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Documentation of statistics: Bankruptcies

Contact info, Short Term Statistics , Søren Dalbro , SDA , SDA@dst.dk , Get documentation of statistics as pdf, Bankruptcies 2022 , Previous versions, Bankruptcies 2020, Bankruptcies 2019, Bankruptcies 2018, Bankruptcies 2017, Bankruptcies 2016, Bankruptcies 2015, Bankruptcies 2014, The purpose of these statistics on bankruptcies is to analyze trends in the number of bankruptcies as well as in selected characteristics of companies gone bankrupt. These trends are considered as an essential economic or short time indicators. Compilation of the statistics was established in January 1979 based on a 'simple count method'. In 2009 the method was changed to a registry-based method. Quarterly statistics on selected and aggregated NACE-sections are published from July 2021., Data on petitions for liquidation proceedings are calculated on experimental basis as a high frequent (weekly) short time indicator. They cover the period since 2011., Statistical presentation, The statistics on declared bankruptcies show monthly the development in the number of announcements by industry, region, company age, turn-over and employment. Furthermore average company age, total turn-over and total employment (lost jobs) in bankrupt companies are calculated. The bankruptcies are moreover calculated for so called active companies, i.e. companies with employment and/or turnover >= 1 million DKK, as well as inactive companies, i.e. companies without employment and turnover less than 1 million DKK., Figures on petitions for liquidation proceedings are calculated on experimental basis as a high frequent (weekly) short time indicator. They cover the period since 2011., The declared bankruptcies are from July 2021 published quarterly together with figures on new registered enterprises on selected and aggregated sections in the so called Quarterly Business Demography, QBD.. , Read more about statistical presentation, Statistical processing, Data from The Danish Official Gazette (Statstidende) are checked for missing reports and duplicates., The announced bankruptcies in the month of reference are added on business sector, turnover, age, employment and geography. The bankruptcies are moreover calculated for so called active companies, i.e. companies with employment and/or turnover >= 1 million DKK, as well as inactive companies, i.e. companies without employment and turnover less than 1 million DKK. The main series with the total number of bankruptcies are seasonal adjusted together with the series of bankruptcies in active companies., The series on petitions for liquidation proceedings are checked at delivery. Some of the petitions for liquidation proceedings are removed from data as they cover private bankruptcies., Read more about statistical processing, Relevance, The statistics on declared bankruptcies and petitions for liquidation proceedings are used by public and private decision-makers as short time indicators and as indicators of the state of affairs in enterprises., Read more about relevance, Accuracy and reliability, There are no changes to former published data. Company ages can be underestimated due to companies changes in the 'cvr'-number. Turn-over and employment figures does not necessarily reflect the situation on the time of bankruptcy as these data refer to an earlier reference period (year or quarter)., Earlier published figures on petitions for liquidation proceedings can be changed by new data deliveries., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on declared bankruptcies is nearly always published on the fourth working day after the reference month. , Publications on declared bankruptcies are released on time, as stated in the release calendar. , The statistics on petitions for liquidations are normally published every Wednesday but delays may occur., Read more about timeliness and punctuality, Comparability, The figures for declared bankruptcies before 2009 are not fully compatible with the later figures as the former figures also contain personal bankruptcies. The size of the difference is not available., Read more about comparability, Accessibility and clarity, Statistics on declared bankruptcies are published monthly 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 , Bankruptcies, . For more information, go to the , subject page, Statistics on petitions for liquidations are published weekly in the Statbank and at https://www.dst.dk/da/Statistik/emner/erhvervsliv/erhvervslivets-struktur/konkurser) , Statistics on Quarterly Business Demography are published quarterly in the Statbank. (Link og dokumentation kommer på, når det er oprettet), Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/bankruptcies

