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Create association agreement and mail domains

As an administrator, you can create association agreements for users to your institution. It is only possible to create association agreements once the institution’s email domains have been registered in DDV App (see further down the page)., How to create an association agreement for users:, Click the tab ’My overview’ on your start page. Then select the institution where the user must be created., Click the tab ‘Associated users’. To the left of ‘Associated users’, you click the ‘+’ icon., Here you can add a pre-existing user by searching for the user, select the person and then click ‘Create association agreement’. If the user does not exist, go to step 5., Subsequently, a person responsible for authorisation or a substitute must approve the association agreement. This is done at the top of the institution under ‘Association agreements pending approval’., If the user does not exist, click the button ‘New user’. You must now complete the form with the correct information. If you choose a physical token, the user cannot be associated with the project until you have received the token by mail. Please note that physical tokens are only sent to addresses in Denmark., Press ’Create association agreement’. Denmark's Data Portal approves requests for new users on all working days., Once Denmark's Data Portal has given their approval, a person responsible for authorisation or a substitute must approve the association agreement. This is done at the top of the institution under ‘Association agreements pending approval’., If the person responsible for authorisation or the substitute wants to terminate an association agreement, he or she must click ‘My overview’ followed by ‘Institutions’. Then search for the name to find the relevant user, and click the three dots next to the user’s name. Click ‘Terminate’ to terminate the association agreement., Define the institution’s email domains, The responsible for authorisation or substitute defines which email domains the institution can approve. Please ensure that you only select domains that your institution controls., How to manage which email domains the institution can approve:, Click the tab ‘My Overview’ on your start page. Then select the institution for which you need to define email domains., Click the three dots next to the institution’s name and select ‘Manage domains’., Click the ‘+’ icon next to ‘Approved email domains’., Enter the domain name in the field next to ‘Register domain’. It is not necessary to register subdomains., Users with an email address belonging to an approved domain from another institution can be associated without registering their domain under your institution. Therefore, only register domains that your institution controls.

https://www.dst.dk/en/TilSalg/data-til-forskning/brugeradgang/opret-tilknytningsaftale-og-maildomaener

Statistics based on roads and addresses

Reach your target audience with statistics on roads and addresses, This product allows you to rank roads or streets in a particular geographical area according to where you are most likely to hit a specific audience., Get assistance selecting roads, The product is designed for those who want to reach a specific target group, for example in connection with marketing or other promotional activities. For example, if your company manufactures child bike seats, then this product will help you to only distribute advertising matter on the roads where there is a high proportion of families with at least one child under four years., Multiple options, You can rank the roads or streets in many different ways, for example after the following variables:, household income, educational level, age or sex, List of variables, Documentation - standard variables for statistics on roads and addresses, Combine information, You can also combine the different variables in order to reach exactly the target audience of your interest. Again, if you sell child bike seats at the high end of the market, you can combine the number of families with at least one child under four with a level of household income., Statistics based on roads and streets step by step, Roads are ranked based on statistics, All households are first divided into smaller groups according to the type of road where they are located and, if relevant, according to the type of house. Subsequently, households are grouped into clusters or groups of at least 400 households, which then form the basis for statistics, e.g. household income in intervals. The clusters of households can be formed in three different ways in increasing detail and thus also in precision., The level of detail is also reflected in the price. You can read more about how we create household clusters here:, How do we create clusters, Household clusters with type of housing, Household clusters without type of housing, Prices, Prices per variable vary between approx. DKK 10,000 for the simplest ranking for one municipality to approx. DKK 70,000 for the most detailed variant for the entire country. See the detailed price list here:, Pricelist_RoadsAddresses_2026 - English,  , Ordering, Please click on the button below and fill out 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, Allan Hansen, tel: +45 3917 3168, Related products, Statistics on the Danish national grid, Staistics based on distances or neighbourhoods,  

https://www.dst.dk/en/TilSalg/produkter/geodata/vejsegmentering

Statistics based on distances or neighbourhoods

Define your own statistical areas, In addition to statistics on administrative units such as regions and municipalities, smaller units such as postcode districts, parishes or school districts, you can also get data for analyses of geographical areas that you define yourself., Statistics on an area within a certain range from a point, A typical example of such an area is an area whithiin a certain range from a point on the map. The "point" can be a shop, a hotel, a railway station or a public institution and the periphery you define as a distance, for example, in kilometres from this point., You can define the distance in three ways: , as the crow flies, along established roads, as driving time by car along established roads., Specify the statistical data you want, Once you have defined the geographical area, you can add the statistical data you want. For example, it can be as simple as the number of people in the area in a certain age group, or the number of households with children under the age of six., Find inspiration to define your geographical area, You can also define a geographical area based on other criteria, such as areas bounded by physical barriers and lines. These can be areas of the cities or the open land you demarcate by using city limits, field boundaries, edges of forests, bridges, railroads, dams, highways, roads, streets, streams, lakes and coastlines - in short, everything you perceive as a transition from one area to another., You can also deifne an area on geometric shapes, such as circles, triangles, squares, and many-sided polygons where you define the centre or the corners by geographical coordinates, buildings, addresses or the like., There are many ways to delimit an area – the only limit is your imagination! The only requirement is that the size of an area must comply with the rules of discretion, ie. we cannot disclose statistics that make it possible to identify any individual or any individual company., Prices, The price depends on both the number of areas and the variables for which you want statistical data. Please contact DST Consulting for a specific quotation., Contact information, DST Consulting, tel. +45 3917 3600, Allan Hansen, tel: +45 3917 3168, Related products, Statistics for the Danish national grid, Statistics based on roads and streets,  

https://www.dst.dk/en/TilSalg/produkter/geodata/oplands-ogafstandsanalyser

Documentation of data

Denmark’s Data Safari, Denmark’s Data Safari is a function that allows you to explore the data that you can order via DDP App. This is data documentation from Statistics Denmark’s Databank of basic data and data from other sources that you can order via DDP App. You can search for registers and e.g. find information on latest reference date and next expected update. You can also search for variables and find descriptions of variables. Note that the Data safari does not give you access to data, it is simply a way for you to get an idea of the data that you can request as a user., Go to Denmark’s Data Safari, High-quality documentation, High-quality documentation is an extension of the existing documentation in Statistics Denmark, including the documentation that you can find in Denmark’s Data safari. The extension element is the inclusion of the historic dimension in the documentation for the individual variable. In the historic dimension, any data breaches and validity periods are described and the population is indicated., For relevant variables, a graph and a table are attached. The same template for documentation is used for each variable., The high-quality documentation has been prepared in collaboration between Statistics Denmark and KOR (coordinating organ for register research). The quality control is carried out by external examiners appointed by KOR., Read more about the application of the high-quality documentation (pdf, in Danish),  , Go to the high quality documentation, More on variables, classifications and concepts , You can find more descriptions of Statistics Denmark’s data and variables on the page , Variables (in Danish), , and under , Classifications, , you can see the classifications/nomenclatures on which we found our statistical production. Finally, under , Concepts, , you can find the descriptions of common concepts and definitions. , Documentation of statistics, Statistics Denmark’s production includes more than 250 statistical products, which are organised into 17 subject groups., Each of the statistical products is described in the documentation of statistics, which provides an account of the content and quality under the following headers:, Administrative particulars about the statistical product, Contents, Time, Reliability and uncertainty, Comparability, Accessibility, Go to the Documentation of statistics, Statistiske Efterretninger, 'Statistiske Efterretninger' (statistical news) were released in the period 1909-2022. The series contains annotated and elaborate communication in text, figures and tables and consists of an old part of cross-disciplinary subjects (1909-1982) and a more recent part broken down by subjects and series (1983-2022). , Find 'Statistiske Efterretninger' under Historiske publikationsserier (in Danish)

https://www.dst.dk/en/TilSalg/data-til-forskning/generelt-om-data/dokumentation-af-data

Full register extraction for public institutions

Public institutions can order full register extraction for their projects – meaning all observations in the register – if they need it. This is a result of Denmark’s Data Portal wanting to give projects enhanced capabilities for running several iterations of populations, continuously quality assuring analyses and being more exploratory in data analyses., This enables the projects to:, create populations, create controls for populations created in , Denmark’s Data Portal, create sub-populations of basic data for enrichment of external populations, In the project proposal, the population must be described shortly and precisely (without technical terms, details or data specifications), and it must be documented who creates the population. We are happy to give you advice on which registers that could be necessary to order.,  , Examples of requests for full register extraction, ’The population consists of all senior-class pupils who left school between 2010 and 2020. We want to create the population ourselves.’, ’The population consists of patients with femoroacetabular impingement syndrome (FAIS) who have received hip arthroscopic treatment. Ten matching controls are created per case. We want to create the population ourselves.’, ’The population consists of all economically active persons in Denmark. We want to create the population ourselves.’, ’The population consists of pupils in primary and lower secondary school who have participated in our user satisfaction survey on public schools in Denmark. We want to create control populations ourselves and thus want a full population.’ , ‘The population consists of all retail businesses in Region Zealand. Statistics Denmark creates the population. We want to create control populations ourselves and thus want a full population.’, ’The population consists of all general medical practitioners and the rest of the population as control population. We want to create the population ourselves.’,  , Populations for external data providers , External data providers, such as the Danish Health Data Authority, may require a delimitation of the population. For example, this applies for access to the Danish pharmaceutical products database (LMDB). In these cases, you can still create the population yourselves, which Statistics Denmark will then forward to the Danish Health Data Authority or use for data extraction., If , Denmark’s Data Portal,  creates the population , If you do not have the resources to create populations or control populations, , Denmark’s Data Portal,  can carry out this type of assignment. This is done on the basis of a framework agreement., Read more about this process under Population description, Note: The facilitated access to full register extraction is a pilot project running throughout 2025.,  

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/fuldt-registerudtraek-til-offentlige-institutioner

StatBank API

With Statistics Denmark's API, you can use our StatBank's open data directly in various own applications.

https://www.dst.dk/en/Statistik/hjaelp-til-statistikbanken/api

JORD3: Profit and loss accounts for part-time farms (average)

type of farm, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD3

Tables in StatBank

JORD1: Profit and loss accounts for all farms (average)

type of farm region standard output, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD1

Tables in StatBank

JORD2: Profit and loss accounts for full-time farms (average)

type of farm annual work units, quartile group, items and time
2008-2024 (Avg.)

https://www.statbank.dk/JORD2

Tables in StatBank

Elections

You can borrow other volumes from or read other volumes at Statistics Denmark’s Information service and library or at your local public library.

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