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Eating habits and food waste

How are the meal and eating habits in Denmark? , How many are vegetarians? How much food is wasted in Denmark?, 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., In Statistics Denmark’s StatBank Denmark, you will find a table from the Household Budget Survey on ", Household average consumption by group of consumption and price unit, " that allows you to see the Danish consumption in DKK on various foods and drinks, e.g. coffee., The National Food Institute under the Technical University of Denmark (DTU) runs surveys on dietary habits in Denmark, , nationale kostundersøgelser (DANSDA), (in Danish) - currently , DANSDA 2021-2024, is in progress., Reports and articles - e.g. on the consumption of meat (2018) and the use of plant-based alternatives to meat and dairy products (2024) - are available via the , institute’s list of publications, (some of which are in English), See also an article comparing sales of sweets, chocolate, soft drinks and squash in Denmark with those in other countries: , Danskerne er verdensmestre i slikindkøb, (2021) (in Danish), Read more about i.a. dietary supplements and health-promoting substances on the topic page , Nutrition and dietary habits, The National Institute of Public Health (NIPH) has prepared a national health profile “Den Nationale Sundhedsprofil 2021”, which includes information on dietary habits:, The results of the survey are available in a , database, and a , publication, (both in Danish), The Danish Agriculture & Food Council also makes , consumer analyses, (in Danish) – e.g. on the use of cook-at-home meal kits (2023, 2021), convenience foods (2023, 2020) and takeaway (2024, 2018)., Madkulturen is an independent institution under the Ministry of Food, Agriculture and Fisheries of Denmark working to promote a healthy food culture in Denmark. The institution makes annual surveys of the population’s food and meal habits:, The reports, (in Danish) include information on the choice of ingredients, dietary principles and grocery shopping - including the use of cook-at-home meal kits., How many drink coffee, tea, beer, soft drinks or bottled water?, Trade organisations have information on the consumption of different types of drinks:, Coffee:, Dansk Kaffeinformation (Danish coffee information) offers figures on coffee, , Kaffe i tal, , (in Danish) at their website kaffeinfo.dk, Tea:, Terådet (the tea council) provides figures on tea, , Te i tal, (in Danish), at their website teinfo.dk, Beer, soft drinks and bottled water: , The Danish Brewers’ Association, has figures for the separate groups of drinks – as well as for , containers and the deposit system, (in Danish), At Statistics Denmark, you can find information on , sales of alcohol per head, - disaggregated on beer, wine and spirits., , How many are vegetarians? And how many live on a strictly vegan diet?, In 2017-2022, the Danish Vegetarian Association - in collaboration with Coop Analyze - has carried out a , study on the vegetarian environment, in Denmark (in Danish)., How much food is wasted in Denmark?, In Statistics Denmark’s annual survey on ", ICT usage in households and by individuals, “ (summary in English), people were asked e.g. about their use of apps to reduce food waste., See also an article from Statistics Denmark on one in five Danes fighting food waste via apps ", Hver femte bekæmper madspild ved brug af apps, " (in Danish) (August 2022), See , table in StatBank Denmark, The Danish Veterinary and Food Administration (Fødevarestyrelsen) has focus on food waste:, Hvor meget mad spilder danskerne?, (in Danish), One\Third is a think tank on Prevention of Food Loss and Food Waste. The think tank belongs under the Ministry of Food, Agriculture and Fisheries of Denmark and makes surveys on food waste and food loss – e.g. how many packed lunches are thrown out. One of their publications is an analysis of food waste fractions in household waste:, Analyse af madspildsfraktioner i affald fra husholdninger, (in Danish) (September 2022), The Danish Agriculture & Food Councilalso focuses on , food waste, (in Danish), [This page was last reviewed in July 2025], ,

