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      Documentation of statistics: Benefits during sickness or in connection with childbirth (Discontinued)

      Contact info, Labour Market , Torben Lundsvig , TLU , TLU@dst.dk , Get documentation of statistics as pdf, Benefits During Sickness or in Connection with Childbirth 2019 , Previous versions, Benefits During Sickness or in Connection with Childbirth 2018, Benefits During Sickness or in Connection with Childbirth 2017, Benefits During Sickness or in Connection with Childbirth 2016, Benefits During Sickness or in Connection with Childbirth, Benefits During Sickness or in Connection with Childbirth 2013, The purpose of Benefits in connection with sickness and childbirth is to illustrate the use of the law on sickness respectively maternity law. The statistics have been compiled since 1995, but in its present form comparable from 2003. From the year 2017, the statistics contain only information about sickness benefits because Udbetaling Danmark has taken a new administrative IT system for maternity allowance in use. Maternity benefits will be an independent statistics from 2020. , Statistical presentation, The sickness and maternity allowance is an annual statement of the number of persons, days and amounts paid in connection with illness or childbirth. From the year 2017 only information for unemployment benefit paid in connection with illness. The calculations are distributed according to the legal basis for the payment of unemployment benefits, age, sex and geography. In addition, figures from the daily allowance for sickness and birth are included in the statistics, Publicly Provided, where the extent of absence due to illness or maternity leave is included in a larger context. , Read more about statistical presentation, Statistical processing, Data comes from the two administrative registers The Administrative Joint-municipal Register for Sickness Benefits and the National Administrative Register for Childbirth Benefits (ended May 2017). When received there are some mechanical monitoring and doublets are removed. When estimating the duration of a case not having a finale date the final date is set to the last day of the year if the case is about sickness benefits. If the case is about childbirth benefits the final date is estimated as the starting date plus the average length measured in days of similar cases having a finale date., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining. The sickness benefit part of the statistic is together with the maternity and paternity leave part section mostly used as an important data element of Analyses of the Danish workforce productivity (economic modeling), Statistics Labour Market Accounts, Statistics Persons receiving public benefits and general absence statistics., Read more about relevance, Accuracy and reliability, The statistics summarize the reports of illness, birth or adoption that have triggered the payment of unemployment benefit. The expectation is that all sickness benefit issues with payment will be reported. Similarly, the expectation is that all cases of payment due to maternity leave, maternity leave or leave due to adoption are reported. Therefore, the statistics can be expected to be reliable. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in the month of March the year after the reference year. March is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old., Read more about timeliness and punctuality, Comparability, The statistics is influenced by local Danish law. The law of parental leave is unchanged since 2002 and it is possible to compare the figures back to 2003. Concerning sick leave there has been several adjustment making it more difficult to compare over time., Read more about comparability, Accessibility and clarity, In Statistics Bank Denmark the statistics are published s in the tables under the subject , Sickness benefits, and , Maternity benefits, In addition, the statistics include the Statistical Ten Year Overview., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/benefits-during-sickness-or-in-connection-with-childbirth--discontinued-

      Documentation of statistics

      Documentation of statistics: International labour cost indices (Discontinued)

