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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: Sales of food and beverages to food service

Contact info, Food Industries, Business Statistics , Martin Lundø , +45 51 46 15 12 , MLU@dst.dk , Get documentation of statistics as pdf, Sales of food and beverages to food service 2024 , Previous versions, Sales of food and beverages to food service 2023, Sales of food and beverages to food service 2022, Sales of food and beverages to food service 2021, Sales of Organic Products to Foodservice 2020, Sales of Organic Products to Foodservice 2019, Sales of Organic Products to Foodservice 2018, Sales of Organic Products to Foodservice 2017, Sales of Organic Products to Foodservice 2016, Sales of Organic Products to Foodservice 2015, Sales of Organic Products to Foodservice 2014, Sales of Organic Products to Foodservice 2013, The purpose of the statistics Sales of food and beverages to food service is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to Retail sales of organic foods. The statistics have been compiled annually since 2013 with grant funding from the Ministry of Food, Agriculture and Fisheries., Statistical presentation, The statistics are an annual web-based questionnaire survey on wholesalers' sales of food and beverages to the foodservice area - i.e. commercial kitchens, restaurants, institutions, etc. – i.e. companies and institutions where food is served. The questions relate partly to total turnover for foodservice, partly to turnover for organic foodservice, distributed over a limited number of product groups and customer groups. The turnover is calculated in terms of value (DKK million) and quantity (tons)., Read more about statistical presentation, Statistical processing, Data for the statistics is collected via a questionnaire-based total count of food wholesalers with over 40 million DKK in turnover. Data is validated in connection with the collection in an online form. Data is subsequently checked and corrected after re-contact with the food wholesalers. Data is then summed up for statistics and key figures are calculated., Read more about statistical processing, Relevance, The purpose of the statistics is to provide an overall picture of sales of food and beverages to commercial kitchens, restaurants, institutions, etc. There is a special focus on organic foods, as a supplement to the statistics Retail sales of organic foods. Foodservice has become more important in recent years and a group of industry organizations and companies have wanted comprehensive statistics on the area. The statistics are also included in the formulation and follow-up of objectives for organic food service., Read more about relevance, Accuracy and reliability, Since the statistics are a total count of companies with over 40 million in turnover, there is no sampling error. Smaller companies' sales are not known, but based on the total turnover, it is estimated that less than 5 percent of total sales to foodservice are from these companies. More than 95 percent of the companies have answered the survey. For some companies, it is difficult to obtain the figures for the survey. These have provided best estimates instead. The total sales are more certain than sales divided into product or customer groups., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 9 months after the end of the reference period. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are no common guidelines for international statistics on foodservice., The statistics can be compared to a limited extent with the Retail turnover of organic food. However, this survey measures retail turnover including VAT, in contrast to Sales of food and beverages to foodservice, which measures wholesale turnover excluding VAT., Read more about comparability, Accessibility and clarity, The statistics are published in news release from Statistics , Nyt fra Danmarks Statistik, under the subject Miljø og Energi, Økologi (in Danish only). Statistics Bank publishes figures for Sales of organic goods for foodservice under the subject , Environment and Energy, Ecology, . See more on the statistics' , Subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-food-and-beverages-to-food-service

