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Documentation of statistics: Account Statistics for Fishery

Contact info, Food Industries , Charlotte Spliid Hansen , +45 29 41 97 76 , CHH@dst.dk , Get documentation of statistics as pdf, Account Statistics for Fishery 2023 , Previous versions, Account Statistics for Fishery 2022, Account Statistics for Fishery 2021, Account Statistics for Fishery 2020, Account Statistics for Fishery 2019, Account Statistics for Fishery 2018, Account Statistics for Fishery 2017, Account Statistics for Fishery 2016, Account Statistics for Fishery 2015, Account Statistics for Fishery 2014, Account Statistics for Fishery 2013, Account Statistics for Fishery 2012, The purpose of the Account Statistics for Fishery is to review the economy of the fishery sector. The statistics is used in economic models and as a basis for yearly economic statistical reports for the fishery to EU (DG Mare). The statistics has been produced by Department of Food and Resource Economics at University of Copenhagen since 1996 and was transferred to Statistics Denmark from January 2009., Statistical presentation, The Account Statistics for Fishery covers the commercially fishery by fishing vessels registered in Denmark. The statistics is based on vessel units and is calculated for groups of fishing vessels (fleet segments) based on vessel size and main gear use., Read more about statistical presentation, Statistical processing, The authorized accountants report yearly the account for their fishery client. The collected accounts are thoroughly tested. When all accounts has been approved for statistical use, the sample of approved accounts are used together with register data for the entire population to simulate individual accounts for all units not in the sample. The complete dataset with individual balanced accounts for all units in the population is merged with register data on vessel characteristics, gear use etc. in order to calculate parameters for statistical groups (vessel segments)., Read more about statistical processing, Relevance, The statistics is relevant for government administration, researchers and stakeholders within the fisheries. Furthermore the data is used in the Fleet Economic Report to EU. , Read more about relevance, Accuracy and reliability, The statistic is based on a sample and the results are uncertain. The precision rely on the covering of the sample. Therefore the sample rate is bigger for vessels with high revenue. The aim is each year to include the 100 biggest vessels in the sample, and that approximately 80 per cent of the total value of landings in Danish fishery come from the vessels in the sample. Investments have the most uncertainty, because exchange of a vessel could result in closure of the fishing firm, and set up a new firm to run the new vessel., Read more about accuracy and reliability, Timeliness and punctuality, The statistics is normally made public before one year after the conclusion of the refence year., Read more about timeliness and punctuality, Comparability, The Account Statistics for Fishery is prepared using the same overall principles as the account statistics for agriculture, horticulture and aquaculture. The statistics has been prepared yearly since 1996. Break in series occurs in 2022 due to changes in methods for calculation population cutoff, as well as a new and improved basis for classifying which fishing types the vessels are grouped into. Break in series also occurs in 2001 due to inclusion of unpaid salary to active (working) partners, and in 2009 and again 2012 due to improved calculation of the capital value of fishing rights., Read more about comparability, Accessibility and clarity, The statistics is published yearly in NYT from Statistics Denmark. Data is accessible on StatBank Denmark in the tables AKFIREGN, FIREGN1, FIREGN2 and NFISK. More information on the statistics subject web-page: , Fishery, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/account-statistics-for-fishery

Documentation of statistics

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 2024 , Previous versions, 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 was first published in spring 2003. Covering data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt was first published in fall 2004. Covering 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 , 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

