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Bosnia-Herzegovina 2024-2026

Statistics Denmark is implementing an EU-financed Twinning project in Bosnia and Herzegovina in cooperation with the national statistical institutions of Finland, Slovenia and Italy. The project runs from January 2024 to January 2026. This project is the fifth in a row of collaboration projects financed by the EU, with Statistics Denmark as the lead agency., This Twinning project addresses multiple institutions as they all constitute the national statistical system of Bosnia-Herzegovina. , The beneficiary institutions are:, Agency for Statistics of Bosnia and Herzegovina, Institute for Statistics of the Federation of Bosnia and Herzegovina, Institute for Statistics of Republika Srpska,, The Central Bank of Bosnia and Herzegovina, The overall objective of the project is to strengthen the national statistical system (NSS) in Bosnia-Herzegovina facilitating its approximation to the Union , acquis, in the area of statistics. The importance of this objective was highlighted on 15 December 2022, when , Bosnia and Herzegovina received candidate status for EU membership. The candidate status adds further urgency to the approximation process. , The project addresses five independent components:, Component 1: Business Statistics , Component 2: Tourism Satellite Accounts (TSA), Component 3: Information and Communication Technology Statistics (ICT), Component 4: Labour Markets Statistics , Component 5: Monthly Balance of Payments Statistics, Business Statistics, From previous Twinning Projects in Bosnia-Herzegovina, Danish and Finish experts have an in depth understanding of the local conditions. As EBS has come into effect both structural business statistics and short term statistics has to be adjusted in terms of methodology and data collection thereby requiring changes to the Statistical Business Register. At the same time, the burden put on respondents must not grow and should preferably be reduced through better data collecting and use of administrative data. ,  , Administrative data sources, The consortium has significant experience in the use of administrative data for production of statistics. With some accuracy, it can be claimed that the use of administrative data was invented in Scandinavia.,  , Denmark and Finland has a long history of using administrative data sources. Statistics Finland is required by law to use administrative sources if available in order to minimize respondent burden and in Denmark, nearly all social statistics are based on administrative records. Data on wages and employment are also usually extracted from business and tax authorities. ,  , TSA and ICT, TSA and ICT are new areas to this Twinning but are all produced by the MS partners. Implementation of ICT in Bosnian-Herzegovina is already well advanced and the component may be directed more at methodologies used for collecting and producing the statistics than actually compiling them. TSA or more formally Tourism Satellite accounts are often produced in a venture between NSIs and relevant public institutions such as the national board of tourism and academia. ,  , Labour markets statistics, Labour market statistics are produced according to Eurostat and ILO requirement. Data is compiled using a combination of surveys and administrative records. The coming project will focus on using administrative records.  ,  , Monthly Balance of Payment, Balance of Payment is usually produced in close collaboration between the national statistical institutes and the Central / National Bank. As in two previous project, we hope to continue the work relation established between Statistics Finland, the Central Bank of Finland and the Central Bank of Bosnia-Herzegovina. If relevant expertise from Italy may also be mobilized.

