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An overview of the Danish economy

Combining the selection of indicators presented below provides a general view of the state of the Danish economy. What is the growth rate of the economy and how is it going with government finances and inflation? What is the situation of the labour market and the housing market? What expectations do economic operators have for the future and what is the outlook for the green targets? Dive into the numbers by clicking the graphs., Danish economy here and now, Consumer expectations, i,   , -17.3, Dec/25, Information, ×, Consumer expectations of the economic situation of not only themselves but also Denmark as a whole, now and in one year , Consumer price index, i,   , 2.1, % Nov/25, Information, ×, Percentage change in the consumer price index total against the same month the preceding year , Core inflation, i,   , 2.3, % Nov/25, Information, ×, Percentage change in the consumer price index excl. energy and unprocessed foodstuff against the same month the preceding year , Retail trade index, i,   , 100.9, Nov/25, Information, ×, Index, 2021=100, quantity indicies seasonally adjusted , Business sentiment indicator, i,   , 101.9, Dec/25, Information, ×, Index=100 calculated as the average for the period 1998 - 2024 , Industrial production index, i,   , 128.3, Nov/25, Information, ×, Index, 2021=100, seasonally adjusted , Bankruptcies, i,   , 176, Dec/25, Information, ×, Bankruptcies in active companies, seasonally adjusted , Persons in employment, i,   , 3,072,023, Oct/25, Information, ×, Total number of employees in the business sector, seasonally adjusted , Unemployed, i,   , 88,627, Nov/25, Information, ×, Most recent number of unemployed persons from either the unemployment indicator or the gross unemployment. Seasonally adjusted, full-time persons , Other indicators, Economic growth (GDP), i,   , 2.2, % Q3/25, Information, ×, Real growth in per cent against the preceding period, seasonally adjusted , Production index of the service sector, i,   , 114.0, Oct/25, Information, ×, The change in the production index for service industries compared to the previous month. , Government surplus/deficit (% of GDP), i,   , 4.5, % 2024, Information, ×, Government EMU surplus or deficit as per cent of GDP , Government debt (% of GDP), i,   , 30.5, % 2024, Information, ×, Government EMU debt as per cent of GDP , Exports, i,   , 179,950, mio. kr. Nov/25, Information, ×, Current account revenue in million DKK from goods and services, seasonally adjusted , Balance of payments surplus, i,   , 33,555, mio. kr. Nov/25, Information, ×, Current account net revenue in million DKK, seasonally adjusted , Price development of single-family houses, i,   , 6.5, % Q3/25, Information, ×, Percentage change in the price index against the same quarter the preceding year, seasonally adjusted , Share index, i,   , 1,261, Nov/25, Information, ×, Index 1995=100 for shares in total on OMXC , Development in single-family house sales, i,   , 7.8, % Q3/25, Information, ×, Percentage change in number of sales against the same quarter the preceding year, seasonally adjusted , Price development of owner-occupied flats in Copenhagen, i,   , 13.9, % Q3/25, Information, ×, Percentage change in the price index against the same quarter the preceding year for owner-occupied flats in the city of Copenhagen, seasonally adjusted , Interest rates, i,   , 2.70, % Nov/25, Information, ×, Average bond yield for all listed bond series (government and mortgage bonds, etc.) , Greenhouse gas emissions, i,   , 38,785, 1.000 ton 2023, Information, ×, The emission of greenhouse gases stated in 1000 tonnes from Danish territory, incl. LULUCF and excl. CO2 from biomass , Share of renewable energy, i,   , 48.4, % 2024, Information, ×, Renewable energy share in per cent of total final energy consumption ,  

https://www.dst.dk/en/Statistik/temaer/overblik-dansk-oekonomi

Documentation of statistics: Continuing Vocational Training Survey (CVTS)

