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      Documentation of statistics: Long Term Unemployed Persons

      Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Long Term Unemployed Persons 2024 , Previous versions, Long Term Unemployed Persons 2020, Long Term Unemployed Persons 2019, Long Term Unemployed Persons 2018, Long Term Unemployed Persons 2017, Long Term Unemployed Persons 2016, Long Term Unemployed Persons 2015, Long Term Unemployed Persons 2014, This statistics show the structure and development of long-term unemployment, defined as gross unemployment spells of minimum 52 weeks. The statistics cover all months in the period from January 2009 onwards. The statistics also covers shorter and longer unemployment spells, these different spells was published for the first time in October 2018., Statistical presentation, The statistics cover the persons who are long-term unemployed due to administrative data. A long-term unemployed person has been gross unemployed for at least 52 consecutive weeks (1 year). Persons who leave the gross unemployment for a period of 4 weeks, within the 12 months, and who is not in ordinary employment during the period of 4 weeks are also included in the statistics. The statistics also covers unemployment spells by duration from 26 weeks (0,5 year) up to 156 weeks (3 years)., Read more about statistical presentation, Statistical processing, The statistics of long-term unemployment is made out of the register of public benefits that covers all persons receiving public benefits in the age below their official pension age. The Register of Employees is also used in the statistics. The employment records cover employed persons in firms registered in Denmark from January 2008 onwards., Both data regarding public benefits and employment is collected quarterly. , Read more about statistical processing, Relevance, Users: Ministries (primary the Ministry of Employment), municipalities, organizations, educational institutions, research institutions, the news media and private persons., The statistics is quite new and there has not been collected any knowledge about the user experience., Read more about relevance, Accuracy and reliability, The statistics measure the number of long-term unemployed persons according to administrative registers and is based on a full sample. The statistics is precise according to the written description of long-term unemployment., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and is published 4 months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic is comparable from one month to another from January 2009 onwards. For international comparison the long unemployment term/figures from the Labour Force Survey is recommended., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under the subject , Unemployed persons, . For further information, go to the subject page](https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/beskaeftigelse-og-arbejdsloeshed/arbejdsloese). , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/long-term-unemployed-persons

      Documentation of statistics

      Documentation of statistics: Medium-Cycle Higher Education

      Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Medium-Cycle Higher Education 2025 , Previous versions, Medium-Cycle Higher Education 2024, Medium-Cycle Higher Education 2023, Medium-Cycle Higher Education 2022, Medium-Cycle Higher Education 2021, Medium-Cycle Higher Education 2020, Medium-Cycle Higher Education 2019, Medium-Cycle Higher Education 2018, The statistics about medium-cycle higher education describe activity on medium-cycle higher education in Denmark. Medium-cycle higher educations are typically 1-2 years in duration. The statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on medium-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. Short-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 50. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer medium-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time, which is 1 October. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on medium-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as medium-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/medium-cycle-higher-education

      Documentation of statistics

      Documentation of statistics: Continuing Vocational Training Survey (CVTS)

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

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

      Documentation of statistics

      Documentation of statistics: Short-Cycle Higher Education

      Contact info, Population and Education, Social Statistics , Mikkel Jonasson Pedersen , +45 23 60 42 07 , mps@dst.dk , Get documentation of statistics as pdf, Short-Cycle Higher Education 2025 , Previous versions, Short-Cycle Higher Education 2024, Short-Cycle Higher Education 2023, Short-Cycle Higher Education 2022, Short-Cycle Higher Education 2021, Short-Cycle Higher Education 2020, Short-Cycle Higher Education 2019, Short-Cycle Higher Education 2018, The statistics about short-cycle higher education describe activity on short-cycle higher education in Denmark. Short-cycle higher educations are typically 1-2 years in duration. The statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all pupils and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly data about the activity on short-cycle higher education in Denmark. This includes the number of entrants, the number of completed and the number of active students. Short-cycle higher education is defined from Statistics Denmark's education classification DISCED-15 as all education classified on level 40. The statistics are divided by education and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for these statistics are collected yearly in October from the administrative systems of the educational institutions. Statistics Denmark have drawn up standards for reporting formats, validation and error searching in cooperation with the system provider ESAS, who is in charge of the administrative systems at most institutions who offer short-cycle higher education. This means that the data received by Statistics Denmark have already been controlled. In addition, a thorough error search and validation of data are done by Statistics Denmark, where data is controlled for fluctuations across time and irregularities at the individual level., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the students and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. However, occasional errors will almost always occur. These are almost always fixed before next year's publication of data., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time, which is 1 October. Publications are released on time, as stated in the release calendar., Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on short-cycle higher education have been made further back than this. It may be difficult to compare the figures internationally, as short-cycle higher education is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Higher education, . For further information, see the , homepage of education statistics, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/short-cycle-higher-education

      Documentation of statistics

      Documentation of statistics: International Trade in Services

      Contact info, External Economy, Economic Statistics , Selma Mustafic Mulalic , +45 23 69 46 64 , smu@dst.dk , Get documentation of statistics as pdf, International Trade in Services 2024 , Previous versions, International Trade in Services 2023, International Trade in Services 2022, International Trade in Services 2021, International Trade in Services 2020, International Trade in Services 2018, International Trade in Services 2017, International Trade in Services 2016, International Trade in Services 2015, International Trade in Services 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i statistikbanken den 10. juni 2024 (pdf) (in Danish only), Foreign trade in services describes the trade in services (imports and exports) with other countries. The trade is described both in terms of type of services and in terms of partner country/area. The statistics were introduced in connection with the termination of the settlement statistics in Danmarks Nationalbank by new-year 2004/05, cf. Balance of payments. , Statistical presentation, The statistics show Denmark's imports and exports of services from/to other countries distributed on partner countries and approx. 70 service categories. , Read more about statistical presentation, Statistical processing, Data is collected every month. The data is screened for obvious and likely errors. The completeness of the reports is checked. The data is used for compiling the statistics through a process of grossing up for the trade not covered. The statistics is accordingly to be considered to completely cover the Danish foreign trade in services., Read more about statistical processing, Relevance, The International trade in services statistics constitute an essential part of the balance of payments statistics and of the rest-of-the-world account of national accounts. The statistics are occasionally commented upon in the public debate. , Read more about relevance, Accuracy and reliability, In the first release of the figures for foreign trade in services there will be a certain degree of uncertainty as a minor part of the data has either not been reported yet or has errors to a degree that it cannot be included in the release. In these cases data will be supplemented by estimations. The reliability of the figures for a given quarter increases in later releases. The final figures are to be considered as fairly reliable, to a decreasing degree though the more detailed level that is applied., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every quarter approx. 40 days after the end of the reference period and are normally published without delays as to the preannounced dates.., Read more about timeliness and punctuality, Comparability, The International trade in services statistics are compiled according to international standards. Accordingly they are comparable with the statistics of other developed countries., 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 , International trade in services, . For further information, go to the , subject page, . , Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Development in Rents (housing)

      Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is 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 Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative 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). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, 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 (only approx. 85,000 for 1. quarter 2022) 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 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

      Documentation of statistics

      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: 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
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