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Dansk Branchekode DB03, v1:2003

Please note, a more current version of this classification is now available. See the current version , here., Name: , DB03_V1_2003 , Description: , DB03 was the Danish nomenclature from January 1, 2003, to January 1, 2008. DB03 was replaced with DB07 January 1, 2008., Valid from: , January 1, 2003 , Valid to: , December 31, 2007 , Office: , Erhvervsindberetning og Registre , Contact: , Sarah Valentina Møller, , svm@dst.dk, , ph. +45 20 13 06 26 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Dansk Branchekode 2025 (DB25) V1:2025-, January 1, 2025, Still valid, Dansk Branchekode DB07, v3:2014-, January 1, 2014, December 31, 2024, Dansk Branchekode DB07, v2:2013, January 1, 2013, December 31, 2013, Dansk Branchekode DB07, Flet, v1:2008-2024, January 1, 2008, December 31, 2024, Dansk Branchekode DB07, v1:2008, January 1, 2008, December 31, 2012, Dansk Branchekode DB03, v1:2003, January 1, 2003, December 31, 2007, Dansk Branchekode DB93, v2:1996, January 1, 1996, December 31, 2002, Dansk Branchekode DB93, v1:1993, January 1, 1993, December 31, 1995, Danmarks Statistiks Erhvervsgrupperingskode 1977 (DSE77), v5:1989, January 1, 1989, December 31, 1992

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/db?id=1091051f-889f-422b-8338-21598fd5bf2e

Documentation of statistics: Energy consumption in manufacturing industries

Contact info, Business Dynamics, Business Statistics , Ole Olsen , +45 29 77 14 98 , OLO@dst.dk , Get documentation of statistics as pdf, Energy consumption in manufacturing industries 2024 , Previous versions , Energy consumption in manufacturing industries 2023, Energy consumption in manufacturing industries 2022, Energy Consumption 2020, Energy Consumption 2018, Energy Consumption 2016, Energy Consumption 2014, Energy Consumption 2012, Documents associated with the documentation , Oversigt over energitypers energiindhold pr. mængdeenhed (xlsx) (in Danish only), The purpose of the energy census for the manufacturing industry is to analyze volume and composition of the energy consumed by the manufacturing industry., Data on energy consumption by manufacturing industry is provided bi-annually from 1980 and latest 2018, 2020, 2022 and 2024., Statistical presentation, The energy census for the manufacturing industry covers all work places in industrial companies with at least 20 employees. That is equivalent to approximately 90 per cent of the energy consumption by manufacturing. It covers in principle the consumption of all energy sources in the production excl. external transport., Read more about statistical presentation, Statistical processing, Data is collected every two years from companies in industry and parts of the raw material extraction with at least 20 employees. The data undergoes a thorough error check, among other things to ensure correct unit statements and by comparing with the previous year. For workplaces subject to the CO2 quota scheme, the figures are compared with their reported energy consumption. The error-checked data is collected and adjusted by replacing missing information for 1-3 percent of the companies., Read more about statistical processing, Relevance, The results from the energy census are used by Statistics Denmark to compile energy balances that are used in the national accounts. , Furthermore, the parties involved in energy planning, for instance municipalities, counties, the Energy Agency and affected supply companies, need the information., A number of industrial associations, private companies and research institutes have also expressed an interest in the results. Furthermore, the energy census is used for energy statistics compiled by the International Energy Agency (IEA)., Read more about relevance, Accuracy and reliability, In general the quality of the statistics is good - especially main figures which builds on aggregates., At a more detailed level, the results are more uncertain, mainly due to measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, Results are published no later than eight months after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Data on energy consumption by manufacturing industry is provided from 1980 and the concept has almost been kept since. , Time series can be found in The Statbank for the years since 2012., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Energy consumption, . For further information, go to the , subject page, . , Customised extracts from the statistics can be ordered. Researchers and other analysts from authorized research institutions can be granted access to the underlying microdata by contacting , Research Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/energy-consumption-in-manufacturing-industries