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

Abuse/Addiction

How are the drinking and smoking habits of Danes?, 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., Statistics Denmark’s StatBank has tables on the , Sales of alcohol and tobacco, , and some of the tables offer data back to 1921., Other historical time series on the consumption of alcohol and cigarettes (1945-2010) and on daily smokers (1953-2012) are available in Statistics Denmark’s publication "65 år i tal - Danmark siden 2. verdenskrig” (in Danish). Clicking the figures in the publication opens an Excel file with the underlying figures:, Get the publication ", 65 år i tal - Danmark siden 2. verdenskrig, " (2014) on our website, Other sources of data on alcohol, The Danish Health Authority:, Fakta om Alkohol, (in Danish) - where, among other things, there is information on , young people's alcohol consumption, (in Danish). , See e.g. the Danish part of , The European School Survey Project, (in Danish) on 15-16 year-old's relationship to alcohol, smoking and drugs, The Danish Health Data Authority publishes statistics on alcohol: , alkoholstatistik , (in Danish), which include sickness rates, treatment and expenditure. Furthermore, they publish a selection of analyses on e.g. secondary complications, VIVE - the Danish Center for Social Science Research:, The survey on socioeconomic costs associated with alcohol overconsumption ", Samfundsøkonomiske omkostninger forbundet med alkoholoverforbrug, " (2014) (in Danish), The report on municipal costs associated with excess consumption of alcohol ", Kommunale omkostninger forbundet med overforbrug af alkohol, nr. 3, " (2017) (in Danish), Other sources of data on tobacco and smoking, The Danish Health Authority: , Theme page on tobacco and nicotine – , Tobak og nikotin, (in Danish) where, among other things, there is information about , young people's use of smokeless nicotine products, (in Danish), Smoking habits in Denmark, are examined annually (in Danish), Kræftens Bekæmpelse (the Danish Cancer Society): , Information on tobacco and smoking habits – , tobak og rygevaner, (in Danish), VIVE - the Danish Center for Social Science Research:, Report on the costs of smoking in a lifetime perspective – ", Omkostninger ved rygning i et livstidsperspektiv, " (2019) (in Danish), How many smoke hash - or use drugs such as cocaine, amphetamines, ecstasy or opioids?, The Rockwool Foundation's Research Unit has carried out a survey on very young people's use of opioids, cocaine, MDMA (ecstasy), amphetamines and hash. , See the analysis ”, Brugen af opioider blandt 15-19-årige, og sammenhængen med øvrig risikoadfærd og trivsel, ” (2024 - in Danish), Since 2004, the Danish Health Authority has monitored and published reports annually on the drug situation in Denmark:, Narkotikasituationen i Danmark, (in Danish)., See also the Health Authority’s other pages on drugs:, Theme page on drugs – , Stoffer , (in Danish), Publications on drug abuse – , stofmisbrug, (in Danish), Statistics Denmark has information on the social drug abuse treatment offered by municipalities and providers of treatment:, Introduction to the statistics on , Drug abuse treatment, Tables in , StatBank Denmark, More on drugs and addiction, VIVE and researchers from Copenhagen University have collaborated on the project "Youths, Drugs and Alcohol":, In 2018, the results of the 10-year longitudinal study were published in the report ", Unge, alkohol og stoffer – et tiårigt forløbsstudie, “ (in Danish), The national health profile 2023, “Den Nationale Sundhedsprofil 2023” (in Danish), includes information on smoking and alcohol consumption:, The results of the survey are available in a , database, as well as in publications: , Danish Health Authority, / , National Institute of Public Health, (all in Danish), The Danish Health Authority has published reports on the burden disease in Denmark in 2023 - ", Sygdomsbyrden i Danmark, " (in Danish). In the reports, e.g. the occurrence and the consequences of (abuse of) i.a. alcohol and smoking., The Centre for Alcohol and Drug Research publishes , reports, (mainly in Danish) as well as scientific contributions (in English) on many different aspects of addiction to alcohol and drugs:, International cooperation on drugs, European Union Drugs Agency (EUDA) is an organisation under the EU that has data on drugs and drug abuse in Europe:, See data at their , website, See , national reports, on drug abuse in the separate countries, United Nations Office on Drugs and Crime (, UNODC, ) publishes data on drugs on a global level:, See e.g. the annual ", World Drug Report, ", Other , data, on drugs, , [This page was last reviewed in October 2024],

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

The Enterprise Package

Get An overview of Denmark’s imports and exports of goods , The Enterprise Package is a standard solution specifically suited for private companies wishing to follow the foreign trade in certain goods. It may be items that you already deal with or goods you intend to import or export in future., Identify opportunities and challenges, The starting point of the package is the products you wish to map. The actual list shows how much is imported and exported of a particular product and to and from which countries the product is imported and exported. The list contains both figures for the quantity and the value., You can use the product as a tool for analysis, e.g. if you want to:, Identify potential export opportunities, Know how much of a particular product is imported into the domestic market, Find economic growth areas for particular products, Content and documentation, Data are based on extracts from Statistics Denmark's table KN8MEST. and contains monthly, quarterly and yearly figure. The figures are summed up by quarters and years, but since data for the past month only include trade with Extrastat countries, the most recent quarter and year are incomplete. The price per kg is a calculated value and if a unit other than kg occurs, then that price per unit is also calculated. Below you can see an example of a delivery., Example of a delivery, Reliability, for errors , Date of publication, Revisions of the figures, Read the documentation and more about the content of the foreign trade statistics here., Prices, Depends on the number of product codes you want data for. Prices range from , DKK 2,921 excl., , VAT, (DKK 3,651.25 incl. VAT) for 1-8 product codes to , DKK 37,394 excl. VAT , (DKK 46,752.50 incl. VAT) for more than 200 product codes. Prices are covering data delivery for a full calendar year. The package contains monthly, quarterly and yearly figures., Price list - the Enterprise package_2023, Delivery, You will receive the tables once a month in Excel and we will send them by e-mail. The package contains monthly, quarterly and yearly figures. The first delivery (January figures) takes place in March. The December figures for the subscription year will be delivered in February of the following year. If you start a subscription in eg. August, you will receive figures for the part of the year that has passed (+ the year before) in the first delivery and then figures for one new month each month, until the last figures for the calendar year/reference year have been received. , ORDERING, Click on the link below and complete the form., Order, Please note that by ordering you accept , Statistics Denmark's General Terms and Conditions of Agreements, CONTACT INFORMATION, DST Consulting, Tel. +45 3917 3600, Amy Frølander, tel. +45 39 17 37 49, TAILOR-MADE SOLUTIONS, It is also possible to combine the tables with other variables or have them combined in a different way than in our standard tables. Read more about our , tailor-made solutions, or send an email to our consultants at , DST Consulting, .

https://www.dst.dk/en/TilSalg/produkter/erhvervsliv-og-handel/firmapakken

Real estate market

Where can I find historic statistics on sales of real property? And statistics on , parental purchase and, on first-time buyers?, 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., Statistics Denmark has information on sales of real property from 1845 until today., The earliest information for the years 1845-1849 is available in , Statistiske Meddelelser, (in Danish)., The period leading up to 1922 is available (in Danish) in the statistics on , sales of agricultural properties, ., A complete overview of the early statistics on sales and prices of agricultural properties is available (in Danish) in the book on agricultural conditions in Denmark since the mid-nineteenth century: , "Landbrugsforhold i Danmark siden midten af det 19. århundrede 1850-1910", (in Danish), ., From 1923 until 1983, the series , “Ejendomssalg”, (in Danish) is published on sales of real property. However, the series was not published in the period 1937-1950., Sales figures for agricultural properties in the period 1937-1958 were published in the series on agricultural statistics , "Landbrugsstatistik", (in Danish)., Statistics on sales of real property have been published in a series of statistical news publications — , “Statistiske Efterretninger”, (in Danish) — since the beginning in 1909. First, they were published in the general series, later mainly in the B-series. , From 1983, , they were published in the series on the construction industry — “Bygge- og anlægsvirksomhed” (in Danish) — and since continued in the series on income, consumption and prices — “Indkomst, forbrug og priser” (in Danish) — until the last publication in 2008/2009., The figures from 1992 to the present can now be found in Statbank Denmark under the subject , “Sales of real property", ., Furthermore, statistics on sales of real property have been published from 1896 until 2017 in the statistical yearbook: , "Statistisk Årbog", (in Danish), Tabels with figures for ten-year intervals are available in , "Statistisk Tiårsoversigt", (in Danish). The table appears for the first time in , “Statistisk Tiårsoversigt 1970”, displaying figures back to 1959., Other sources, The half-yearly publication from the Danish Customs and Tax Administration on property sales is available at our library for public loan or reading in the library reading room. We have volumes from 1974-2000. , At , Finance Denmark, , statistics are available on e.g. prices of houses, turnover time, time on the open market, time-on-market incl. off-market listing time, and number of homes for sale. The figures have been calculated for the whole country, the separate regions, provinces and municipalities. Tables on prices, sold homes, number of homes for sale and turnover times are also available distributed by postcodes., The consultancy Colliers International has a , quarterly market report, with an overview of rental income and yield requirements for the commercial real estate market and rental housing market in major cities in Denmark., How did cooperative housing prices develop?, In StatBank Denmark, you'll find the tables:, EJ99:, Price index for housing cooperatives and owner-occupied housing (2015=100) by property category and unit, EJEN99:, Key figures for housing cooperatives by valuation principle, Where do I find statistics on homes purchased by parents for their children?, In 2025, Statistics Denmark published an analysis (in Danish) on who the children are and who the parents are: ", Forældrekøbte boliger - hvem er beboerne, og hvem er forældrene?, ", A previous analysis on the topic is from 2016: , "Forældrekøb - hvem er de unge? - og forældrene?", (in Danish)., In 2020, the Economic Council of the Labour Movement published an analysis on homes purchased by parents for their children in , Copenhagen, and, in 2021, a similar analysis for , Aarhus, (both in Danish)., Boligsiden, is a Danish housing website that regularly releases statistics based on their own data on homes purchased by parents for their children., Does Statistics Denmark have information on first-time buyers?, Statistics Denmark has published the following articles (in Danish) with statistics on first-time-buyers:, Hver anden boligkøber er førstegangskøber, (2024), Antallet af førstegangskøbere steg med 17 pct. i 2020", (2021), Hvem er det der køber enfamiliehuse, (2020), Rekordmange førstegangskøbere, (2019), In Statbank Denmark, you can find the table "LABY22: Sales of real property by municipality groups, category of real property and key figures" with information on the proportion of home sales made by first-time buyers, as well as the average age of first-time buyers., Be aware that the definition of "first-time buyers" may vary across articles and tables., How many houseboats are there in Denmark?, Houseboats are registered in the Danish ship register, under the Danish Maritime Authority. Houseboats are categorized as "floating residence" and can be searched via the , Type of use field, . Per 8 January 2026 there were a total of 191 houseboats, of which 134 are registered as private residences., [This page was last reviewed in January 2026]

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

Registers and reference types

Statistics Denmark has gathered a vast series of historical register data in our databank of basic data, which users can access via the platform DDP App. Denmark’s Data Portal manages the databank of basic data and handles access to the platform, support, etc. Most registers in the databank are updated at least once a year in connection with release of the register-based statistics (, see Scheduled releases, ). , The data safari and the List of registers and variables (below) both show the registers in DDP App, and here you can see variables for the individual registers. The documentation of variables is available in Statistics Denmark’s , documentation system, ., Go to Data safari , Go to List of registers and variables (in Danish), , Overview of rerun registers (in Danish), Genkørte registre 2025-3. kvt (pdf), Genkørte registre 2025-2. kvt (pdf), Genkørte registre 2025-1. kvt (pdf), Genkørte registre 2024-4. kvt (pdf), Genkørte registre 2024-3. kvt (pdf), Genkørte registre 2024-2. kvt (pdf), Genkørte registre 2024 - 1. kvt (pdf), Genkørte registre 2023 - 4. kvt (pdf), Genkørte registre 2023 - 3. kvt (pdf), Genkørte registre 2023 - 2. kvt (pdf) , Genkørte registre 2023 - 1. kvt (pdf), Genkørte registre 2022 (pdf), , Reference types, Registers in the basic data overview are compiled by means of different reference types. Next to each register in the basic data overview, you can see which reference type a register has: ’Status’, ’Statusperiode’ (status period), ’Forløb’ (longitudinal) or ’Hændelse’ (incident)., Status, The reference type shows the status for a given date. For example, LONN (structure of earnings), which shows what a citizen earns as of the register date (e.g. 31 December 2021). Or BEF, which shows the population as of the quarter date (including status of residence, age, family, etc.)., Data definition: Clear status as of a given date. The population delimitation and all data content is focused on the date., Status period, This reference type shows the period status, where the population is delimited as of a given date, but the variables contain summed up data for a specific period. For example, IND, which contains the labour income for a year (the period appears from ’Opdateringsfrekvens’ (update frequency) in the basic data overview). Other examples of status period registers: PERSBEST (board members and managers), MFR (medical birth register), HANDICB (financial support for disability cars), DMRB (motor vehicles). It is not always easy to see what is being summed up., Data definition: The population delimitation is made as of a given date, but the content of the variables is accumulated over a given period. The period cannot be deduced from dates in microdata, but from the indicated period (shown under ‘Opdateringsfrekvens’ (update frequency)) – meaning that content in for example amounts, volumes, quantities etc. is aggregated over the indicated period (e.g. a quarter, a year)., Longitudinal, Here, data covers a longitudinal study. There will always be just one version of the register available. For example, UDD, which contains Highest educational attainment. Or BEFADR, which is an address key register (where e.g. 1.4m addresses changed key on 1 January 2007 in connection with the local government reform). When a longitudinal register is updated, the individual dataset is updated. This is why there is always only one dataset for a longitudinal register., Data definition: The definition of longitudinal data is that data contains a start date and an end date., Incident, Here, data covers an incident. For example, UDFK, which contains primary and lower secondary school marks (does not include a date but a school year), or OPHGIN (basis of right of residence for immigrants). When a longitudinal register is updated, the individual dataset is updated with new incidents. This is why there is always only one dataset., Data definition: The definition of incidents is first and foremost that data contains a date - only one date - for the occurrence of the incident, and will usually also have one incident type attached., Documentation for the use of registers and data packages, Statistics Denmark has prepared a memo describing the coherence between several of the most used registers in Statistics Denmark’s microdata scheme and their connection with the published statistics., The social statistics registers in Statistics Denmark consist of comprehensive data collections, which have been built and extended since the early 1980s. Data is of high quality and comprises the whole population. This gives the users of data unique possibilities of analysis, allowing them to analyse both status at a given point in time and the development over time., The memo is primarily intended for researchers, analysts and other users of microdata who want to obtain deeper insight into the quality of the coherence between the different registers. , Read more on Documentation for the use of registers (in Danish), Datapackages (pdf - in Danish), Especially on the Data Warehouse for Business Statistics, In January 2024, Statistics Denmark launched the new Data Warehouse for Business Statistics – a significant extension and improvement of the existing business registers. , The new warehouse ensures wider and better access to anonymised data on enterprises and facilitates extraction of unique data by linking data across more statistical registers. The data warehouse also facilitates linking of business statistics and social statistics at micro level, the so-called ‘Linked Employer-Employee Data’ (LEED). , Read more in , this brochure (pdf), or see , the presentationen of The Data Warehouse for Business Statistics on 30 November 2023 (pdf), .

