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Classification on education (DISCED-15), current educations, v1:2025

Name: , DISCED15_UDD_HOVED_V1_2025 , 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, 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

Documentation of statistics: Business and Management Consultancy Activities

Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Business and Management Consultancy Activities 2022 , Previous versions, Business and Management Consultancy Activities 2020, Business and Management Consultancy Activities 2018, Business and Management Consultancy Activities 2016, Business and Management Consultancy Activities 2014, Business and Management Consultancy Activities 2012, The purpose of the statistics is to provide information about the activities in the sector Business and management consultancy activities and thereby improve the knowledge of the sector. Moreover, the purpose is to improve the information in the national accounts statistics regarding the service sector, and finally it contributes to the continuing maintenance of activity codes in the Central Business Register. The statistics carries out every two years. It is a sampling and questionnaire-based statistics. The statistics is a part of EU Structural Business Statistics (SBS). The statistics was carried out for the first time for the year 2005., Statistical presentation, The statistics provides information on the distribution of total turnover (and export) on products and services in the sector Business and management consultancy activities. Furthermore the statistics provides information on the turnover and export divided by clients and residence of client (resident or Non-resident intra-EU or Non-resident extra-EU)., Read more about statistical presentation, Statistical processing, Data are collected by web from 385 enterprises for the sector , Business and Management Consultancy Activities, . In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, Overall, the uncertainty of the level of the total turnover is estimated below 1 per cent. The uncertainty varies widely between services and is significantly higher than the uncertainty of the total turnover. For example the service "Consulting in finance (except corporate tax)" has a sampling uncertainty of 21 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published every second year and approximately 10 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. Before the survey year 2004 the sector , Business and management consultancy activities, has been studied with , Accounting, bookkeeping and auditing activities, . It can be problems in comparing figures over time. The questionnaire, the sample design and the calculation method have been adjusted a few time, latest in 2013, where data for 2012 has been backcasted using new method., Read more about comparability, Accessibility and clarity, These statistics are published in a collective Danish press release for services. The figures can be found in the StatBank under , Business and management consultancy activities, . For more information go to the subject page for the , Service sector, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-and-management-consultancy-activities

Documentation of statistics

Documentation of statistics: Housing benefits

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing benefits 2024 , Previous versions, Housing benefits 2023, Housing benefits 2022, Housing benefits 2021, Housing benefits 2020, Housing benefits 2019, Housing benefits 2018, Housing benefits 2017, Housing benefits 2016, Housing benefits 2015, Housing benefits 2014, Housing benefits 2013, Documents associated with the documentation, Social tryghed i de nordiske lande (pdf) (in Danish only), Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published three 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, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., 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 , Housing benefits, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/housing-benefits

Documentation of statistics

Documentation of statistics: Sports clubs and sporting facilities

Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Sports clubs and sporting facilities 2025 , Previous versions, Sports clubs and sporting facilities 2024, Sports clubs and sporting facilities 2023, Sports clubs and sporting facilities 2022, Sports clubs and sporting facilities 2021, Sports infrastructure and resources 2020, Sports infrastructure and resources 2019, Sports infrastructure and resources 2018, Sports infrastructure and resources 2017, The purpose of these statistics is to illustrate the physical and organizational structures of sports in Denmark, as well as memberships under the various sports federations. The statistics have been established since 2017 and are comparable throughout the period., Statistical presentation, These statistics is an annual estimate of the number of associations, number of members and sports facilities in Denmark. These statistic are allocated by organization, facility type and geographical by municipality. , Read more about statistical presentation, Statistical processing, Facilities are compiled per October 1st annually from the Danish Sports Facility Database. The database is a co-operation between the Danish Institute for Sports Studies and the Danish Foundation for Culture and Sports Facilities. The number of sports associations and members are reported annually by DIF, which collects data about sports associations and members from administrative sources., Data processing in Statistics Denmark includes coding of data, tabulation and control of detailed register extracts to the level of publication., Read more about statistical processing, Relevance, Users are Ministries, Agencies and various interest groups. The statistics are developed in cooperation with the Ministry of Culture and a project group comprising representatives of the national sports associations, researchers and other resource persons in this area. The statistics may serve to qualify public debate on sports and cultural policies., Read more about relevance, Accuracy and reliability, The statistics do not take into account missing reports to resp. the Central Association Register or the Facility Database. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of a new sports facility. However, the statistics are based on known authoritative sources and databases regarding the sports organizations' membership and facility numbers., Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately four months after the end of the reference period. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, No comparison with other countries are made. Selected results may be compared to other presentations of the original sources, e.g. those made by the Central Registry of Sports Associations and the Danish Sports Facility Database., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports clubs and sporting facilities, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-clubs-and-sporting-facilities

