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Documentation of statistics: Aviation

Contact info, Short Term Statistics, Business Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Aviation 2025 , Previous versions, Aviation 2024, Aviation 2023, Aviation 2022, Aviation 2021, Aviation 2020, Aviation 2019, Aviation 2018, Aviation 2017, Aviation 2016, Aviation 2015, Aviation 2014, The aviation statistics sheds light on investments in the airports' infrastructure and on the development of transport of goods and passengers through Danish airports. The present aviation statistics were established in 1997. Previously aviation statistics were published only in summary form in the , Statistical Yearbook., Statistical presentation, The Aviation statistics describe annually investments in the infrastructure and quarterly and annually the development in air transport of passengers and goods through Danish airports. Statistics are compiled for domestic and international flights and subdivided into scheduled flights, non scheduled flights (charter and taxi flights) and other flights. Quarterly figures on passengers are seasonally adjusted., Read more about statistical presentation, Statistical processing, Data from the Danish Transport Authority are wholly covering the population and no imputation is made. Data on passengers are seasonally adjusted., Read more about statistical processing, Relevance, The statistics are used widely by e.g. news media, the air ports themselves, ministries, etc. and it is therefore the impression that the statistics are relevant to users., Read more about relevance, Accuracy and reliability, The aviation statistics is based on an exhaustive census, i.e. there is no sampling errors and total error in the final statistics is assessed to be very small., Minor revisions do occur after first publication but the statistics are generally correct., Read more about accuracy and reliability, Timeliness and punctuality, Statistics Denmark publishes quarterly data approximately 50 days after end of reference period., Data are always published at the scheduled and announced time of publication., Read more about timeliness and punctuality, Comparability, There is a consistent time series dating back to 1990. Data are wholly comparable with statistics from other countries within the European Statistical System, ESS., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Transport, and , Infrastructure, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/aviation

Documentation of statistics

Documentation of statistics: Childcare institutions

Contact info, Population and Education, Social Statistics , Jens Bjerre , +45 29 16 99 21 , JBE@dst.dk , Get documentation of statistics as pdf, Childcare institutions 2024 , Previous versions, Childcare institutions 2023, Childcare institutions 2022, Childcare institutions 2021, Childcare institutions 2020, Childcare institutions 2019, Childcare institutions and units 2018, These statistics cover the number of childcare institutions and units in Denmark, for children from 0 through 17. Before 2015 these figures were part of the overall childcare statistics., Statistical presentation, This survey is an annual estimate of the number of institutions and units within day care, including whether the institutions are organized by the municipality, the childcare scheme and ownership of the institution., Read more about statistical presentation, Statistical processing, The count of institutions in Statistics Denmark is continuous updated with new data from data suppliers. New information on closure - or opening of institutions is examined by Statistics Denmark before the changes are added to the count of institutions, Read more about statistical processing, Relevance, The data is collected on an agreement between Statistics Denmark, the Ministry for Children and Social Affairs and Ministry of Higher Education and Science. The count is expected to amount to an official register for institution on the day care facilities in the Ministry for Children and Social Affairs. , Read more about relevance, Accuracy and reliability, The accuracy is considered to be high, as it is used by municipalities for their financial administration, and updates in the institution registry undergo extensive error-checking., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in September of the year following the end of the reference year. The statistics are normally published without delays compared to the pre-announced release date in the release calendar., Read more about timeliness and punctuality, Comparability, There are figures for the number of childcare institutions back to the 1940s. At that time, the statistics were about institutions for preventive child care. Since 1964 the number of day-care institutions at national level is calculated. Figures from before 2004 can be found in the , Statistical Yearbook, while figures from 2004 onwards can be found in the StatBank. The compilation of institutions from 2017 has been collected through personal contact of the DST survey., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Institutions, . For more information go to the subject page on , Childcare, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/childcare-institutions