Documentation of statistics: Structure of Earnings

Contact info, Labour Market, Social Statistics , Bao Chau Do , +45 30 62 50 74 , BCD@dst.dk , Get documentation of statistics as pdf, Structure of Earnings 2024 , Previous versions, Structure of Earnings 2023, Structure of Earnings 2022, Structure of Earnings 2021, Structure of Earnings 2020, Structure of Earnings 2019, Structure of Earnings 2018, Structure of Earnings 2017, Structure of Earnings 2016, Structure of Earnings 2015, Structure of Earnings 2014, Structure of Earnings 2013, The purpose of the structure of earnings statistics is to provide detailed information about employees' earnings analysed by level of education, occupation, region, industry and age for the entire labour market. The structural statistics on earnings form part of Statistics Denmark's coherent statistical system for earnings and labour costs. The system covers the public sector as well as corporations and organizations., Statistical presentation, The statistics include all establishments in the general government sector. As for the sector corporations and organizations all enterprises are included with an employment corresponding to ten or more full-time employees, with the exception of the industry agriculture, forestry and fishing. The statistics are not immediately suitable for shedding light on wage developments, as the change between two years, in addition to wage increases, reflects changes in employee composition such as the arrival and departure of employees within given groupings., Read more about statistical presentation, Statistical processing, Annually payroll information is collected for the entire General government sector as well as for companies in the private sector with 10 or more full-time employees. The public sector is considered full deck while the total population of private sector is only comprised of enterprises with 10 or more full-time employees., Read more about statistical processing, Relevance, Users of statistics are wide-ranging from national and international organizations , ministries , municipalities and regions for private companies and individuals. The structure of earnings statistics cannot be used as an employment indicator. For this purpose one should instead use the employment statistics. , Read more about relevance, Accuracy and reliability, The margins of statistical errors are especially linked to hours of work. Especially data reported on paid absence can be subject to inaccuracies. In addition to this, there may be errors in the periodic delimitation, which are essential to the compilation of hours worked as well as the agreed working time. However, efforts are continuously made to improve the data quality through feedback to the enterprises and through updating and improvement of the production systems., The statistical uncertainty is not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The structure of Earnings is published on a yearly basis at then end of September following the reference period. The information is normally published without delay compared to schedule., Read more about timeliness and punctuality, Comparability, These statistics are in its current form, comparable from 2013 and onwards. Structural changes from year to year must be taken into account, when comparing the level of earnings over time. Annual data are transmitted to Eurostat by all EU Member States, and the statistics Structure of Earnings Survey (SES) are compiled on the basis of these data. , 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 , Structure of earnings, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/structure-of-earnings

Documentation of statistics

Documentation of statistics: Vocational Education

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , alg@dst.dk , Get documentation of statistics as pdf, Vocational Education 2024 , Previous versions, Vocational Education 2023, Vocational Education 2022, Vocational Education 2021, Vocational Education 2020, Vocational Education 2019, Vocational Education 2018, Vocational Education 2015, These statistics cover vocational education activity in Denmark. A vocational education is a youth education which gives the student a vocational qualification. Vocational education statistics is in its current form comparable since 2005 and is part of the overall Student Register, which contains information on all students and students in ordinary education in Denmark., Statistical presentation, These statistics contains yearly estimates of on the activity on vocational educations in Denmark. This includes the number of entrants, the number of completed and the number of active students. The statistics are divided by education and enrolment type, and the students' age, sex, ancestry and national origin., Read more about statistical presentation, Statistical processing, The data for the statistics is collected yearly in October from the administrative systems of the educational institutions. Data is adjusted into the format used in the Student Register. In cooperation with the National Agency for It and Learning, Statistics Denmark has set guidelines for this conversion, since the conversion depends on the type of student. Data is validated at both macro and micro level, where fluctuations in the number of students across time are controlled for errors and irregularities at the individual level, for example overlap between educations, are corrected., Read more about statistical processing, Relevance, The statistics are relevant for public administrators, scientists and other analysts, journalists and citizens etc. as basis for prognoses, analyses and planning purposes in the educational field, but also for example in the labour market field and the integration field. The basic data for the statistics are used as background data for most of the personal statistics at Statistics Denmark, and it is the basis for the tables in StatBank Denmark about education. , Read more about relevance, Accuracy and reliability, The administrative systems that are the basis for the statistics are used by the institutions for their own daily administration of the pupils and also for the payment of different economic grants. Correct registers are therefore necessary for the economy of the institutions and contributes to an expected high quality of the data source. The vocational education field is a field with many different ways to get an education, which creates more possibilities for incorrect registrations e.g. wrong registrations of the students on the institutions or errors in the conversion to the correct format., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published about 4 months after the reference time which is 1 October. , Read more about timeliness and punctuality, Comparability, The current time series of these statistics goes back to 2005, but statistics on vocational education have been made further back than this. Vocational education reforms can be a challenge when comparing figures over time. Furthermore, it may be difficult to compare the figures internationally, as vocational training is defined differently from country to country., Read more about comparability, Accessibility and clarity, In the StatBank, these statistics can be found under the subject , Upper secondary education, . For further information, see the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Nights Spent at Marinas

