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      Documentation of statistics: Population Projections

      Contact info, Population and Education, Social Statistics , Annika Klintefelt , +45 23 31 14 33 , AKF@dst.dk , Get documentation of statistics as pdf, Population Projections 2025 , Previous versions, Population Projections 2024, Population Projections 2023, Population Projections 2022, Population Projections 2021, Population Projections 2020, Population Projections 2019, Population Projections 2018, Population Projections 2017, Population Projections 2016, Population Projections 2015, Population Projections 2014, A population projection gives an estimate of the size and composition of the future population with respect to sex, age, municipality and origin. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development in recent years continues. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., Statistics Denmark has prepared population projections since 1963. Since 2010, the projections have been produced in collaboration with DREAM (Danish Research Institute for Economic Analysis and Modelling), which is an independent institution whose purpose it is to develop and maintain tools for structural policy analysis. , Statistical presentation, Based on the projection for all of Denmark, Statistics Denmark subsequently makes projections that can be disaggregated by sex, age, provinces and municipalities. As part of the projections, figures are also available on demographic changes in terms of liveborn children, deaths, immigrants and emigrants., Read more about statistical presentation, Statistical processing, The population projections are based on historical data regarding the composition of the population in terms of sex, age and ancestry as well as fertility, mortality, immigration and emigration, and internal migration., Assumptions on the future development in fertility, mortality and migration are necessary to be able to make the projections., The projections are made every year using the population on 1 January. They are released in the beginning of May., A projection is made for the whole country as well as projections for the 11 provinces and 98 municipalities., Read more about statistical processing, Relevance, The projections for municipalities are widely used by the municipalities, and they create the basis for the municipalities’ own projections, which often incorporate a number of local factors that are not part of Statistics Denmark’s projections. The municipalities may use the projections in their planning of institutions, schools and the need for nursing homes in the future. Local media across the country take great interest in Statistics Denmark’s projection., Read more about relevance, Accuracy and reliability, The population projection is built on previous years’ development and is an estimate of the population development. The estimate is subject to a number of conditions and assumptions on migration, mortality and fertility. The projection is based on the assumption that the development seen in recent years will continue. Often the development in e.g. in-migration is different from what was assumed and, for that reason, the projection will typically not match the actual development exactly., In 2024 the projection for Denmark was 0.1 percentage points below actual population growth. To a wide extent, the uncertainty at municipal level is linked to the fact that local development plans and local decisions are not part of the model. Especially in 2020 and 2021, the COVID-19 pandemic has created uncertainty. In 2024, 60 per cent of the municipalities were within minus 0.5 percentage points of the actual population growth the first year. , Read more about accuracy and reliability, Timeliness and punctuality, Statistics have been published as announced without delay in the month of May or June., Read more about timeliness and punctuality, Comparability, Each projection is a new set of statistics and must not be used for time series together with previous projections., With the projection 2010, Statistics Denmark made the projection for all of Denmark for the first time in collaboration with DREAM, and in connection with this, a switch was made to a new projection model based on DREAM’s previous model., Read more about comparability, Accessibility and clarity, The population projections are published in Nyt fra Danmarks Statistik (Statistics Denmark’s news series in Danish) under the subject , Population projections, . For further information, go to the subject page for these statistics., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/population-projections

