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Documentation of statistics: Wholesale Trade, by Goods (Discontinued)

Contact info, Business Dynamics , Get documentation of statistics as pdf, Wholesale Trade, by Goods 2013 , Previous versions, Wholesale Trade, by Goods 2008, The purpose of the analysis is to shed light on the turnover structures of wholesale trade. Surveys have been conducted for the first time in 2009 with reference year 2008 ., Statistical presentation, The statistics provide data on the structure of wholesale trade turnover, industry turnover breakdown by product groups as well as product group wholesales by industries., Read more about statistical presentation, Statistical processing, Data are collected by web from 2,000 enterprises from Wholesales Trade sector. In the questionnaire the enterprises are asked to breakdown their turnover by a number of products, services and client categories. The reported data are checked by comparing the distribution of turnover among enterprises that are similar. Survey data is grossed up in part by including information from administrative sources on the VAT turnover in the reference year for the entire population., Read more about statistical processing, Relevance, The results are of interest to those monitoring the current business trends as well as the structural developments within wholesale trade. The statistics is in demand from trade and industry associations, bank and finance sector, politicians, public and private institutions, researchers, enterprises, news media and Eurostat. It is also of great interest to many enterprises within whole trade, as the results may allow them to compare their own business to their sector of trade or the wholesale trade more broadly., Read more about relevance, Accuracy and reliability, The survey is based on a sample and thus some uncertainty is attached to the results. For the whole retail trade sector, however, the uncertainty is considered to be small, since the coverage is extensive and the response rate high. For a few sectors with a relatively higher share of small enterprises, the limit of DKK 2.5 mil. may imply a higher uncertainty due to lower coverage., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is published once every fem years and approximately 11 months after the reference year. The statistics is published usually without delay regarding to the announced date. To EU the data must be delivered within 18 months after the reference year., Read more about timeliness and punctuality, Comparability, It can be problems in comparing figures over time. This is because the data are only collected every five years. The survey has been carried out for the reference periods 2008 and 2013., Read more about comparability, Accessibility and clarity, Nyt, and , STATBANK, from Statistics Denmark., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/wholesale-trade--by-goods--discontinued-

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2025 , Previous versions, Accounts Statistics for Agriculture 2024, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the Farm Account Statistics for Agriculture is to provide information on the accounting results of agricultural holdings and horticultural holdings in Denmark. The statistics are considered an important input for the calculation of the agricultural sector accounts, the national accounts, and the EU Farm Sustainability Data Network (FSDN). The statistics have been compiled since 1916, but in their current form they are comparable from 2008 onwards., Statistical presentation, The Farm Account Statistics for Agriculture is an annual statistic describing the economy of Danish agricultural and horticultural holdings through detailed accounting items such as turnover, purchases, costs, operating result of the year, assets, liabilities and investments,, as well as key financial indicators. In addition, the statistics include information on household finances, including income outside agriculture, taxes paid and private consumption. The statistics cover holdings with a standard output of at least EUR 25,000 and are broken down by full-time and part-time holdings, farm types, conventional and organic production, and geographical areas such as regions and parts of the country., Read more about statistical presentation, Statistical processing, Data for these statistics are collected annually from farm accounts submitted by accounting offices and private accountants and are supplemented with data from various administrative registers. The data are collected electronically and undergo extensive validation procedures. Holdings are classified according to economic size and type of farming based on their Standard Output (SO), which is calculated for all crop and livestock types as the average actual output per unit (hectare or animal) over a five-year reference period. After validation, the sample is weighted to represent the target population and the final statistics are compiled., Read more about statistical processing, Relevance, These statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The data collection fulfils Denmark's obligations under the EU Farm Sustainability Data Network (FSDN)., Read more about relevance, Accuracy and reliability, The sample covers all holdings in the target population with a Standard Output (SO) of at least EUR 25,000. Sampling uncertainty is reduced by selecting relatively more large holdings, where variability is greater, and relatively fewer small holdings. Potential sources of uncertainty include voluntary participation and differences in accounting periods, although both are considered to have only a limited impact on overall accuracy. Standard errors and coefficients of variation are calculated for four key variables across 22 groups of holdings. Expected non-response is taken into account by increasing the sampling rate in strata where higher non-response has been observed, Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published 7–10 months after the end of the reference year. Since the 2015 reference year, preliminary results for agriculture have been published in early July., Read more about timeliness and punctuality, Comparability, The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output., The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted., Read more about comparability, Accessibility and clarity, The figures are published in , Nyt from Danmarks Statistik, . The statistics is published in StatBank Denmark under , Agricultural and horticultural economy, . More information is available on the statistics , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/accounts-statistics-for-agriculture

