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      Documentation of statistics: Quarterly national accounts (Discontinued)

      Contact info, National accounts, Economic Statistics , Carmela Moreno , cam@dst.dk , Get documentation of statistics as pdf, Quarterly National Accounts 2018 Quarter 4 , Previous versions, Quarterly National Accounts 2018 Quarter 3, Quarterly National Accounts 2018 Quarter 2, Quarterly National Accounts 2018 Quarter 1, Quarterly National Accounts 2017 Quarter 4, Quarterly National Accounts 2017 Quarter 3, Quarterly National Accounts 2017 Quarter 2, Quarterly National Accounts 2017 Quarter 1, Quarterly National Accounts 2016 Quarter 4, Quarterly National Accounts 2016 Quarter 3, Quarterly National Accounts 2016 Quarter 2, Quarterly National Accounts 2016 Quarter 1, Quarterly National Accounts 2015 Quarter 4, Quarterly National Accounts 2015 Quarter 3, Quarterly National Accounts 2015 Quarter 2, Quarterly National Accounts 2015 Quarter 1, Quarterly National Accounts 2014 Quarter 4, Quarterly National Accounts 2014 Quarter 3, The quarterly national accounts present an overall picture of the short-term economic development within the framework of a system of coherent definitions and classifications., Statistical presentation, The National Accounts are designed to present a complete picture of the economy. The National Accounts provide the conceptual and actual tool to bring to coherence all economic activity and development in Denmark., Read more about statistical presentation, Statistical processing, The quarterly national accounts are compiled on the basis of all relevant short-term statistics describing parts of the economy. Combining these statistics with the definitions and classifications of the national accounts and the detailed annual national accounts makes it possible to balance all the information regarding the supply and use to a complete picture of the economic activity. For more information detailed descriptions of sources and methods can be found in , Danish Quarterly National Accounts, and , Danish Sector National Accounts, ., Read more about statistical processing, Relevance, As the basic 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 quarterly national accounts are compiled using a number of primary statistics. Inaccuracy in these primary statistics as well as the adjustment of the statistics to conform to the national account framework will affect the reliability. However, the juxtaposition in the framework of the national accounts will contribute to reduce the inaccuracy., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly national accounts are published first time 60 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., Read more about timeliness and punctuality, Comparability, The time series in the quarterly national accounts are consistent with the annual national accounts., Read more about comparability, Accessibility and clarity, News from Statistics Denmark (Nyt fra Danmarks Statistik): , Kvartalvist nationalregnskab, ., Statistical News (Statistiske Efterretninger, Nationalregnskab og offentlige finanser)., The annual publication National Accounts (Nationalregnskab)., Data in , Statbank Denmark, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/quarterly-national-accounts--discontinued-

