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    Grants and payments by foundations

    How much money is distributed by Danish foundations each year? What are the foundation grants used for? The statistics on foundation grants and payments show how several billion Danish kroner are distributed annually to a range of purposes, including culture, health, and social initiatives. The grants can be further broken down into grants allocated to research., Philanthropic grants and payments of foundations, The figure shows the total grants and payments distributed across philanthropic purposes. Philanthropic purposes can be characterized as charitable or beneficial to a broader segment of society. Grants and payments for non-philanthropic purposes can be found in StatBank Denmark – click “In Statbank denmark, you can find more data…” below the figure. , In Statbank Denmark, you can find more data on Grants for philanthropic and non-philanthropic purposes (FOND17), Update and sources , Last update , 17.11.2025, Next update , 16.11.2026, Source data , The statistics are based on a survey conducted among Danish foundations and associations. The population includes all organizations in the private sector with the legal structures of Commercial Foundations, as well as Foundations and other self-governing institutions. A stratified sample of 550 foundations is drawn and scaled based on the foundation's utilization of tax deductions under the Foundation Tax Act. This is supplemented by a group of entities, such as patient associations, that operate as foundations., Read more about sources, method and quality in the documentation of statistics on Activities of foundations , Foundation grants by purpose, The figure shows the total foundation grants distributed by various purposes. , In Statbank Denmark, you can find more data on Grants (FOND01), Update and sources , Last update , 17.11.2025, Next update , 16.11.2026, Source data , The statistics are based on a survey conducted among Danish foundations and associations. The population includes all organizations in the private sector with the legal structures of Commercial Foundations, as well as Foundations and other self-governing institutions. A stratified sample of 550 foundations is drawn and scaled based on the foundation's utilization of tax deductions under the Foundation Tax Act. This is supplemented by a group of entities, such as patient associations, that operate as foundations., Read more about sources, method and quality in the documentation of statistics on Activities of foundations , Foundation payments by purpose, The figure shows how the total foundation payments are distributed by various purposes. , In Statbank Denmark, you can find more data on Grants (FOND01), Update and sources , Last update , 17.11.2025, Next update , 16.11.2026, Source data , The statistics are based on a survey conducted among Danish foundations and associations. The population includes all organizations in the private sector with the legal structures of Commercial Foundations, as well as Foundations and other self-governing institutions. A stratified sample of 550 foundations is drawn and scaled based on the foundation's utilization of tax deductions under the Foundation Tax Act. This is supplemented by a group of entities, such as patient associations, that operate as foundations., Read more about sources, method and quality in the documentation of statistics on Activities of foundations , Foundation grants to research and development, The figure shows how grants to research are distributed by subject area, including grants that have been subjected to competition (awarded in connection with open competition with published criteria). , In Statbank Denmark, you can find more data on Grants for research purpose (FOND20), Update and sources , Last update , 17.11.2025, Next update , 16.11.2026, Source data , The statistics are based on a survey conducted among Danish foundations and associations. The population includes all organizations in the private sector with the legal structures of Commercial Foundations, as well as Foundations and other self-governing institutions. A stratified sample of 550 foundations is drawn and scaled based on the foundation's utilization of tax deductions under the Foundation Tax Act. This is supplemented by a group of entities, such as patient associations, that operate as foundations., Read more about sources, method and quality in the documentation of statistics on Activities of foundations , Foundation grants to green research and development, The figure shows how research grants are distributed by subcategories within green research and development. , In Statbank Denmark, you can find more data on Grants for green research purposes (FOND21), Update and sources , Last update , 17.11.2025, Next update , 16.11.2026, Source data , The statistics are based on a survey conducted among Danish foundations and associations. The population includes all organizations in the private sector with the legal structures of Commercial Foundations, as well as Foundations and other self-governing institutions. A stratified sample of 550 foundations is drawn and scaled based on the foundation's utilization of tax deductions under the Foundation Tax Act. This is supplemented by a group of entities, such as patient associations, that operate as foundations., Read more about sources, method and quality in the documentation of statistics on Activities of foundations , On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Activities of foundations , 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., Read more about sources, method and quality in the documentation of statistics on Activities of foundations, Need more data on Grants and payments by foundations?, Go on searching on your own in Statbank Denmark. Find more detailed figures, e.g how grants are distributed across purpose and main areas., Go to the StatBank, Contact, Sara Tvile Marker, Phone: +45 23 74 28 36, Mail: , stk@dst.dk

    https://www.dst.dk/en/Statistik/emner/erhvervsliv/erhvervslivets-oekonomi/fondes-bevillinger-og-udbetalinger

