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Documentation of statistics: Economics of Agricultural Activities

Contact info, Food Industries , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Economics of Agricultural Activities 2023 , Previous versions, Economics of Agricultural Activities 2022, Economics of Agricultural Activities 2021, Economics of Agricultural Activities 2020, Economics of Agricultural Activities 2019, Economics of Agricultural Activities 2018, Economics of Agricultural Activities 2017, Economics of Agricultural Activities 2016, Economics of Agricultural Activities 2015, Economics of Agricultural Activities 2014, The purpose for this statistics for Economics of agricultural activities are to analyze the economic results for individual crops and livestock production. This also applies to horticultural crops. The statistics are based on holdings that have a work equivalent to at least 1 annual work unit (1 AWU equals 1,665 working hours). Holdings are weighted together, achieving a representative statistics for full-time farms. The basic accounts statistics for agriculture has been compiled since 1916 while the economics of agricultural activities is comparable 2021 onwards. In archive a time series for 2008-2021 can be found. , Statistical presentation, The statistics show economic results of production branches in agriculture., Read more about statistical presentation, Statistical processing, The main source to the statistic is account information from accounting offices organized in SEGES. This information is retrieved electronically from the accounting system Ø90 supplemented with necessary additional information (eg. working hours). In addition some financial data for a small number of holdings are retrieved from other accounting offices., The holdings in the sample are checked for outliers and might be excluded in total or from certain activities. The holdings in the final sample are weighted to the population., Read more about statistical processing, Relevance, These statistics are primarily used by researchers and authorities as input into economic models and analyzes., Read more about relevance, Accuracy and reliability, By selection priority is given to farms included in the statistics several years in a row. Together with a uniform collection of data from Ø90 this ensures a high overall reliability of data. , Read more about accuracy and reliability, Timeliness and punctuality, This statistic is normally published with preliminary data within 12 month after closure of the relevant accounting year. Data are final app. three years after closure of the accounting year., Read more about timeliness and punctuality, Comparability, Data from 2021 onwards are comparable. There are no EU based systematic similar statistics for other countries., Read more about comparability, Accessibility and clarity, Statbank Denmark (http://www.Statbank.dk) tables PGKONV1. PGKONV2, PGOEKO1 and PGOEKO2. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/economics-of-agricultural-activities

Documentation of statistics

Documentation of statistics: The Exit Register

Contact info, Population and Education, Social Statistics , Asger Bromose Langgaard , +45 21 59 96 46 , ALG@dst.dk , Get documentation of statistics as pdf, The Exit Register 2021 , Previous versions, The Exit Register 2020, The Exit Register 2016, The Exit Register 2015, The Exit Register 2014, Exit register 2013, The Exit Register 2012, The purpose of The Exit Register is to give a fundament for describing transitions from a education group in The Transition Register to further education or the labor marked., Statistical presentation, To illustrate the transition from the education groups in the transition register to continuing education or the labor market, there are information about ongoing education or labor market status 3, 9, 15 and 21 month after exit from a education group., Read more about statistical presentation, Statistical processing, There is no data collection or disrupted data processing in connection with the production of the completion register. The starting point is a group of student who complete a education group in the transition register. For each group, there are information on education and labor status 3, 9, 15 and 21 months after departure. The information is obtained from the labor market and The Student Register., Read more about statistical processing, Relevance, The Exit Register is relevant if you want to highlight transition from education to either continuing education or the labor market., Read more about relevance, Accuracy and reliability, The information comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections. The Labor Marked Account constitutes a census of the population and the statistical accuracy of the statistics is considered to be relatively high. There is, however, still some degree of uncertainty linked to the statistics. Fore further information se the statistics documentation for Labor Marked Account., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published 3 years after the end of the reference period. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The Exit Register has been compiled since 2012 and there is no corresponding register in other countries., Read more about comparability, Accessibility and clarity, These statistics are published once a year 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 , From education to labour market, . For further information, go to the , subject page, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/the-exit-register

Documentation of statistics

Documentation of statistics: Child care in private kindergartens before school start

