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Documentation of statistics: Energy consumption in manufacturing industries

Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Energy consumption in manufacturing industries 2024 , Previous versions , Energy consumption in manufacturing industries 2023, Energy consumption in manufacturing industries 2022, Energy Consumption 2020, Energy Consumption 2018, Energy Consumption 2016, Energy Consumption 2014, Energy Consumption 2012, Documents associated with the documentation , Oversigt over energitypers energiindhold pr. mængdeenhed (xlsx) (in Danish only), The purpose of the energy census for the manufacturing industry is to analyze volume and composition of the energy consumed by the manufacturing industry., Data on energy consumption by manufacturing industry is provided bi-annually from 1980 and latest 2018, 2020, 2022 and 2024., Statistical presentation, The energy census for the manufacturing industry covers all work places in industrial companies with at least 20 employees. That is equivalent to approximately 90 per cent of the energy consumption by manufacturing. It covers in principle the consumption of all energy sources in the production excl. external transport., Read more about statistical presentation, Statistical processing, Data is collected every two years from companies in industry and parts of the raw material extraction with at least 20 employees. The data undergoes a thorough error check, among other things to ensure correct unit statements and by comparing with the previous year. For workplaces subject to the CO2 quota scheme, the figures are compared with their reported energy consumption. The error-checked data is collected and adjusted by replacing missing information for 1-3 percent of the companies., Read more about statistical processing, Relevance, The results from the energy census are used by Statistics Denmark to compile energy balances that are used in the national accounts. , Furthermore, the parties involved in energy planning, for instance municipalities, counties, the Energy Agency and affected supply companies, need the information., A number of industrial associations, private companies and research institutes have also expressed an interest in the results. Furthermore, the energy census is used for energy statistics compiled by the International Energy Agency (IEA)., Read more about relevance, Accuracy and reliability, In general the quality of the statistics is good - especially main figures which builds on aggregates., At a more detailed level, the results are more uncertain, mainly due to measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, Results are published no later than eight 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 on energy consumption by manufacturing industry is provided from 1980 and the concept has almost been kept since. , Time series can be found in The Statbank for the years since 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 the subject , Energy consumption, . For further information, go to the , subject page, . , Customised extracts from the statistics can be ordered. Researchers and other analysts from authorized research institutions can be granted access to the underlying microdata by contacting , Research Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-consumption-in-manufacturing-industries

Documentation of statistics

Documentation of statistics: Environmental Protection Expenditures

Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions , Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

Documentation of statistics

Construction

Employment and turnover in construction, Shows the number of persons employed in workplaces in Denmark with construction activities., Construction activity, Shows the construction activity requiring a building permit, stated as total floor area and number of dwellings., Building stock, The statistics include information about the buildings’ use, size, ownership, year of construction, type of heating and location., Indices for the construction sector, Shows the development in the cost of housing construction and civil engineering projects as well as statistics on productivity in the construction sector.

https://www.dst.dk/en/Statistik/emner/erhvervsliv/byggeri-og-anlaeg

Subject page

Documentation of statistics: Patents (Discontinued)

Contact info, Science, Technology and Culture , Ole Olsen , OLO , OLO@dst.dk , Get documentation of statistics as pdf, Patents 2017 , Previous versions , Patents 2014, Patents 2013, The purpose of collecting data on trade in IP-rights is to estimate the size of and the development in the trade and use in Intellectual Property Rights (patents, trademarks, design, utility models) of Danish enterprises. These statistics was established on 2008 in cooperation with the Danish Patent and Trademark Office., Statistical presentation, In the statistics are shown trade with IP-rights as well as the enterprises administration and use of these rights. Voluntary questions are to some extend included in surveys., Read more about statistical presentation, Statistical processing, Annual data collection from a sample of 3,000 enterprises out of 17,000 with more than 10 FTE (Full Time Employed). The enterprises are grouped in 45 strata, each subdivided in two (prioritized/not prioritized), The final weights are compiled according to total number of enterprises in each strata and the number of responding enterprises. In case unreliable data are observed, clarification is made via contact to the enterprises., Read more about statistical processing, Relevance, Statistics on trade in IPR meets some of the clients needs. Some clients could like to know the value of trade, which is not collected from enterprises. The Danish Patent and Trademark Office and business associations are main users of the results., Read more about relevance, Accuracy and reliability, The IP-rights traded is in some cases based on an estimate from the respondent, and therefore there are some uncertainty connected with the raised figures. Further, the sample strategy itself leads to uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, Yearly as scheduled no later than a year after reference year., Read more about timeliness and punctuality, Comparability, The Danish Patent and Trademark Office compile statistics on applications for IP-rights., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Innovation and patents, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Corporate Taxation

