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Documentation of statistics: Employment Statistics for Graduates within Arts and Culture

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Employment Statistics for Graduates within Arts and Culture 2019 , Previous versions, Employment Statistics for Graduates within Arts and Culture 2018, Employment Statistics for Graduates within Arts and Culture 2017, Employment Statistics for Graduates within Arts and Culture 2016, These statistics estimate how graduates from artistic and cultural education, subsequently fare in the labor market, for up to 10 years after graduation. These statistics are comparable from 2010 onwards., Statistical presentation, The statistics are an annual statement of key figures on unemployment rates for graduates, the employment rate, the number of employed and the average incomes, for persons who have completed artistic and cultural education. The statistics are grouped by educational institution, education, gender, income type, unemployment type, sector, and geographical by place of work., Read more about statistical presentation, Statistical processing, Information about graduates within arts and culture is reported to Statistics Denmark by the institutions of higher education within arts and culture. The information is complemented with information from the populations statistics, the educational statistics, the register-based labour force statistics , the register-based unemployment statistics and the income statistic., Read more about statistical processing, Relevance, The statistics was originally made as a tailor made solution for the Rectors' Conference. When the responsibility for the cultural statistics where handed over to statistics Denmark, Statistics Denmark also got the responsibility for the employment statistics for graduates within arts and culture., Read more about relevance, Accuracy and reliability, It is not possible to calculate the margins of statistical error. The statistics are compiled for the whole population and, therefore, there is no sample error., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 3-5 months after the latest input data source has been published. The latest data source is the register-based labour force statistics which is published 14-16 after the reference point in time., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2007 to 2010 and again in the current time series from 2010 onwards. Data breaches in 2010 are due to a number of mergers of educational institutions in the years from 2009 to 2011. There are no international standards for graduates from artistic and cultural educations' subsequent connection to the labor market. The statistics are therefore not directly comparable with statements from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Culture, education and employment, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employment-statistics-for-graduates-within-arts-and-culture

Documentation of statistics

Documentation of statistics: Danish Ships

Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Danish Ships 2024 , Previous versions, Danish Ships 2022, Danish Ships 2020, Danish Ships 2019, Danish Ships January 1, 2018, Danish Ships 1. January 2017, The purpose of the statistics "Maritime Transport over Danish Ports" is to describe the structure and development of the volume of the Danish fleet. These statistics are used to analyse the shipping industry in Denmark. Compiled since 1990, the data has been presented in a consistent format, allowing for comparability from 1993 onwards., Statistical presentation, The statistics provide an annual account of ships registered in the Danish Maritime Register or the Danish International Ships Register. They detail the number of ships and ship tonnage, categorized by factors such as ship type, size, and age. , Danish-owned ships registered in foreign ship registers are not included in these calculations., Read more about statistical presentation, Statistical processing, An extract from the Danish Ship Register (DAS), the Danish International Ship Register (DIS) and the Vessel Register (FTJ) with the stock per 31 December is received annually from The Danish Maritime Authority., Read more about statistical processing, Relevance, The statistics describe the fleet of Danish registered ships, aiming to provide background information for analysing the shipping industry in Denmark. , The users of the statistics includes ministries, relevant organisations and companies., Read more about relevance, Accuracy and reliability, The ship registers, that are used, fully covers in relation to describe vessels sailing under the Danish flag., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published approx. 275 days after the reference time (1st of January). Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The compilation is consistent over time and comparable to similar compilations for other countries., Read more about comparability, Accessibility and clarity, The statistics are published on the online data bank under the topic , Mean of transport, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-ships

Documentation of statistics

Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

Documentation of statistics

Documentation of statistics: Rent indices for housing

Contact info, Prices and Consumption, Economic Statistics. , Martin Sædholm Nielsen , +45 24 49 72 81 , mne@dst.dk , Get documentation of statistics as pdf, Rent indices for housing 2021 , Previous versions, The purpose of the statistic Rent indices for housing is to measure the development in rent (housing). The statistic covers the years from 2021. , Statistical presentation, The statistic is a quarterly statistics who show the development in rents before rent subsidies. , Read more about statistical presentation, Statistical processing, The Rent indices for housing are based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from The National Bulding Fund (Landsbyggefonden) and thus covers the entire population of social rental housing. Privately owned rented dwellings is covered by a sample of approx. 110.000 dwellings out of a population of approx. 500.000 privately owned rented dwellings. Cooperative dwellings is covered by a sample of approx. 600 dwellings. Social rental housing and private rental housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent. , Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent indices for housing, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty. , Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. The statistics are published without delay in relation to the scheduled date. , Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 2021. The statistics are not necessarily comparable with other statistics within the same area due to different methods. , Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , rent and rental vacancy, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-housing

