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Documentation of statistics: Financial assets and liabilities of local government

Contact info, Government Finances , Ralf Frimand , +45 29 39 42 73 , RAF@dst.dk , Get documentation of statistics as pdf, Financial assets and liabilities of local government 2020 , Previous versions, Financial assets and liabilities of local government 2019, Financial assets and liabilities of local government 2018, Financial assets and liabilities of local government 2017, Financial assets and liabilities of local government 2016, Financial assets and liabilities of local government 2015, Financial assets and liabilities of local government 2014, The purpose of the statistics is to analyze the financial assets and liabilities of the municipalities and regions, including especially the liquid assets and long term debt., Statistical presentation, The statistic monitors the financial assets and liabilities of municipalities and regions broken down by functions. A function is the equivalent to an account in the accounting plan for municipalities and regions. Only the financial assets and liabilities are published quarterly. The current expenditure etc. is only published annually. Quarterly data are all preliminary, as the accounts of the municipalities and regions are not completed until the final accounts in May the following year. This means that corrections and account changes in the previous quarters of the year may happen., Read more about statistical presentation, Statistical processing, Data is delivered quarterly from the municipalities and regions' own financial management systems. Error detection is done on a micro level through error detection rules based the official accounting system. The rules are updated annually according to the notices for the municipalities and regions sent out by the Ministry the Interior. The accounts for the individual municipalities and regions are also compared with the accounts of the year before. Both absolute and relative changes are considered and all 98 municipalities and 5 regions are checked., Read more about statistical processing, Relevance, There is a great interest in the published municipal and regional quarterly accounts among users with an interest in the municipalities and regions. The users are among others the municipalities and regions themselves, ministries, organizations, the media, politicians, private businesses, and private people. The accounts are also used in a number of other areas, including calculation of the EMU-debt, the EDP questionnaire for Eurostat, government planning, business cycle monitoring, and the financial accounts in the national accounts for government expenditure and revenue., Read more about relevance, Accuracy and reliability, There is a large variation between the quarterly accounts of the individual municipalities, partially because the placement of the individual account items can be interpreted in different ways. Adding to this is a number of unspecified account items (joint purpose). Some account items are estimated to be more 'safe' than others. This can be due to the fact that they reflect reimbursements from central government and therefore possibly the subject of ministerial interest. Some parts of the accounts are thus more 'safe' on a detailed level than others. Data for the quarterly accounts are preliminary, as the accounts of the municipalities and regions are not final until May the following year., Read more about accuracy and reliability, Timeliness and punctuality, The publication time of the quarterly accounts of the municipalities and regions is approx. 35 days, from the last day of the quarter to the publication around 5 weeks later. The statistic has a high degree of punctuality, as it is usually published without delay in regards to the announced time., Read more about timeliness and punctuality, Comparability, Statistics Denmark has since 1977 electronically received and stored information concerning the financial assets and liabilities of local authorities at the end of the fiscal year. There is a break in data i 2007 due to the municipality reform, which means that the periods 1984-2006 and 2007- are hard to compare. Furthermore the following factors can complicate comparability over time: changes in the budget- and accounting systems, the assignments in the municipalities can changes over time, and the different ways the municipalities interpret the budget- and accounting system., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Municipal accounts, and , Regional accounts, . For more information please see the subject page for , Municipalities and regions, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/financial-assets-and-liabilities-of-local-government1

