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      Documentation of statistics: Production and Turnover in Service Industries

      Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , lip@dst.dk , Get documentation of statistics as pdf, Production and Turnover in Service Industries 2025 , Previous versions, Production and Turnover in Service Industries 2021, These statistics shows the cyclical development both in the volume output for service industries and turnover. The statistics are compiled based on turnover indices from the statistic Purchases and Sales by Enterprises and on price indices from Producer Price Index for Services (SPPI). For the split into the counting unit KAU we use the statistic Workplaces, job, full-time employment, wage and salary cost by industry (DB07). The statistics is from 2021, with base year 2021. , Statistical presentation, These statistics consist of a number of monthly turnover and volume indices, where indices on turnover are divided by indices on prices. The indices are divided by service industries that follows the definitions in NACE rev. 2. The indices are disseminated both with and without seasonal adjustment., Read more about statistical presentation, Statistical processing, The two data series containing indices of Production and Turnover in Service are division based on Purchases and Sales by Enterprises, on price indices from Producer Price Index for Services (SPPI) and Workplaces, job, full-time employment, wage and salary., Read more about statistical processing, Relevance, The statistics are ordered by Eurostat., Read more about relevance, Accuracy and reliability, Revisions on the indices can occur three and a half years back in time, but usually major revisions occur in later periods. The reliability of the statistics increases updates on indices from Purchases and Sales by Firms, Producer Price Index for Services. There are no calculations on uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The indices are published t + 3M, where t is the reference period., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2024 with comparable figures from 2021 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 , Production and turnover in the service sector, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-and-turnover-in-service-industries

      Documentation of statistics

      Documentation of statistics: International Trade in Services by Enterprise Characteristics

      Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Services by Enterprise Characteristics 2022 , Previous versions, International Trade in Services by Enterprise Characteristics 2021, International Trade in Services by Enterprise Characteristics 2020, International Trade in Services by Enterprise Characteristics 2019, International Trade in Services by Enterprise Characteristics 2018, International Trade in Services by Enterprise Characteristics 2017, The purpose of Trade in Services by Enterprise Characteristics (STEC) is to describe enterprises engaging in international trade in services, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2014 and are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Services by Enterprise Characteristics is an annual measurement of enterprises involved in international trade in services and their characteristics, stated in value. The statistics are grouped by economic activity, enterprise size, ownership and type of services., Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in services (ITSS) with Business statistics. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, STEC is relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to the international trade in services in Denmark. , Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Service by Enterprise Characteristics is closely related to the accuracy of International Trade in Service Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Service Statistics., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, STEC have been compiled since 2017 but is comparable from 2014 to 2018 for legal units. From 2019 the statistics have been compiled using the enterprise unit. The data is fully comparable with compiled services in the ITSS and Balance of payments statistics. Comparability with other statistics, such as the business statistics can be limited due to different coverages., Read more about comparability, Accessibility and clarity, These statistics are published annually 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 , International Trade in Services, .The statistics can also be found in various publications and analysis., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-services-by-enterprise-characteristics

      Documentation of statistics

      Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

      Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

      Documentation of statistics

      Documentation of statistics: Rent indices for housing

      Contact info, Prices and Consumption, Economic Statistics. , Martin Sædholm Nielsen , +45 24 49 72 81 , mne@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

      Documentation of statistics

      Documentation of statistics: Interest and Share Price Indices

      Contact info, Government Finances , Jesper Søgaard Dreesen , +45 51 64 92 61 , JSD@dst.dk , Get documentation of statistics as pdf, Interest and Share Price Indices 2024 , Previous versions, Interest and Share Price Indices 2023, Interest and Share Price Indices 2022, Interest and Share Price Indices 2021, Interest and Share Price Indices 2020, Interest and Share Price Indices 2019, Interest and Share Price Indices 2018, Interest and Share Price Indices 2017, The purpose of these statistics is to illustrate developments in interest rates and share indices in the financial markets. These statistics are intended for analysis purposes. The daily updates can be found at Nasdaq OMX Nordic or other media covering this financial area., Statistical presentation, The selected information includes for example a selection of money market interest rates, effective rate on leading bonds and share price indices., Read more about statistical presentation, Statistical processing, The primary statistical data are not stored by Statistics Denmark but by the individual producers of the statistics., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The figures originate directly from observations in the financial markets. The published figures are therefore not based on calculations and no estimations are made. The statistics show the actual historical values in the markets and are not revised later. For further information please refer to the authorities that collect the basic information., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of these statistics is 20 to 45 days after the reference period expires depending on the time series. These statistics is usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are generally high comparability over time, there may be some problems of comparability for some time series statistics. For comparisons across countries should be obtained from the concerned authority collecting basic information., Read more about comparability, Accessibility and clarity, Data can be found in the following tables in the StatBank: , Danmarks Nationalbanks official interest rates, inter-bank interest rate and average bond, , , Share index, , , The bank's average deposit and lending interest rates, , , Effective rate on bonds, and , Government bond yields by country, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/interest-and-share-price-indices