Contact info, Population and Education, Social Statistics , Christian Johansen , +45 21 16 49 48 , CVJ@dst.dk , Get documentation of statistics as pdf, Continuing Vocational Training Survey (CVTS) 2020 , Previous versions, Continuing Vocational Training Survey (CVTS) 2016, Continuing Vocational Training Survey (CVTS), The purpose of the CVTS survey has been to create a comparable European statistics on Continual Vocational Training and education of the employees in enterprises. The statistic constitutes a part of the strategic goal of long life learning., which is a central feature in EU's strategy to increase the competitiveness of European enterprises hen hence the economic growth., Statistical presentation, The data collected in the CVTS surveys (CVTS = Continual Vocational Training Survey) describes the enterprises activities in relation to continuing vocational training in the enterprises. The variables are specified in The European Parliament and Council Regulation No 1552/2005. Primarily it concerns the various types of training artivities, time usage and costs involved in the activities as well as planning aspects. In relation to CVTS2006 some variables are not included in CVTS2011. A few variables have been removed in CVTS2016 and a few has been simplified when compared to CVTS2011. Special COVID-19 questions were included in CVTS2020., Read more about statistical presentation, Statistical processing, Various procedures were conducted for data controlling and high quality. To assure consistency, answers which were not logic were checked and corrected by follow up by contact to the responding enterprises if necessary. Furthermore, an imputation on core variables was applied, the variables specified by Eurostat. A weighting procedure on 60 cells was applied (20 NACE categories and 3 size groups) in such a way that the sample was representative for the universe.., Read more about statistical processing, Relevance, The survey results are mainly of interest to persons engaged in the educational sector, educational institutions, ministries and business organizations., Read more about relevance, Accuracy and reliability, CVTS2006: Postal questionnaires supplemented with data from administrative registers. About 60 per cent of the returned questionnaires ended up being scanned and the rest were registered manually. The scanning of the questionnaire gave problems with the data quality for some questions, in particular concerning the questions on amounts of money, number of persons and hours. CVTS2011, CVTS2016 and CVTS2020: Web interviews in combination with telephone interviews supplemented with data from administrative registers. The survey questions about amounts of money, number of persons and hours etc. in particular gave problems with the data quality as these questions needed several persons to be involved., Read more about accuracy and reliability, Timeliness and punctuality, CVTS3: Published: 4th quarter 2007., CVTS4: Reference period: 2010. Published: 21st of Feburary 2014. , CVTS5: Reference period: 2015. Published: 21st of February 2019., CVTS6: Reference period: 2020. Published: 28th of June 2022., The period from the end of the reference period for CVTS until publication is mainly due to efforts carried out to increase response rate as well as data quality., Read more about timeliness and punctuality, Comparability, Eurostat publish data for the EU-member states for CVTS. The results are comparable across the member states as the same guidelines have been applied. The guidelines was specified by EU., Read more about comparability, Accessibility and clarity, News from Statistics Denmark and the Statbank., The CVTS results from all participating countries will be published by Eurostat on New Cronos statistical data base., Some data from CVTS2006, CVTS2011, CVTS2016 and CVTS2020 are available from the statbank: , CVTS - Statistikbanken, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/continuing-vocational-training-survey--cvts-

Documentation of statistics

Documentation of statistics: Waste Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Maria Skytte Christiansen , +45 24 25 42 07 , MCR@dst.dk , Get documentation of statistics as pdf, Waste Accounts 2023 , Previous versions, Waste Accounts 2022, Waste Accounts 2021, Waste Accounts 2020, Waste Accounts 2019, Waste Accounts 2018, Waste Accounts 2017, Waste Accounts 2016, Waste Accounts 2015, Waste Accounts 2014, Waste Accounts 2013, Documents associated with the documentation, affaldsfraktioner_oversigt_ny3 (pdf) (in Danish only), The purpose of the Waste Accounts is to provide insight into how much waste is generated in different parts of the economy, what types of waste exist, and how it is treated. The accounts also include imports and exports of waste. The Waste Accounts have been published since 2015, based on data from the Danish Environmental Protection Agency. The Waste Accounts is a part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, Waste accounts measure the amounts of generated waste distributed to 117 industry groups. Within the industry groups, waste is distributed according to categories and forms of treatment. Imports and exports of waste are distributed according to form of treatment and waste category. The waste accounts are published annually and disseminated through a press release and tables in the StatBank., Municipal waste by municipality, treatment form and waste type is compiled for the first time in 2023., Read more about statistical presentation, Statistical processing, Waste data are validated in the Danish Environmental Protection Agency before Statistics Denmark receives them. The data processing in Statistics Denmark primarily concerns the detailed and complete distribution of the waste to the 117 industry groups of the Green National Accounts., Read more about statistical processing, Relevance, Waste accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in waste, resources, economic-environmental interactions, the circular economy etc. To ensure international comparability, the waste accounts are prepared according to the UN statistical standard SEEA (System of Environmental Economic Accounting) 2012., Read more about relevance, Accuracy and reliability, The quality is good concerning the figures for total amounts of waste as well as the amounts for different forms of treatment. However, the distribution by waste fractions become more uncertain at more detailed levels, due to measurement errors (in the reporting)., The detailed distribution according to industry groups is subject to uncertainty, both in the source (ADS) and in the assumptions made in the distribution of waste to detailed industry groups. , Waste by individual municipalities is less precise than totals for the municipality groups due to waste from one municipality being treated at a facility in a different municipality, or waste stations being used by inhabitants of several different municipalities etc., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 21 months after the end of the reference period. The long production time is due to the dependency on data from the Danish Environmental Protection Agency. The statistics are normally released on schedule without delay., Read more about timeliness and punctuality, Comparability, The methods and data sources for the Waste Accounts are unchanged throughout the period covered by published figures. International comparison is possible with all other waste accounts based on UN's statistical standard SEEA 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Waste Accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/waste-accounts

