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Ghana 2024-2026

Statistics Denmark is implementing the second phase of a Strategic Sector Program in Ghana financed by the Danish Ministry of Foreign Affairs. Our partner is the Ghana Statistical Services, which is the main producer of official statistics in Ghana., About Denmark’s Strategic Sector Cooperation,  (on the homepage of the Ministry of Foreign Affairs), Long-term ambitions, In the longer run, the second phase of collaboration between Statistics Denmark and Ghana Statistical Services aims to establish and secure the preconditions for a sustainable national statistical system based on digital collection, processing and dissemination of administrative and to a lesser degree survey data. The statistical products will then be able to support the decision making for the development of the Ghanaian society in general and the just green transition in particular., The second phase naturally builds on the results achieved in the first phase. During the first phase, opportunities of working with administrative microdata have been explored especially in relation to the new Ghana card (a personal identity card similar to the Danish Sygesikringsbevis) and pilots with the National Identification Authority, the Ministry of Education, and the Ghana Education Service have been commenced. In general, collaborations with the National Statistical System have been sought including a technical delegation to Denmark from the Birth and Death Registry. Another focus of phase I has been digitalization; A High level delegation from the Vice President of Ghana’s technical team to Denmark was conducted for a digitalisation fact finding mission; Following the 2021 Population and Housing Census, a Statsbank was c, ompleted and launched; and t, he Data Science Team and other relevant staff at GSS have increased their capacities in R. Finally, experts from Statistics Denmark have supported the completion of Green Goods & Services Questionnaire for Business survey. , T, he aim in phase II is to build on these results by continue exploring opportunities for administrative data, seeking collaboration and synergy with the rest of the National Statistical System, working for a digitalization agenda and finally supporting the production of environmental accounts and thus supporting the green transition in Ghana., You can read more about phase I and find videos about the project here, Strategic outcomes, The project has three strategic outcomes:, Improved statistical frameworks and systems supporting a just green transition in Ghana through strengthening of NSO capacities to work with adequately and appropriately disaggregated survey and administrative data for statistics, for digitalization processes and for communication., Ghana Statistical Services has strengthened its role as trusted data providers, their capacities to cooperate and access relevant sector data, and their provision of relevant and in-demand statistics to government, private institutions and the general public relevant to a just green transition., Accelerated required decisions on viable data-solutions for the data ecosystem including but not limited to those of relevance to a just green transition enabled by Ghana Statistical Services through exposition to Danish data-solution companies and the Danish Public Private Partnership data-ecosystem of statistics., Areas of collaboration, Improving Ghana Statistical Services and the rest of the National Statistical System’s capacities will be done by securing data flows, improving R and Python skills, digitalizing prioritized statistical processes, continued work on IT and data security issues, strengthening communication and dissemination skilss, and providing technical support to the further development of the implementation of The System of Environmental Economic Accounting (SEEA)., Besides, bilateral relations and green diplomacy in support of Ghana Statistical Services’ role in delivering statistics relevant to the green transition will be enhanced through high-level meetings, conferences and study visits., Below you can find videos about the project in Ghana:, Video on access to water - short version approx. 3 minutes, Video on access to water - approx. 6.30 minutes, Video on a hackaton in Ghana - approx. 5.30 minutes,  , Video on the Data Science Team - 3:30 minutes