Documentation of statistics

Documentation of statistics: Parental leave benefits

Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , AOM@dst.dk , Get documentation of statistics as pdf, Parental leave benefits 2024 , Previous versions, Parental leave benefits 2023, Parental leave benefits 2022, Parental leave benefits 2021, Parental leave benefits 2020, Benefits in connection with childbirth 2019, The statistics Parental leave benefits in connection with childbirth shed light on the use of the Maternity Act, including equality between mothers and fathers. The statistics have been compiled since 1995, but in 2017 changed data source. Since 2017, data from ATP / Udbetaling Danmark's IT system for the administration of payment of parental benefits in connection with birth, adoption, child illness etc., Statistical presentation, Childbirth allowance annually calculate a parent's year's use of the rights the Maternity Act gives them, and the distribution of parental leave between the father and mother, as well as the number of persons, and days on benefits. Furthermore, the statistics provide the data basis for calculating amounts paid out in connection with childbirth. , Read more about statistical presentation, Statistical processing, The data basis of the statistics is based on a total extraction from 13 central tables in the database for ATP/Udbetaling Danmark's administrative IT system, UDK-Barsel, and a delta extraction from a 14th table, which is very large. Selected variables from the 14 tables are merged into a single table that constitutes a longitudinal register, the Barselsdagpenge Register, with a well-defined record structure. The Barselsstatistik Register is formed by combining the Barselsdagpenge Register with an extract from the Population Register and other Danish Statistics registers., Read more about statistical processing, Relevance, The maternity and paternity leave part of the statistic is used by ministries for reasons of gender equality policy and of the unions and the employers' organizations in connection with collective bargaining agreements. The statistics are included as an important data element concerning analyzes of the productivity of the Danish workforce (economic model calculations), the labor market accounts, the statistics statistics on Public dependents and the absence statistics, Read more about relevance, Accuracy and reliability, The statistics summarize the reports of birth or adoption that have triggered the payment of due to maternity leave. The expectation is that all cases are reported. However, there are a number of cases that will only be reported long after the end of the year to which the case relates, why the last year is not fully updated. In order to get a picture of a parent's year's use of the maternity law, it has been necessary to link several registers and set up an algorithm for calculating the parents' entitlement. There is a risk of programming errors here, just as the algorithm rules are a choice., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published annually three months after the reference year in March-April. March-April is chosen as the compromise of current interest and waiting for the last reports of the year to appear. At publishing time the newest data will be less than three months old. , Read more about timeliness and punctuality, Comparability, The statistics are influenced by local Danish legislation, which makes comparison with similar statistics from other countries difficult. In addition, maternity leave can be calculated in 18 different ways, which is why it requires a good knowledge of the documentation for countries' calculation methods before comparing their figures. At the moment, the statistics cover data for the years 2015-2023, where no data breach has been detected, with the exception that the 1st quarter of 2015 is under-updated, which gives a minor data breach for total counts., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release, at the same time as tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Parental leave benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/parental-leave-benefits

Documentation of statistics

Documentation of statistics: National Accounts: Employment and Compensation of Employees