Documentation of statistics

Documentation of statistics: Economics of Agricultural Activities

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Economics of Agricultural Activities 2024 , Previous versions, Economics of Agricultural Activities 2023, Economics of Agricultural Activities 2022, Economics of Agricultural Activities 2021, Economics of Agricultural Activities 2020, Economics of Agricultural Activities 2019, Economics of Agricultural Activities 2018, Economics of Agricultural Activities 2017, Economics of Agricultural Activities 2016, Economics of Agricultural Activities 2015, Economics of Agricultural Activities 2014, The purpose for this statistics for Economics of agricultural activities are to analyze the economic results for individual crops and livestock production. This also applies to horticultural crops. The statistics are based on holdings that have a work equivalent to at least 1 annual work unit (1 AWU equals 1,665 working hours). Holdings are weighted together, achieving a representative statistics for full-time farms. The basic accounts statistics for agriculture has been compiled since 1916 while the economics of agricultural activities is comparable 2021 onwards. In StatbankDK archive a time series for 2008-2021 can be found. , Statistical presentation, The statistics show economic results of production branches in agriculture. It shows results for crops and livestock on full-time farms and is based on accounting data distributed across 36 production branches. The statistics include, among other things, production value, costs, working hours and key figures. The figures are published in https://www.Statbank.dk and in "Nyt" from Statistics Denmark., Read more about statistical presentation, Statistical processing, The main source to the statistic is account information from accounting offices organized in SEGES. This information is retrieved electronically from the accounting system Ø90 supplemented with necessary additional information (eg. working hours). In addition some financial data for a small number of holdings are retrieved from other accounting offices., The holdings in the sample are checked for outliers and might be excluded in total or from certain activities. The holdings in the final sample are weighted to the population., Read more about statistical processing, Relevance, These statistics are primarily used by researchers and authorities as input into economic models and analyzes., Read more about relevance, Accuracy and reliability, By selection priority is given to farms included in the statistics several years in a row. Together with a uniform collection of data from Ø90 this ensures a high overall reliability of data. , Read more about accuracy and reliability, Timeliness and punctuality, This statistic is normally published with preliminary data within 12 month after closure of the relevant accounting year. Data are final app. three years after closure of the accounting year., Read more about timeliness and punctuality, Comparability, Data from 2021 onwards are comparable. There are no EU based systematic similar statistics for other countries., 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., For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Labour Usage in Social Care (Discontinued)

