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      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 2026 , Previous versions, Consumer Price Index 2025, 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), 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), Vægte for tilbageberegnede indeks 2001-2025 (xlsx) (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: Retail Trade Index

      Contact info, Short Term Statistics, Business Statistics , Nina Thøgersen , +45 21 20 32 67 , NIT@dst.dk , Get documentation of statistics as pdf, Retail Trade Index 2026 , Previous versions, Retail Trade Index 2025, Retail Trade Index 2024, Retail Trade Index 2021, Retail Trade Index 2020, Retail Trade Index 2019, Retail Trade Index 2018, Retail Trade Index 2017, Retail Trade Index 2016, Retail Trade Index 2015, Retail Trade Index 2014, The Retail Trade Index shows the development in turnover within the retail trade sector. The statistics is published monthly and is primarily used as short term indicator for private consumption as well as the general business cycle movement. The statistics have been compiled since 1940, but are comparable from 2015 onwards in their current form., Statistical presentation, Retail trade indices are published for 33 industries. Value and volume indices are produced. The statistics are based on survey data from all large retail trade enterprises and a sample of the remaining retail trade enterprises, which are requested to submit information about their turnover each month. Seasonal adjustment is performed of the industries and the total., Read more about statistical presentation, Statistical processing, The survey is based on a sample of Danish retail trade enterprises. The sample includes approximately 2,200 enterprises, and at the time of the first publication, the figures for a month are based on responses from approximately 1.800 of these enterprises for the initial publication. , The sample consist of 33 subgroups and enterprises are sampled based on their share of the yearly turnover for the given subgroup. The companies are ranked from largest to smallest and the companies, whose rank constitutes the bottom 10 pct. of turnover for their subgroup when summed, are never selected to participate. The companies whose rank lies between 11 and 49 pct. of the subgroup’s yearly summed turnover, are randomly selected. Lastly, the larger firms whose turnover altogether lies in the top 50 pct. of the yearly turnover for their subgroup are always included in the sample. The companies are selected based on VAT-declarations to the Danish tax administration. , Read more about statistical processing, Relevance, Many users who monitor the current business trends take an interest in the published statistics of retail trade. The demand for the statistics is broadly based in trade associations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. The statistics provide input to the quarterly national accounts statistics and to Eurostat's pan-European statistics. The users view the retail trade index as an important short term indicator, and it often gets a lot of attention in the media and amongst other professional users. , Read more about relevance, Accuracy and reliability, The overall uncertainty of the total retail trade index is estimated to be less than 1 per cent. The accuracy of the monthly growth rate is generally very high. For the total index, the uncertainty is estimated to be maximum 0.2 percentage points, while it can be a little higher on commodity group level., Read more about accuracy and reliability, Timeliness and punctuality, Indices on the main industry groups are published already 22-28 days after the end of the month. This is rather quick for statistics based on a survey such as this. One month later the indices on the most detailed industry level are published. The punctuality is very high with delays happening very rarely. , Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 1940, but they are not suited for long term time series analysis because of structural changes in the retail trade sector. The sample design and the calculation methods have been adjusted several times, last time in January 2026, where the time series back to 2015 where recalculated using new methods. , Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Retail Trade Index, . The Retail Trade Index also has a , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/retail-trade-index