Contact info, Short Term Statistics, Business Statistics , Majbrit Holst , +45 24 94 08 24 , mbj@dst.dk , Get documentation of statistics as pdf, Nights Spent at Marinas 2025 , Previous versions, Nights Spent at Marinas 2024, Nights Spent at Marinas 2023, Nights Spent at Marinas 2022, Nights Spent at Marinas 2021, Nights Spent at Marinas 2020, Nights Spent at Marinas 2019, Nights Spent at Marinas 2018, Nights Spent at Marinas 2017, The purpose of the survey Overnight stays in marinas is to supply information on the tourism activity in the Danish marinas. Users of the statistics is e.g. business and tourism organisations as well as municipalities and regions to analyse the development in tourism. Furthermore the statistics is used to identify the most popular marina areas in Denmark. The survey is collected on a voluntary basis and is made in collaboration with VisitDenmark. The survey has been compiled since 1992. The survey went from mandatory to voluntary in 2004 which has had an impact on the response rate and thus also the comparability over time., Statistical presentation, The statistics regarding marinas is a monthly seasonally survey about boats and guest nights spent by visiting yachts in marinas in the months of May-September. The statistics are divided into nationalities of the guests, as well as geographically by regions, parts of the country and waters. In addition, there is an annual assessment of the capacity of marinas divided into parts of the country and the size of the marina. Numbers of Municipal distribution is published at the homepage of VisitDenmark., Read more about statistical presentation, Statistical processing, Data for the statistics is collected monthly for for the reference months May to September. The monthly statistics shows temporary data for the activity in the marinas. If a marina has not reported data from the same month the year before is imputed. At the end of the reference year the imputed data is replaced by reported final data for the year. The numbers of nights spent at marinas are calculated by using a average factor for the size of the crew. The average factor is based by a survey made by VisitDenmark in 2017. Data for the statistics is collected via an upload solution or by a electronis questionaire. The collected data undergoes micro-level debugging during the actual collection and at the macro-level when the data is aggregated., Read more about statistical processing, Relevance, The statistics are relevant for e.g. the companies, industry associations, municipalities and regions as well as business and tourism organizations as a basis for forecasts, analyses and planning purposes., Read more about relevance, Accuracy and reliability, The marina statistics was made voluntary from 2004 which may influence the comparability over time as well as the coverage. Some reports are based on a best estimate by the respondent and therefore in risk of being wrong. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published on a monthly basis for the reference months May-September approx. 40 days after the end of the reference month. Furthermore, an annual publication is made that is published approx. 75 days after the end of the reference year. The survey is published according to the scheduled time table and therefore has a high degree of punctuality., Read more about timeliness and punctuality, Comparability, From 2004 the statistics are voluntary which minimize the comparability over time. From 2007-20016 a new factor regarding the size of the crew has been phased in. From 2017 an onwards this factor is fully phased in. , Read more about comparability, Accessibility and clarity, The statistics are published in , Nyt from Statistics Denmark, . In the statbank the figures are published under the subject , Marinas, and , All types of accommodation, . See more on the statistics , topic page, . Municipality-distributed statistics on holiday rental are financed by VisitDenmark and are freely available on their , website, . , If you want to combine statistics on marinas with other variables or put them together in another way, you can contact DST Consulting to clarify options and request a quote., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/nights-spent-at-marinas

Documentation of statistics

Documentation of statistics: Mining and Quarrying

Contact info, Food Industries, Business Statistics , Morten Skovrider Kollerup , +45 24 52 61 68 , MSL@dst.dk , Get documentation of statistics as pdf, Mining and Quarrying 2024 , Previous versions, Mining and Quarrying 2023, Mining and Quarrying 2022, Mining and Quarrying 2020, Mining and Quarrying 2019, Mining and Quarrying 2018, Mining and Quarrying 2017, Mining and Quarrying 2016, Mining and Quarrying 2014, Mining and Quarrying 2013, The mining and quarrying statistics show the amount and type of mining and quarrying in Denmark. The statistics have been made since 1973 but is only comparable since 2006., Statistical presentation, The mining and quarrying statistics are a yearly measurement of extracted raw material types from land and from the sea floor stated in Cubic meters. The statistics are grouped by raw material types, by administrative regions and municipalities., Read more about statistical presentation, Statistical processing, Data are annually collected from all extractors on land. The reported data are controlled for errors by comparing changes over time in the municipalities and for the totals for each resource category. Figures for raw materials extracted from the sea are controlled for errors in the same way., Read more about statistical processing, Relevance, There is great interest for the published figures on raw materials among the Regions, which use the statistics to make extraction plans. The statistics are also requested by municipalities, industry organizations, other public and private institutions, researchers, companies and the news media. The statistics are used in the compilation of the environmental-economic accounts in the national accounts., Read more about relevance, Accuracy and reliability, These statistics are based on a full census with complete coverage, as all extractors of raw materials are required to report. The data form the basis for taxation and are verified by the authorities, who already have a good overview of the quantities extracted., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published about 6 months after the end of the reference period. Publications are generally released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistics are comparable at municipal level back to 1980. The data collected and the level of detail have remained unchanged throughout the period. Data quality and reliability are expected to be higher after 1 January 1990, when a raw material tax was introduced, resulting in increased control of the reporting by the authorities. As of 2007, data are compiled according to the new municipal and regional structure, and reliability is considered slightly lower than before 2007 due to problems with implementation of the new municipality-reform in 2007., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Mining and quarrying, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/mining-and-quarrying