Documentation of statistics

Documentation of statistics: Protected buildings and ancient monuments

Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Protected buildings and ancient monuments 2024 , Previous versions, Protected buildings and ancient monuments 2022, Protected buildings and ancient monuments 2021, Protected Buildings and Ancient Monuments 2020, Protected Buildings and Ancient Monuments 2019, Protected Buildings and Ancient Monuments 2018, Protected Buildings and Ancient Monuments 2017, Protected Buildings and Ancient Monuments 2016, Protected Buildings and Ancient Monuments 2015, Protected Buildings and Ancient Monuments 2014, The purpose of the statistics is to provide a comprehensive overview of the Danish protected buildings and ancient monuments, including new protections and de-protections. Data for protected buildings are from 2012 and data for protected ancient monuments are from 2010. Buildings in Denmark have been protected since 1918. , Statistical presentation, The statistics show the number of protected buildings and ancient monuments, including distribution of protected buildings by provinces of the country and construction year in 50 year ranges. The statistics also show the number of new protections and de-protections., 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 users include municipalities, organizations and students. There is not carried out a user satisfaction survey to the statistics., Read more about relevance, Accuracy and reliability, The registration in the register of both listed buildings and ancient monuments is done manually and with a certain delay in relation to the decision of conservation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually in mid-February and are usually published in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, There are no reservations regarding comparability over time., Read more about comparability, Accessibility and clarity, The statistics are published in the (StatBank Denmark) (http://www.Statbank.dk)., Tables: KFRED1: Protected buildings by region, type of building and year of construction. KFRED2: Protected ancient monuments by region and farm category. KFRED3: New protections and de-protections by unit and region., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/protected-buildings-and-ancient-monuments

Documentation of statistics

Documentation of statistics: Key Figures for Municipalities Accounts

Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 40 22 58 23 , JFJ@dst.dk , Get documentation of statistics as pdf, Key Figures for Municipalities Accounts 2024 , Previous versions, Key Figures for Municipalities Accounts 2023, Key Figures for Municipalities Accounts 2022, Key Figures for Municipalities Accounts 2021, Key Figures for Municipalities Accounts 2020, Key Figures for Municipalities Accounts 2019, Key Figures for Municipalities Accounts 2018, Key Figures for Municipalities Accounts 2017, Key Figures for Municipalities Accounts 2016, Indicators for Municipal Annual Accounts 2015, The purpose of these statistics is to present selected key figures from the annual accounts of the municipalities, which is of particular interest, in a way that makes it easy to compare across municipalities. Key figures are comparable since 2008. , The figures should be interpreted with caution due to varying accounting methods across municipalities as well as over time. Also, adjustments are made continuously to the municipal accounting system., Statistical presentation, These statistics contain 12 annual key indicators where accounting figures are compared with population figures in the individual municipalities. All key indicators are measured in DKK, both in current and fixed prices for all 98 Danish municipalities., Read more about statistical presentation, Statistical processing, The key figures are prepared by applying tables from the database StatBank Denmark and from figures for price- and pay adjustments from the Ministry for the Interior and Housing., Read more about statistical processing, Relevance, The key figures open up the possibility of making comparisons across municipalities. Figures must be interpreted with caution due to both changes in the compilation methods and in the municipal accounting system. Further information with regard to the figures underlying the key figures, including the detailed municipality accounts is available from the database StatBank Denmark. , Read more about relevance, Accuracy and reliability, Figures must be interpreted with caution due to both changes in the compilation methods and in the municipal accounting system. , Read more about accuracy and reliability, Timeliness and punctuality, The key figures are published in April., Read more about timeliness and punctuality, Comparability, Reference is made to the section on concepts and definitions with a view to assessing comparability among key figures. , Read more about comparability, Accessibility and clarity, The statistics are published in the StatBank under , Municipal accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/key-figures-for-municipalities-accounts

Documentation of statistics

Documentation of statistics: Price of North Sea oil

Contact info, Prices and Consumption, Economic Statistics , Andreas Strøander Pedersen , +45 23 25 00 78 , apd@dst.dk , Get documentation of statistics as pdf, Price of North Sea oil 2025 , Previous versions, Price of North Sea oil 2023, Price of North Sea oil 2022, These statistics show an average price for North Sea oil sold, that reflects the characteristics applied to oil production in the Danish part of the North Sea. These statistics are produced and disseminated as part of the Hydrocarbon Tax Act and were first published in 2023 with figures for 2022., Statistical presentation, These statistics provide annual figures with the yearly average of the prices of the North Sea oil sold, quoted in US dollars (USD)., Read more about statistical presentation, Statistical processing, Price data for sold North Sea oil is collected annually. Statistics Denmark validates data including checking that there is data for all trading days. Statistics Denmark then uses the published reference price (PCAAS00) as the basis for calculating the average crude oil price during the year. The calculation is made as a simple average of the daily-published reference prices., Read more about statistical processing, Relevance, The statistics are relevant to SKAT as a basis for hydrocarbon taxation, which is described in more detail in the Hydrocarbon Tax Act., Read more about relevance, Accuracy and reliability, The use of the oil price collected from S&P Global Commodity Insights, PCAAS00, as well as the calculation of the annual price as a simple average, is specifically mentioned in the comments to the Hydrocarbon Tax Act, the price's precision and representativeness for Danish North Sea oil is affected both by which fields are incorporated into the price for North Sea oil and how S&P Global Commodity Insights makes quality adjustments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 15 days after the end of the year, i.e. no later than February 15. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, These statistics will be published for the first time in 2023, and the statistics are prospectively comparable to previous years. The representativeness of the collected price data is continuously assessed by Statistics Denmark and an expert group consisting of the Nordsøfonden and the Energy Agency., Read more about comparability, Accessibility and clarity, The statistics are published annually in the statistics bank under environment and energy, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/price-of-north-sea-oil

Documentation of statistics

Contact: Short Term Statistics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Søren Kühl Andersen , +45 22 26 04 36, ska@dst.dk, Construction Statistics, Index, Danish Building and Housing Register, etc., Senior Adviser, Senior Adviser, Kasper Emil Dueholm Freiman , +45 23 45 47 32, kfr@dst.dk, Industry, Chief Adviser, Chief Adviser, Mathias Dybdahl Bluhme , +45 40 22 56 37, mdb@dst.dk, Senior Adviser, Senior Adviser, Simon Bolding Halifax , +45 51 29 21 91, sbh@dst.dk, Head of Section, Head of Section, Morten Skovrider Kollerup , +45 24 52 61 68, msl@dst.dk, Senior Head Clerk, Senior Head Clerk, Bo Eriksen , +45 61 50 41 27, bhe@dst.dk, Senior Head Clerk, Senior Head Clerk, Inger Hansen , +45 40 23 78 84, iha@dst.dk, Senior Head Clerk, Senior Head Clerk, Heidi Sørensen , +45 24 79 86 81, hsn@dst.dk, Purchases and Sales by Industry and Retail Trade Index, Chief Adviser, Chief Adviser, Lina Pedersen , +45 51 68 72 80, lip@dst.dk, Retail trade index, Chief Adviser, Chief Adviser, Nina Thøgersen , +45 21 20 32 67, nit@dst.dk, Senior Head Clerk, Senior Head Clerk, Kim Larsen , +45 81 75 12 42, kil@dst.dk, Secretary, Tourism, Senior Head Clerk, Senior Head Clerk, Majbrit Holst , +45 24 94 08 24, mbj@dst.dk, Tourism, Chief Adviser, Chief Adviser, Karen Keller , +45 21 19 85 61, kke@dst.dk, Transport and Vehicles, Chief Adviser, Chief Adviser, Peter Ottosen , +45 30 42 91 91, pot@dst.dk, Head Clerk, Head Clerk, Henriette Erichsen , +45 29 77 56 38, hee@dst.dk, Senior Head Clerk, Senior Head Clerk, Karina Moric Ingemann , +45 24 78 42 12, kam@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=08&tlfbogsort=sektion

Contact: Business Dynamics

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Martin Ausker , +45 42 16 82 16, mau@dst.dk, Accounts Statistics, Senior Adviser, Senior Adviser, Jeppe Strandgaard Herring , +45 24 44 43 06, jhr@dst.dk, Senior Adviser, Senior Adviser, Søren Østerballe , +45 23 42 32 97, srb@dst.dk, Head Clerk, Head Clerk, Iben Amalie Arce , +45 20 55 19 86, iaa@dst.dk, Head Clerk, Head Clerk, Annette Rasmussen , +45 24 87 73 22, apr@dst.dk, Senior Clerk, Senior Clerk, Tonia Shcheglova , +45 30 58 51 29, ton@dst.dk, Senior Head Clerk, Senior Head Clerk, Tanja Jørgensen , +45 24 87 75 92, tnj@dst.dk, Senior Head Clerk, Senior Head Clerk, Maiken van Hauen Nielsen , +45 21 34 91 21, mvn@dst.dk, Enterprise Statistics and Globalisation, Chief Adviser, Chief Adviser, Kalle Emil Holst Hansen , +45 21 58 48 87, khs@dst.dk, Chief Adviser, Chief Adviser, Peter Bøegh Nielsen , +45 41 10 31 41, pbn@dst.dk, Senior Adviser, Senior Adviser, Alina Grecu , +45 30 55 18 24, agc@dst.dk, Head of Section, Head of Section, Emil Tappe Bang-Mortensen , +45 24 67 85 25, ebm@dst.dk, Head of Section, Head of Section, Asbjørn Hviid Mikkelsen , +45 29 42 68 36, ahm@dst.dk, Head of Section, Head of Section, Julie Cathrine Krabek Sørensen , +45 23 66 46 60, jck@dst.dk, Senior Head Clerk, Senior Head Clerk, Kamilla Elkjær , +45 23 45 44 37, kea@dst.dk, FKV, Chief Adviser, Chief Adviser, Jon Mortensen , +45 23 69 32 37, jmo@dst.dk, Senior Adviser, Senior Adviser, Dennis Pipenbring , +45 51 49 18 45, dpi@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=11&tlfbogsort=sektion

Contact: Food Industries

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Troels Pade , +45 29 12 04 77, tpd@dst.dk, Accounts Statistics, Agriculture, Chief Adviser, Chief Adviser, Henrik Bolding Pedersen , +45 20 57 88 87, hpe@dst.dk, Senior Adviser, Senior Adviser, Charlotte Filt Slothuus , +45 24 26 05 58, cfs@dst.dk, Senior Adviser, Senior Adviser, Martin Brandt Jepsen , +45 24 99 89 11, mjs@dst.dk, Head of Section, Head of Section, Dorte Hækkerup , +45 40 35 67 73, dmh@dst.dk, Head of Section, Head of Section, Charlotte Wind von Bennigsen , +45 24 21 42 30, cwb@dst.dk, Accounts Statistics, Fisheries and Aquaculture, Chief Adviser, Chief Adviser, Charlotte Spliid Hansen , +45 29 41 97 76, chh@dst.dk, Head of Section, Head of Section, Michael Brogaard , +45 51 62 70 89, mib@dst.dk, Head of Section, Head of Section, Lisbeth Elin Lakjer Christensen , +45 21 77 74 20, lcr@dst.dk, Structure, Production and Organic production and Trade, Chief Adviser, Chief Adviser, Martin Lundø , +45 51 46 15 12, mlu@dst.dk, Senior Adviser, Senior Adviser, Mona Larsen , +45 24 81 68 47, mla@dst.dk, Head of Section, Head of Section, Mads Haaning Andersen , +45 51 85 76 27, mhg@dst.dk, Head of Section, Head of Section, Karsten Kjeld Larsen , +45 21 29 55 76, kkl@dst.dk, Head of Section, Head of Section, Simone Thun , +45 51 36 92 51, sit@dst.dk, Office Clerk, Office Clerk, Mikkel Ole Carstad , +45 23 82 03 56, mca@dst.dk, Senior Head Clerk, Senior Head Clerk, Ditte Puk Andersen , +45 40 43 41 97, dpa@dst.dk, Senior Head Clerk, Senior Head Clerk, Kurt-Kristian Bech , +45 51 16 91 99, kkb@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=03&tlfbogsort=sektion