Documentation of statistics

Documentation of statistics: Producer price index for construction of dwellings

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Producer price index for construction of dwellings 2026 , Previous versions , Producer price index for construction of dwellings 2025, Producer price index for construction of dwellings 2024, Producer price index for construction of dwellings 2023, Producer price index for construction of dwellings 2021, Producer price index for construction of dwellings 2019, Producer price index for construction of dwellings 2018, Producer price index for construction of dwellings demonstrates trends in prices at the first stage of commercial transactions for the construction of free standing one-family houses, i.e. the producer price incl. direct construction costs and profits, but excl. VAT, cost of land and other costs not directly linked to the construction. The statistic is typically used in analyses of price developments in the construction sector. It has been compiled since 2019 with indices dating back to 2015., Statistical presentation, The Producer Price Index for Construction of Dwellings is a quarterly measurement of price developments of commercial transactions related to the construction of new dwellings, i.e. the price a household or a developer pays the construction company for the construction of a dwelling. The statistic only covers construction of free standing one-family houses, and is therefore not representative of e.g. multi-family houses, terraced houses, general housing, vacation homes or commercial/industrial buildings., Read more about statistical presentation, Statistical processing, Every quarter approximately 500-1200 prices are collected from a sample of relevant type house construction companies in Denmark. Prices and addresses are merged with relevant information from the Danish Buildings and Dwellings Register (BBR) on e.g. floor area and various amenities. This information is used to calculate the price development of construction of new dwellings., Read more about statistical processing, Relevance, The Producer Price Index for Construction of Dwellings is a business cycle indicator, which is used in analyses of economic developments in Denmark. It is used in the Danish National Accounts, and is part of the framework of EU short term business statistics. Surveys of user satisfaction are not performed, but the statistics is part of Danish Statistics' expert committee for statistics on housing and civil engineering., Read more about relevance, Accuracy and reliability, The collected price observations are examined for errors both manually and by computer. The extend of different error types is therefore considered to be negligible. As the collected data originates solely from typehouse companies, the statistic is considered to be more accurate for typical housing constructions and less so for unique constructions. Also, the used hedonic statistical model does not consider the quality of applied building materials or the quality of the work carried out., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published quarterly, approx. 3-4 month after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistic has a continuous time series from 2015 until present day. The statistic follows international standards and is therefore comparable with similar statistics from other countries., Read more about comparability, Accessibility and clarity, The statistic is published quarterly in the Statbank as , Producer Price Index for Construction of Dwellings (PRIS90), and can be found at the subject page , Indices for the construction sector, . Once a year, in conjunction with the publication of 4th quarter indices (in April), the statistic is published in , News from Statistics Denmark, , which is available only in Danish under the title "Producentprisindeks for byggeri". The statistics is reported to the Danish National Archives on a yearly basis., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-price-index-for-construction-of-dwellings

