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Documentation of statistics: Convictions

Contact info, Population and Education, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Convictions 2024 , Previous versions, Convictions 2023, Convictions 2022, Convictions 2021, Convictions 2020, Convictions 2019, Convictions 2018, Convictions 2017, Convictions 2016, Convictions 2015, Convictions 2014, Convictions 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Domme (docx), Engelsk_Voldtægtsforbrydelser_Afgjorte biforhold (docx), The purpose of the statistics is to analyse the number of convictions for criminal offences in connection with offences against the penal code, the road traffic act and other special laws. The statistics on convictions for criminal offences date back to 1832, but are in its present form comparable from 1980 and onwards., Statistical presentation, The statistics shed light on the number of convictions for violation of the penal code, the road traffic act and other special legislation as well as the length of imprisonments. Convictions consist of imprisonments, fines, withdrawals and also acquittals. The statistics are divided after type of offence, type of conviction, sex, age, municipalities and regions., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Criminal Register - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant decisions are deleted. Based on the reported data the length of unsuspended and suspended sentences are calculated., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the http://www.statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The reliability of the statistics on convicted criminal offences is considered to be good. The data come from a single administrative register and Statistics Denmark receives a single total extract annually., The statistics include all convictions registered in the central criminal register at the time the extract is done, typically about February 1st following the relevant year. A number of convictions made during the year will happen not to be registered at that time. That implies that the total number of convictions presumably is under-estimated., The statistics is only published as final figures., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the year. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1979, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. , Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark, . In StatBank the statistics are published under the subject , Convictions, . Besides this the statistics form part of Statistical Ten-Year Review and the publication , Kriminalitet (Criminality), (danish only). At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

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, 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: Eggs Production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Eggs Production 2025 , Previous versions, Eggs Production 2024, Eggs Production 2023, Eggs Production 2022, Eggs Production 2021, Eggs Production 2020, Eggs Production 2019, Eggs Production 2018, Eggs Production 2017, Eggs Production 2016, Eggs Production 2015, Eggs Production 2014, The purpose of the statistics on egg production is to describe the quantity and value of eggs produced in Denmark. The statistics on eggs have a long history and date back to the 20th century. Since 1955, the statistics have been compiled on the same basis as is used today. From 1996 and onwards, the production of consumer eggs divided into production forms: i.e. eggs from caged hens, barn eggs, free-range eggs and organic eggs. , Statistical presentation, The statistics for eggs production are a quarterly and yearly measurement of the total production of eggs for human consumption and hatching eggs in Denmark. The total production of eggs includes sales to authorized packing companies and estimates for the producers' consumption of own eggs and their direct sales to consumers. The total production of eggs to authorized egg packaging centers is subdivided into the following production types: Cage eggs, barn eggs, free range eggs and organic eggs. In addition, ungraded eggs sold (barn door sales) and used on agricultural holdings are estimated. , Read more about statistical presentation, Statistical processing, Data is collected quarterly from the egg packers on the sale of weighed eggs for consumption by types of eggs. It is a random sample that covers over 90 per cent. of the total eggs weighed. The reported data is searched for errors, after which the searched data are added to the total quantities of eggs. Every month information about hatching eggs is collected from the hatcheries. Data comes from administrative records. The data received is checked for completeness and consistency as well as consistency with previous periods., Read more about statistical processing, Relevance, It is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts., Read more about relevance, Accuracy and reliability, Data on the eggs weighed in the packing centers has a high quality, as it is mandatory for egg producers to report this data with the Danish Veterinary and Food Administration. The same applies to the number of hatching eggs where it is compulsory for them to be registered in the Ministry of Food., The estimation of eggs for own consumption and sales directly to consumers is estimated. This consumption is set at 12 million kg annually and is separated separately in the Statbank. , Read more about accuracy and reliability, Timeliness and punctuality, The figures for quarters are usually published approx. 2 months after the end of the quarter. In recent years there has been trouble publishing numbers to the pre-announced time, since data has first been available approx. 2 months after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the 20th century but are in their present form comparable from 1997 onwards. Most European countries compile statistics on egg production and the statics are therefore comparable to statistics from other countries within the EU. Data enter into the Economic Accounts for Agriculture, which also enter into the National Account., Read more about comparability, Accessibility and clarity, In StatBank, figures are published under the topic of , Livestock production, Read more about accessibility and clarity

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

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2017

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2017 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2017 , Valid to: , January 31, 2018 , Office: , Population and education , Contact: , NHD , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, Still valid, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=2137a1e5-1599-4268-88c0-41b9e3be9c84