      Documentation of statistics

      Documentation of statistics: Participation at folk high schools

      Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Participation at folk high schools 2024 , Previous versions, Participation at folk high schools 2023, Participation at folk high schools 2022, Participation at folk high schools 2021, Participation at folk high schools 2020, Participation at folk high schools 2019, The statistics describes the participants at the Danish folk high schools according to age, gender, ancestry, education, income, area of residence by course length and school type. The statistics describes the students, which can be found in the statistics about supplementary courses - Folk High Schools, which gives a comprehensive description of the students participation in courses in folk high schools and free vocational schools., Statistical presentation, The statistics describes the background of the participants at Danish folk high schools. In addition the background of the participants is described in terms of age, gender, ancestry, education and income in actual number of participants as well as in full-time student equivalents. Course lengths are short, medium and long. The statistic results are presented in school years and calendar years. , Read more about statistical presentation, Statistical processing, The statistics are based on the coordination of several of Statistics Denmark's statistic registers. The participants are identified from the register of adult education and continuing training, which annually collects data from the folk high schools' administrative systems and manual reporting. From this register information about the participants course length and about the type of school. The population register provides information of age, gender, residence, ancestry and family relations. The Register of highest education provides information about education, and from the the Income Register data on income is drawn. , Read more about statistical processing, Relevance, The folk high schools are often debated in the media, but there is limited knowledge of the participants' background. The statistics shed light on the folk high school area with a focus on the participants' background in addition to the existing statistics about folk high schools, which focus on the participants' course activity. The statistics are relevant for supporting educational and cultural policy debates and can be used by individuals, journalists, authorities and interest groups, as well as the providers of the basic statistical data., Read more about relevance, Accuracy and reliability, The number of participants are derived from a total reports of the folk high schools. The primary sources of uncertainty are errors in the reports of the schools and the existence of any schools that Statistics Denmark is not aware of. When combining the student register with the other background registers some register information may be incomplete. These participants will be categorized as uninformed. As the register coverage for foreign participants is generally poorer, the proportion of uninformed will be higher for the medium and long courses. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is issued once a year, and publication is approximately 10 months after the end of collection period. In general, the statistic is published in accordance with the announced time. , Read more about timeliness and punctuality, Comparability, The statistics is comparable with Statistics Denmark's statistics on activity at folk high schools. There are also statistics on the activity at participants in Sweden and Norway. There are statistics covering activities at folk high schools back to 1901, but this statistic on the background of participants are comparable from 2016 onwards., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank Denmark under the subject , Folk high school, . For further information, go to the , subject page, ., Researchers can get access to the detailed data of the basic registers according to special agreement with Statistics Denmark. Special analyses using anonymized data from the basic registers used for this statistic can be supplied by the DST Consulting. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/participation-at-folk-high-schools

      Documentation of statistics

      Documentation of statistics: Continuing Vocational Training Survey (CVTS)

      Contact info, Population and Education, Social Statistics , Nare Hakhverdyan , NHD , NHD@dst.dk , Get documentation of statistics as pdf, Continuing Vocational Training Survey (CVTS) 2020 , Previous versions, Continuing Vocational Training Survey (CVTS) 2016, Continuing Vocational Training Survey (CVTS), The purpose of the CVTS survey has been to create a comparable European statistics on Continual Vocational Training and education of the employees in enterprises. The statistic constitutes a part of the strategic goal of long life learning., which is a central feature in EU's strategy to increase the competitiveness of European enterprises hen hence the economic growth., Statistical presentation, The data collected in the CVTS surveys (CVTS = Continual Vocational Training Survey) describes the enterprises activities in relation to continuing vocational training in the enterprises. The variables are specified in The European Parliament and Council Regulation No 1552/2005. Primarily it concerns the various types of training artivities, time usage and costs involved in the activities as well as planning aspects. In relation to CVTS2006 some variables are not included in CVTS2011. A few variables have been removed in CVTS2016 and a few has been simplified when compared to CVTS2011. Special COVID-19 questions were included in CVTS2020., Read more about statistical presentation, Statistical processing, Various procedures were conducted for data controlling and high quality. To assure consistency, answers which were not logic were checked and corrected by follow up by contact to the responding enterprises if necessary. Furthermore, an imputation on core variables was applied, the variables specified by Eurostat. A weighting procedure on 60 cells was applied (20 NACE categories and 3 size groups) in such a way that the sample was representative for the universe.., Read more about statistical processing, Relevance, The survey results are mainly of interest to persons engaged in the educational sector, educational institutions, ministries and business organizations., Read more about relevance, Accuracy and reliability, CVTS2006: Postal questionnaires supplemented with data from administrative registers. About 60 per cent of the returned questionnaires ended up being scanned and the rest were registered manually. The scanning of the questionnaire gave problems with the data quality for some questions, in particular concerning the questions on amounts of money, number of persons and hours. CVTS2011, CVTS2016 and CVTS2020: Web interviews in combination with telephone interviews supplemented with data from administrative registers. The survey questions about amounts of money, number of persons and hours etc. in particular gave problems with the data quality as these questions needed several persons to be involved., Read more about accuracy and reliability, Timeliness and punctuality, CVTS3: Published: 4th quarter 2007., CVTS4: Reference period: 2010. Published: 21st of Feburary 2014. , CVTS5: Reference period: 2015. Published: 21st of February 2019., CVTS6: Reference period: 2020. Published: 28th of June 2022., The period from the end of the reference period for CVTS until publication is mainly due to efforts carried out to increase response rate as well as data quality., Read more about timeliness and punctuality, Comparability, Eurostat publish data for the EU-member states for CVTS. The results are comparable across the member states as the same guidelines have been applied. The guidelines was specified by EU., Read more about comparability, Accessibility and clarity, News from Statistics Denmark and the Statbank., The CVTS results from all participating countries will be published by Eurostat on New Cronos statistical data base., Some data from CVTS2006, CVTS2011, CVTS2016 and CVTS2020 are available from the statbank: , CVTS - Statistikbanken, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/continuing-vocational-training-survey--cvts-

      Documentation of statistics

      Documentation of statistics: Sickness benefits

      Contact info, Labour Market, Social Statistics , Anna Skovbæk Mortensen , +45 21 77 67 54 , aom@dst.dk , Get documentation of statistics as pdf, Sickness benefits 2024 , Previous versions, The purpose of the Sickness Benefits statistics is to provide information about the costs of sickness benefits and the number of sickness benefit recipients, both in terms of the number of people affected and the number of full-time employees. The statistics have been compiled since 1995, but are in their current form comparable from the year 2020 onwards., Statistical presentation, Sickness benefit is an annual statement of the number of people, benefit days and amounts paid out in connection with illness. Furthermore, the extent of partially resumed work is calculated. The data is broken down by labour market affiliation, age, gender and geography. Furthermore, figures from the Sickness Benefit Statistics are included in the statistics Persons below the state pension age on public benefits, Labour Market Accounts and Absence, where the extent of absence due to illness is put into a larger context., Read more about statistical presentation, Statistical processing, When the data is received, all fields are checked by machine and the number of observations received matches the number of observations sent by KMD. If the data delivery cannot be approved, KMD is contacted in order to correct the delivery., Read more about statistical processing, Relevance, Sickness benefit statistics tell us how many man-years Danish society loses due to long-term illness and how long it will take the long-term sick person to return to the labour market if he or she returns., Read more about relevance, Accuracy and reliability, The statistics summarise the reports of illness that have triggered the payment of unemployment benefits. The expectation is that all sickness benefit cases with payment are reported. Therefore, the statistics can be expected to be accurate in relation to actual payments. However, some cases are not reported until long after the end of the period to which the case relates, which is why the last quarter is not fully updated. The delayed updates result in a revision the following year that is in the order of 0.5 per cent in an upward direction., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published annually at the beginning of April the year after the reference year. The statistics are usually published without delay in relation to the announced date, Read more about timeliness and punctuality, Comparability, The statistics are influenced by Danish legislation. Over the years, the period the employer must pay for in connection with illness has been increased from 14 days to 30 days, and as of December 2012, the right to receive sickness benefits on public holidays was cancelled., 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 , Sickness benefits, . For further information, gp to the , subject page, ., Read more about accessibility and clarity

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

      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

      Documentation of statistics: Sports Participation

      Contact info, Science, Technology and Culture, Business Statistics , Søren Østerballe , +45 23 42 32 97 , SRB@dst.dk , Get documentation of statistics as pdf, Sports Participation 2024 , Previous versions, Sports Participation 2023, Sports Participation 2022, Sports Participation 2021, Sports Participation 2020, Sports Participation 2019, Sports Participation 2018, Sports Participation 2017, The purpose of the statistics is to highlight sports participation and results of the population and the professional athletes in Denmark. The statistics describes sports activities, the population's sports and exercise habits, attendances to sports events and Danish sports medal winners in international competitions. The earliest data series in the statistics start from 2007. The statistics in their current form are comparable with other publications of the original sources, eg the Central Association Register, and the Sports Research Institute's surveys of Danes' sports habits., Statistical presentation, The statistics contain information on activity from the sport associations, time series with main results from surveys of the population's sports habits, spectator and number of matches for selected sports and leagues, and an overview of Danish and foreign winners of international sports medals., Read more about statistical presentation, Statistical processing, The statistics of the sports associations' members' and medals for Danish athletes' performances are received from the Central Association Register and from DIF's medal overview. Selected results from IDAN's surveys of the population's sports habits are received in the form of special extracts. Spectators for selected sports and leagues are collected from the relevant federations. Data for statistics of ranking, are collected from DIF and Gracenote., Data are validated by a comparison with previous years' results and tabulated., Read more about statistical processing, Relevance, The statistics are relevant to professionals in institutions, organizations and public authorities as the basis for, for example, forecasts, analyzes and planning purposes. In addition, several of the statistics results are relevant to interested users for the lighting of sports topics., Read more about relevance, Accuracy and reliability, The overall accuracy and reliability of the results of the members' activities of the sports organizations, international medals, ranks and attendance is considered to be high, as it is build on register information from central and authoritative sources. The statistics do not take into account missing reports to resp. the Central Association Register or the federations. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of spectators to a club game. , 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, Comparison of statistics with other countries in the area is not made. Certain results are comparable to other publications of the original sources, such as the Central Sports Association Register and results from the Sports Institute's studies of population's sports and exercise habits., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports Participation, and in the annual publication on Culture., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-participation

      Documentation of statistics

      Documentation of statistics: Crises shelters

      Contact info, Personal Finances and Welfare, Social Statistics , Silas Turner , +45 21 54 42 57 , STR@dst.dk , Get documentation of statistics as pdf, Crises shelters 2024 , Previous versions, Women's shelters 2023, Women's shelters 2022, Shelters for battered women 2021, Women's shelters 2020, Women's shelters 2019, Women's shelters 2018, Women's shelters 2017, The purpose of the statistics crisis shelters is to provide information about citizens and children brought along staying at crises shelters in accordance with section 109 in the Act on Social Services. The statistics were first compiled for 2017., Statistical presentation, These statistics are an annual calculation of the number of stays and the number of citizens and children enrolled in crisis shelters that is established and run in accordance with section 109 of the Act on Social Services. The statistics are grouped by municipality, origin, age and duration of the stay. Reporting to the statistics is mandatory by law., Read more about statistical presentation, Statistical processing, Data is received quarterly from the crisis shelters either with the help of a system-generated txt file or via a predefined spreadsheet. Upon receipt, the data sets are reviewed for formal errors, such as incorrect date formats. Next, the data goes through a validation process, after which the statistics are supplemented with background information about the citizens and any brought children from Statistics Denmark's population register., Read more about statistical processing, Relevance, Based on their data strategy for the social sector, the Ministry of Social Affairs, Housing and Senior Citizens has asked Statistics Denmark to collect data and publish statistics on stays and residents at Denmark's crisis shelters according to section 109 of the Act on Social Services. The statistics can be used to broaden the scope of the social field and is supposed to be of interest to anyone interested in social conditions and citizens in socially vulnerable positions.. In the summer of 2023, the women's shelters and other stakeholders have had the opportunity to provide feedback and input to the statistics., Read more about relevance, Accuracy and reliability, The statistics are a total count of citizens and children brought to crisis shelters. Some stays are reported anonymously for the citizen and/or children brought to shelters, which may result in missing background information. Therefore, it is not possible to determine whether citizens have been to shelters more than once. Some citizens and children are listed anonymously at one shelter and not anonymously at another. In addition, typing errors or missing dates may occur when manually entering stays. Overlapping stays may also have been reported. However, the majority of these errors are corrected before publication., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 months after the end of the reference period. , Read more about timeliness and punctuality, Comparability, In Sweden, Statistics Sweden and the National Agency for Social Affairs and Health compile national surveys on men's violence against women and violence in intimate relationships. Data is compiled from 2017. Up until the end of 2020, women on outpatient services were also included in the statistics., Read more about comparability, Accessibility and clarity, These statistics are published in [https://www.dst.dk/da/Statistik/nyheder-analyser-publ/nyt?psi=3359) In StatBank Denmark, these statistics can be found under the subject , Social conditions, . For further information, go to the , subject page, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/crises-shelters