Documentation of statistics

Documentation of statistics: Accounts Statistics for Aquaculture

Contact info, Food Industries, Business Statistics , Michael Brogaard , +45 51 62 70 89 , MIB@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Aquaculture 2023 , Previous versions, Accounts Statistics for Aquaculture 2022, Accounts Statistics for Aquaculture 2021, Accounts Statistics for Aquaculture 2020, Accounts Statistics for Aquaculture 2019, Accounts Statistics for Aquaculture 2018, Accounts Statistics for Aquaculture 2017, Accounts Statistics for Aquaculture 2016, Accounts Statistics for Aquaculture 2015, Accounts Statistics for Aquaculture 2014, Accounts Statistics for Aquaculture 2013, Accounts Statistics for Aquaculture 2012, The purpose of Account statistics for aquaculture is to show the economy in the Danish aquaculture sector. The statistics is used to monitor the economic development and to compare economic key figures from different farm types. The statistics was first made in 2004 and is comparable in its current form since 2017., Statistical presentation, The Account statistics for aquaculture is an annual estimation of the production value and costs, results, assets and liabilities and investments of the aquaculture sector in Denmark., Read more about statistical presentation, Statistical processing, Data for this statistics are collected yearly from the aquaculture companies' chartered accountants using an electronic accounting form. The collected accounts (the sample) are thoroughly tested, and possible errors corrected in cooperation with the reporting accountant. When all accounts are approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample., Read more about statistical processing, Relevance, The statistics is used by the fish farmers and their organization, Danish Aquaculture, as well as authorities and legislators. The statistics is used in economic models and as a basis for yearly economic statistical reports for aquaculture to EU (DG Mare)., Read more about relevance, Accuracy and reliability, The statistic is based on a sample, hence the results are uncertain. The aim is to include the biggest companies in the sample, and that 75 per cent of gross revenue is covered by the sample. There are no planned revisions of the statistics., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the reference year., Read more about timeliness and punctuality, Comparability, The statistics is comparable from 2004 to present. All EU member states submit statistics to the , Directorate-General for Maritime Affairs and Fisheries, . Hence, it's possible to make comparisons within the EU. The Danish Fisheries Agency publish a Structure and production statistics for the profession., Read more about comparability, Accessibility and clarity, The statistics is published yearly in a Danish press release and in the StatBank under , Aquaculture, . For more information please see the , subject page, for these statistics., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-aquaculture

Documentation of statistics

Documentation of statistics: Government budget allocations for research and development

Contact info, Government Finances, Economic Statistics , Helene Gjermansen , +45 24 76 70 09 , HGJ@dst.dk , Get documentation of statistics as pdf, Government budget allocations for research and development 2025 , Previous versions, Government budget allocations for research and development 2024, Government budget allocations for research and development 2023, Government budget allocations for research and development 2022, Government budget allocations for research and development 2021, Government budget allocations for research and development 2020, Government budget allocations for research and development 2019, Government budget allocations for research and development 2018, Government Budget on Appropriations and Outlays to Research and Development 2017, Government Budget on Appropriations and Outlays to Research and Development 2016, Government Budget on Appropriations and Outlays to Research and Development 2013, The statistic give information on the general government budget for research and development from 2001 onwards. The Ministry of Finance is in charge of the bigger part of the data collection., Statistical presentation, The purpose of the GBARD-statistics is to inform on the public funds available for research and development. The information includes information on the amounts available from the different parts of General Government., Read more about statistical presentation, Statistical processing, Data are received and published once a year. The primary data source is the State Budget for Research and Development, though Statistics Denmark gathers data from additional sources as well. The Ministry of Finance ensures quality control of reported data based on the state budget. In a few cases Statistics Denmark examines further the relevance of reported data., Read more about statistical processing, Relevance, Reporting of the data to the EU is regulated by order., Read more about relevance, Accuracy and reliability, Quality is expected to be good as data is reported directly from the ministries responsible for the accounts with research and development and as the Ministry of Finance validates the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic comprises data on the state budget which are published in the beginning of the reference year, and data on other parts of the GBARD-statistic which are published half a year later., The statistic is usually published without delays., Read more about timeliness and punctuality, Comparability, The statistic is comparable with GBARD-statistics for other countries., Read more about comparability, Accessibility and clarity, Data are available in Statbank in the tables: FOUBUD, FOUBUD1, FOUBUD4, FOUBUD5. Data is not published in a dedicated publication. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-budget-allocations-for-research-and-development