Documentation of statistics

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

Unemployment concepts

There are three different unemployment concepts – net unemployment, gross unemployment and LFS unemployment., Statistics Denmark regularly publishes two sets of unemployment statistics, which use different unemployment concepts and consequently result in different unemployment figures. The register-based unemployment statistics, which assess net unemployment and gross unemployment, and the interview-based Labour Force Survey (LFS), which assesses LFS unemployment. , Net unemployment covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and not in job activation. The numbers are converted into ‘full-time equivalent (FTE) unemployed persons’. , In addition to net unemployment, gross unemployment also covers recipients of unemployment benefits, cash benefits and student grants who are job-ready and in job activation, including persons employed with wage subsidies, also converted into ‘FTE unemployed persons’. , LFS unemployment covers persons who indicate in the Labour Force Survey that they were not in employment during the week that the survey took place, , and, that they actively sought employment in the four weeks up to the week in which the survey took place, , and, that they were able to start a job within two weeks. , When to use which unemployment concept, In Denmark, gross unemployment is the most common unemployment concept used in the debate. Gross unemployment (and net unemployment, which is a subset hereof) gives monthly details on unemployment, e.g. at municipal level, broken down by age groups or by unemployment insurance funds. Moreover, gross unemployment is ideal for highlighting the extent of part-time unemployment and for linking with other register variables such as education and country of origin. LFS unemployment is mainly used in international comparisons of unemployment rates and trends in different countries. Furthermore, the LFS can show the extent of unemployed persons who are not entitled to unemployment benefits or cash benefits, or be used to assess the number of persons who want to find a job. , Overview of unemployment concepts,  , LFS unemployment, Net unemployment , Gross unemployment, Based on, QUESTIONNAIRE, (figures from the Labour Force Survey), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), REGISTERS, (data from STAR - the Danish Agency for Labour Market Recruitment), Is, sample-based questionnaire , survey with 72,000 interviews each year, register-based complete census, register-based complete census, Published, quarterly, monthly, monthly, Unemployed persons, Complies with the international ILO definition:, - are completely jobless and, - are available to take up employment and, - have carried out activities to seek employment, are registered as unemployed recipients of unemployment benefits or job-ready recipients of cash benefits, excl. those in activation, are registered as unemployed recipients of unemployment benefits, incl. those in activation, What is, counted, number of PERSONS, persons converted to FTE PERSONS, persons converted to FTE PERSONS, Time series, in Statbank Denmark , From 2008, From 1979, From 2007, Strengths, - useful in international comparisons, - shows also unemployed persons who are not entitled to unemployment benefits or cash benefits, - shows persons who want to get a job, - shows youth unemployment (15-24-year-old persons), - allows for supplementary questions, - a monthly flash unemployment indicator , - a long time series from 1979, - shows small groups of persons , - shows available hours, - shows breakdown by unemployment benefit funds , - linkage with other register variables, - a monthly flash unemployment indicator , - shows small groups of persons, - shows available hoursr, - shows breakdown by unemployment benefit funds, - linkage with other register variables, Weaknesses, - statistical uncertainty, - high uncertainty for small groups, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits, complies only partly with the ILO definition, as it only covers persons who are entitled to unemployment benefits or cash benefits,  ,  