Documentation of statistics

Documentation of statistics: ICT Usage in Households and by Individuals

Contact info, Science, Technology and Culture, Business Statistics , Anne Vibeke Jacobsen , +45 20 14 84 28 , AVJ@dst.dk , Get documentation of statistics as pdf, ICT Usage in Households and by Individuals 2025 , Previous versions, ICT Usage in Households and by Individuals 2024, ICT Usage in Households and by Individuals 2023, ICT Usage in Households and by Individuals 2022, ICT Usage in Households and by Individuals 2021, ICT Usage in Households and by Individuals 2020, ICT Usage in Households and by Individuals 2019, ICT Usage in Households and by Individuals 2018, ICT Usage in Households and by Individuals 2017, ICT Usage in Households and by Individuals 2016, ICT Usage in Households and by Individuals 2014, The purpose of the statistics ICT Usage in Households and by Individuals is to analyse the access to and use of the Internet, and to follow the development. Survey questions have been deleted and added from time to time, in order to reflect new aspects and developments. The survey is based on international cooperation, a common Eurostat questionnaire and methodological guidelines. The statistics have been compiled since 2001 and in the present form it is comparable from 2008 onwards., Statistical presentation, This survey is based on a European model questionnaire coordinated by Eurostat. The survey covers among other subjects; access to and use of the Internet and computers at home and at work, type of internet connection used, type of device used for internet access e-commerce etc. Results are calculated both for the population as a hole and for subgroups divided by sex, age, occupation, type of family etc. A number of questions concerning access are directed at households instead of the individual., Read more about statistical presentation, Statistical processing, The results of the survey are grossed-up to ensure their representativeness. After collecting the data, the sample is grouped by a number of background variables, such as age and gender. Each answer gets a 'weight' that correct possible biases. The calculations are done by a regression estimator., Read more about statistical processing, Relevance, The statistics are used by the general population, the authorities, interest organizations, journalists etc. as a basis for political initiatives, analyses, articles, forecasts, exam projects, etc., Read more about relevance, Accuracy and reliability, The survey is based upon simple random selection samples, and the results are therefore subject to statistical uncertainty. For the entire populations access to Internet the uncertainty is limited, since the degree of coverage is high. Uncertainty reflects variations in the collected data in comparison to the size of the sample. If all persons/families were identical with respect to access to and use of the Internet, then a sample size of 1 would in principle be adequate. , Read more about accuracy and reliability, Timeliness and punctuality, The survey is published annually and the results are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The survey is harmonized with the EU model questionnaire, which is used in most member states., Read more about comparability, Accessibility and clarity, These statistics are published yearly 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 , Digital behaviour, . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-usage-in-households-and-by-individuals

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2021

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2021 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2021 , Valid to: , January 31, 2022 , Office: , Population and Education , Contact: , NKL , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, Still valid, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=08e4b489-5d3c-4552-9a12-d2dd6dc0744d

