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      Home equity

      The statistics on the real estate of the households include market values on real estate, cooperative apartments and cars. The market value calculated using actual sales on the market. The wealth statistics can be used to identify the characteristics for the owners of real estate. , Introduction, The statistics throw light on the distribution of wealth related to real estate around the country, how it has developed over time and which municipalities that have been hit hardest by the financial crisis. It is possible to carry out a distribution analysis if the statistics is merged with registers containing information on individual’s income, socio-economic, geographic and educational characteristics. , Documentation, The market value on real estate is compiled by merging several administrative registers containing information on real estate. The business register is used to delimit the population to only include individuals and sole proprietorships in the household sector. , Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Market Value for Households Real Estate, Key figures, In Statbank Denmark, you can find more data on Real estate market value (EJDFOE1), In Statbank Denmark, you can find more data on Wealth in real estate and loans for families (EJERFOF1), Related content in Home equity, Tables in Statbank , Scheduled releases , Contact, Mikkel Bjerre Trolle, Phone: +45 29 36 68 25, Mail: , mit@dst.dk

      https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/formue/husholdningernes-formue-i-fast-ejendom

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      Not in Employment, Education or Training (NEET)

      Register-based indicator for the share of young persons from 16-24 years who are not in education, employment, or training (NEET). , Introduction, NEET is an acronym for "Not in Employment, Education or Training", and this set of statistics accounts for the number of young persons from 16-24 years who are not in employment or education. The statistical data period is the last week of November, and a person is categorised as not active (NEET), if he or she is not in employment in that week and is not in education either in that same week as well as the preceding three weeks., The statistics are based on the Labour Market Accounts (LMA) and facilitate the calculation of a NEET indicator based on register data. The statistics have taken inspiration from the NEET indicator, which is defined by Eurostat as well as the OECD, and which is calculated from the interview-based Labour Force Survey (LFS)., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Labour Market Account, Key figures, In Statbank Denmark, you can find more data on Population (16-24 years) (NEET2), Related content in Not in Employment, Education or Training (NEET), Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

      https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/unge-uden-for-beskaeftigelse-og-uddannelse-neet

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      Labour market accounts

      The purpose of the labour market accounts is to compile an annual statement of the population’s attachment to the labour market calculated in full-time persons. , Introduction, The labour market accounts consist of two longitudinal registers., The first one is not time-standardized. This means that a person can have activities (eg. two jobs) which together make up more than 37 hours per week. This register is the data base for the register-based labour force statistics (RAS), the quarterly labour force statistics (KAS), establishment-related employment statistics and the NEET-indicator (young people without employment and education). This register enables, for example, that the population’s attachment to the labour market to be calculated at any time during the year., The second register is hourly standardized in relation to a standard working week of 37 hours. The second longitudinal register is the data source for the two tables AMR1 and AMR2 in the statbank. When the annual attachment to the labour market for the entire population is calculated on this register, it is equal to the average population in the year., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Labour Market Account, Key figures, Related content in Labour market accounts, Tables in Statbank , Scheduled releases , Contact, Pernille Stender, Phone: +45 24 92 12 33, Mail: , psd@dst.dk

      https://www.dst.dk/en/Statistik/emner/arbejde-og-indkomst/befolkningens-arbejdsmarkedsstatus/arbejdsmarkedsregnskab

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      Roads

      This set of statistics is focused on the Danish road network — both the road traffic and the investments in the road network. Statistics Denmark communicates the statistics of the Danish Road Directorate as part of the collaboration between the two institutions. , Introduction, The road traffic is compiled annually as the number of kilometres covered by various types of vehicles and as the number of vehicles on selected stretches of road., In addition, the road infrastructure or road network shows how many kilometres exist of different roads broken down by part of the country, as well as investments in the road network. The road network includes all types of public roads (main roads, byroads, motorways, expressways, E-roads and roads in urban areas)., The statistics are produced by the Danish Road Directorate and selected tables are exhibited in , Statbank Denmark, .,  , Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Road Network and Road Traffic, Key figures, In Statbank Denmark, you can find more data on Road traffic of Danish vehicles on Danish roads (VEJ23),  ,  , In Statbank Denmark, you can find more data on Investments in the road network (VEJ2),  ,  ,  , Related content in Roads, Tables in Statbank , Scheduled releases , Contact, Peter Ottosen, Phone: +45 30 42 91 91, Mail: , pot@dst.dk