Documentation of statistics

Documentation of statistics: Producer Price Index for Services

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 Price Index for Services 2026 , Previous versions, Producer Price Index for Services 2025, Producer Price Index for Services 2024, Producer Price Index for Services 2023, Producer Price Index for Services 2021, Producer Price Index for Services 2020, Producer Price Index for Services 2019, Producer Price Index for Services 2018, Producer Price Index for Services 2017, Producer Price Index for Services 2016, Producer Price Index for Services 2015, Producer Price Index for Services 2014, The purpose of these statistics, is to analyze price trends in the first stage of commercial transaction of services, i.e. producers' selling prices to other producers (business to business), ex VAT. These statistics have been compiled since 2006., Statistical presentation, The Producer Price Index for Services is a quarterly measurement of service prices relating to the first commercial transaction (business to business), for the domestic market and export. The statistics contains a number of service price indices in different industries, e.g. price indices for transport services, consultancy services and cleaning services etc. , Read more about statistical presentation, Statistical processing, Approx. 2.300 prices are collected quarterly from selected companies in Denmark in order to calculate these indices. Prices are collected through an electronic questionnaire. The prices are automatically validated during the collecting process and changes that are greater than a predetermined threshold value, are checked manually by the staff. The Price indices are calculated in a hierarchical system, where the first calculation is made for the most detailed industries, i.e. elementary indices. These elementary indices are calculated based on a number of , basic prices, , as geometric Jevons Indices. The elementary indices are subsequently weighted together as aggregated price indices. These are calculated as arithmetic Laspeyres indices., Read more about statistical processing, Relevance, The , Producer Price Index for Services, serves as a deflator, key economic indicator and a contract regulation tool. The primary users of the statistics are the Danish National Accounts plus an array of public and private sector decision-makers. 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 within the selected services. The weight base also covers the main part of all trade in the first turnover, within the demarcation of the statistics, and there is constant monitoring of the quality of the sample. The sample is not extracted simply randomly, so no measure of sample error is able to be produced. , Only final figures are published. , In general, the producer price index for services is not assessed to have increased uncertainty as a result of Covid-19, as the data collection and thus the lapse has been largely unchanged as Follow of the crisis. But a single industry has been affected, which you can read more about less than "Non-sampling error"., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published quarterly, approx. 1,5 months after the end of the reference period, as far as possible on the 15th of the month or the first business day thereafter. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The , Producer Price Index for Services, can be found as a time series from 2006 to present. The statistic follows international standards and is therefore comparable with similar statistics from other European countries., Read more about comparability, Accessibility and clarity, These statistics can be found in the StatBank, under the subject , Producer price index for services, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Old Age Pension and Disability Pension

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Old Age Pension and Disability Pension 2026 Month 04 , Previous versions, Old Age Pension and Disability Pension 2025 Month 01, Old Age Pension and Disability Pension 2024 Month 10, Old Age Pension and Disability Pension 2024 Month 05, Old Age Pension and Disability Pension 2024 Month 04, Old Age Pension and Disability Pension 2024 Month 03, Old Age Pension and Disability Pension 2023 Month 01, Old Age Pension and Disability Pension 2022 Month 01, Old Age Pension and Disability Pension 2021 Month 01, Old Age Pension and Disability Pension 2020 Month 01, Old Age Pension and Disability Pension 2019 Month 01, Old Age Pension and Disability Pension 2018 Month 01, Old Age Pension and Disability Pension 2017 Month 01, Old Age Pension and Disability Pension 2016 Month 01, Old Age Pension and Disability Pension 2015 Month 01, Old Age Pension and Disability Pension 2014 Month 01, The purpose of the statistics "Old age and disability pension" are to measure the number of recipients of old age pension or disability pension and the average benefit. The statistics include recipients living abroad. The statistics are consistent from 2009 and onwards. However from 2021 it is available for all months., Statistical presentation, The statistics quarterly describe the number of recipients of old age pension, senior pension, disability pension or early retirement pension, recipients share of the identical population group as well as the average benefit. Old age pension and disability pension are shown separately and are broken down into sex, age, type of benefits, family type and geography. , Read more about statistical presentation, Statistical processing, The statistics are based on complete administrative registers. Data are checked for consistency and at aggregate level compared to data from previous years., Read more about statistical processing, Relevance, The main users are municipalities, ministries and organisations such as Ældre Sagen and ATP. The statistics contain information on the financial living condition of pensioners. Also, data provide the opportunity to estimate the financial effect of changes in legislation. , Read more about relevance, Accuracy and reliability, All recipients of old-age pension and disability pension under the legislation covered, both residents in Denmark and abroad based on Udbetaling Danmarks register. There may be errors and duplicates in the registry that are removed, but it affects less than 0.01 per cent. of the persons to whom money is paid., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in April, July, November and January. The statistics have always been published as planned., Read more about timeliness and punctuality, Comparability, Changes in legislation including changes in the retirement age from 2004 to 2007 and again from 2019 to 2022 affect the number of pensioners. From 1993 to 1994 the old age pension became taxable and increased significantly. A high degree of consistency with similar figures based on the income register or similar statistics in other Nordic countries is expected., 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 the subject , Old-age pensioners and disability pensioners, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/old-age-pension-and-disability-pension

Documentation of statistics

Documentation of statistics: Farm Structure Survey

Contact info, Food Industries, Business Statistics , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Farm Structure Survey 2026 , Previous versions, Farm Structure Survey 2025, Farm Structure Survey 2024, Agricultural and Horticultural Survey 2023, Agricultural and Horticultural Survey 2022, Agricultural and Horticultural Survey 2021, Agricultural and Horticultural Survey 2020, Agricultural and Horticultural Survey 2019, Agricultural and Horticultural Survey 2018, Agricultural and Horticultural Survey 2017, Agricultural and Horticultural Survey 2016, Agricultural and Horticultural Survey 2014, The purpose of the survey is to describe the structure of agriculture, e.g. number of farms by size and geography., The statistics have comparable time series going back to 1982. The agricultural statistics, however, are much older than that with figures for number of farms, livestock, crops etc. going back to around 1900. , Statistical presentation, The farm structure statistics are yearly and include figures on number of farms, livestock, crops and technology distributed by for instance size and geography. The statistics are published "Nyt fra Danmarks Statistik (News from Statistics Denmark) and in the statbank., Read more about statistical presentation, Statistical processing, The information is collected by means of a yearly questionnaire based survey where the farmers complete the questionnaire online. The answers are validated for non probable values., Information on crops and cattle is collected from registers, and is thereby not reported by every single farmer. , The survey is a sample survey stratified by region, size and type of farming., Read more about statistical processing, Relevance, The statistics fulfill a need for structural information on the Danish agriculture, e.g. number of farms by size and region. Important users are EU, the ministries and agricultural organizations., Read more about relevance, Accuracy and reliability, The precision varies for the different items of the statistics. The precision is thus highest for the total agricultural area and less precise for specific crops, especially crops grown by only few farmers. Likewise the precision is best for livestock which many farmers have. This is in particular true for cattle. In the same way the uncertainty is high for small geographical units, e.g. Bornholm., Read more about accuracy and reliability, Timeliness and punctuality, The survey is published about 9-12 after the survey day. This difference is due to the fact that survey varies in size from year to year, both with respect to the questionnaire and the sample size., Read more about timeliness and punctuality, Comparability, The survey is almost comparable from 1982 onwards. There is also a high degree of comparability with other European countries. Between 2009 and 2010 there is, however, a small break in the comparability since the statistics from 2010 onwards includes a number of small farms and additionally farms with fur animals. It means that the number of farms in 2010 is about 1.200 bigger than it otherwise would have been., From around 1900 to 1981 the statistical surveys also included very small farms with an area of only hectares. These figures are available for the users in paper publications, but not online. , Read more about comparability, Accessibility and clarity, The survey is published here: Online, http://www.Statbank.dk, New from Statistics and in the analyses of Statistics Denmark, see this analyse on [Analyse]https://www.dst.dk/da/Statistik/Analyser/visanalyse?cid=29376 , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/farm-structure-survey

Documentation of statistics

Documentation of statistics: Cultural Habits Survey

Contact info, Science, Technology and Culture, Business Statistics , Anders Yde Bentsen , +45 40 33 68 81 , AYB@dst.dk , Get documentation of statistics as pdf, Cultural Habits Survey 2026 , Previous versions, Cultural Habits Survey 2025, Cultural Habits Survey 2024, Cultural Habits Survey 2023, Cultural Habits Survey 2022, Cultural Habits Survey 2021, Cultural Habits Survey 2018-2021, Cultural Habits Survey 2018, Cultural Habits Survey 2012, Documents associated with the documentation, Spørgeskema for Kulturvaneundersøgelsen 2018-2023, faste spørgsmål (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2024 (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2025 (pdf) (in Danish only), Spørgeskema for Kulturvaneundersøgelsen 2026 (pdf) (in Danish only), The purpose of the Cultural Habits Survey is to document the cultural habits of the residents of Denmark. Culture is broadly defined, as the survey covers habits within the topics of culture, media and recreational activities, e.g. concerts, performing arts, cinema, literature, exercise, digital games and hobbies. The survey has been carried out regularly since 1964. Statistics Denmark has carried out the survey from 2018-2023 and in 2024-, while previous surveys have been carried out by the Ministry of Culture. The survey has been carried out with a new questionnaire since the first quarter of 2024, and is therefore not directly comparable with previous versions., Statistical presentation, The Cultural Habits Survey is an interview based quarterly survey among a random sample of Danish residents 16 years or older, which documents the consumption of cultural and recreational activities. The consumption of these activities may occur both in Denmark and abroad. The cultural consumption is grouped in various statistics by i.a. age, gender, education and degree of urbanisation. The current Cultural Habits Survey is ongoing and was first collected in the first quarter of 2024. The survey is communicated in Danish language press releases and in StatBank Denmark., Read more about statistical presentation, Statistical processing, The Cultural Habits Survey is an interview based quarterly survey among a random sample. The survey is carried out by both computer-assisted web interviews (CAWI) and computer-assisted telephone interviews (CATI). Approximately 4,800 responses are collected each quarter. The questionnaire is divided into a general part answered by all participants and four sub-parts, each answered by roughly a fourth of the respondents surveyed via CAWI. Using demographic information from Statistics Denmark's register of the Danish population, the respondents are weighted to compensate for non-response. Data is inspected for errors. A yearly dataset is compiled by the combination of the data for each quarter of the year., Read more about statistical processing, Relevance, The Cultural Habits Survey is carried out and developed in close cooperation with the Ministry of Culture and is the ninth in the series of the cultural habits of Danish residents carried out since 1964. The current survey accommodates a series of user needs, among which are more frequent statistics, the possibility for investigating geographic variation and the surveying of a broader definition of culture. The user needs have been identified through a thorough assessment of the Cultural Habits Survey 2018-2023. The assessment comprised the Ministry of Culture, researchers and users from public institutions., Read more about relevance, Accuracy and reliability, The Cultural Habits Survey is based on approximately 4,800 responses per quarter, which is a robust amount of data, contributing to lessening the sampling error. The error of the estimates are further reduced by the use of a mixed mode of data collection and multiple attempts at contacting each respondent. The error is however significantly greater for those questions which are part of the four sub-parts as these are each based on an amount of data roughly one fourth the size of the total amount., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published two months after the end of the reference period. The statistics are published without delay compared to scheduled publishing times., The statistic on membership for youth and outdoor activities organisations is published yearly in June, with data for the preceding year., Read more about timeliness and punctuality, Comparability, The survey has been carried out since 1964, but is in its current form only comparable with earlier versions to a limited degree. This is partly due to societal and technological changes and partly due to changes in the needs of users which has resulted in major revisions of the questionnaire in 2018 and 2024. The questionnaire is developed according to UN guidelines and is therefore partly comparable to statistics from other countries, among these the Nordic countries and EU countries., Read more about comparability, Accessibility and clarity, The statistics are published in a , Danish press release, . In the StatBank, the figures are published under , Cultural and recreational activities, . For more information, see the , topic page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/cultural-habits-survey