Documentation of statistics

Documentation of statistics: Input-Output Tables

Contact info, National Accounts, Climate and Environment, Economic Statistics , Peter Rørmose Jensen , +45 40 13 51 26 , PRJ@dst.dk , Get documentation of statistics as pdf, Input-Output Tables 2022 , Previous versions, Input-Output Tables 2020, Input-Output Tables 2019, Input-Output Tables 2018, Input-Output Tables 2017, Input-Output Tables 2016, Input-Output Tables 2015, Input-Output Tables 2011, The purpose of the input-output table is by means of an organized tabulation of detailed economical-statistics to inform about the interactions between production, imports and uses in the economy for a given period. An input The table facilitates a compilation of an input-output model showing direct and indirect interactions in the economy., Statistical presentation, On the basis of National Accounts product balances tables are compiled which in monetary terms describes how goods and services have been flowing in the economy between suppliers and users. The table contains detailed data for economic structures which enables the compilation of an input-output model that can be used to calculate direct as well as indirect consequences of changes in the level of final demand., Read more about statistical presentation, Statistical processing, The national accounts as well as the input-output tables are compiled according to the definitions in EU's "European System of National and Regional Accounts - ESA2010", which is a European version of the UN's "A System of National Accounts 2008". In terms of data the input-output tables is almost entirely based on supply and use tables., Read more about statistical processing, Relevance, Input-output tables are used by e.g. Central Government Administration, trade associations, consultancy companies and others as an important part of large macroeconomic and general equilibrium models and also as an independent tool for assessment of the consequences for e.g. employment and CO2-emissions of various changes in final demand., Read more about relevance, Accuracy and reliability, The inaccuracy of the national accounts figures relates to the inaccuracy of the various sources, which are used. However, the conceptual consistency and, the uniform adaptation of the sources over time contribute to reducing the inaccuracy of the national accounts figures. In particular, the combination of the primary sources into a coherent system in many cases gives rise to the detection of errors, which therefore are not reflected in the final national accounts or in the input-output tables., The uncertainty in the two most recent years (2023-2024) in the series of input-output tables with 69 industries is greater than in tables at the full 117 industry level. This is primarily due to the fact that the data base in the preliminary years is not as complete and comprehensive as in the final years. The two preliminary tables are compiled using a mathematical updating procedure on the latest final version together with new up-to-date information about the row and column totals. , Read more about accuracy and reliability, Timeliness and punctuality, The input-output tables are released once every year at the same time as the final national accounts. The time of release is approximately (almost) 3 years after the end of the reference year., Read more about timeliness and punctuality, Comparability, With a few exceptions the input-output tables can be aggregated into the Danish Industry Classification (DB07) and, thus, input-output tables can therefore easily be combined with other statistics applying the DB07 classification. There is a high degree of international comparability of input-output tables. A lot of effort has been put into keeping the entire time series of input-output tables intact from 1966 through 2011 with no breaks., Read more about comparability, Accessibility and clarity, Input-output data is disseminated mostly on the internet through the http://www.Statbank.dk and the input-output subject page https://www.dst.dk/inputoutput in various file formats. The latter is easier to use because extraction of input-output data from the statbank requires some knowledge of what you are looking for., The strongly aggregated input-output tables published in Statistical Yearbook and Statistical 10-year review are great for a quick overview of the material., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/input-output-tables