Contact info, Population and Education , Get documentation of statistics as pdf, Child care in private kindergartens before school start 2023 , Previous versions, Child care in private kindergartens before school start 2022, Child care in private kindergartens before school start 2021, The following statistics show the number of enrolled children and the number of employed personnel in private daycare institutions. Children and personnel are assessed as full-time equivalent. The statistics are published for the first time in the year 2022., Statistical presentation, The statistics provide an annual report on the number of enrolled children and staff with educational responsibilities in private daycare institutions. Both children and staff are converted into full-time equivalents, and only pedagogical staff, such as pedagogical managers, early childhood educators, assistants, and aides, are included in the report. Children and staff in day care, pool scheme institutions, as well as municipal and self-governing daycare institutions, are not included in the statistics., Read more about statistical presentation, Statistical processing, Information on enrolled children and staff with educational responsibilities is received electronically from the municipal administrative systems and private payroll providers. Data validation is conducted, and the data may potentially be adjusted as a result of this process., Read more about statistical processing, Relevance, The ministries use the statistics to compare municipal resource allocation for childcare and to develop policies in the area. Interest organizations, such as BUPL, KL, and FOLA, use the statistics to evaluate resource allocation and the service level in the childcare sector. The data is collected based on an agreement between Statistics Denmark and the Ministry of Children and Education., Read more about relevance, Accuracy and reliability, Data primarily originates from municipal administrative systems. The accuracy may be affected by errors and omissions in the municipalities' records and the private daycare payroll data, as well as the correctness of keys used, for example, to allocate children into age groups in integrated institutions., Read more about accuracy and reliability, Timeliness and punctuality, To be implemented, Read more about timeliness and punctuality, Comparability, To be implemented, Read more about comparability, Accessibility and clarity, To be implemented, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/child-care-in-private-kindergartens-before-school-start

Documentation of statistics

Documentation of statistics: Sales of Pesticides and Pesticides Usage in Crop Farming

Contact info, Food Industries , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Sales of Pesticides and Pesticides Usage in Crop Farming 2016 , Previous versions, Sales of Pesticides and Pesticides Usage in Crop Farming 2014, The purpose of this statistic is to illuminate the sale and use of pesticides in agricultural crops. The statistics are used inter alia to assess the environmental and health risks associated with the use of pesticides. The statistics are comparable from 1981 onwards., Statistical presentation, The statistics are an annual statement of pesticide sales and pesticide use in agricultural crops, by weight and frequency of treatment. Pesticide sales are divided into pesticide type and pesticide group., Read more about statistical presentation, Statistical processing, Data are collected by Environmental Protection Agency., Read more about statistical processing, Relevance, The statistics cover the need for information on which substances and amounts of pesticides that are being used. This information is used along with the documentation used in connection with approval of pesticides, as an essential prerequisite in order to assess some of the environmental and health risks associated with the use of pesticides., Read more about relevance, Accuracy and reliability, Errors may occur in connection with registration of data in The Ministry of Environment as a a huge amount of data information is involved. , Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published no later than the year after the end of the reference period. The statistics are published without delay in relation to scheduled release times., Read more about timeliness and punctuality, Comparability, The Danish Crop Protection Association also collects data about sales of pesticides. However, the material is not suitable for use in connection with the compilation of pesticide statistics as the association only has nineteen members. The statistics can give a rough idea about developments. The statistics are published earlier than data are received from the Danish Environmental Protection Agency., Read more about comparability, Accessibility and clarity, The statistics are published in StatBank Denmark under the topic , Raw materials and auxiliaries, in the tables , PEST1, and [PEST2](http: //http://www.Statbank.dk/PEST2)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/sales-of-pesticides-and-pesticides-usage-in-crop-farming