Documentation of statistics

Documentation of statistics: Employees (monthly)

Contact info, Labour Market, Social Statistics , Mads Housø Hansen , +45 24 43 40 61 , MHU@dst.dk , Get documentation of statistics as pdf, Employees (monthly) 2026 Month 01 , Previous versions, Employees (monthly) 2024 Month 07, Employees (monthly) 2024 Month 06, Employees (monthly) 2024 Month 05, Employees (monthly) 2024 Month 04, Employees (monthly) 2024 Month 03, Employees (monthly) 2024 Month 02, Employees (monthly) 2024 Month 01, Employees (monthly) 2023 Month 12, Employees (monthly) 2023 Month 11, Employees (monthly) 2023 Month 10, Employees (monthly) 2023 Month 09, Employees (monthly) 2023 Month 08, Employees (monthly) 2023 Month 07, Employees (monthly) 2023 Month 06, Employees (monthly) 2023 Month 05, Employees (monthly) 2023 Month 04, Employees (monthly) 2023 Month 03, Employees (monthly) 2023 Month 02, Employees (monthly) 2023 Month 01, Employees (monthly) 2022 Month 11, Employees (monthly) 2022 Month 10, Employees (monthly) 2022 Month 09, Employees (monthly) 2022 Month 08, Employees (monthly) 2022 Month 07, Employees (monthly) 2022 Month 06, Employees (monthly) 2022 Month 05, Employees (monthly) 2022 Month 04, Employees (monthly) 2022 Month 03, Employees (monthly) 2022 Month 02, Employees (monthly) 2022 Month 01, Employees (monthly) 2021 Month 12, Employees (monthly) 2021 Month 11, Employees (monthly) 2021 Month 10, Employees (monthly) 2021 Month 09, Employees (monthly) 2021 Month 08, Employees (monthly) 2021 Month 07, Employees (monthly) 2021 Month 06, Employees (monthly) 2021 Month 05, Employees (monthly) 2021 Month 04, Employees (monthly) 2021 Month 03, Employees (monthly) 2021 Month 02, Employees (monthly) 2021 Month 01, Employees (monthly) 2020 Month 12, Employees (monthly) 2020 Month 11, Employees (monthly) 2020 Month 10, Employees (monthly) 2020 Month 09, Employees (monthly) 2020 Month 08, Employees (monthly) 2020 Month 07, Employees (monthly) 2020 Month 06, Employees (monthly) 2020 Month 05, Employees (monthly) 2020 Month 04, Employees 2018 Month 08, Employees 2018 Month 07, Employees 2018 Month 06, Employees 2018 Month 04, Employees 2018 Month 03, The purpose of these statistics is to clarify the short-term development in the employment of employees in Danish enterprises. The statistics contains employment data from the beginning of 2008. , Statistical presentation, The employment statistics for employees is published on a quarterly and monthly basis. The statistics shows the development in the number of people with employee job. On a quarterly basis the number of full-time employees is also published. The statistics is distributed by sector and industries both in the monthly statistics and in the quarterly statistics. Furthermore, workplace geography, residence geography, age, sex and ancestry is also illustrated on a quarterly basis., Read more about statistical presentation, Statistical processing, Data are debugged, adjusted and quality guaranteed in relation to breakdowns on industry, sector and geography. Data for both the number of full-time employees and number of people with employee job is seasonally adjusted, broken down by both industry, sector and geography on residence., Read more about statistical processing, Relevance, Users interested in the social and economic statistics have expressed satisfaction with the quality of the statistics., Read more about relevance, Accuracy and reliability, The uncertainty in the development of the number of employees is estimated to be less than 1 per cent of the total number of full-time employees, where 1 per cent corresponds to approx. 20,000 full-time employees. As regards more detailed statistics in terms of industry and geographical distribution the uncertainty is much greater. For the monthly statements there has not yet been a systematic quality studies of statistics. Compared to the quarterly statements of full-time employees, there are two factors pulling in opposite directions: on the one hand, the monthly statements are published earlier, leading to increased uncertainty, because fewer reports has been reported at that time. On the other hand, jobs are imputed for periods where the employees for up to 45 days have not received wages, but subsequently returned to the same employer in the calculation of persons with employee jobs, which helps to reduce uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The preliminary figures of the monthly statistics are published approx. 52 days after the end of the reference month. These statements are revised every month until final estimates are released in the quarterly statistics., The preliminary employment statistics for employees are published approx. 52 days after the end of the quarter. The revised statement will be published within 3 months after the reference quarter and the final statement 3 months later together with the new preliminary data for the following quarter. There is usually no delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, There are no changes in methodology since these statistics where first introduced. Data are comparable during the whole period., 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 the subject , Employees, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/employees--monthly-

