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Documentation of statistics: Rent indices for housing

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

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

Documentation of statistics

Classification of education (DDU), current educations, v1:2023

Name: , DDU_UDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit education code, also known as UDD, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based on level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , 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 of education (DDU), current educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-udd

Classification of education (DDU), completed educations, v1:2023

Name: , DDU_AUDD_V1_2023 , Description: , DDU stands for Den Danske Uddannelsesklassifikation and is the Danish classification system for all educations in Denmark. Statistics Denmark operates the classification in cooperation with The Ministry of Higher Education and Science (UFM) as well as the Ministry of Children and Education (BUVM). , The classification covers both regulated and private educations and serves as a national standard for organising, describing and comparing the different possibilities for educations within Denmark’s educational system., All educations in DDU have a unique four-digit completed educations code, called AUDD-code, e.g. 4443: Miller. The education is placed in four groups in a hierarchical structure, which categorises the educations based level, differences in content and kinship:, Main area, A one-digit classification which describes the level of education at an aggregated level, Main group, A two-digit classification that represents the element of a legal or functional difference between the main areas in the education types within the same overall educational level. For example, distinctions can be made between vocational bachelors, academic bachelors and other medium cycle further educations within the main area=6,’’Medium cycle further education’’., Middle group, A three-digit classification and the first level in the classification of education where a division is made based on the content differences of the educational programs. Here, the education- and admission regulations are included., Sub group, A four-digit classification, which gives a more detailed content based division of educations within the same middle group., So far, three new statbank tables based on DDU have been published:, UDDALL10: , Educational activity by region, education (DDU), age, sex and status (2005-2022), EUD34: , Educational activity at upper secondary vocational educations by education (DDU), age, ancestry, national origin, sex, status and education part (2005-2022), KVEU20: , Participation in supplementary courses by field of education (DDU), region, age, sex, points in time and unit (2005-2022), Valid from: , December 1, 2023 , 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 of education (DDU), completed educations, v1:2023, December 1, 2023, Still valid

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/ddu-audd

Standard multipliers

The multiplier experiments are carried out by changing one or a few of the exogenous variables. Then the model is simulated to calculate the effect on the endogenous variables. There is no provision for possible ties between the exogenous variables. This means that one has to be careful when interpreting the experiments as real world economic events are rarely confined to changes in one exogenous variable., All experiments expand economic activity. In some experiments the effect is temporary and in others the effect is permanent. In general, a demand shock in ADAM like an additional public purchase of goods, affects production and employment in the short run. However, in the long run a demand shock has no effect on employment. In contrast, a supply shock such as an increase in the labor force has a permanent effect on employment. This is in line with most models of a small open economy with a fixed exchange rate and a Phillips curve., There is no monetary reaction function and there is no fiscal reaction function in ADAM, which should be taken into consideration when comparing to models for other countries. Also the specific laws and rules modelled in ADAM (e.g. regulatory mechanisms in taxes and transfers) affect the comparison with other countries., ADAM multipliers - October 2015 (preliminary version), Starting with the October 2015 version, the labour supply multiplier is also calculated with increased export price elasticity in the model., The calculations are made with the model version October 2015 using the baseline lang15., ADAM multipliers - October 2014, The calculations are made with the model version October 2014 using the baseline lang14., ADAM multipliers - June 2014, From the June 2014 version and onwards, all shocks to economic policy instruments have been scaled to represent 0.1 per cent of GDP at constant prices. For multipliers on earlier model versions, the policy shock represented 1000 mill. Dkr. at constant prices., The calculations are made with the model version June 2014 using the baseline lang14., ADAM multipliers - July 2013, The calculations are made with the model version July 2013 using the baseline lang13., ADAM multipliers - October 2012, The calculations are made with the model version October 2012 using the baseline lang13., ADAM multipliers - December 2009, From the December 2009 version and onwards, two multipliers (the public purchase multiplier and the labour supply multiplier) have also been calculated under a budget constraint to illustrate the consequences of a fiscal rule., The calculations are made with the model version December 2009 using the baseline lang11.