Documentation of statistics

Documentation of statistics: Job Vacancies

Contact info, Labour Market, Social Statistics , Monica Wiese Christensen , +45 21 73 34 69 , MWC@dst.dk , Get documentation of statistics as pdf, Job Vacancies 2025 Quarter 2 , Previous versions, Job Vacancies 2025 Quarter 1, Job Vacancies 2024 Quarter 4, Job Vacancies 2024 Quarter 3, Job Vacancies 2024 Quarter 2, Job Vacancies 2024 Quarter 1, Job Vacancies 2023 Quarter 4, Job Vacancies 2023 Quarter 3, Job Vacancies 2023 Quarter 2, Job Vacancies 2023 Quarter 1, Job Vacancies 2022 Quarter 4, Job Vacancies 2022 Quarter 3, Job Vacancies 2022 Quarter 2, Job Vacancies 2022 Quarter 1, Job Vacancies 2021 Quarter 4, Job Vacancies 2021 Quarter 3, Job Vacancies 2021 Quarter 2, Job Vacancies 2021 Quarter 1, Job Vacancies 2020 Quarter 4, Job Vacancies 2020 Quarter 3, Job Vacancies 2020 Quarter 2, Job Vacancies 2020 Quarter 1, Job Vacancies 2019 Quarter 4, Job Vacancies 2019 Quarter 3, Job Vacancies 2019 Quarter 2, Job Vacancies 2019 Quarter 1, Job Vacancies 2018 Quarter 4, Job Vacancies 2018 Quarter 3, Job Vacancies 2018 Quarter 2, Job Vacancies 2018 Quarter 1, Job Vacancies 2017 Quarter 4, Job Vacancies 2017 Quarter 3, Job Vacancies 2017 Quarter 2, Job Vacancies 2017 Quarter 1, Job Vacancies 2016 Quarter 4, Job Vacancies 2016 Quarter 3, Job Vacancies 2016 Quarter 2, Job Vacancies 2016 Quarter 1, Job Vacancies 2015 Quarter 4, Job Vacancies 2015 Quarter 3, Job Vacancies 2015 Quarter 2, Job Vacancies 2015 Quarter 1, Job Vacancies 2014 Quarter 4, The purpose of the statistics is to analyze the development in the number of job vacancies held by employers in the Danish labour market. The job vacancy statistics is an important labour market indicator as businesses typically reduce the number of job vacancies before they begin the dismissal of employees. Data on job vacancies is collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Statistical presentation, The statistics shows the quarterly development in the real number of job vacancies and job vacancy rates in relation to the sum of job vacancies and occupied posts in the Danish labour market. The statistics are broken into economic activity and size, which makes it possible to monitor and analyse the scope and structure of the demand for labour by industry and size level of the workplaces. Furthermore, the number of job vacancies and job vacancy rates at regional level are estimated., Read more about statistical presentation, Statistical processing, The statistics are compiled with use off a digital questionnaire, with a quarterly survey population of approximately 7,000 local units . Data are corrected for errors and for not reported data an imputation is conducted. , Read more about statistical processing, Relevance, The users of the statistics are primary the press, private companies, private persons and Eurostat. The statistic is used in analysis about the demand for labour and in the public debate. Data on job vacancies are collected in accordance with similar guidelines by all EU Member States, which implies that the statistics are suitable for comparing the development in the number of job vacancies across the EU Member States., Read more about relevance, Accuracy and reliability, As with all other sample-based statistics, there are some sample errors associated with the estimates. As is the case in other EU Member States, the variation coefficient (CV), which is the standard deviation in relation to the estimate, is used in calculating the sample errors. For the total number of occupied posts the variation coefficient normally is under 1 per cent, while for the total number of job vacancies the variation coefficient is 3-5 per cent. For the NACE sections and size classes the CV are relatively high. This is due to the great variations between the number of job vacancies reported and the many data reported concerning zero vacancies.., Read more about accuracy and reliability, Timeliness and punctuality, Data are released around 75 days after the reference quarter. The punctuality is very high, as delays in planned releases happen very rarely., Read more about timeliness and punctuality, Comparability, From the third quarter of 2012 a new more updated population is used in the enumeration process. The population is drawn from the ESR-register and contains information on the number of occupied posts, which are only three quarters old compared to the former population which was based on a less updated register. The changed enumeration process is estimated to have impact on the number of job vacancies, but not on the JVR (Job Vacancy Rate), which means that the number of job vacancies are not comparable historically in contrast to the JVR., Read more about comparability, Accessibility and clarity, Data are published quarterly in News from Statistics Denmark. Figures are published in the tables , LSK01, , , LSK02, and , LSK03, . See more at the statistics subject page , Job vancancies, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/job-vacancies

Documentation of statistics

Population description

In the project proposal, you must describe the population shortly and precisely (without technical terms, details or data specifications), and document who creates the population. You do so under the population description in Denmark's Data Portal. , Private institutions are able to create the population themselves and get a full register extraction if the project is surveying a major group of entities. To get a full register extraction, private institutions must give reasons for this need based on the size of the population. ,  , When Research Services must create the population, If Research Services is going to create the population for your project, this is done on the basis of a framework agreement. Under the population description in Denmark's Data Portal, you describe the population shortly and precisely (without involving technical details) and add that Statistics Denmark is going to create the population. When Research Services have received the project proposal, they will contact you about the creation of the population. , Examples of population descriptions:, `The population consists of all persons who have been hospitalised with asthma, which is matched with five controls on sex and birth year per case. The controls must be alive and be residing in Denmark on the index data of the case. Statistics Denmark creates the population.', `The population consists of persons who have had residence permits as refugees, and family members reunited with refugees. Statistics Denmark creates the population.', Framework agreement for extraction description and population creation , Research Services prepares a framework agreement, which covers counselling regarding the extraction description as well as the subsequent population creation. Based on the framework agreement, we prepare a detailed extraction description in collaboration with the relevant institution. Research Services uses the extraction description for the final population creation. Based on the institution's criteria and needs regarding the population, we give advice on which registers, variables and variable values that are necessary to create the wanted population. The final extraction description is attached as an appendix to the project proposal. When the extraction description is ready, Research Services creates the population for the project., How to make the extraction description for the population?, The following elements must be uncovered for the extraction description:, Registers or additional data to be used , Periods, including if you want to use registers that are updated annually, quarterly or monthly (for example, BEF (population) is updated quarterly), Conditions based on specific variables and delimitation on specific variable values (for example, if the population must be delimited by age from 15-76 years), How registers must be linked (if several registers are applied), including linking based on specific variables and, if relevant, key register,  , Especially about case control populations , Research Services uses the term `case control populations' for analyses where cases (e.g. exposed) are compared with a reference group (controls). The term is used regardless of the type of study. Under the population description in Denmark's Data Portal, enter a short and precise description of the criteria for cases and controls in the case control population, without involving technical details (including registers and variables). , In collaboration with Research Services, we prepare a detailed extraction description of the case control population. The final extraction description is attached as an appendix to the project proposal. Please note that Research Services only creates case control populations based on date and register criteria, not based on more complicated statistical methods such as for example Propensity Score Matching., How to make the extraction description for the case control population?, The following elements must be uncovered for the extraction description: , What characterises cases:, Registers, periods, conditions, and how registers are linked (see description below), If relevant, index date (for example date of first completed vocational education, first hospital discharge date), What characterises the pool of possible controls:, Registers to be used for creating the pool of possible controls, Inclusion and exclusion criteria based on specific variables and variable values (for example sex = 2 (women), municipality = 607 (Fredericia), residence in the period 01-01-2020 until 31-12-2023), Specific criteria for the case control population including:, How many controls are extracted per case?, Whether cases are allowed to be controls of other cases, If controls are allowed to change status in the inclusion period, Extraction with or without replacement: , is a control allowed to be used as a control for more than one case (replacement)?, or can a control only be a control for a specific case (without replacement)?