Contact info, Personal Finances and welfare, Social Statistics. , Birgitte Lundstrøm , bls@dst.dk , Get documentation of statistics as pdf, Labour Usage in Social Care 2019 , Previous versions, Labour Usage in Social Care 2018, Labour Usage in Social Care 2017, Labour Usage in Social Care 2016, Labour Usage in Social Care 2015, Labour Usage in Social Care 2014, The purpose of the statistics is to describes the staff working with nursing and care in the municipal and regional sectors and the staff working in municipal dental care and health care. The statistics are used to describe the number of employees by budget accounts from the authorized budget plan for municipalities and regions and by different kinds of occupation groups. The statistics have been compiled since 2008, but are revised in 2016. Data from 2016 and forward are not comparable to previous data. Further more the authorized budget plan has been revised in 2018. Some data are consequently not comparable to previous years., Statistical presentation, The statistics are a yearly measurement of municipal and regional staff working with nursing and care and the staff working in municipal dental care and health care. The statistics are based on information covering February only and measure the number of fulltime employees working with municipal and regional nursing and care and municipal dental care and health care. The number of fulltime employees are grouped by municipalities, regions, occupation and the authorized budget plan used by municipalities and regions., Read more about statistical presentation, Statistical processing, The statistics are based on data for February reported to the statistics of earnings for the municipal sector. Based on the authorized budget plan for municipalities and regions, institutions from the selected budget accounts, are selected. The number of fulltime employees are calculated on basis of the employees actual hours worked. The number of fulltime employees are summarized and grouped by municipalities, regions, budget accounts and selected occupations. A certain check is made concerning whether the institutions are connected to the right budget accounts and whether the occupation of the employees are considered to be correct., Read more about statistical processing, Relevance, These statistics are relevant for ministries, organizations and the public in general for planning and analysis purposes. , Read more about relevance, Accuracy and reliability, The data are associated with some uncertainty. This is primarily due uncertainty concerning connection of institutions and employees to budget accounts and connection of occupations to employees. This might cause variations over time in number of fulltime employees for the country as a whole and within municipalities. This is the case for both the total figures and when data are grouped by budget accounts and occupations. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published around 10 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, The statistics have been compiled since 2008, but is revised in 2016. Consequently data for 2016 and forward are not directly comparable to data published in previous years. The authorized budget plan for municipalities and regions is revised in 2018. Consequently some data for 2018 are not comparable to previous years. Other countries might publish similar statistics. The authorized budget plan for municipalities and regions that is used to select the relevant employees is however unique to Denmark. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank and can be found under the subject , Staff working with municipal and regional nursing and care, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-usage-in-social-care--discontinued-

Documentation of statistics

Documentation of statistics: Sales of real property

Contact info, Prices and Consumption, Economic Statistics , Jakob Holmgaard , +45 24 87 64 56 , JHO@dst.dk , Get documentation of statistics as pdf, Sales of real property 2025 , Previous versions, Sales of real property 2024, Sales of real property 2023, Sales of real property 2022, Sales of real property 2021, Sales of real property 2020, Sales of real property 2019, Sales of real property 2018, Sales of real property 2017, Sales of real property 2016, The statistics for Sales of real estate property measure the number of sales and prices of transactions of Danish real estate properties. The statistics are used for monitoring developments in the real estate market, as well as economic developments. The current price indices link back to 1992. There are price indices for previous years, but there are methodological differences., Statistical presentation, This statistics are published monthly including price and volume trends in real estate transactions, such as one-family houses, owner-occupied flats, agricultural properties and business properties. These statistics contain key figures broken down by category of real estate property, region, type of transfer, price index and period. The statistics include all registered real estate transactions, which include land, both newly built and existing properties., Read more about statistical presentation, Statistical processing, Data concerning the registration of ownership of real estate properties is collected on a monthly basis from the electronic land registration system via Datafordeleren. The data is checked for errors by Statistics Denmark. The individual real estate transactions are divided according to category of real property, region, type of transfer and period. Aggregated figures are then calculated for number of sales, average prices and the ratio between purchase price and appraisal value (spar-value). Finally, the price index is calculated., Read more about statistical processing, Relevance, There is a great interest for the published numbers among users, which follows the currently economic business cycle. The statistics of sales of real properties are relevant for the banking- and financial sector, real estate agents, politicians, researchers and the news media. The users consider the statistics for sales of real estate properties as an important economic indicator. The statistics have a high profile in the press and among other professional users., Read more about relevance, Accuracy and reliability, The precision of the price development is the result of the quality of the appraisals and of the assumptions in the SPAR-method, which seeks to correct the quality of the sold properties in order to measure the pure price development. There is no significant bias in the preliminary figures for the price development, while the preliminary figures for the average prices are underestimated, as they are not corrected for the bias in the registration pattern., Read more about accuracy and reliability, Timeliness and punctuality, The statistics for sales of real property publish preliminary quarterly and annual figures 3 months after the end of the reference period. Monthly figures are published only as final figures. Final figures are available 13 months after the end of the reference period. The statistics are published without delays in the planned releases. , Read more about timeliness and punctuality, Comparability, Comparable house sales statistics for all EU member states can be found on the , Eurostats website, where figures are published around 100 days after the end of a quarter (reference period)., Read more about comparability, Accessibility and clarity, The statistics for sales of real properties is published in , News from Statistics Denmark, . Detailed figures can be found in , StatBank, and in the [Online payment data bank](https://www.dst.dk/betalingsdatabank. Historical figures can be found in the publication series , Ejendomssalg, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-real-property

