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Volunteers and charity

How many do voluntary work?, Note: Below, we provide links to Statistics Denmark and others who make statistics on the subject. In some instances, the sources reffered to below have content in Danish only or limited content in English., The latest Cultural Habits Survey from 2024 by Statistics Denmark’s  includes questions about voluntary work. The tables are broken down by frequency, sex, age and domain in which the voluntary work is performed. See the table , KV2FR1, in StatBank Denmark for frequency and the table , KV2FR2,  by area of work, and , LABY58,  broken down by municipality groups., In the annual publication ", Kultur, " (in Danish) there is a chapter on voluntary work., Statistics Denmark’s survey about participation in voluntary work in 2015 is available in our news series ", Nyt fra Danmarks Statistik, “ (in Danish)., An article from Statistics Denmark’s journalistic series , Bag tallene, (in Danish) from 2019 is it examined in which domains the population is doing voluntary work., The Danish Institute for Voluntary Effort,  is a national centre for development, competences and knowledge for volunteering in the social welfare sector. Since 2010, it has published a report on volunteering – , Frivilligrapporten, (in Danish). The latest issue of the report is ", Det frivillige sociale engagement i Danmark. Frivilligrapport 2019-2021, "., The National Council for Volunteering, has surveys and news (in Danish) on voluntary work and organisations. [Due to the closure of the National Council  for Volunteering on December 31, 2025, the website will no longer be updated and will close permanently on March 31, 2026., At the website of the Ministry of Culture Denmark, you will find the survey ", Danskernes kulturvaner 2012, " (in Danish) on the cultural habits of Danes. Chapter 8.4 is about voluntary work., VIVE - the Danish Center for Social Science Research has published the report ", Frivillighedsundersøgelsen 2024, " (in Danish), which looks into the development in the Danes’ voluntary work. VIVE has previously published ", Ældres Frivillige Arbejde, " (in Danish), which examines volunteering among the elderly in the period 1997-2017., SFI, now VIVE, published the report ", Udviklingen i frivilligt arbejde 2004-2012, " (in Danish) mapping volunteering in Denmark 2012 and comparing it with the first survey from 2004., Each year, , Deloitte and the association of fundraising organisations ISOBRO, make an analysis (in Danish) of the development in the revenues of Danish fundraising organisations., [This page was last reviewed in January 2026]

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

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

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

The research machine

Users of the microdata schemes can choose to do their work on Statistics Denmark’s research machine – a server that can accommodate several separate projects. , Here you can find guides for set-up, login and use of Statistics Denmark’s research machine:, Connection to Researcher servers at DST - Windows users, Connection to Researcher servers at DST - Mac users, Connection to Research Servers at DST - Linux Users, How to change your password, How to reset your password, Connection to research servers at Statistics Denmark from abroad,  , Use of disk space by the projects, In the below overviews of disk space (in Danish), you can see how much space your research project has taken up on the research servers in recent years., Diskforbrug 2025, 1-2. kvartal, Diskforbrug 2024, Diskforbrug 2023, Diskforbrug 2022, Diskforbrug 2021, Diskforbrug 2020, Diskforbrug 2019, Diskforbrug 2018, Diskforbrug 2017, Diskforbrug 2016, Diskforbrug 2015, Diskforbrug 2014, Diskforbrug 2013, Diskforbrug 2012, Diskforbrug 2011, Diskforbrug 2010, AI Tool for Code Assistance, On the research machine and hosted servers, An AI-based code assistance tool has been developed. The purpose of the tool is to help users of Denmark’s Data Portal with various programming tasks. The tool allows you to prompt a model that helps you write and understand a wide range of programming languages, including SAS, SPSS, Python, Stata, and R, which are the five languages supported on the research machine., How to get access, Log in to the research machine:, The AI code assistance tool is located on the research machine. To gain access start by logging in to the research machine via remote.dst.dk., Open the AI-tool:, Click on the icon named “AI-code help”, which is on the desktop., Log in to the AI tool:, After opening the AI-tool, a page will appear asking for login information. Here you must use your project-IDENT (without @dstfse.local) and your Windows password., Once you have done this, you will have access to the AI tool’s main page, and you can begin prompting. Please note that even though the tool runs locally on the research machine, , you must not enter sensitive personal data or any other information that may be considered confidential, . The tool is intended solely for code assistance., The model underlying the tool is the publicly available qwen2.5-coder, produced by the company Ollama. If you want more information about the model’s functionality, we refer you to Ollama’s website.

https://www.dst.dk/en/TilSalg/data-til-forskning/analyseplatform/forskermaskinen

NABB19: Employment (19a2-grouping)

socioeconomic status, industry and time
1966-2024 (-)

https://www.statbank.dk/NABB19

Tables in StatBank

SPOP2K: Indices of Service Production

industry, seasonal adjustment and time
2021Q1-2025Q3 (Index)

https://www.statbank.dk/SPOP2K

Tables in StatBank

VANDRG1: Abstraction of water (Physical water accounts)

industry, water type and time
2010-2024 (1,000 m3)

https://www.statbank.dk/VANDRG1

Tables in StatBank

Component 1: Integrated administrative data system

Activity 1.0.B - Template for business case and assessment of service provider - Statistics Denmark (ENG)

https://www.dst.dk/en/consulting/projects/jordan-2022-2024/component-1-integrated-administrative-data-system

Taxes and duties

Taxes on goods and services, total

https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/skatter-og-afgifter

Subject page

AKREGN: Accounts statistics for aquaculture (discontinued)

unit, farm type, items and time
2009-2020 (-)

https://www.statbank.dk/AKREGN

Tables in StatBank