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Documentation of statistics: Recipients of subsidy for private day-care

Contact info, Population and Education, Social Statistics , Annemarie Schriver , +45 40 18 43 54 , RIE@dst.dk , Get documentation of statistics as pdf, Recipients of subsidy for private day-care 2024 , Previous versions, Recipients of subsidy for private day-care 2023, Recipients of subsidy for private day-care 2022, Recipients of subsidy for private day-care 2021, Recipients of subsidy for private day-care 2020, Recipients of subsidy for private day-care 2019, Recipients of subsidy for private day-care 2018, Recipients of subsidy for private day-care 2017, The statistics illustrates the number of children and the number of families receiving subsidies for private day-care or for care of their own children. These statistics are comparable from 2004 and onwards., Statistical presentation, The statistics is an annual inventory for the 3. of October of the number of children and the number of families receiving subsidies for private day-care or for care of their own children after the Day Care Act, Dagtilbudsloven (§ 80 and § 86). The statistics are grouped by municipalities., Read more about statistical presentation, Statistical processing, Data is received through electronic reporting from all municipalities. If the information is assessed to be incorrect, Statistics Denmark contacts the municipalities and assures the data through a dialogue with the municipalities., Read more about statistical processing, Relevance, The statistics is relevant for ministries, municipalities and professional organizations. They use it as a foundation for analysis and reports etc., Read more about relevance, Accuracy and reliability, The primary uncertainty related to the statistics comes from typing errors made by reporters in the municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published around five months after the reference period. The statistics is published with no delays., Read more about timeliness and punctuality, Comparability, There is comparable data for the number of children receiving subsidies from 2004 until today. The statistics can be found in the StatBank in tables PAS2 (2004-2006) and PAS22 (2007-2014)., Read more about comparability, Accessibility and clarity, These statistics are published in the Statbank under , Childcare, in the table , DAGTIL4, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/recipients-of-subsidy-for-private-day-care

Documentation of statistics

Documentation of statistics: Child care in private kindergartens before school start

Contact info, Population and Education , Get documentation of statistics as pdf, Child care in private kindergartens before school start 2023 , Previous versions, Child care in private kindergartens before school start 2022, Child care in private kindergartens before school start 2021, The following statistics show the number of enrolled children and the number of employed personnel in private daycare institutions. Children and personnel are assessed as full-time equivalent. The statistics are published for the first time in the year 2022., Statistical presentation, The statistics provide an annual report on the number of enrolled children and staff with educational responsibilities in private daycare institutions. Both children and staff are converted into full-time equivalents, and only pedagogical staff, such as pedagogical managers, early childhood educators, assistants, and aides, are included in the report. Children and staff in day care, pool scheme institutions, as well as municipal and self-governing daycare institutions, are not included in the statistics., Read more about statistical presentation, Statistical processing, Information on enrolled children and staff with educational responsibilities is received electronically from the municipal administrative systems and private payroll providers. Data validation is conducted, and the data may potentially be adjusted as a result of this process., Read more about statistical processing, Relevance, The ministries use the statistics to compare municipal resource allocation for childcare and to develop policies in the area. Interest organizations, such as BUPL, KL, and FOLA, use the statistics to evaluate resource allocation and the service level in the childcare sector. The data is collected based on an agreement between Statistics Denmark and the Ministry of Children and Education., Read more about relevance, Accuracy and reliability, Data primarily originates from municipal administrative systems. The accuracy may be affected by errors and omissions in the municipalities' records and the private daycare payroll data, as well as the correctness of keys used, for example, to allocate children into age groups in integrated institutions., Read more about accuracy and reliability, Timeliness and punctuality, To be implemented, Read more about timeliness and punctuality, Comparability, To be implemented, Read more about comparability, Accessibility and clarity, To be implemented, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/child-care-in-private-kindergartens-before-school-start

Documentation of statistics

Documentation of statistics: Radio and TV Statistics, Equipment Statistics, Appliances and Distribution (Discontinued)

