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      Documentation of statistics: Birth Cohort Crime

      Contact info, Personal Finances and Welfare, Social Statistics , Jonas Ellemand , +45 24 90 74 98 , JOE@dst.dk , Get documentation of statistics as pdf, Birth Cohort Crime 2024 , Previous versions, Birth Cohort Crime 2023, Birth Cohort Crime 2022, Birth Cohort Crime 2021, Birth Cohort Crime 2020, Birth Cohort Crime 2019, Birth Cohort Crime 2018, Birth Cohort Crime 2017, Birth Cohort Crime 2016, Birth Cohort Crime 2014, Birth Cohort Crime 2015, The purpose of the statistics is to analyse the number of persons from each birth cohort who have been found guilty in violation of the penal code during their lifetime. The statistics on birth cohort crime 2024 covers the birth cohorts 1965-2008., Statistical presentation, The statistics shed light on the number of persons in each birth cohort who have been convicted for violation of the penal code during their life time. , The published statistics distributes the birth cohorts by sex and age at first conviction. Furthermore, the statistics show the age at first conviction for groups of offences., Read more about statistical presentation, Statistical processing, Data from Statistics Denmark's register of convictions are linked to data from Statistics Denmark's population register. , When data are delivered to this statistics, they are already validated. However, central variables go through a probability check in form of a comparison with data from the previous year. , Read more about statistical processing, Relevance, The statistics are used broadly by the authorities, organisations, researchers, the press etc. Views and suggestions from key users are taken into consideration in the preparation of the statistics. , Read more about relevance, Accuracy and reliability, The data used in the statistics are drawn from the Central Criminal Register. The data are typically drawn about 1 February following the relevant calendar year. A number of convictions made during the calendar year have not been registered before the data are drawn. This implies that the total number of convictions presumably is under-estimated. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 6 months after the end of the reference year. The statistics are published without delay in relation to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics has been prepared on the same data source since its start. In general, the statistics is therefore comparable during time., Law amendments in terms of changes in the penalties for certain types of offences can have influenced the development in the proportion of the birth cohorts registered with a conviction for these kinds of offences., Read more about comparability, Accessibility and clarity, The statistics are published in: , News from Statistics Denmark, ., In StatBank the statistics are published in the tables , STRAFFO1, , , STRAFFO2, , , STRAFFO3, og , STRAFFO4, ., Furthermore the statistics are published in the publication , Kriminalitet (Criminality), ., See more at the , Subject Page., ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/birth-cohort-crime

      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 2026 , Previous versions, Production and Turnover in Manufacturing Industries 2025, 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, 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 activity nomenclature - Danish activity code. 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 industry sector in Denmark covering mining & quarry, manufacturing and energy supply. 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. , 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 2021, 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: ICT-Expenditure in Enterprises

      Contact info, Business Dynamics , Emil Tappe Bang-Mortensen , +45 24 67 85 25 , EBM@dst.dk , Get documentation of statistics as pdf, ICT-Expenditure in Enterprises 2016 , Previous versions, ICT-Expenditure in Enterprises 2015, ICT-Expenditure in Enterprises 2014, ICT-Expenditure in Enterprises 2013, The purpose of the survey 'ICT expenditure' is to examine the extent of ICT expenditures in the private sector. The survey contributes to the description of the information society. The survey was conducted for the first time in autumn 2004., Statistical presentation, Private sector, : The survey examines ICT expenditure in enterprises . Variables include hardware, pre-packaged and customised software, other ICT equipment (telecommunication equipment, audio and video equipment and other ICT equipment) and ICT consultancy. For enterprises in the private sector, the total ICT expenditure is estimated by industry and size groups. Moreover, expenditure in the different sub-groups of expenditure type is estimated, see above., The public sector, (state and municipalities): ICT expenditure is not collected since 2007., Read more about statistical presentation, Statistical processing, Population of enterprises are selected according to ownership, activity (NACE code) and number of employee (more than 10 full time equivalent), The drawing of sample is coordinated with the SBS accounting statistics., Errors in sum are corrected and outliers are identified, contacted and eventually corrected., Weights are estimated for 60 strata and the recordings of each enterprise is multiplied according to the strata., Read more about statistical processing, Relevance, Statistics is used in business organizations, service contracts with ICT enterprises, ministries and the results are included in research projects., Read more about relevance, Accuracy and reliability, Approx 3,200 responses have been used in the grossing up procedure. The results are grossed up so that they correspond to full coverage of the surveyed industries and size groups. Each enterprise in the sample is assigned a weight such that it represents a certain number of enterprises in the population. The grossing up procedure is based on the number of enterprises, and the number of fulltime employees within employment groups. Regarding the enterprises the response rate is 95 per cent for the survey. Loss is due to bankruptcy, take over, etc. The high response rate indicates that results are reliable as the statistical variance indicates. Measures of inaccuracy for selected variables are available., Read more about accuracy and reliability, Timeliness and punctuality, Statistics are published on time one year and 4 month after reference year., Read more about timeliness and punctuality, Comparability, Comparable figures from 2008 and forward. Eurostat have collected data for 2009 and 2012 not yet published by Eurostat., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, Yearbook: Information Society Denmark., Main results are accessible at the website of Statistics Denmark and at Statbank Denmark., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/ict-expenditure-in-enterprises

