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Documentation of statistics: National Accounts: Fixed Capital Stock

Contact info, National Accounts, Climate and Environment, Economic Statistics , Jonas Johansen Næsby , +45 29 44 68 24 , JJN@dst.dk , Get documentation of statistics as pdf, National Accounts Fixed Capital Stock 2024 , Previous versions, Fixed Capital Stock 2021, Fixed Capital Stock 2021, Fixed Capital Stock 2019, Fixed Capital Stock 2018, Fixed Capital Stock 2017, Fixed Capital Stock 2016, Fixed Capital Stock 2014, The purpose of the statistics is to provide a detailed picture of the economy’s total production apparatus and the part of national wealth that is held in fixed assets. Fixed assets are compiled in accordance with the guidelines in the European System of Accounts, ESA 2010, and are based on the national accounts series for investment. Fixed assets according to ESA 2010 were published for the first time in September 2014., Statistical presentation, The statistics on fixed assets comprise six variables that are compiled both at current prices and in chain-linked values. Exceptions are other changes in the volume of non-financial assets, which are not compiled in chain-linked values, and revaluations, which exist only in current prices. The six variables are: Gross capital stock of fixed assets, Net capital stock of fixed assets, Gross fixed capital formation, Consumption of fixed capital, Other changes in the volume of non-financial assets and Revaluations., Read more about statistical presentation, Statistical processing, Fixed assets are compiled using gross fixed capital formation, historical stocks and assumptions on service lives and depreciation. Investment data stem from business statistics, administrative registers and sector-specific sources, supplemented by BBR, the Motor Register and R&D statistics. Service lives follow European recommendations. Data are validated against industry and sector series and through a final macro-assessment. From 2021, all asset types are compiled using PIM based on harmonised benchmark stocks., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. National accounts are used as the basis for analyzing the economic development., National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, A certain degree of uncertainty is linked to the data sources and the assumptions used in the compilation of fixed assets. Consistent methods and the integrated processing of sources help ensure stable results over time. Until 2020, buildings and transport equipment were compiled using direct stock methods, which generally provided a solid basis. The shift to a fully harmonised PIM approach from 2021 may introduce slightly higher uncertainty. Quality management and revisions follow the CoP, QAF and established procedures., Read more about accuracy and reliability, Timeliness and punctuality, The first version of the annual national accounts, including fixed assets, is published at the end of June in the year following the reference year. Final annual national accounts figures are published annually approximately 2.5 years after the reference year., Read more about timeliness and punctuality, Comparability, Comparisons with other statistics at a detailed industry level will often show differences, partly because of differences in definitions of variables, and partly because of the calendar year delimitation of the national accounts and its requirement of total coverage of the economic activity., Internationally there is a high degree of comparability with the national accounts of other countries because the Danish national accounts are compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank under , National accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--fixed-capital-stock

Documentation of statistics

Documentation of statistics: National Accounts: Household Consumption Expenditure