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

Documentation of statistics: Housing Benefits (monthly

Contact info, Labour Market, Social Statistics , Morten Steenbjerg Kristensen , +45 20 40 38 73 , MRT@dst.dk , Get documentation of statistics as pdf, Housing Benefits (monthly 2024 Month 01 , Previous versions, Housing Benefits (monthly 2023 Month 03, Housing Benefits 2022 Month 02, Housing Benefits 2022 Month 01, Housing Benefits 2021 Month 12, Housing Benefits 2020 Month 12, Housing Benefits 2019 Month 12, Housing Benefits 2018, Housing Benefits 2017 Month 12, Housing Benefits 2016 Month 12, Housing Benefits 2015 Month 12, Housing Benefits 2014 Month 12, Housing Benefits 2013 Month 12, Housing benefit is a tax free subsidy granted to households with high housing expenses relative to the household income. The purpose of the statistics on housing benefit is to elucidate the number of beneficiaries of housing benefit and the amount received in benefit. The housing benefit statistics date back to 1967, but is in the current format comparable back to 2007., Statistical presentation, The statistics on housing benefits cover statistics on the number of all beneficiaries (i.e. households), and amounts granted on a monthly basis. Rent subsidies (for non-pensioners, as well as to early retirees, who have been assigned pension after January 1st 2003) and housing allowances (for retirees) depending on a number of variables (type of benefit, rent income and number of children)., Read more about statistical presentation, Statistical processing, Data for these statistics are collected monthly from Udbetaling Danmark via a system-to-system connection. Data are treated annually. Invalid data are excluded. Afterwards, the data is aggregated by the type of housing benefit, municipality and age., Read more about statistical processing, Relevance, These statistics are relevant for various Ministries, municipalities, researchers, and KL- Local Government Denmark and researchers. The statistics are used internally in Statistics Denmark, Municipal budgets and to assess the law on individual housing benefits., Read more about relevance, Accuracy and reliability, The statistics are based on administrative registers of housing benefits, but errors and duplicates may occur in the register. Invalid data and duplicates are removed (less than 0.01 pct.). The housing benefit amounts are overestimated compared to reality, since months with less than a full month's housing eligibility are included as a full month in the statistics. Only final figures are published., Read more about accuracy and reliability, Timeliness and punctuality, The statistics on housing benefits 2025 is published in March 2026., Read more about timeliness and punctuality, Comparability, Statistics on housing benefits in Denmark date back to 1967. The statistics are comparable since 1983 in its current format. The statistics are produced according to common European guidelines and are therefore comparable to statistics from other countries published in Eurostat., Read more about comparability, Accessibility and clarity, These statistics are published yearly in , Nyt fra Danmarks Statistik, . Simultaneously, the statistics are published online at http://www.Statbank.dk under the subject , Adults receiving social benefits, ., Read more about accessibility and clarity

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

Documentation of statistics

Profile on employees

Do you want a statistical overview of your employees or members in your organisation? Then we can produce a statistical profile of your employees which contains statistics on, for example, the employees' gender, descent and educational background, Submit your own subgroups, You can break up your employees in subgroups e.g. into job categories, departments or management level. Then we will deliver statistics on these groups. There must be no duplicates – i.e. the same person may not be part of two or more groups at the same time., The tables, There are a total of 6 tables, which contain the following cross tabulations:, Table 1: Staff group x origin, Table 2: Staff group x age, Table 3: Staff group x gender x origin, Table 4: Staff group x region, Table 5: Origin x education, Table 6: Origin x country of origin, Only Tables 1-4 can be delivered on selfdefined subgroups of staff. If you do not want to divide your employees or members into groups, then the tables only contain statistics for the total number of employees. You can see examples of the specific tables by clicking on the link below. Here you can also find a description of the content of the delivery., Price, The price is , DKK 14.232 excl. VAT (DKK 17.790 incl. VAT),, however, the price can increase slightly if you want to get data on your own sub groups of staff. , Therefore you might have to pay for a few hours on top of the above mentioned price., Delivery, In order to prepare the tables, we need the civil registration numbers, (CPR numbers) of the employees or members sent to us. There must be at least 20 people in the company or association in order for us to provide statistics. If you divide staff into smaller groups, the risk of statistical disclosure increases. If, for example, you want to divide into two staff groups, there must be a minimum of 20 people in each group otherwise they will be disclosed. Fewer groups will normally result in more information about staff or members. You can find a template for how to report the CPR numbers below., We usually deliver within two weeks after we have received your order and we have received the CPR numbers. You will receive the tables in Excel sheets by e-mail., Indberetningsskabelon, Important!, Do not send any CPR numbers to Statistics Denmark before you have been told how to do it. Once we have received a division of the employees or members with their CPR numbers, we check them up against the register and send a control table back to you, where the number of valid CPR numbers appears and possibly also the number of duplicates., Order, Click on "Order" below and fill in the order form., ORDER, When you order, you also accept , Statistics Denmark's general terms and conditions., Contact, DST Consulting, tel: +45 3917 3600, Bodil Birkebæk Olesen, tel: +45 3917 3746, Tailor-made statistics, If you need to combine the tables with other variables or have them combined in a different way than in our standard tables, please send an e-mail to our consultants in Customer Centre. , Read more about  , tailor-made solutions, Other relevant products, Key figures on Postcodes, Key figures on Parishes