      Documentation of statistics

      Documentation of statistics: The Use of Cereals

      Contact info, Food Industries, Business Statistics , Mads Haaning Andersen , +45 51 85 76 27 , MHG@dst.dk , Get documentation of statistics as pdf, The Use of Cereals 2025 , Previous versions, The Use of Cereals 2024, The Use of Cereals 2023, The Use of Cereals 2022, The Use of Cereals 2021, The Use of Cereals 2018, The Use of Cereals 2016, The Use of Cereals 2014, The purpose of the statistics is to compile a grain balance, primarily with the aim of calculating the quantities of grain that go to feed consumption, both for each individual crop and for the total amount of grain. In the grain balance, the amount of grain from harvest and import is calculated, and it is distributed among different uses. The statistics are used to calculate the Economic Accounts for Agriculture. Supply balance sheets for cereals for the crop year have been compiled since 1900/01. Balance sheets for the calendar year have been compiled since 1961. Data in its present form is comparable from 1995 onwards., Statistical presentation, The statistics is an annual calculation of the supply balance sheets for cereals in million kg. The utilization of cereals is calculated both for calendar year and crop years and is published for 6 different cereals and cereals in total. The supply balance sheets contain for each type of cereals statistics on cereals available: harvest, imports and initial stocks, as well as statistics on the use of cereals for different purposes: exports, final stocks, seeds, flour production and other manufacturing, feeding. Moreover, the supply balance sheets are produced based on the origin of the cereals, whether it is produced in Denmark or abroad., Read more about statistical presentation, Statistical processing, The data is collected in biannual and annual questionnaires where the incoming data is checked. Data is from different sources where some are sample surveys and others are censuses why there can be differences in how the further data is calculated. Censuses are aggregated whereas sample surveys are listed according to known target variable. , Read more about statistical processing, Relevance, It is relevant for the agricultural organizations, ministries and agencies, who uses it to follow the development in the use of cereals in Denmark. Moreover it is an input to the Economic Accounts for Agriculture. The users can comment on the statistics in the user committee for agricultural statistics and the users have expressed satisfaction with the statistics. , Read more about relevance, Accuracy and reliability, The utilization of cereals are build on sample surveys for stock of cereals at farms, the harvest of cereals and international trade of goods and the results are therefore subject to some uncertainty. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets. The data on the use of cereals for feeding are subject to some margin of errors, as the use for feeding is calculated as a residual in the balance sheets., Read more about accuracy and reliability, Timeliness and punctuality, It is published twice a year- The statistics concerning the crop year, end of period June 30th, is published in January/February together with the feed consumption, approximately 6 months after the end of the reference period. The statistics following the calendar year is published in May together with the Economic Accounts for Agriculture, barely 6 months after the end of the reference period. Data is preliminary until 2,5 years after the end of the reference period. The statistics is punctual and is published without delay., Read more about timeliness and punctuality, Comparability, The utilization of cereals is comparable back to the crop year 1960/61 and the calendar year 1960. Stocks were not a part of the statistics before 1960. It is in compliance with the current EU legislation and it is an input to the Economic Accounts for Agriculture which is comparable to the Economic Accounts for Agriculture published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Crop production, . For further information, go to the , Crop production, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-use-of-cereals