Documentation of statistics

Social protection expenditure (ESSPROS)

Unknown

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/esspros?id=030223c4-9c9d-440c-b4ad-5b506baa070a

The Combined Nomenclature (CN)

Unknown

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/kn?id=6b82e360-3b3b-4ca9-8ead-47dd359f111d

Documentation of statistics: Government deficit and debt in the EU-countries

Contact info, Government Finances, Economic Statistics , Jesper Lillebro Feddersen , +45 20 51 61 92 , JEF@dst.dk , Get documentation of statistics as pdf, Government deficit and debt in the EU-countries 2025 , Previous versions, Government deficit and debt in the EU-countries 2024, Government deficit and debt in the EU-countries 2023, Government deficit and debt in the EU-countries 2022, Government deficit and debt in the EU-countries 2021, Government deficit and debt in the EU-countries 2020, Government deficit and debt in the EU-countries 2019, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2018, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2017, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2016, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2015, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2014, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2013, EMU-debt and EMU-deficit (Government deficit and debt) is the statistical data required for the excessive deficit procedure (EDP) in the Economic and Monetary Union in according to the Maastricht Treaty and Stability- and Growth Pact. The EU-Commission uses the statistics to monitor and examine the development of the budgetary situation and government debt in Denmark in accordance with the Maastricht Treaty convergence criteria. The Compilations are based on the European System of Accounts (ESA2010). However, on some points they differ from ESA2010, e.g. on the valuation of debt, which is at nominal value., Statistical presentation, The compilation of consolidated gross debt at nominal value for general government is sometimes referred to as EMU-debt/government debt. The deficit is sometimes referred to as the EMU-deficit/government deficit. Government deficit and debt in EU covers data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt covers data on ESA2010 back from 2000., Read more about statistical presentation, Statistical processing, Main sources are balance sheets and income statements from the central government, regions and municipalities and and social security funds. Frequency of data collection is Semi-annual and quarterly. Because of the number of consistency checks and data confrontations facilitated by the system of accounts. Further more Eurostat/EU-commission assess the quality of EDP-data by a detailed inventory, a clarificationproces after the notifications and by standard dialogue and upstream visits every second year., Read more about statistical processing, Relevance, High., Read more about relevance, Accuracy and reliability, The government deficit and debt is based on accounts figures for the whole general government sector that have a very limited degree of inaccuracy. , The statistical uncertainty is not calculated. , The overall accuracy is considered to be relatively high., Read more about accuracy and reliability, Timeliness and punctuality, Debt: End of the quarter and end of the year., Deficit: Current year., The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Government EMU-debt is to a certain degree comparable with quarterly financial accounts for general government since both statistics are based on the sectors and instruments defined in ESA2010. The primary differences are: Government EMU-debt is based on nominal values, while quarterly financial accounts for General Government are based on market values., In a similar way, Government Deficit is comparable with the national accounts compilations of net-lending for General Government in the so called March- and June-versions., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under the subject , EMU debt and EMU balance, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/government-deficit-and-debt-in-the-eu-countries

Documentation of statistics