https://www.dst.dk/en/TilSalg/produkter/noegletal/medarbejderprofil

Documentation of statistics: Industry investment survey (Discontinued)

Contact info, Short Term Statistics , Bo Eriksen , +45 61 50 41 27 , BHE@dst.dk , Get documentation of statistics as pdf, Industry Investment Survey 2021 Month 04 , Previous versions, Industry Investment Survey 2020 Month 04, Industry Investment Survey 2018 Month 11, Industry Investment Survey 2018 Month 03, Industry Investment Survey 2017 Month 11, Industry Investment Survey 2017 Month 04, Industry Investment Survey 2016 Month 11, Industry Investment Survey 2016 Month 04, Industry Investment Survey 2015 Month 03, Industry Investment Survey 2015, Industry Investment Survey 2014 Month 03, The purpose of Investment Survey in Manufacturing industries is to provide an estimate of the expected future investments in manufacturing industries. The survey can be characterized as a tendency survey since the managements in the participating enterprises are asked to give an estimate on the annual investments in current prices. The survey has been carried through since 1982 according to demands from the EC., From 2021, the statistics have been entered under , Investment survey for manufacturing industry, and the content of this documentation deals with the archived statistical bank tables ., Statistical presentation, The investment survey in manufacturing industries is a tendency survey in which the expectations regarding the annual change in industrial investments are summarized twice a year (March and October). The survey gives information on expected investments in the current year and the forthcoming year and the results are presented as percentage changes., Read more about statistical presentation, Statistical processing, Not relevant for these statistics., Read more about statistical processing, Relevance, Users of the statistics are trade organizations, banks, politicians, public authorities, international organizations, business enterprises and the news media. The confidence indicators provides valuable information about the state of the business economy and are reflected upon every month in financial related news medias. There has been no survey if the statistics meets the needs of clients., Read more about relevance, Accuracy and reliability, No overall accuracy has been calculated. Is has been observed a tendency that 2nd and 3rd measurement of a survey-year shows higher growth rates as compared to 1st and 4th measurement. The reason for this seems to be measurement errors., Read more about accuracy and reliability, Timeliness and punctuality, The half-yearly survey is launched by means of questionnaires about 20 days before the survey month beginning. Deadline for responses is about the 12th in the survey month. Two weeks after, about the 26th, a reminder is send to the remaining admitting a new deadline about the 4th the month after the reference month. About the 15th the statistics is enumerated. About the 22nd results are published and send to the EU-partner DG ECFIN. The process runs punctual., Read more about timeliness and punctuality, Comparability, The statistics is carried out in collaboration with the EU-commission since 1982. Please refer to , (DG ECFIN), ., Read more about comparability, Accessibility and clarity, Results of the surveys are published monthly at , Statistics Denmark, ., Key indicators are published in the newsletter edition , Nyt fra Danmarks Statistik, Industriens investeringsforventninger, and in English at the homepage , Short term trends, . , Detailed data is available in English version at , Statbank, ; choose English language and look for the tables INVEST1 & INVEST2., Read , here, about the statistics., Also, data are published at the homepage of the EU-commission partner , Directorate Generale Economic and Financial affairs (DG ECFIN), along with similar data from other EU countries., Scientists and analysts have the option to buy detailed micro-data through the , Division of Research Services, , Statistics Denmark. In this case data will anonymized in order to ensure enterprises confidentiality., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/industry-investment-survey--discontinued-