https://www.dst.dk/en/Statistik/dokumentation/metode/ledighedsbegreber

Documentation of statistics: Consumer Price Index

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Consumer Price Index 2025 , Previous versions, Consumer Price Index 2024, Consumer Price Index 2023, Consumer Price Index 2022, Consumer Price Index 2021, Consumer Price Index 2020, Consumer Price Index 2019, Consumer Price Index 2018, Consumer Price Index 2017, Consumer Price Index 2016, Consumer Price Index 2015, Consumer Price Index 2014, Documents associated with the documentation, Klassifikationskoder og beskriveler (pdf), Notat om forbruger-og nettoprisindekset i forbindelse med coronakrisen (pdf) (in Danish only), Weightings 2025 (xlsx), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Vejledning til regulering med prisindeks (pdf) (in Danish only), Vægte 2021 og corona (pdf) (in Danish only), FPI-dokumentation - opdateret maj 2020 (pdf) (in Danish only), The purpose of the consumer price index is to measure the development of the prices charged to consumers for goods and services bought by private households in Denmark. The consumer price index has been calculated since 1914, but there are estimated figures for the development in consumer prices back to 1872. From January 1967 the index has been calculated on a monthly basis., Statistical presentation, The consumer price index shows the development of prices for goods and services bought by private households in Denmark. Thus, the index also covers foreign households' consumption expenditure in Denmark, but not Danish households' consumption expenditure abroad. The index shows the monthly changes in the costs of buying a fixed basket of goods, the composition of which is made up in accordance with the households' consumption of goods and services. The consumer price indices divided by group of households show the price development for different households. , The price indices for April, May, June, July, August, September, October, November, December 2020 and January, February, March, April, May and June 2021 are more uncertain than usual, as the non-response rate has been significantly larger than normal and some businesses have been shut down due to COVID-19., Read more about statistical presentation, Statistical processing, The consumer price index is calculated on the basis of 23,000 prices collected from approx. 1,600 shops, companies and institutions throughout Denmark. Most prices are by far collected monthly. The data material received is examined for errors, both by computer (using the so called HB-method) and manually. The different goods and services, which are included in the consumer price index, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total consumer price index. In calculating a price index it is assumed that the baskets of goods that are compared are identical, also with respect to the quality of the goods. Mainly indirect quality adjustment methods are being applied in the consumer price index in connection with changes in the sample. , Read more about statistical processing, Relevance, The consumer price index is generally viewed as a reliable statistic based on the views of users., Important users are among others the Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank and private banks and other financial organizations., Read more about relevance, Accuracy and reliability, No calculation has been made of the uncertainty connected with sampling in the consumer price index as the sample is not randomly drawn, but the quality of the consumer price index is accessed to be high., In addition to the "general" uncertainty connected with sampling, there are a number of sources of potential bias in the consumer price index. One source is the consumers substitution between goods and shops and another source is changes in the sample (se chapter regarding "Non-sampling error")., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., The consumer price indices divided by group of households are published twice a year., Read more about timeliness and punctuality, Comparability, The consumer price index is related to the European Union harmonized consumer price index (HICP) and to the index of net retail prices. From January 2001, the only difference between the national consumer price index and the HICP is the coverage of goods and services, as owner-occupied dwellings is only recorded in the consumer price index and not in the HICP. The consumer price index is also related to the index of net retail prices. The two indices comprise the same groups of goods and services and are calculated according to the same methodology. Consequently, the only difference between the two indices is the price concept used, as indirect taxes and VAT are subtracted in the index of net retail prices, and the weighting., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Consumer Price Index, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/consumer-price-index

Documentation of statistics

Documentation of statistics: Highest Education Attained

Contact info, Population and Education, Social Statistics , Alexander Pfeiffer Cappelen , +45 23 63 72 52 , APF@dst.dk , Get documentation of statistics as pdf, Highest Education Attained 2024 , Previous versions, Highest Education Attained 2023, Highest Education Attained 2022, Highest Education Attained 2021, Highest Education Attained 2020, Highest Education Attained 2019, Highest Education Attained 2018, Highest Education Attained 2017, Highest Education Attained 2016, Highest Education Attained 2015, Highest Education Attained 2014, Highest Education Attained 2013, The purpose of the statistics on educational attainment is to give an overall statistical description of the educational level of the population at any given time. The primary data source to these statistics is the Student Register with data from 1970 onwards. In addition, the Qualification Register is used. Since the Student Register is the primary source for information, the Attainment Register gives nearly complete coverage from 1970 onwards. There is, however information before this time coming from The Qualification Register., Statistical presentation, The Attainment Register gathers information about the highest completed education for each single person based on the information in the Student Register and the Qualification Register. It is a longitudinal register based on an assessment of each person's education "career" and shows how the qualification career develops over time. The register is formed by interpreting the qualification career (skills in chronological order) in order to determine a change in the skill level. Once a year a status register is also produced with the population and information about education the 30. September the current year., Read more about statistical presentation, Statistical processing, The Attainment Register is a longitudinal register based on a assessment of each persons education career in The Student Register and The Qualification Register. It shows how the qualification career develop over time, and it is updated once a year. The status register is produced on the basis of the longitudinal register and contains information about the population and their highest completed education per. September 30 the given year., Read more about statistical processing, Relevance, There is a great variety of users. The information is generally used in connection with describing the population or sections hereof. The register is used in connection with status reports for other statistical fields. Data reports are thus submitted for (mainly on the population's highest level of education completed) a wide number of integration registers operated by Statistics Denmark. Furthermore, the register is frequently used in connection with external service activities order by Danish ministries, municipalities, research institutions, professional organization, private enterprises, private individuals and, not least, requests made by the news media., Read more about relevance, Accuracy and reliability, The Accuracy and reliability vary depending on the source of information. More than 80 pct. of the information comes from administrative sources, such as student systems of educational institutions, which are highly reliable. These sources have priority one when the registry is created and will be used if there is information from one of these sources. Other sources are not so closely linked to the education programs and will often be less reliable. Examples of these sources are the surveys of immigrants' education and the population and housing census in 1970, based on self-reported education. In addition, information is imputed for persons who do not respond in the study of immigrants' education. The imputed data is useful in overall statistical statements, but cannot be considered as valid information on individuals' educational attainment. , In connection with the annual reports from the education institutions there is information which also relate to previous years. These delayed notifications concern particularly the last year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published around 6 months after the end of the reference time. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The longitudinal register is produced once a year and the entire period is thus calculated in the same way. Based on the longitudinal register, a status register is produced with the population per. September 30 that year. In the event of significant changes in the way the longitudinal register is produced, the status registers for all years will be reproduced. It happens that an education changes level from one year to the next. Typically, this will not cause a reproduction of all the status registers and therefore affect comparability over time. Labor force survey provide information too Eurostat about the educational attainment level and this is these figures that are used for international comparison of the attainment level., Read more about comparability, Accessibility and clarity, Statistics are published once a year in "News from Statistics Denmark" . At the same time data are released in the Statbank and on the homepage: , Homepage, Information also appears in the annual publications Statistical 10-Year Review and the Statistical Yearbook., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/highest-education-attained