https://www.dst.dk/en/consulting/projects/bosnia-herzegovina-2024-2026

Documentation of statistics: Forest Accounts

Contact info, National Accounts, Climate and Environment , Michael Zörner , +45 24 41 73 66 , MIZ@dst.dk , Get documentation of statistics as pdf, Forest Accounts 2023 , Previous versions, Forest Accounts 2022, Forest Accounts 2021, Forest Accounts 2020, Forest Accounts 2018, Forest Accounts 2016, The forest accounts are accounts for the Danish forests as a natural resource. The accounts comprise the forest land as well as the wood (timber) resource. The forest accounts were first published in 2017, as part of the Green National Accounts for Denmark. In 2021, the accounts have been extended back in time so all data series start in 1990., Statistical presentation, The forest accounts are an annual account of the Danish forest area and the growing stock in the forests. The accounts contain opening and closing stocks as well as balancing items broken down by region. Concerning the growing stock, the accounts are in physical units (cubic meters) as well as monetary units (DKK) and are published with a division into broadleaves and conifers, whereas the forest area is accounted only in physical units (square km). The accounts are published in the StatBank as well as in general publications from the Green National Accounts for Denmark., Read more about statistical presentation, Statistical processing, The forest accounts are produced separately for forest area and for growing stock. The accounts for the forest area are obtained almost directly from the Danish reporting on land cover under the Kyoto Protocol. For the physical growing stock accounts, several sources are matched and harmonized in order to compile complete and consistent accounts. From the physical growing stock accounts, the monetary accounts (in DKK) are calculated through a valuation model based on estimated prices., Read more about statistical processing, Relevance, The forest accounts are of relevance for administrative bodies, researchers, NGOs, businesses, the educational sector and individuals - all with interests in forest, natural resources, interactions between environment and economy, natural capital, sustainability etc. In the context of the United Nations and other international organizations, there is a large focus on green national accounts., Read more about relevance, Accuracy and reliability, The forest accounts are reliable estimates of the physical size of the resources, as well as the change in these over a number of years. Smaller variations from one year to the next may however reflect uncertainties rather than real changes. Especially for the monetary valuation of the growing stock (in DKK) there is significant uncertainty, both concerning the estimated prices as well as inherent in the method used which is based on a number of assumptions. The estimate for the value of the growing stock should therefore be considered a provisional estimate of the order of magnitude., Read more about accuracy and reliability, Timeliness and punctuality, The forest accounts are normally published 18 months after the reference period ends. The accounts have always been published at the preannounced date., Read more about timeliness and punctuality, Comparability, The forest accounts are compiled according to the guidelines for asset accounts for natural resources from the UN statistical standard 'System of Environmental-Economic Accounting'. This ensures a high degree of comparability with the same type of accounts from other countries using this standard. The forest accounts are fully comparable across the published time series., Read more about comparability, Accessibility and clarity, The forest accounts are available in their most detailed form through the StatBank. General results are communicated through Statistics Denmark's various publications covering the Green National Accounts for Denmark. See also the topic page , Natural resource accounts, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/forest-accounts

Documentation of statistics

Documentation of statistics: From Primary and Lower Secondary and General Upper Secondary School to Further Education

Contact info, Population and Education , Lene Riberholdt , +45 23 60 62 18 , LRI@dst.dk , Get documentation of statistics as pdf, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2023 , Previous versions, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2021, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2020, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2017, From Primary and Lower Secondary and General Upper Secondary School to Further Education 2014, The analysis is a cohort analysis of students with lower or upper secondary general school leaving certificate and their further education in the Danish school system. (Adult education is not included). The present statistic which is based on CPR numbers, was first collected in 1973. Before 1973 the Ministry of Education collected the information at class level. The first cohort analysis was published in March 1978 with information regarding pupils who graduated in 1973/1974., Statistical presentation, The cohort analysis is an analysis of the education of a cohort of students with lower or upper secondary general school leaving certificates after graduation. A cohort is defined as pupils leaving lower secondary or traditional general secondary education. It is established how many students are in education, have completed an education, have interrupted an education or have no records about further education, Read more about statistical presentation, Statistical processing, The information in the Integrated Register of Students are based on annual reports from the Danish educational institutions. The majority of data is collected by system-to-system reporting. However, there are a few educational institutions which report through web questionnaires. In cooperation with system suppliers. Statistics Denmark has established requirements for reporting formats, validation and error searches. In addition, there is an extensive validation of data in Statistics Denmark., Read more about statistical processing, Relevance, The register gives a foundation for analyzing the transitions from lower secondary and upper secondary general education to further education in the ordinary education system., Read more about relevance, Accuracy and reliability, The reliability of the educational information is judged to be good. The information in the student register, comes from the institutions' administrative register and goes through an comprehensive error check in connection with the annual data collections., Read more about accuracy and reliability, Timeliness and punctuality, The statistics are published half a year after the end of the reference time. The statistics are usually published without delay in accordance with the scheduled date. , Read more about timeliness and punctuality, Comparability, Statistics Denmark have published Further education statistics since 2001. The comparability over time is good., 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 , Educational transitions , . For further information, go to the , subject page, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/from-primary-and-lower-secondary-and-general-upper-secondary-school-to-further-education