Contact info, National Accounts, Climate and Environment, Economic Statistics , Martin Brandstrup , +45 23 80 57 50 , BRN@dst.dk , Get documentation of statistics as pdf, National Accounts Employment and Compensation of Employees 2024 , Previous versions, Employment and Compensation of Employees in National Accounts 2023, Employment and Compensation of Employees in National Accounts 2022, Employment and Compensation of Employees in the National Accounts 2019, Employment, Compensation of Employees and Hours Worked 2015, Employment, Compensation of Employees and Hours Worked 2013, Employment, Compensation of Employees and Hours Worked 2014, Documents associated with the documentation, Overgangstabel mellem ATR og NR (pdf) (in Danish only), Employment and wages in national accounts shed light on labor market developments in a way that makes it possible to compare labor market developments with developments in, for example, GDP, production, and value added, as measured in national accounts., Statistical presentation, For many analytical purposes it is useful to include information on labour inputs in production. In such cases, definitions of labour inputs must be consistent with the concepts used in national accounts. Labour inputs in production are shown by employment (measured by the number of persons employed) and hours worked., Read more about statistical presentation, Statistical processing, The primary statistical basis for compiling employment, compensation of employees and hours worked in Denmark's national accounts is the Working Time Accounts (WTA), which integrates the existing labour market statistics., In selected areas, alternative sources are applied in order to obtain consistency with the remaining national accounts, and supplementary sources are utilized in order to fulfill the obligations of ESA2010., Read more about statistical processing, Relevance, As fundamental data for everyone dealing with socioeconomic conditions like economic ministries, organizations, the press, the financial sector, larger companies, students and researchers. Quarterly national accounts are used as the basis for analyzing the economic development. National accounts continuously evaluate feedback from users via national and international forums., Read more about relevance, Accuracy and reliability, The uncertainty in national accounts figures is closely linked to the reliability of the data sources. Figures are primarily based on processed statistics derived from administrative registers. These data are compiled and processed within a consistent framework, making the estimates relatively reliable especially for the final structural years. However, minor adjustments are made during the data processing – for instance, to account for the shadow economy and unpaid work. These components are inherently more uncertain, as they are more difficult to measure accurately., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly national accounts are published first time 50 days after the end of the quarter and in a revised form 90 days after the end of the quarter. The quarterly sector accounts are published 90 days after the end of the quarter. The statistics are published according to schedule. The statistics are published according to schedule., Read more about timeliness and punctuality, Comparability, It is a fundamental that the national accounts to the largest possible extent are comparable over time. This means e.g. that new sources always have to be adapted to the concepts of the national accounts, and that changes of existing sources cannot be seen directly as changes of variables and concepts in the national accounts. The quarterly national accounts are consistent with the annual national accounts. Internationally there is a high degree of comparability with other countries because its compiled in accordance with the definitions in the European System of National Accounts ESA2010., Read more about comparability, Accessibility and clarity, These statistics are published 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 , National accounts by industry, and , Complete national accounts, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/national-accounts--employment-and-compensation-of-employees

Documentation of statistics

Documentation of statistics: Labour Costs for Corporations and Organizations

Contact info, Labour Market, Social Statistics , Nete Nielsen , +45 40 10 48 87 , NDN@dst.dk , Get documentation of statistics as pdf, Labour Costs for Corporations and Organizations 2024 , Previous versions, Labour Costs for Corporations and Organizations 2023, Labour Costs for Corporations and Organizations 2022, Labour Costs for Corporations and Organisations 2021, Labour Costs for Corporations and Organizations 2020, Labour Costs for Corporations and Organizations 2019, Labour Costs for Corporations and Organizations 2018, Labour Costs for Corporations and Organizations 2017, Labour Costs for Corporations and Organizations 2016, Labour Costs for Corporations and Organizations 2015, Labour Costs for Corporations and Organizations 2014, Labour Costs for Corporations and Organizations 2013, The purpose of the statistics of total labour costs for corporations and organizations is to monitor trends and the level of the total labour costs broken down by industry, occupation and main components. The statistics on total labour costs are published once every year and are used to compare the total labour costs across industries and occupations., Statistical presentation, The labour costs for the private sector is published for 9 of the main class of industries in addition to 9 different types of occupation. Data on earnings are obtained from the annual structure of earnings survey for the private sector, which is based on a full-scale survey comprising business enterprises with more than 10 full-time employees, while other labour costs are based on a special sample survey for enterprises with 10 or more employees, also including apprentices and employees under the age 18. The labour costs comprise each employee's total earnings in connection with his/her job and other labour costs that are not considered to be an income for an employee., Read more about statistical presentation, Statistical processing, Data concerning the employees' earnings and wage are collected for each individual employee, while data on the other costs of the enterprise is collected at the level of the enterprise. Other labour costs are distributed on to the employees on the basis of a distribution formed by regulation and logical reasoning. The total labour costs per employee is calculated as the sum of all wages and the sum of other labour costs divided by the number of employees., Read more about statistical processing, Relevance, The labour costs are used by enterprises to compare costs associated with having people employed, with the costs of other enterprises with similar type of employees. The comparison is often done within a certain branch of economic activity or for a certain type of work. In addition, the statistics can be used to compare labour costs across EU-member countries. , Read more about relevance, Accuracy and reliability, The statistics are based on information about both earnings and other labor costs. Earnings account for the vast majority of total labor costs. The other costs mainly include mandatory contributions. Data is collected from a sample of companies with more than nine employees, and almost all submissions are included in the final statistics, which are only published with final figures, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published once every year around august. There are normally no delays in publishing the statistics., Read more about timeliness and punctuality, Comparability, Due to changes in the compilation method, comparisons with statistics prior to 2014 are not possible. Owing to the fact that labour costs since 2002 are distributed per employee and not per enterprise as previously done, comparisons with statistics compiled before 2002 is not possible. Also, the statistics on labour costs for 1997-2001 are only to a limited extent comparable to those before 1997, which has to do with the application of a new method starting from 1997., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the StatBank under the subject , Labour costs, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-costs-for-corporations-and-organizations