      Documentation of statistics

      Documentation of statistics: Car Register and Publications

      Contact info, Short Term Statistics , Karina Moric Ingemann , +45 24 78 42 12 , KAM@dst.dk , Get documentation of statistics as pdf, Car Register and Publications 2024 , Previous versions, Car Register and Publications 2020, Car Register and Publications 2019, Car Register and Publications 2018, Car Register and Publications 2017, Car Register and Publications 2016, Car Register and Publications 1992, The purpose of The Car Register and Publications is to provide a basis for statistics concerning vehicles in Denmark, their owners and users. The statistics have been compiled since 1992, and is in its current state comparable from 1992 and onward. The register forms the foundation for statistic calculation, concerning the population of car availability and purchase of cars, where the vehicles owners and users is visualized using data from the population statistics area. The car register and other registers are also used for statistics and data extracts to internal and external users., Statistical presentation, The Statistics includes monthly and yearly calculations of current and historical information’s about vehicles and their owners. The most significant calculations of the newly registered vehicles, is their use for assessment of households and businesses use and investments. Important information’s about the vehicles is type, use, model and variant, weight and fuel type, owner/user relationship, geographic location as well as purchase price. Stock figures, new registrations and used car trade are calculated, as well as energy efficiency, families' availability of cars and car purchases., Read more about statistical presentation, Statistical processing, Data for the Vehicle Register is collected monthly from the Digital Motor Register (DMR). In addition, data from various registers in Statistics Denmark are collected. The central database tables from DMR are transformed for statistical use. Depending on the purpose, data from the other registers is connected using the owner or user IDs. The series with new registrations, accession of and leasing as well as used car sales of passenger cars are seasonally adjusted. The quality measures for the seasonally adjusted series indicate that there are clear seasonal patterns., Read more about statistical processing, Relevance, The statistics is relevant for short-term assessments (new registers etc.), in the road transport statistics (random sample basis) and to illustrate the populations purchase of and access to vehicles., The basic data of the statistics is included in the government's legal model, in the national accounts and in calculations of the value of the cars of households and businesses, as well as family assets. Data from the register are used to prepare statistics on paid services., The register's vehicle and personal data are also used for other social statistics, including service tasks for a fee., Read more about relevance, Accuracy and reliability, The register and the publications are generally highly precise and reliable with only very limited changes to former published data. These corrections does by experience only result in very limited corrections in the main figures formerly published, i.e. less than 0.5 per mille. , The seasonal adjusted series are of good quality with well-defined seasonal patterns., The number of families in the publications of the families' purchase of or access to private cars are fully compatible with the numbers in the area of population statistics., Read more about accuracy and reliability, Timeliness and punctuality, Newly registered vehicles, monthly: Publishing time 2023 9,75 days. , Energy efficiency for newly registered private cars, yearly: Publishing time 2024 88 days, “Motorparken” yearly: expected publication time 2024 88 days., Families' car purchases, annual: Publication time 2023 183 days., Families car availability, yearly: Publication time 2022 177 days. , The value of newly registered private cars, yearly: publication time 2023 64 days. , The register is updated 3 days after the end of the preceding month's calculations., Read more about timeliness and punctuality, Comparability, The statistics are compiled since 1992, and are comparable from 1992 and onwards., There are only limited differences between the statistical concepts in Denmark and other countries and they have no influence on the main figures., There have since 1994 been a few alterations with respect to employment status/job groups, definition of families, municipalities and weight limits. There is therefore no full comparability over time at a detailed level within these., The transition from CRM to the Digital Motor Register, DMR has caused no breaks in data., Read more about comparability, Accessibility and clarity, The statistics are published in News from Statistical Denmark:, Latest article with new registrations in News from Statistics Denmark, Latest article with stock figures in News from Statistics Denmark, Paid services with individual and tailor-made tables as well as research access are obtainable. See:, DST Consulting, Research Services homepage, Documentation of the car register and its data, Segment overview, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/car-register-and-publications

      Documentation of statistics

      Documentation of statistics: Banks and mortgage-credit institutions (Discontinued)

      Contact info, Government Finances, Economic Statistics , Alon Teodor Clausen , +45 20 56 34 68 , ATC@dst.dk , Get documentation of statistics as pdf, Banks and mortgage-credit institutions 2022 , Previous versions, Banks and mortgage-credit institutions 2021, Banks and mortgage-credit institutions 2020, Banks and mortgage-credit institutions 2019, Banks and mortgage-credit institutions 2018, Banks and mortgage-credit institutions 2017, Banks and mortgage-credit institutions 2016, The purpose of these statistics is to quantify the activity of banks and mortgage-credit institutes at an aggregated level, as well as provide key figures for the financial sector., Statistical presentation, The statistics are an annual statement of the banks and mortgage-credit institutes total income statement, the number of banks and mortgage institutes, the number of employees in banks and the key figures for the entire financial sector., Read more about statistical presentation, Statistical processing, Compared to the source data the wording of certain items can be changed or aggregated., Read more about statistical processing, Relevance, The primary users are public authorities, private business sector and interested citizens., Read more about relevance, Accuracy and reliability, The overall accuracy is considered very high. All data comes from the Danish FSA. In general the sector is subject to a great degree of awareness. For further information please refer to the Danish FSA., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 11 months after the end of the reference year. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, Similar statistics are available in other countries. These statistics are comparable since the 2001., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Banks and mortgage-credit institutes, and in the , Statistical Yearbook, . For more information go to the subject pages for , Banks, and , Mortgage-credit institutes, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/banks-and-mortgage-credit-institutions--discontinued-