Documentation of statistics

Documentation of statistics: Business Services in the Sector for Market Research and Public Opinion Polling

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , ebm@dst.dk , Get documentation of statistics as pdf, Business Services in the Sector for Market Research and Public Opinion Polling 2023 , Previous versions, Business Services in the Sector for Market Research and Public Opinion Polling 2019, Business Services in the Sector for Market Research and Public Opinion Polling 2017, Business Services in the Sector for Market Research and Public Opinion Polling 2015, Business Services in the Sector for Market Research and Public Opinion Polling 2013, The purpose of the statistics Market research and public opinion polling is to provide information on turnover and types of services in enterprises with market research and public opinion polling as main activity. The statistics is also used for revision of activity classifications in the Business Statistical Register. The Statistics is part of the EU's Structural Business Statistics (SBS). The statistics was first published for the reference year 2001. Prior to 2012 it was called Product Statistics for Market research and public opinion polling. From 2023 the statistics has been changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics provides information on the distribution of total turnover and export on products and services. Furthermore information is collected on the turnover broken down by clients and information on the export broken down by residence of client (resident or Non-resident intra-EU or Non-resident extra-EU). , Read more about statistical presentation, Statistical processing, Data is collected by online questionnaire from a total count of enterprises in the sector Market Research and public opinion polling. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. It also reported information about export. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information turnover from the Accounts Statistics for Non-Agricultural Private Sector in the reference year for the entire population. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, All enterprises within the population are required to submit to the statistics and the submitted turnover is subject to adjustments against the turnover from Accounts Statistics for Non-Agricultural private sector, which consists of a large sample, administrative sources and XBRL reports from the Danish Business Authority. Therefore, the statistics accurately reflect the turnover and its distributions on the various services. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once a year and approximately 11 months after the end of the reference year. The statistics is published usually without delay regarding to the announced date. To the EU the data must be delivered within 18 months after the end of the reference year. , Read more about timeliness and punctuality, Comparability, The statistics has been compiled since 2001. The questionnaire, sampling method and calculation has been adjusted a couple of times, in 2013 where data from 2012 was recalculated with a new method and from the reference year 2023, where the statistics only covers enterprises with at least 20 employees. The statistics is produced according to the guidelines in the European Business Statistics Manual, and it is thus comparable to the similar statistics in other EU countries. , Read more about comparability, Accessibility and clarity, The latest New article can be found on , NEW, . The statistics is published on , STATBANK, . Furthermore the statistics has a , subject page, ., In the Statistics Database of EU the distributions of the turnover by services and residence of client are published on , EUROSTAT's homepage, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/business-services-in-the-sector-for-market-research-and-public-opinion-polling