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/registre-og-referencetyper

About microdata schemes

Denmark's Data Portal makes data available to authorised institutions for specific research, fact-finding and analytical tasks. Access to data can be granted under various data schemes depending on the institution or the project to which you seek access., The researcher scheme , Researchers and other analysts from authorised institutions can create a project with access to Statistics Denmark’s register data. , Read more about authorisation of institutions, The project database scheme , The project database scheme is intended for institutions that are continuously creating projects with significant overlap in data content. Under this scheme, it is not allowed to carry out research directly on the project database, and the scheme must not be used for projects or tasks that are not directly related to the purpose of the project database. Furthermore, the institution must have one or more employees at who can serve as project database managers, of whom at least one can functions as an administrator. The duties of the project database manager include population generation, data extraction etc. as well as ongoing communication with Statistics Denmark., If you want to apply for a project database to be set up, you must contact the Project database group at , FSEProjektdatabase@dst.dk, ., More on the project database scheme, An authorised institution can have a maximum of one project database. The project database is a collection of pseudonymised microdata. It is used over time for multiple projects (called subprojects) under the relevant project database scheme., For the project database, data is selected from Statistics Denmark’s databank of basic data and, if relevant, data from other sources (such as the institution’s own data). The data content in project databases is subject to the data minimisation principle, and for that reason, data in a project database must be applied in several subprojects., In the project database scheme, the project database is called the main project. Other projects in the project database scheme are subprojects of the project database. The authorised institution that owns the project database therefore owns both the main project and the subprojects in the scheme., The target group of the project database scheme is institutions that:, are authorised for microdata schemes at Statistics Denmark., have at least five active projects with significantly overlapping data., continuously extend their project portfolio with new subprojects with significant overlap in the underlying data., Terms of a project database scheme, Project databases are subject to the following terms:, The institution is required to appoint one to three experienced project database managers who will be the assigned liaison officers with Statistics Denmark. Only project database managers get access to the actual project database., The project database and subprojects are subject to the data minimisation principle., The user must pay for all costs associated with the creation, operation and maintenance of the relevant project database. Subprojects are considered regular projects and are handled and invoiced separately., You can keep a project database going for as long as it is used for active subprojects. The project database can only be preserved as long as it is used for subprojects to an extend that is consistent with the data made available in the project database. The project database can thus be limited or discontinued if Statistics Denmark estimates that this is no longer the case., The authority scheme, The authority scheme makes microdata available to Danish institutions that carry out tasks for the authorities, i.e. departments, agencies and directorates, regions and municipalities. The scheme meets the demand for ad hoc analyses with tight deadlines. , Read more about the Authority scheme, (in Danish), Data confidentiality and access rules, Access to data is given in agreement with the principles of the General Data Protection Regulation, especially article 5(1)(c): , “Personal data shall be adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed (‘data minimisation’).” , This also applies to section 10 of the Danish Data Protection Act: , “Data as mentioned in Article 9(1) and Article 10 of the General Data Protection Regulation may be processed where the processing takes place for the sole purpose of carrying out statistical or scientific studies of significant importance to society and where such processing is necessary in order to carry out these studies.” , Read more on Statistics Denmark’s Data confidentiality policy and Information security policy