Documentation of statistics

Documentation of statistics: Road Traffic Accidents

Contact info, Population and Education, Social Statistics , Jørn Korsbø Petersen , +45 20 11 68 64 , JKP@dst.dk , Get documentation of statistics as pdf, Road Traffic Accidents 2024 , Previous versions , Road Traffic Accidents 2022, Road Traffic Accidents 2021, Road Traffic Accidents 2020, Road Traffic Accidents 2019, Road Traffic Accidents 2018, Road Traffic Accidents 2017, Road Traffic Accidents 2015, Road Traffic Accidents 2014, Road Traffic Accidents 2013, The purpose of the statistics is to collect and publish information on road traffic accidents in order to create a basis of knowledge for making decisions that can reduce the number of road traffic accidents and the consequences thereof. The statistics on road traffic accidents originate from 1 January 1930. The source of the statistics has until 1 January 2003 been the temporary and final reports from the police. From this date Statistics Denmark only receives an annual extract from the Road Directory with the police's final reports. Apart from this, the most fundamental alterations that have been introduced concern the classification of accidents, the scope of the statistics and the actual reporting procedures., Until 1938, the classification of accidents was not unambiguous. From 1938 to 1966, accidents were categorized according to the main cause of the accident, which was determined by a legal judgement. From 1967 onwards, this judgement has been replaced by a classification of the accident, which is not based on the concept of blame, but on the actual description of the circumstances surrounding the accident., From 1930 to 1958, the statistics included accidents resulting in personal injury as well as damage to property. Since 1958, accidents involving only damage to property are no longer covered by the statistics, and from 1967 accidents involving only pedestrians are no longer covered either, whether the accident resulted in a casualty or not., Up until and including 1975, the police reports were sent straight to Statistics Denmark. In 1976, the reporting system was expanded, so that the highway authorities in counties and municipalities take part in the reporting by locating the accidents. As from November 1997 and up to and including April 2000, a new system of computerized reporting was gradually introduced in the police., Since 1 January 2003 the police reports have been sent to the Road Directorate from whom Statistics Denmark receives an annual extract., Statistical presentation, The statistics on road traffic accidents illustrate the extent and the nature of all accidents involving casualties, who are known by the police. The information on road traffic accidents is classified into three main groups: information about the accident, information about the element (vehicles, pedestrians and obstacles) and information about the person., Read more about statistical presentation, Statistical processing, Annual extract from the Road Directorate, Road Accident Information System with information for all accidents with injured., The data is checked for errors. Only few corrections is made. No seasonally adjustment is made., Read more about statistical processing, Relevance, National users: Ministries (primarily the Ministry of Traffic), the police districts, the highway authorities in counties and municipalities, organizations, research centers, the education system and private persons., Eurostat: The register is made anonymous and sent to Eurostat, as input for the Community Database on Accidents on the Roads in Europe (CARE)., Area of application: Local and central planning aimed at reducing road traffic accidents, education, research and public debate., Read more about relevance, Accuracy and reliability, A general problem concerning the road traffic accident statistics is that they do not include accidents involving casualties, which are not reported to the police. The severity of the accident and the mode of transport are factors, which influence whether the police are involved. Examinations - pooling with the Register of Causes of Death and with registries of casualty award visits and hospital admissions caused by road traffic accidents - have proven that almost all accidents involving deaths are reported. Accidents involving serious personal injury are more frequently reported than accidents involving only slight injuries. Furthermore, accidents involving cars are more frequently reported than accidents involving bicycles and mopeds. In average only 20 per cent of the casualties come to the knowledge of the police. Results of the pooling with registries of casualty award visits can be found in the table MOERKE in , Statbank, ., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without delay in relation to the scheduled date - ult. June after the year after., Read more about timeliness and punctuality, Comparability, These include changes in the registration of road traffic accidents resulting in inconsistencies of data as well as the introduction of new variables. Since 1958, accidents involving only damage to property have been omitted from the statistics. In January 1967, the definition of road traffic accident involving casualties was changed to include only accidents involving at least one vehicle. This leaves out accidents involving only pedestrians. From January 1967, the classification of accidents according to main and secondary causes was changed to a classification according to the accident situation, based on an objective evaluation of the course of events leading up to the accident. In January 1981, the definition of slightly injured was changed. Minor bruises, scrapes and the like are no longer considered as slight injuries. In January 1983, the structure and contents of the statistical system were changed. New parameters - e.g., cycle paths, collision point, maneuver concerning the element record, and on driving license and moped license - were introduced. From January 1997, individuals who are admitted to hospital for observation due to concussion should be registered as slightly injured in cases where the diagnosis does not turn out to be concussion of the brain., Legal changes, such as the introduction of and changes to speed limits and limits for level of alcohol in the blood, and requirements concerning the use of seat belts, helmets, child seats, lights, etc., can influence the overall development in the road traffic accident statistics., Read more about comparability, Accessibility and clarity, Statistics appear in:, News from Statistics Denmark., Annual publications: , Statistical Yearbook, Statistical 10-Year Review, and , Færdselsuheld, (Road Traffic Accidents)., Statbank, .Transport, Traffic accidents: UHELD1, UHELDK1, UHELD2, UHELDK2, UHELD3, UHELD4, UHELD5, UHELD6, UHELD7, UHELDK7, UHELD8, UHELD9, UHELD10, UHELD11, UHELD12, UHELD13, MOERKE., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/road-traffic-accidents

Documentation of statistics

Occupational grouping, v1:1980

Please note, a more current version of this classification is now available. See the current version , here., Name: , NYSTGR_V1_1980 , Description: , Occupational grouping divides the population according to their primary source of income., Valid from: , January 1, 1980 , Valid to: , December 31, 1995 , Office: , Arbejde og Indkomst , Contact: , Jarl Christian Quitzau, , jaq@dst.dk, , ph. +45 23 42 35 03 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Socio-Economic Classification (SOCIO13), v1:2014, January 1, 2014, Still valid, Socio-Economic Classification (SOCIO02), v1:2002, January 1, 2002, December 31, 2013, Statistics Denmark's Socio-Economic Classification (SOCIO), v1:1997, January 1, 1994, December 31, 2001, Occupational grouping, v1:1980, January 1, 1980, December 31, 1995

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/socio?id=29ed7497-6d96-49d1-b7eb-e83c2d04b251