      Documentation of statistics

      Documentation of statistics: Prices and price index for agriculture

      Contact info, Food Industries, Business Statistics , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Prices and price index for agriculture 2025 , Previous versions, Prices and price index for agriculture 2024, Prices and price index for agriculture 2023, Prices and price index for agriculture 2022, Prices and price index for agriculture 2021, Prices and price index for agriculture 2020, Prices and price index for agriculture 2019, Prices and price index for agriculture 2018, The purpose of these statistics is to illustrate the evolution of agricultural prices and price indices. The agricultural sales index illustrates price trends for both vegetable and animal sales products and services. A part of the statistics have been calculated since 1956, but since 1970 the most widely definition has been used, which includes horticulture, fur production and products from bees and wild game. , Statistical presentation, The Statistics contains for almost all items, monthly, quarterly and yearly information of agricultural prices, as well on sale products as on most products used in the intermediate consumption including capital formation. Some prices are only obtainable as price indices only, especially regarding intermediate consumption. The statistics covers both agriculture and horticulture. , Read more about statistical presentation, Statistical processing, Data for this statistics is collected at different frequencies from multiple sources. The collected data undergoes a simple validation. Once data is validated, aggregation occurs for a portion of data before publication, while other data is while other data is published directly. , Read more about statistical processing, Relevance, The statistics are used by agricultural organizations and ministries to monitor price developments within the industry as well as as a basis for various analyzes and forecasts. The basic data and results of the statistics are also applied to other statistical areas in Denmark Statistics, for example, for the calculation of the gross income of agriculture as used in the National Accounts., Read more about relevance, Accuracy and reliability, On some products, i.e. horticultural products, qualities and types are several and dynamic. It makes it a little difficult to be sure on the representatively on the prices followed. Concerning input prices based on general price statistics, the situation in agriculture are maybe not fully reflected. Some indices on volumes are indirectly measured based on values and price indices. This method can lead to inaccuracy. The declaration on content on Economic Account for Agriculture and these on animal production includes more information on possible inaccuracy. Because of the very different picture of sources, margins of statistical errors can not be calculated. However, for main output products, i.e. milk and meat, the coverage and accuracy are close to 100 per cent. Prices on cereals and feeding stuff (concentrates) are based on more that 70 per cent of total volume, which ensure high reliability. In general, the accuracy is highest on sales product and less high on intermediate consumption and goods for capital formation., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are usually published without any delay in relation to the published release times., Read more about timeliness and punctuality, Comparability, The statistics are comparable in their current form from 2005 onwards. The price indices are re-based approximately every five years, most recently in 2024 with base year 2020=100, which limits full comparability over long time periods. As of 2025, a new method for collecting fertiliser prices has been introduced, resulting in a data break affecting only the fertiliser price index. The overall price index for agricultural input consumption is still considered comparable over time. The statistics follow common European guidelines and are therefore comparable with similar statistics from other EU countries., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank, these statistics can be found under the subject , Prices and price index for agriculture, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/prices-and-price-index-for-agriculture

      Documentation of statistics

      Documentation of statistics: Museums

      Contact info, Science, Technology and Culture, Business Statistics , Christian Max Gustaf Törnfelt , +45 21 63 60 20 , CHT@dst.dk , Get documentation of statistics as pdf, Museums 2024 , Previous versions, Museums 2023, Museums 2022, Museums 2021, Museums 2020, Museums 2019, Museums 2018, Museums 2017, Museums 2015, Museums 2014, Museums 2013, The statistics have been compiled annually since 1984, but in 2016 they have undergone restructuring, which affects the number of the total number of guests in the museums. The state museums and the stat recognized museums continues unchanged., Statistical presentation, The statistic is yearly and it shows the number of visitors inclusive children and young people under 18 years. Furthermore it gather information about yearly opening hours. From 2022, the statistic also show the number of volunteers, hours worked by volunteers and the total admission revenue (incl. annual passes), as well as the number of events outside the premises of the museum and online events (live-streamed) and participants in the two type of events. The museums have different categories and the statistic delivers a time series on the number of visitors since 1984., Read more about statistical presentation, Statistical processing, Annual electronic questionnaires answered by the individual museums. The statistics on museums is validated and corrected at the micro level i.e. the individual museums. If a museum has large fluctuations in the number of visitors contacted the museum for a clarification of the cause. , Read more about statistical processing, Relevance, The overviews of the individual museums visitor numbers are much in demand., The users are primarily the Ministry of Cultural Affairs, The Danish Agency for Culture, organizations engaged in activities within in the field of museums and the news media, Read more about relevance, Accuracy and reliability, Reporting to the museum statistics is voluntary, so the statistics are not fully comprehensive. Several of the smaller museums do not have the resources to report to the statistics. There are also museums that are not state aid that have asked to be exempted from receiving a form., In 2016, schedules were sent out to 430 museum departments. In 2017, forms have been sent out to approx. 400 museum departments. In 2018, forms have been sent out to approx. 380 museum departments. In 2019 forms have been sent to approx. 370. The reason for sending fewer forms is due, for example, to the fact that museums close, exempt from the survey or have wanted to receive one report despite having several places. In 2020 forms have been sent to approx. 380 museum departments. In 2021 forms have been sent to approx. 460 museum departments. In 2022 forms have been sent to approx. 600 museum departments. The reason for the expanded population is due to a screening of potential museums based on the industry code in the Business Register. The reporters had to answer whether they had a collection that the public had access to. If they answered 'yes', they were included in the statistics. If they answered 'no', they were excluded. In 2023 forms have been sent to approx. 460 museum departments. In 2024 forms have been sent to approx. 450 museum departments. , Read more about accuracy and reliability, Timeliness and punctuality, Statistical data are published approximately 5 months after the end of the reference period. , Read more about timeliness and punctuality, Comparability, It is possible to compare the survey for visitors to state museums and state recognized museums. For museums with other state subsidies and not state-subsidized museums, there may be a variation in e.g. the number of visits etc., which is due to composition effects, and it is not necessarily the same museums or the same number of museums that are included in the population or report to the statistics each year. For museums with other state subsidies and not subsidized museums, comparison with data before 2016 should also be taken with reservation as population formation changed in 2016. EGMUS The European Group on Museum Statistics publishes numbers of museums for most European countries. Many countries collect only information about state-sponsored museums., Read more about comparability, Accessibility and clarity, The statistics are published as , New from Statistics Denmark, . The statistics under the topic [Museums and zoo] are published in StatBank. In addition, the statistics are included in the Statistical Yearbook and the Statistical Yearbook. Read more on the subject's subject page , Museums and zoos, ., There can also be talk about museums in the , Culture publication, . The Danes' use of museums can be found in the Cultural Swan Survey's , statistics bank tables, ., Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Balance of Payments