Documentation of statistics

Documentation of statistics: Register-Based Labour Force Statistics

Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Register-Based Labour Force Statistics 2023 , Previous versions, Register-Based Labour Force Statistics 2022, Register-Based Labour Force Statistics 2021, Register-Based Labour Force Statistics 2020, Register-Based Labour Force Statistics 2019, Register-Based Labour Force Statistics 2018, Register-Based Labour Force Statistics 2017, Register-Based Labour Force Statistics 2016, Register-Based Labour Force Statistics 2015, Register-Based Labour Force Statistics 2014, The purpose of the RAS statistic is to provide a description of the Danish population's affiliation to the labour market. The affiliation is compiled at the end of November and is published annually. The first time RAS was published it concerned the populations connection to the labour market end November 1980. , Statistical presentation, RAS is an annually labour market statistic based on the labour market affiliation for the resident population in Denmark on the last working day in November. The connection to the labour market for the people resident in Denmark is divided into three socioeconomic main groups which are employed, unemployed and people outside the labour force. The statistic is among other things also distributed on information about demography, education and information about the work place for employees. The statistic is published in StatBank Denmark and data is also available trough the Division of Research Services in Statistics Denmark. , Read more about statistical presentation, Statistical processing, RAS is based on the Labour Market Account (LMA) which is a longitudinal register. RAS is done by taking a status (on the populations primary attachment to the labour market) on the last working day in November based on LMA. However with LMA it is also possible to take a status on arbitrary days in the year, and AMR can also be used for various process analysis etc. , Read more about statistical processing, Relevance, The register based labour force statistic (RAS) is primarily been used to structural analysis of the labour market, because the statistic has a very detailed level of information. Many external as well as internal users are using the statistic., Read more about relevance, Accuracy and reliability, RAS is a register based total count of the people resident in Denmark, and the statistic uses the Labour Market Account (LMA) as data source. That first of all means that RAS doesn't contains the same uncertainties as statistics based on surveys. Second of all the data foundation for RAS provides a better opportunity to illuminate the labour market than before. RAS consists of a series of data sources which are integrated, corrected, and harmonized, and can therefore illuminate the populations attachment to the labour market significantly better than the single statistics can. , Read more about accuracy and reliability, Timeliness and punctuality, As of the publication of the figures calculated at the end of November 2018, the publication takes place at two tempi. In tempi one, the socio-economic categories outside the workforce are not subdivided. This publication takes place 11 months after the reference date. Publication in tempi takes place 15 months after the reference date. Here the groups outside the workforce can be subdivided., Read more about timeliness and punctuality, Comparability, The first version of the RAS statistics includes the population resident in Denmark as of the 1 January 1981 and its attachment to the labour market at the end of November 1980. The statistic has been compiled once every year since. New and better data foundations and changes in the labour market have however caused a number of data breaks over time, which have influence on the possibility of comparing data over time. Since RAS is based on administrative registers with national distinctive marks, it is very difficult to compare the statistic in an international level. , Read more about comparability, Accessibility and clarity, The statistics is published in Statbank Denmark: , Labour market status (RAS), and , Employed persons (RAS), . , For further information go to the subject pages , Labour market status (RAS), and , Employed persons (RAS), ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/register-based-labour-force-statistics