      Contact info, Personal Finances and Welfare , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, International Labour Cost Indices 2022 Quarter 3 , Previous versions, International Labour Cost Indices 2020 Quarter 1, International Labour Cost Indices 2019, International Labour Cost Indices 2015 Quarter 2, International Labour Cost Indices 2015 Quarter 1, International Labour Cost Indices 2014 Quarter 1, The purpose of publishing the international labour cost indices is to compare trends in earnings and other labour costs in the private sector in Denmark with trends in the EU countries and the US. The figures for the EU countries are collected from EU’s statistical office, Eurostat, which publishes the figures on their homepage on a quarterly basis. Eurostat collects information from each member state’s national statistical institution. The U.S. figures are collected by the U.S. Department of Labour, Bureau of Labor Statistics, which publishes their figures on their own homepage. , The international labour cost indices are not directly comparable with the national indices of average earnings., Statistical presentation, The indices are published on a quarterly basis to show developments of the Danish and other countries labour costs in an international setting. The figures from EU member countries are based on EU-harmonized regulations. It is expected that the harmonization will extend gradually over time. The numbers are not fully comparable to the Danish national indices of average earnings, which are collected and published quarterly. The international labour cost indices are exclusively published in Statistics Denmark’s quarterly news release , NYT fra Danmarks Statistik, entitled , International Labour Costs, , and where the EU-figures are collected from Eurostat database while the US figures stems from the Bureau of Labor Statistics (BLS) database., Read more about statistical presentation, Statistical processing, Data is collected from different sources where the data already has gone through statistical processing before being published., Read more about statistical processing, Relevance, The indices are used to compare and analyze how the Danish labour costs perform in an international setting, as it is an important indicator of the state of play of the Danish competitiveness compared to other countries. The statistics are therefore often mentioned in the daily news press and are often an important feature in the national public debate., Read more about relevance, Accuracy and reliability, As the methods used for collection and production of the indices differ in all the countries included in the international labour cost indices, it is only possible to make any conclusions on the accuracy and reliability of the Danish index., In general the reliability of the Danish labour cost index is, due to the size of the sample and the thorough search for errors which is performed, considered to be quite good. This is especially true in the case of the indices on the more aggregate level, such as for the whole business economy or the largest sectors of economic activity. For the smaller sectors of economic activity, the reliability is for natural reasons lower., Read more about accuracy and reliability, Timeliness and punctuality, The indices are normally published without any delay approximately 80 days after the turn of the quarter being measured. However the dissemination regarding 4th quarter 2019 was delayed due to lacking data on holiday payments, resulting from the transition period in implementing the Danish Holiday Act 2020. Please refer to the description of other uncertainties under S.13.3., Read more about timeliness and punctuality, Comparability, In 2008 Eurostat changed from using Industry Classification NACE Rev. 1.2 to NACE Rev. 2. Because of this, there is a slight change in the data belonging to the , the private sector, starting from 2008, which was also conveyed in the publications of the statistics. Before this change, the data included the class of industries C-F according to NACE Rev. 1.2. After the change, the sectors of economic activity covered are B-N according to NACE Rev. 2., Read more about comparability, Accessibility and clarity, The indices are only published in Statistics Denmark's news release , NYT, . The international figures are not available in the Statbank. The figures and other information can instead be found on Eurostat's or BLS' homepages or databases., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-labour-cost-indices--discontinued-

      Documentation of statistics

      Documentation of statistics: Price and Volume Indicators (Discontinued)

      Contact info, Food Industries , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Price and Volume Indicators 2017 Quarter 4 , Previous versions, Price and Volume Indicators 2017 Quarter 3, Price and Volume Indicators 2017 Quarter 2, Price and Volume Indicators 2017 Quarter 1, Price and Volume Indicators 2016 Quarter 4, Price and Volume Indicators 2014 Quarter 4, Price and Volume Indicators 2014 Quarter 3, Price and Volume Indicators 2014 Quarter 2, The purpose of these statistics is to show actual changes (monthly, quarterly or yearly) in prices and volumes in agriculture to indicate developments in overall economics in agriculture., A part of the statistics have been calculated since 1956, but since 1976 the most widely definition has been used, which includes horticulture, fur production and products from bees and wild game. Base year in the prices indices is changed every fifth year, and latest base year is 2010., Statistical presentation, The Statistics contains for almost all items, monthly, quarterly and yearly information of agricultural prices, as well on sale products as on most products used in the intermediate consumption including capital formation. Some prices are only obtainable as price indices only, especially regarding intermediate consumption. Furthermore the volumes are shown for animal products. The statistics covers both agriculture and horticulture. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected at different frequencies from multiple sources. The collected data undergoes a simple validation. Once data is validated, aggregation occurs for a portion of data before publication, while other data is published directly., Read more about statistical processing, Relevance, The statistics is used by the agricultural organizations and the Ministries (primary the Ministry of Environment and Food of Denmark) to follow the price- and volume developments and to make analyses and forecasts. Furthermore, there is a need in the industry to follow price developments. The statistics cover the need primarily to calculate value added needed for the agricultural gross factor income calculation, which is a part of the National account. , Read more about relevance, Accuracy and reliability, On some products, i.e. horticultural products, qualities and types are several and dynamic. It makes it a little difficult to be sure on the representatively on the prices followed. Concerning input prices based on general price statistics, the situation in agriculture are maybe not fully reflected. Some indices on volumes are indirectly measured based on values and price indices. This method can lead to inaccuracy. The declaration on content on Economic Account for Agriculture and these on animal production includes more information on possible inaccuracy. Because of the very different picture of sources, margins of statistical errors can not be calculated. However, for main output products, i.e. milk and meat, the coverage and accuracy are close to 100 per cent. Prices on cereals and feeding stuff (concentrates) are based on more that 70 per cent of total volume, which ensure high reliability. In general, the accuracy is highest on sales product and less high on intermediate consumption and goods for capital formation., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is regarded as punctual., Read more about timeliness and punctuality, Comparability, Not applicable., Read more about comparability, Accessibility and clarity, The statistics are published in "Landbrug, gartneri og skovbrug" (Agriculture) appearing in the series "NYT fra Danmarks Statistik" (Statistical News) and in the annual publications Statistical Yearbook, Statistical Ten-Year Review and "Jordbrugets prisforhold". Results are available in tables in http://www.statbank.dk, on monthly, quarterly and yearly basis: LPRIS10, LPRIS15, LPRIS20, LPRIS25, LPRIS30 and LPRIS35., The statistics are published quarterly in the series "Nyt fra Danmarks Statistik" (Statistical News). In the Statbank are the data unter the subject , Priser og prisindeks for jordbrug, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-and-volume-indicators--discontinued-