Documentation of statistics

Documentation of statistics: National Accounts: Input-Output and Supply-Use

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, National Accounts Input-Output and Supply-Use 2022 , Previous versions, Input-Output Tables 2020, Input-Output Tables 2019, Input-Output Tables 2018, Input-Output Tables 2017, Input-Output Tables 2016, Input-Output Tables 2015, Input-Output Tables 2011, The purpose of the input-output table is by means of an organized tabulation of detailed economical-statistics to inform about the interactions between production, imports and uses in the economy for a given period. An input The table facilitates a compilation of an input-output model showing direct and indirect interactions in the economy., Statistical presentation, On the basis of National Accounts product balances tables are compiled which in monetary terms describes how goods and services have been flowing in the economy between suppliers and users. The table contains detailed data for economic structures which enables the compilation of an input-output model that can be used to calculate direct as well as indirect consequences of changes in the level of final demand., Read more about statistical presentation, Statistical processing, The national accounts as well as the input-output tables are compiled according to the definitions in EU's "European System of National and Regional Accounts - ESA2010", which is a European version of the UN's "A System of National Accounts 2008". In terms of data the input-output tables is almost entirely based on supply and use tables., Read more about statistical processing, Relevance, Input-output tables are used by e.g. Central Government Administration, trade associations, consultancy companies and others as an important part of large macroeconomic and general equilibrium models and also as an independent tool for assessment of the consequences for e.g. employment and CO2-emissions of various changes in final demand., Read more about relevance, Accuracy and reliability, The inaccuracy of the national accounts figures relates to the inaccuracy of the various sources, which are used. However, the conceptual consistency and, the uniform adaptation of the sources over time contribute to reducing the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases gives rise to the detection of errors, which therefore are not reflected in the final national accounts or in the input-output tables., The uncertainty in the two most recent years (2023-2024) in the series of input-output tables with 69 industries is greater than in tables at the full 117 industry level. This is primarily due to the fact that the data base in the preliminary years is not as complete and comprehensive as in the final years. The two preliminary tables are compiled using a mathematical updating procedure on the latest final version together with new up-to-date information about the row and column totals. , Read more about accuracy and reliability, Timeliness and punctuality, The input-output tables are released once every year at the same time as the final national accounts. The time of release is approximately (almost) 3 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, With a few exceptions the input-output tables can be aggregated into the Danish Industry Classification (DB07) and, thus, input-output tables can therefore easily be combined with other statistics applying the DB07 classification. There is a high degree of international comparability of input-output tables. A lot of effort has been put into keeping the entire time series of input-output tables intact from 1966 through 2011 with no breaks., Read more about comparability, Accessibility and clarity, Input-output data is disseminated mostly on the internet through the http://www.Statbank.dk and the input-output subject page https://www.dst.dk/inputoutput in various file formats. The latter is easier to use because extraction of input-output data from the statbank requires some knowledge of what you are looking for., The strongly aggregated input-output tables published in Statistical Yearbook and Statistical 10-year review are great for a quick overview of the material., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--input-output-and-supply-use

Documentation of statistics

Documentation of statistics: Nights spent on camp sites

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Nights spent on camp sites 2025 , Previous versions, Nights spent on camp sites 2024, Nights spent on camp sites 2023, Nights spent on camp sites 2022, Nights spent on camp sites 2021, Nights spent on camp sites 2020, Nights spent on camp sites 2019, Nights spent on camp sites 2018, Nights spent on camp sites 2017, These statistics describe the capacity and occupancy at Danish campsites. The statistics are used by i.e. EU, tourism organizations and municipalities in order to analyze the development in camping tourism. The survey has been compiled since 1971, but in its current form comparable from 1992 and onwards. , Statistical presentation, These statistics are a monthly summary of occupancy and capacity in Danish campsites with a minimum of 75 camping units. The statistics are broken down by nationality of the guests, permanent leased pitches and geography by NUTS 2 level. Furthermore there is a annual summary of occupancy and capacity in Danish campsites with 10-74 camping units. , Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish campsites with a minimum of 75 camping units and yearly from Danish campsites with 10-74 camping units using an online questionnaire on Virk.dk, or by using a system-to-system solution where the campsites booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The statistics are for example relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. , Read more about relevance, Accuracy and reliability, The monthly statistic only covers campsites with at least 75 camping units. The annual statistics also cover campsites with 10-74 camping units. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Another possible source of error may be the fact that the reported data is in many cases based on estimations by the respondents. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for campsites with a minimum of 75 camping units are published approx. 40 days after the end of the reference period. Publications are released on time, as stated in the release calendar. The annual statistics for the final data and for campsites with 10-74 camping units are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, Statistics Denmark includes nights from permanent leased pitches, which can cause an overestimation compared to other European camping statistics which do not include data from nights spent on permanent leased pitches. The statistical organisation of EU "Eurostat" does not include nights spent on permanent leased pitches when they publish data from countries in EU. From 2013, the number of nights on permanent leased pitches is based on factors of average lead times on camp sites. This change may result in a lack of comparability, but it is not expected to be significant. The number of nationalities has expanded from 13 to 51 nationality groups. This can lead to a lack of consistency when comparing data over time. , Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . Data are published in statbank at , Camping sites, and , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at subject page. (https://www.dst.dk/da/Statistik/emner/erhvervslivets-sektorer/turisme/campingpladser)., Statistics on a municipality level or for a province can be found at , VisitDenmark, . If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact , DST Consulting, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-on-camp-sites