Classification on education (DISCED-15), current educations, v1:2024

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2024 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2024 , Valid to: , January 31, 2025 , Office: , Population and Education , Contact: , Martin Herskind, , hrs@dst.dk, , ph. +45 21 34 03 31 , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, Still valid, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=6b014347-433d-4528-a3b3-5152c5593315

Documentation of statistics: Archives

Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Archives 2024 , Previous versions, Archives 2023, Archives 2022, Archives 2021, Archives 2020, Archives 2019, Archives 2018, Archives 2017, Archives 2016, Archives 2015, Archives 2014, Archives 2013, The purpose of the statistics is to provide a comprehensive overview of the Danish archives. Initially, only the activities of the National Archives were included. However, from 2017, the statistics have been augmented by data on the activities of town and local archives. Time series concerning the National Archives dating back to 1980 can be found in the Statistical Yearbook., Statistical presentation, The statistics contain data on the Danish archives' conventional collections' size and the accession of records, number of visitors in the reading rooms and number of queries via letters or email. Additionally, manpower is listed by the number of full-time employees, distributed by regular employees, voluntary employees and subsidized employees. For the national archives, the electronic collections' size and homepage visits are also included., Read more about statistical presentation, Statistical processing, Data is collected from a spreadsheet with data on individual archives sent from the National Archives. Data validation is performed by comparing values with previous years' data collection for individual archives as well as on an aggregated level. Data from the other archives is reported by ODA and SLA thorough SLA in spreadsheets with data from individual archives. Double entries are deleted and missing or obviously false values are imputed from previous reports., Read more about statistical processing, Relevance, The statistics is developed in cooperation with the Ministry of Culture and may be used for a broad overview of Danish archives’ level of activities and staffing. The statistics are assumed to meet the needs of several user groups as to a comprehensive an accessible account of Danish archives., Read more about relevance, Accuracy and reliability, Data for the National Archives / Government Archives are drawn directly from their operating systems for inventory of their own activities. On the other hand, the City and Local Archives are based on reports from many and very small entities, which in many cases are run by volunteers, not professionals., Read more about accuracy and reliability, Timeliness and punctuality, Given a reporting and processing period of approximately four and a half months, the annual statistics are expected to be available in May. The statistics are expected to be published without delay., Read more about timeliness and punctuality, Comparability, In its current form, the statistics are comparable from 2007 onwards for the National Archives, and from 2011 onwards also for town and local archives. The time series are comparable without data breaks from these years, although only from 2011 for National Archives' electronic records. Older figures for the National Archives are available in the Statistical Yearbook back to 1980. There are no directly comparable international statistics in this area., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Archives, . The figures feature in a yearly Danish publication on , Culture in Denmark, . For more information, see the subject page on , Archives, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Transport of goods by road

Contact info, Short Term Statistics , Peter Ottosen , +45 30 42 91 91 , POT@dst.dk , Get documentation of statistics as pdf, Transport of goods by road 2023 Quarter 4 , Previous versions, Transport of goods by road 2022 Quarter 3, Transport of goods by road 2019 Quarter 4, Transport by Road by Danish Vehicles 2018 Quarter 4, Transport by Road by Danish Vehicles 2017 Quarter 4, Transport by Road by Danish Vehicles 2017 Quarter 3, Transport by Road by Danish Vehicles 2017 Quarter 2, Transport by Road by Danish Vehicles 2016 Quarter 2, Transport by Road by Danish Vehicles 2015 Quarter 4, Transport by Road by Danish Vehicles 2015 Quarter 3, Transport by Road by Danish Vehicles 2014 Quarter 3, The purpose of the statistics on goods transport by road by Danish vehicles is to monitor the vehicle-kilometer, tones-kilometer and transported goods by national and international freight., Before 4th quarter of 2009 the statistics were compiled separately in national transport (within Denmark) and international transport (part or all of the journeys done outside Denmark). Since 4th quarter 2009 national and international transport has been joined in one common statistics with one data collecting., Statistical presentation, The statistics cover transport with goods by Danish registered goods road vehicles on a quarterly basis., The main variables are data on the vehicle, vehicle-kilometers, place of loading and unloading (by provinces), weight of goods, type of goods, kilometers driven, tonnes-kilometer and empty journeys., Read more about statistical presentation, Statistical processing, Data are collected from a sample of road goods vehicles using the Danish register of motor vehicles as sample frame. Annually, approximately 8,000 vehicles are sampled., The collected data are validated with respect to the correctness of reported data and data consistency., Read more about statistical processing, Relevance, The statistics are used widely by business associations, news media, consultancies and ministries., Read more about relevance, Accuracy and reliability, The uncertainty in the statistics are considerable, especially in subdivisions and international journeys. The results may be biased due to false reports of stand stills, i.e. the vehicle is falsely reported not to perform transport in the surveyed week., Statistics are not revised significantly after the first, preliminary figures., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 78 days after the reference quarter without delays compared to the announced time., Read more about timeliness and punctuality, Comparability, Eurostat publishes EU and EFTA member states compilation of road freight statistics. These statistics are compiled base don common EU-legislation and guidelines., The present time series has been compiled in its present form since 4th quarter 2009. Before this time national and international transport were compiled in separate statistics., Read more about comparability, Accessibility and clarity, The statistics are published quarterly in Nyt fra Danmarks Statistik and all data are available online in http://www.Statbank.dk., Selected tables are published in Statistical 10-year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-of-goods-by-road