      https://www.dst.dk/en/Statistik/emner/transport/trafik-og-infrastruktur/veje

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      Holiday houses

      Introduction, Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Overnight stays are calculated in rented and available house weeks. Rented house weeks are the number of days a house is rented divided by seven. Available house weeks are the number of houses available for rent for one week., Preliminary statistics are published every month. In addition, annual statistics are published at the end of April, which are distributed by municipalities, parts of the country and regions. Guests are distributed among these countries:,  , • Denmark, • Germany, • Norway, • Sweden, • The Netherlands, • Other countries,  , Geographically distributed data at the municipality level can be found on , Visit Denmarks,  website., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Holiday houses, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST1), Related content in Holiday houses, Tables in Statbank , Scheduled releases , Contact, Nanna Nikander Nonboe-Nygaard, Phone: +45 20 56 39 57, Mail: , nio@dst.dk

      https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/feriehuse

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      All types of overnight accommodation

      These statistics cover the millions of overnight-stays that Danish and foreign guests have at hotels, holiday centers, hostels, campgrounds, as well as holiday homes and marinas in Denmark each year. , Introduction, The statistics are published monthly and annually., The category hotel and holiday centers also include motels, inns, guest houses, holiday centers and hostels. The monthly hotel statistics are calculated from reporting from hotels etc. with at least 40 beds, while the yearly statistics also include reports from hotels etc. with at least 10 beds., The monthly camping sites statistics are calculated from reporting from camping sites with a capacity of at least 75 guests per night, while the yearly statistics include all camping sites with a capacity of at least 10 per night., The statistics for marinas are voluntarily reported between May and September., Holiday houses cover all holiday house rentals with at least 25 houses/apartments available for rental. Holiday houses which are rented privately are not part of the statistics., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Nights spent at hotels, holiday resorts and youth hostels, Key figures, In Statbank Denmark, you can find more data on Overnight stay (TURIST), Related content in All types of overnight accommodation, Tables in Statbank , Scheduled releases , Contact, Majbrit Holst, Phone: +45 24 94 08 24, Mail: , mbj@dst.dk

      https://www.dst.dk/en/Statistik/emner/erhvervsliv/overnatninger-og-rejser/samlede-overnatningsformer

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      Turnover in construction

      These statistics break down the turnover in private construction activities by the nature of the activity (new buildings, repairs, civil engineering activities etc.). , Introduction, Turnover in construction is a set of quarterly statistics that breaks down the turnover in private construction activities by the nature of the activity (new buildings, repairs, civil engineering activities and other activities). The annual turnover for construction is further broken down into ten types of work:, New buildings and extensions, dwellings, New buildings and extensions, other buildings, Repair and maintenance, major repair work, dwellings, Repair and maintenance, major repair work, other buildings, Repair and maintenance, routine maintenance, dwellings, Repair and maintenance, routine maintenance, other buildings, Civil engineering activities, new construction, Civil engineering activities, major repair work, Civil engineering activities, maintenance, Other activities in total, The construction sector is divided into eight industries in the statistics:, 41000 Building contractors, 42000 General contractors, 43201 Electrical installation etc., 432200 Plumbing, heat and air-conditioning installation, 43301 Joinery and construction installation etc., 43302 Painting and glazing etc., 439910 Bricklayers, 43003 Other specialised construction activities., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Turnover in construction, Key figures, In Statbank Denmark, you can find more data on Turnover in construction (BYGOMS2), Related content in Turnover in construction, Tables in Statbank , Scheduled releases , Contact, Kasper Emil Dueholm Freiman, Phone: +45 23 45 47 32, Mail: , kfr@dst.dk

      https://www.dst.dk/en/Statistik/emner/erhvervsliv/byggeri-og-anlaeg/byggeriets-omsaetning