Contact info, Science, Technology and Culture , Get documentation of statistics as pdf, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2016 , Previous versions, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2015, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2014, Radio and TV Statistics, Equipment Statistics, Appliances and Distribution 2013, These statistics are meant to provide easy, simple access to basic facts on the reception of electronic media in Denmark. For example, they show how many households receive TV via cable, satellite dish or aerial, and the proportion with special reception appliances. , Statistical presentation, Distribution shows statistics for different types of media appliances within the population. , Read more about statistical presentation, Statistical processing, The role of Statistics Denmark with respect to this statistics is solely to assure the quality and communicate information that is selected, collected, processed and disseminated by other producers of statistics/data suppliers. Please refer to the original sources for a detailed review of the statistical processing, Read more about statistical processing, Relevance, The user satisfaction is not examined. These statistics are used by ministries, students and the press., Read more about relevance, Accuracy and reliability, Overall reliability is basically satisfactory. Several equipment statistics tables are based on sources which cover 95-100 pct. of the population. These are the tables based on figures from the Danish energy Agency. Please refer directly to the source for further details concerning overall reliability., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are normally published without delay in relation to the notified date., Read more about timeliness and punctuality, Comparability, As the media industry undergoes rapid development, changes can sometimes occur which affect comparability over time. More modern media appliances are included in the statistics, whilst others are withdrawn. Rapid developments can also take place in internet media, e.g. speeds and connection types. , Read more about comparability, Accessibility and clarity, There are no press releases in connection with this statistic., There are statBank tabels with figures, StatBank, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/radio-and-tv-statistics--equipment-statistics--appliances-and-distribution--discontinued-

Documentation of statistics

Documentation of statistics: Fur animals production (Discontinued)

Contact info, Food Industries , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Fur Animals Production 2021 , Previous versions, Fur Animals Production 2020, Fur Animals Production 2019, Fur Animals Production 2018, Fur Animals Production 2017, Fur Animals Production 2016, The purpose of the statistics is to illuminate fur production in Denmark, including the production of skins of mink, chinchilla and foxes. The statistics have been compiled since 1990 and are comparable throughout the period. In 2020, all mink were killed in Denmark, Statistical presentation, The statistics provide information on the number of skin from fur animals, the average prices per skin and the total values of the skin production. The stocks of fur animals are distributed by mink, chinchilla and foxes. , Read more about statistical presentation, Statistical processing, Information is collected from Copenhagen Fur. Number of skin produced in 2020 are information from Danish Veterinary and Food Administration. , Read more about statistical processing, Relevance, The statistics on fur production are of great interest to agricultural organizations, the Ministry of the Environment and Food, and the EU. The statistical data are also used in other areas within Statistics Denmark for, among other things, to calculate volume and price indices, as well as Agriculture's gross factor income, which is included in the National Accounts. No survey on the user satisfaction is available. The main impression is a high degree of satisfaction. , Read more about relevance, Accuracy and reliability, The basis for the data are the auctions by Copenhagen Fur. The only place in Denmark, which hole auction with fur. The statistics are compiled from register-based data., Read more about accuracy and reliability, Timeliness and punctuality, The punctuality is high, with delays happening very rarely., Read more about timeliness and punctuality, Comparability, The data is comparable form 1990 onwards., Read more about comparability, Accessibility and clarity, Yearly data about furred animals can be find in Stat Bank , Animalsk produktion, , i tabellen , PELS6, .Data i StatBank Denmark:, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/fur-animals-production--discontinued-

Documentation of statistics

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

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

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

Documentation of statistics

Documentation of statistics: Quarterly national accounts (Discontinued)