Documentation of statistics

Documentation of statistics: Interest and Share Price Indices

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

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

Documentation of statistics

Documentation of statistics: Census of Buildings

Contact info, Short Term Statistics , Paul Lubson , +45 23 45 47 32 , PAL@dst.dk , Get documentation of statistics as pdf, Census of Buildings 2022 , Previous versions, Census of Buildings 2019, Census of Buildings, 1 January 2018, Census of Buildings, 1 January 2017, Census of Buildings, 1 January 2016, Census of Buildings, 1 January 2015, Census of Buildings, 1 January 2014, The statistics yearly describe the stock of buildings in Denmark. The Census of buildings - together with the Census of Housing - is since 1981 and based on administrative registers a continuing of the questionnaire based Census on Population and Housing., Statistical presentation, The statistics are compiled from a full-scale census, 1st January. Before 2011 are small buildings (e.g. garages, carports, outhouses) excluded from the stock. The statistics describe the stock of buildings analyzed by type of use, size, ownership, heating installation, roof covering and external cladding materials, water and effluent installations, and year of construction. The statistic is used by municipals, ministries, the press, companies and private people., Read more about statistical presentation, Statistical processing, The statistic covers all buildings in the Registry of buildings and Dwellings. Data is validated at the building level. The aggregated numbers are checked against earlier years., Read more about statistical processing, Relevance, The statistic is used by municipalities, counties, government departments, private and semi- private organizations and firms, the news media and private persons. It is used for public and private planning, education and public debate., Read more about relevance, Accuracy and reliability, The quality of the statistic is believed to be high. A survey of the overall accuracy of the Central Register of Buildings and Dwellings has never been conducted. But the degree of unknown variables is small., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published medio July, normally on time., Read more about timeliness and punctuality, Comparability, With some exceptions the data are consistent back to January 1, 1986(see comparability over time). A complete comparability with the statistic of constructions is, for several reasons, not possible., Read more about comparability, Accessibility and clarity, The newest numbers are published at [STATBANK] https://www.dst.dk/en/Statistik/emner/byggeri-og-anlaeg/bygninger.aspx). The numbers are also used in The Statistical Yearbook and in the Statistical Ten-Year Review., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Quarterly Business Demography (QBD)

Contact info, Short Term Statistics, Business Statistics , Simon Bolding Halifax , +45 51 29 21 91 , SBH@dst.dk , Get documentation of statistics as pdf, Quarterly Business Demography (QBD) 2021 , Previous versions, The purpose of the Quarterly Business Demography is to form an overall and internationally comparable perspective of business development by the numbers of new enterprises and by the number of bankruptcies. The statistics are published for the first time in 2021., Statistical presentation, The statistic Quarterly Business Demography contain the number of new registered enterprises as well as the number of bankruptcies by selected NACE-sections.. The statistic is published quarterly. , Read more about statistical presentation, Statistical processing, Data for these statistics are collected from Statistics Denmark's Business Register (SBR) which again are based on information from the Central Business Register (CBR) and tax information from the Administrative Business Register (ABR). The sources are updated on a daily and weekly basis. The data are checked for duplicate deposits., Read more about statistical processing, Relevance, The statistics has been published as experimental statistics in the period March 2020 to May 2021 and there has been great interest in the figures. , Read more about relevance, Accuracy and reliability, The statistics are a good indication of the number of newly registered enterprises starting up. The definition means that almost 60% of the newly registered companies in the Central Business Register (CBR) are deselected in the statistics as the definition chosen which means newly registered companies must be liable for VAT, payroll or income tax for employees.. , Read more about accuracy and reliability, Timeliness and punctuality, The first dissemination of the statistics comes 90 days after the end of the quarter. Later disseminations will come approximately 30 days after the end of the quarter. The statistics have been disseminated as announced., Read more about timeliness and punctuality, Comparability, The statistics are made by all EU countries as well as EFTA and candidate countries. There is a difference in the countries' access to information and the delimitation we have made in Denmark will only be able to be implemented by a few countries., In addition to these statistics, there are the statistics Business Demography, which also shed light on the annual approach in companies. This statistic uses many more background variables and overall will always have a lower number of new businesses., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in the StatBank under the subject Business sector in general, under Enterprise development., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-business-demography--qbd-

Documentation of statistics

Documentation of statistics: Family benefits and child supplements

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Family benefits and child supplements 2024 , Previous versions, Family benefits and child supplements 2023, Family benefits and child supplements 2022, Family benefits and child supplements 2021, Family benefits and child supplements 2020, Family benefits and child supplements 2019, Family benefits and child supplements 2018, Family benefits and child supplements 2017, Family benefits and child supplements 2016, Family benefits and child supplements 2015, Family benefits and child supplements 2014, Family benefits and child supplements 2013, The purpose of the statistics about family benefits and child supplements is to illustrate the number of recipients of family benefits and child supplements plus the payments and the number of children they receive payments for. The statistics of family benefits has been published from the tax year 1957/58, but the current format dates back to 2017., Statistical presentation, The statistics describe the number of people receiving child and youth benefit and child supplements and the benefit amount. Since 2017, the statistics are based on the paid amounts each quarter as opposed for the granted amount for a set period. The statistics are published in the Statbank. The statistics are aggregated i regards to benefit type and geographical area., Read more about statistical presentation, Statistical processing, The statistics is collected directly from the IT systems paying out the family benefits and child supplements at ATP via NetCompany. Data is validated by checking for duplicate amongst others. Data are aggregated by benefit or allowance type and geographical area., Read more about statistical processing, Relevance, Users: Ministries, agencies, the Law Model, Local Government Denmark, municipalities and researchers. The statistics is used internally in Statistics Denmark. The statistics is not presented at any committees for users., Read more about relevance, Accuracy and reliability, The statistics are based on a register that covers all recipients of family benefits and child supplements, as well as the children the benefits are provided for. The data also includes correction due to errors in previous payments., Read more about accuracy and reliability, Timeliness and punctuality, Normally the statistics is published 4 months after the end of the 4th quarter. , Read more about timeliness and punctuality, Comparability, In it's current form data is fully comparable from 2017 Q1. Prior to 2017 adjustments made to payouts due to errors in preceding quarters was not included in the data., Read more about comparability, Accessibility and clarity, The statistics is published in the StatBank under the subject , Family benefits and child supplements, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/family-benefits-and-child-supplements