Documentation of statistics

Documentation of statistics: Children and young persons placed outside own home

Contact info, Personal Finances and Welfare, Social Statistics , Siri Dencker , +45 21 45 34 92 , SEN@dst.dk , Get documentation of statistics as pdf, Children and young persons placed outside own home 2025 , Previous versions, Children and young persons placed outside own home 2024, Children and young persons placed outside own home 2023, Children and young persons placed outside own home 2022, Children and young adults in out-of-home care 2021, Children and young persons placed outside own home 2020, Children and young persons placed outside own home 2019, Children and young persons placed outside own home 2018, The statistics shed light on the activities of municipal authorities regarding placements outside the home., The statistics are used to account for the scope of placements of children and young people outside their own homes. The statistics are comparable from 2011 onwards., Statistical presentation, Starting from the autumn 2025 release, the statistics will be published twice a year — as of 30 June and 31 December. The publication as of 30 June will include data on municipal placements and residential care, presented by the number of placed children and young people. The annual publication as of 31 December will include data on municipal placements and residential care, presented by both the number of placed children and young people and the number of initiated placements and residential care arrangements. The statistics are broken down by region/municipality, type of measure, type of placement, reason for placement, age, and sex., The statistics are published in the StatBank and in NYT from Statistics Denmark., Read more about statistical presentation, Statistical processing, Data for these statistics are continually collected from the administrative municipalities. The collected data is then subjected to a meticulous validation process in cooperation with the municipalities. All of the municipalities receive feedback sheets, representing the scope and nature of the reported data, which need to be approved by the municipalities. Data is subsequently gathered in an incident register which forms the basis for a creation of a progress register and a status/stock register., Read more about statistical processing, Relevance, The statistics are used by municipalities, provinces, ministries, the media, researchers, private individuals and organizations. The statistics are used for public planning and administration, research, public debate and education., Read more about relevance, Accuracy and reliability, Data is reported from the municipalities' administrative systems, which are used for case processing. There may be errors or omissions in the reports, or reports may be missing altogether. The municipalities approve an annual status prior to publication of the statistics. In this context, municipalities are requested to correct any errors and deficiencies., Changes in placements are generally underestimated because the changes are only indirectly approved by the municipalities based on the reported placement status., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 6 months after the end of the reference period. The statistics are published without delay according to the scheduled release date. , Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2011 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release, , Nyt fra Danmarks Statistik, . The figures are also published in Statbank Denmark in , Disadvantaged children and young people, Further information can be found at the webpage of the statistics , Udsatte børn og unge, or by contacting Statistics Denmark directly., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/children-and-young-persons-placed-outside-own-home