Documentation of statistics

Classification on education (DISCED-15), current educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_UDD_HOVED_V1_2020 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2020 , Valid to: , January 31, 2021 , Office: , Population and Education , Contact: , NHD , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification on education (DISCED-15), current educations, v1:2025, February 1, 2025, Still valid, Classification on education (DISCED-15), current educations, v1:2024, February 1, 2024, January 31, 2025, Classification on education (DISCED-15), current educations, v1:2023, February 1, 2023, January 31, 2024, Classification on education (DISCED-15), current educations, v1:2022, February 1, 2022, January 31, 2023, Classification on education (DISCED-15), current educations, v1:2021, February 1, 2021, January 31, 2022, Classification on education (DISCED-15), current educations, v1:2020, February 1, 2020, January 31, 2021, Classification on education (DISCED-15), current educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), current educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), current educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-udd?id=7d657cf8-f8b7-4093-bc82-a11e18d2972a

Documentation of statistics: Development in Rents (housing)

Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is 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 Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative 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). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, 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 (only approx. 85,000 for 1. quarter 2022) 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 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

Documentation of statistics

Documentation of statistics: Hospitalization

Contact info, Personal Finances and Welfare, Social Statistics , Line Neerup Handlos , +45 26 64 03 00 , lha@dst.dk , Get documentation of statistics as pdf, Hospitalization 2024 , Previous versions, Hospitalization 2023, Hospitalization 2022, Hospitalization 2021, Hospitalization 2019, Hospitalization 2018, Hospitalisation 2017, Hospitalization 2016, Hospitalization 2015, Hospitalization 2014, Hospitalization 2013, The purpose of the Hospital Utilisation Statistics is to shed light on the connection between hospitals stays and social and demographic conditions. The statistics have been compiled since 1990, but are comparable in their current form only from 2017 onwards., Statistical presentation, The statistics are an annual inventory of stays at public and private somatic and psychiatric hospital wards within one calendar year. The statistics show how hospital stays vary with demographic and social factors, such as residence, sex, age, educational level, labour market affiliation and relatives. The statistics are published in News from Statistics Denmark and in the StatBank., Read more about statistical presentation, Statistical processing, The statistics are based on data retrieved from the National Patient Registry, which is shared with Statistics Denmark by the Danish Health Data Authority. Background data from Statistics Denmark are linked to the registry, and summaries and counts are produced — for example, the number of hospital stays and patients in public and private somatic and psychiatric hospital departments during the calendar year., Read more about statistical processing, Relevance, Public and private stakeholders, as well as the general population, can use the statistics to extract data on the population’s hospital utilisation for various analyses, research, public debate, etc. The statistics make it possible to produce figures for specific diagnosis groups and to link information on hospital utilisation with sociodemographic factors such as place of residence, education, labour market attachment, and origin. This is made possible by linking data from the National Patient Register with population register data from Statistics Denmark., Read more about relevance, Accuracy and reliability, The National Patient Register is validated by the Danish Health Data Agency and the accuracy of the register data must be considered to be high because the registration has a long tradition and a high priority for administrative purposes. Accordingly, the overall accuracy of the Hospital Utilisation Statistics is high. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published within approximately nine months after the end of the reference period., Read more about timeliness and punctuality, Comparability, The statistics have been developed since 1990, but are only comparable in their current form from 2017 onwards., Eurostat and the OECD make comparable statistics in this field. There are a number of organizational and institutional conditions that we must keep in mind when comparing countries. , Read more about comparability, Accessibility and clarity, The statistics are released in the newsletter Nyt from Statistics Denmark (in Danish only) and the Statbank, Statbank tables on hospitalisation utilisation (https://www.Statbank.dk/20050). Statistical Yearbook and Statistical Ten-Year Review contain selected sections about hospitalisation rates. For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics