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    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

    Documentation of statistics: Victims of Reported Criminal Offences

    Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Victims of Reported Criminal Offences 2024 , Previous versions, Victims of Reported Criminal Offences 2023, Victims of Reported Criminal Offences 2022, Victims of Reported Criminal Offences 2021, Victims of Reported Criminal Offences 2020, Victims of Reported Criminal Offences 2019, Victims of Reported Criminal Offences 2018, Victims of Reported Criminal Offences 2017, Victims of Reported Criminal Offences 2016, Victims of Reported Criminal Offences 2015, Victims of Reported Criminal Offences 2014, Victims of Reported Criminal Offences 2013, Documents associated with the documentation, Note on victims of rape (2024) (docx), The purpose of "Victims of reported criminal offences" is to analyze the number of victims of police reported offences assaulting or causing harm to people. The statistics on victims of reported criminal offences date back to 2001., Statistical presentation, The statistics on victims of reported criminal offences form part of the Danish System of Criminal Statistics which includes data on criminal cases from the reported offences and victims and charges to the convictions plus arrests and imprisonments. The statistics of victims of reported criminal offences are case statistics, which show the number of victims of some particular police recorded offences, i.d. sexual offences, violence and some property offences as robbery and bag snatching., Read more about statistical presentation, Statistical processing, The source of the statistics is The Administrative System of the National Police. Data are delivered yearly via System-to-system transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant victim cases are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the http://www.statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The data come from a single administrative register system, and Statistics Denmark receives one total register extract containing all the victims of criminal offences reported to the police in Denmark. , However, it is evident from victimization surveys that the statistics on reported criminal offences underestimate the actual number of crimes, as it is far from all crimes which are reported to the police (hidden criminality). , Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 2-3 months. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics are comparable over time. However, the number of victims of homicide is underestimated for the years 2001-2009. , UN collects annual data from the member states on victims of homicide and publishes statistics based on this. However, the definition of homicide can differs between countries and comparisons based upon absolute figures can therefore be misleading., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release. In the StatBank, these statistics can be found under , Victims of reported criminal offences, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/victims-of-reported-criminal-offences

    Documentation of statistics

    Martin Ulrik Jensen appointed new director general and national statistician

    Upon recommendation by the supervisory board of Statistics Denmark, the Minister for Digital Government, Caroline Stage, has appointed Martin Ulrik Jensen as the new national statistician and director general of Statistics Denmark., 16 September 2024 12:05 ,  , Martin Ulrik Jensen comes from a position as head of department in the Ministry of Finance and deputy permanent secretary in the Ministry for the Green Tripartite Agreement. He will take up his duties in Statistics Denmark on 1 December., Vice-chair of Statistics Denmark’s Supervisory Board, David Dreyer Lasser says:, “In the supervisory board, we are very pleased with the appointment of Martin Ulrik Jensen as the new national statistician and director general. He has a clear understanding of Statistics Denmark’s role as the national provider of independent statistics and data. For a number of years, Martin Ulrik Jensen has been working closely with Statistics Denmark and hence has a good knowledge of the institution. Martin Ulrik Jensen has a solid professional and managerial ballast from his previous employments and a strong commitment to Statistics Denmark, which he articulated very clearly in the recruitment process. Overall, this gives us reason to expect that he will be able to further develop Statistics Denmark for the benefit of the many users and for Danish society.”, Martin Ulrik Jensen says:, ”Statistics Denmark has a central role in Danish society. Statistics Denmark is the main provider of independent data and statistics, which is an important part of the foundation for a democratic and dynamic society. The position as national statistician and director general is therefore a dream job, and I am happy that the board has nominated me. I look forward to running and developing Statistics Denmark together with the supervisory board and the competent employees and in active cooperation with the users.”, See the press release (in Danish) from the Ministry of Digital Affairs, CV, Education, Master of Science (MSc) in Economics, University of Copenhagen,  , Employment, 2019           Head of Department, Ministry of Finance, 2016           Head of Department, Ministry for Economic Affairs and the Interior, 2015           Head of Department, Ministry of Social Affairs and the Interior, 2015           Head of Division, Ministry of Finance, 2011           Head of Division, Ministry of Economic Affairs and the Interior, 2009           Head of Division, Ministry of Economic and Business Affairs, 2006           Head of Section, Special Adviser and Chief Special Adviser, Ministry of Economic and Business Affairs, 2004           Head of Section, Ministry of Finance,  , Other duties,                      Member of the Board of Directors for VIVE,                      Member of the Advisory Committee for Denmark’s Data Portal,                      Member of the Economic Policy Research Network (EPRN),                      Member of various model groups (ADAM, DREAM and MAKRO), For further information, contact Head of Press Majken Lenskjold (tel. +45 22 42 07 48 / , mle@dst.dk, )

    https://www.dst.dk/en/presse/Pressemeddelelser/2024/2024-09-16-ny-rigstatistiker

    Documentation of statistics: Home to work commuting

    Contact info, Labour Market, Social Statistics , Pernille Stender , +45 24 92 12 33 , psd@dst.dk , Get documentation of statistics as pdf, Home to work commuting 2024 , Previous versions, Commuting 2016, The statistics measure commuting between place of residence and workplace within Denmark, including the distances between commuters’ homes and workplaces. Commuting statistics viewed as commuting between municipalities can be compiled from 1980 onwards. The distance between home and workplace was first calculated in 2006. The statistics are comparable in its current form from 2008 onwards., Statistical presentation, The statistics provide an annual, individual-based account of employed persons’ commuting between place of residence and workplace on the last working day of November. The distance between commuters’ home and workplace is also calculated in kilometres (km). The commuting statistics are published the StatBank, where the data can be distributed on place of residence, workplace, commuting distance, gender, industry (DB07), and socio-economic status., Read more about statistical presentation, Statistical processing, The commuting statistic is compiled on the register-based labour force statistic (RAS), which is based on the Labour Market Account (LMA) - a longitudinal register. A comprehensive data validation is done in the production of AMR. RAS is compiled taking a snapshot (on the populations primary attachment to the labour market) on the last working day in November based on LMA. Based on the information about the address of residence and workplace for employed persons the commuting distance is calculated. , Read more about statistical processing, Relevance, The statistic is relevant for users interested in mobility on the labour market and the data foundation makes it possible to connect detailed information for analysis. , Read more about relevance, Accuracy and reliability, The commuting statistics are based on the Register-Based Labour Force Statistics (RAS), which are used to describe the population’s attachment to the labour market. RAS is compiled from a wide range of data sources that are integrated, error-checked, and harmonised within the labour market accounts. RAS is produced as a snapshot at the end of November based LMA. Therefore, RAS does not carry the same level of uncertainty as statistics based on sample surveys., It is also important to be aware that the calculated commuting distance reflects an ideal situation where every person is believed to travel from residence to workplace by the shortest route and by car. , Read more about accuracy and reliability, Timeliness and punctuality, Commuting statistics for commuting between municipalities are published approximately 11 months after the reference date. Commuting distances are published approximately 17 months after the reference date. , Read more about timeliness and punctuality, Comparability, The statistics can be compiled from 1980 and are comparable from 2008 onwards. Historically, there have been various data breaks in the RAS statistics, which are described in the statistical documentation for RAS., Read more about comparability, Accessibility and clarity, In the StatBank the statistics is published can be found under the subject , Home to work commuting, . For further information, go to the , subject page, . , Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/home-to-work-commuting

    Documentation of statistics

    Stress and mental disorders

    How many are suffering from stress and how many have mental disorders in Denmark? How is the mental health of the population?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources referred to below have content in Danish only or limited content in English., Stress, "Den Nationale Sundhedsprofil” is a national health profile (in Danish), which includes information on stress – see results from the surveys:, The latest publications are , "Danskernes sundhed - Den nationale sundhedsprofil 2021",  and the mid-term survey , "Danskernes sundhed 2023", Results from 2010, 2013, 2017, 2021 and 2023 can be found in the database , Danskernes sundhed, The Danish Work Environment Authority (Arbejdstilsynet) monitors the working environment among employees - including the psychological working environment and stress., Read more and see data from , ”National Overvågning af Arbejdsmiljøet blandt Lønmodtagere” (NOA-L), See also the article , ”Stigning i anmeldte psykiske sygdomme i 2023”, Mental disorders, Psykiatrifonden is the Danish mental health fund and provides general figures for the incidence of mental illness in the population:, See their website with , incidence, (in Danish), which includes source references., At the request of the Danish Health Authority, the National Institute of Public Health (NIPH) has carried out a major study of the burden of disease in Denmark. , ", Sygdomsbyrden i Danmark - Sygdomme, " (2023) (in Danish). The study compares e.g. depression, anxiety and schizophrenia in terms of various parameters such as incidence, mortality, treatment, sickness absence, disability pension, etc. , The Danish Health Data Authority has key figures about the healthcare sector: , Data on patients and admissions to psychiatric hospitals is available in The Danish Health Data Authority’s databank – , eSundhed, (in Danish)., The Danish Health Data Authority is responsible for the register of medicines statistics, Lægemiddelstatistikregisteret (in Danish), which holds information on all sales of medicines in Denmark. , The register is used for e.g. analyses of the consumption of , ADHD medicine, antidepressants and anti-psychotics,  (in Danish), Stress, mental disorders and mental health of children and young people, Børns Vilkår og TrygFonden: , The report ", Krop, køn og digital adfærd : hvordan mindsker vi presset på børn og unge, ?" (2020) (in Danish) contains a section about children and young people's experiences of pressure and stress in everyday life., The Danish Health Data Authority:, In their report ", Prævalens, incidens og aktivitet i sundhedsvæsenet for børn og unge med angst eller depression, ADHD og spiseforstyrrelse, " (2018) (in Danish), the Health Data Authority has collected data on the prevalence, incidence and activity in the healthcare sector for children and young people suffering from anxiety, depression, ADHD or eating disorders., Vidensråd for Forebyggelse (Danish knowledge council for prevention):  , The report ", Mental sundhed og psykisk sygdom hos 0-9-årige børn, " (2021) (in Danish) maps e.g. the prevalence and distribution of mental health issues and mental illness among 0-9-year-old children., The report ", Mental sundhed og sygdom hos børn og unge i alderen 10-24 år, " (2020) (in Danish) has data on children and young people with ADHD, autism spectrum disorders (AFS), anxiety, depression, obsessive-compulsive disorders (OCD), Tourette’s syndrome, behavioural disorders, eating disorders and psychoses in the schizophrenic spectrum. The report incude a section on the occurrence of stress in the age group., The Danish Health Authority:, ", Stress blandt unge, " (2007) (in Danish) presents the results of the first survey on stress among pupils in the final years of secondary school.,  , [This page was last reviewed in October 2024]

    https://www.dst.dk/en/informationsservice/oss/stress

    Signing the project proposal

    The project proposal must be approved before a project becomes effective. It takes a signature from both Denmark’s Data Portal and a user with signatory role in your institution. Here you can read how to sign a project proposal and how, as the person responsible for authorisation or a substitute, you assign the role of signatory to users.,  , See the video guide (in Danish) on how to sign a project proposal in the DDP App, When you have submitted your project proposal to Denmark’s Data Portal, an employee will assess whether the proposal can be approved. If Denmark’s Data Portal estimates that the proposal cannot be approved, the contact person for the project will get a reason for the rejection and an opportunity to adjust the proposal., If the project proposal is approved, Denmark’s Data Portal will sign it. Subsequently, the contact person for the project, the administrator or the contact person with powers who submitted the proposal, as well as the chosen signatory will receive an email with information about the approval., When Denmark’s Data Portal has approved the proposal, the person who has been assigned the signatory role in your institution must sign the proposal. Only users who have been assigned the role of signatory can sign project proposals., To sign it, you – as the signatory – log into the DDP App. On the front page, you select “My overview” followed by “Project proposals for signature”. Here you can see all the project proposals that are ready to be signed., Select the project proposal that you want to sign. You can read the project proposal; see who has access to the project, and who is the contact person for the project. If you wish, you can refuse to sign, and then the project proposal is returned to the contact person for revision., If you want to sign the project proposal, you select the button “Sign”. Read the terms of the signature and tick the two fields to confirm that you want to sign the project proposal and that you are an employee of the institution in question. You can now click the button “Sign”., When as signatory you have signed the proposal, the submitter and contact person for the project will receive an email about the further course., Assignment of the role as signatory , If relevant, see the video guide (in Danish) about assignment of the role as signatory in the DDP App, A person responsible for authorisation or a substitute can assign the role as signatory to a user who is employed in the institution in question. The person responsible for authorisation or his or her substitute is responsible for ensuring that the signatory fulfils this requirement. Note that persons with the signatory role can sign on behalf of the institution to pledge that a project proposal is legal and conforming to Article 6 of the General Data Protection Regulation., Procedure:, When you are the person responsible for authorisation or a substitute and you want to assign a signatory role to a user, you must log into the DDP App., On the front page of the DDP App, you click ‘My overview’., Then select the institution that you want to manage., Click the three dots next to the name of the institution and select ‘Manage signatories’., Click ‘Select’ next to the users you want to make signatories, and click ‘Save’. (If you want to withdraw the role of signatory from a user, you must click the tick, so that it is removed, and then click ‘Save’.), The user has now become a signatory and can be designated to sign project proposals on behalf of the institution.

    https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/underskrivelse-af-projektindstilling

    Contact Denmark’s Data Portal

    You can contact Denmark’s Data Portal by email or call during our opening hours. In the drop-down menu below, you can find contact information depending on the nature of your inquiry., IT-support for remote login, servers or other IT issues, If you need help with remote login, servers or other IT problems, you can contact IT-support., Phone: +45 39 17 38 00, Opening hours:, Monday-Thursday: 8:30-16:00, Friday: 8:30-15:30, Mail:, servicedesk@dst.dk, Denmark’s Data Portal Support, If you have questions about Statistics Denmark’s microdata schemes, user access, or the process of ordering data via the DDP App, you can contact Denmark’s Data Portal Support on weekdays. Please note that we do not transfer calls to individual staff members., The hotline is currently closed due to technical issues. Please contact Denmark’s Data Portal Support via mail., Find answers to the most frequently asked questions about the DDP App here, Phone: +45 39 17 31 30, Opening hours:, Monday-Friday: 10:00-12:00, Mail:, danmarksdatavindue@dst.dk, Mails are answered within two working days., Error support for the DDP App, If you experience technical problems or errors in the DDP App, you can contact DDP App Support., DDP App Support will be closed from Monday, December 22nd through Friday, January 2nd., Mail:, ddvsupport@dst.dk, Inquiries about project proposal in the DDP App, If your inquiry is about a project proposal in the DDP App, you can contact the project owner at Statistics Denmark (SD). You can find the project owner in the DDP App under ’about the project’. If the project has not been assigned a SD project owner, you can contact Denmark’s Data Portal Support., Read more about how to order data in the DDP App here , Inquiries about authorisations, If you have questions regarding applications for authorisation or client authorisation, please write to the mail below. , Mail:, fseautorisation@dst.dk, Read more about authorisation of institutions here, Inquiries about rules and data security, If you have questions regarding rules for working with microdata, including rules on transfer of analysis results and sanction rules, please write to the mail below., Mail:, fsehjemtag@dst.dk, Read more about rules and data security here, Inquiries about physical tokens, For inquiries regarding physical tokens, please write to the mail below., Mail:, les@dst.dk,  , Delivery times in Denmark’s Data Portal, At Denmark’s Data Portal, we process your inquiry/task as quickly as possible, and all inquiries/tasks are processed in the order they are received., The current delivery times are as follows:, From your first inquiry to the delivery of data, the average processing time is about 21 days., From contract signing/price approval to delivery, the average processing time is 12 days.,  ,  ,  

    https://www.dst.dk/en/TilSalg/data-til-forskning/om-danmarks-datavindue/kontakt-danmarks-datavindue