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    Input-output

    How are production, imports, consumption, investment and exports linked in the Danish economy? Input-output tables show connections between industries, imports and final use, and they are used, among other things, for analyses of direct and indirect effects on production, employment, imports and climate footprint., Supply and use , Supply and use show where goods and services come from, and what they are used for. Supply consists of Danish production and imports, while use consists of consumption in production, private and public consumption, investment and exports. For each good and service, supply and use must be in balance., Input-output , Input-output tables show the links between production, imports and uses in the economy. They show, for example, how different industries both supply to and purchase from each other, and how production is delivered to consumption, investment and exports. In this sense, they provide a detailed map of the economy's internal flows. The tables can be used to set up an input-output model, which can calculate how changes in consumption, investment or exports affect production, imports and employment., Multiplier , A multiplier shows the calculated effect of a change in demand. It can, for example, show how much production, imports or employment follows from DKK 1 million extra exports, consumption or investment. Multipliers include both the direct effect in the industries that are first affected and the indirect effects among their subcontractors. A multiplier is a coefficient that one can multiply by the shock to demand in an industry for which one wants to know the consequences., Growth contribution , Growth contributions show how much different parts of demand contribute to economic growth. This can, for example, be contributions from private consumption, public consumption, investment and exports. By means of an input-output model, growth contributions can be corrected for their import content, so that they only show the demand components' contribution to Danish value added., Supply of goods and services, The figure shows how the supply of goods and services to the Danish economy is distributed between deliveries from Danish production, imports and product taxes. The figure, therefore, shows how much of the production is based on domestic and foreign deliveries. , In Statbank Denmark, you can find more data on Input-output table. Totals of supply by use and price unit. (69 industries) (NAIO4F), Update and sources , Last update , 30.6.2026, Next update , 29.6.2027, Source data , The main sources for compiling supply and use tables in current prices are the following:, Accounts Statistics for Non-Agricultural Private Sector (SBS), Sales by manufacturing industries (PRODCOM), General enterprise statistics, Manufacturers' Purchases of Goods and Services, Accounts for public corporations, Economic Accounts for Agriculture, Government finance statistics, Financial industries and FISIM compiled on a NA basis, Accounts statistics for non-profit institutions serving households (NPISH), Energy accounts, Balance of payments and external trade statistics, Household budget survey, The main sources for the compilation of supply and use tables in previous year prices are:, Producer price indices for goods and services, Producer price indices for construction, Construction cost indices, Consumer price indices and net price indices (consumer price indices excluding taxes), Price indices for agricultural sales, Wage indices, Unit price indices from import and export statistics, Volume indicators: Energy supply and use, transportation, final Individual consumption expenditure of government, The balancing process of the SUTs serves as a central control of the quality and liability of the data. The compilation of SUTs is not solely to provide a reliable base for IOT, but also to provide a confrontation between estimates from different sources at a very detailed level. See also 18.4 data validation., The input-output table is almost entirely based on the SUT's. The only exception is the the elements of Gross Value Added; Other taxes on production, Compensation of employees and Gross surplus and mixed income that comes from other sources in the national accounts., Read more about sources, method and quality in the documentation of statistics on National Accounts: Input-Output and Supply-Use , Use of goods and services, The figure shows how the total use of goods and services is distributed between intermediate consumption, private and public consumption, investment and exports. , In Statbank Denmark, you can find more data on 0 Goods and services (full sequence) (NAH1), Update and sources , Last update , 30.6.2026, Next update , 22.2.2027, Source data , Data sources include:, Administrative data, accounting statements, tax data, statistical surveys of businesses and households, trade statistics on goods and services, balance of payments information and energy accounts., For an overview of sources on industry level see , Branchefordelt kildeoversigt, (In