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      Documentation of statistics: Labour Force Survey (LFS)

      Contact info, Labour Market, Social Statistics , Daniel F. Gustafsson , +45 20 51 64 72 , DFG@dst.dk , Get documentation of statistics as pdf, Labour Force Survey (LFS) 2025 Quarter 2 , Previous versions, Labour Force Survey (LFS) 2025 Quarter 1, Labour Force Survey (LFS) 2024 Quarter 4, Labour Force Survey (LFS) 2024 Quarter 3, Labour Force Survey (LFS) 2024 Quarter 2, Labour Force Survey (LFS) 2024 Quarter 1, Labour Force Survey (LFS) 2023 Quarter 4, Labour Force Survey (LFS) 2023 Quarter 3, Labour Force Survey (LFS) 2023 Quarter 2, Labour Force Survey (LFS) 2023 Quarter 1, Labour Force Survey (LFS) 2022 Quarter 4, Labour Force Survey (LFS) 2022 Quarter 3, Labour Force Survey (LFS) 2022 Quarter 2, Labour Force Survey (LFS) 2022 Quarter 1, Labour Force Survey (LFS) 2021 Quarter 4, Labour Force Survey 2021 Quarter 3, Labour Force Survey 2021 Quarter 2, Labour Force Survey 2021 Quarter 1, Labour Force Survey 2020 Quarter 4, Labour Force Survey 2020 Quarter 3, Labour Force Survey 2020 Quarter 2, Labour Force Survey 2020 Quarter 1, Labour Force Survey 2019 Quarter 4, Labour Force Survey 2019 Quarter 3, Labour Force Survey 2019 Quarter 2, Labour Force Survey 2019 Quarter 1, Labour Force Survey 2018 Quarter 4, Labour Force Survey 2018 Quarter 3, Labour Force Survey 2018 Quarter 2, Labour Force Survey 2018 Quarter 1, Labour Force Survey 2017 Quarter 4, Labour Force Survey 2017 Quarter 3, Labour Force Survey 2017 Quarter 2, Labour Force Survey 2017 Quarter 1, Labour Force Survey 2016 Quarter 4, Labour Force Survey 2016 Quarter 3, Labour Force Survey 2016 Quarter 2, Labour Force Survey 2016 Quarter 1, Labour Force Survey 2015 Quarter 4, Labour Force Survey 2015 Quarter 3, Labour Force Survey 2015 Quarter 2, Labour Force Survey 2015 Quarter 1, Labour Force Survey 2014 Quarter 4, Labour Force Survey 2014 Quarter 3, The purpose of the Labour Force Survey (LFS) is giving a description of the labour market status of the population. The LFS gives insight into how many people are employed, unemployed or outside the labour force (economically inactive). The LFS also manages to measure information like how many people are working part time; how many hours men in their 30s or 40s usually work; or how many elderly people outside the labour market would like to have a job. The LFS has been conducted yearly since 1984, and from 1994 the survey has been conducted continuously throughout the year., Statistical presentation, The Labor Force Survey is a quarterly sample-based interview survey on the Danish population between 15 and 89 years. The survey sheds light on how many are employed, unemployed (LFS unemployed) or outside the labor force. The survey provides detailed data on e.g. hours worked, conditions of employment, job search, education by regions, age and sex. Consequently the survey can, among other things, estimate the number of employed people who work at home regularly; how many self-employed people who work during weekends; or how many people have have a part-time job. , Read more about statistical presentation, Statistical processing, The Labour Force Survey is the most comprehensive continuous survey in Denmark based on approx. 72,000 participants on an annual basis. The interviews are conducted by online interview or telephone. The survey is based on a stratified sample of the population. In drawing the sample administrative resources are used to obtain various background information on the people interviewed. The sample is weighted to measure the entire population in Denmark., Read more about statistical processing, Relevance, The Danish Labour Force Survey (LFS) is the contribution to the European LFS and data are delivered quarterly to the European Statistical office., Labour Force Surveys are carried out in every European country as well as in many other countries around the world following common concepts and guidelines. This makes the Labour Force Survey the best Danish survey for international comparisons on labour market statistics., Read more about relevance, Accuracy and reliability, The Labor Force Survey (LFS) has a relatively large sample and there are continuous improvements in enumeration methods. This provides reliable statistics for the population's connection to the labor market, although there is uncertainty linked to the selection of the sample and the structure of the non-response., In Q1 2016, the response rate was exceptionally low, creating greater uncertainty about the figures. Furthermore, web interview (CAWI) has been introduced as a new data collection method. The two factors created breaks in the time series. The breaks are corrected on the main series., Read more about accuracy and reliability, Timeliness and punctuality, The Labour Force Survey is published 1.5 months after the end of a reference period and usually without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The Labor Force Survey (LFS) has been conducted since 1994 and tables can be found at StatBank Denmark from 1996 onwards. A new enumeration method has been introduced, where the sources only go back to 2008. The new series therefore only go back to 2008 in comparable form. LFS is made according to the same guidelines in all EU countries and several other countries and is therefore well suited for international comparisons., Read more about comparability, Accessibility and clarity, These statistics are published quarterly and yearly in a Danish press release. In StatBank Denmark these statistics are published under the topic , Labour Force Survey (LFS), . For further information, see the , subject page, ., More detailed statistical data can be purchased via DST Consulting, see , customised statistics, ., It is also possible to access micro-data through , Statistics Denmark's Research Service, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/labour-force-survey--lfs-