Documentation of statistics

Documentation of statistics

Each of the statistical products is described in Documentation of statistics., Browse documentation of statistics, People, Labour and income, Economy, Social conditions, Education and research, Business, Transport, Culture and leisure, Environment and energy, Business, Structure of business, Activities in small enterprises, Bankruptcies, Board members and managers, Business Demography, Compulsory Compositions (Discontinued), Enterprise Groups in Denmark, General Enterprise Statistics, High Growth Enterprises, ICT Use in Enterprises, ICT-Expenditure in Enterprises, Job Vacancies, Purchases and sales by enterprises, Quarterly Business Demography (QBD), Workplaces and jobs, Business economy, Accounts Statistics by Industry, Accounts Statistics for Non-Agricultural Private Sector, Activities of foundations, International labour cost indices (Discontinued), Labour Costs for Corporations and Organizations, Purchases and sales by enterprises, SME Access to Finance, Supplemental Accounts Statistics for Shipping (Discontinued), International enterprises, Danish Foreign Affiliates, Foreign Owned Enterprises, International organisation and outsourcing, Outsourcing by Danish Enterprises (Discontinued), Agriculture, horticulture and forestry, Accounts Statistics for Agriculture, Agricultural investments, Cattle, Cereal Prices used for Regulation of Land Rents, Economic Accounts for Agriculture, Economics of Agricultural Activities, Eggs Production, Farm Structure Survey, Felling of Wood in the Danish Forests, Fur animals production (Discontinued), Harvest of Cereals etc., Livestock production, Milk and Dairy Products, Ownership of agricultural land in Denmark, Pigs, Price and Volume Indicators (Discontinued), Prices and price index for agriculture, Production of Compound Feed, Sales of Pesticides and Pesticides Usage in Crop Farming, Slaughter Animals and Meat Production, Surveillance of the Condition of Forests in Denmark (Discontinued), The Supply and Use of Cereals and Feed, The Use of Cereals, Wintergreen Fields (Discontinued), Fishery and aquaculture, Account Statistics for Fishery, Accounts Statistics for Aquaculture, Aquaculture, Structure and Production (Discontinued), Danish Vessels, Landings of fish, Manufacturing industries, Cost index for refuse collection, sludge removal and freight transport by road, Industrial Production and New Order Statistics (base year 2005, 2000-) (Discontinued), Industrial Production and New Orders Statistics (base year 2000, 1985-) (Discontinued), Industrial Production and New Orders Statistics (base year 2000, 1985-2006) (Discontinued), Industrial Production and Turnover (base year 2005, 2000-) (Discontinued), Industrial Sales and Orders Statistics (base year 1995, -2002) (Discontinued), Manufacturers’ Purchases of Goods and Services, Manufacturers’ Sales of Goods (quarterly), Mining and Quarrying, Production and Turnover in Manufacturing Industries, Stocks of Wholesale, Construction, Census of Buildings, Construction, Construction cost index for residential buildings, Construction Cost Indices for Civil Engineering Projects, Index of Production in Construction, Number of Persons Employed in the Construction Industry, Number of Persons Employed in the Construction Industry (until 2003) (Discontinued), Producer price index for construction of dwellings, Producer price index for renovation and maintenance, Purchase of commodities and services in the construction industry (Discontinued), Turnover in construction, Trade, Retail Trade Index, Retail Trade, by Goods (Discontinued), Sale of motor vehicles, repair and maintenance of motor vehicles etc. (Discontinued), Sales of Alcohol and Tobacco, Stocks of Wholesale, Wholesale Trade, by Goods (Discontinued), Accommodation and travel, Holiday houses, Leisure and Business Trips, Nights spent at hotels, holiday resorts and youth hostels, Nights Spent at Marinas, Nights spent on camp sites, Financial sector, Banks and mortgage-credit institutions, Consumer Credit, Finance Companies, Accounts Statistics (Discontinued), Insurance companies and pension funds, Profit and Loss Accounts of Danmarks Nationalbank, Service sector, Accounting, Book-Keeping and Auditing Activities, Advertising Services, Architecture, Business and Management Consultancy Activities, Business Services in the Sector for Call Centers (Discontinued), Business Services in the Sector for Catering Activities (Discontinued), Business Services in the Sector for Cleaning Activities (Discontinued), Business Services in the Sector for Design (Discontinued), Business Services in the Sector for Forwarding Agents (Discontinued), Business Services in the Sector for Market Research and Public Opinion Polling, Business Services in the Sector for Security Services (Discontinued), Business Services in the Sector for Technical Testing and Analysis, Computer Services, Engineering Activities and Related Technical Consultancy, Indices of Service Production, Legal Activities, Production and Turnover in Service Industries, Services of service industries, Temporary Employment Agencies and Other Human Provision Services, Business tendency surveys, Business Cycle Tracer (Discontinued), Business tendency surveys, Construction Survey (Discontinued), Industry investment survey (Discontinued), Industry Survey (Discontinued), Retail Trade Survey (Discontinued), Services Survey (Discontinued)