      Documentation of statistics

      Documentation of statistics: Port calls in Danish sea ports (experimental statistics)

      Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Port calls in Danish sea ports 2020 (experimental statistics) , Previous versions, This experimental statistics shows the activity in Danish ports measured by port calls. The statistics as an experimental statistics is not part of the official statistics program of Statistics Denmark. The statistics is experimental because it is the first time Statistics Denmark uses the large amounts of data in the AIS system (Automated Information System) and the methods for data treatment are still under development. The details in the presentation and the form of dissemination can change as Statistics Denmark receives feedback from users or during the continued development., Statistical presentation, The statistics is an index of the number of port calls to Danish ports and covers freight and container vessels. The statistics is made based on ship position data (AIS data) made available by the Danish Maritime Authority. The statistics is only published in the Statbank., Read more about statistical presentation, Statistical processing, AIS data is received in a continuous stream and registered daily. The process starts with a data reduction after which a representative arrival and departure observation is selected. Afterwards the ports are defined from the AIS-data after which ports and arrival/departure pairs representing a port call is matched., Finally tables, indices and seasonally adjustments are produces., Read more about statistical processing, Relevance, The statistics provides faster data on the activity in Danish ports and the possibility to cover more types of vessels compared to existing maritime statistics. The statistics is experimental and a part of this concept is to reveal relevance and user needs. Industry organisations have however expressed interest in the statistics., Read more about relevance, Accuracy and reliability, The precision of the statistics in terms of the development of the actual port calls in Danish ports and for freight and container vessels is relative high based on a comparison between the quarterly maritime statistics., The statistics is at the moment assessed to have a medium reliability since no revision analysis has been performed yet., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is planned for publication approximately 10 days after the reference period., Read more about timeliness and punctuality, Comparability, Only few other countries uses AIS data to make maritime statistics since the statistics still is an experimental statistics without a fixed international methodology. A comparison with similar data from the maritime statistics is possible despite a number of differences., Read more about comparability, Accessibility and clarity, The statistics is published in , Statbank, and on the subject page for , Harbours, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/port-calls-in-danish-sea-ports--experimental-statistics-

      Documentation of statistics

      Documentation of statistics: Public libraries (Discontinued)

      Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Public Libraries 2018 , Previous versions, Public Libraries 2016, Public Libraries 2015, Public Libraries 2014, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. From 2000 and up to and including 2009 the statistics was produced by the Ministry of Culture. . The main information is stock, growth, lending, renewal of loans and interlibrary loans., Statistical presentation, The purpose of the statistics is to disseminate the activity in the area of public libraries in Denmark. The statistics are produced by Statistics Denmark on behalf of the Ministry of Culture. Up to and including 2009 the statistics was produced by the Ministry of Culture., Read more about statistical presentation, Statistical processing, Statistics Denmark process the collected data, them validate and publish them in Statbank a half years after the reference year., Read more about statistical processing, Relevance, The statistics are available for all who are interested in the library business such as politicians, media, students and NGOs. There has been no study of user satisfaction in this statistic. There is regular contact with the Danish Culture authority on the quality and relevance of the statistics. , Read more about relevance, Accuracy and reliability, The statistic includes all public libraries in Denmark. Uncertainty caused by incorrectly reported figures are sought minimized thorough massive inspection of the reported figures., For the reference years 2016 and 2017 will numbers of loans, stock, growth, interlibrary loans and active loaners not be published. This is due to problems caused by the change in administrative IT-systems for the libraries in these years. , Read more about accuracy and reliability, Timeliness and punctuality, Data is collected by Statistics Denmark in the first half of the year immediately following the survey year. Publishing occurs in early July. The total production time is six months. The statistics are published according to the schedule without delay. Due to problems with datacollection is the statistic for reference years 2016 and 2017 delayed. , Read more about timeliness and punctuality, Comparability, Use of standards within the library in Denmark reflects both concrete Danish needs but also the organization of the international standard work. Statistics on public libraries are thus comparable with international statistics to the extent they are based on the same international standards., Read more about comparability, Accessibility and clarity, Publishing is in the following channels:, News from Statistics Denmark http://www.Statbank.dk, Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Environmental accounts for Denmark (Discontinued)