      Contact info, External Economy, Economic Statistics , Maria José Alvarez Pelaez , +45 30 66 03 21 , MJP@dst.dk , Get documentation of statistics as pdf, Balance of Payments 2024 , Previous versions, Balance of Payments 2023, Balance of Payments 2022, Balance of Payments 2021, Balance of Payments 2020, Balance of Payments 2019, Balance of Payments 2018, Balance of Payments 2017, Balance of Payments 2016, Balance of Payments 2015, Balance of Payments 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i Statistikbanken juni 2024 (pdf) (in Danish only), The balance of payments describes the economic transactions between Denmark and the rest of the world. The balance of payments for Denmark has been compiled since 1934, with a continuous time series available since 2005. Today the main emphasis is placed upon incomes and expenses in relation to foreign countries. Originally, the most important item was the foreign debt, which is compiled as part of the International Investment Position (IIP) – Denmark’s external assets and liabilities. Since 1991 the IIP has been compiled by Danmarks Nationalbank. The balance of payments statistics are compiled in cooperation between Danmarks Nationalbank and Statistics Denmark, the latter being responsible for publishing the consolidated statistics. , Statistical presentation, The balance of payments records the value of the economic transactions, which are made within a given period between the Danish balance of payments area and the rest of the world. There are three main accounts: the current account (trade in goods and services, primary and secondary income), the capital account and the financial account (arranging debts and receivables with foreign countries). The statistics shows the geographical distribution (counterpart countries). Danmarks Nationalbank compiles the financial account and the investment income of the balance of payments., Read more about statistical presentation, Statistical processing, The statistics are primarily compiled based on other statistics. The sources are used directly and as a basis for calculations of developments. Validation of the sources mainly occurs during the preparation of other statistics, but special validations are carried out across selected sources to ensure consistency between the sources. The validation particularly targets businesses' international organization of production. The sources are processed so that monthly balance of payments statements can be produced, even if some sources are compiled quarterly or annually. , Read more about statistical processing, Relevance, The publication of the balance of payments, particularly the monthly statement, often attracts significant public interest. The statistics are especially used by ministries, politicians, and economic stakeholders. The balance of payments is also used in the compilation of national accounts., Read more about relevance, Accuracy and reliability, The compilation of the balance of payment is mainly based on other statistics. Accordingly, the accuracy of the balance of payments statistics is very much dependent upon these statistics. Most importantly, there will be uncertainty associated with the first compilations of a period, as important information only becomes available later. Coverage is high as there is a particular focus on coverage in the largest sources. The biggest source of error is measurement errors in the sources that are survey-based. Ongoing validation is performed, so the accuracy of the first publications is lower as it takes time to resolve the validations. The calculations and model assumptions in the compilation are not considered to affect the overall accuracy of the main items in the balance of payments., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published quarterly, approximately 40 days after the end of the reference period. Main results are published monthly, approximately 40 days after the end of the relevant month. The final statistics are published approximately three years after the end of the reference period. Punctuality is exceptionally high. , Read more about timeliness and punctuality, Comparability, The compilation of the balance of payments follows the IMF's manual and is compiled back to 2005. There is thus comparability with other countries following the same manual and back to 2005. For the detailed items, there is no comparability with the series before 2005. The statistics on International Trade in Services are directly included in the compilation of the balance of payments. For International Trade in Goods, there are methodological differences, so there is a discrepancy between the two statistics. The balance of payments is part of the national accounts and is directly included as the sector rest of the world in the sector account of the national accounts., Read more about comparability, Accessibility and clarity, The latest figures are published in a monthly news article "Nyt from Statistics Denmark," and all figures can be found in the Statistics Bank. The balance of payments also has dedicated , homepage, . , Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/balance-of-payments