Danish)., Read more about sources, method and quality in the documentation of statistics on National Accounts: Annual , Employment multiplier for housing investment, The figure shows how the calculated new employment from investment in dwellings is distributed across industries. Construction accounts for the largest share, but the effect also spreads to trade, transport, consulting and other industries. Click the downward arrow to see the rest of the industry list. , In Statbank Denmark, you can find more data on Employment multiplier (BESMUL2N), Update and sources , Last update , 7.7.2026, Next update , 29.6.2027, Source data , The source of this statistics is entirely the Input-output tables for Denmark. A description of these sources can be found in , input-output tables, Read more about sources, method and quality in the documentation of statistics on Multiplier Tables , Import-adjusted growth contribution, The figure shows how much private consumption, public consumption, investment and exports contribute to real growth when their direct and indirect import content have been deducted. , In Statbank Denmark, you can find more data on Import adjusted contribution to growth (NAIOVB), Update and sources , Last update , 30.6.2026, Next update , 29.6.2027, Source data , The main sources for compiling supply and use tables in current prices are the following:, Accounts Statistics for Non-Agricultural Private Sector (SBS), Sales by manufacturing industries (PRODCOM), General enterprise statistics, Manufacturers' Purchases of Goods and Services, Accounts for public corporations, Economic Accounts for Agriculture, Government finance statistics, Financial industries and FISIM compiled on a NA basis, Accounts statistics for non-profit institutions serving households (NPISH), Energy accounts, Balance of payments and external trade statistics, Household budget survey, The main sources for the compilation of supply and use tables in previous year prices are:, Producer price indices for goods and services, Producer price indices for construction, Construction cost indices, Consumer price indices and net price indices (consumer price indices excluding taxes), Price indices for agricultural sales, Wage indices, Unit price indices from import and export statistics, Volume indicators: Energy supply and use, transportation, final Individual consumption expenditure of government, The balancing process of the SUTs serves as a central control of the quality and liability of the data. The compilation of SUTs is not solely to provide a reliable base for IOT, but also to provide a confrontation between estimates from different sources at a very detailed level. See also 18.4 data validation., The input-output table is almost entirely based on the SUT's. The only exception is the the elements of Gross Value Added; Other taxes on production, Compensation of employees and Gross surplus and mixed income that comes from other sources in the national accounts., Read more about sources, method and quality in the documentation of statistics on National Accounts: Input-Output and Supply-Use , On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Multiplier Tables , 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. , Read more about sources, method and quality in the documentation of statistics on Multiplier Tables, National Accounts: Employment and Compensation of Employees , Employment and wages in national accounts shed light on labor market developments in a way that makes it possible to compare labor market developments with developments in, for example, GDP, production, and value added, as measured in national accounts., Read more about sources, method and quality in the documentation of statistics on National Accounts: Employment and Compensation of Employees, National Accounts: Input-Output and Supply-Use , Supply and use tables are the cornerstone of the Danish national accounts. Here, data for the circulation of goods and services, between Denmark and abroad, enterprises and final consumption are organized in a way that enables full balancing. A number of national accounts variables, including GDP, are published from here. The tables are used to compile input-output tables, which detail the relationships between production, imports and uses in the economy. Conversion to an input-output model enables calculations of multiplier effects, which are indirect relationships in the economy., Read more about sources, method and quality in the documentation of statistics on National Accounts: Input-Output and Supply-Use, Need more data on Input-output?, Go on searching on your own in Statbank Denmark, and find more detailed figures, for example, on input-output-based calculations, including employment and input multipliers as well as import-adjusted growth contributions, etc., Go to the StatBank, Input-output related data for download, Input-output tables, 117 industries (zip), Input-output tables, 69 industries (with two preliminary years) (zip), Energy matrices (zip), Investment matrices (zip), Contact, Peter Rørmose Jensen, Phone: +45 40 13 51 26, Mail: , prj@dst.dk