Documentation of statistics

Documentation of statistics: Continuing Vocational Training Survey (CVTS)

Contact info, Population and Education, Social Statistics , Nare Hakhverdyan , NHD , NHD@dst.dk , Get documentation of statistics as pdf, Continuing Vocational Training Survey (CVTS) 2020 , Previous versions, Continuing Vocational Training Survey (CVTS) 2016, Continuing Vocational Training Survey (CVTS), The purpose of the CVTS survey has been to create a comparable European statistics on Continual Vocational Training and education of the employees in enterprises. The statistic constitutes a part of the strategic goal of long life learning., which is a central feature in EU's strategy to increase the competitiveness of European enterprises hen hence the economic growth., Statistical presentation, The data collected in the CVTS surveys (CVTS = Continual Vocational Training Survey) describes the enterprises activities in relation to continuing vocational training in the enterprises. The variables are specified in The European Parliament and Council Regulation No 1552/2005. Primarily it concerns the various types of training artivities, time usage and costs involved in the activities as well as planning aspects. In relation to CVTS2006 some variables are not included in CVTS2011. A few variables have been removed in CVTS2016 and a few has been simplified when compared to CVTS2011. Special COVID-19 questions were included in CVTS2020., Read more about statistical presentation, Statistical processing, Various procedures were conducted for data controlling and high quality. To assure consistency, answers which were not logic were checked and corrected by follow up by contact to the responding enterprises if necessary. Furthermore, an imputation on core variables was applied, the variables specified by Eurostat. A weighting procedure on 60 cells was applied (20 NACE categories and 3 size groups) in such a way that the sample was representative for the universe.., Read more about statistical processing, Relevance, The survey results are mainly of interest to persons engaged in the educational sector, educational institutions, ministries and business organizations., Read more about relevance, Accuracy and reliability, CVTS2006: Postal questionnaires supplemented with data from administrative registers. About 60 per cent of the returned questionnaires ended up being scanned and the rest were registered manually. The scanning of the questionnaire gave problems with the data quality for some questions, in particular concerning the questions on amounts of money, number of persons and hours. CVTS2011, CVTS2016 and CVTS2020: Web interviews in combination with telephone interviews supplemented with data from administrative registers. The survey questions about amounts of money, number of persons and hours etc. in particular gave problems with the data quality as these questions needed several persons to be involved., Read more about accuracy and reliability, Timeliness and punctuality, CVTS3: Published: 4th quarter 2007., CVTS4: Reference period: 2010. Published: 21st of Feburary 2014. , CVTS5: Reference period: 2015. Published: 21st of February 2019., CVTS6: Reference period: 2020. Published: 28th of June 2022., The period from the end of the reference period for CVTS until publication is mainly due to efforts carried out to increase response rate as well as data quality., Read more about timeliness and punctuality, Comparability, Eurostat publish data for the EU-member states for CVTS. The results are comparable across the member states as the same guidelines have been applied. The guidelines was specified by EU., Read more about comparability, Accessibility and clarity, News from Statistics Denmark and the Statbank., The CVTS results from all participating countries will be published by Eurostat on New Cronos statistical data base., Some data from CVTS2006, CVTS2011, CVTS2016 and CVTS2020 are available from the statbank: , CVTS - Statistikbanken, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/continuing-vocational-training-survey--cvts-