      Documentation of statistics

      Documentation of statistics: Construction Survey (Discontinued)

      Contact info, Short Term Statistics , Get documentation of statistics as pdf, Construction Survey 2021 , Previous versions, Construction Survey 2020, Construction Survey 2019, Construction Survey 2018, Construction Survey 2017, Construction Survey 2016, Construction Survey 2015, The purpose of the tendency survey for the construction industry is to provide a fast and up-to-date picture of conditions and expectations in the construction industry. As from the 1st quarter of 1970 Statistics Denmark has conducted a tendency survey for the construction industry. From 1970 to 1997 the tendency survey was conducted quarterly. To harmonize with the surveys conducted by other EU member states, the Danish tendency survey has been conducted monthly since January 1998. This change also implied that further questions were added to the survey., Statistical presentation, The purpose is to provide data on some essential short-term economic factors within the construction industry. The survey is a qualitative assessment on developments over the past three months and expected developments over the next three month, based on the variables , employment, , , sales, , , prices, , , new orders, and , limits to production, . Also is asked , how many months work is accounted for in the order book, ., Read more about statistical presentation, Statistical processing, Monthly business survey data is collected from a sample of approximately 800 enterprises. Data is reported either online at http://www.VIRK.dk or in paper questionnaire, and consists of qualitative information about changes in net sales, employment, prices, orders, etc., which are not validated. The collected data are enumerated from the sample to the total population weighted by employment data, and distributed at industry and size groupings. If seasonal variation patterns are detected for the indicators that constitute the composite confidence indicator, data is adjusted for this., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, Regarding , Accuracy, , sampling error is estimated to plus/minus 1-2 percentage points for the confidence indicators. The figures are by definition , reliable, , since they are not revised., Read more about accuracy and reliability, Timeliness and punctuality, The Survey is launched about 5 working days before the beginning of the survey month. Questionnaires or e-mail notification is send out. Deadline for responses is about the 6th of the survey month. Reminder is send about the 13th giving new deadline about the 20th of the survey month. The statistics is compiled about the 24th immediately before deadline for sending data to EU-partner DG ECFIN. Last but one working day before the end of the survey month data is published in both Denmark and EU. The process always runs punctual., Read more about timeliness and punctuality, Comparability, The Construction Sector survey has been conducted since 1970 by Statistics Denmark. , The survey is conducted in partnership with DG ECFIN and historical data is to be found at their , homepage, ., Read more about comparability, Accessibility and clarity, Results of the business tendency surveys are published monthly at , Statistics Denmark, ; Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Konjunkturbarometer for Serviceerhverv, and in English at the homepage , Short term trends, . Detailed data is available in English version at , http://www.statbank.dk, ; choose English language and look for the tables KBB11-KBB66., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Car Register and Publications