      Documentation of statistics

      Documentation of statistics: Health among young people not in employment, education or training (NEET) (experimental statistics)

      Contact info, Personal Finances and Welfare, Social Statistics , Leo Hansen , +45 26 64 03 00 , LHA@dst.dk , Get documentation of statistics as pdf, Health among young people not in employment, education or training (NEET) (experimental statistics) 2023 , Previous versions, Health among young people not in employment, education or training (NEET) (experimental statistics) 2022, Health among young people not in employment, education or training (NEET) (experimental statistics) 2021, The purpose of Health among young people not in employment, education or training (NEET) is to shed light on hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds, distinguishing between the inactive NEETs (Not in Employment, Education or Training) and the remaining group of active young people. The statistics are used to compare the state of health among NEETs and the remaining group of active young people. These statistics have been compiled since 2019 and are in their current form comparable from 2019 and onwards., Statistical presentation, Health among young people not in employment, education or training (NEET) are a yearly measurement of hospital utilisation, consultations with physicians and purchases of prescription medicine among 16-24-year-olds stated in number and proportion of people, as well as number of contacts with the hospital system and selected health professionals/redeemed prescriptions per person. The statistics are grouped by NEET status (the NEET group vs. the remaining group of active young people), sex and by geography., Read more about statistical presentation, Statistical processing, Data for these statistics are collected yearly from the Register-Based Labour Force Statistics and the two health statistics: the Hospital Utilisation Statistics and the Health Insurance Statistics as well as the Register of Pharmaceutical Sales. Collected data are not further validated. Instead, collected data are merged, and the detailed information about the population's hospital utilisation, consultations with physicians and purchases of prescription medicine is aggregated into the final statistical output., Read more about statistical processing, Relevance, The statistics are relevant for professionals, analysts and other interested parties as a basis for elucidation and in-depth analyses of the health of the NEET group., Read more about relevance, Accuracy and reliability, The overall accuracy of these statistics is high, which means that they are a good measure of the health status among the NEET group and the remaining group of active 16-24-year-olds. However, it should be noted that the operationalization of NEET status implies a great diversity within the NEET group, for this reason far from all young people in this group should be designated vulnerable. Overall, the statistics are reliable, as both the data and methods are of good quality. As the statistics only release final figures, revisions are not expected., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published within 1.5 years 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, These statistics have been compiled since 2019 and are in their present form comparable from 2019 and onwards., Read more about comparability, Accessibility and clarity, These statistics are published once 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 , Health of vulnerable groups, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-among-young-people-not-in-employment--education-or-training--neet---experimental-statistics-

      Documentation of statistics

      Documentation of statistics: Announcements of forced sales of real property

      Contact info, Prices and Consumption, Economic Statistics , Maya Drewsen , +45 20 36 69 89 , MDR@dst.dk , Get documentation of statistics as pdf, Announcements of forced sales of real property 2024 , Previous versions, Announcements of forced sales of real property 2023, Announcements of forced sales of real property 2022, Announcements of forced sales of real property 2021, Announcements of forced sales of real property 2020, Announcements of forced sales of real property 2019, Announcements of forced sales of real property 2018, Announcements of forced sales of real property 2017, Announcements of forced sales of real property 2016, Announcements of forced sales of real property 2015, The purpose of the statistics is to document the trend in the number of announced forced sales in the Danish Official Gazette. The development in this figure is considered to be an important economic indicator. The quarterly statistics figures are comparable from 1979 onwards, while the monthly figures are comparable from 1993 onwards. The annual municipal figures are comparable from 2012 onwards. , Statistical presentation, These statistics document the development in the number of forced sales of real property, announced in the Danish Official Gazette, broken down by type of property and geographical location., Read more about statistical presentation, Statistical processing, Data for these statistics are collected electronically from the Danish Official Gazette. To avoid major fluctuations, Statistics Denmark performs trouble-shooting of the collected data to ensure that the same owner is only counted once within the month in question. Furthermore, trouble-shooting is performed to make sure that second announcements about the same real property, cancellations, confirmations, reprints, change of court date, discontinuance, affirmation, attachment, delay, default etc. are not included in the statistics. Subsequently, the forced sales are broken down into the various property categories and geographical areas. , Read more about statistical processing, Relevance, The statistics are used by public and private decision-makers to assess the trend in the number of announced forced sales of real property. , Read more about relevance, Accuracy and reliability, The forced sales of real property statistics provide a monthly total count of the number of announced forced sales of real property in the Danish Official Gazette with unique owners within the month in question. In this way it is ensured that major fluctuations in the statistics are minimised. The primary purpose of this set of statistics is to be informative regarding trends and it is not an assessment of the number of forced sales actually carried out. , Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 4 weekdays after the expiry of the month except the figures of December which are published 8 weekdays after the expiry of the month., Read more about timeliness and punctuality, Comparability, The statistics are comparable at a national level since 1979. Due to the structural reform in 2007, there is a geographical breach of data., Read more about comparability, Accessibility and clarity, The statistics is published monthly in News from Statistics Denmark. Figures can also be found in StatBank. The figures are also included in the Statistical Ten-year review and Statistical Yearbook (has been discontinued)., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/announcements-of-forced-sales-of-real-property

