Search result

Statistics based on distances or neighbourhoods

Define your own statistical areas, In addition to statistics on administrative units such as regions and municipalities, smaller units such as postcode districts, parishes or school districts, you can also get data for analyses of geographical areas that you define yourself., Statistics on an area within a certain range from a point, A typical example of such an area is an area whithiin a certain range from a point on the map. The "point" can be a shop, a hotel, a railway station or a public institution and the periphery you define as a distance, for example, in kilometres from this point., You can define the distance in three ways: , as the crow flies, along established roads, as driving time by car along established roads., Specify the statistical data you want, Once you have defined the geographical area, you can add the statistical data you want. For example, it can be as simple as the number of people in the area in a certain age group, or the number of households with children under the age of six., Find inspiration to define your geographical area, You can also define a geographical area based on other criteria, such as areas bounded by physical barriers and lines. These can be areas of the cities or the open land you demarcate by using city limits, field boundaries, edges of forests, bridges, railroads, dams, highways, roads, streets, streams, lakes and coastlines - in short, everything you perceive as a transition from one area to another., You can also deifne an area on geometric shapes, such as circles, triangles, squares, and many-sided polygons where you define the centre or the corners by geographical coordinates, buildings, addresses or the like., There are many ways to delimit an area – the only limit is your imagination! The only requirement is that the size of an area must comply with the rules of discretion, ie. we cannot disclose statistics that make it possible to identify any individual or any individual company., Prices, The price depends on both the number of areas and the variables for which you want statistical data. Please contact DST Consulting for a specific quotation., Contact information, DST Consulting, tel. +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics for the Danish national grid, Statistics based on roads and streets,  

https://www.dst.dk/en/TilSalg/produkter/geodata/oplands-ogafstandsanalyser

Prices and products

Subscription, ADAM is offered on a yearly subscription basis in two types of agreements. , "Subscription for structural analysis" is yearly subscription including a smooth outline scenario of the danish economy covering a long range of years (at least 20 years). The subscriber receives the scenario and the data bank once a year. , "Subscription for business surveillance" is similar, but in addition the subscribtion includes reference scenarios covering 7-8 years ahead, by and large equivalent to the most recent forecast from the ministries of economic affairs and finance. The subscriber receives such scenarios twice a year, and updated versions of the data bank three times a year. For an additional fee, the subscriber can require the detailed scenario from the publication Finansredegorelsen from the ministry of finance. , In addition, the subscriptions include documentation, pre- and postmodels for more detailed purposes, working papers and to a certain extend help getting started with ADAM. In addition, new subscriptions include a free introductory course., It is also possible to subscribe only to the ADAM databank. This comes in a subscription with 3 data banks yearly. The banks can also be bought separately., Introductory course, ADAM is a large model, and optimal use of ADAM requires that the user has an economic background and is willing to set aside sufficient amount of time to get aquainted with the structure and function of the model. , The modelling unit offers introductory courses in the use of ADAM and, in general, support for the use of ADAM. Courses are offered 1-3 times per year. , Services , The modelling unit offers to carry out computations on the basis of any customers specifications, provided that the computations can be carried out on proper professional grounds., Price list (Danish only), In addition a fee covering time spent, copying, fax, disk etc. according to the general prices of Statistics Denmark. , Services: , According to , general prices per man-hour of Statistics Denmark (Danish only), . , If ADAM is used to carry out the services in question an extra fee can be added. , For more information contact, Economic models,  

https://www.dst.dk/en/TilSalg/ADAM/Priser

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: 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: Adult Education Survey (AES)

Contact info, Population and Education, Social Statistics , Christian Johansen , +45 21 16 49 48 , CVJ@dst.dk , Get documentation of statistics as pdf, Adult Education Survey (AES) 2022 , Previous versions, Adult Education Survey (AES) 2016, Adult Education Survey (AES) 2011, The purpose of Adult Education Survey is to give a description of the adult populations participation in life long learning. The survey has been carried out in all EU-countries after the same guidelines. This makes the Adult Education Survey the best Danish survey for international comparisons on participation in the life long learning., Statistical presentation, The AES (Adult Education Survey) describes the adult Danish population's (aged 25-64 years) participation in life long learning activities, both in the formal and non-formal education system. Respondents answered among other things about the content of their ongoing education activities, the costs involved, and the volume of the education. , In the survey for 2022 the age group has been expanded from 25-64 to 18-69. , Read more about statistical presentation, Statistical processing, Data comes from interviews conducted in 2022 and 2023. 2.448interviews with persons in the age group 18-69 years have been conducted., The sample has been drawn from the Population register. The net sample size is 9058 persons., Read more about statistical processing, Relevance, AES is mainly used by public authorities and international organizations and it s the major detailed survey giving details about adults participation in life long learning activities on an international bases., Read more about relevance, Accuracy and reliability, The AES is in general a reliable survey. However, when analyzing data based on breakdown of several variables the basic number of respondents can be very small which increases the uncertainty considerably. Results from the AES survey can be used for labor market analysis, in research projects and in the public debate., Read more about accuracy and reliability, Timeliness and punctuality, The AES is in general published according to agreed timing., Read more about timeliness and punctuality, Comparability, Data from the EU countries are published by Eurostat. , Read more about comparability, Accessibility and clarity, The Danish AES is published in the news release of NYT fra Danmarks Statistik (News from Statistics Denmark) and in the StatBank Denmark. The main results of AES will are published by Eurostat in a common European report., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/adult-education-survey--aes-