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2024 , Previous versions , Corporate Taxation 2023, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, In the StatBank the figures are published under , Corporation taxation, . Information about the statistics can be found on , the subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

Documentation of statistics

Documentation of statistics: Stock account for fish and shellfish

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Stock account for fish and shellfish 2025 , Previous versions , Stock account for fish and shellfish 2024, Stock account for fish and shellfish 2023, Stock account for fish and shellfish 2022, Stock account for fish and shellfish 2021, Stock account for fish and shellfish 2020, Stock account for fish and shellfish 2015, The stock account for fish and shellfish shows the development in the natural aquatic resources and in aquaculture. The accounts document the development in stocks, growth in stocks, catch/harvest of fish and shellfish for consumption and export of living fish as well as reduction in stocks., Statistical presentation, The stock account for fish and shellfish consist of a physical account for natural aquatic resources, as well as a physical and monetary account for aquaculture. These statistics act as a module in the Environmental-Economic Accounts for Denmark., Read more about statistical presentation, Statistical processing, Statistics Denmark prepares resource accounts for fish and shellfish based on data and quotas and catches compiled by The Danish Fisheries Agency, information on fish stocks developed by International Council for the Exploration of the Sea (ICES), information on aquaculture compiled by The Danish Fisheries Agency., Read more about statistical processing, Relevance, Stock accounts for fish and shellfish are relevant for national authorities, scientific researchers, organizations, enterprises, the educational sector and anyone with an interest for aquatic resources. . The UN and similar organizations focus on environmental-economic accounts within the statistical framework called System of Environmental-Economical Accounting (SEEA). , Read more about relevance, Accuracy and reliability, The resource account for natural aquatic resources cover approximately 90 pct. of the Danish stock calculated based on the catch in 2021. The missing coverage can be explained by insufficient information on less important species. The resource account for aquaculture is assessed to cover 100 pct. of the Danish stock ad the fish farms are obliged to report to the authorities annually., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 12 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The methods and data sources for these statistics are unchanged throughout the period covered by published figures from 2010 and onwards. International comparison is possible with all other national resource accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank. In the StatBank, these statistics can be found under the subject , Natural resource accounts, . For further information, go to the subject page on , Environmental-Economic Accounting, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/stock-account-for-fish-and-shellfish