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

Data Access for Educational Institutions

Through Statistics Denmark’s Thesis Scheme, public educational institutions can give their students access to pseudonymized microdata for use in thesis projects. On this page, you can find guidance materials and read more about the Thesis Scheme., Thesis Scheme – Data Access for Thesis Projects, The Thesis Scheme is the newest addition to Statistics Denmark’s microdata scheme. The scheme allows approved public educational institutions in Denmark to grant thesis students access to pseudonymized microdata for use in thesis projects. To gain access, , the thesis project must have a research-level focus, ., Note, : If you, as a student, wish to access pseudonymized microdata for your thesis project, please contact your educational institution to learn about the available options., Which Institutions Can Access the Thesis Scheme?, Educational institutions that offer master’s programs ending with a master’s thesis (typically 30–60 ECTS). The educational institution must be affiliated with a faculty, institute, or center under one of eight publicly recognized research universities in Denmark*., University of Copenhagen, including affiliated university hospitals such as Rigshospitalet., Aarhus University, including the AUH University Hospital in Skejby., University of Southern Denmark, including Odense University Hospital., Roskilde University., Aalborg University, including Aalborg University Hospital., Technical University of Denmark., Copenhagen Business School., IT University of Copenhagen., *If other institutions offering master’s programs in Denmark wish to establish an educational authorization, they can apply by sending a description of the institution and its needs to , danmarksdatavindue@dst.dk, ., How Does the Application Process for the Thesis Scheme Work?, To gain access to microdata under the Thesis Scheme, the educational institution must have an educational authorization with Statistics Denmark., Reference is made to the current rules for authorization, and the institution must be one of the educational institutions listed above to obtain an educational authorization., Statistics Denmark - Authorisation of Institutions, If you have questions about applying for educational authorization or need guidance, you are welcome to contact Denmark's Data Portal at , FSEautorisation@dst.dk, ., Please include "Regarding Statistics Denmark’s Thesis Scheme" in the subject line so that we can process your inquiry as quickly as possible., Which Data Does the Scheme Provide Access To?, The program provides access to pseudonymized microdata under the same conditions as the researcher scheme within Statistics Denmark’s microdata schemes, except that each educational authorization may create a maximum of five broad projects., Pseudonymized microdata are personal and business data where all identifying information, such as names, identification numbers (e.g., CPR and CVR), and addresses, have been removed., Price, The fee for the Thesis Program is lower than for the other microdata schemes offered by Statistics Denmark. For more information, see the document below: "Rules for Access to Pseudonymized Microdata under Statistics Denmark’s Thesis Scheme.", Rules for Access to Pseudonymised Microdata under Statistics Denmark’s Thesis Scheme, Special rules apply for access to pseudonymised microdata under Statistics Denmark’s Thesis Scheme. Please read more about these in the document below (in Danish)., Regler for adgang til pseudonymiserede mikrodata under Danmarks Statistiks specialeordning (pdf), Guidelines on Data Security and Agreements, Data confidentiality is a fundamental prerequisite for the existence of Statistics Denmark’s microdata schemes, including the Thesis Scheme. All datasets made available under the scheme are confidential. Therefore, as authorised educational institutions and users, you are obliged—through agreements with Statistics Denmark—to act in accordance with Statistics Denmark’s rules and guidelines. Below you will find the agreements and documents you are required to comply with., Statistics Denmark’s Information Security and Data Confidentiality Policy, Information security and data confidentiality policy – Statistics Denmark, Guidelines on Special Data Security Rules under the Master’s Thesis Scheme, The guidelines set out the rules and requirements that apply to Statistics Denmark’s Thesis Scheme. These rules constitute an adapted version of the general provisions that apply to all of Statistics Denmark’s microdata schemes. For the release of analysis results and in the event of breaches under the Thesis Scheme, the rules in these guidelines apply (in Danish)., Vejledning - Datasikkerhedsregler under Specialeordningen herunder regler for hjemtagning af analyseresultater og sanktioner ved databrud (pdf), Agreements, The Authorisation Agreement, Affiliation Agreement, and User Agreement must be signed and can be found , under the heading “Other agreements, documents, and guides (in Danish).”, Questions about the Program?, If your educational institution has questions about the program, its setup, the process, fees, etc., you can direct them to Denmark's Data Portal. Please include ", Regarding Statistics Denmark’s Thesis Program, " in the subject line.