Documentation of statistics

Documentation of statistics: Purchases and sales by enterprises

Contact info, Short Term Statistics , Lina Pedersen , +45 51 68 72 80 , LIP@dst.dk , Get documentation of statistics as pdf, Purchases and sales by enterprises 2024 , Previous versions, Purchases and sales by enterprises 2020, Purchases and sales by enterprises 2019, The purpose of the statistics Purchases and sales by enterprises is to monitor business cycles in Denmark, based on sales of enterprises. The statistics is based on information on value added tax (VAT) reported by the enterprises to the Danish Tax Authorities. , The statistics is compiled and disseminated monthly and provides a short-term status of Danish business economy. The statistics have been published with variation in calculation methods and frequencies, since value added tax (VAT) was introduces in Denmark in 1967. In its current form, the statistics is comparable from 2011 onwards., Statistical presentation, Purchases and sales by enterprises is a monthly statement of purchases and sales of goods and services. The Statement is calculated in millions (Danish kroner). The statement is calculated at industry level defined in the Danish Industrial Classification of All Economic Activities 2007 (DB07). In addition, the statistics are divided into domestic purchases and sales. , Read more about statistical presentation, Statistical processing, Data originates from the Danish Tax Agency’s VAT registers plus information from the Central Business Register (CVR). Missing reports are replaced with imputed values, which are values estimated for each missing report. Imputed values are provisional and removed when the enterprise has reported VAT to the Tax Agency or the enterprise's business status in the CVR register is updated as inactive. The report follows the enterprise's main industry. , Read more about statistical processing, Relevance, Users of the statistics are ministries, researchers, students and organizations. Used for e.g. analysis of business trends and market research. In Statistics Denmark, the statistic provides supporting information to e.g. the National Accounts and statistics on foreign trade. Data contribute to the Danish compliance with requirements in the European business statistics regulation regarding turnover on industries on service and trade. In order to comply with requirements, monthly turnover must be distributed to Kind of Activity Units (KAU). A model is used to split legal units into KAU. , Read more about relevance, Accuracy and reliability, The statistics is based on VAT, reported by enterprises to the Tax Agency. The precision is strengthened by the fact that all companies subject to VAT are included. It is weakened by too little information sales not subject to VAT, e.g. train tickets and recycled clothes. The reliability increases as the enterprises report and revise values. It's possible to revise up to three years after submission. Values are considered final after three years. The sales are used as an estimate for turnover. Please notes that turnover includes more than sales, e.g. revenue from investments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximate 40 days after the end of the reference period. The statistics contain a statement of sales that are subject to VAT. A statement of an enterprise's sales subject to VAT can be used as an estimate of the enterprise's turnover, which is why the statistics are used for short-term statistics on turnover. The publication date is announced at least 6 months in advance, and it is rare that a publication of the statistics is delayed. , Read more about timeliness and punctuality, Comparability, From 2010, the statistics are based on register data, the information on VAT that enterprise report to the Tax Agency. From the year 2010, data is comparable year to year, as it includes all enterprises that report VAT. The variable "salg i alt" can be used as estimate for the enterprises' net turnover and can be compared with the net turnover in other statistics, e.g. General Enterprise Statistics. When comparing, take into account the differences, for example which types of sales or revenue are included, whether excise duties are included, and whether smaller companies are included. , Read more about comparability, Accessibility and clarity, The statistics are published on the webpage , StatBank Denmark, under the topic Purchases and sales by Enterprises. Until December 2023, the statistics was published monthly in a Danish newsletter called NYT. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchases-and-sales-by-enterprises

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Market Research and Public Opinion Polling

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Market Research and Public Opinion Polling 2023 , Previous versions, Business Services in the Sector for Market Research and Public Opinion Polling 2019, Business Services in the Sector for Market Research and Public Opinion Polling 2017, Business Services in the Sector for Market Research and Public Opinion Polling 2015, Business Services in the Sector for Market Research and Public Opinion Polling 2013, The purpose of the statistics Market research and public opinion polling is to provide information on turnover and types of services in enterprises with market research and public opinion polling as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 2001. Prior to 2012 it was called Product Statistics for Market research and public opinion polling. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU). , Read more about statistical presentation, Statistical processing, Data is collected by online questionnaire from a total count of enterprises in the sector Market Research and public opinion polling. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. 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 turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 11 months after the end of the reference year. The statistics is published usually without delay regarding to the announced date. To the EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-market-research-and-public-opinion-polling