      Contact info, Short Term Statistics , Karina Moric Ingemann , +45 24 78 42 12 , KAM@dst.dk , Get documentation of statistics as pdf, Car Register and Publications 2024 , Previous versions, Car Register and Publications 2020, Car Register and Publications 2019, Car Register and Publications 2018, Car Register and Publications 2017, Car Register and Publications 2016, Car Register and Publications 1992, The purpose of The Car Register and Publications is to provide a basis for statistics concerning vehicles in Denmark, their owners and users. The statistics have been compiled since 1992, and is in its current state comparable from 1992 and onward. The register forms the foundation for statistic calculation, concerning the population of car availability and purchase of cars, where the vehicles owners and users is visualized using data from the population statistics area. The car register and other registers are also used for statistics and data extracts to internal and external users., Statistical presentation, The Statistics includes monthly and yearly calculations of current and historical information’s about vehicles and their owners. The most significant calculations of the newly registered vehicles, is their use for assessment of households and businesses use and investments. Important information’s about the vehicles is type, use, model and variant, weight and fuel type, owner/user relationship, geographic location as well as purchase price. Stock figures, new registrations and used car trade are calculated, as well as energy efficiency, families' availability of cars and car purchases., Read more about statistical presentation, Statistical processing, Data for the Vehicle Register is collected monthly from the Digital Motor Register (DMR). In addition, data from various registers in Statistics Denmark are collected. The central database tables from DMR are transformed for statistical use. Depending on the purpose, data from the other registers is connected using the owner or user IDs. The series with new registrations, accession of and leasing as well as used car sales of passenger cars are seasonally adjusted. The quality measures for the seasonally adjusted series indicate that there are clear seasonal patterns., Read more about statistical processing, Relevance, The statistics is relevant for short-term assessments (new registers etc.), in the road transport statistics (random sample basis) and to illustrate the populations purchase of and access to vehicles., The basic data of the statistics is included in the government's legal model, in the national accounts and in calculations of the value of the cars of households and businesses, as well as family assets. Data from the register are used to prepare statistics on paid services., The register's vehicle and personal data are also used for other social statistics, including service tasks for a fee., Read more about relevance, Accuracy and reliability, The register and the publications are generally highly precise and reliable with only very limited changes to former published data. These corrections does by experience only result in very limited corrections in the main figures formerly published, i.e. less than 0.5 per mille. , The seasonal adjusted series are of good quality with well-defined seasonal patterns., The number of families in the publications of the families' purchase of or access to private cars are fully compatible with the numbers in the area of population statistics., Read more about accuracy and reliability, Timeliness and punctuality, Newly registered vehicles, monthly: Publishing time 2023 9,75 days. , Energy efficiency for newly registered private cars, yearly: Publishing time 2024 88 days, “Motorparken” yearly: expected publication time 2024 88 days., Families' car purchases, annual: Publication time 2023 183 days., Families car availability, yearly: Publication time 2022 177 days. , The value of newly registered private cars, yearly: publication time 2023 64 days. , The register is updated 3 days after the end of the preceding month's calculations., Read more about timeliness and punctuality, Comparability, The statistics are compiled since 1992, and are comparable from 1992 and onwards., There are only limited differences between the statistical concepts in Denmark and other countries and they have no influence on the main figures., There have since 1994 been a few alterations with respect to employment status/job groups, definition of families, municipalities and weight limits. There is therefore no full comparability over time at a detailed level within these., The transition from CRM to the Digital Motor Register, DMR has caused no breaks in data., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistical Denmark:, Latest article with new registrations in News from Statistics Denmark, Latest article with stock figures in News from Statistics Denmark, Paid services with individual and tailor-made tables as well as research access are obtainable. See:, DST Consulting, Research Services homepage, Documentation of the car register and its data, Segment overview, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/car-register-and-publications