Documentation of statistics

Documentation of statistics: Ownership of agricultural land in Denmark

Contact info, Food Industries, Business Statistics , Karsten Larsen , +45 21 29 55 76 , kkl@dst.dk , Get documentation of statistics as pdf, Ownership of agricultural land in Denmark 2024 , Previous versions, Ownership of agricultural land in Denmark 2020, The purpose of the statistics Ownership of agricultural land is to show how the Danish agricultural land is distributed by nationality of the owners. , Statistical presentation, The statistics show on an annual basis the number of owners and how the ownership of Danish agricultural land is distributed by the nationalities of the owners, regions, type of owner, gender, age and size., Read more about statistical presentation, Statistical processing, The IACS register (Integrated Agricultural Control System) The General Land Register is merged with the Owner Register. For personal identification numbers, citizenship is found via the Personal Register. For business ownership, the CVR is used for real and legal owners. If there are only legal owners, data from Eurostat's group register is supplemented, whereby the owner's nationality can be determined. For foreign owners, the country of residence is used as the country code. The owners can be both private individuals and companies., Read more about statistical processing, Relevance, The statistics meet a need, particularly from the Ministry of Food and Agriculture, to know the extent of Danish agricultural land in foreign ownership. The statistics are also expected to be of interest to political parties, the industry and the public in general., Read more about relevance, Accuracy and reliability, The statistics cover all agricultural land in Denmark for which crop subsidies have been applied for. Very little agricultural land is cultivated in Denmark for which area support is not applied for. The source data for the statistics are obtained from the General Agricultural Register (GLR), which is also used as a source in the Agricultural and Horticultural Census, and covers virtually all agricultural land in Denmark, and is considered a reliable source. The cadastral register overlaid on the applied plots of land is considered to be of high quality. However, the comparison of field maps and the cadastre gives rise to some choices of cadastres/plots for the statistics. For ownership by persons, citizenship is considered to be of very high quality. Information on ownership from the CVR when it is persons or real owners is considered to be of good quality. Supplement with data from Eurostat's group register are made., Read more about accuracy and reliability, Timeliness and punctuality, The statistics will be published 4-5 months from the reference time December 31. , Read more about timeliness and punctuality, Comparability, The statistics are comparable with the farm structure survey, but the figures for the agricultural area are not exactly identical in the two statistics. This is due to fact that the statistics include all land cultivated by farmers applying for crop subsidies whereas the farm structure survey as main rule only include farm of at least 5,0 hectares. The units in the two statistics are not the same. The statistics on ownership of agricultural land includes the landowners which could be farmers men not necessarily are., Read more about comparability, Accessibility and clarity, These statistics are published in Statbank Denmark and the News letter "Nyt fra Danmarks Statistik" (in Danish only),, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ownership-of-agricultural-land-in-denmark

Documentation of statistics

Documentation of statistics: Cost index for refuse collection, sludge removal and freight transport by road

Contact info, Prices and Consumption, Economic Statistics , Peter Fink-Jensen , +45 21 34 76 92 , PFJ@dst.dk , Get documentation of statistics as pdf, Cost index for refuse collection, sludge removal and freight transport by road 2025 , Previous versions, Cost index for refuse collection, sludge removal and freight transport by road 2024, Cost index for refuse collection, sludge removal and freight transport by road 2022, Cost Indices for Refuse Collection and Slurry Pump 2021, Cost Indices for Refuse Collection and Slurry Pump 2020, Cost Indices for Refuse Collection and Slurry Pump 2019, Cost Indices for Refuse Collection and Slurry Pump 2018, Cost Indices for Refuse Collection and Slurry Pump 2017, Cost Indices for Refuse Collection and Slurry Pump 2016, Cost Indices for Refuse Collection and Slurry Pump 2015, Cost Indices for Refuse Collection and Slurry Pump 2014, Documents associated with the documentation, Vægtgrundlag, Omkostningsindeks for dagrenovation, slamsugning og lastvognskørsel (pdf) (in Danish only), The purpose of these indices is to show trends in prices for refuse collection, slurry pump and freight transport by road in Denmark. The indices are made at the request of Dansk Transport og Logistik (DTL - Danske Vognmænd) and are, among others, used for price regulation of contracts. The indices have been published since 1997., Statistical presentation, The indices are produced on a quarterly basis and separately for refuse collection, slurry pump and freight transport by road. They are calculated separately for each industry. In addition, separate indices for each industry excl. the cost of fuel, are also published., Read more about statistical presentation, Statistical processing, The Cost index for refuse collection, slurry pump and freight transport by road includes costs of labor, repairs and maintenance, fuel, tires, administration, insurance and capital costs. These are weighed together to form the total indices. The weights reflect the cost shares of the total costs of performing refuse collection, slurry pump and freight transport by road. For indices excl. fuel, the fuel category has been removed from calculations., Read more about statistical processing, Relevance, The purpose of the indices is to reflect the development in the costs of refuse collection, slurry pump and freight transport by road., Read more about relevance, Accuracy and reliability, Index weights are established in cooperation with Dansk Transport og Logistik (the Danish Transport and Logistics Association) and Dansk Industri (Confederation of Danish Industry). The indices are deemed representative for refuse collection, slurry pump and freight transport by road performed in Denmark., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly at the beginning of February, May, August and November. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The cost indices for refuse collection and slurry pump are comparable over time from 1997 until today. The cost index for freight transport by road is comparable over time from 2022 until today., There are no international statistics which are directly comparable to the Danish indices., Read more about comparability, Accessibility and clarity, The statistic is published in the Statbank as , BYG91, . See more on the statistic's , subject page, A subscription service is available, where overviews of the statistic are send quarterly by email. The subscription is only available in Danish and can be ordered , here, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cost-index-for-refuse-collection--sludge-removal-and-freight-transport-by-road

Documentation of statistics