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      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: International Trade in Goods

      Contact info, External Economy, Economic Statistics , Stefan Gottschalck Anbro , +45 51 60 58 46 , SFB@dst.dk , Get documentation of statistics as pdf, International Trade in Goods 2024 , Previous versions, International Trade in Goods 2023, International Trade in Goods 2022, International Trade in Goods 2021, International Trade in Goods 2020, International Trade in Goods 2019, International Trade in Goods 2018, International Trade in Goods 2017, International Trade in Goods 2016, International Trade in Goods 2015, International Trade in Goods 2014, Documents associated with the documentation, Omlægning af tabeller om betalingsbalance og udenrigshandel i statistikbanken den 10. juni 2024 (pdf) (in Danish only), The statistics shows the development in Denmark's external trade in goods at a detailed level (imports and exports) by country and type of commodity. The statistics have been compiled regularly since 1838 covering 1836 and onwards., Statistical presentation, The statistics show Denmark's imports and exports of goods from/to all countries in the world distributed by about 9,300 different commodity codes. The statistics do not cover the External trade of the Faroe Islands and Greenland., Read more about statistical presentation, Statistical processing, Trade data is collected on monthly basis using the various data sources. The collected data are validated for logical errors and completeness and a credibility check of the reported data is carried out., The collected data are used to compile the trade figures and full coverage of trade is ensured by estimation for missing. There is thus full coverage of International Trade in Goods in the disseminated statistics. , In connection with the release of trade figures some time series are seasonal adjusted and furthermore indices are calculated., Read more about statistical processing, Relevance, There is great interest in the disseminated statistics of External Trade in Goods among users who monitor the Danish economy. The statistics are demanded widely by trade and industry organisations, the bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media, embassies and international organisations. , The statistics is also used for compilation of National Accounts and Balance of Payments Statistics. Furthermore, Eurostat use the statistics to make joint EU trade statistics., The users view the External Trade in Goods Statistics as an important short term indicator, and it often gets a lot of attention in the media and amongst professional users., Read more about relevance, Accuracy and reliability, The reliability of the final statistics at aggregated level is relatively high. In Extrastat, the reliability at detailed commodity/country levels is also high, while the reliability is comparatively lower in Intrastat due to the margins of uncertainty involved in estimating trade by enterprises exempted from reporting data., However, the first publications of the external figures are subject to some uncertainty, as a relatively high number of errounous data reports cannot be included at the time of publication. Compensation for this is made by estimation and a later correction. The reliability of figures for a given month is greatly increased by later publications of statistics. Similarly, the highest reliability is achieved at aggregated level., Read more about accuracy and reliability, Timeliness and punctuality, Aggregated statistics for selected countries and country groups and for aggregated commodity groups are published monthly 40 days after the end of the reference period. Detailed statistics are published 70 days after the end of the reference period., The statistics are usually published without delay in relation to the scheduled date, which is announced at least 3 months in advance on Statistics Denmark's website, Read more about timeliness and punctuality, Comparability, At overall level, the statistics are comparable across time and with statistics from other countries., Read more about comparability, Accessibility and clarity, These statistics are published monthly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under , International trade in goods, . For further information, go to the , subject page, . , Read more about accessibility and clarity

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

      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

      Documentation of statistics: Purchasing Power Parities (PPP)

      Contact info, Prices and Consumption, Economic Statistics , Zdravka Bosanac , +45 61 15 16 74 , ZBO@dst.dk , Get documentation of statistics as pdf, Purchasing Power Parities (PPP) 2024 , Previous versions, Purchasing Power Parities (PPP) 2023, Purchasing Power Parities (PPP) 2022, Purchasing Power Parities (PPP) 2021, Purchasing Power Parities (PPP) 2020, Purchasing Power Parities (PPP) 2019, Purchasing Power Parities (PPP) 2018, Purchasing Power Parities (PPP) 2017, Purchasing Power Parities (PPP) 2016, Purchasing Power Parities (PPP) 2015, Purchasing Power Parities (PPP) 2014, PPP tells how many currency units a given amount of goods and services cost in different countries. The statistics are used, among other things, to convert countries' gross domestic product (GDP) into comparable figures and for analyses of expenditure levels. Denmark has participated in the work on purchasing power parities since the 1970s, but the statistics in their current form are comparable from 2000 onwards., Statistical presentation, Purchasing power parities (PPP) is an annual price level indicator which expresses the price level in a given country at a given time, relative to the price level in one or more countries. This means that PPP for a particular country indicate how many units of national currency are needed in that country to maintain the purchasing power of €1 in the EU. PPP can be calculated for individual products or aggregates, such as GDP., Read more about statistical presentation, Statistical processing, Price surveys are conducted in order to provide price input data for household consumption, individual government consumption, collective consumption and gross fixed capital formation (investment goods and services). Reference (imputed) PPPs are used for NPISH consumption, inventories, and net exports., Read more about statistical processing, Relevance, The EU Commission uses GDP per capita PPP converted, as basis for allocating funds from the Structural Fund to reduce the financial inequalities among and within the 27 EU Member States. Furthermore, indicators derived from PPPs are used for a wide range of analytic purposes, often providing background information for policymaking in the European institutions, in international organizations like the International Monetary Fund and the World Bank, and in national governments., Read more about relevance, Accuracy and reliability, In the price surveys, the most important source of statistical margins of sampling errors is the range of goods and services, which are not equally representative of all countries included in the international comparisons. The composition of consumption expenditure differs among countries, and this gives rise to potential conflicts between representativeness and data comparability. For some areas, e.g. health it is particularly difficult to provide comparable information. The structure of the health sector differs among countries, and there are no "pure" market prices for these services, which constitutes another statistical margin of sampling error. The margins of sampling errors are not estimated., Read more about accuracy and reliability, Timeliness and punctuality, Provisional results from the surveys of purchasing power parities are published one year after the reference period, whereas the final results are published three years after the reference period. The statistics are usually published without any delay in relation to the scheduled date of publication., Read more about timeliness and punctuality, Comparability, Purchasing power parities are compiled for the purpose of conducting price and volume comparisons for a specific year among countries. Consequently, they are comparable across the participating countries. Comparisons over time must be interpreted with caution, as the basket of goods and services differs from one year to another., In the calculation of PPP, price level index and volume index, the average of EU28 was used as a reference country (group of countries) until 2020. With the United Kingdom's withdrawal from the European Union (EU), the EU27 (excluding the UK) = 100 will be used as a reference country (group of countries) from 2020. This has only a minor impact on the comparability of PPPs, the price level index and the volume index between 2019 and 2020., Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release, at the same time as the tables are updated in the statbank. In the statbank, these statistics can be found under , International volume and price comparision, . Internationally, these statistics are available through , OECD, , , Eurostat, and , Nordic Statistics database, . For further information, go to the , subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/purchasing-power-parities--ppp-

      Documentation of statistics

      Documentation of statistics: Bankruptcies

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

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

      Documentation of statistics
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