https://www.dst.dk/en/TilSalg/data-til-forskning/mikrodataordninger/data-til-uddannelsesinstitutioner

Certification of users

All users working with data in one of Statistics Denmark’s microdata schemes must achieve certification. The certification ensures that everybody knows the data security rules under Statistics Denmark’s microdata schemes and feels safe using and transferring data. To ensure continued high focus on the data security rules, all users must subsequently achieve re-certification once a year., , Certification in practice, In practice, the certification takes place via DDP App, where you must pass a test with questions on the data security rules described in , Denmark's Data Portal's data security rules under the microdata schemes (pdf), . It is a good idea to read the rules before you start. You have three attempts per day to pass., See the video guide for user certification (in Danish), This is how you do it:, Log into DDP App with your three/four-character ident and password., On your landing page, select the window ‘Learning and certification’. , Then select the tab ‘Certifications’. If it does not drop down automatically, click the small blue arrow., Answer the certification questions by clicking ‘Start certification’ and ‘OK’ in the info box that pops up., Answer the questions by clicking the option you believe to be correct., When you have answered all the questions, you click the button ‘Submit answer’, which has turned blue meanwhile., If you answer all ten questions correctly, you have passed the certification and you are considered able to handle data in accordance with our data security rules., Under ’Result’, your status will be indicated as ’Passed’, and a green info box appears with the text ’Congratulations, you have passed’., Under ’Resultat’ vil din status figurere som ’Bestået’, og der vises en grøn infoboks med teksten ’Tillykke, du har bestået’. , If you do not answer all ten questions correctly, you can see under ’Result’ how many questions you answered incorrectly in your attempt and how many remaining attempts you have. Furthermore, a red info box appears with the text ‘Sorry, you have not passed’., a) If you have more attempts left and want to re-take the test, press ’Certification front page’ and start over. Note that you have three attempts per day and that the questions change from time to time. Consider re-visiting the data security rules, before you try again., b) If you do not have any attempts left, your access to your projects will be locked for 24 hours. The small watch icon indicates when the 24 hours are up. After that, you can take the test again., The certification questions, The test contains questions about the data security rules (, data security rules under the microdata schemes (pdf), ). Since Statistics Denmark’s data security rules may differ from the practice in other institutions, it is important to read and know the rules under the microdata schemes. Knowing the rules is also the basis for answering the ten certification questions correctly. , Read more about the data security rules under Rules on transfer of analysis results , The questions are about access to researcher machines, pseudonymisation, transfer rules and working in general with data. Below you will find an example of a question that you can encounter in the certification test:, Question 1:, You have collected a survey that you are working on locally. You have registered the survey with the Danish Data Protection Agency, so the permits are in place. You have also sent the survey to Statistics Denmark to have the option of linking the survey with register data on the researcher server. Which is the correct statement?, Reply options:, a. You are allowed to download/transfer microdata from the survey that you have uploaded yourself., b. The only microdata you are not allowed to transfer, is microdata provided by Statistics Denmark to your project., c. Retrieval of microdata is never allowed regardless of data source.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/certificering-af-brugere