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/populationsbeskrivelse

Documentation of statistics: Harmonized Index of Consumer Prices (HICP)

Contact info, Prices and Consumption, Economic Statistics , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Harmonized Index of Consumer Prices (HICP) 2025 , Previous versions, Harmonized Index of Consumer Prices (HICP) 2024, Harmonized Index of Consumer Prices (HICP) 2023, Harmonized Index of Consumer Prices (HICP) 2022, Harmonized Index of Consumer Prices (HICP) 2021, Harmonized Index of Consumer Prices (HICP) 2020, Harmonized Index of Consumer Prices (HICP) 2019, Harmonized Index of Consumer Prices (HICP) 2018, Harmonized Index of Consumer Prices (HICP) 2017, Harmonized Index of Consumer Prices (HICP) 2016, Harmonized Index of Consumer Prices (HICP) 2015, Harmonized Index of Consumer Prices (HICP) 2014, Documents associated with the documentation, Notat-om-forbruger-og-nettoprisindekset-i-forbindelse-med-corona-krisen (pdf) (in Danish only), ECOICOP (pdf), Vægtgrundlag 1991 til i dag (xlsx) (in Danish only), Weightings 2025 (xlsx), The harmonized index of consumer prices (HICP) is compiled by all EU Member States and Norway, Iceland and Switzerland. The purpose of the harmonized consumer price indices is to be able to estimate the development in the countries' consumer prices on a comparable basis. HICP is used both by the Commission and by the European Central Bank in connection with the valuation of the price development in the individual countries in connection with the implementation and monitoring of the 3rd phase of the EMU. All the EU Member States and Norway and Iceland have compiled HICP since January 1997., Statistical presentation, HICP 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 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 HICP 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 HICP, are first grouped according to approx. 500 elementary aggregates for which elementary aggregate indices are calculated. The elementary aggregate indices are mainly calculated as geometric indices. The elementary aggregate indices are weighted together into sub-indices that are in turn aggregated into the total HICP., Read more about statistical processing, Relevance, The HICP is generally viewed as a reliable statistic based on the views of users., Important users are among others The European Central Bank, The European Commission, The Ministry of Finance, The Ministry of Economic Affairs and the Interior, The Danish Central Bank as well as 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 HICP as the sample is not randomly drawn, but the quality of the HICP is accessed to be high. In connection with COVID-19, uncertainty is greater than usual as it has been difficult to collect prices and many industries have been closed down., 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., Read more about accuracy and reliability, Timeliness and punctuality, The HICP 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., Read more about timeliness and punctuality, Comparability, The Danish HICP can be compared directly with other countries' HICPs. Using the HICPs it is possible to compare the inflation rates between different countries directly., The Danish HICP is also related to the national consumer price index., 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. , From January till December 2000, the only difference between the national consumer price index and the HICP is that both owner-occupied dwellings and private hospitals are only recorded in the consumer price index and not in the HICP. , Before January 2000, there are differences in calculation and methodology between the two indices as well as several differences as regards their coverage of goods and services., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release and in the StatBank under , Harmonized index of consumer prices (HICP), . The HICP of all Member States is also published by Eurostat in , Statistics in Focus/Economy and Finance, and on , Eurostat, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/harmonized-index-of-consumer-prices--hicp-