      Documentation of statistics

      Documentation of statistics: Farm Structure Survey

      Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Farm Structure Survey 2025 , Previous versions, Farm Structure Survey 2024, Agricultural and Horticultural Survey 2023, Agricultural and Horticultural Survey 2022, Agricultural and Horticultural Survey 2021, Agricultural and Horticultural Survey 2020, Agricultural and Horticultural Survey 2019, Agricultural and Horticultural Survey 2018, Agricultural and Horticultural Survey 2017, Agricultural and Horticultural Survey 2016, Agricultural and Horticultural Survey 2014, The purpose of the survey is to describe the structure of agriculture, e.g. number of farms by size and geography., The statistics have comparable time series going back to 1982. The agricultural statistics, however, are much older than that with figures for number of farms, livestock, crops etc. going back to around 1900. , Statistical presentation, The farm structure statistics are yearly and include figures on number of farms, livestock, crops and technology distributed by for instance size and geography. The statistics are published "Nyt fra Danmarks Statistik (News from Statistics Denmark) and in the statbank., Read more about statistical presentation, Statistical processing, The information is collected by means of a yearly questionnaire based survey where the farmers complete the questionnaire online. The answers are validated for non probable values., Information on crops and cattle is collected from registers, and is thereby not reported by every single farmer. , The survey is a sample survey stratified by region, size and type of farming., Read more about statistical processing, Relevance, The statistics fulfill a need for structural information on the Danish agriculture, e.g. number of farms by size and region. Important users are EU, the ministries and agricultural organizations., Read more about relevance, Accuracy and reliability, The precision varies for the different items of the statistics. The precision is thus highest for the total agricultural area and less precise for specific crops, especially crops grown by only few farmers. Likewise the precision is best for livestock which many farmers have. This is in particular true for cattle. In the same way the uncertainty is high for small geographical units, e.g. Bornholm., Read more about accuracy and reliability, Timeliness and punctuality, The survey is published about 9-12 after the survey day. This difference is due to the fact that survey varies in size from year to year, both with respect to the questionnaire and the sample size., Read more about timeliness and punctuality, Comparability, The survey is almost comparable from 1982 onwards. There is also a high degree of comparability with other European countries. Between 2009 and 2010 there is, however, a small break in the comparability since the statistics from 2010 onwards includes a number of small farms and additionally farms with fur animals. It means that the number of farms in 2010 is about 1.200 bigger than it otherwise would have been., From around 1900 to 1981 the statistical surveys also included very small farms with an area of only hectares. These figures are available for the users in paper publications, but not online. , Read more about comparability, Accessibility and clarity, The survey is published here: Online, http://www.Statbank.dk, New from Statistics Denmark, Statistical ten years review, and in the analyses of Statistics Denmark, see this analyse on [Analyse]https://www.dst.dk/da/Statistik/Analyser/visanalyse?cid=29376 , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/farm-structure-survey

      Documentation of statistics
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