      Documentation of statistics

      Documentation of statistics: A-Income Statistics (income subject to provisional tax)

      Contact info, Labour Market, Social Statistics , Uwe Pedersen , +45 23 72 65 69 , UWP@dst.dk , Get documentation of statistics as pdf, A-Income Statistics (income subject to provisional tax) 2024 , Previous versions, A-Income Statistics (income subject to provisional tax) 2023, A-Income Statistics (income subject to provisional tax) 2022, A-Income Statistics (income subject to provisional tax) 2021, A-Income Statistics (income subject to provisional tax) 2020, A-Income Statistics (income subject to provisional tax) 2019, A-Income Statistics (income subject to provisional tax) 2018, A-Income Statistics (income subject to provisional tax) 2017, A-Income Statistics (income subject to provisional tax) 2016, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2015, A-Income Statistics (income subject to provisional tax) 2013, The purpose of the Provisional Income Statistics is to provide a more up to date picture of the compilation of income than is possible, by means of the final Personal Income Statistics. Compilation of the final Personal Income Statistics have to wait until the tax assessment process has reached a sufficiently acceptable level concerning the A-income (wages, salaries, unemployment benefits and social pensions etc.) and other income, e.g. entrepreneurial income. This does not apply to the Provisional Income Statistics., Statistical presentation, The a-income statistics mainly comprise of wages and transfers. It illustrates the level and composition of the a-income for the tax year and can be split into wages and various types of transfer incomes. The a-income amounts to 90 per cent of the total gross income. The statistics are based on the provisional tax statement for the income. The data is acquired four months after the end of the tax year. The final income statistics is based on a-incomes acquired eight month after the end of the tax year. The final statistics are based on the Statistics Denmark's Register of Incomes Statistics., Read more about statistical presentation, Statistical processing, The type of income in the e-income register is adjusted in-case of inconsistencies between the filing-entity and the type of income., The total transfers are grouped into the different type of transfers by merging the e-income register with the register of people receiving public benefits., Data on specifically 2020 and 2021 are supplemented with data from the Danish Business Authority on employer´s compensation on wages and salaries paid to staff, not able to work during the lockdown, caused by the COVID-19 pandemic., Read more about statistical processing, Relevance, One or two annual meeting with some of the main users of the income and wealth statistics is held in Statistics Denmark. On a daily to weekly basis users call with questions related to the statistics. Trough these interactions with the users we assess the need for improvements of the statistics., Read more about relevance, Accuracy and reliability, All persons receiving unemployment income is included in the statistics., As we are dealing with a provisional data based on relatively early data from the e-income Register the data are subject to certain margins of inaccuracy. The data may be revised by the Tax authorities after the date on which we extract the information from the Register. This applies in particular to the salary information slips containing wages and salaries. However, the uncertainty caused by the revisions linked to the income data is marginal., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 4 to 5 months after the reference period. The statistics are published as planned., Read more about timeliness and punctuality, Comparability, Changing several social benefits from net sum into gross sum (taxable) in connection with the tax reform of 1st January 1994 has caused a minor break in the time series from 1993 to 1994. , There are no similar statistics internationally., Read more about comparability, Accessibility and clarity, The statistics are published on our , website, , in an annual , newsletter, and via the Statistikbanken)., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/a-income-statistics--income-subject-to-provisional-tax-