      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

      Documentation of statistics: Market Value for Households Real Estate

      Contact info, Government Finances, Economic Statistics , Mikkel Bjerre Trolle , +45 29 36 68 25 , MIT@dst.dk , Get documentation of statistics as pdf, Market Value for Households Real Estate 2024 , Previous versions, Market Value for Households Real Estate 2023, Market Value for Households Real Estate 2022, Market Value for Households Real Estate 2021, Market Value for Households Real Estate 2020, Market Value for Households Real Estate 2019, Market Value for Households Real Estate 2018, Market Value for Households Real Estate 2017, Market Value for Households Real Estate 2016, Market Value for Households Real Estate 2015, This is the first publication of the households’ assets in real estate on individual level. The purpose is to follow the development of the households’ real estate. Sector delimitation of units in the sector of households is defined in European system of national accounts (ESA2010). From this it appears that sole proprietorships are a part of the households’ sector. Registers on individual level can be used for distribution analyses, e.g. in relation to income, financial liabilities or socioeconomic status., Statistical presentation, The statistics provides closing values for each year. The household’s real estate consisting of owner occupied dwellings and co-operative dwellings. All figures are reported in current prices. , Read more about statistical presentation, Statistical processing, Data from the various registers are merged through property identification and personal identification. There are made classifications, aggregations and calculation of the market value. For publication there is added relevant background information about the families., Read more about statistical processing, Relevance, The statistic has a lot of interested parties including ministries, politicians, organizations and the press.., Read more about relevance, Accuracy and reliability, The adjustment factor is the same within a geographic area, even though the actual sales value can vary a lot due to e.g. differences in the location of the owner-occupied dwellings (amenity), which are not reflected completely in the official real estate valuations. The preliminary year are dependent primarily on sales data for real estate. When the final year are calculated all of the sources are available. Experience from 2019 and 2020 shows that the preliminary year tends to underestimate the total market value of the final year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics i published with preliminary figures in march, 3 months after the reference date. Final figures is published a year later. One year and 3 months after the reference date., Read more about timeliness and punctuality, Comparability, The statistic is consistent over time. However, one must be aware that the figures are calculated at current prices. There is no knowledge of any individual based register of household wealth in real estate, which is comparable to the Danish. Figures for total household wealth in real estate are also published in the statistics concerning financial national accounts which is published in June and November., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , Real estate, , and the , theme page, Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/market-value-for-households-real-estate