Documentation of statistics

Documentation of statistics: Social resources

Contact info, Personal Finances and Welfare , Birgitte Lundstrøm , +45 24 21 39 65 , BLS@dst.dk , Get documentation of statistics as pdf, Social resources 2022 , Previous versions, Social resources 2021, Social resources 2020, Social Resources 2019, Social Resources 2018, Social Resources 2017, Social Resources 2016, Social Ressources – Elderly and Adults 2015, Social Ressources – Elderly and Adults 2014, The purpose of the survey is to establish the available social resources (capacity, number of users, and general organization, etc.) in Danish municipalities. Furthermore, the survey analyses the social- and health-care related services administered by municipalities. These services include care for the elderly, dental services for children and young people and special institutions for children and young people etc. The social resources survey includes public and privately owned institutions. The statistics are published for the first time in 1972 but have been changed over time due to changes in legislation an user needs., Statistical presentation, Social resources is a yearly measurement of social services delivered by municipalities concerning care for elderly, adults and children and young people receiving social benefits . The data are published for Denmark as a whole. Some data are further more grouped by regions or municipalities. , Read more about statistical presentation, Statistical processing, Data are collected yearly from municipalities from six questionnaires. Data are validated against previously collected information and controlled for large variances over time. Further more data are checked for inconsistency and validated against legal developments at the area. Some data concerning age distribution are imputed where municipalities have only registered total data. , Read more about statistical processing, Relevance, The statistics are primarily of interests for the central government and various government boards and are used for estimating and planning capacity and occupancy rates within social services. Core actors and users of the survey are actively involved in adjusting the content each year which means that user needs are taken into account., Read more about relevance, Accuracy and reliability, The survey is a full-scale census based on responses from all municipalities. In some cases it is difficult for the municipalities to provide the correct data from their systems or they change their way of reporting data. In these cases data received might be less accurate of vary over time. A certain statistical uncertainty is caused by municipalities difficulties with estimating different services and caused by different administrative practices between municipalities. , Read more about accuracy and reliability, Timeliness and punctuality, Most of the information are collected for one single week in April depending on Easter. In some cases data are collected for the entire previous year. A Danish press release and a number of corresponding tables (RESI01, RESP01, RESDHJCE, RESMAD, RESANDHJ, RESPLEJV, RESPRVHJ, RESTAND) are published at the end of November then same year. The rest of the tables (RESFAMPL, RESHJMTR, RESLED, RESFDPJ, RESSBU2) are published in the Statbank at the end of March the following year. These statistics are normally published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, The survey goes back to 1972. However, due to yearly changes the version used in 1972 has little in common with the one used today. Furthermore, due to the municipal reform there was a break in times series in 2006 and 2007. The totals for the country as a whole are, however, comparable before and after the reform., Read more about comparability, Accessibility and clarity, These statistics are published once a year in a Danish press release. Further more the statistics are published in the StatBank under the subjects:, Elderly people receiving social benefits, , , Disadvantaged children and young people, , , Disability care, , , Health, Visits to physicians, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/social-resources

Documentation of statistics

Documentation of statistics: ICT Usage in Households and by Individuals

Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2025 , Previous versions, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, The purpose of the statistics ICT Usage in Households and by Individuals is to analyse the access to and use of the Internet, and to follow the development. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperation, a common Eurostat questionnaire and methodological guidelines. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, occupation, type of family etc. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that correct possible biases. The calculations are done by a regression estimator., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., 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 , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