      Documentation of statistics

      Documentation of statistics: Producer and Import Price Index for Commodities

      Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , nel@dst.dk , Get documentation of statistics as pdf, Producer and Import Price Index for Commodities 2025 , Previous versions, Producer and Import Price Index for Commodities 2024, Producer and Import Price Index for Commodities 2023, Producer and Import Price Index for Commodities 2022, Producer and Import Price Index for Commodities 2021, Producer and Import Price Index for Commodities 2020, Producer and Import Price Index for Commodities 2019, Producer and Import Price Index for Commodities 2018, Producer and Import Price Index for Commodities 2017, Producer and Import Price Index for Commodities 2016, Producer and Import Price Index for Commodities 2015, Producer and Import Price Index for Commodities 2014, The statistics Producer and Import Price Index for Commodities show the price development of commodities in the first stage of transaction. The primary use is as deflators (converting nominal values to real values), but is also used as a business cycle indicator and for contract adjustments in the business sector. The index can be divided into Producer price index for commodities, Import price index for commodities and Price index for domestic commodities supply. The Price index for domestic supply of commodities can be traced back to 1876 and in the current form back to 1981. Producer Price Index for Commodities dates back to 2000 and Import Price Index for Commodities to 2005., Statistical presentation, The Producer and Import Price Index for Commodities contains monthly indices of the price development of commodities in the first stage of turnover (business-to-business), i.e. typically sales from producer to wholesaler or retailer, for commodities produced by Denmark for the domestic market and export, or for commodities imported into Denmark. The statistics are divided by product and industry groups., Read more about statistical presentation, Statistical processing, Approximately 7800 prices from selected producers and importers in Denmark. Of these, approximately 3800price reports for calculation of Producer Price Index for Commodities, approximately 3600 for calculation of Import Price Index for Commodities and approximately 5900 price reports are used to calculate the Price Index for Domestic Supply. The prices are validated automatically in connection with the collection. Unusually large price developments are subsequently checked manually. The validated price developments are then aggregated in a hierarchical system, where they are given weight according to their significance to the overall price index., Read more about statistical processing, Relevance, The Producer and Import price index for commodities serves as economic key figures, cyclical indicator, deflator and a contract regulations tool. The primary users of the statistics are the Danish National Accounts, business and stakeholders in the Danish economy. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue in the Danish economy. Weights are based on the National Accounts product balances, which covers the main part of trading in the first stage of sales within the delimitation of the statistics. Sample units are selected on a purposive basis using a top-down approach. As a random sampling method is not being utilised a subsequent assessment of sampling error is not enabled. , Published statistics are considered final. , Producer and import price index for commodities are not considered to have an increased uncertainty due to COVID-19. Data collection has been largely not impacted as a result of the crisis and subsequent non-response levels have remained at their historically low levels., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published on a monthly basis. The statistics for a given month are published on the 15th of the following month or the first business day thereafter. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Statistics Denmark has calculated variations of this statistic since 1876. The Producer and import price index for commodities can be found as an unbroken monthly time series from 2005 to today. The statistics have been prepared according to international standards and can therefore be compared to similar statistics from other European countries., Read more about comparability, Accessibility and clarity, The statistics are published monthly by Statistics Denmark via press release ", Nyt fra Danmarks Statistik, " (in Danish only) and specifically regard Producer and Import Price Index for Commodities., In the StatBank, the statistics are published under the topic , Producer and import price index for commodities, . , For more information visit the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/producer-and-import-price-index-for-commodities