      Documentation of statistics

      Documentation of statistics: Environmental Protection Expenditures

      Contact info, Science, Technology and Culture, Business Statistics , Henrik Huusom , +45 40 38 36 43 , HHU@dst.dk , Get documentation of statistics as pdf, Environmental Protection Expenditures 2024 , Previous versions, Environmental Protection Expenditures 2023, Environmental Protection Expenditures 2022, Environmental Protection Expenditures 2021, Environmental Protection Expenditures 2020, Environmental Protection Expenditures 2019, Environmental Protection Expenditures 2018, Environmental Protection Expenditures 2017, Environmental Protection Expenditures 2016, Environmental Protection Expenditures 2015, Environmental Protection Expenditures 2014, Environmental Protection Expenditures 2012, In general the statistics illustrate the total direct environmental protection expenditures in the covered types of industry. Distinction is made between current expenditures and investments. Current expenditures includes as well internal costs in the enterprises as purchase of services on environmental protection. Results can be further displayed on spending according to environmental purposes: Protection of ambient air and climate, Wastewater management, Waste management, Heat/energy saving and management and Other environmental protection activities. , Statistical presentation, The statistics describes annually the expenditures on direct environmental protection by types of industry within mining, manufacturing and utilities. Expenditure are reported at environmental purposes either as internal operating expenses or purchase of services related to environmental protection. On the investment side investments are split in either prevention or treatment., Read more about statistical presentation, Statistical processing, Data are collected among enterprises every second year. All enterprises with more than 50 employees are included plus few smaller ones where needed. From 2024 it is ensured that all large energy producers are part of the sample, regardless of main type of activity., The results from data collection are grossed up to totals for each type of industry after data are imputed for the smaller enterprises. These results are supplemented by expenditures in water supply and data from R&D statistics on environmental R&D., In years without data collection, the results are calculated using last years data, changes in turnover according to the account statistics, and the statistics on Investments in manufacturing industries , Read more about statistical processing, Relevance, The results is expected to meet the needs for the users. However, only direct costs are included in the statistics. Results from 2014 and onwards are included in the Green National Accounts., Read more about relevance, Accuracy and reliability, Overall, the results are expected to be reliable. Figures for errors are not yet compiled. The main challenge on quality is the imputation for smaller enterprises, where costs/employee rations are used. This method has been assessed in 2015 and found valid., In years without data collection the results are less secure. Analyses show close relation between turnover and environmental costs on the short run. For investments the results of the estimation is less good due to few observations behind the results., Read more about accuracy and reliability, Timeliness and punctuality, Results are published according to the schedule., Read more about timeliness and punctuality, Comparability, The comparability is expected to be good from 2014 and onwards. For the utility sector the results before 2024 is assessed as underestimated., Read more about comparability, Accessibility and clarity, The statistics are disseminated in the statbank. , Env. expenditures in manufacturing, ., Further, the results is part of a module in the Danish Environmental-economic accounts, Environmental-economic accounts, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-protection-expenditures

      Documentation of statistics

      Documentation of statistics: Sports Participation

      Contact info, Science, Technology and Culture, Business Statistics , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Sports Participation 2025 , Previous versions, Sports Participation 2024, Sports Participation 2023, Sports Participation 2022, Sports Participation 2021, Sports Participation 2020, Sports Participation 2019, Sports Participation 2018, Sports Participation 2017, The purpose of the statistics is to highlight sports participation and results of the population and the professional athletes in Denmark. The statistics describes sports activities, the population's sports and exercise habits, attendances to sports events and Danish sports medal winners in international competitions. The earliest data series in the statistics start from 2007. The statistics in their current form are comparable with other publications of the original sources, eg the Central Association Register, and the Sports Research Institute's surveys of Danes' sports habits., Statistical presentation, The statistics contain information on activity from the sport associations, time series with main results from surveys of the population's sports habits, spectator and number of matches for selected sports and leagues, and an overview of Danish and foreign winners of international sports medals., Read more about statistical presentation, Statistical processing, The statistics of the sports associations' members' and medals for Danish athletes' performances are received from the Central Association Register and from DIF's medal overview. Selected results from IDAN's surveys of the population's sports habits are received in the form of special extracts. Spectators for selected sports and leagues are collected from the relevant federations. Data for statistics of ranking, are collected from DIF and Gracenote., Data are validated by a comparison with previous years' results and tabulated., Read more about statistical processing, Relevance, The statistics are relevant to professionals in institutions, organizations and public authorities as the basis for, for example, forecasts, analyzes and planning purposes. In addition, several of the statistics results are relevant to interested users for the lighting of sports topics., Read more about relevance, Accuracy and reliability, The overall accuracy and reliability of the results of the members' activities of the sports organizations, international medals, ranks and attendance is considered to be high, as it is build on register information from central and authoritative sources. The statistics do not take into account missing reports to resp. the Central Association Register or the federations. This could e.g. be an association with non-reporting of a group of members or a municipality's non-reporting of spectators to a club game. , Read more about accuracy and reliability, Timeliness and punctuality, Publications are made annually approximately four months after the end of the reference period. These statistics are published without delay, with reference to the announced time of publication in the release calendar., Read more about timeliness and punctuality, Comparability, Comparison of statistics with other countries in the area is not made. Certain results are comparable to other publications of the original sources, such as the Central Sports Association Register and results from the Sports Institute's studies of population's sports and exercise habits., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Sports Participation, and in the annual publication on Culture., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sports-participation

