Search result

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 external 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

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

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

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

Data from data providers to the databank of basic data

Here you can read about the guidelines for receiving data intended for publication in the databank of basic data of Denmark’s Data Portal (DDP)., If a statistical authority wishes to have its data published in DDP’s databank of basic data, the authority must contact DDP at , ddvgrunddatateam@dst.dk, . DDP will arrange an initial meeting with the statistical authority to discuss the overall characteristics of the register, including dataset size, number of tables, update timing and frequency, timeline, and conditions for publication in DDP databank of basic data. If desired, Statistics Denmark’s (DST) Data Protection Officer (DPO) may be invited to participate in the meeting., DST enters into data transfer agreements with all external data providers in order to transfer data ownership and responsibility to DST. These agreements specify update formats and frequencies, handling of data breaches, and related matters., After this, communication becomes more detailed, covering topics such as naming of the register and how data will be transferred to DDP. The formats must comply with the quality requirements listed below., Receiving External Data, DDP prefers data delivery via transfer to an SFTP server. DDP provides guidance and assistance in setting up this process. Other delivery methods are also possible., Data Types and Quality Requirements for Data to Be Included in the databank of basic data, All data must comply with a set of requirements and standards regarding formats, naming etc. This ensures that data is presented in a uniform, standardized, and easily accessible way. Data are combined across registers and across time, and to make this possible, DDP requires data to be standardized both across registers and over time., When creating data, the provider must ensure that they comply with the general guidelines for establishing Basic Data in DDP., Variable types, lengths, and names, Data types relate to the content of the variable. The following describes how to determine the appropriate data type for a variable., Keys and Identifiers, Keys and identifiers should have the same names across all data series. They must all be defined as character variables, and when they contain purely numeric content, they must include leading zeros (see below)., They must also have an accurate and precise length specification corresponding to the maximum value of the content, and the length must remain consistent over time., Examples (Name, Variable Type, Length):, PNR — CHAR 10, CVRNR — CHAR 8, SENR — CHAR 8 (leading zeros), JOURNR — CHAR 16, RECNUM — CHAR 16, EJENDOMSNUMMER — CHAR 6 (leading zeros), ADRESSE_ID — CHAR 8 (leading zeros), There are, of course, more keys and identifiers than those listed above. DDP is happy to advise on their correct setup., Character Variables – Classifications, Classifications such as SEX, AGE, MUNICIPALITY, and MARITAL STATUS, where the value can be translated into text via a code-text table or format description, must be defined as character variables. Most variables will fall into this category. These fields must also have an accurate length specification, and fields with length > 1 must include leading zeros when they contain purely numeric content., Numeric Variables – Calculation Variables, Variables that can be used for calculations—such as quantities, sums, amounts, or counts—must be numeric. The variable must have an accurate length specification corresponding to the maximum value., For example, AGE should be defined as CHAR(3), as the maximum value may exceed 100. Example of content with leading zeros: AGE = 001, 010, 100., Date Variables, Date fields may be pure dates, but where time information is relevant, they may also be of the timestamp type., Variable Names, Variable names must not contain the Danish characters Æ/æ, Ø/ø, or Å/å., Missing Values in SAS, Variable Type    Missing in SAS, Numeric              . (period), Character           '' (empty string), 1.Numeric variables , A period (.) can be processed in SAS when it is a numeric variable., 2.Character variables , An empty string ('') indicates that the variable is character but contains no value. Values such as “Unknown”, “None”, or 0 must , not, be used. , Documentation requirements for external data to be included in databank of basic data, The external data provider must supply register and variable documentation when the delivery agreement is established. The documentation is published in the DDP App and on DST’s website. Documentation can be uploaded via the Metadata Loader. Guidance can be provided upon request., Variable descriptions are published in the DDP App after the documentation has been uploaded, allowing users to find the relevant information when ordering data., Additional descriptions of the basic data register are published on DDP’s website under , Data from other sources, , where the register receives its own section., In addition to the documentation mentioned above, the data provider is also required to keep DDP informed about data breaches, changes in reporting, changes in legislation, etc. A written notification is required so that DDP can pass the information on to users or add it to the website. This is further specified in the data transfer agreement prepared between the data provider and DDP.

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/data-fra-dataleverandoerer-til-grunddatabanken

Thesis Scheme 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 Master's thesis scheme is one of Statistics Denmark's microdata schemes where Master's thesis students at public Danish educational institutions may be granted access to delimited pseudonymised microdata for Master's thesis projects. ., Note, : As a Master's thesis student, you may merely get access to pseudonymised microdata via the Master's thesis scheme provided your educational institution already has established a Master's thesis scheme. Reach out to your counselor to hear more about the possibility to access microdata through the Thesis Scheme in regards to your Masters Thesis. , 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, ., Read more about , Rules for access to pseudonymized microdata under Statistics Denmark's thesis scheme (in Danish, pdf), ., How Does the Application Process for the Thesis Scheme Work?, In order to gain access to microdata under the Master's thesis scheme, you as an educational institution must first apply for an educational authorisation from Statistics Denmark. Reference is made to the current rules for authorisation (also look at the specific requirements to obtain an educational authorisation)., 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 , DDVautorisation@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?, Having obtained the educational authorisation, you apply Statistics Denmark for maximum of five broad projects with pseudonymised microdata, covering relevant themes in the Master's degree programme (see , Project proposal,  and , Broad projects, )., Pseudonymised microdata is personal and business data where no identifying information such as identification numbers (e.g. CPR and CVR) are recognisable., 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).”, 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 above: 'Rules for Access to Pseudonymized Microdata under Statistics Denmark’s Thesis Scheme.', Questions about the Master's Thesis scheme?, As educational institution you may direct any questions about the Master's Thesis Scheme, its establishment, the process, prices, etc., at , danmarksdatavindue@dst.dk, Please write "Regarding Statistics Denmark's Master's Thesis Scheme" in the subject field.

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

Organic food imports and exports

How big is Denmark's export and import of organic food? Which organic foods do we import the most?

https://www.dst.dk/en/Statistik/emner/miljoe-og-energi/oekologi/import-og-eksport-af-oekologiske-foedevarer

Subject page

ENE2MU1N: Direct and indirect use of energy

industry, type of energy, multiplier, price unit and time
1990-2024 (-)

https://www.statbank.dk/ENE2MU1N

Tables in StatBank

NAIO4F: Input-output table. Totals of supply by use and price unit. (69 industries)

type of supply, use, price unit and time
1966-2024 (m DKK)

https://www.statbank.dk/NAIO4F

Tables in StatBank

REGN80: Accounts statistics (DB07)

region, industry, items and time
2019-2023 (-)

https://www.statbank.dk/REGN80

Tables in StatBank