Documentation of statistics

Contact: Welfare and Health

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Kirsten Hoo-Mi Sloth , +45 24 76 65 67, kms@dst.dk, Executive chief consultant, Executive chief consultant, Hanne Rasmussen , +45 20 58 30 63, hra@dst.dk, System Analyst, System Analyst, Cathrine Pagh Nielsen , +45 24 67 07 20, cnn@dst.dk, Health, disabled people and crime, Chief Adviser, Chief Adviser, Sofie Biering-Sørensen , +45 21 19 91 35, sbs@dst.dk, Chief Adviser, Chief Adviser, Klaus Birch Lundgaard , +45 51 14 62 78, klu@dst.dk, Senior Adviser, Senior Adviser, Jonas Ellemand , +45 24 90 74 98, joe@dst.dk, Senior Adviser, Senior Adviser, Peter Krogh , +45 20 15 83 11, ptk@dst.dk, Senior Adviser, Senior Adviser, Line Neerup Handlos , +45 26 64 03 00, lha@dst.dk, Senior Adviser, Senior Adviser, Camilla Østerballe Nielsen , +45 20 28 52 49, cnl@dst.dk, Head of Section, Head of Section, Benedikte Beckman Nygaard , +45 21 19 10 53, bbn@dst.dk, Head of Section, Head of Section, Jonas Kirchheiner-Rasmussen , +45 61 50 23 80, ras@dst.dk, Senior Head Clerk, Senior Head Clerk, Karsten Werner Nielsen , +45 30 45 69 04, kwn@dst.dk, Senior Head Clerk, Senior Head Clerk, Vibeke Nordrum , +45 24 94 35 52, vno@dst.dk, Senior Head Clerk, Senior Head Clerk, Iben Birgitte Pedersen , +45 23 60 37 11, ipe@dst.dk, Senior Head Clerk, Senior Head Clerk, Claus Østberg , +45 51 79 31 58, coj@dst.dk, Student, Student, Emilia Nielsen , +45 20 31 92 36, edg@dst.dk, Seniors and marginalised adults, Chief Adviser, Chief Adviser, Chris Cornelia Friis Christiansen , +45 23 13 05 91, ccc@dst.dk, Senior Adviser, Senior Adviser, Siri Dencker , +45 21 45 34 92, sen@dst.dk, Head of Section, Head of Section, Sille Amalie Aagaard Kristensen , +45 20 11 52 16, sak@dst.dk, Head of Section, Head of Section, Marie Borring Klitgaard , +45 21 55 83 71, mga@dst.dk, Head of Section, Head of Section, Birgitte Lundstrøm , +45 24 21 39 65, bls@dst.dk, Head of Section, Head of Section, Clara Matilde Møgelmose Larsen , +45 30 45 88 23, cml@dst.dk, Head of Section, Head of Section, Silas Turner , +45 21 54 42 57, str@dst.dk, Senior Head Clerk, Senior Head Clerk, Lina Agerskov Hansen , +45 30 57 73 44, lah@dst.dk, Senior Head Clerk, Senior Head Clerk, Ramije Idrizi , +45 20 57 99 53, rai@dst.dk, Vulnerable Children and Young Persons, Chief Adviser, Chief Adviser, Sofie Mandrup Hansen , +45 24 43 54 57, sfh@dst.dk, Senior Adviser, Senior Adviser, Jane Christensen , +45 20 58 42 40, jnc@dst.dk, Head of Section, Head of Section, Rasmus Waagø Jacobsen , +45 61 50 93 37, rwj@dst.dk, Head of Section, Head of Section, Johanna Jallberg , +45 20 16 01 71, jjg@dst.dk, Head of Section, Head of Section, Cecilie Katholm , +45 21 45 33 42, cek@dst.dk, Head of Section, Head of Section, Marko Malic , +45 51 70 56 95, mmc@dst.dk, Head of Section, Head of Section, Anne Morsing , +45 21 82 17 60, aem@dst.dk, Senior Head Clerk, Senior Head Clerk, Bente Ottosen , +45 41 31 74 23, bbo@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=10&tlfbogsort=sektion