Contact info, National Accounts, Climate and Environment, Economic Statistics , Mercedes Sophie Louise Bech , +45 51 53 61 56 , mcb@dst.dk , Get documentation of statistics as pdf, National Accounts Household Consumption Expenditure 2024 , Previous versions, Household final consumption expenditure (HFCE) is a central component of the national accounts and reflects households’ purchases of goods and services. The national accounts provide a comprehensive description of the economy as well as the transactions occurring between households, businesses, public institutions, and abroad., Consistent time series for annual HFCE figures are available from 1966, and quarterly figures are available from Q1 1990., Statistical presentation, The statistics cover household consumption of goods and services. The figures are presented in StatBank and Nyt fra Danmarks Statistik, giving users the opportunity to analyze consumption patterns and the contribution of different sectors to total household consumption., Read more about statistical presentation, Statistical processing, A set of economic statistics is used for the households final consumption expenditure. The first estimate for a period is prepared before all information is available and is based on the structure of the most recent final national accounts, with imputations using indicators such as short-term economic statistics. New sources are continuously incorporated according to a set schedule, and three years after the reference period, the national accounts and their functional distribution are considered final., Read more about statistical processing, Relevance, Household final consumption expenditure (HFCE) is relevant for all analyzing private consumption and its economic significance. This includes ministries and public authorities, which use HFCE for planning, trends, forecasts, and modelling; industry and interest organizations for analyzing consumption patterns; and researchers, journalists, and the public seeking insight into household consumption over time. User feedback is continuously considered to keep the statistics relevant and useful., Read more about relevance, Accuracy and reliability, Household final consumption expenditure depends on the uncertainty of sources and the assumptions used. Some components, like retail trade, are measured accurately, while others, such as imputed rent and undeclared work, are more uncertain. Early estimates are less precise, and ongoing revisions improve HFCE’s accuracy and reliability., Read more about accuracy and reliability, Timeliness and punctuality, The first version of a preliminary annual national account for Households final consumption expenditure (HFCE) is published at the end of February the following year. The annual accounts are then revised in March and June, and again in June of the subsequent year. The final national accounts for HFCE are published two and a half years after the reference year., Read more about timeliness and punctuality, Comparability, Household final consumption expenditure (HFCE) is part of the national accounts and compiled according to international guidelines, ensuring cross-country comparability. Covering the period from 1966, it reflects households’ purchases of goods and services and is based on various underlying sources. Direct comparisons with other statistics can be difficult due to differing definitions, but HFCE is fully consistent with the overall national accounts., Read more about comparability, Accessibility and clarity, Information on household consumption expenditure is published in StatBank under the subjects Economy and National Accounts. The releases are accompanied by , Nyt fra Danmarks Statistik, , which provides current perspectives and selected commentary. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--household-consumption-expenditure

Documentation of statistics

Documentation of statistics: Income and consumption distribution in the household sector (experimental statistics)

Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Income and consumption distribution in the household sector (experimental statistics) 2022 , Previous versions, The purpose of the statistics is to bring together the benefits from the national accounts system, which provides a coherent description of the economy, and from microeconomic statistics on households, so that one can take a closer look at how incomes and consumption are distributed between different types of households., Statistical presentation, The distribution of income and consumption for the household sector of the national accounts is an experimental annual calculation of income and private consumption at household level, which is aggregated by quintiles and household types. The survey covers private households in Denmark., Read more about statistical presentation, Statistical processing, Virtually all economic statistics that are available are used for the national accounts. When new sources are ready, they are continuously incorporated into the national accounts according to a fixed rhythm. Three years after a given period, the national accounts are considered final., The consumption survey is a sample survey, where the number of households is 2,200 out of Denmark's total of approx. 2.8 million private households. From 2024, 3,200 will be asked. The study includes information from three data sources: Accounts, CAPI interviews and registers., Read more about statistical processing, Relevance, The statistics are relevant to everyone who deals with socio-economic conditions for households., Read more about relevance, Accuracy and reliability, The ability of the national accounts to accurately describe economic reality depends partly on the uncertainty associated with the sources and partly on the model assumptions underlying the preparation. Some parts can be calculated more precisely than others, as there is better access to source data. The first estimates of a period's national accounts will be more uncertain than the final version, which comes after three years, as they are continuously revised when new sources become available., The participation rate for the Consumption Survey in the years 2018-2022 has varied with . This creates uncertainty, not least for detailed consumption groups. For the total consumption, this means that there is an uncertainty margin of +/- 1.2 per cent. while for bread, for example, it is 2 per cent. For Food and non-alcoholic beverages, it is 1.2 per cent. , while for Alcoholic beverages and tobacco it is 4.8. There is under-reporting in a number of areas such as alcohol, tobacco, prostitution and undeclared work. The uncertainty is greater when data is based on accounting instead of interviews, and it will be greater if you look at smaller subgroups of households. , In these statistics, we have chosen a more general level to ensure greater consistency between the national accounts and the consumption survey, as well as to minimize uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The statistics were first published approx. 23 months after the end of the reference year., Read more about timeliness and punctuality, Comparability, The national accounts and the consumption survey are carried out according to guidelines from the European statistical office Eurostat. Comparable figures are published by Eurostat. The distributional figures are still experimental in both Eurostat and Denmark., Read more about comparability, Accessibility and clarity, In the Statistics Bank, the results of the statistics are published under the subject , Complete national accounts - Household consumption, total economy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/income-and-consumption-distribution-in-the-household-sector--experimental-statistics-