https://www.dst.dk/en/Statistik/ADAM/Multiplikatorer/multiplikatorer

Documentation of statistics: Danish Vessels

Contact info, Food Industries, Business Statistics , Charlotte Spliid Hansen , +45 29 41 97 76 , chh@dst.dk , Get documentation of statistics as pdf, Danish Vessels 2024 , Previous versions, Danish Vessels 2022, Danish Vessels 2020, Danish Vessels 2019, Danish Vessels 2018, Danish Vessels 2017, Danish Vessels 2016, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2015, Danish Vessels by Region, Unit, Type of Vessels, Length and Tonnage 2013, The purpose of these statistics is a description of vessels registered in Denmark as fishing vessels. Data are provided by The Danish Fisheries Agency's register., Statistical presentation, Statistics for the Danish fleet of fishing vessels are based on those vessels that are registered in The Danish Fisheries Agency as commercial fishing vessels. A registration is needed for commercial fishing., Read more about statistical presentation, Statistical processing, The administrative register for fishing vessels have records of all vessels with permission to commercial fishery. Data are reported from owners of vessels on the form from the Fisheries Agency. Data are checked for inconsistencies., Read more about statistical processing, Relevance, Landing data is used to manage fishing and quota reporting of Danish fishing etc., Read more about relevance, Accuracy and reliability, This statistics covers all Danish commercial fishery vessels. Reporting to the register is mandatory and thus the statistics covers all legally reported fishing vessels. Recreative fishery is not included. There is a close cooperation with fishermen in relation to validation of data. Annually campaigns are made regarding applying of rules and reporting valid data. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the reference period. The statistics are published without delays in relation to planned publication times., Read more about timeliness and punctuality, Comparability, On the calculated level of aggregation, there is no significant data breach., Read more about comparability, Accessibility and clarity, These statistics feature in a Danish press release , Nyt fra Danmarks Statistik, and are published in the StatBank under , Fishery and aquaculture, . For further information look at , Fiskeri, ., Read more about accessibility and clarity

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

Documentation of statistics

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

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

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

Documentation of statistics

Documentation of statistics: 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: Imprisonments

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Imprisonments 2024 , Previous versions, Imprisonments 2023, Imprisonments 2022, Imprisonments 2021, Imprisonments 2020, Imprisonments 2019, Imprisonments 2018, Imprisonments 2017, Imprisonments 2016, Imprisonments 2015, The purpose of the statistics is to analyze the number of arrests for violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on imprisonments was published for the first time for the year 2015., Statistical presentation, The statistics shed light on the number of arrests for violation of the penal code, the road traffic act and other special legislation. In the published statistics the arrests are classified into type of offence, outcome and education. Demographically the statistics are divided into age and sex., Read more about statistical presentation, Statistical processing, Data on imprisonments, which Statistics Denmark receive from the Central Criminal Register, are linked to data from Statistics Denmark's Population Register and Statistics Denmark's Educational Register. Data are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, enterprises, organisations, researchers, the press, in the public debate etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of imprisonments started/ended during the calendar year have not been registered before the data are drawn. This implies that the total number of imprisonments presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 5 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 2015, 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, In StatBank the statistics are published in the tables , STRAF70, , , STRAF71, , , STRAF72, , , STRAF73, , og , STRAF74, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality)., See more at the , Subject page, ., Taylor made statistics can be produced on the basis of data from different registers, moreover through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymised data., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Felling of Wood in the Danish Forests

Contact info, Food Industries , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Felling of Wood in the Danish Forests 2023 , Previous versions, 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 number of forestry farms by size of area, tree felling and size of the forestry area. 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 November the year after the reference year. The figures for 2023 however were first published December 13 2024., 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

Documentation of statistics: Health Insurance Statistics

Contact info, Personal Finances and Welfare, Social Statistics , Jonas Kirchheiner-Rasmussen , +45 61 50 23 80 , RAS@dst.dk , Get documentation of statistics as pdf, Health Insurance Statistics 2024 , Previous versions, Health Insurance Statistics 2023, Health Insurance Statistics 2022, Health Insurance Statistics 2021, Health Insurance Statistics 2020, Health Insurance Statistics 2019, Health Insurance Statistics 2018, Health Insurance Statistics 2017, Health Insurance Statistics 2016, Health Insurance Statistics 2015, Health Insurance Statistics 2014, Health Insurance Statistics 2013, These statistics focus on the consumption of health care services within the primary public health care sector . The statistics are based on annual extracts from LUNA, which is the IT system used by the regions to settle accounts for health services with the individual providers (e.g., physicians, dentists, etc.). The statistics have been compiled since 1986 but are comparable from 2006 onwards., Statistical presentation, The statistics cover visits to general practitioners and healthcare providers under the national health insurance. The statistics include the number of contacts, the associated fees, and the number of recipients., Read more about statistical presentation, Statistical processing, Data is received once a year from the Regions. It is assessed which services can be classified as contracts. Individuals with invalid CPR numbers are not included in the statistical tables. Corrections that cannot be associated with a registration in the respective year are deleted. Data is linked with background data from Statistics Denmark., Read more about statistical processing, Relevance, The statistics are used by a wide range of users, including public institutions, researchers, private individuals, and journalists. These users utilize the statistics for various purposes, including public planning, research, and public debate., Read more about relevance, Accuracy and reliability, The data come from administrative registers with full coverage. Each year, Statistics Denmark manually categorizes the services in the public health insurance system as contacts. This affects the calculation of the number of contacts and the number of individuals with contacts., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 5-6 months after the end of the year. The punctuality is high., Read more about timeliness and punctuality, Comparability, Sundhedsdatastyrelsen produces statistics on general practice, specialist practice, and other practices. Delimitations and definitions of contacts (or the use of services instead of contacts) can result in statistics that may not appear directly comparable. Typically, any - often minor - differences could be explained by methodology and delimitation. The overall picture is clear, Read more about comparability, Accessibility and clarity, Nyt fra Danmarks Statistik and , Statbank Denmark, Annual publications (selected sections): Statistical Ten-Year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-insurance-statistics

Documentation of statistics