      Documentation of statistics

      Documentation of statistics: Household Budget Survey

      Contact info, Prices and Consumption, Economic Statistics , A Solange Lohmann Rasmussen , +45 61 15 17 93 , slr@dst.dk , Get documentation of statistics as pdf, Household Budget Survey 2023 , Previous versions, Household Budget Survey 2022, Household Budget Survey 2021, Household Budget Survey 2020, Household Budget Survey 2019, Household Budget Survey 2018, Household Budget Survey 2017, Household Budget Survey 2016, Household Budget Survey 2015, Household Budget Survey 2014, Household Budget Survey 2013, The Household Budget Survey describes in detail the Danish households' expenditure on goods and services and the economic condition of the households. The statistics are used to compile weightings in the Consumer Price Index and for calculation of the private consumption in the National Accounts. The statistics were first compiled in 1897 and annually since 1994., Statistical presentation, The Household budget survey is an annual statement of the detailed private consumption at household level for private households in Denmark. The survey covers private households in Denmark. The household budget survey provides a detailed breakdown of consumption. In the most detailed breakdown, consumption is divided into approx. 1,200 different consumption types., Read more about statistical presentation, Statistical processing, The survey is based on a sample where the number of households accounts for about 2,200 out of Denmark's total of approximately 2.8 million households. , The survey included data from three different data sources: Accounting booklets, CAPI interviews and data from registers. In this way the sample can give results which are good approximations for all private households. The data from the 3 different sources are validated. We are constantly looking at how we can improve and compile the statistic in a more efficient way., Data is collected annually from approximately 1,100 households and the sample for one years household budget survey is based on the sample from two years. All expenses, income, etc. are converted to the price and volume level of the end year., Read more about statistical processing, Relevance, In addition to the general public the Household Budget Survey has a wide application. Internally in Statistics Denmark during the compilation of national accounts and price indexation. Public authorities' planning and feasibility studies, etc. Internationally, where especially EUROSTAT is very active in order to establish comparable figures between countries. Research in a number of areas, as well as for marketing purposes., Read more about relevance, Accuracy and reliability, With only 12 pct. of the households who have been contacted participating in the Household Budget Survey. This creates uncertainty, not least for detailed consumer groups. For total consumption, this means that there is an uncertainty margin of +/- 1.8 per cent. while that for that for bread is 2 per cent. and 24 per cent. for a rarely purchased item such as offal. There is underreporting in a number of areas such as alcohol, tobacco, prostitution and undeclared work. The uncertainty is greater when data is based on accounting rather than interviews, and it will be greater if one looks at smaller subgroups of households., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately12 months after the end of the reference year. The statistics are usually published according to the time announced. , Read more about timeliness and punctuality, Comparability, The Household Budget Survey is conducted in accordance with guidelines from the European statistical agency Eurostat. Comparable figures are published by Eurostat. Since 1994, the survey has been methodologically rearranged and is now conducted annually by the same method and on a comparable basis., Data for 2014 and onwards are based on a two-year-old sample and COICOP5 nomenclature (Classification of Individual Consumption). To ensure comparability and continuity over time, data from 1994 to 2013 were recalculated in compliance with the new nomenclature in both current and constant prices, From 2023 onwards, data is based on the COICOP2018 nomenclature. To ensure comparability and continuity over time, data from 2015 to 2022 has been recalculated according to new nomenclature in both current and fixed prices., Read more about comparability, Accessibility and clarity, The Danish Household Budget Survey is published 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 , Household Budget Survey, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/household-budget-survey

      Documentation of statistics

      Documentation of statistics: Reported Criminal Offences (Quarterly)

      Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , ipe@dst.dk , Get documentation of statistics as pdf, Reported Criminal Offences (Quarterly) 2025 Quarter 2 , Previous versions, Reported Criminal Offences (Quarterly) 2025 Quarter 1, Reported Criminal Offences (Quarterly) 2024 Quarter 4, Reported Criminal Offences (Quarterly) 2024 Quarter 3, Reported Criminal Offences (Quarterly) 2024 Quarter 2, Reported Criminal Offences (Quarterly) 2024 Quarter 1, Reported Criminal Offences (Quarterly) 2023 Quarter 4, Reported Criminal Offences (Quarterly) 2023 Quarter 3, Reported Criminal Offences (Quarterly) 2023 Quarter 2, Reported Criminal Offences (Quarterly) 2023 Quarter 1, Reported Criminal Offences (Quarterly) 2022 Quarter 4, Reported Criminal Offences (Quarterly) 2022 Quarter 3, Reported Criminal Offences (Quarterly) 2022 Quarter 2, Reported Criminal Offences (Quarterly) 2022 Quarter 1, Reported Criminal Offences (Quarterly) 2021 Quarter 4, Reported Criminal Offences (Quarterly) 2021 Quarter 3, Reported Criminal Offences (Quarterly) 2021 Quarter 2, Reported Criminal Offences (Quarterly) 2021 Quarter 1, Reported Criminal Offences (Quarterly) 2020 Quarter 4, Reported Criminal Offences (Quarterly) 2020 Quarter 3, Reported Criminal Offences (Quarterly) 2020 Quarter 2, Reported Criminal Offences (Quarterly) 2020 Quarter 1, Reported Criminal Offences (Quarterly) 2019 Quarter 4, Reported Criminal Offences (Quarterly) 2019 Quarter 3, Reported Criminal Offences (Quarterly) 2019 Quarter 2, Reported Criminal Offences (Quarterly) 2019 Quarter 1, Reported Criminal Offences (Quarterly) 2018 Quarter 4, Reported Criminal Offences (Quarterly) 2018 Quarter 3, Reported Criminal Offences (Quarterly) 2018 Quarter 2, Reported Criminal Offences (Quarterly) 2018 Quarter 1, Reported Criminal Offences (Quarterly) 2017 Quarter 4, Reported Criminal Offences (Quarterly) 2017 Quarter 3, Reported Criminal Offences (Quarterly) 2017 Quarter 2, Reported Criminal Offences (Quarterly) 2017 Quarter 1, Reported Criminal Offences (Quarterly) 2016 Quarter 4, Reported Criminal Offences, Quarter 2016 Quarter 3, Reported Criminal Offences, Quarter 2016 Quarter 2, Reported Criminal Offences, Quarter 2016 Quarter 1, Reported Criminal Offences, Quarter 2015 Quarter 4, Reported Criminal Offences, Quarter 2015 Quarter 3, Reported Criminal Offences, Quarter 2015 Quarter 2, Reported Criminal Offences, Quarter 2015 Quarter 1, Documents associated with the documentation, Rape: Reported criminal offences 2025Q2 (docx), The purpose of the statistics is to show the number of criminal offenses in violation of the penal code and the special laws (except those contained in the Danish Road Traffic Act) to the police. The statistics on reported criminal offences date back to 1921, but are in its present form comparable from 1995 onwards., Statistical presentation, The statistics are a quarterly statement of the number of offences of penal code and special laws/legislation reported to the police or discovered by the police itself. The reported criminal offences can be broken down by type of offenses and geographical on regions and municipalities., Read more about statistical presentation, Statistical processing, The source of the statistics is The Central Register of Reported Criminal Offences - administered by the National Commissioner of the Danish Police. Data are delivered quarterly 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 offences are deleted., Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organizations, researchers, the press etc. as a basis for public and private planning, training, research and public debate. Views and suggestions from key users are taken into consideration in the preparation of the statistics., Read more about relevance, Accuracy and reliability, The statistics are made based on the data recorded at the time the extract is made. There is also produced an annual statistics for this area which is more complete. Comparisons between the quarterly statistics and the annual statistics reveal that the quarterly statistics under-estimate the number of reported criminal offences with approximately 6 percentages. There is, from quarter to quarter, a shift in the data; part of the registered reported crimes in a given quarter may refer to a previous quarter., The statistics do not include information on the hidden criminality, i.e. committed criminal offences not reported to the police., Read more about accuracy and reliability, Timeliness and punctuality, The publishing time for the statistics is about 20 days. The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been prepared on the same basis since 1995. Due to changes in the grouping of the criminal offences caution should be shown by comparing figures over time before this year., Read more about comparability, Accessibility and clarity, The statistics are publiced in StatBank under the subject , Anmeldte forbrydelser, Furthermore the numbers are included in the publication , Kriminalitet (Criminality), . Se more on the statistics , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/reported-criminal-offences--quarterly-

