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    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: Drug Abuse Treatment

    Contact info, Personal Finances and Welfare, Social Statistics , Ferdinand Roesen , +45 21 45 48 43 , FER@dst.dk , Get documentation of statistics as pdf, Drug Abuse Treatment 2025 , Previous versions , Drug Abuse Treatment 2024, Drug Abuse Treatment 2023, Drug Abuse Treatment 2022, Drug Abuse Treatment 2021, Drug Abuse Treatment 2020, Drug Abuse Treatment 2019, Drug Abuse Treatment 2018, Drug Abuse Treatment 2017, Drug Abuse Treatment 2016, Documents associated with the documentation , Imputering 2018-2020 (pdf) (in Danish only), The purpose of the statistics is to shed light on drug abuse treatment in Denmark provided by municipalities to citizens under Section 101 of the Social Services Act, Section 142 of the Health Act, and Section 33 of the Child Act. The statistics are used, among other things, to account for the number of citizens in drug abuse treatment, the number and types of drug abuse treatments, and to monitor adherence to the 14-day treatment guarantee from request to initiation of treatment. , These statistics have been compiled since 2015, and data quality has been continuously improved. With the release of the 2025 figures, national totals for the period 2018–2025 will be published for the first time., Statistical presentation, These statistics are a annual measurement of the municipalities' drug abuse treatments activities initiated by the municipalities calculated in terms of number of activities (request, initiation, ended treatment courses), courses and persons. These statistics are grouped by regions, municipalities, sex and age groups., Read more about statistical presentation, Statistical processing, Data for these statistics are continuously collected municipalities directly to SMDB or automatically through system-to-system solutions via the municipality's administrative IT-system., Data are validated extensively by asking the responsible municipality to check their reported data online for validation and approval. Hereafter, we initiate validation processes that e.g. remove persons with invalid social security numbers or who have ended their treatment because they died., Read more about statistical processing, Relevance, The statistics are relevant to anyone with an interest in the field of drug abuse, including researchers, municipalities, drug abuse treatment providers, regions, ministries, as well as interest organizations. The statistics provide concrete knowledge about publicly referred and paid drug abuse treatment in Denmark and contribute more generally to an understanding of the drug abuse field. The data foundation is used for research purposes and internationally within the EU framework, but also in policy contexts by, for example, the Ministry of Social Affairs and the Ministry of Health and Interior to formulate new policies in the field of drug abuse., Read more about relevance, Accuracy and reliability, The overall accuracy and reliability of the statistics are being continuously improved. Unlike previous years, full coverage has been achieved for the reference years 2021–2025, meaning that all 98 municipalities have approved their data. In connection with the release of the 2025 data, values for two municipalities for the years 2018, 2019, and 2020 have been imputed. As a result, national totals are published for the first time for all years from 2018 to 2025., In general, some uncertainty remains due to variations in municipal reporting practices and incomplete registrations., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published without any delays relative to the scheduled release dates., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2015–2025 and are comparable throughout the entire period for municipalities that have approved their reports for the census year., Comparability over time is affected by differences in municipal registration practices, interpretation of questions, and changes in reporting requirements. At the same time, data quality has improved over time through enhanced validation and dialogue with the municipalities., International comparisons are handled by the Danish Health Data Authority and the Danish Health Authority., When comparing over time, it should be noted that there are differences in registration practices among municipalities, and certain questions may be interpreted differently depending on the case worker completing the forms. Furthermore, changes in reporting requirements over time and the transfer of substance abuse treatment to different authorities may affect comparability. As of January 1, 2024, the Enrollment, Services, and Discharge forms became voluntary to report, and as of January 1, 2025, they will no longer be possible to report. Therefore, the register SMDB_IBIB has been closed., In addition, when comparing data over time, it should be taken into account that data quality is generally considered to have improved over time as a result of a more intensive, continuous, and targeted validation process, as well as the introduction of the SMDB web reporting system., 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 , Drug abuse treatment, . For further information, go to the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/drug-abuse-treatment

    Documentation of statistics

    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: 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: Electricity and natural gas prices

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Henrik Huusom , +45 40 38 36 43 , HHU@dst.dk , Get documentation of statistics as pdf, Electricity and natural gas prices 2026 , Previous versions , Electricity and natural gas prices 2025, Electricity and natural gas prices 2024, Electricity and natural gas prices 2023, Electricity and natural gas prices 2022, Electricity and natural gas prices 2021, Electricity and natural gas prices 2020, Electricity and natural gas prices 2019, Electricity and natural gas prices 2018, The statistics shows prices of natural gas and electricity, within break downs into size groups of consumers, business and household respectively. Prices are shown, without and with taxes and VAT. The prices are to be comparable across EU countries for the benefit of a well functioning single market. The statistics has been compiled since 2007 in the present way., Statistical presentation, Natural gas and electricity prices are overall compiled for household customers and business customers, in practice consumers which are non-households. The prices are compiled for the customers broken down use per year. Some price elements are very depending of the amount of use. Prices are compiled biannual in four levels: Price at energy company, Price incl. supply, Price incl. non-recoverable taxes, 3. Prices including all taxes and VAT, as the final price are composed of several elements. The main collection and compiling of data is done by the Danish Energy Agency. , Read more about statistical presentation, Statistical processing, The data is collected from sales companies. Furthermore, public available information from distributers isused , supplemented by actual fees and taxes plus schemes for recovering. Some elements in the prices are partly based on estimates and not registered payments. The collected prices on energy plus information from distributers and the Tax authority on tariffs, taxes and VAT, respectively, are compiled to fulfill the definitions on the four price levels., Read more about statistical processing, Relevance, Natural gas and electricity costs are important to most citizens and enterprises and also in regards to the competitive situation among EU countries. Therefore, it is relevant with reliable, transparent and comparable price statistics at important energy product., Read more about relevance, Accuracy and reliability, The product prices for electricity and natural gas are based on a total census. However, there may be uncertainty in the composition of different data components, as they do not always follow the same groupings. Payments on account may result in minor accrual shifts in natural gas prices. In addition, distribution costs may be difficult to calculate precisely in relation to the actual average deliveries to customers. The statistics are based on certain model assumptions, including the behavior of companies eligible for reimbursement and households' use of electric heating. Overall, however, the uncertainty is assessed to be low, and any errors or deviations are corrected on an ongoing basis., Read more about accuracy and reliability, Timeliness and punctuality, The results have to be compiled three month after end of reference period, i.e. end of March and end of September, respectively., Read more about timeliness and punctuality, Comparability, The results are fully comparable over time from 2015 and onwards. For previous years there are also high comparability, in particular for largest size groups (non-households). Prices since 2007 are in Eurostats databank., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Energy prices, . See also the , subject page, ., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/electricity-and-natural-gas-prices