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics?subject=6

Documentation of statistics: Services of service industries

Contact info, Business Dynamics, Business Statistics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, Services of service industries 2023 , Previous versions, Documents associated with the documentation, Anden virksomhedsrådgivning (Spørgeskema 2023) (pdf) (in Danish only), Arkitektvirksomhed (Spørgeskema 2023) (pdf) (in Danish only), Bogføring, revision og skatterådgivning (Spørgeskema 2023) (pdf) (in Danish only), It-servicevirksomhed (Spørgeskema 2023) (pdf) (in Danish only), Juridisk bistand (Spørgeskema 2023) (pdf) (in Danish only), Markedsanalyse og offentlig meningsmåling (Spørgeskema 2023) (pdf) (in Danish only), Reklamevirksomhed (Spørgeskema 2023) (pdf) (in Danish only), Rådgivende ingeniørvirksomhed og anden teknisk rådgivning (Spørgeskema 2023) (pdf) (in Danish only), Teknisk afprøvning og analyse (Spørgeskema 2023) (pdf) (in Danish only), Vikarbureauer (Spørgeskema 2023) (pdf) (in Danish only), The purpose of the statistics Services of Service Industries is to provide information about turnover and types of services provided by enterprises within a number of service industries. The statistics is also used for revision of activity classifications in the Business Statistical Register., The statistics is a part of EU Structural Business Statistics (SBS). Some industries have been covered since 1995, whilst others have been covered since 2007. , In its current form the statistics is comparable from the reference year 2023 where the statistics was changed to only cover enterprises with at least 20 employees. , Statistical presentation, The statistics encompasses 10 sub-statistics where each one provides information on the distribution of total turnover on products and services provide by enterprises in a specific industry according to the classification of products by activity (CPA). , Read more about statistical presentation, Statistical processing, Data is collected by online questionnaire from all enterprises within the population. In the questionnaire the enterprises have to break down their turnover by products and their total exports broken down by residence of client within and outside of the EU. The reported data is checked for errors, for instance by comparing the turnover distribution with previous submissions. The collected data is grossed up to the population level by including turnover from the Accounts Statistics for Non-Agricultural Private Sector. , Read more about statistical processing, Relevance, The statistics is used among enterprises when planning and provides an overview of the development taking place in the service sector. Furthermore the statistics is an input to national accounts in Statistics Denmark regarding the service sector. The statistics is also used of the European Statistic bureau, Eurostat, to create EU-statistics about Business Services., Read more about relevance, Accuracy and reliability, This statistics turnover breakdowns by product is sourced from submission from enterprises that that make up between 96 and 100 pct. of the total turnover within each of the activities. This precision is achieved by having only a few missing enterprises within each activity. Additionally the turnover is aligned with information from the Accounts Statistics for Non-Agricultural Private Sector, which in turn is complied from a large sample, administrative sources and XBRL-accounts from the Danish Business Authority. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published ca. 11 months after the end of the reference year. Usually the statistics is published without delays in regards to the announced publication date. , Read more about timeliness and punctuality, Comparability, For some industries the statistics was first compiled in 1995 and 1996, whilst others were first compiled in 2001, 2003 and 2007. Since then there have been various adjustments and changes to the calculation method, activity codes, sampling method and questionnaire. There is consistent a consistent timeseries for the reference years 2012/2013 to 2021/2022. In its current form the statistics is comparable from 2023 and onwards, covering only enterprises with at least 20 employees. These statistics are produced according to the guidelines in the European Business Statistics Manual, and is thus comparable to similar statistics from other EU countries. , Read more about comparability, Accessibility and clarity, These statistics are published in a danish press release about Services of Service Industries. In the StatBank, these statistics can be found under the subject , Services of service industries, . For more information go to the , subject page, . International comparable figures are available through Eurostat's webpage under , Business Services, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/services-of-service-industries