      Documentation of statistics

      Documentation of statistics: Research Education

      Contact info, Population and Education, Social Statistics , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, Research Education 2024 , Previous versions, Research Education 2023, Research Education 2022, Research Education 2021, Research Education 2020, Research Education 2019, Research Education 2018, Research Education 2017, Research Education 2016, Research Education 2015, Research Education 2014, Research Education 2013, The aim of the statistics on PhD-students is to show the volume of PhD-education. Furthermore it gives information on the progress of the education and the subjects of the project. Data are comparable since mid-eighties which is as long the PhD education has existed in Denmark., Statistical presentation, The statistics gives information on numbers of PhD-students and numbers of PhD-graduates at institutions approved to offer PhD-educations in Denmark. The statistics gives information on the progress of the education, under here schemes and special arrangements, periods of leave, and study periods spent abroad. The statistics also gives information on the subjects of the project and on sources of financing. The statistics also covers doctorate granted after §15,2, according to this paragraph a doctorate can be granted based exclusively on a positive evaluation of a thesis without participation in an education., Read more about statistical presentation, Statistical processing, The statistics is based on reports from all Danish institutions approved to offer PhD-educations. The data collection covers the total population. The reported data from each respondent is examined carefully. The examination is concentrated on missing data for each respondent. It is also checked if consistent information are reported for each student. Data reported from a university is furthermore compared to data for previous time periods. , In case of missing data or unexpected trends the respondent is contacted for verification of the reported data., A year late, the Ph.D. registry is also part of the Student registry and checked according to the standard processes there as well., Read more about statistical processing, Relevance, These statistics are relevant for Ministries, Universities, Public service, Business organizations, Media and Researchers, for research and analyses. The statistical data are also used in other areas within Statistics Denmark as education statistics are relevant in many contexts. , Read more about relevance, Accuracy and reliability, All universities and other Institutions approved to offer PhD-educations reports data. Concerning the central units: PhD-students and PhD-graduates, the quality is considered as being very good as the corrections-procedures are very thoroughly. Concerning the information on Main field the quality is considered as good, but since it is based on the students institutional setting and the Faculty structure is under reconstruction these years the accuracy of this information can be affected in a few cases., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published during spring after the reference year. Data collection and data processing have been under revision and the production time has therefore been shortened compared to earlier years., Read more about timeliness and punctuality, Comparability, Comparability over time for the main variables is good. The statistics also contains information on education schemes, research topics, financing, stays abroad and employment. the content of these variables has changed over the years, but have been consistent since 2009., International comparability of statistics on number of PhD-students are considered to be very good. Concerning international comparability of statistics on the education level of the population, countries using surveys have the possibility of including persons, who have obtained the PhD-degree abroad. These group is in most cases not included in the Danish statistics., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , PhD programmes, . For further information, go to the , subject page, . Tailor-made statistics is available via , DST Consulting, . Micro-data is accessible via Statistics Denmark's , Research Services, Read more about accessibility and clarity