      Documentation of statistics

      Documentation of statistics: Regional Accounts

      Contact info, Government Finances, Economic Statistics , Ulla Ryder Jørgensen , +45 51 49 92 62 , URJ@dst.dk , Get documentation of statistics as pdf, Regional Accounts 2024 , Previous versions, Regional Accounts 2023, Regional Accounts 2022, Regional Accounts 2021, Regional Accounts 2020, Regional Accounts 2019, Regional Accounts 2018, Regional Accounts 2017, Regional Accounts 2016, Regional Accounts 2015, Regional Accounts 2014, Regional Accounts 2013, Regional Accounts 2012, The purpose of regional accounts is to describe the economic activity in the regions and provinces within the framework of national accounts definitions and classifications. The accounts are compiled in accordance with the guidelines set out in ESA2010 and are comparable with regional accounts for other European countries. Regional accounts are published at the NUTS II level (regions) and NUTS III level (provinces). Regional accounts have been compiled since 1999., Statistical presentation, Regional accounts describe the geographical dimension of production and income conditions as these are compiled in the national accounts using the production approach. The regional allocation aims at adding production etc. to the region where production takes place. , Regional accounts contain information on GDP, gross value added, gross fixed capital formation, compensation of employees and employment. Moreover the household sector's incomes are compiled. The regional allocation of the household income is based on the residence of the households and not where the incomes are earned., Read more about statistical presentation, Statistical processing, The statistics are based on regional versions of the national accounts' sources, where this is possible. The main sources are Accounting Statistics for Non-agricultural Private Sector and General Government Finances Statistics. The sources are used either directly or as a distribution key. The regional accounts are revised in line with the publication rhythm of the national accounts. The final figures for the regional accounts are therefore not available until three years after the end of the reference period., Read more about statistical processing, Relevance, National and regional accounts are relevant for all, who deal with economic and regional matters., Read more about relevance, Accuracy and reliability, Regional accounts are subject to the same margins of uncertainty as the annual national accounts and the inaccuracy here relates to the inaccuracy of the various sources used. However, the conceptual consistency and over time uniform adaptation of the sources contribute to reduce the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases reveals errors, which are therefore not reflected in the final national accounts. With regard to the regional dimension the following factors can be mentioned:, Read more about accuracy and reliability, Timeliness and punctuality, First version of regional accounts is published 12 month after the reference year. Final regional accounts are published 3 years after the reference year. Regional accounts have a high degree of punctuality, Read more about timeliness and punctuality, Comparability, Regional accounts are consistent with the national accounts, as the sum of the figures for each region with respect to each individual variable is equal to the national accounts value for the same variables. Consequently, each variable can be interpreted in the same manner as the national accounts variables. Regional accounts are based on guidelines set out in ESA2010 and are thereby directly comparable with other regional accounts from the EU Member States. Consistent time series are available for 1993 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release. In the StatBank, these statistics can be found under , National accounts by region, . For further information, go to the , subject page, ., Regional accounts by 38 industries and 11 provinces/5 regions are available (at a charge). Furthermore regional data can be provided (at a charge) for groups of municipalities with a joint population of at least 100.000 inhabitants. In addition GDP and other non-industry data is available for municipalities with a population of at least 10.000 inhabitants., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Job Vacancies