Documentation of statistics

Analyses: The global organisation of industrial groups has an impact on the measurement of Danish production and income

The way in which Danish enterprises choose to organise their production and sales in the global economy impacts whether it is reflected as domestic production and value added (GDP) or only as income (GNI) in the national accounts. When Danish enterprises sell products abroad, the activities are included in Danish GDP, whereas income based on sales via subsidiaries abroad is only included in GNI. In this way, the choice of sales channel impacts the statistics on Danish production and income., This analysis describes the global set-up of Danish industrial groups and their impact on the Danish economy. Focus is on the close correlation between Danish exports and in-come from subsidiaries abroad. The analysis is an extension of a Statistics Denmark analysis from 2016 dealing with goods exports outside Denmark by Danish manufactu¬ring enterprises. Income data from the central bank of Denmark, Nationalbanken, has allowed us to further document the importance of the industrial groups to the Danish economy., Main conclusions:, The industrial groups are important to the Danish economy; they export goods and services produced in Denmark or abroad and receive income from subsidiaries abroad. , In 2016, Danish industrial groups’ sale abroad of goods not crossing the Danish border accounted for almost a third of their total sale of goods abroad of DKK 524 billion., The income from subsidiaries of DKK 42.1 billion accounts for approximately one third of total earnings from Danish industrial groups’ manufacturing activities abroad. These ear-nings could have been counted as exports had the group chosen a different role for the production taking place in subsidiaries abroad., In 2016, the industrial groups’ activities abroad accounted for approximately 6 per cent of the Danish gross national income (GNI) and approximately 4 per cent of the gross domestic product (GDP).,  , This is a translation of an analysis previously published in Danish 1 October 2018. See the analysis , here., Get as pdf, The global organisation of industrial groups has an impact on the measurement of Danish production and income, Colophone, The global organisation of industrial groups has an impact on the measurement of Danish production and income, Subject group: Economy, Released: 27 May 2019 08:00, No. 2019:7, ISSN pdf: 2446-0354, Contact:, Mads Møller Liedig, Telephone: +45 40 12 97 72

Analysis

Analyses: Large language models and the Danish labour market

Generative artificial intelligence (AI) tools such as large language models are spreading rapidly. The most prominent example is ChatGPT, which gathered more than 100 million active users within two months. This type of generative AI has the potential to change the way people work, creating opportunities for innovation and productivity gains. However, the opportunities and challenges will most likely be unequally distributed across the workforce., This analysis explores the unequal economic impact of large language models (LLMs) on the Danish Labour Market. The analysis uses the so-called AI Occupational Exposure (AIOE) scores from a study of the American labour market and merges these scores with administrative data from Statistics Denmark. The AIOE scores reflect the relatedness between AI applications and human abilities connected to different occupations. Thus, the scores express potential economic impact of AI applications across occupations through either labour-augmenting or labour-displacing effects., Main conclusions:, Occupations dominated by cognitive routine tasks have the highest potential to change through large language models. , Legal Professionals, is the occupation with the highest LLM score. The occupation with the lowest score is , Painters, building structure cleaners & related trades worker, ., Economic activities influenced by cognitive abilities have higher LLM scores than activities dominated by physical tasks. The activity with the highest LLM score is , Higher Education, . The activity with the lowest score is , Building completion and finishing, ., Employed females altogether have more potential to apply large language models than employed males. However, within , Human Health & Social Work activities, women have a slightly lower LLM score than males., Employees with high personal yearly income generally have more potential to use and take advantage of large language models than employees with lower income.,  , The analysis is available in Danish here: , Store sprogmodeller og det danske arbejdsmarked,   , Get as pdf, Large language models and the Danish labour market, Colophone, Large language models and the Danish labour market, Subject group: Labour and income, Released: 8 February 2024 08:00, No. 2024:2, ISSN pdf: 2446-0354, Contact:

Analysis