Documentation of statistics

Documentation of statistics: Computer Services

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Computer Services 2023 , Previous versions, Computer Services 2021, Computer Services 2020, Computer Services 2019, Computer Services 2018, Computer Services 2017, Computer Services 2016, Computer Services 2015, Computer Services 2014, Computer Services 2013, The purpose of the statistics Computer Services is to provide information on turnover and types of services in enterprises with Computer services and main activity. The statistics is also used in the compilation of the national accounts and for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 1995. Prior to 2012 it was called Product Statistics for Computer Services. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Computer services. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. 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 turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population., Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, The statistics provides a reliable estimate of the turnover and its distributions on the the different services provided within the covered industry. This is due to the fact submission is mandatory for all enterprises within the population, and because the submitted turnover is adjusted with the turnover from the Accounts Statistics for Non-Agricultural Private Sector, which is based on a large sample, administrative sourced and digital annual reports (XBRL) from the Danish Business Authority. It is assumed that the distribution of the respective services in the enterprises that did not submit, ceased to exist or by fault was not included in the initial sample compilation, are equal to the average distribution within the industry. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 10 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, The statistics has been compiled since 1995. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published in a collective Danish press release for services. The figures can be found in the StatBank under , Computer services, . For more information go to the subject page for the , Service sector, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/computer-services

Documentation of statistics

Documentation of statistics: Services of service industries

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Services of service industries 2024 , Previous versions, Services of service industries 2023, Documents associated with the documentation, Anden virksomhedsrådgivning (Spørgeskema 2023) (pdf) (in Danish only), Arkitektvirksomhed (Spørgeskema 2023) (pdf) (in Danish only), Bogføring, revision og skatterådgivning (Spørgeskema 2023) (pdf) (in Danish only), It-servicevirksomhed (Spørgeskema 2023) (pdf) (in Danish only), Juridisk bistand (Spørgeskema 2023) (pdf) (in Danish only), Markedsanalyse og offentlig meningsmåling (Spørgeskema 2023) (pdf) (in Danish only), Reklamevirksomhed (Spørgeskema 2023) (pdf) (in Danish only), Rådgivende ingeniørvirksomhed og anden teknisk rådgivning (Spørgeskema 2023) (pdf) (in Danish only), Teknisk afprøvning og analyse (Spørgeskema 2023) (pdf) (in Danish only), Vikarbureauer (Spørgeskema 2023) (pdf) (in Danish only), The purpose of the statistics Services of Service Industries is to provide information about turnover and types of services provided by enterprises within a number of service industries. The statistics is also used for revision of activity classifications in the Business Statistical Register., The statistics is a part of EU Structural Business Statistics (SBS). Some industries have been covered since 1995, whilst others have been covered since 2007. , In its current form the statistics is comparable from the reference year 2023 where the statistics was changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics encompasses 10 sub-statistics where each one provides information on the distribution of total turnover on products and services provide by enterprises in a specific industry according to the classification of products by activity (CPA). , Read more about statistical presentation, Statistical processing, Data is collected by online questionnaire from all enterprises within the population. In the questionnaire the enterprises have to break down their turnover by products and their total exports broken down by residence of client within and outside of the EU. The reported data is checked for errors, for instance by comparing the turnover distribution with previous submissions. The collected data is grossed up to the population level by including turnover from the Accounts Statistics for Non-Agricultural Private Sector. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, This statistics turnover breakdowns by product is sourced from submission from enterprises that that make up between 96 and 100 pct. of the total turnover within each of the activities. This precision is achieved by having only a few missing enterprises within each activity. Additionally the turnover is aligned with information from the Accounts Statistics for Non-Agricultural Private Sector, which in turn is complied from a large sample, administrative sources and XBRL-accounts from the Danish Business Authority. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published ca. 11 months after the end of the reference year. Usually the statistics is published without delays in regards to the announced publication date. , Read more about timeliness and punctuality, Comparability, For some industries the statistics was first compiled in 1995 and 1996, whilst others were first compiled in 2001, 2003 and 2007. Since then there have been various adjustments and changes to the calculation method, activity codes, sampling method and questionnaire. There is consistent a consistent timeseries for the reference years 2012/2013 to 2021/2022. In its current form the statistics is comparable from 2023 and onwards, covering only enterprises with at least 20 employees. These statistics are produced according to the guidelines in the European Business Statistics Manual, and is thus comparable to similar statistics from other EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published in a danish press release about Services of Service Industries. In the StatBank, these statistics can be found under the subject , Services of service industries, . For more information go to the , subject page, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/services-of-service-industries

Documentation of statistics

Documentation of statistics: Temporary Employment Agencies and Other Human Provision Services