Documentation of statistics

Documentation of statistics: Production and Turnover in Service Industries

Contact info, Short Term Statistics, Business Statistics , Lina Pedersen , +45 51 68 72 80 , lip@dst.dk , Get documentation of statistics as pdf, Production and Turnover in Service Industries 2025 , Previous versions, Production and Turnover in Service Industries 2021, These statistics shows the cyclical development both in the volume output for service industries and turnover. The statistics are compiled based on turnover indices from the statistic Purchases and Sales by Enterprises and on price indices from Producer Price Index for Services (SPPI). For the split into the counting unit KAU we use the statistic Workplaces, job, full-time employment, wage and salary cost by industry (DB07). The statistics is from 2021, with base year 2021. , Statistical presentation, These statistics consist of a number of monthly turnover and volume indices, where indices on turnover are divided by indices on prices. The indices are divided by service industries that follows the definitions in NACE rev. 2. The indices are disseminated both with and without seasonal adjustment., Read more about statistical presentation, Statistical processing, The two data series containing indices of Production and Turnover in Service are division based on Purchases and Sales by Enterprises, on price indices from Producer Price Index for Services (SPPI) and Workplaces, job, full-time employment, wage and salary., Read more about statistical processing, Relevance, The statistics are ordered by Eurostat., Read more about relevance, Accuracy and reliability, Revisions on the indices can occur three and a half years back in time, but usually major revisions occur in later periods. The reliability of the statistics increases updates on indices from Purchases and Sales by Firms, Producer Price Index for Services. There are no calculations on uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The indices are published t + 3M, where t is the reference period., Read more about timeliness and punctuality, Comparability, These statistics have been compiled since 2024 with comparable figures from 2021 and onwards. These statistics are compiled according to common European guidelines and are therefore comparable with statistics from other countries published by Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published quarterly 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 , Production and turnover in the service sector, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Environmental accounts for Denmark (Discontinued)

Contact info, National Accounts, Climate and Environment , Ingeborg Vind , +45 24 83 51 49 , INV@dst.dk , Get documentation of statistics as pdf, Environmental accounts for Denmark (discontinued) 2013 , Previous versions, Environmental accounts for Denmark (discontinued) 2012, These statistics are no longer compiled under the name Environmental Accounts for Denmark. Now specific documentations of statistics can be found under the subject page Environmental-Economic Accounts., Statistical presentation, The environmental accounts contain information on a) Material flows in the form of the the weight of Danish resource extraction, import and exports, b) Air emissions of different substances (CO2, N2O, CH4, PFC, HFC, SF6, NOx, NMVOC, CO, PM10, PM2.5, SO2, NH3), c) Public expenditure and revenue on the environment as well as d) Environmental related taxes etc., The definitions used in the environmental accounts ensures that the information immediately can be used for analyses of the interaction between the economic activities and e.g. air emissions of some of the above-mentioned substances., Read more about statistical presentation, Statistical processing, Emission accounts are compiled taking energy accounts as a starting point for the emissions caused by the use of energy. Emissions caused by other factors than energy use are added subsequently and distributed among the relevant industries. , Tax revenues are broken down by industries on the basis of detailed information from National Accounts., Material Flow Accounts are compiled on the basis of internal and external sources on resource extraction., Read more about statistical processing, Relevance, Environmental Accounts are relevant for those interested in the correlation between the economy on the one side and environment and natural resources on the other side. Ministries and consultant firms are among the main users of environmental accounts. Accounts are included in the overall European environmental accounts, collected and compiled by Eurostat., Read more about relevance, Accuracy and reliability, Figures on statistical uncertainty have not been estimated., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published without delays., Read more about timeliness and punctuality, Comparability, The industry classification in the tables is the same as the one used in the national accounts. The tables can therefore be compared to other statistics based on the industry classification. Accounts are compiled in form of time series. For example accounts for air emissions are available for each year from 1990 until the last year that is published. Accounts are consistent and fully comparable within these years. On the more aggregated level (NACE 64), the Danish accounts are comparable with accounts of other EU countries compiled according to the Regulation no. 691/2011 on European environmental economic accounts., Read more about comparability, Accessibility and clarity, Environmental-economic accounts, Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/environmental-accounts-for-denmark--discontinued-

Documentation of statistics

Documentation of statistics: Rent indices for commercial real estate (Experimental statistics)