Documentation of statistics

Contact: Science, Technology and Culture

Section/Title, Name, Phone, Mail, Student, Student, Emilia Franz , +45 21 16 04 02, emi@dst.dk, Student, Student, Signe Bast Nielsen , +45 21 15 79 52, sbn@dst.dk, Management and Office Support, Head of Division, Head of Division, Claus Werner Andersen , +45 91 37 64 04, cwa@dst.dk, Culture, Senior Adviser, Senior Adviser, Cecilie Bryld Fjællegaard , +45 51 27 86 09, cbf@dst.dk, Head of Section, Head of Section, Anders Yde Bentsen , +45 40 33 68 81, ayb@dst.dk, Head of Section, Head of Section, Isabel Maria dos Santos Cardoso , +45 61 50 11 61, imc@dst.dk, Head of Section, Head of Section, Trine Jensen , +45 20 13 88 17, tsn@dst.dk, Head of Section, Head of Section, Christian Max Gustaf Törnfelt , +45 21 63 60 20, cht@dst.dk, Senior Head Clerk, Senior Head Clerk, Peter Søndergaard Rasmussen , +45 23 47 20 06, psr@dst.dk, Digital economy, Chief Adviser, Chief Adviser, Anne Vibeke Jacobsen , +45 20 14 84 28, avj@dst.dk, Head of Section, Head of Section, Anton Lyngvold Erenbjerg , +45 20 14 57 90, ael@dst.dk, Head of Section, Head of Section, Anne Sofie Hummelmose , +45 21 15 35 55, asf@dst.dk, Student, Student, Holger Rank Hassing , +45 20 23 96 92, hoh@dst.dk, Environment and energy, Senior Adviser, Senior Adviser, Henrik Huusom , +45 40 38 36 43, hhu@dst.dk, Senior Adviser, Senior Adviser, Ole Olsen , +45 29 77 14 98, olo@dst.dk, Senior Head Clerk, Senior Head Clerk, Susanne Maibom Theilgaard , +45 29 44 66 10, stg@dst.dk, Research and development, Chief Adviser, Chief Adviser, David Boysen Jensen , +45 61 50 73 82, dby@dst.dk, Senior Adviser, Senior Adviser, Sara Tvile Marker , +45 23 74 28 36, stk@dst.dk, Head of Section, Head of Section, Anne-Sofie Dam Bjørkman , +45 20 37 54 60, asd@dst.dk, Head of Section, Head of Section, Julius Gotthardt Møller , +45 23 74 66 48, jgm@dst.dk, Head of Section, Head of Section, Mille Wilhjelm Poulsen , +45 40 18 78 40, mwp@dst.dk, Head of Section, Head of Section, Mads Otto Lind Rasmussen , +45 23 74 35 79, mtt@dst.dk, Hourly Paid Consultant, Hourly Paid Consultant, Helle Månsson , +45 23 47 32 96, hej@dst.dk

https://www.dst.dk/en/OmDS/organisation/TelefonbogOrg?kontor=18&tlfbogsort=sektion

Economy in the cultural field

The statistics The importance of cultural and creative industries in the national economy are presented within a national accounting framework and provide an overall measure of the industries' production, gross value added (GVA), imports, exports and employment. The statistics regarding public funding for cultural purposes, show the amounts of money allocated by the public sector, e.g. the state and municipalities, for cultural purposes. These grants are distributed across various cultural areas such as sports, libraries, radio and TV, performing arts, museums and music. The statistics Payments by the Ministry of Culture show the distribution of government funds allocated within the Ministry of Culture’s domain. , Introduction, The purpose of the statistics The importance of cultural and creative industries in national economy is to show the significance of cultural and creative industries in the Danish economy, presented within a national accounting framework. Concepts from national accounts, such as production and gross value added (GVA), are linked to the classifications of cultural and creative industries. The aim is to reflect not only the direct activities within the cultural and creative industries but also the indirect activities taking place in other sectors that support them. , The statistics Public funding for cultural purposes cover the public sector (state and municipal) cultural budget and show the funds allocated to cultural institutions, projects and individuals. These funds are used for the operation of institutions, subsidies for specific activities/projects, scholarships, construction projects, distribution support, etc., The statistics Payments by the Ministry of Culture show the allocation of state funds distributed within the area of the Ministry of Culture. The funds are allocated to cultural institutions, projects, artists and others. They are distributed for operations and specific activities as well as for library remuneration, grants and more. In the statistics, funds are recorded at the point when the recipient gains control over the funds., Documentation, Documentation of statistics, Get an overview of the purpose, content and quality of the statistics. Here you can find information on the sources that the statistics are derived from, what the statistics contains and how often it is published., Payments by the Ministry of Culture, Public Funding for Cultural Purposes, The importance of cultural and creative industries in the national economy, Key figures, In Statbank Denmark, you can find more data on Public funding for cultural purposes (BEVIL02), In Statbank Denmark, you can find more data on Payments by the Ministry of Culture (KUBS01), Related content in Economy in the cultural field, Tables in Statbank , Scheduled releases , Contact, Anders Yde Bentsen, Phone: +45 40 33 68 81, Mail: , ayb@dst.dk