Documentation of statistics

Documentation of statistics: Productivity

Contact info, National Accounts, Climate and Environment, Economic Statistics , Magnus Børre Eriksen , +45 29 12 27 56 , MBE@dst.dk , Get documentation of statistics as pdf, Productivity 2024 , Previous versions, Productivity 2023, Productivity 2022, Productivity 2021, Productivity 2020, Productivity 2019, Productivity 2018, Productivity 2017, Productivity 2015, Productivity 2014, Productivity 2011, The purpose of the statistics Productivity is to examine the change in production per unit of the resources involved and which contributes to the change. The simplest and most commonly used concept of productivity is labor productivity, which is used here. Labor productivity (LP) and the causes for the change in LP is calculated back to 1966., Statistical presentation, Productivity is basically a measure of how efficiently you use your resources (labor, capital, etc.) when producing goods and services. In this statistic it is also calculated which resources contribute most to the change in productivity. Productivity change is distributed across industries for the various productivity components. The statistics are disseminated in News from Statistics Denmark and the StatBank., Read more about statistical presentation, Statistical processing, Labor productivity is defined as the real value of Gross value added (GVA) per hour worked. The calculations are based on figures from market activity from national accounts, i.e. the total economy excluding the sectors: General government (S.13) and NPISH (S.15). The sources used for calculating the productivity growth is fixed capital, Labor force education statistics and sector account figures for Gross value added and hours worked., Read more about statistical processing, Relevance, The national accounts (including Productivity statistics) constitute core indicators of the analyses of economic growth. Users are primary researchers, economic departments and organizations., The division of national accounts continuously evaluates feedback from our users., Read more about relevance, Accuracy and reliability, The precision of the calculation of productivity growth is closely related to the uncertainty of the variables that are included in the calculation. I.e. how well, the value of an hour's work is reflected in the gross value added in fixed prices for the industry; the quality of the calculated hours and whether there are special conditions in the industry that make labor productivity less relevant, e.g. high capital intensity. For multiple industries, labor productivity growth should not stand alone in productivity analyzes. This applies, for example, to dwellings, public administration, education and health., Read more about accuracy and reliability, Timeliness and punctuality, First preliminary version of Labor productivity (LP) for year t is published end of March in year t+1. The final version of LP for year t is published end of June in year t+3. First preliminary version of Productivity growth (Sources of LP) for year t is published no later than December year t+1. The final version of Productivity growth (Sources of LP) is published no later than December year t+3. The productivity statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, This statistic is based on national accounts. Therefore this statistic is consistent with respect to national accounts and comparable over time. Moreover this statistic is comparable to other countries productivity figures if they are also based on ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Productivity, . See more information , here, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: ICT Use in Enterprises