Contact: Labour and Income

Section/Title, Name, Phone, Mail, Management and Office Support, Head of Division, Head of Division, Thomas Bie , +45 41 19 87 10, tbi@dst.dk, Executive chief consultant, Executive chief consultant, Jesper Moltrup-Nielsen , +45 24 81 16 97, jmn@dst.dk, AKU and SILC, Chief Adviser, Chief Adviser, Daniel F. Gustafsson , +45 20 51 64 72, dfg@dst.dk, Head of Section, Head of Section, Ida Frederikke Mathiesen , +45 21 49 48 53, ifm@dst.dk, Head of Section, Head of Section, Martin Faris Sawaed Nielsen , +45 23 69 90 67, mfs@dst.dk, Head Clerk, Head Clerk, Annette Gewecke Nancke , +45 30 60 41 75, agp@dst.dk, Senior Clerk, Senior Clerk, Mediha Kurtevski , +45 23 69 77 12, mku@dst.dk, Senior Head Clerk, Senior Head Clerk, Tina Dorthe Andersen , +45 29 33 75 67, tia@dst.dk, Senior Head Clerk, Senior Head Clerk, Wendy Takacs Jensen , +45 51 79 47 14, wta@dst.dk, System Analyst, System Analyst, Dines Skafte Böttcher , +45 21 14 76 92, dsb@dst.dk, Earnings and Absence, Senior Adviser, Senior Adviser, Eva Borg , +45 24 78 53 57, evb@dst.dk, Senior Adviser, Senior Adviser, Bao Chau Do , +45 30 62 50 74, bcd@dst.dk, Head of Section, Head of Section, Sam Blanch , +45 23 63 60 44, slb@dst.dk, Head of Section, Head of Section, Monica Wiese Christensen , +45 21 73 34 69, mwc@dst.dk, Head of Section, Head of Section, Summer Cook , +45 30 68 39 52, sco@dst.dk, Head of Section, Head of Section, Nete Nielsen , +45 40 10 48 87, ndn@dst.dk, Head of Section, Head of Section, Sysette Holde Rasmussen , +45 40 27 21 96, syr@dst.dk, Bachelor, Bachelor, Sofie Lionet Faxholm , +45 20 18 41 09, slf@dst.dk, Head Clerk, Head Clerk, Iman Khazendar , +45 40 23 13 63, ijk@dst.dk, Head Clerk, Head Clerk, Yulia Sotirova , +45 30 57 69 27, ivs@dst.dk, Senior Head Clerk, Senior Head Clerk, Lars Svenningsen , +45 24 81 25 98, lks@dst.dk, Employment and Labour Market Accounts, Chief Adviser, Chief Adviser, Pernille Stender , +45 24 92 12 33, psd@dst.dk, Chief Adviser, Chief Adviser, Thomas Thorsen , +45 23 69 94 27, tst@dst.dk, Senior Adviser, Senior Adviser, Mads Housø Hansen , +45 24 43 40 61, mhu@dst.dk, Head of Section, Head of Section, Christian Ravn , +45 21 15 99 36, crs@dst.dk, Income and Wealth, Chief Adviser, Chief Adviser, Jarl Christian Quitzau , +45 23 42 35 03, jaq@dst.dk, Senior Adviser, Senior Adviser, Uwe Pedersen , +45 23 72 65 69, uwp@dst.dk, Head of Section, Head of Section, Morten Steenbjerg Kristensen , +45 20 40 38 73, mrt@dst.dk, Labour Market Periphery, Chief Adviser, Chief Adviser, Mikkel Zimmermann , +45 51 44 98 37, mzi@dst.dk, Head of Section, Head of Section, Anna Skovbæk Mortensen , +45 21 77 67 54, aom@dst.dk, Senior Head Clerk, Senior Head Clerk, Carsten Bo Nielsen , +45 23 74 60 17, can@dst.dk, System Analyst, System Analyst, Jesper Truelsen , +45 30 34 78 10, jet@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=04&tlfbogsort=sektion