      Documentation of statistics

      Documentation of statistics: Accounts Statistics by Industry

      Contact info, Food Industries, Business Statistics , Charlotte Wind von Bennigsen , +45 24 21 42 30 , cwb@dst.dk , Get documentation of statistics as pdf, Accounts Statistics by Industry 2024 , Previous versions, Accounts Statistics by Industry 2023, Accounts Statistics by Industry 2022, Accounts Statistics by Industry 2021, Accounts Statistics by Industry 2020, Accounts Statistics by Industry 2019, Accounts Statistics by Industry 2018, Accounts Statistics by Industry 2017, Accounts Statistics by Industry 2016, Accounts Statistics by Industry 2015, Accounts Statistics by Industry 2014, Accounts Statistics by Industry 2012, The purpose of the present version of accounts statistics for primary industries is to compile statistics on agriculture, fishery and aquaculture which are comparable with accounts statistics on private non-agricultural industries. Furthermore the purpose is to analyze the economics in the primary industries and can be the basis for business policy decisions. In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts. Data is available for 2008 and forward., Statistical presentation, The purpose of the statistics is to analyze the activity level and the structure of the Danish primary industries yearly. The basis of the statistics is detailed accounts items e.g. turnovers, costs, profits, assets, debts and investments. This statistics is a further processing of the data collected to the accounts statistics on agriculture, fishery and aquaculture., Read more about statistical presentation, Statistical processing, The preparation of data is mainly done when the accounts statistics on agriculture, fishery and aquaculture is made. Data is checked carefully on a individual basis. Enterprises with less than 0,5 person employed (paid or own occupation) are deselected. There is not implied further editing to the data., Read more about statistical processing, Relevance, The statistics is relevant because it compares the statistics on the primary industries to the statistics on non-agricultural accounts. In addition it is also input to the national accounts., Read more about relevance, Accuracy and reliability, The statistics are compiled on the basis of a sample population and consequently, the results are subject to some degree of statistical uncertainty. However the reliability on the statistics is considered to be good., This assessment is based on a representation of agricultural land, livestock and turn-over for fisheries and aquaculture. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published every and are expected to be published in April, 16 month after the ending of the accounting year. The statistics are released on time, with no delays relative to the planned publication dates., Read more about timeliness and punctuality, Comparability, The main purpose of the accounts statistics for the primary industries is that the results from the primary industries are comparable with the non-agricultural industries., Internationally the accounts data on agriculture are delivered to FADN while the accounts statistics on fishery and aquaculture is delivered to DG Mare, which compares the results with other EU countries., Read more about comparability, Accessibility and clarity, The statistics are available from StatBank Denmark under the subject , Enterprise finance and accounts, . The statistics is not published other places than in StatBank Denmark., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-by-industry

      Documentation of statistics

      Documentation of statistics: International Trade in Goods by Enterprise Characteristics