Documentation of statistics

Documentation of statistics: Labour Costs for Corporations and Organizations

Contact info, Labour Market, Social Statistics , Sam Blanch , +45 23 63 60 44 , SLB@dst.dk , Get documentation of statistics as pdf, Labour Costs for Corporations and Organizations 2024 , Previous versions , Labour Costs for Corporations and Organizations 2023, Labour Costs for Corporations and Organizations 2022, Labour Costs for Corporations and Organisations 2021, Labour Costs for Corporations and Organizations 2020, Labour Costs for Corporations and Organizations 2019, Labour Costs for Corporations and Organizations 2018, Labour Costs for Corporations and Organizations 2017, Labour Costs for Corporations and Organizations 2016, Labour Costs for Corporations and Organizations 2015, Labour Costs for Corporations and Organizations 2014, Labour Costs for Corporations and Organizations 2013, The purpose of the statistics of total labour costs for corporations and organizations is to monitor trends and the level of the total labour costs broken down by industry, occupation and main components. The statistics on total labour costs are published once every year and are used to compare the total labour costs across industries and occupations., Statistical presentation, The labour costs for the private sector is published for 9 of the main class of industries in addition to 9 different types of occupation. Data on earnings are obtained from the annual structure of earnings survey for the private sector, which is based on a full-scale survey comprising business enterprises with more than 10 full-time employees, while other labour costs are based on a special sample survey for enterprises with 10 or more employees, also including apprentices and employees under the age 18. The labour costs comprise each employee's total earnings in connection with his/her job and other labour costs that are not considered to be an income for an employee., Read more about statistical presentation, Statistical processing, Data concerning the employees' earnings and wage are collected for each individual employee, while data on the other costs of the enterprise is collected at the level of the enterprise. Other labour costs are distributed on to the employees on the basis of a distribution formed by regulation and logical reasoning. The total labour costs per employee is calculated as the sum of all wages and the sum of other labour costs divided by the number of employees., Read more about statistical processing, Relevance, The labour costs are used by enterprises to compare costs associated with having people employed, with the costs of other enterprises with similar type of employees. The comparison is often done within a certain branch of economic activity or for a certain type of work. In addition, the statistics can be used to compare labour costs across EU-member countries. , Read more about relevance, Accuracy and reliability, The statistics are based on information about both earnings and other labor costs. Earnings account for the vast majority of total labor costs. The other costs mainly include mandatory contributions. Data is collected from a sample of companies with more than nine employees, and almost all submissions are included in the final statistics, which are only published with final figures, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once every year around august. There are normally no delays in publishing the statistics., Read more about timeliness and punctuality, Comparability, Due to changes in the compilation method, comparisons with statistics prior to 2014 are not possible. Owing to the fact that labour costs since 2002 are distributed per employee and not per enterprise as previously done, comparisons with statistics compiled before 2002 is not possible. Also, the statistics on labour costs for 1997-2001 are only to a limited extent comparable to those before 1997, which has to do with the application of a new method starting from 1997., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the StatBank under the subject , Labour costs, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-costs-for-corporations-and-organizations

Documentation of statistics

Sustainable Development Goals

In 2015, the UN's 193 member states - including Denmark - adopted 17 Global Goals, also called Sustainable Development Goals or SDGs. Statistics Denmark’s SDG platform shows, for a large number of indicators, the fulfillment of the Global Goals for Denmark

https://www.dst.dk/en/Statistik/temaer/SDG/globale-verdensmaal

Documentation of statistics: Social benefits for senior citizens

Contact info, Personal Finances and Welfare, Social Statistics , Marie Borring Klitgaard , MGA , MGA@dst.dk , Get documentation of statistics as pdf, Social benefits for senior citizens 2025 , Previous versions , Social benefits for senior citizens 2024, Social benefits for senior citizens 2023, Social benefits for senior citizens 2022, Social benefits for senior citizens 2021, Social benefits for senior citizens 2020, Elderly - Indicators 2019, Elderly - Indicators 2018, Elderly - Indicators 2017, Elderly - Indicators 2016, Elderly - Indicators 2015, Elderly - Indicators 2014, Elderly - Indicators 2013, Documents associated with the documentation , Kommentarer til 2024 - korte udgaver (xlsx) (in Danish only), Kommentarer til 2025 - korte udgaver (xlsx) (in Danish only), The purpose of these statistics is to display the quality level of municipal services in the elderly care. The statistics are a part of a cross-public cooperation, intended to ensure coherent documentation of important areas of municipal service, as well as to increase the comparability of the services provided in the different municipalities. The statistics are used to determine impact targets, frameworks and results requirements for key management initiatives and are comparable from 2008 onwards. Statistics Denmark is responsible for the composition and publication of the statistics., Statistical presentation, The statistic for 2025 covers data from the first 6 months of 2025. The statistic is an annual survey including a number of national impact- and background indicators which document and describe the quality of the municipal effort at the elderly area. The indicators consist of referral and provided home care, home nursing, nursing homes, exercise services, rehabilitation and preventative home visits. Primarily, the indicators are targeted at the elderly area, however home care, exercise services, home nursing as well as nursing homes also include data for citizens under 67 years., Read more about statistical presentation, Statistical processing, Before publishing data from the municipalities' EOJ system (electronic care journal), tables and figures are developed, which all municipalities are asked to approve. After the approval, Statistics Denmark detects for data errors as missing numbers, abnormal values and etc., Read more about statistical processing, Relevance, The authorities and public institutions and the population use the indicators for analysis, research, debate, etc. The focus is to ensure more valid documentation at the elderly area. This is achieved by retrieving the information directly from the municipalities' care systems (EOJ), which is constantly updated as a part of the municipalities' case management., Read more about relevance, Accuracy and reliability, The municipalities receive control tables, which they are asked to approve. Only approved information is included in the statistics. In the absence of approvals, previous years' information is included in the national totals and averages. For the publication for the first 6 months 2025, between 97 and 98 municipalities are included, depending on the indicator. Lack of approval may be due to the municipality's registration practices, which determine which data is reported, and system or supplier changes, where the reported data may be flawed. There are varying registration practices between municipalities in several areas, which can lead to distortions., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published as pre-advertised. The statistics are released approximately 6 months after the reference period has ended. , Read more about timeliness and punctuality, Comparability, The statistics are generally comparable over time, but there are minor data breaks. The municipalities' change of EOJ provider every five years can affect certain indicators. As of October 1, 2023, new reporting requirements for food service and supplier types resulted in a data break in the statistics on designated home care. Therefore, the figures for 2023 should be compared with previous years with reservations. For hospital usage, there has been no adjustment for the severity of diseases, which affects the comparability between municipalities., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . The figures are published in the StatBank under the subject , Social benefits for senior citizens, . See more on the subject page for the , Social benefits for senior citizens, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-benefits-for-senior-citizens