Access to business data

Business data refers to data on Danish enterprises and Danish trade and industry. This page gives an overview of who can get access to business data from Statistics Denmark and the possibilities to apply for an exemption to get access. , Business data and business data with limited access, Business data from Statistics Denmark covers a wide range of data on industries and data on the size, location, accounts, employment, development over time, etc. of Danish enterprises. Some types of business data involve competition- and market-sensitive information, which is why access is limited. For example when data concerns the activities or financial affairs of enterprises., See the overview of business data with limited access in Statistics Denmark (Excel, in Danish) , Note, : To protect competition- or market-sensitive information, business data with limited access is not available until at least one year after the reference year., Business data – who has access?, A person can get access to all (pseudonymised) business data in Statistics Denmark, including business data with limited access, if that person has an approved association agreement with a Danish institution that is authorised under Statistics Denmark’s Research scheme and that is , a Danish public institution, or , a private Danish institution in the category “interest organisation, think tank, etc.”, ‘Danish institution’ means an institution within the national community of Denmark, Greenland and the Faroe Islands. You can find the special rules for Greenland and the Faroe Islands under , Authorisation of institutions, ., Business data with limited access – who does not have access?, Generally, people employed in Danish private consultancies may not get access to business data with limited access., People employed by other Danish or foreign private companies (such as banks, pension funds and insurance companies) or by foreign consultancy firms are not permitted to access business data with restricted access., Business data with limited access – who can apply for an exemption? , In connection with specific projects, Danish private consultancies that do not have access in general to business data with limited access can apply for an exemption. This is only an option if: , the data controller institution for the project is a public, Danish and authorised institution (see “a” above) or , the data controller institution for the project is a private and Danish institution in the category “interest organisation, think tank, etc.” (see “b” above) or, the data controller institution for the project is a public, Danish institution and an institution authorised as a client, which engages a private consultancy to perform an analysis for the institution for which business data with limited access is needed and the consultancy’s authorisation does not grant access to this data. , Read more under Authorisation of institutions, Apply for an exemption , If you are eligible to apply for an exemption (and thus comply with item 1, 2 or 3 above) and want to apply, please inform the project owner in Statistics Denmark early in the project proposal process. This ensures that the project owner can take this into consideration during the approval of the project proposal. , Furthermore, you need to complete the request template from Statistics Denmark and send it to your project owner, when the project for which you are applying for business data with limited access has been approved., Template for request for exemption for business data with limited access (docx, template only available in Danish), Note, : The request template must be adjusted with your own official business stationery design, signed and sent (in Word or PDF format). If you need help filling in the template, for example purpose and description, you can consult Statistics Denmark’s guide on , how to create a project proposal, . , Request for exemption – how does it work?, For every request for exemption, Statistics Denmark makes a thorough assessment in four steps: , When the project proposal has been approved, the data controller institution completes a request template, adapt it with their own official business stationery design, sign it and send it to the project owner in Denmark’s Data Portal., The project owner in Denmark’s Data Portal assesses if there are grounds for an exemption. Note: The criteria for approval are the same as for a project proposal. , Read more in How to create a project proposal, The project owner in Denmark’s Data Portal sends the request for exemption for approval by the Director General of Statistics Denmark., When the request for exemption has been approved, the approval is returned to the data controller institution and the consultancy charged with the task., If you have questions about exemption, please contact , danmarksdatavindue@dst.dk, or your project owner in Denmark’s Data Portal. In the subject field, you should write: , ’Project number xxx - Re. exemption with respect to business data with limited access’, .,

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

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in the DDP App. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. , , When Denmark’s Data Portal must create the population, If Denmark’s Data Portal is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in the DDP App, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Denmark’s Data Portal have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Denmark’s Data Portal prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Denmark’s Data Portal uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Denmark’s Data Portal creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or additional data to be used , Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register, , Especially about case control populations , Denmark’s Data Portal uses the term 'case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in the DDP App, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Denmark’s Data Portal, a detailed extraction description of the case control population is prepared. The final extraction description is attached as an appendix to the project proposal. Please note that the DDP App only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

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