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: 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: 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

Documentation of statistics: Book Production

Contact info, Science, Technology and Culture , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Book Production 2023 , Previous versions, Book Production 2022, Book Production 2021, Book Production 2020, Book Production 2018, Book Production 2017, Book Production 2016, Book Production 2015, Book Production 2014, The purpose of the statistics is to shed light on the development of book publishing in Denmark. The statistics show the development in respectively the number of books published (the number of unique publications) and book titles. For example, it is possible to follow the trend in the number of first editions of fiction e-books or new editions of commercial, physical books in the field of professional literature. The statistics contain information for 2007 and onwards., Statistical presentation, The book production statistics are an annual inventory of the number of books and book titles published. A book here is a commercial publication, written material published by public institutions or a scientific report. All figures for the past six years are preliminary and revised annually., Read more about statistical presentation, Statistical processing, The statistics are based on the national bibliographic record in the Danish Book List. The Danish Library Center delivers data to the statistics via a system-to-system solution. Data is checked for large fluctuations compared to the previous year before the preparation of tables for the statistics bank., Read more about statistical processing, Relevance, The key users are players in the book industry, the The Agency for Culture and Palaces and others interested. The statistics are used for analysis and planning in the field of literature. There is ongoing contact with The Agency for Culture and Palaces, where the quality of the statistics and user needs are assessed., Read more about relevance, Accuracy and reliability, The source of the statistics is the Danish Book List, which receives books and other material from the publishers as a result of the Danish Duty Delivery Act and therefore covers the vast majority of publications in Denmark., The figures for the past six years are preliminary. This is due to post registrations of published books. The re-adjustment of the counting year can be considerable the following year., Read more about accuracy and reliability, Timeliness and punctuality, The figures for the past six years are preliminary. The statistics are published at the beginning of October. The statistics are usually published without delay compared to the announced time., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable with previous publications on book production statistics from the Danish Library Center. There are no international guidelines for compiling book production statistics., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Literature, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/book-production

Documentation of statistics

Documentation of statistics: Felling of Wood in the Danish Forests

Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Felling of Wood in the Danish Forests 2024 , Previous versions, Felling of Wood in the Danish Forests 2023, Felling of Wood in the Danish Forests 2022, Felling of Wood in the Danish Forests 2021, Felling of Wood in the Danish Forests 2020, Felling of Wood in the Danish Forests 2019, Felling of Wood in the Danish Forests 2018, Felling of Wood in the Danish Forests 2017, Felling of Wood in the Danish Forests 2016, These statistics cover the production of wood in Danish forests and plantations. The figures are used for the calculation of the gross value added for forestry. Statistics on felling of wood in Danish forests and plantations can be traced back to 1950., Statistical presentation, The statistics are a yearly enumeration of tree felling. The tree felling is divided into tree for energy, firewood and different kinds of timber. Timber can for instance be used for production of paper and furniture. The figures are distributed geographically by regions and provinces., Read more about statistical presentation, Statistical processing, The base of the statistics is a sample survey with questionnaires. The sample is representative for regions and size groups.., The questionnaires are completed online. Before publication the answers are validated where each single questionnaire is subject to a control for reliability. , Read more about statistical processing, Relevance, There is no survey on user satisfaction but the main impression is a high degree of satisfaction, however many users would like to have figures for area with forestry by municipalities. , Read more about relevance, Accuracy and reliability, Due to a small sample of only 10 percent of the forests the sample error is higher than for similar agricultural surveys, also because a relatively big part of the felling is among small forests with a low coverage in the sample., The sample error of felling of trees s about 2 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in December the year after the reference year, for 2024 December 15 2025., Read more about timeliness and punctuality, Comparability, The survey has always had the same standard and the same target population. Prior to the 2012 survey Statistics Denmark conducted a project aiming at improving the register of forestry farms. At the same time the extrapolation was for the first time made dependent on the total area with forestry. It means that the total felling in 2012 estimated to 3.1 million m3 should be seen as reliable whereas the results recent years before 2012 most likely are underestimated by about 500.000 m3., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Forestry, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/felling-of-wood-in-the-danish-forests

Documentation of statistics