      Contact info, External Economy , Søren Burman , +45 30 51 45 62 , SBU@dst.dk , Get documentation of statistics as pdf, International Trade in Goods by Enterprise Characteristics 2022 , Previous versions, International Trade in Goods by Enterprise Characteristics 2021, International Trade in Goods by Enterprise Characteristics 2019, International Trade in Goods by Enterprise Characteristics 2018, International Trade in Goods by Enterprise Characteristics 2017, The purpose of Trade in Goods by Enterprise Characteristics (TEC) is to describe enterprises engaging in foreign trade, how large they are, which economic sector they belong to, how many countries they trade with etc. These statistics have been compiled since 2010 are comparable until 2018 for legal units. From 2019 and onwards the statistics have been compiled on the basis of the enterprise unit., Statistical presentation, Trade in Goods by Enterprise Characteristics is an annual measurement of enterprises involved in foreign trade and their characteristics, stated in number of enterprises and value. The statistics are grouped by economic activity, enterprise size, partner countries, ownership, type of trade and concentration of trade until 2022. From 2023 the statistics will be a measurement of enterprises involved in foreign trade and their characteristics, stated in value and they will be grouped by economic activity, items, enterprise size and ownership. The statistics can be found in our statbank under the subject External Economy. , Read more about statistical presentation, Statistical processing, These statistics are compiled by combining data for International Trade in Goods (ITGS) with Business register data. Data is validated by comparing data with the sources used for compiling the statistics and by comparing the different tables compiled in this statistic., Read more about statistical processing, Relevance, These statistics are relevant for analysts and enterprises, for analyses of e.g. globalization and enterprises which contribute to external trade in Denmark., Read more about relevance, Accuracy and reliability, The accuracy for International Trade in Goods by Enterprise Characteristics is closely related to the accuracy of International Trade in Goods Statistics which is high on an aggregated level. The revisions follow the revision structure of International Trade in Goods Statistics., There may be changes in enterprise characteristics (e.g. size, industry and ownership) during a given year, which can give rise to a change the trade flows, but the statistics reflect the characteristics at the end of the year., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 10 months after the reference period. They are published without any delays., Read more about timeliness and punctuality, Comparability, These statistics have been disseminated since 2014 and contains values from 2010 and onwards. It is in its present form comparable from 2010 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other EU countries published by Eurostat. The comparability can be influenced by the difference between the general- and special trade system., Read more about comparability, Accessibility and clarity, These statistics are published annual in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the , International Trade in Goods, . The statistics can also be found in various publications and analysis’ and it is possible to gain access to microdata through our program for authorized research institutions., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/international-trade-in-goods-by-enterprise-characteristics

      Documentation of statistics

      Documentation of statistics: Employment Statistics for Graduates within Arts and Culture

      Contact info, Labour Market , Pernille Stender , +45 24 92 12 33 , PSD@dst.dk , Get documentation of statistics as pdf, Employment Statistics for Graduates within Arts and Culture 2019 , Previous versions, Employment Statistics for Graduates within Arts and Culture 2018, Employment Statistics for Graduates within Arts and Culture 2017, Employment Statistics for Graduates within Arts and Culture 2016, These statistics estimate how graduates from artistic and cultural education, subsequently fare in the labor market, for up to 10 years after graduation. These statistics are comparable from 2010 onwards., Statistical presentation, The statistics are an annual statement of key figures on unemployment rates for graduates, the employment rate, the number of employed and the average incomes, for persons who have completed artistic and cultural education. The statistics are grouped by educational institution, education, gender, income type, unemployment type, sector, and geographical by place of work., Read more about statistical presentation, Statistical processing, Information about graduates within arts and culture is reported to Statistics Denmark by the institutions of higher education within arts and culture. The information is complemented with information from the populations statistics, the educational statistics, the register-based labour force statistics , the register-based unemployment statistics and the income statistic., Read more about statistical processing, Relevance, The statistics was originally made as a tailor made solution for the Rectors' Conference. When the responsibility for the cultural statistics where handed over to statistics Denmark, Statistics Denmark also got the responsibility for the employment statistics for graduates within arts and culture., Read more about relevance, Accuracy and reliability, It is not possible to calculate the margins of statistical error. The statistics are compiled for the whole population and, therefore, there is no sample error., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published 3-5 months after the latest input data source has been published. The latest data source is the register-based labour force statistics which is published 14-16 after the reference point in time., Read more about timeliness and punctuality, Comparability, The statistics are comparable from 2007 to 2010 and again in the current time series from 2010 onwards. Data breaches in 2010 are due to a number of mergers of educational institutions in the years from 2009 to 2011. There are no international standards for graduates from artistic and cultural educations' subsequent connection to the labor market. The statistics are therefore not directly comparable with statements from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Culture, education and employment, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employment-statistics-for-graduates-within-arts-and-culture

      Documentation of statistics

      Documentation of statistics: Government budget allocations for research and development