      Documentation of statistics

      Documentation of statistics: Corporate Taxation

      Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Corporate Taxation 2024 , Previous versions, Corporate Taxation 2023, Corporate Taxation 2022, Corporate Taxation 2021, Corporate Taxation 2020, Corporate Taxation 2018, Corporate Taxation 2016, Corporate Taxation 2013, Corporate Taxation 2012, The purpose of the statistics Corporate taxation is to shed light on trends in companies' taxable income and tax payments. The statistics cover the period from from 1996 and is published yearly in March. The statistics were first published in 1922 and the method used for calculating the corporate tax has not changed since the first publication. , Statistical presentation, The statistics are an annual account of the taxable income and tax for all companies. The statistics provide information about how many companies that actually pay corporate tax in Denmark. The statistics are shown by type of company and type of industry. The tax is divided by industry and type. , Read more about statistical presentation, Statistical processing, Data is received annually from the Danish Tax Agency. The companies’ information is combined and checked for consistency between a tax declaration part, an assessed part, a joint taxation part, and a deficit part. The validation takes place by comparing the level of the total corporate taxes in relation to the previous year, where both business tendencies and possible tax rate changes are taken into account., Read more about statistical processing, Relevance, The statistics are part of the general economic debate. The statistics are in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often gets a lot of attention in the media and among other professional users., Read more about relevance, Accuracy and reliability, The statistics cover all taxable companies. The data are subject to error detection and results control before publication. Error are corrected in collaboration with the Danish Tax Agency. In general, companies have great incentive to report on time, as they otherwise have to pay a tax supplement. The tax can unpredictably either increase or decline, which is impossible to correct for. The unpredictable changes occurs among other things because of errors in either taxable income or a long review time and process. The corrections are allocated to the relevant year., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in March year two after the income year. The finalised corporate taxes are published in March year three after the income year. The statistics are usually published without delay in respect to the scheduled time. , Read more about timeliness and punctuality, Comparability, The statistics were published for the first time in 1922 and the method for computing the tax has not changed – only the tax rate has changed. The taxation systems vary widely across countries, both in terms of conceptual and computational differences which makes the comparison difficult. The statistics are used when computing the overall surplus (Net lending / net borrowing) in government finance statistics. , Read more about comparability, Accessibility and clarity, In the StatBank the figures are published under , Corporation taxation, . Information about the statistics can be found on , the subject page, ., Read more about accessibility and clarity

      https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/corporate-taxation

      Documentation of statistics

      Documentation of statistics: Account Statistics for Fishery

      Contact info, Food Industries, Business Statistics , Charlotte Spliid Hansen , +45 29 41 97 76 , chh@dst.dk , Get documentation of statistics as pdf, Account Statistics for Fishery 2024 , Previous versions, Account Statistics for Fishery 2023, 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 are published yearly in a Danish press release, at the same time as the tables are updated in the StatBank. In the StatBank, the statistics can be found under the subject , Fishery, . For further information, go to the , subject page, . , Read more about accessibility and clarity

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

      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
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