Contact info, Prices and Consumption , Get documentation of statistics as pdf, Rent indices for commercial real estate (Experimental statistics) 2024 , Previous versions, Rent indices for commercial real estate (Experimental statistics) 2023, The rent indices for commercial real estate is an experimental statistics for rented property units in the commercial real estate market. The purpose of the statistics is to measure change over time. The statistics is published since 2023 with indices going back to 2021., Statistical presentation, The statistics is a quarterly statistics for the Denmark., Read more about statistical presentation, Statistical processing, The rent indices is based on a sample of commercial real estate that are privately rented. The sample covers app. 140,000 property units out of a population of app. 700,000 property units. The index is calculated by the match models method, i.e. the change in rent is measured by comparing the rent of the same property unit between two adjacent periods., Read more about statistical processing, Relevance, The statistics is primary used as a business cycle indicator by the European Systemic Risk Board and the European Central Bank. Other uses of the statistics is to shed light on developments of rent in the rental market for commercial real estate., Read more about relevance, Accuracy and reliability, It is not possible to quantify the statistical uncertainty in the rent indices for commercial real estate because the sample is not randomly drawn from the population, thus there is a potential for a sample bias.. The rent is collected on the first day of the first month of the relevant quarter. Thus, there will be uncertainty associated with changes to the rent within the quarter that are not captured., Read more about accuracy and reliability, Timeliness and punctuality, The statistic is published on the 15th or the first working day thereafter, in the first month after the quarter. Only final indices are published., Read more about timeliness and punctuality, Comparability, The calculation is based on a uniform basis since 2021. The statistics is not necessary comparable with other statistics that cover the same population due to differences in calculation method., Read more about comparability, Accessibility and clarity, The statistics is published under the subject of Rent indices for housing., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/rent-indices-for-commercial-real-estate--experimental-statistics-

Documentation of statistics

Documentation of statistics: Book Production

Contact info, Science, Technology and Culture , Trine Jensen , +45 20 13 88 17 , TSN@dst.dk , Get documentation of statistics as pdf, Book Production 2023 , Previous versions, Book Production 2022, Book Production 2021, Book Production 2020, Book Production 2018, Book Production 2017, Book Production 2016, Book Production 2015, Book Production 2014, The purpose of the statistics is to shed light on the development of book publishing in Denmark. The statistics show the development in respectively the number of books published (the number of unique publications) and book titles. For example, it is possible to follow the trend in the number of first editions of fiction e-books or new editions of commercial, physical books in the field of professional literature. The statistics contain information for 2007 and onwards., Statistical presentation, The book production statistics are an annual inventory of the number of books and book titles published. A book here is a commercial publication, written material published by public institutions or a scientific report. All figures for the past six years are preliminary and revised annually., Read more about statistical presentation, Statistical processing, The statistics are based on the national bibliographic record in the Danish Book List. The Danish Library Center delivers data to the statistics via a system-to-system solution. Data is checked for large fluctuations compared to the previous year before the preparation of tables for the statistics bank., Read more about statistical processing, Relevance, The key users are players in the book industry, the The Agency for Culture and Palaces and others interested. The statistics are used for analysis and planning in the field of literature. There is ongoing contact with The Agency for Culture and Palaces, where the quality of the statistics and user needs are assessed., Read more about relevance, Accuracy and reliability, The source of the statistics is the Danish Book List, which receives books and other material from the publishers as a result of the Danish Duty Delivery Act and therefore covers the vast majority of publications in Denmark., The figures for the past six years are preliminary. This is due to post registrations of published books. The re-adjustment of the counting year can be considerable the following year., Read more about accuracy and reliability, Timeliness and punctuality, The figures for the past six years are preliminary. The statistics are published at the beginning of October. The statistics are usually published without delay compared to the announced time., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable with previous publications on book production statistics from the Danish Library Center. There are no international guidelines for compiling book production statistics., Read more about comparability, Accessibility and clarity, These statistics are published in the StatBank under , Literature, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Imprisonments