https://www.dst.dk/en/Statistik/emner/kultur-og-fritid/kulturomraadets-uddannelse-oekonomi-og-beskaeftigelse/kulturomraadets-oekonomi

Subject page

Documentation of statistics: Emission Accounts

Contact info, National Accounts, Climate and Environment, Economic Statistics , Leif Hoffmann , +45 23 69 58 63 , LHF@dst.dk , Get documentation of statistics as pdf, Emission Accounts 2024 , Previous versions, Emission Accounts 2023, Emission Accounts 2022, Emission Accounts 2021, Emission Accounts (including the climate footprint) 2020, Emission Accounts 2019, Emission Accounts 2018, Emission Accounts 2017, Emission Accounts 2016, Emission Accounts 2015, Air Emission Accounts 2013, Documents associated with the documentation, Metodedokument for statistikbanktabel LABY34 (pdf) (in Danish only), The purpose of the Air Emission Account is to illustrate the emission of greenhouse gases and other air pollutants related to industry and households energy consumption and other activities. The accounts can be used for climate and environmental-economic analysis. The emission accounts are developed for 1990 and onwards according to EEA, System of Environmental Economic Accounting, which is a statistical standard published by the UN and several other international organizations provides the "State of the art" for Green National Accounts. The statistics is part of the Environmental-Economic Accounts for Denmark (Green National Accounts)., Statistical presentation, The air emission accounts are annually accounts on the emission of greenhouse gases and other air pollutants. The air emission accounts follow the same definitions and classification as National Accounts, which allows for analyses of the connection between the economy and air pollution. The accounts are published in a Danish press release and in StatBank under the subject , Energy and air emissions, ., 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., 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, There is an uncertainty connected to the compilation of Air Emission Accounts as a combination of scientific assumptions and calculations have to be made. Uncertainty inherited in the source data is transferred to the Air Emission Accounts. However, conceptually consistent and over time uniform treatment of source data contribute to increasing the certainty of data., Read more about accuracy and reliability, Timeliness and punctuality, Data is normally published nine month after the reference year 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, 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, These statistics are published annually in a , Danish press release, , at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Energy and air emissions, . For further information, go to the subject page for , Energy and Emission Accounts, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/emission-accounts