Documentation of statistics

Documentation of statistics: Maritime Transport over Danish Ports

Contact info, Short Term Statistics, Business Statistics , Heidi Sørensen , +45 24 79 86 81 , HSN@dst.dk , Get documentation of statistics as pdf, Maritime Transport over Danish Ports 2025 Quarter 1 , Previous versions, Maritime Transport over Danish Ports 2024 Quarter 1, Maritime Transport over Danish Ports 2023 Quarter 1, Maritime Transport over Danish Ports 2022 Quarter 1, Maritime Transport over Danish Ports 2021 Quarter 4, Maritime Transport over Danish Ports 2021 Quarter 3, Maritime Transport over Danish Ports 2021 Quarter 2, Maritime Transport over Danish Ports 2021 Quarter 1, Maritime Transport over Danish Ports 2020 Quarter 4, Maritime Transport over Danish Ports 2020 Quarter 3, Maritime Transport over Danish Ports 2020 Quarter 2, Maritime Transport over Danish Ports 2020 Quarter 1, Maritime Transport over Danish Ports 2019 Quarter 4, Maritime Transport over Danish Ports 2019 Quarter 3, Maritime Transport over Danish Ports (Quaterly) 2019 Quarter 2, Maritime Transport over Danish Ports 2019 Quarter 1, Maritime Transport over Danish Ports 2018 Quarter 4, Maritime Transport over Danish Ports 2018 Quarter 3, Maritime Transport over Danish Ports 2018 Quarter 2, Maritime Transport over Danish Ports 2018 Quarter 1, Maritime Transport over Danish Ports 2017 Quarter 4, Maritime Transport over Danish Ports 2017 Quarter 3, Maritime Transport over Danish Ports 2017 Quarter 2, Maritime Transport over Danish Ports 2017 Quarter 1, Maritime Transport over Danish Ports 2016 Quarter 4, Maritime Transport over Danish Ports 2016 Quarter 3, Maritime Transport over Danish Ports 2016 Quarter 2, Maritime Transport over Danish Ports 2015 Quarter 4, Maritime Transport over Danish Ports 2015 Quarter 3, Maritime Transport over Danish Ports 2014 Quarter 3, The purpose of statistics on maritime transport over Danish ports is to describe the volume of and the development in ship traffic to and from Danish ports as well as data on port infrastructure. Also data on accidents on sea on board Danish vessels and in Danish sea territory are published., The statistics have been compiled in the present form since 1997. Maritime statistics have been produced since 1834 and published annually from about 1900. In the period from 1991 to 1996, Statistics Denmark compiled only summary statistics on the throughput of ports., Statistical presentation, The main variables in the statistics are: Calls at port, type of ship, size of ship, flag state, port of loading/unloading, weight of goods and type of goods and passengers., The statistics are based on two separate data collections: Maritime traffic on larger Danish ports (quarterly) and Maritime traffic on minor Danish ports (annually). It is supplemented with data from Ferries and Passenger ships (quarterly)., Annual data on accidents at sea are collected from the Danish Maritime Authority., Data on investments in ports are received from the National Accounts in Statistics Denmark., Read more about statistical presentation, Statistical processing, Annual statistics cover all Danish ports handling goods or passengers. Quarterly statistics cover only major ports., The statistics are collected through a spreadsheet solution via the data collection portal, http://www.Virk.dk. Response rate is 100 percent., Data are validated for the correct use of codes and classifications and for internal consistency within each report. Furthermore the development over time is validated at both micro and macro level., Read more about statistical processing, Relevance, The statistics are used by the ports themselves, Eurostat and other parts of the EU-commission, ministries, organisations, researchers and in general to monitor the goods transport activity in Danish ports and to develop transport statistics., Read more about relevance, Accuracy and reliability, Maritime statistics are based on censuses among all goods handling ports. The majority of data stems from the quarterly reports from all major ports. The data from the remaining minor ports are summarised annual data. On the main variables there is full coverage and accurate within 3 percent. Minor revision occur without systematic bias., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are usually published around 70 days after the end of a quarter. Annual statistics are published around 130 days after the end of reference year. It is always published at the preannounced time., Read more about timeliness and punctuality, Comparability, The statistics are consistent from 2000 and onwards and directly comparable to similar statistics from other EU and EFTA member states., Read more about comparability, Accessibility and clarity, Maritime statistics are published annually in Nyt fra Danmarks Statistik (Statistical News)., Quarterly and annually data can be found in , http://www.Statbank.dk, ., Annual tables are published in Statistical Yearbook until 2017 and Statistical 10-year Review., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/maritime-transport-over-danish-ports

Documentation of statistics