Contact info, National accounts, Economic Statistics , Carmela Moreno , cam@dst.dk , Get documentation of statistics as pdf, Quarterly National Accounts 2018 Quarter 4 , Previous versions, Quarterly National Accounts 2018 Quarter 3, Quarterly National Accounts 2018 Quarter 2, Quarterly National Accounts 2018 Quarter 1, Quarterly National Accounts 2017 Quarter 4, Quarterly National Accounts 2017 Quarter 3, Quarterly National Accounts 2017 Quarter 2, Quarterly National Accounts 2017 Quarter 1, Quarterly National Accounts 2016 Quarter 4, Quarterly National Accounts 2016 Quarter 3, Quarterly National Accounts 2016 Quarter 2, Quarterly National Accounts 2016 Quarter 1, Quarterly National Accounts 2015 Quarter 4, Quarterly National Accounts 2015 Quarter 3, Quarterly National Accounts 2015 Quarter 2, Quarterly National Accounts 2015 Quarter 1, Quarterly National Accounts 2014 Quarter 4, Quarterly National Accounts 2014 Quarter 3, The quarterly national accounts present an overall picture of the short-term economic development within the framework of a system of coherent definitions and classifications., Statistical presentation, The National Accounts are designed to present a complete picture of the economy. The National Accounts provide the conceptual and actual tool to bring to coherence all economic activity and development in Denmark., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled on the basis of all relevant short-term statistics describing parts of the economy. Combining these statistics with the definitions and classifications of the national accounts and the detailed annual national accounts makes it possible to balance all the information regarding the supply and use to a complete picture of the economic activity. For more information detailed descriptions of sources and methods can be found in , Danish Quarterly National Accounts, and , Danish Sector National Accounts, ., Read more about statistical processing, Relevance, As the basic data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. Quarterly 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, The quarterly national accounts are compiled using a number of primary statistics. Inaccuracy in these primary statistics as well as the adjustment of the statistics to conform to the national account framework will affect the reliability. However, the juxtaposition in the framework of the national accounts will contribute to reduce the inaccuracy., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly national accounts are published first time 60 days after the end of the quarter and in a revised form 90 days after the end of the quarter. The quarterly sector accounts are published 90 days after the end of the quarter., The statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, The time series in the quarterly national accounts are consistent with the annual national accounts., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik): , Kvartalvist nationalregnskab, ., Statistical News (Statistiske Efterretninger, Nationalregnskab og offentlige finanser)., The annual publication National Accounts (Nationalregnskab)., Data in , Statbank Denmark, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-national-accounts--discontinued-

Documentation of statistics

Documentation of statistics: Labour Market Account

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Labour Market Account 2021 , Previous versions, Labour Market Account 2019, Labour Market Account 2016, Labour Market Account 2015, Labour Market Account 2013, Labour Market Account 2014, New Labour Market Account concerning the population´s labour market status have been developed by Statistics Denmark. , The primary purpose of the Labour Market Accounts (LMA) is to provide a complete overview of the population´s labour market status compiled in terms of full-time persons, covering a given period of time or a given point-in-time., Statistical presentation, The Labour Market Account is compiled annually and provides information on the population´s labour market status, where labour-market related activities are given the highest priority. The statistics are compiled in terms of full-time persons. , Data on the population´s labour market status are broken down by socio-economic groups i.e. persons in employment, students, unemployed persons and other persons receiving public benefits, children and young people and other people outside the labour force., Read more about statistical presentation, Statistical processing, The primary statistical data for the LMA is a newly developed register called the AMR-UN (LMA without standardization of hours)., The AMR-UN is composed of administrative data, which are integrated and harmonised in a statistical system. , On the basis of the AMR-UN, the LMA is constructed by means of an hourly standardization of the population´s labour market status, where a person can at maximum contribute with 37 hours per week, corresponding to the existing hourly standard., Read more about statistical processing, Relevance, Over a number of years Statistics Denmark has carried out work on developing the LMA. Several users have indicated their great interest in and expectations with regard to the statistics/register. , Users of the LMA are typical ministries, organisations and research institutes, etc., Read more about relevance, Accuracy and reliability, In the LMA, a wide range of data sources are subjected to data editing and harmonisation in one statistical system. This implies that the LMA can conduct far better analyses of the labour market than the analyses that can be conducted by each individual statistic. At the same time, the LMA constitutes a census of the population and consequently, the statistical uncertainty is reduced compared to statistics compiled on the basis of sample surveys., Against this background, the quality of the statistics is considered to be relatively high. Despite this, there is still some degree of uncertainty linked to the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 15 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics cover the period 2008 to 2021, and during this period the development are comparable. , Read more about comparability, Accessibility and clarity, The statistic is published i the statbank , Labour market accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-market-account