    Request for subscription

    In the DDP App, you can request a subscription if your institution has a project database scheme or authority scheme. , As an administrator or contact person, you can request a subscription in the , DDP App, . If you have an authority scheme or project database scheme, you can take out a subscription directly in the , DDP App, ., A subscription allows you to pre-order non-published data that are expected to be published in the selected delivery year. The subscription is valid for one calendar year., Note that a subscription is based on your last approved project proposal. You are only allowed to take out a subscription for registers that are part of that project. If you want to take out a subscription for registers that are not part of your last approved project proposal, you must first create and obtain approval of a re-proposal with the relevant data, for which you can subsequently take out a subscription., After you have requested a subscription, you will receive a quote and a contract for final approval. The subscription is not binding until both parties (your institution and Statistics Denmark) have signed the contract., This is how you request a subscription, Log into the DDP App., Select ‘My overview’., Access ‘Projects’ and click your project database or authority scheme., Access ‘Subscriptions’ and then click the ‘+’ icon. Click ‘Select registers’ to continue., In the box ‘Select subscription period’, you must select the year that you want a subscription for., Select which registers you want to include in the annual contract by clicking the small squares to the left of the register names., a. If you want to select all registers, you can click the square to the left of the heading ‘Register’., b. Squares with a grey slash through indicate that the register cannot be selected, for example because the register is no longer being updated., Under the column ‘Data set’, you can indicate how many data sets you want to receive., a. Select the option ‘All’: If the register is updated more than once a year, and you want e.g. to get all quarterly sets., b. Select the option ‘Annually’ (31.12.YYY): If you only want data for the whole year, even though it is updated quarterly., c. Select the option ‘Other’: Write to your Statistics Denmark project owner and elaborate on your wish. For example, it could be relevant for some users in connection with the DREAM register, which is released as monthly versions, but not every month, and where the release pattern is determined by the source providing data to DREAM., Continue by clicking ‘Submit’ at the bottom of the page. You can also save your request along the way. You can return to the subscription again by accessing ‘Subscriptions’, followed by clicking the subscription with the status ‘Created’. Select ‘Edit’ under the three dots., Click ‘OK’ in the info box to submit the request to Denmark’s Data Portal. You do , not , have an option to subsequently edit the subscription., After you have submitted it, your Statistics Denmark project owner may suggest specific data sets for the individual registers. You can see these suggestions via ‘My overview’ (select the project and then ‘Subscriptions’)., You can now engage in dialogue with your Statistics Denmark project owner as to whether you agree with the suggested data sets. You cannot change the selection yourself, but your project owner from Statistics Denmark can., When you have agreed on the contents, your Statistics Denmark project owner will prepare the contract for the subscription., When both parties have signed the contract, the subscription will be approved.

    https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/anmodning-om-abonnement

    Documentation of statistics: Cash Benefits

    Contact info, Labour Market, Social Statistics , Carsten Bo Nielsen , +45 23 74 60 17 , CAN@dst.dk , Get documentation of statistics as pdf, Cash Benefits 2025 , Previous versions, Cash Benefits 2024, Cash Benefits 2023, Cash Benefits 2021, Cash Benefits 2020, Cash Benefits 2019, Cash Benefits 2018, Cash Benefits 2017, Cash Benefits 2016, Cash Benefits 2015, Cash Benefits 2014, The purpose of the statistics Cash Benefits is to measure the number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid to person’s who receive cash benefits and related benefits. The statistics are used to public planning, budgeting in the municipalities, education, research and public debate. These statistics have been compiled since 1983, but is in its current form comparable from 2007 and onwards., Statistical presentation, Cash Benefits statistics are a monthly and yearly measurement of receivers of cash benefits and related benefits stated in number of recipients (actual figures and seasonally adjusted), whole year persons and the amounts paid in 1.000 DKK. The statistics cover persons who are above the age of 16 years old. Furthermore we have a yearly statistics grouped by ancestry, family type and national origin., Read more about statistical presentation, Statistical processing, Administrative data for these statistics are collected monthly from KY. The level and the development of the statistics are compared with the previous three months for every account code according to the authorized account plan. The collected data is processed according to the definition of affected persons. The definition can be found in section 2.04 , Statistical concepts and definitions, ., Read more about statistical processing, Relevance, These statistics are relevant for ministries, municipalities, organizations, education institutions, research institutions, the media and private persons, for analysis, public and private planning etc. The statistical data are also used in other areas within Statistics Denmark, e.g. analysis, production and validation of the statistics , People receiving public benefits, ., Read more about relevance, Accuracy and reliability, The statistics are based on records from KY. The records are based on an authorized account plan made by the Ministry of Health and the Interior. The municipalities have an economic incentive to make valid registrations. Therefore, the overall accuracy is at a high level., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published quarterly and yearly. The quarterly statistics are published 70 days after the end of the reference period while the yearly statistics are published 5-6 months after 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 1983 but is in its present form comparable from 2007 and onwards., Comparability over time can be divided in to three periods:, 1983 Quarter 2 - 1993 Quarter 4 - Number of families., 1994 Quarter 1 - 2006 Quarter 4 - Number of persons. , 2007 Quarter 1 - present - Number of persons. New source and counting., It is not possible directly to compare the statistics internationally, as other countries do not have the corresponding benefits and rules., Read more about comparability, Accessibility and clarity, These statistics are published quarterly in a Danish press release, at the same time as the tables are updated in the StatBank. The yearly statistics are only published in the StatBank. In the StatBank, these statistics can be found under the subject , Cash benefits, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