      Contact info, Labour Market, Social Statistics , Monica Wiese Christensen , +45 21 73 34 69 , MWC@dst.dk , Get documentation of statistics as pdf, Job Vacancies 2025 Quarter 4 , Previous versions, Job Vacancies 2025 Quarter 3, Job Vacancies 2025 Quarter 2, Job Vacancies 2025 Quarter 1, Job Vacancies 2024 Quarter 4, Job Vacancies 2024 Quarter 3, Job Vacancies 2024 Quarter 2, Job Vacancies 2024 Quarter 1, Job Vacancies 2023 Quarter 4, Job Vacancies 2023 Quarter 3, Job Vacancies 2023 Quarter 2, Job Vacancies 2023 Quarter 1, Job Vacancies 2022 Quarter 4, Job Vacancies 2022 Quarter 3, Job Vacancies 2022 Quarter 2, Job Vacancies 2022 Quarter 1, Job Vacancies 2021 Quarter 4, Job Vacancies 2021 Quarter 3, Job Vacancies 2021 Quarter 2, Job Vacancies 2021 Quarter 1, Job Vacancies 2020 Quarter 4, Job Vacancies 2020 Quarter 3, Job Vacancies 2020 Quarter 2, Job Vacancies 2020 Quarter 1, Job Vacancies 2019 Quarter 4, Job Vacancies 2019 Quarter 3, Job Vacancies 2019 Quarter 2, Job Vacancies 2019 Quarter 1, Job Vacancies 2018 Quarter 4, Job Vacancies 2018 Quarter 3, Job Vacancies 2018 Quarter 2, Job Vacancies 2018 Quarter 1, Job Vacancies 2017 Quarter 4, Job Vacancies 2017 Quarter 3, Job Vacancies 2017 Quarter 2, Job Vacancies 2017 Quarter 1, Job Vacancies 2016 Quarter 4, Job Vacancies 2016 Quarter 3, Job Vacancies 2016 Quarter 2, Job Vacancies 2016 Quarter 1, Job Vacancies 2015 Quarter 4, Job Vacancies 2015 Quarter 3, Job Vacancies 2015 Quarter 2, Job Vacancies 2015 Quarter 1, Job Vacancies 2014 Quarter 4, The purpose of the statistics is to analyze the development in the number of job vacancies held by employers in the Danish labour market. The job vacancy statistics is an important labour market indicator as businesses typically reduce the number of job vacancies before they begin the dismissal of employees. Data on job vacancies is collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Statistical presentation, The statistics shows the quarterly development in the real number of job vacancies and job vacancy rates in relation to the sum of job vacancies and occupied posts in the Danish labour market. The statistics are broken into economic activity and size, which makes it possible to monitor and analyse the scope and structure of the demand for labour by industry and size level of the workplaces. Furthermore, the number of job vacancies and job vacancy rates at regional level are estimated., Read more about statistical presentation, Statistical processing, The statistics are compiled with use off a digital questionnaire, with a quarterly survey population of approximately 7,000 local units . Data are corrected for errors and for not reported data an imputation is conducted. , Read more about statistical processing, Relevance, The users of the statistics are primary the press, private companies, private persons and Eurostat. The statistic is used in analysis about the demand for labour and in the public debate. Data on job vacancies are collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Read more about relevance, Accuracy and reliability, As with all other sample-based statistics, there are some sample errors associated with the estimates. As is the case in other EU Member States, the variation coefficient (CV), which is the standard deviation in relation to the estimate, is used in calculating the sample errors. For the total number of occupied posts the variation coefficient normally is under 1 per cent, while for the total number of job vacancies the variation coefficient is 3-5 per cent. For the NACE sections and size classes the CV are relatively high. This is due to the great variations between the number of job vacancies reported and the many data reported concerning zero vacancies.., Read more about accuracy and reliability, Timeliness and punctuality, Data are released around 75 days after the reference quarter. The punctuality is very high, as delays in planned releases happen very rarely., Read more about timeliness and punctuality, Comparability, From the third quarter of 2012 a new more updated population is used in the enumeration process. The population is drawn from the ESR-register and contains information on the number of occupied posts, which are only three quarters old compared to the former population which was based on a less updated register. The changed enumeration process is estimated to have impact on the number of job vacancies, but not on the JVR (Job Vacancy Rate), which means that the number of job vacancies are not comparable historically in contrast to the JVR., 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 , Job vacancies, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/job-vacancies

      Documentation of statistics

      Documentation of statistics: Household Budget Survey

      Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2024 , Previous versions, Household Budget Survey 2023, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The Household Budget Survey is a sample survey in which approximately 2,600 households are selected from Denmark’s total of around 2.9 million private households. From 2024, data will be collected annually from about 1,300 households, and the sample for a given year’s survey is based on data collected over a two‑year period., The survey includes information from three data sources: accounts, interviews, and administrative registers., All consumption expenditures, incomes, etc. are adjusted to correspond as closely as possible to the price and volume level of the final year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, Only 8 percent of the contacted households chose to participate in the Household Budget Survey. This creates uncertainty, particularly for detailed consumption groups. For total consumption, this results in a margin of uncertainty of ±1.4 percent, while for items such as bread it is 1.8 percent, and as high as 18.6 percent for a rarely purchased item such as offal. There is underreporting in several areas, such as alcohol, tobacco, prostitution, and undeclared work. Uncertainty is greater when data are based on diary entries rather than interviews, and it increases further when looking at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is carried out in accordance with the guidelines of Eurostat, the Statistical Office of the European Union. Comparable figures are published by Eurostat. From 1994 onwards, the survey methodology was revised so that the survey is now conducted annually using the same method and on a comparable basis., Data for the years 2014 to 2022 were based on a two‑year sample and the ECOICOP nomenclature. To ensure comparability over time, data from 1994 to 2013 were recalculated according to this nomenclature in both current and constant prices., From 2024, COICOP2018 has been implemented in the Household Budget Survey as a result of the survey becoming regulation‑based. Data from 2015–2022 have been recalculated in both current and constant prices according to COICOP2018 to ensure continuity., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published 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 , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