Documentation of statistics

Documentation of statistics: Income Statistics

Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, Income Statistics 2025 , Previous versions , Income Statistics 2024, Income Statistics 2023, Income Statistics 2022, Income Statistics 2021, Income Statistics 2020, Income Statistics 2019, Income Statistics 2018, Income Statistics 2017, Income Statistics 2016, Income Statistics 2015, Income Statistics 2014, Income Statistics 2013, Documents associated with the documentation , Imputering af huslejenedsættelser i 2024 (pdf) (in Danish only), The purpose of the income statistics - is to provide statistics on the population's incomes and tax payments as well as the distribution of incomes. The statistics are useful in the field of social sciences and form the basis for effective policymaking in areas that affect the economic situation of the households. Statistics Denmark has published statistics on income since 1905 and has coherent time series going back to the 1980’s., Statistical presentation, The income statistics are based on a full-population register. It contains information on annual incomes at both the personal- and family level as well as data on the distribution of income. The income is available both pre- and post taxes and can be split into subcategories such as primary income, transfers, property income and taxes. In the income statistics the population is divided into groups by age, socio-economic status, gender, municipalities (NUTS-3), type of family and into income intervals., Read more about statistical presentation, Statistical processing, Data is collected and published yearly. The primary source is administrative data from the Danish tax authorities. Using secondary sources from the municipalities and unemployment funds the incomes are subdivided into more detailed types of income. Finally other registers in Statistics Denmark, such as the population register, provide background information., In case of inconsistencies between data sources on the total income amounts, the data are fitted to match the level of the tax authorities, which are assumed to be correct., Read more about statistical processing, Relevance, The primary users of the income statistics are ministries, municipalities, research institutes and the media. An annual meeting with some of the users of the main welfare statistics is held in Statistics Denmark. On a daily basis users call with questions related to the statistics or comment on our publications on social media. Through these interactions with the users we continually assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, The quality is in general considered to be very good for the income types included in the statistics as data have been validated by the tax authorities. Undeclared incomes, winnings in lotteries etc. may result in a mismatch between actual and registered income., As the income statistics are based on full-population registers, there are no sampling errors., In 2025 data is extracted in August. Thus revisions after this date will not be taken into account in the income statistics., Read more about accuracy and reliability, Timeliness and punctuality, Most tables on income statistics are published in September, nine months after the end of the income reference year along with the annual newsletter. Socio-economic status, imputed rent, disposable income and income distribution indicators are published in November. , The statistics have usually been published as planned., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time, but special circumstances affect individual years. COVID-19 and aid packages are important in 2020-2021. In 2022, one-off payments due to inflation are included, and in 2024, 1 month's free rent for certain rental housing units is included as housing benefit. Holiday funds give differences compared to the national accounts 2018-2021. The statistics were revised in 2013 with retroactive effect to 1987. Internationally, Eurostat and OECD are the recommended sources, but income concepts vary., Read more about comparability, Accessibility and clarity, These statistics are 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 the subject , Income and earnings, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-statistics

Documentation of statistics