Police districts in Denmark, v1:1973

Please note, a more current version of this classification is now available. See the current version , here., Name: , POLITIKREDSE_V1_1973 , Description: , Description only in Danish., Valid from: , January 1, 1973 , Valid to: , December 31, 2006 , Office: , Social og Sundhed , Contact: , Iben Birgitte Pedersen, , ipe@dst.dk, , ph. +45 23 60 37 11 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Police districts in Denmark, v1:2007, January 1, 2007, Still valid, Police districts in Denmark, v1:1973, January 1, 1973, December 31, 2006

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/politikredse?id=880d042f-92f7-44a0-93be-0e1fadce93d2

Documentation of statistics: Highest Education Attained

Contact info, Population and Education, Social Statistics , Lars Peter Smed Christensen , +45 20 42 35 51 , LPC@dst.dk , Get documentation of statistics as pdf, Highest Education Attained 2025 , Previous versions , Highest Education Attained 2024, Highest Education Attained 2023, Highest Education Attained 2022, Highest Education Attained 2021, Highest Education Attained 2020, Highest Education Attained 2019, Highest Education Attained 2018, Highest Education Attained 2017, Highest Education Attained 2016, Highest Education Attained 2015, Highest Education Attained 2014, Highest Education Attained 2013, Documents associated with the documentation , Notat: Indvandrernes medbragte uddannelse 2026 (pdf) (in Danish only), The purpose of the statistics on educational attainment is to give an overall statistical description of the educational level of the population at any given time. The primary data source to these statistics is the Student Register with data from 1970 onwards. In addition, the Qualification Register is used. Since the Student Register is the primary source for information, the Attainment Register gives nearly complete coverage from 1970 onwards. There is, however information before this time coming from The Qualification Register., Statistical presentation, The Attainment Register gathers information about the highest completed education for each single person based on the information in the Student Register and the Qualification Register. It is a longitudinal register based on an assessment of each person's education "career" and shows how the qualification career develops over time. The register is formed by interpreting the qualification career (skills in chronological order) in order to determine a change in the skill level. Once a year a status register is also produced with the population and information about education the 30. September the current year., Read more about statistical presentation, Statistical processing, The Attainment Register is a longitudinal register based on a assessment of each persons education career in The Student Register and The Qualification Register. It shows how the qualification career develop over time, and it is updated once a year. The status register is produced on the basis of the longitudinal register and contains information about the population and their highest completed education per. September 30 the given year., Read more about statistical processing, Relevance, There is a great variety of users. The information is generally used in connection with describing the population or sections hereof. The register is used in connection with status reports for other statistical fields. Data reports are thus submitted for (mainly on the population's highest level of education completed) a wide number of integration registers operated by Statistics Denmark. Furthermore, the register is frequently used in connection with external service activities order by Danish ministries, municipalities, research institutions, professional organization, private enterprises, private individuals and, not least, requests made by the news media., Read more about relevance, Accuracy and reliability, The Accuracy and reliability vary depending on the source of information. More than 80 pct. of the information comes from administrative sources, such as student systems of educational institutions, which are highly reliable. These sources have priority one when the registry is created and will be used if there is information from one of these sources. Other sources are not so closely linked to the education programs and will often be less reliable. Examples of these sources are the surveys of immigrants' education and the population and housing census in 1970, based on self-reported education. In addition, information is imputed for persons who do not respond in the study of immigrants' education. The imputed data is useful in overall statistical statements, but cannot be considered as valid information on individuals' educational attainment. , In connection with the annual reports from the education institutions there is information which also relate to previous years. These delayed notifications concern particularly the last year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 6 months after the end of the reference time. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The longitudinal register is produced once a year and the entire period is thus calculated in the same way. Based on the longitudinal register, a status register is produced with the population per. September 30 that year. In the event of significant changes in the way the longitudinal register is produced, the status registers for all years will be reproduced. It happens that an education changes level from one year to the next. Typically, this will not cause a reproduction of all the status registers and therefore affect comparability over time. , Labor force survey provide information too Eurostat about the educational attainment level and this is these figures that are used for international comparison of the attainment level., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Educational attainment, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/highest-education-attained