Documentation of statistics

R-training in Georgia

In Georgia there is definitely something to celebrate! Despite difficulties coming from the new COVID19-normal, 22 participants have just completed their first training in the IT software ‘R’ at the Georgian National Statistical Office (GeoStat) as part of the EU Twinning project. A success assigned to coordination and cooperation across different sectors and domains with multiple partners and interest groups., 18 May 2021 8:00 ,  , An IT review and a discussion with Expertise France... , EU Twinning projects run with a specific set of objectives and clearly defined activities. But in GeoStat something more is bustling as an IT review combined with an ongoing coordination across projects has led to supplementary and essential goals to be pursued., Georgia - table with gear ready for Covid19 and online meeting. , Photo: Steen B. Pedersen,  , IT-resources are scarce in GeoStat why an IT-sector review led by the , UN Economic Commission on Europe (, UNECE), which the Twinning project was invited to take part in, encouraged them to develop an IT-training strategy for both IT and statistical staff. Training of IT staff will raise the skills and competence level of staff and in the long run hopefully attract new IT staff to GeoStat. Training of statistical staff will on the other hand, loosen the pressure on IT-resources. , The IT-sector review also suggested that GeoStat considers alternatives to Excel and MS-Access for statistical production processes. And meanwhile, Twinning experts on different subject areas were working with colleagues from GeoStat on implementing new statistical products and procedures – and choosing IT software was an essential part of that work. Selecting a well-known solution would of course be the easiest on the short run, but this did not happen!  , The Resident Twinning Advisor and the Project leader from Expertise France implementing the EU funded project “Statistics for the Eastern Partnership” (STEP) had long been discussing opportunities for possible areas of cooperation and synergies between the two projects with ‘R’ being a top priority for cooperation. Now to build from the bricks of the IT-sector review and the parallel discussions around cooperation efforts, ‘R’ was instead added to both work plans and course materials with efforts to take the first steps towards implementing an open source software more systematically as an integrated part of the statistical production process.  , Conducting training in times of COVID19, Like so much else, COVID19 also challenges statistical capacity building across borders why the first R-mission in the frame of the Twinning project was conducted online. On a positive note, this allowed for more employees to participate compared to the original plan. 6 sessions, of three hours each, in a combination of plenary introductions and practical training in “breakout rooms” - covered subjects such as data manipulation, data visualisation and more advanced loops and function procedures. , The next training mission will be conducted during the summer 2021. Meanwhile GeoStat employees have the opportunity to test/put their newly adapted skills into practice.,  , # Facts , about the EU Twinning project:, Name: , Strengthening the capacity of the Georgian Statistical system, Partner: ,  , National Statistics Office of Georgia  & Statistics Denmark, Duration: , April 2019 – July 2021,  

https://www.dst.dk/en/consulting/news-from-international-consulting/2021/18-05-2021-R-training-in-Georgia