Contact info, Population and Education, Social Statistics , Iben Birgitte Pedersen , +45 23 60 37 11 , IPE@dst.dk , Get documentation of statistics as pdf, Imprisonments 2024 , Previous versions, Imprisonments 2023, Imprisonments 2022, Imprisonments 2021, Imprisonments 2020, Imprisonments 2019, Imprisonments 2018, Imprisonments 2017, Imprisonments 2016, Imprisonments 2015, The purpose of the statistics is to analyze the number of arrests for violation of the penal code and the special laws (among these the Danish Road Traffic Act). The statistics on imprisonments was published for the first time for the year 2015., Statistical presentation, The statistics shed light on the number of arrests for violation of the penal code, the road traffic act and other special legislation. In the published statistics the arrests are classified into type of offence, outcome and education. Demographically the statistics are divided into age and sex., Read more about statistical presentation, Statistical processing, Data on imprisonments, which Statistics Denmark receive from the Central Criminal Register, are linked to data from Statistics Denmark's Population Register and Statistics Denmark's Educational Register. Data 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, enterprises, organisations, researchers, the press, in the public debate 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 imprisonments started/ended during the calendar year have not been registered before the data are drawn. This implies that the total number of imprisonments presumably is under-estimated., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published approximately 5 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, Since 2015, the statistics has been prepared on the same date source. In general the statistics is therefore comparable during time. As a consequence of law amendments or wishes for more information on specific kind of offences the division of type of offences has been altered during the years. , Read more about comparability, Accessibility and clarity, In StatBank the statistics are published in the tables , STRAF70, , , STRAF71, , , STRAF72, , , STRAF73, , og , STRAF74, ., Furthermore the statistics are published in the publication , "Kriminalitet", (Criminality)., See more at the , Subject page, ., Taylor made statistics can be produced on the basis of data from different registers, moreover through Statistics Denmark's Division of Research Service it is possible for researchers to be granted access to anonymised data., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Felling of Wood in the Danish Forests

Contact info, Food Industries , Karsten Kjeld Larsen , +45 21 29 55 76 , KKL@dst.dk , Get documentation of statistics as pdf, Felling of Wood in the Danish Forests 2023 , Previous versions, Felling of Wood in the Danish Forests 2022, Felling of Wood in the Danish Forests 2021, Felling of Wood in the Danish Forests 2020, Felling of Wood in the Danish Forests 2019, Felling of Wood in the Danish Forests 2018, Felling of Wood in the Danish Forests 2017, Felling of Wood in the Danish Forests 2016, These statistics cover the production of wood in Danish forests and plantations. The figures are used for the calculation of the gross value added for forestry. Statistics on felling of wood in Danish forests and plantations can be traced back to 1950., Statistical presentation, The statistics are a yearly enumeration of number of forestry farms by size of area, tree felling and size of the forestry area. The tree felling is divided into tree for energy, firewood and different kinds of timber. Timber can for instance be used for production of paper and furniture. The figures are distributed geographically by regions and provinces., Read more about statistical presentation, Statistical processing, The base of the statistics is a sample survey with questionnaires. The sample is representative for regions and size groups.., The questionnaires are completed online. Before publication the answers are validated where each single questionnaire is subject to a control for reliability. , Read more about statistical processing, Relevance, There is no survey on user satisfaction but the main impression is a high degree of satisfaction, however many users would like to have figures for area with forestry by municipalities. , Read more about relevance, Accuracy and reliability, Due to a small sample of only 10 percent of the forests the sample error is higher than for similar agricultural surveys, also because a relatively big part of the felling is among small forests with a low coverage in the sample., The sample error of felling of trees s about 2 per cent., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published in November the year after the reference year. The figures for 2023 however were first published December 13 2024., Read more about timeliness and punctuality, Comparability, The survey has always had the same standard and the same target population. Prior to the 2012 survey Statistics Denmark conducted a project aiming at improving the register of forestry farms. At the same time the extrapolation was for the first time made dependent on the total area with forestry. It means that the total felling in 2012 estimated to 3.1 million m3 should be seen as reliable whereas the results recent years before 2012 most likely are underestimated by about 500.000 m3., Read more about comparability, Accessibility and clarity, These statistics are published yearly in a Danish press release and in the StatBank under , Forestry, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/felling-of-wood-in-the-danish-forests

Documentation of statistics