      Contact info, National Accounts, Climate and Environment , Ingeborg Vind , +45 24 83 51 49 , INV@dst.dk , Get documentation of statistics as pdf, Environmental accounts for Denmark (discontinued) 2013 , Previous versions, Environmental accounts for Denmark (discontinued) 2012, These statistics are no longer compiled under the name Environmental Accounts for Denmark. Now specific documentations of statistics can be found under the subject page Environmental-Economic Accounts., Statistical presentation, The environmental accounts contain information on a) Material flows in the form of the the weight of Danish resource extraction, import and exports, b) Air emissions of different substances (CO2, N2O, CH4, PFC, HFC, SF6, NOx, NMVOC, CO, PM10, PM2.5, SO2, NH3), c) Public expenditure and revenue on the environment as well as d) Environmental related taxes etc., The definitions used in the environmental accounts ensures that the information immediately can be used for analyses of the interaction between the economic activities and e.g. air emissions of some of the above-mentioned substances., Read more about statistical presentation, Statistical processing, Emission accounts are compiled taking energy accounts as a starting point for the emissions caused by the use of energy. Emissions caused by other factors than energy use are added subsequently and distributed among the relevant industries. , Tax revenues are broken down by industries on the basis of detailed information from National Accounts., Material Flow Accounts are compiled on the basis of internal and external sources on resource extraction., Read more about statistical processing, Relevance, Environmental Accounts are relevant for those interested in the correlation between the economy on the one side and environment and natural resources on the other side. Ministries and consultant firms are among the main users of environmental accounts. Accounts are included in the overall European environmental accounts, collected and compiled by Eurostat., Read more about relevance, Accuracy and reliability, Figures on statistical uncertainty have not been estimated., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published without delays., Read more about timeliness and punctuality, Comparability, The industry classification in the tables is the same as the one used in the national accounts. The tables can therefore be compared to other statistics based on the industry classification. Accounts are compiled in form of time series. For example accounts for air emissions are available for each year from 1990 until the last year that is published. Accounts are consistent and fully comparable within these years. On the more aggregated level (NACE 64), the Danish accounts are comparable with accounts of other EU countries compiled according to the Regulation no. 691/2011 on European environmental economic accounts., Read more about comparability, Accessibility and clarity, Environmental-economic accounts, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-accounts-for-denmark--discontinued-

      Documentation of statistics

      Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

      Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

      Documentation of statistics

      Documentation of statistics: Census of Housing

      Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Census of Housing 2025 , Previous versions, Census of Housing 2024, Census of Housing 2023, Census of Housing 2022, Census of Housing 2021, Census of Housing 2020, Census of Housing 2019, Census of Housing 2018, Census of Housing 2017, Census of Housing 2016, Census of Housing 2016, Census of Housing 2014, The purpose of the housing statistics is to analyze the total housing stock and population housing. The statistics is used in the municipal equalization system. The housing statistics has been conducted annually since 1981. The statistics is comparable from 2010 onwards., Statistical presentation, The statistics are produced on a yearly basis and comprises all homes in Denmark. The statistics and is described through a number of variables; type of dwelling, type of ownership, type of heating installation, toilet, bathing, and kitchen facilities plus the year of construction and also the stock of occupied dwellings by tenure (rented or owner-occupied dwellings) type of household etc. In addition, the number of persons in dwellings by age and gender and number of children. The statistics are also geographically distributed by municipalities, regions and provinces., Read more about statistical presentation, Statistical processing, BBR- and CPR-data are matched via addresses and dwellings are split into dwellings with and without registered population. Inconsistencies are corrected and data summed., Read more about statistical processing, Relevance, Census of Housing is used by ministries, municipalities, companies and private persons., Read more about relevance, Accuracy and reliability, The degree of uninformed information for each variable is very little. Close cooperation between the BBR-authority and the Population Register in each municipality ensures a good match between the addresses in the two registers., All property owners are obliged by law to notify changes such as extensions, demolitions or a new roof to the municipal BBR-authority. It is up to the homeowners to update information in BBR themselves, so it is doubtful that changes, for example in the number of rooms, toilet / bathroom conditions or change of heating are always notified BBR., Read more about accuracy and reliability, Timeliness and punctuality, Data is released timely around 3-5 months after the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, Then Census of Housing has been based on the BBR and CPR-registers since 1. January 1981. With the exceptions of a few variables the data are consistent from 1981. There are though certain reservations for comparison during this time period. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Housing, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/census-of-housing

      Documentation of statistics
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