      Documentation of statistics

      Documentation of statistics: Adult education and continuing training

      Contact info, Population and Education, Social Statistics , Susanne Mainz Sørensen , +45 20 34 51 79 , SMS@dst.dk , Get documentation of statistics as pdf, Adult education and continuing training 2025 , Previous versions, Adult education and continuing training 2024, Adult education and continuing training 2023, Adult education and continuing training 2022, Adult education and continuing training 2021, Courses and Adult Education 2020, Courses and Adult Education 2019, Courses and Adult Education 2018, Courses and Adult Education 2017, Courses and Adult Education 2016, Courses and Adult Education 2016, Courses and Adult Education 2013-2014, Courses and Adult Education 2012-2013, The purpose of the statistics is to provide a picture of the people's participation in courses and adult education i.e. formal courses which are financed, planned and controlled by a public provider., The data collection on course activities has stated at different times for the different course types, and the first ones are registered from 1970's. , Statistical presentation, The statistics gives information on number of persons participating in courses and adult education i.e. formal external courses which are financed, planned and controlled by a public provider. If an education consists of several modules as in the case of Higher Preparatory Examination (HF) or a diploma, each module is counted. The information is collected and kept in the Course Participation Register., If the course participant has completed a number of courses that add up to a whole education e.g. the Higher Preparatory Examination (HF), an academy exam or a diploma the information on the attained qualifications is collected and kept in the Quality Register., Read more about statistical presentation, Statistical processing, Data comes from eight different data collection. , The Ministry of Immigration and Integration collect and checks data for language courses for foreigners before data is send to Statistics Denmark. The Ministry of Education collect and checks data for the adult vocational programmes (in Danish AMU), general and preparatory education and Business Schools before is send to Statistics Denmark. The information from the vocational colleges, business academies, universities and artistic educational institutions is collected by Statistics Denmark After the data has been received, all data undergo an error check in Statistics Denmark., Read more about statistical processing, Relevance, The users of the statistics includes individuals, civil servants, private organizations, foreign actors and the respondents of the data., Applications: Public and private planning, Research, Education, Debate and Marketing etc., One to two times a year members of a Danish committee on education (in Danish, "Ekspertudvalget for Uddannelsesstatistik") meets. In connection with this meeting user-representatives from selected ministries, Labour market organisations and NGOs in the education sector have the opportunity to comment on the statistics., Read more about relevance, Accuracy and reliability, The school year 2025 lacks information on AVU, FVU, HF single subject, dyslexia education, GSK, GIF and open profession. They will be included in the next update of the table. Please note that data at institutions under Ministry of Culture are not included. Moreover, under reporting sometimes occurs the first years after a new activity has been reported. , The far most important source of inaccuracy is incorrect or insufficient registrations. The course provider have the opportunity of reporting supplementary data for previous periods, mainly the year before. Therefore, the latest year is considered as being provisional. The opportunity is used only in a few cases. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published within one year after the reference year. The date of publication may vary and is therefore announced separately each year., The statistics is published on time., Read more about timeliness and punctuality, Comparability, Consistency over time is good in some areas e.g. for Higher Preparatory Examination (in Danish, HF) and Business Administration (in Danish, HD). In other areas as is the case with adult vocational programmes (in Danish, AMU), many changes in course subject and course length make comparability difficult. The activity reflects the trends on the labour market and changes in subsidies. There are no comparable statistics from other countries., Statistics Denmark has since 2015 released data about the course Danish labour market language skills. Since July 1 2017 this course is no longer being offered and has resulted in a notable decrease in the numbers. , Read more about comparability, Accessibility and clarity, The main figures are published in Statbank Denmark under the subject , Adult education programmes, ., Taylor-made statistics is available via , Statistics Denmark's Costumers Centre, . , Micro-data are accessible via , Denmark's Data Portal, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-and-continuing-training