      Contact info, Government Finances, Economic Statistics , Jeppe Føge Jensen , +45 24 76 70 09 , JFJ@dst.dk , Get documentation of statistics as pdf, Government budget allocations for research and development 2026 , Previous versions, Government budget allocations for research and development 2025, Government budget allocations for research and development 2024, Government budget allocations for research and development 2023, Government budget allocations for research and development 2022, Government budget allocations for research and development 2021, Government budget allocations for research and development 2020, Government budget allocations for research and development 2019, Government budget allocations for research and development 2018, Government Budget on Appropriations and Outlays to Research and Development 2017, Government Budget on Appropriations and Outlays to Research and Development 2016, Government Budget on Appropriations and Outlays to Research and Development 2013, The statistic give information on the general government budget for research and development from 2001 onwards. The Ministry of Finance is in charge of the bigger part of the data collection., Statistical presentation, The purpose of the GBARD-statistics is to inform on the public funds available for research and development. The information includes information on the amounts available from the different parts of General Government., Read more about statistical presentation, Statistical processing, Data are received and published once a year. The primary data source is the State Budget for Research and Development, though Statistics Denmark gathers data from additional sources as well. The Ministry of Finance ensures quality control of reported data based on the state budget. In a few cases Statistics Denmark examines further the relevance of reported data., Read more about statistical processing, Relevance, Reporting of the data to the EU is regulated by order., Read more about relevance, Accuracy and reliability, Quality is expected to be good as data is reported directly from the ministries responsible for the accounts with research and development and as the Ministry of Finance validates the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic comprises data on the state budget which are published in the beginning of the reference year, and data on other parts of the GBARD-statistic which are published half a year later., The statistic is usually published without delays., Read more about timeliness and punctuality, Comparability, The statistic is comparable with GBARD-statistics for other countries., Read more about comparability, Accessibility and clarity, Data are available in Statbank in the tables: FOUBUD, FOUBUD1, FOUBUD4, FOUBUD5. Data is not published in a dedicated publication. , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-budget-allocations-for-research-and-development

      Documentation of statistics

      Documentation of statistics: Convictions

      Contact info, Personal Finances and Welfare, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Convictions 2025 , Previous versions, Convictions 2024, Convictions 2023, Convictions 2022, Convictions 2021, Convictions 2020, Convictions 2019, Convictions 2018, Convictions 2017, Convictions 2016, Convictions 2015, Convictions 2014, Convictions 2013, Documents associated with the documentation, Engelsk_Voldtægtsforbrydelser_Domme (docx), Engelsk_Voldtægtsforbrydelser_Afgjorte biforhold (docx), The purpose of the statistics is to analyze the number of convictions for criminal offences in connection with offences against the penal code, the road traffic act and other special laws. The statistics on convictions for criminal offences date back to 1832, but are in its present form comparable from 1980 and onwards., Statistical presentation, The statistics shed light on the number of convictions for violation of the penal code, the road traffic act and other special legislation as well as the length of imprisonments. Convictions consist of imprisonments, fines, withdrawals and also acquittals. The statistics are divided after type of offence, type of conviction, sex, age, municipalities and regions., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Criminal Register - administered by the National Commissioner of the Danish Police. Data are delivered yearly via System-to-system transmission. The data go through a probability check in form of a comparison with data from the previous year, key variables are checked for valid values and irrelevant decisions are deleted. Based on the reported data the length of unsuspended and suspended sentences are calculated., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. The tables in the http://www.statbank.dk are used frequently. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The validity of the statistics on convicted criminal offences is considered to be good. The data come from a single administrative register and Statistics Denmark receives a single total extract annually., The statistics include all convictions registered in the central criminal register at the time the extract is done, typically about February 1st following the relevant year. A number of convictions made during the year will happen not to be registered at that time. That implies that the total number of convictions presumably is under-estimated., The statistics is only published as final figures., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 3 months after the end of the year. The punctuality is very high as the statistics usually are published without delay in relation to the scheduled time., Read more about timeliness and punctuality, Comparability, Since 1979, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. , Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark, . In StatBank the statistics are published under the subject , Convictions, . Besides this the statistics form part of Statistical Ten-Year Review. At Statistics Denmark's webpage the statistics furthermore are presented on its , Subject page, ., Read more about accessibility and clarity

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

      Documentation of statistics
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