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

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    Employed persons (RAS)

    Which industries and sectors do employed persons work in? How are they distributed by sex and ancestry? The register-based Labour Force Statistics (RAS) is an annual account of employed persons as of the end of November., Ancestry , A grouping of the population into three categories: Immigrants, descendants, and persons of Danish origin. These three groups can be further divided into persons of Danish origin, immigrants from Western countries, immigrants from non-Western countries, descendants from Western countries, and descendants from non-Western countries., Persons of Danish origin , A person - regardless place of birth - where at least one parent is Danish citizen and also born in Denmark. , Immigrant , A person who is born abroad, and where neither parent is both a Danish citizen and born in Denmark. If there is no information about either parent and the person is born abroad, they are registered as an immigrant., Descendant , A person who is born in Denmark, and where neither parent is both a Danish citizen and born in Denmark. If there is no information about either parent and the person is a foreign national, they are also considered a descendant. If at least one parent is born in Denmark and acquires Danish citizenship, the person will subsequently be registered as being of Danish origin., Western countries , Includes EU member states, Andorra, Australia, Canada, Iceland, Liechtenstein, Monaco, New Zealand, Norway, San Marino, Switzerland, the United Kingdom, the United States, and Vatican City State., Employed people by ancestry, The chart shows employed people by ancestry. Select different parts of the chart to display figures instead of percentages. , In Statbank Denmark, you can find more data on Employed (end November) (RAS308), Update and sources , Last update , 18.11.2025, Next update , 26.11.2026, Source data , Starting from the publication on April 28, 2015, RAS is based on the Labor Market Account (AMR_UN), which is a longitudinal register. In this context, RAS has been revised back to November 2008. At the same time, the dating of the statistics was changed, so that it is now dated according to the reference point at the end of November. This means that the most recent assessment is labeled as the end of November 2024, whereas previously it would have been labeled 2025. , Data in AMR_UN come from a number of other sources:, The eIncome Register, The Business Statistics Register, The Statistics on People Receiving Public Benefits, The Education Statistics, The Income Statistics, The Population Statistics, The Maternity and Sickness Benefits Statistics, The Occupational Classification Module, Before 2008, the basic data for employees came from the central information form register at SKAT, and these data were not longitudinal., Read more about sources, method and quality in the documentation of statistics on Register-Based Labour Force Statistics , Employees by working hours and sector, The chart shows the distribution of employees by working hours (full-time or part-time) and sector. Full-time employees work at least 32 hours during the reference week across all their paid employment jobs. Select the different parts of the chart to view figures instead of percentages. , In Statbank Denmark, you can find more data on Employed salary earners (end November) (RAS307), Update and sources , Last update , 18.11.2025, Next update , 26.11.2026, Source data , Starting from the publication on April 28, 2015, RAS is based on the Labor Market Account (AMR_UN), which is a longitudinal register. In this context, RAS has been revised back to November 2008. At the same time, the dating of the statistics was changed, so that it is now dated according to the reference point at the end of November. This means that the most recent assessment is labeled as the end of November 2024, whereas previously it would have been labeled 2025. , Data in AMR_UN come from a number of other sources:, The eIncome Register, The Business Statistics Register, The Statistics on People Receiving Public Benefits, The Education Statistics, The Income Statistics, The Population Statistics, The Maternity and Sickness Benefits Statistics, The Occupational Classification Module, Before 2008, the basic data for employees came from the central information form register at SKAT, and these data were not longitudinal., Read more about sources, method and quality in the documentation of statistics on Register-Based Labour Force Statistics , Employed persons by industry and sex, The chart shows the distribution of employed people by industry and sex. The industries are classified according to the Danish Industrial Classification 2007 (DB07), which is based on the EU classification (NACE). Select different parts of the chart to display figures instead of percentages. , In Statbank Denmark, you can find more data on Employed (end November) (RAS300), Update and sources , Last update , 18.11.2025, Next update , 26.11.2026, Source data , Starting from the publication on April 28, 2015, RAS is based on the Labor Market Account (AMR_UN), which is a longitudinal register. In this context, RAS has been revised back to November 2008. At the same time, the dating of the statistics was changed, so that it is now dated according to the reference point at the end of November. This means that the most recent assessment is labeled as the end of November 2024, whereas previously it would have been labeled 2025. , Data in AMR_UN come from a number of other sources:, The eIncome Register, The Business Statistics Register, The Statistics on People Receiving Public Benefits, The Education Statistics, The Income Statistics, The Population Statistics, The Maternity and Sickness Benefits Statistics, The Occupational Classification Module, Before 2008, the basic data for employees came from the central information form register at SKAT, and these data were not longitudinal., Read more about sources, method and quality in the documentation of statistics on Register-Based Labour Force Statistics , On the statistics – documentation, sources and method, Gain an overview of the purpose, contents and quality of the statistics. Learn about the data sources of the statistics, the contents of the statistics and how often they are published., See the documentation of statistics to learn more:, Quarterly Labour Force , The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Read more about sources, method and quality in the documentation of statistics on Quarterly Labour Force, Register-Based Labour Force Statistics , The purpose of the Register-Based Labour Force Statistics (RAS) is to measure the population’s primary attachment to the labour market. This attachment is recorded at the end of November and compiled once a year. The first RAS compilation was made at the end of November 1980., Read more about sources, method and quality in the documentation of statistics on Register-Based Labour Force Statistics, Need more data on Employed persons (RAS)?, Go on searching on your own in StatBank Denmark, and find more detailed figures, such as employment by age, educational attainment, municipality of residence, workplace location, family type, and socio-economic status. Quarterly statistics are also available., Go to the StatBank, Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

    https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/beskaeftigede-ras

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