Documentation of statistics: The Public Sector Finances

Contact info, Government Finances, Economic Statistics , Helene Gjermansen , +45 24 76 70 09 , HGJ@dst.dk , Get documentation of statistics as pdf, The Public Sector Finances 2024 , Previous versions, The Public Sector Finances 2023, The Public Sector Finances 2022, The Public Sector Finances 2021, The Public Sector Finances 2020, The Public Sector Finances 2019, The Public Sector Finances 2018, The Public Sector Finances 2017, The Public Sector Finances 2016, The Public Sector Finances 2015, The Public Sector Finances 2014, The purpose of the statistic is to show the activities that are owned or controlled by the general government and to illustrate the public area as an economic unit called , the public sector, . Statistics Denmark began publishing the statistic in March 1998, where it contained figures covering the period 1993-1996., Statistical presentation, The public sector's finances is an annual specification of the institutional distribution of activities carried out by the public corporations, giving total figures as well as figures divided into industrial groups. Furthermore, the statistics contain figures for the public sector and all public corporations and quasi-corporations., Read more about statistical presentation, Statistical processing, The data for the statistic is based on accounting information from central government, regions, and municipalities, along with approximately 800 public companies. The accounting information is gathered directly from central government, regions, and municipalities, while data from the public companies are collected by the use of surveys. The accounting information is checked for errors, along others by comparing to the previous year's accounts, and a macro-validation is carried out on the most detailed industrial classification. The gathered data covers the full population, and as such no further calculations are necessary., Read more about statistical processing, Relevance, The primary users are the ministries of economic affairs, interest organisations, politicians, educational institutions, and the interested public. Some users needs information on the total sector and the subsectors contribution to the public sector as a hole. Others needs detailed information on the public corporations., Read more about relevance, Accuracy and reliability, Full coverage of all industries is obtained by conducting a yearly check of the population in relation to a variety of sources. Accounting information is obtained from central and local government accounts and furthermore from questionnaires. Some accounting information is adjusted to the terminology used in the national accounts system and therefore deviates from normal accounting conventions. Furthermore, public corporations may use different methods of accounting. Accounting data entered wrongly are also a source of error, which is minimized by comparison with information from the previous year. If necessary, the company in question is contacted to validate the data., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published in December the year after the latest accounting year and without delays., Read more about timeliness and punctuality, Comparability, These statistics are comparable from 1993 and onwards. The figures are produced according to international guidelines and are therefore comparable with similar estimates from other countries., Read more about comparability, Accessibility and clarity, These statistics are published in Danish press release and in the StatBank under , Public corporations and public sector, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-public-sector-finances

Documentation of statistics

Documentation of statistics: Eggs Production

Contact info, Food Industries, Business Statistics , Mona Larsen , +45 24 81 68 47 , MLA@dst.dk , Get documentation of statistics as pdf, Eggs Production 2025 , Previous versions, Eggs Production 2024, Eggs Production 2023, Eggs Production 2022, Eggs Production 2021, Eggs Production 2020, Eggs Production 2019, Eggs Production 2018, Eggs Production 2017, Eggs Production 2016, Eggs Production 2015, Eggs Production 2014, The purpose of the statistics on egg production is to describe the quantity and value of eggs produced in Denmark. The statistics on eggs have a long history and date back to the 20th century. Since 1955, the statistics have been compiled on the same basis as is used today. From 1996 and onwards, the production of consumer eggs divided into production forms: i.e. eggs from caged hens, barn eggs, free-range eggs and organic eggs. , Statistical presentation, The statistics for eggs production are a quarterly and yearly measurement of the total production of eggs for human consumption and hatching eggs in Denmark. The total production of eggs includes sales to authorized packing companies and estimates for the producers' consumption of own eggs and their direct sales to consumers. The total production of eggs to authorized egg packaging centers is subdivided into the following production types: Cage eggs, barn eggs, free range eggs and organic eggs. In addition, ungraded eggs sold (barn door sales) and used on agricultural holdings are estimated. , Read more about statistical presentation, Statistical processing, Data is collected quarterly from the egg packers on the sale of weighed eggs for consumption by types of eggs. It is a random sample that covers over 90 per cent. of the total eggs weighed. The reported data is searched for errors, after which the searched data are added to the total quantities of eggs. Every month information about hatching eggs is collected from the hatcheries. Data comes from administrative records. The data received is checked for completeness and consistency as well as consistency with previous periods., Read more about statistical processing, Relevance, It is of great interest to agricultural organizations, the Ministry of Environment and Food and the EU. The figures is used intern in Statistics Denmark to estimate quantity and price index, and the Account for Agriculture, which is included in the National Accounts., Read more about relevance, Accuracy and reliability, Data on the eggs weighed in the packing centers has a high quality, as it is mandatory for egg producers to report this data with the Danish Veterinary and Food Administration. The same applies to the number of hatching eggs where it is compulsory for them to be registered in the Ministry of Food., The estimation of eggs for own consumption and sales directly to consumers is estimated. This consumption is set at 12 million kg annually and is separated separately in the Statbank. , Read more about accuracy and reliability, Timeliness and punctuality, The figures for quarters are usually published approx. 2 months after the end of the quarter. In recent years there has been trouble publishing numbers to the pre-announced time, since data has first been available approx. 2 months after the end of the quarter., Read more about timeliness and punctuality, Comparability, The statistics have been compiled since the 20th century but are in their present form comparable from 1997 onwards. Most European countries compile statistics on egg production and the statics are therefore comparable to statistics from other countries within the EU. Data enter into the Economic Accounts for Agriculture, which also enter into the National Account., Read more about comparability, Accessibility and clarity, In StatBank, figures are published under the topic of , Livestock production, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/eggs-production

Documentation of statistics