      Documentation of statistics

      Documentation of statistics: Transport by Ferries and Passenger Ships

      Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , POT@dst.dk , Get documentation of statistics as pdf, Transport by Ferries and Passenger Ships 2025 Quarter 1 , Previous versions, Transport by Ferries and Passenger Ships 2024 Quarter 1, Transport by Ferries and Passenger Ships 2023 Quarter 1, Transport by Ferries and Passenger Ships 2022 Quarter 1, Transport by Ferries and Passenger Ships 2021 Quarter 4, Transport by Ferries and Passenger Ships 2021 Quarter 3, Transport by Ferries and Passenger Ships 2021 Quarter 2, Transport by Ferries and Passenger Ships 2021 Quarter 1, Transport by Ferries and Passenger Ships 2020 Quarter 4, Transport by Ferries and Passenger Ships 2020 Quarter 3, Transport by Ferries and Passenger Ships 2020 Quarter 1, Transport by Ferries and Passenger Ships 2019 Quarter 4, Transport by Ferries and Passenger Ships 2019 Quarter 3, Transport by Ferries and Passenger Ships (Quaterly) 2019 Quarter 2, Transport by Ferries and Passenger Ships 2019 Quarter 1, Transport by Ferries and Passenger Ships 2018 Quarter 4, Transport by Ferries and Passenger Ships 2018 Quarter 3, Transport by Ferries and Passenger Ships 2018 Quarter 2, Transport by Ferries and Passenger Ships 2018 Quarter 1, Transport by Ferries and Passenger Ships 2017 Quarter 4, Transport by Ferries and Passenger Ships 2017 Quarter 3, Transport by Ferries and Passenger Ships 2017 Quarter 2, Transport by Ferries and Passenger Ships 2017 Quarter 1, Transport by Ferries and Passenger Ships 2016 Quarter 4, Transport by Ferries and Passenger Ships 2016 Quarter 3, Transport by Ferries and Passenger Ships 2016 Quarter 2, Transport by Ferries and Passenger Ships 2014 Quarter 3, The purpose of the statistics on transport by ferries and passenger ships is to describe the transport of passengers and goods by ferries and passenger ships on domestic routes and in traffic between Danish and foreign ports., The statistics are together with the other transport statistics used for analyses of the transport of passengers and goods. In the current form the statistics has been made since 1990., Statistical presentation, The statistics on transport by ferries and passenger ships are a monthly and annual statistics on the transport of passengers and goods by ferries and by passenger ships between Danish ports or between Danish and foreign ports. , The most important variables used in the statistics are: Trips, passengers, vehicles, goods on road vehicles and other goods., The statistics are published annually in , Nyt fra Danmarks Statistik, and quarterly in the Statbank., Read more about statistical presentation, Statistical processing, Data for the statistics are collected through an electronic questionnaire. The statistics cover all ferry lines and passenger ships with goods or passenger traffic in route to or from Denmark., The response rate is 100 percent., Data are checked both automatically and manually at the time of data collection and in case of large deviations or missing reports the reporting company is contacted again. For a few operators the total freight weight is imputed based on the number of freight vehicles reported. The validated micro-data is aggregated and then checked for major fluctuations., Read more about statistical processing, Relevance, The statistics are used regularly by new media, consultancies, business associations, port enterprises, shipping lines and other enterprises as well as Eurostat for e.g. analyses of maritime traffic, investments in infrastructure, analyses of the maritime transport sector, economic development and environment., Read more about relevance, Accuracy and reliability, The statistics is assessed to be reliable as the main series are based on financial information from the reporters (ticket sale). Furthermore the reporters are obliged to monitor the number of passengers and vehicles onboard., There is few and minor revisions and few errors are found in reported data., The smallest ferry lines are not included in the statistics. Usually this is lines to the smallest Danish islands or crossing fjords., In the main series uncertainty is largest for goods by goods motor vehicles that in some cases are estimated based on the number of goods motor vehicles. Additionally, the number of bicycles and caravans are uncertain., Read more about accuracy and reliability, Timeliness and punctuality, The quarterly statistics are published around 55 days after the end of the quarter. Since statistics for the first quarter 2012 the statistics has been published at the pre-announced date., Read more about timeliness and punctuality, Comparability, In its present form the statistics is consistent since 1990 for annual figures and 2000 for monthly figures. The statistics are processed according to common EU guidelines and therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release at the same time as the tables are updated in the Statbank. In the Statbank, these statistics can be found under the subject , Passengers and routes, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/transport-by-ferries-and-passenger-ships

      Documentation of statistics

      Drug abuse treatment

      This set of statistics covers the social drug abuse treatment provided by municipalities and treatment centres, and it is based on data from the register on waiting times in relation to guarantee of treatment for drug addicts (VBGS) in the drug abuse database, Stofmisbrugsdatabasen (SMDB). , Introduction, The statistics are about the social drug abuse treatments granted by municipalities at the request of persons with drug abuse in accordance with section 101 of the Danish Social Services Act., The statistics do not include those parts of drug abuse treatment which are only granted in accordance with section 142 of the Danish Health Act., The statistics contain information about:, Requests for and initiation of treatment, Status on completion of treatment, Compliance of the guarantee of treatment within 14 days., The guarantee of treatment for social drug abuse treatment is 14 days from request to initiation. The VBGS register from the Ministry for Social Affairs and Senior Citizens is a part of the drug abuse database (SMDB), which is a combined reporting solution for three registers. The other two registers in the SMDB are the register of drug addicts in treatment (SIB) and Kvalitet i den lægelige stofbehandling mv. - KvalHep (quality in the medical drug treatment) for which the Danish Health Data Agency and the Danish Health Authority respectively are responsible., Prior to July 2019 the SMDB encompassed a fourth register named DanRIS – Danish Registration and Information System by Centre for Alcohol and Drug Research., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Drug Abuse Treatment, Key figures, In Statbank Denmark, you can find more data on Drug abuse treatment (SMDBV003), Related content in Drug abuse treatment, Tables in Statbank , Scheduled releases , Contact, SMDB-support, Phone: +45 39 17 34 90, Mail: , smdb@dst.dk

      https://www.dst.dk/en/Statistik/emner/sociale-forhold/social-stoette/stofmisbrugsbehandling

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