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

      Documentation of statistics

      Documentation of statistics: Production and Turnover in Manufacturing Industries

      Contact info, Short Term Statistics, Business Statistics , Mathias Dybdahl Bluhme , +45 40 22 56 37 , MDB@dst.dk , Get documentation of statistics as pdf, Production and Turnover in Manufacturing Industries 2025 , Previous versions, Production and Turnover in Manufacturing Industries 2024, Production and Turnover in Manufacturing Industries 2023, Production and Turnover in Manufacturing Industries 2022, Production and Turnover in Manufacturing Industries 2021, Production and Turnover in Manufacturing Industries 2020, Production and Turnover in Manufacturing Industries 2019, Production and Turnover in Manufacturing Industries 2018, Production and Turnover in Manufacturing Industries 2017, Production and Turnover in Manufacturing Industries 2016, Production and Turnover in Manufacturing Industries 2015, Production and Turnover in Manufacturing Industries 2014, Documents associated with the documentation, Mængdeberegninger for medicinalindustrien i Industriens Produktion og Omsætning (IPO) og det Kvartalsvise Nationalregnskab (KNR) (pdf) (pdf) (in Danish only), The purpose of the statistics Industry's production and turnover is to shed light on developments in the industry. It is primarily used for assessments of economic developments in industry in Denmark., The statistics are part of the EU's common short-term statistics and date back to 1974, but in their current form are comparable from 1985 onwards for most industries., Statistical presentation, The statistics are a monthly statement of the production and turnover index for the industry. The statistics are divided into five groups defined on the basis of the use of goods and services (eg production of durable and non-durable consumer goods) and the main groups mining and quarrying (B), manufacturing (C) and energy supply (D) and 12 main industry groups under main group C, which follow the Danish industry nomenclature DB07. The turnover index is also calculated by dividing a domestic market turnover index and an export turnover index. All figures are published both adjusted for seasonal fluctuations and in actual figures., Read more about statistical presentation, Statistical processing, Every month, information is collected on the value of turnover and stock from a sample of approx. 1,000 industrial companies in Denmark. For most, this is done using online questionnaires, but for about 20 per cent. of the companies, the information can instead be collected from statistical registers. The received data is debugged and production is calculated based on turnover and stock figures. Then the data is weighted so that a production and a turnover index can be calculated that represents the entire manufacturing industry in Denmark. The results are seasonally adjusted to eliminate normal seasonal fluctuations, Read more about statistical processing, Relevance, The development of the production and turnover indices are primary used for manufacturing industry business cycle analyses and as input for the national accounts. Various users include industry organisations, public authorities and the news media. Form and content as well as comparisons with other statistics are continuously discussed at manufacturing industry user committee meetings., Read more about relevance, Accuracy and reliability, There is some sampling uncertainty as the statistics are based on a sample of companies. In addition, there are a number of assumptions in calculations, eg in connection with the valuation of inventories. In the first version of the numbers, there is a bit of a lapse., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published between 35 and 40 days after the end of the month. The punctuality is high, with very few delays in relation to the scheduled release dates. , Read more about timeliness and punctuality, Comparability, The current time series goes back to year 2000, and it has a high degree of comparability over time. The time series can for most industries be linked to data of previous years, resulting in a comparable time series going back to year 1985. The international comparability with similar statistics from other EU countries is very high., Read more about comparability, Accessibility and clarity, New figures are published in a monthly news article News from Statistics Denmark, and all figures can be found in , Statbank Denmark, ., The statistics also have a , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/production-and-turnover-in-manufacturing-industries

      Documentation of statistics
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