Documentation of statistics

Documentation of statistics: Producer Price Index for Services

Contact info, Prices and Consumption, Economic Statistics , Nicklas Milton Elversøe , +45 61 15 35 98 , NEL@dst.dk , Get documentation of statistics as pdf, Producer Price Index for Services 2025 , Previous versions, Producer Price Index for Services 2024, Producer Price Index for Services 2023, Producer Price Index for Services 2021, Producer Price Index for Services 2020, Producer Price Index for Services 2019, Producer Price Index for Services 2018, Producer Price Index for Services 2017, Producer Price Index for Services 2016, Producer Price Index for Services 2015, Producer Price Index for Services 2014, The purpose of these statistics, is to analyze price trends in the first stage of commercial transaction of services, i.e. producers' selling prices to other producers (business to business), ex VAT. These statistics have been compiled since 2006., Statistical presentation, The , Producer Price Index for Services, is a quarterly measurement of service prices relating to the first commercial transaction (business to business), for the domestic market and export. The statistics contains a number of service price indices in different industries, e.g. price indices for transport services, consultancy services and cleaning services etc. , Read more about statistical presentation, Statistical processing, Approx. 2.300 prices are collected quarterly from selected companies in Denmark in order to calculate these indices. Prices are collected through an electronic questionnaire. The prices are automatically validated during the collecting process and changes that are greater than a predetermined threshold value, are checked manually by the staff. The Price indices are calculated in a hierarchical system, where the first calculation is made for the most detailed industries, i.e. elementary indices. These elementary indices are calculated based on a number of , basic prices, , as geometric Jevons Indices. The elementary indices are subsequently weighted together as aggregated price indices. These are calculated as arithmetic Laspeyres indices., Read more about statistical processing, Relevance, The , Producer Price Index for Services, serves as a deflator, key economic indicator and a contract regulation tool. The primary users of the statistics are the Danish National Accounts plus an array of public and private sector decision-makers. The statistics meet all the requirements of the EU in terms of industry coverage, aggregation level, frequency and publication date, etc., Read more about relevance, Accuracy and reliability, The prices covered by the data collection have a direct coverage of approximately 70 percent of total revenue within the selected services. The weight base also covers the main part of all trade in the first turnover, within the demarcation of the statistics, and there is constant monitoring of the quality of the sample. The sample is not extracted simply randomly, so no measure of sample error is able to be produced. , Only final figures are published. , In general, the producer price index for services is not assessed to have increased uncertainty as a result of Covid-19, as the data collection and thus the lapse has been largely unchanged as Follow of the crisis. But a single industry has been affected, which you can read more about less than "Non-sampling error"., Read more about accuracy and reliability, Timeliness and punctuality, These statistics are published quarterly, approx. 1,5 months after the end of the reference period, as far as possible on the 15th of the month or the first business day thereafter. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The , Producer Price Index for Services, can be found as a time series from 2006 to present. The statistic follows international standards and is therefore comparable with similar statistics from other European countries., Read more about comparability, Accessibility and clarity, These statistics can be found in the StatBank, under the subject , Producer Price Index for Services, . For further information, go to the , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Danish Foreign Affiliates

Contact info, Business Dynamics , Alina Grecu , +45 30 55 18 24 , AGC@dst.dk , Get documentation of statistics as pdf, Danish Foreign Affiliates 2023 , Previous versions, Danish Foreign Affiliates 2022, Danish Foreign Affiliates 2021, Danish Foreign Affiliates 2020, Danish Foreign Affiliates 2019, Danish Foreign Affiliates 2018, Danish Foreign Affiliates 2017, Danish Foreign Affiliates 2016, Danish Foreign Affiliates 2015, Danish Foreign Affiliates 2013, Danish Foreign Affiliates 2012, The purpose of the statistics Danish Foreign Affiliates is to shed light on the Danish companies activities abroad through its controlled affiliates. Hence the statistics contributes considerably to the description of globalization, which is increasingly important to the development of the Danish economy and society. The statistics are comparable from 2007 onwards., Statistical presentation, This statistic is a yearly statistic, covering foreign affiliates (outside of Denmark) owned or controlled by parent companies in Denmark. The statistic measures the number of foreign affiliates as well as the number of employees, with breakdowns by activity and country of location., Read more about statistical presentation, Statistical processing, Data is collected annually via questionnaire in a census survey of all companies in Denmark that own or control affiliates abroad. Data is validated, both during and after data collection, to ensure a high data quality of data for the statistic., Read more about statistical processing, Relevance, The primary users of the statistics are ministries and other public institutions, and international organizations such as OECD and the European Commission. In addition the users cover news media, various industrial organizations and others with interest in globalization and the involvement abroad by Danish companies., Surveys on the users level of satisfaction have not been carried out, but users of the statistics express that they are satisfied with the statistics and its value., Read more about relevance, Accuracy and reliability, The survey result is based on submission of data from all relevant Danish parent companies with foreign affiliates. Any sample techniques and/or active use of thresholds have not been implemented. Thus the number of parent companies in the survey is approx. 5.000 and the number of foreign affiliates is approx. 15.000., It is estimated that missing values/data submissions in the survey have a insignificant impact on the statistical value., Read more about accuracy and reliability, Timeliness and punctuality, Danish foreign affiliates statistics is published approx. 14 months after the end of the calendar-year. The statistical information is collected in between May and November. Danish foreign affiliates is made public without delay in accordance with the scheduled date., Read more about timeliness and punctuality, Comparability, This survey is also carried out in other European countries. Due to different approaches one cannot directly compare the results published in Denmark with the figures in Eurostat's database. The results published in Denmark cover all enterprises in Denmark that own/control foreign affiliates, regardless of ultimate controlling country. The figures in Eurostat solely cover enterprises that have the compiling country as ultimate controlling country., 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 , Danish Foreign Affiliates, . For further information, go to the , International enterprises, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/danish-foreign-affiliates