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Temporary Employment Agencies and Other Human Provision Services 2023 , Previous versions, Temporary Employment Agencies and Other Human Provision Services 2021, Temporary Employment Agencies and Other Human Provision Services 2020, Temporary Employment Agencies and Other Human Provision Services 2019, Temporary Employment Agencies and Other Human Provision Services 2018, Temporary Employment Agencies and Other Human Provision Services 2017, Temporary Employment Agencies and Other Human Provision Services 2016, Temporary Employment Agencies and Other Human Provision Services 2015, Temporary Employment Agencies and Other Human Provision Services 2014, Temporary Employment Agencies and Other Human Provision Services 2013, The purpose of the statistics Temporary employment agencies and other human provision services is to provide information on turnover and types of services in enterprises with Human provision services as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). , The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 1996. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by online questionnaire from a total count of enterprises in the sector Temporary Employment Agencies and Other Human Provision Services. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. 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 turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services. , Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 11 months after the end of the reference year. The statistics is published usually without delay regarding to the announced date. To the EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 1996. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/temporary-employment-agencies-and-other-human-provision-services

Documentation of statistics

Documentation of statistics: Nights spent at hotels, holiday resorts and youth hostels

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Nights spent at hotels, holiday resorts and youth hostels 2025 , Previous versions, Nights spent at hotels, holiday resorts and youth hostels 2024, Nights spent at hotels, holiday resorts and youth hostels 2023, Nights spent at hotels, holiday resorts and youth hostels 2022, Nights spent at hotels, holiday resorts and youth hostels 2021, Nights spent at hotels, holiday resorts and youth hostels 2020, Nights spent at hotels, holiday resorts and youth hostels 2019, Nights spent at hotels, holiday resorts and youth hostels 2018, Nights spent at hotels, holiday resorts and youth hostels 2017, The purpose of the statistics "Nights spent at hotels, holiday centers and hostels" is to describe the occupancy and capacity of Danish hotels, holiday centers and hostels. The survey is used by i.e. EU, business and tourism organizations and municipalities in order to analyze the development in tourism. The survey has been compiled since 1969, but is only comparable from 1992 and onwards. , Statistical presentation, The accommodation survey "Nights spent at hotels, holiday centers and hostels" is a monthly summary on occupancy and capacity in Danish hotels, holiday centers and hostels with a minimum capacity of 40 bed places. The accommodation survey is broken down by capacity and geography of the establishment as well as the purpose and country of residence of the guest. Furthermore there is an annual census on occupancy and capacity for hotels, holiday centers and hostels with 10-39 bed places., Read more about statistical presentation, Statistical processing, Data for the statistics are collected monthly from Danish hotels, holiday resorts, hostels etc. with a minimum of 40 bed places and yearly from Danish hotels, holiday resorts, hostels etc. with 10-39 bed places using an online questionnaire or by using a system-to-system solution where the accommodations booking system automatically sends data to Statistics Denmark. Collected data are validated on micro-level during the data collection and again on macro-level when aggregated. The validated data are then imputed with missing values and afterwards aggregated into geographical and nationality totals. , Read more about statistical processing, Relevance, The accommodation statistics are relevant for accommodation businesses, Eurostat, ministries and business and tourism organizations for forecasts, analysis and planning. The accommodation statistics are under constant review and the user needs are rapidly changing with the emergence of peer-to-peer platforms such as AirBnB. , Read more about relevance, Accuracy and reliability, The monthly statistic only cover hotels, holiday resorts and hostels etc. with at least 40 bed places. The annual statistics also cover hotels, holiday resorts and hostels etc. with 10-39 bed places. A possible source of error can be that the respondents have difficulties distinguishing between the concepts of nights spent and arrivals. Missing answers are imputed which may lead to revisions of published data. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for hotels, holiday centers and hostels etc. with a minimum of 40 bed places are published monthly approx. 40 days after the end of the reference month. The statistics is published without delay according to the planned publication tables. The final statistics are published annually together with the statistics for Hotels, holiday centers and hostels etc. with 10-39 bed places. The Annual statistics are published approx. 100 days after the end of the reference year., Read more about timeliness and punctuality, Comparability, The accommodation statistics is comparable with the other EU-statistics on tourism. The breakdown into nationalities has expanded from 13 to 51 since 1996 and this can weaken the comparability when using time series. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt fra Danmarks Statistik, . Data are published in statbank at , Hotels, holiday centres and hostels, og , All types of overnight accommodation, and in an annual publication with all types of overnight accommodation. For more information about the statistics look at the , subject page, ., Statistics on a municipality level or for a province can be found at VisitDenmark. If you wish to combine statistics of tourism with other types of variables or combine variables in a different way please contact DST Consulting., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-hotels--holiday-resorts-and-youth-hostels

Documentation of statistics

Documentation of statistics: Holiday houses

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Holiday houses 2025 , Previous versions, Holiday dwellings 2024, Holiday houses 2022, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

Documentation of statistics