. This can be due to the fact that they reflect reimbursements from central government and therefore possibly the subject of ministerial interest. Some parts of the accounts are thus more 'safe' on a detailed level than others. Data for the quarterly accounts are preliminary, as the accounts of the municipalities and regions are not final until May the following year., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of the quarterly accounts of the municipalities and regions is approx. 35 days, from the last day of the quarter to the publication around 5 weeks later. The statistic has a high degree of punctuality, as it is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Statistics Denmark has since 1977 electronically received and stored information concerning the financial assets and liabilities of local authorities at the end of the fiscal year. There is a break in data i 2007 due to the municipality reform, which means that the periods 1984-2006 and 2007- are hard to compare. Furthermore the following factors can complicate comparability over time: changes in the budget- and accounting systems, the assignments in the municipalities can changes over time, and the different ways the municipalities interpret the budget- and accounting system., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Municipal accounts, and , Regional accounts, . For more information please see the subject page for , Municipalities and regions, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-assets-and-liabilities-of-local-government1

Documentation of statistics

Documentation of statistics: The economics of Danish feature films

Contact info, Science, Technology and Culture, Business Statistics , Cecilie Bryld Fjællegaard , +45 51 27 86 09 , CBF@dst.dk , Get documentation of statistics as pdf, The economics of Danish feature films 2024 , Previous versions , The economics of Danish feature films 2023, The economics of Danish feature films 2021, The economics of Danish feature films 2020, The economics of Danish feature films 2018, The purpose of the statistics on the economics of Danish feature films is to shed light on the financing of and costs associated with the production of Danish feature films, ie. where the money comes from and what it has been used for. As of 2023 the statistics furthermore sheds light on the revenue of Danish feature films. The statistics can be used to describe the financial framework conditions for Danish feature films. The statistics have been prepared for the first time in 2021 and cover the period from 2010 onwards., Statistical presentation, The economics of Danish feature films is an annual statement of the framework conditions for Danish feature films by type of financing (public support and private financing), country of financing (Denmark or abroad), target groups (eg. children / young people / families or adults), cost types (salary and other costs) and revenue type (cinema, video, TV) calculated in both mill. DKK and number of films., Read more about statistical presentation, Statistical processing, Data for the statistics are collected by the Danish Film Institute for use in the administration of film support. It is examined whether the number of feature films in the data received matches the number of feature films supported through the Consultant or Market Scheme. Then various sum checks are made for the individual films. In the event of irregularities or questions, the Danish Film Institute is contacted and data edited if necessary. Data is then enriched with information about the target group from Statistics Denmark's Film Register. Finally, data is aggregated to the final tables., Read more about statistical processing, Relevance, The statistics are relevant for industry professionals, researchers, analysts and others with a special or general interest in the economic aspects of Danish film production. It can be used to support analyzes of the development in Danish feature film production and / or be a starting point for political debates and decisions. It can also provide an insight into the framework conditions for Danish feature films for other interested parties., Read more about relevance, Accuracy and reliability, The data basis is production accounts for Danish feature films that have received support from the Danish Film Institute either through the Consultancy or Market Scheme, but omit feature films that have received other or no support. The statistics are therefore not fully comprehensive and underestimate the financing of, the costs associated with and the number of Danish feature films. The data base comprises an average of 79 per cent of Danish feature films and 93 per cent of the total sales of cinema tickets., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two years after the end of the reference period. The table concerning revenue to Danish feature films is published four years after the end of the reference period., Read more about timeliness and punctuality, Comparability, The time series is comparable throughout the period. The statistics are partly comparable with Statistics Denmark's cinema statistics and can be compared with the Cultural Habits Survey's results regarding films and series. Internationally, the statistics can be compared with UNESCO's feature film statistics. There are no common European or international guidelines in the field, but there are a number of international and European sources for lighting the feature film field., Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Statistics Denmark publishes figures for the economy of Danish feature films under the topic , Cinemas and films, . See more on the subject page , Cinemas and films, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-economics-of-danish-feature-films

Documentation of statistics

Documentation of statistics: Climate footprint (experimental statistics)

Contact info, National Accounts, Climate and Environment, Economic Statistics , Bogomil Emilov Iliev , +45 21 18 78 92 , BOI@dst.dk , Get documentation of statistics as pdf, Climate footprint (experimental statistics) 2024 , Previous versions , Climate footprint (experimental statistics) 2021, The purpose of the statistics is to measure the global emission of greenhouse gases from the supply chains for Danish final use (Danish consumption, investment and export). It illustrates correlations between Danish final use and emissions of greenhouse gases from Danish and international production. Global emission of greenhouse gases from Danish consumption and investment constitutes Denmark's Climate Footprint. The statistic is experimental and have been prepared since 2021 in collaboration with the Danish Energy Agency, which uses it for the annual publication "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Statistical presentation, The statistics show the amount of greenhouse gas that has been emitted in the supply chains for Danish final use annually from 1990 onwards. The emissions are distributed by type of final use, emitting industries and countries, as well as by supplying industries., Read more about statistical presentation, Statistical processing, The climate footprint is calculated with a multi-regional environmental economic input-output (MRIO) model that links data from Statistics Denmark on Danish production and greenhouse gas emissions with data from the international database EXIOBASE on international production and greenhouse gas emissions., Read more about statistical processing, Relevance, The climate footprint is relevant for everyone who is interested in relations between Danish consumption and investment and global emissions of greenhouse gases. The climate footprint is prepared in collaboration with the Danish Energy Agency's Center for System Analysis, which uses it in their annual report "Danmarks Globale Klimapåvirkning – Global Afrapportering"., Read more about relevance, Accuracy and reliability, The overall precision of the statistics is not as high as other statistics from Statistics Denmark, which are based on directly observable data. The majority of the figures in this statistic are the result of calculations with Danish and international input-output models. The international input-output model in particular is uncertain because it is a compilation of figures from many countries of uneven quality. However, it is assessed that the precision is as good as it can be at the present time, when available sources and methods are taken into account., Read more about accuracy and reliability, Timeliness and punctuality, The climate footprint is an experimental statistic and does not yet have a fixed publication time. When a publication date is determined, it is published in Statistics Denmark's publication calendar., Read more about timeliness and punctuality, Comparability, The statistics are compiled for 1990 and onwards and are comparable over time. The statistics have been produced in collaboration with the Danish Energy Agency and are used for the Danish Energy Agency's report "Danmarks Globale Klimapåvirkning – Global Afrapportering". there will therefore be full agreement between results published by the Danish Energy Agency and Statistics Denmark., As there is not yet full international agreement on methods and data bases for calculating climate footprints, there will not necessarily be full comparability with the calculations of other institutions or other countries., Read more about comparability, Accessibility and clarity, In the Statbank, the climate footprint is published under the subject , Energy and air emission accounts, in table AFTRYK1., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/climate-footprint--experimental-statistics-

Documentation of statistics