    Documentation of statistics

    Documentation of statistics: Land Accounts

    Contact info, National Accounts, Climate and Environment, Economic Statistics , Michael Berg Rasmussen , +45 51 46 23 15 , MBR@dst.dk , Get documentation of statistics as pdf, Land Accounts 2024 , Previous versions, Land Accounts 2021, Land Accounts 2018, Land Accounts 2016, These statistics concern the size of the land area of Denmark, how it is covered and how it is used. Land cover estimates how Denmark is covered by roads, buildings, crops, forests, lakes etc. Land use estimates for what purpose the land area of Denmark is used, e.g. for housing, industry, trade, recreation etc. Land accounts are part of the the Environ­mental-Economic Accounts (Green National Accounts)., Statistical presentation, Land accounts has three parts. Denmark's area in square kilometers in total and by municipalities and regions, land by land cover and land use by industry. Land by land cover and land use by industry are stated in square kilometers, square meter per capita and in percentage of the total land area, geographically divided by provinces and regions., Read more about statistical presentation, Statistical processing, The land cover accounts have been produced from consolidating a number of source maps, all of which shows aspects of Danish land cover. All the maps have been overlaid using GIS techniques and aggregated into one map. The main part of the GIS-related work has been carried out by DCE, Aarhus University. , The land use accounts have been produced by combining the Cadastral map with the registers on buildings, dwellings, businesses, municipal plans etc. The classifications from the registers have been combined and prioritized to create the classification of land by land use., Read more about statistical processing, Relevance, The land accounts are relevant for users interested in how Danish land is used, and how this changes over time - including analyses of how different land covers and land uses may compete as demand for more urban land or more protected nature will have to mean less of other uses., Read more about relevance, Accuracy and reliability, The statistics are well documented and transparent, building on all relevant map sources for the land cover of Denmark. Quality of the land use accounts is considered to be good, but the uncertainties are bigger than for the land cover. This is because the method is new and these accounts are the first published of their kind. As for many other statistics, the higher level of detail, the higher the uncertainties. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics on the size of Denmark's land area is published by the end of February, in the year following the reference year. On the other hand, land by land cover and land use by industry do not have a fixed publishing rhythm, but have so far been published at years intervals. 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, The land cover accounts is fully compatible between 2011, 2018, 2021 and 2024. Compatibility with older statistics on land cover is limited, as there have been major changes to sources as well as methods. Land use has so far only been measured for one reference year., Read more about comparability, Accessibility and clarity, Statistics on the size of Denmark, land by land cover and land use by industry are published in the StatBank under , Land use accounts, and , Natural resource accounts, . Furthermore, Land accounts is part of the Environ­mental-Economic Accounts (Green National Accounts)., Read more about accessibility and clarity

    https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/land-accounts

    Documentation of statistics