Documentation of statistics

Documentation of statistics: Manufacturers’ Purchases of Goods and Services

Contact info, Short Term Statistics, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Manufacturers Purchases of Goods and Services 2023 , Previous versions, Manufacturers’ Purchases of Goods and Services 2022, Manufacturers’ Purchases of Goods and Services 2021, Manufacturers’ Purchases of Goods and Services 2020, Manufacturers’ Purchases of Goods and Services 2019, Manufacturers’ Purchases of Goods and Services 2018, Manufacturers’ Purchases of Goods and Services 2017, Manufacturers’ Purchases of Goods and Services 2016, Manufacturers’ Purchases of Goods and Services 2015, Manufacturers’ Purchases of Goods and Services 2014, Manufacturers’ Purchases of Goods and Services 2013, Manufacturers’ Purchases of Goods and Services 2012, The purpose of the statistics is to give detailed information about the input structure of industrial production. The input measured is raw and auxiliary materials used in the processing and production of commodities, packing materials, and purchases of services. The data are divided by detailed industrial groups (NACE-groups). , The main use of the survey is in the National Accounts., Statistical presentation, The survey describes the use of raw materials, semi-manufactured products, intermediary products, purchase of services, and packing costs in the production of industrial commodities., The statistics are distributed to groups of industries., Read more about statistical presentation, Statistical processing, The reported data are validated and aggregated. In addition, imputations are made for non-response. But there is no grossing up, and the published figures cover only the covered enterprises (at least 50 employees or yearly turnover of 100 mio. DKK)., Read more about statistical processing, Relevance, The most important user of the statistics is the National Accounts, but they are also used in research and for analytical purposes., Read more about relevance, Accuracy and reliability, The statistics have a quality concerning the description of purchases by the covered enterprises, i.e. enterprises with at least 50 employees or a yearly turn over of at least 100 million DKK. It can be considered a lack in quality that purchases by smaller enterprises are not included, as these purchases are presumably different from purchases of the largest enterprises., The statistics do not cover the entire Manufacturing industry, but only enterprises with over 50 employees or an annual turnover of DKK 100 million. DKK and thus cannot say anything about the smaller enterprises' purchases, as their purchases must be assumed to be different. The detailed distribution of the individual commodity codes is subject to some uncertainty, as these are often based on an estimate. The total purchase for the covered enterprises is less uncertain, as only less than 2 per cent of responses are missing and last year's purchases figures are used for these enterprises., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published mid-March, i.e. 10.5 months after the end of the reference period. Punctuality is very high., Read more about timeliness and punctuality, Comparability, The statistics are comparable since 2002, as no significant changes have been made since then., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/manufacturers--purchases-of-goods-and-services

Documentation of statistics

Documentation of statistics: Innovation in the private sector

Contact info, Science, Technology and Culture, Business Statistics , David Boysen Jensen , +45 61 50 73 82 , DBY@dst.dk , Get documentation of statistics as pdf, Innovation in the private sector 2024 , Previous versions, Innovation in the private sector 2022, Innovation in the private sector 2020, Innovation in the private sector 2018, Innovation in the private sector 2016, Innovation in the private sector 2015, Innovation Statistics 2014, Innovation Statistics 2013, Innovation Statistics 2012, The purpose of the innovation survey is to examine the scope, the nature and the effect of innovation in the business sector including the innovation activities. Data will be collected enabling comparisons over time. The survey is conducted in accordance with the EU and OECD guidelines for innovation statistics described in the Oslo Manual. Danish data are thereby comparable with data from other EU countries. From the reference year 2007 statistics are compiled on a yearly basis, but only directly comparable from 2020 forward., Statistical presentation, Innovation in the enterprise sector is a yearly statistics on resources used for R&D and share of innovative enterprises. The statistics is distributed by sector, size class and region., Read more about statistical presentation, Statistical processing, Data for this statistics are collected via questionnaires for app. 3,500 respondents among a population of app. 22,000 enterprises. The material is validated already during the response from the enterprise, and afterwards followed by computer-aided validation and manual validation. Imputations and calibrated weighting is also a part of the treatment of data., Read more about statistical processing, Relevance, The statistics is used by ministries, business organizations, researchers, the media, private enterprises and students. It is used for research, publications from ministries and for international comparison. Indicators based on the statistics are included in the EU European Innovation Scoreboard, which is part of the Europe2020 strategy. , Read more about relevance, Accuracy and reliability, Errors in the data reports and problems for companies with determining exact amounts that are used on innovation, and when it is innovation and innovation activities., Coefficient of variation (CV) for 2024: - Innovation expenditure, other innovation expenditure: 2%, Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published less than a year after the end of the reference period. The statistics for 2024 is published 11 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics is comparable from 2007 and onwards. Data is delivered to Eurostat, the statistical office of the EU, and to OECD, who are both publishing aggregated data in their databases., The statistics is compiled according to an EU-regulation, describing in details which variables to deliver and for which size classes, types of activities etc. The Danish statistics is therefore comparable with the similar statistics of other EU-countries, provided that they follow the regulation., The statistics is to a certain degree comparable with the statistics on innovation in the public sector., Read more about comparability, Accessibility and clarity, The statistics is 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 , Innovation, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/innovation-in-the-private-sector

Documentation of statistics