Contact info, Science, Technology and Culture, Business Statistics , Anton Lyngvold Erenbjerg , +45 20 14 57 90 , AEL@dst.dk , Get documentation of statistics as pdf, ICT Use in Enterprises 2025 , Previous versions, ICT Use in Enterprises 2024, ICT Use in Enterprises 2023, ICT Use in Enterprises 2022, ICT Use in Enterprises 2021, ICT Use in Enterprises 2020, ICT Use in Enterprises 2019, ICT Use in Enterprises 2018, ICT Use in Enterprises 2017, ICT Use in Enterprises 2016, ICT Use in Enterprises 2015, ICT Use in Enterprises 2014, The purpose of the statistics is to shed light on the use of ICT in enterprises, including e-commerce and benefits/barriers to the use of ICT technologies. The survey is harmonized with the EU model questionnaire, which is used in most member states. The statistics form part of Statistics Denmark's focus on the information society. The survey has been carried out annually since 1998. , Statistical presentation, The statistics are published annually and describes the use of ICT in enterprises in Denmark. The following areas are covered: The prevalence and use of ICT, including ICT technologies and e-commerce. A considerable number of variables are replaced each year as a result of the development in user needs and new technology. The survey covers enterprises with more than 10 employees in the private, non-financial urban industries., Read more about statistical presentation, Statistical processing, The statistic is annual and questionnaire-based. Validation includes consistency checks built into the digital form, combined with subsequent checks and possible re-contact to reporting enterprises. The published results are grossed up to population level. Stratification is based on activity and enterprise size class., Read more about statistical processing, Relevance, The results are used by ministries, organizations, researchers and journalists etc., as a basis for political interventions, analyses, articles and research projects etc. A considerable number of variables are replaced each year as a result of the development in user needs and the need to measure new technology. The on-going development of the survey contents takes place in close dialogue with national stakeholders as well as in the European Union fora. The statistics is co-funded by the European Union., Read more about relevance, Accuracy and reliability, The results from the survey for enterprises with at least 10 full-time employees are based on data from 4,071 enterprises from a total population of 18,391 enterprises. The survey is sample based and consequently there is some uncertainty in the results in the form of random variation from the branch and enterprise size. Every year uncertainty calculations are produced, and these show that the sampling uncertainty is limited. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published seven months after the end of the reference period. No preliminary figures are published. Results are published in September, where the reference period is January (and, for some variables, the previous calendar year)., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states. A large number of questions in the survey are replaced annually, so there is not a continuous time series for all the results., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-use-in-enterprises

Documentation of statistics

Documentation of statistics: ICT-Expenditure in Enterprises

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, ICT-Expenditure in Enterprises 2016 , Previous versions, ICT-Expenditure in Enterprises 2015, ICT-Expenditure in Enterprises 2014, ICT-Expenditure in Enterprises 2013, The purpose of the survey 'ICT expenditure' is to examine the extent of ICT expenditures in the private sector. The survey contributes to the description of the information society. The survey was conducted for the first time in autumn 2004., Statistical presentation, Private sector, : The survey examines ICT expenditure in enterprises . Variables include hardware, pre-packaged and customised software, other ICT equipment (telecommunication equipment, audio and video equipment and other ICT equipment) and ICT consultancy. For enterprises in the private sector, the total ICT expenditure is estimated by industry and size groups. Moreover, expenditure in the different sub-groups of expenditure type is estimated, see above., The public sector, (state and municipalities): ICT expenditure is not collected since 2007., Read more about statistical presentation, Statistical processing, Population of enterprises are selected according to ownership, activity (NACE code) and number of employee (more than 10 full time equivalent), The drawing of sample is coordinated with the SBS accounting statistics., Errors in sum are corrected and outliers are identified, contacted and eventually corrected., Weights are estimated for 60 strata and the recordings of each enterprise is multiplied according to the strata., Read more about statistical processing, Relevance, Statistics is used in business organizations, service contracts with ICT enterprises, ministries and the results are included in research projects., Read more about relevance, Accuracy and reliability, Approx 3,200 responses have been used in the grossing up procedure. The results are grossed up so that they correspond to full coverage of the surveyed industries and size groups. Each enterprise in the sample is assigned a weight such that it represents a certain number of enterprises in the population. The grossing up procedure is based on the number of enterprises, and the number of fulltime employees within employment groups. Regarding the enterprises the response rate is 95 per cent for the survey. Loss is due to bankruptcy, take over, etc. The high response rate indicates that results are reliable as the statistical variance indicates. Measures of inaccuracy for selected variables are available., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are published on time one year and 4 month after reference year., Read more about timeliness and punctuality, Comparability, Comparable figures from 2008 and forward. Eurostat have collected data for 2009 and 2012 not yet published by Eurostat., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, Yearbook: Information Society Denmark., Main results are accessible at the website of Statistics Denmark and at Statbank Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-expenditure-in-enterprises