      Documentation of statistics

      Documentation of statistics: Registered unemployment

      Contact info, Labour Market, Social Statistics , Mikkel Zimmermann , +45 51 44 98 37 , MZI@dst.dk , Get documentation of statistics as pdf, Registered unemployment 2025 , Previous versions, Registered unemployment 2024, Registered unemployment 2023, Registered unemployment 2022, Registered unemployment 2021, Registered unemployment 2020, Registered unemployment 2019, Registered unemployment 2018, Registered unemployment 2017, Registered unemployment 2016, Registered unemployment 2015, Registered unemployment 2014, The purpose is to produce statistics monitoring the structure and trends in the unemployed population and the causes of unemployment. The statistics are compiled on the basis of registers. The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. As from the publication of unemployment statistics for January 2010, attention is now focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. , Statistical presentation, The register based unemployment statistics (gross- and net-unemployed) provide monthly data on the unemployed population registered with the unemployment insurance funds and with the public job centres. The statistics comprise all unemployed persons insured against unemployment and non-insured persons who are available for work and at the same time claiming cash benefits under the Danish Social Assistance Act. The statistics are shown by municipality, sex, age group, type of benefit, unemployment insurance funds, country of origin and level of education. , Read more about statistical presentation, Statistical processing, All the data is collected from administrative registers. After receiving the data we make a data validation and a harmonization before entering the data into our oracle-database for further data processing, including an elimination of illegal 'overlapping' data. , Read more about statistical processing, Relevance, Users: Municipalities, regions, ministries, job centers, organizations, international organizations, the media, private business enterprises, and private individuals., Fields of application: Public and private structural analyses and trade cycle surveys, educational purposes and public debate., There has not been any actual 'satisfaction-examination' carried out, but the general use of the statistics, for instance by the media, has always been considerable., Read more about relevance, Accuracy and reliability, The statistics comprise all unemployed persons above 16 and until they reach their official retirement age. Only persons registered as recipients of unemployment benefits or social assistance/initial assistance are covered by the statistics. Persons who do not receive social assistance or unemployment benefits are thus excluded from the statistics on unemployment, although they are registered with the public job centres. It is impossible to give a single figure on the statistical accuracy, but apart from the circumstance that a person must receive unemployment benefits or social assistance in order to be registered as unemployed, the accuracy of the statistics is relatively high., Read more about accuracy and reliability, Timeliness and punctuality, The monthly unemployment statistics is published roughly 28 days after the end of the reference month, the quarterly statistics is published roughly 80 days after the end of the reference quarter and the yearly statistics is published roughly 100 days after the end of the reference year. The exact official release dates are always published a year ahead., Read more about timeliness and punctuality, Comparability, The statistics on the registered number of net unemployed have been compiled by Statistics Denmark since 1979. To avoid a great number of discontinuities of the data series, the statistics have roughly speaking remained unchanged since 1979. However, the unemployment statistics have been adjusted as from the publication of unemployment figures for January 2008. The underlying primary data have been edited and changes have been made to the concept of unemployment, which imply that the Danish concept of net unemployment is now closer to the definition of unemployment applied by the International Labour Office, ILO, see item 3.1. All changes have been made back to April 2000. As from the publication of unemployment statistics for January 2010, attention is now also focused on the gross unemployed population, defined as the sum of the registered (net-) unemployed population and persons in activation programmes and who are, at the same time, considered to be available for work. The figures on gross unemployment are calculated from January 2007 and onwards. When the register based unemployment statistics depends on a number of national administrative registers it is not a good statistics for international comparisons. For international comparisons of unemployment you ought to use the unemployment figures from the labour force surveys in the different countries instead., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release, at the same time as the tables are updated in the StatBank. The statistics are published quarterly and yearly only in the , StatBank, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/registered-unemployment

      Documentation of statistics
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