Documentation of statistics: Quarterly Labour Force

Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Quarterly Labour Force 2024 , Previous versions, Quarterly Labour Force 2019, Quarterly Labour Force 2018, The purpose the Quarterly Labour Market Status (KAS) is to to provide a description of the Danish population's affiliation to the labour market. KAS is an averaging of the populations affiliation to the labour market per quarter and per year and is published annually. KAS covers the hole population from 2017 and on, while it covers the employed part of the population 1st. - 4th. quarter from 2008 to 2017. , Statistical presentation, The Quarterly Labour Market Status (KAS) is an annually individual-based averaging which is calculating the Danish population's affiliation to the labour market per quarter and per year. The statistic is among other things also distributed on information about demography and information about the work place for employees. The statistic is published in StatBank Denmark., Read more about statistical presentation, Statistical processing, The quarterly labour force statistic is based on the Labour Market Account (LMA) which is a longitudinal register. LMA contains information about the populations primary attachment to the labour market on every day of the year. KAS is an average calculation of the population's primary attachment to the labour market broken down by quarters and years. If a person is employed for 91 days in a quarter of 91 days, that person counts as 1 employed. If a person is employed for 30 days, unemployed for 15 days and in education for 46 days, that person counts as 30/91 employed, 15/91 unemployed and 46/91 in education in the quarter. , Read more about statistical processing, Relevance, The quarterly labour force statistic (KAS) is primarily used to structural analysis of the labour market, because the statistic has a very detailed level of information. The statistic is therefore relevant to external as well as internal users and as foundation for analyzing the populations employment over the year. , Read more about relevance, Accuracy and reliability, KAS is an average calculation of the populations primary attachment to the labour market, and the statistic uses the Labour Market Account (LMA) as data source. KAS does not have the same uncertainties as statistics based on surveys. KAS is produced by using a wide range of data sources which are integrated, corrected, and harmonized, and can therefore measure the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, From the publication of figures for the end of November 2018 onwards, the release is carried out in two stages. In the first release, persons outside the labor force are grouped together in a single category. This publication takes place approximately 11 months after the reference point. In the second publication, which occurs approximately 15 months after the reference point, persons outside the labor force are divided into different socioeconomic groups., Read more about timeliness and punctuality, Comparability, The statistics were first published in 2018 with data for employed persons in the first to fourth quarters of 2008-2016. With the exception of a change in the occupational classification in 2010, the statistics for employed persons are comparable throughout the period 2008-2016. From 2017, in addition to persons in employment, the statistics also include the rest of the population with information about their primary attachment to the labour market. KAS is based on administrative registers with national characteristics, which makes it difficult to compare the statistics internationally. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Quarterly employed persons, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-labour-force

Documentation of statistics

Source references and use of our logo

You are free to re-use and reproduce contents from dst.dk and statbank.dk. This includes even commercial use. You should, however, always include a source accreditation to Statistics Denmark. You are, however, not allowed to use our logo., Source references, The source reference should link to the StatBank or www.dst.dk, where the user can see the data in context., Examples of correct source reference:, Dst.dk:, Source: Statistics Denmark - https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/sociale-udgifter, StatBank.dk:, Source: Statistics Denmark – StatBank.dk/folk1a (the code following StatBank.dk/ indicates the specific table from which the figures are extracted.), You are welcome to reproduce our graphic figures or make your own graphic figures on the basis of our data. Statistics Denmark must also in this context be cited as source., If you subject our data to further processing; this must be clearly stated. This can be done, e.g. by writing: ”Source” Own calculations based on data from Statistics Denmark.", Copying and use of content, The content on dst.dk and statistikbanken.dk can be freely copied and used - except for photos. An agreement with Statistics Denmark is required here - contact , presse@dst.dk, ., Press photos of Statistics Denmark's executive board may, however, be reproduced freely., Videos can only be reused in their unaltered form., Use of Statistics Denmark's logo, Statistics Denmark's logo may only be used by others than Statistics Denmark when it comes to collaborative projects such as publications where the use of the logo has been agreed., Open data,  Statistics Denmark's open data are official statistics data, which are electronically available in a way that users can apply them directly in various applications. They can be accessed either via a user interface or via an , API , against the StatBank. Data can be freely used in the development of various services, including development of apps for smartphones., All statistics on Statistikbanken.dk and the website dst.dk can be used free of charge commercially as well as non-commercially. It is, however, required to indicate the source. This corresponds to the license known as , Creative Commons, CC 4.0 BY, An overview of Statistics Denmark's open data is available at , Statbank.dk, that contains data from all statistics areas produced by Statistics Denmark. Data can be downloaded as tables, graphics, on map and in a variety of data formats or as bulk download - depending on whether the user interface or the API is used. The StatBank contains always the latest updated data. , Responsibility, Statistics Denmark shall not be financially responsible for any direct or indirect damage or loss incurred by the user, including lost profits by the user or for damage or loss incurred by any joint contractors of the user as a consequence of errors in the statistics or errors that have occurred in connection with processing of the statistics., Statistics Denmark shows links to external sources as a service. The use of these links does not imply any recommendation or support of views put forward on the websites in question., Statistics Denmark does not check the contents and availability of external websites, and we hereby disclaim any responsibility for these.,  

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