Documentation of statistics

Documentation of statistics: Activities in small enterprises

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Activities in small enterprises 2024 , Previous versions, Activities in micro enterprises 2022, The purpose of the statistics is to shed light on the activities e.g. the use of ICT in microenterprises, with 5-9 employees. The study focuses on topics with high topicality and attention among users, such as security measures and web sales. The content is replaced every year. The survey is developed in collaboration with users and has been carried out for the first time for 2021., Statistical presentation, The statistics are an annual survey of the activities of small businesses. The subjects that are covered are typically some that users are currently asking for more knowledge about. This could be, for example, sustainability, innovation, social responsibility and digitalisation, including the use of digital business solutions, e.g. the spread of remote meetings, robotics and artificial intelligence. It can also be ICT security measures in the company and the use of various e-sales channels., Read more about statistical presentation, Statistical processing, The statistics are a sample-based questionnaire survey. Data is collected via digital reporting. Data validation takes place in the form of consistency checks in the digital form as well as by subsequent troubleshooting and possible re-contact with the reporting parties. The published results are calculated for the population. There is stratification by industry and size., Read more about statistical processing, Relevance, Statistics Denmark is experiencing an ever-increasing demand for more knowledge about small businesses, particularly in areas such as sustainability, innovation activities and digitalisation. A greater number of variables are replaced annually as a result of new technology and the development of user needs. The ongoing development of the content of the statistics takes place in close dialogue with users., Read more about relevance, Accuracy and reliability, The survey is sample-based, and therefore associated with an uncertainty in the form of random variation in relation to industry and company size. The sampling uncertainty is limited. The survey is compulsory to answer and the response rate is therefore above 90. The enumeration of the responses from the sample to the total population partially corrects for missing responses. Some questions are of a technical nature and therefore difficult to understand in companies that do not work with technology., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 8 months after the end of the reference period. It is usually published without delay in relation to the announced time., Read more about timeliness and punctuality, Comparability, Some of the results can be compared with results from the survey 'ICT use in enterprises', which covers companies with at least 10 employees. A large number of questions in the survey are replaced annually, so there is no coherent time series for all subjects., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the main results are available in Danish on Statistics Denmark's homepage at the address , Statistics Denmark's homepage, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/activities-in-small-enterprises

Documentation of statistics

Documentation of statistics: Enterprise Groups in Denmark

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2023 , Previous versions, Enterprise Groups in Denmark 2022, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

Documentation of statistics

Documentation of statistics: Construction Activity

Contact info, Short Term Statistics, Business Statistics , Kasper Emil Dueholm Freiman , +45 23 45 47 32 , KFR@dst.dk , Get documentation of statistics as pdf, Construction Activity 2024 , Previous versions, Construction 2023, Construction 2022, Construction 2021, Construction 2020, Construction 2019, Construction 2018, Construction 2017, Construction 2016, Construction 2015, Construction 2014, The purpose of the Construction Activity statistics is to describe the development of the activity in construction in Denmark. The statistics are among other things used to estimate the business trends in the construction sector. The principal figures, i.e. without geographic distributions, is comparable back to 1998 and onwards, but historical surveys for the construction activity is available back to 1916., Statistical presentation, The quarterly construction statistics is a measurement of all construction activity demanding a building permit, stated in aggregated floor area in square meters and number of dwellings. The statistics are grouped by phase of construction, type of builder, type of building project and geographically, municipalities, regions and province. The statistics are published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in the Statbank., The COVID-19 crisis should not have an impact on this statistic. We haves been in contact with several municipalities and the feedback is that their work registering construction in The Central Register of Buildings and Dwellings on which this statistic is based is not affected and continues as before., Read more about statistical presentation, Statistical processing, The construction activity statistics are compiled on the basis of data extracted from the Central Register of Buildings and Dwellings and is updated quarterly. Data valuations (correct errors) and a number of controls (valuations of quality) are carried out. Furthermore, different diverted variables and delimitations are formed. There are both non-corrected figures ("raw" figures) and corrected figures (because of delayed reporting). The quarterly publications also contain a seasonally adjustment., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, from both the private and the public sector, news media and Eurostat. From the private sector users are mainly large companies and business organizations, while mainly ministries and municipalities represent the public sector. , Furthermore, The statistics are used as input in the national accounts statistics, published quarterly by Statistics Denmark to calculate the gross value added for the construction sector and as input in other parts of Statistics Denmark, e.g. to calculate rent., Read more about relevance, Accuracy and reliability, In general, the latest figures for the construction activity must be regarded with reservations, because the data source is uncertain. The main source of inaccuracy is the delays in the municipality's data registrations in the Central Register of Buildings and Dwellings. The estimates made by Statistics Denmark attempt to address this problem. The model estimate the delays for the latest 18 months and revises the figures in respect hereof. The estimate is encumbered with uncertainty, because there is not a steady pattern in the size and causes of the delays. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics of construction are published quarterly (monthly as well as quarterly statistics). The statistics are published at the beginning of May, August, November and February. The punctuality is high and there are very few delays in relation to the scheduled dates., Read more about timeliness and punctuality, Comparability, The greatest obstacle for the comparability over time is the change in 1981 from the survey-based statistic to the register-based statistic (BBR). It gives both a break in time series and a market extension of the descriptive variables, see the section on comparability over time. , Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release. In the StatBank, these statistics can be found under , Producer and Import Price Index for Commodities, . For more information visit the subject page on , Construction, . It is also possible to purchase customized solutions through , DST Consulting, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/construction-activity