Documentation of statistics

Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010

Name: , DISCO_08_V1_2010 , Description: , DISCO-08 is a six-digit, five-level classification for classifying and aggregating information about job functions in statistical studies. The classification is a revised version of the 1988 occupational classification (DISCO-88) which it replaces., The classification is a tool for organizing jobs or occupational functions in clearly defined groups, in relation to the tasks performed in the job or occupation. The use of DISCO-08 makes it possible to compare people with the same job function - regardless of the employee's formal title and education., DISCO-08 is the official Danish version of the international professional classification, , International Standard Classification of Occupations (ISCO-08), , which is prepared by the International Labor Organization (ILO)., Compared to ISCO-08, Denmark has chosen to extend the classification from four to five levels, in order to meet the needs for further division of labour functions in the Danish labor market. The extension means that the labour functions of DISCO-08 - in the most detailed form - are divided into 563 groups, against ISCO-08's 439 subgroups., Valid from: , January 1, 2010 , Office: , Arbejde og Indkomst , Contact: , Sam Blanch, , slb@dst.dk, , ph. +45 23 63 60 44 , Codes and categories , Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Statistics Denmark's Classification of Occupations (DISCO-08), v1:2010, January 1, 2010, Still valid, Statistics Denmark's Classification of Occupations (DISCO-88), v1:1996, January 1, 1996, December 31, 2009

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disco

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 2025 , Previous versions , Key Figures for Municipalities Accounts 2024, 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: Holiday houses

Contact info, Short Term Statistics, Business Statistics , Karen Keller , +45 21 19 85 61 , kke@dst.dk , Get documentation of statistics as pdf, Holiday houses 2026 , Previous versions , Holiday houses 2025, Holiday dwellings 2024, Holiday houses 2022, Holiday dwellings 2020, Holiday dwellings 2019, Holiday dwellings 2018, Holiday dwellings 2017, The purpose of the statistic Holiday houses is to visualize the capacity and rental activity for Danish holiday houses through from rental agencies. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. The statistics have been compiled since 1968 in various forms. Figures for the first years are available in printed editions of the Statistical Yearbook. In its current form, the statistics are comparable since 1992. Figures on nights spend at holiday houses or holiday apartments complements other tourism statistics on nights spend e.g. hotels, camping., Statistical presentation, The statistics about holiday houses are a monthly and annual calculation of Danish holiday houses that are rented out through rental agencies. The statistics are divided into nationalities of the guests, as well as geographically by regions and parts of the country. In addition, there is an annual assessment of the capacity of vacation houses for rental. Numbers of Municipal distribution is prepared in collaboration with VisitDenmark. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected monthly for reporting that covers approx. 95 pct. of the population, to which is added an enumeration of the annual reports from the previous year, so that the entire population of holiday house rental with a minimum of 25 houses available is covered. The monthly statistics shows temporary data for the holiday house rental. When the reference year is over, the calculated imputed values are replaced with the final data for the year. The annual statistics with the final data include reporting from every holiday house rental with a minimum of 25 houses available for renting., Data for the annual statistics is collected via an upload solution for the rental agencies that only report annually or via an electronic questionnaire for the rental agencies that report monthly. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated. , Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The variables of the statistics associates more or less uncertainty. Number of contracts, number of houses available and rented house-weeks are regarded as the most certain variables. The variable Numbers of nights is regarded as more uncertain, because in some cases they are based on reported estimates. , Read more about accuracy and reliability, Timeliness and punctuality, The monthly statistics for holiday house rental is published approx. 40 days after the end of the reference month. The statistics are published without delays in relation to planned publication times. The annual statement for holiday house rental is published together with the final annual figures approx. 100 days after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics date back to 1986 and have undergone changes over time. From 1986-1990, the statistics only covered holiday house rental in the high season. From 1990, the statistics covered an operating year, i.e. early October to and including the end of September. From 1998, the annual statistics are based on the calendar year. In 2011, the overnight figures for 2010 were adjusted upwards by 647,000 as a result of revised information from some rental agencies. As a consequence, the number of overnight stays in 2010 and 2011 and onwards is not immediately comparable with the number of overnight stays in previous years. From 2012, the number of available houses for rent was removed from the monthly statistics. Instead, the figure is calculated once a year with the number of available houses for rent per year. May 1. in the reference year. , Read more about comparability, Accessibility and clarity, The statistics are published monthly and annually in , Nyt from Statistics Denmark, . In the Statistics Bank, the figures are published under the subject , Holiday houses, and , Total types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, ., If you want to combine statistics on holiday home rentals with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/holiday-houses

Documentation of statistics