    Documentation of statistics

    Documentation of statistics: Pigs

    Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Pigs 2026 , Previous versions , Pigs 2025, Pigs 2024, Pigs 2023, Pigs 2022, Pigs 2021, Pigs 2020, Pigs 2019, Pigs 2018, Pigs 2017, Pigs 2016, Pigs 2015, Pigs 2014, The statistics on the stock of pigs shows the total number of pigs in Denmark. It aims, among other tings, to form a basis for forecasting future slaughters and future stock of sows. The statistics are also used for different economic and environmental estimations and analyses. The stocks of pigs have been compiled since 1915 but with slightly different methods used over time. The last change was in 01 April 2018. The difference in the number of pigs for new and the old method of analysis is below 1 per cent. The statistics are considered to be comparable from 1998 onwards. , Statistical presentation, The pig survey are a sample survey published every quarter as the numbers of pigs in Denmark. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank. The data series with the total stock of pigs (pigs, total) are only published without seasonal adjustment from 2020. , Read more about statistical presentation, Statistical processing, Data for the pig survey is collected by means of web questionnaires or by means of the system to system solution AgroVision or Danish Crown Data. A sample little below 1.200 holdings with pigs according to the The Central Husbandry Register (CHR) is selected. The survey is a sample survey divided into groups (strata) by the size of pigs and types of pigs on the single holding. Farms with many pigs are selected every time. The answers are validated for unrealistic values and next the sample is extrapolated to the total population of all farms with pigs. , Read more about statistical processing, Relevance, The pigs survey is of great interest to EU, the Ministry of Environment and Food, The Danish Association of Slaughterhouses and others farmer´s organizations, but also students and interested people in general. The most important purposes of pig surveys are to provide a basis base for forecasts of pigs for slaughter. The statistics are used in financially and environment studies. , Read more about relevance, Accuracy and reliability, The greatest factor of inaccuracy is updating and matching of the different registers. The relative standard deviation - sampling errors - for pigs is 0.5 per cent to 1.5 per cent. A maximum of 5 per cent has to be observed to meet EU's requirements. As part of a quality assessment statistical errors are calculated for all variables., Read more about accuracy and reliability, Timeliness and punctuality, The figures are usually published without delay in relation to the scheduled data, however with some exceptions in 2012 and 2013., Read more about timeliness and punctuality, Comparability, The pig surveys have been conducted in their present form since April 1974, but the number of pigs have been conducted at varying points in time and frequency since 1915. , Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and quarterly in the Statbank under the subject [Farms with livestock]http://www.Statbank.dk/20472). For further information, see the , subject page, . Data with long timeseries can be find on , Livestock (historic) by type of livestock, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Protected buildings and ancient monuments

    Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Protected buildings and ancient monuments 2024 , Previous versions , Protected buildings and ancient monuments 2022, Protected buildings and ancient monuments 2021, Protected Buildings and Ancient Monuments 2020, Protected Buildings and Ancient Monuments 2019, Protected Buildings and Ancient Monuments 2018, Protected Buildings and Ancient Monuments 2017, Protected Buildings and Ancient Monuments 2016, Protected Buildings and Ancient Monuments 2015, Protected Buildings and Ancient Monuments 2014, The purpose of the statistics is to provide a comprehensive overview of the Danish protected buildings and ancient monuments, including new protections and de-protections. Data for protected buildings are from 2012 and data for protected ancient monuments are from 2010. Buildings in Denmark have been protected since 1918. , Statistical presentation, The statistics show the number of protected buildings and ancient monuments, including distribution of protected buildings by provinces of the country and construction year in 50 year ranges. The statistics also show the number of new protections and de-protections., Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing., Read more about statistical processing, Relevance, The users include municipalities, organizations and students. There is not carried out a user satisfaction survey to the statistics., Read more about relevance, Accuracy and reliability, The registration in the register of both listed buildings and ancient monuments is done manually and with a certain delay in relation to the decision of conservation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in mid-February and are usually published in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, There are no reservations regarding comparability over time., Read more about comparability, Accessibility and clarity, The statistics are published in the (StatBank Denmark) (http://www.Statbank.dk)., Tables: KFRED1: Protected buildings by region, type of building and year of construction. KFRED2: Protected ancient monuments by region and farm category. KFRED3: New protections and de-protections by unit and region., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/protected-buildings-and-ancient-monuments

    Documentation of statistics