Documentation of statistics

Documentation of statistics: Producer price index for construction of dwellings

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Producer price index for construction of dwellings 2025 , Previous versions, Producer price index for construction of dwellings 2024, Producer price index for construction of dwellings 2023, Producer price index for construction of dwellings 2021, Producer price index for construction of dwellings 2019, Producer price index for construction of dwellings 2018, Producer price index for construction of dwellings demonstrates trends in prices at the first stage of commercial transactions for the construction of free standing one-family houses, i.e. the producer price incl. direct construction costs and profits, but excl. VAT, cost of land and other costs not directly linked to the construction. The statistic is typically used in analyses of price developments in the construction sector. It has been compiled since 2019 with indices dating back to 2015., Statistical presentation, The Producer Price Index for Construction of Dwellings is a quarterly measurement of price developments of commercial transactions related to the construction of new dwellings, i.e. the price a household or a developer pays the construction company for the construction of a dwelling. The statistic only covers construction of free standing one-family houses, and is therefore not representative of e.g. multi-family houses, terraced houses, general housing, vacation homes or commercial/industrial buildings., Read more about statistical presentation, Statistical processing, Every quarter approximately 500-1200 prices are collected from a sample of relevant type house construction companies in Denmark. Prices and addresses are merged with relevant information from the Danish Buildings and Dwellings Register (BBR) on e.g. floor area and various amenities. This information is used to calculate the price development of construction of new dwellings., Read more about statistical processing, Relevance, The Producer Price Index for Construction of Dwellings is a business cycle indicator, which is used in analyses of economic developments in Denmark. It is used in the Danish National Accounts, and is part of the framework of EU short term business statistics. Surveys of user satisfaction are not performed, but the statistics is part of Danish Statistics' expert committee for statistics on housing and civil engineering., Read more about relevance, Accuracy and reliability, The collected price observations are examined for errors both manually and by computer. The extend of different error types is therefore considered to be negligible. As the collected data originates solely from typehouse companies, the statistic is considered to be more accurate for typical housing constructions and less so for unique constructions. Also, the used hedonic statistical model does not consider the quality of applied building materials or the quality of the work carried out., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published quarterly, approx. 3-4 month after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic has a continuous time series from 2015 until present day. The statistic follows international standards and is therefore comparable with similar statistics from other countries., Read more about comparability, Accessibility and clarity, The statistic is published quarterly in the Statbank as , Producer Price Index for Construction of Dwellings (PRIS90), and can be found at the subject page , Indices for the construction sector, . Once a year, in conjunction with the publication of 4th quarter indices (in April), the statistic is published in , News from Statistics Denmark, , which is available only in Danish under the title "Producentprisindeks for byggeri". The statistics is reported to the Danish National Archives on a yearly basis., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-price-index-for-construction-of-dwellings

Documentation of statistics