Documentation of statistics

Documentation of statistics: Accounts Statistics for Agriculture

Contact info, Food Industries, Business Statistics , Henrik Bolding Pedersen , +45 20 57 88 87 , HPE@dst.dk , Get documentation of statistics as pdf, Accounts Statistics for Agriculture 2024 , Previous versions, Accounts Statistics for Agriculture 2023, Accounts Statistics for Agriculture 2022, Accounts Statistics for Agriculture 2021, Accounts Statistics for Agriculture 2020, Accounts Statistics for Agriculture 2019, Accounts Statistics for Agriculture 2018, Accounts Statistics for Agriculture 2017, Accounts Statistics for Agriculture 2016, Accounts Statistics for Agriculture 2015, Accounts Statistics for Agriculture 2014, Accounts Statistics for Agriculture 2013, Accounts Statistics for Agriculture 2012, The purpose of the accounts statistics is to analyze the economics in agriculture including horticulture. Agriculture is divided into conventional and organic farms., In addition to this, accounts statistics also constitute a substantial input for compiling the national accounts and for EU's information network for Agricultural Book-Keeping, INLB. , The accounts statistics for agriculture, horticulture and organic farming have been calculated, respectively since 1916, 1980 and 1996. The present form of the statistics has been calculated since 2008., Statistical presentation, The statistics analyze the profit and loss accounts, balance and investments at the level of farms (enterprise level). The primary statistical data contain detailed accounts items, including items for turnover, purchases, costs, operating result of the year, assets, liabilities and investments. In addition to this, the personal finances of the households are analyzed, as information on income outside of agriculture, paid taxes and private consumption are available for some farms. The farms are broken down by full-time and part-time farms as well as types of farming., Read more about statistical presentation, Statistical processing, The data material is gathered from accounting offices organized in the Danish Agriculture and Food Council and private auditors by using electronic data collection and questionnaires. The data is classified by the economic size is made on the basis of the total standard output (SO) of each individual farm. The SO is calculated for all types of crops and species of livestock as an average of the actual outputs (correspond to the Gross Output) per hectare or per animal in a reference period of five years. Data is checked and validated and afterwards the sample are weighted to the population. , Read more about statistical processing, Relevance, These statistics are relevant to Ministries, researchers and agricultural organizations to measure the income of agricultural holdings. The collections of data also meets the Danish obligations towards the European Union's Farm Accountancy Data Network, FADN., Read more about relevance, Accuracy and reliability, The statistics are compiled on a sample population and consequently, the results are subject to some degree of uncertainty. The sample is stratified with the aim of being representative for all farms. From the population of small farms, where the variation is small, a relatively small sample is selected, while from the population of large farms a larger sample is used. Loss of sample farms are countered by higher selection rates in strata where losses do occur (based on experience)., Read more about accuracy and reliability, Timeliness and punctuality, The final statistics are published before 1st of October in the year after the accounting year while preliminary data for agriculture are published in the beginning of July., Read more about timeliness and punctuality, Comparability, The statistics are comparable back to 2008, where data have been calculated on the basis of Standard Output., The statistics are partly comparable with data from SEGES (Danish agricultural advisory service), which compiles economic key figures for different types of farming. A coordination of the concepts is conducted., Read more about comparability, Accessibility and clarity, The figures are published in , Nyt from Danmarks Statistik, . The statistics is published in StatBank Denmark under , Agricultural accounts statistics, . Furthermore the numbers are published in an annual publication, publication, on agricultural accounts statistics. More information is available on the statistics , subject page, ., Read more about accessibility and clarity

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

Documentation of statistics