Documentation of statistics

Documentation of statistics: Economic Accounts for Agriculture (Discontinued)

Contact info, Food Industries , Simone Thun , +45 51 36 92 51 , SIT@dst.dk , Get documentation of statistics as pdf, Economic Accounts for Agriculture 2023 , Previous versions, Economic Accounts for Agriculture 2022, Economic Accounts for Agriculture 2021, Economic Accounts for Agriculture 2019, Economic Accounts for Agriculture 2018, Economic Accounts for Agriculture 2017, Economic Accounts for Agriculture 2016, Economic Accounts for Agriculture 2013, The Economic Accounts for Agriculture (EAA) illustrates the development in the economy in the agricultural sector and serves as input to the National Accounts. Economic Accounts for Agriculture exist back to 1935, but the statistics are in their present form comparable from 1990 onwards., Statistical presentation, The Economic Accounts for Agriculture (EAA) are an annual statement of the agricultural business results, including crop and animal sales products, intermediate consumption, grants and taxes. The Economic Accounts for Agriculture show the results before depreciation, interest and remuneration of labor. The statistics are calculated in million Danish kroner and as price and volume indices. It is broken down by type and geographical by region., Read more about statistical presentation, Statistical processing, The Economic Accounts for Agriculture are calculated annually based on data from many different statistics, mainly from the agricultural statistics. The values of the different products are calculated using prices and quantities. Data is validated when the primary statistics are calculated but it is also validated when used in the calculation of the Economic Accounts for Agriculture. , Read more about statistical processing, Relevance, The Economic Accounts for Agriculture is relevant for the Danish authorities especially the Ministry of Environment and Food of Denmark, EU and the agricultural organizations, so they can follow the development in the economic activities in the agricultural sector. It is also an input to the National Accounts. , Read more about relevance, Accuracy and reliability, As the statistics are compiled on the basis of a wide range of agricultural statistics, a significant number of sources of statistical errors are present. Problems with providing fully representative reference periods can give uncertainty whereas information from dairies and slaughterhouses is exact. For the preliminary results some estimates and assumptions are used until the primary data are finalized which is the reason why the Economic Accounts for Agriculture are finalized two years after the first time published. The reliability f the statistics is good. The margins of statistical error are not calculated., Read more about accuracy and reliability, Timeliness and punctuality, The preliminary statistics are published at the latest 6 months after the end of the reference period. Revised figures, but still preliminary, are published 10 months after the reference period. The final figures are published 2 years and 6 month after the reference period. , Read more about timeliness and punctuality, Comparability, The Economic Accounts for Agriculture is comparable in its current form back to 1990. It can be compared to the Economic Accounts for Agriculture produced by Eurostat. There are some few differences between the Danish and European version. It is also in some way comparable to the economic accounts for agriculture which is calculated on farm level., Read more about comparability, Accessibility and clarity, The statistics are published in , News from Statistics Denmark, . The StatBank Denmark publishes the gross factor income of agriculture under the subject , Agricultural Economics, . In addition, the figures are included in , Statistical Yearbook and Statistical Ten Years Summary, . See more on the subject , Agricultural Economics, ., Read more about accessibility and clarity

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

Documentation of statistics

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

Contact info, Government Finances, Economic Statistics , Jesper Lillebro Feddersen , +45 20 51 61 92 , JEF@dst.dk , Get documentation of statistics as pdf, Government deficit and debt in the EU-countries 2024 , Previous versions, Government deficit and debt in the EU-countries 2023, Government deficit and debt in the EU-countries 2022, Government deficit and debt in the EU-countries 2021, Government deficit and debt in the EU-countries 2020, Government deficit and debt in the EU-countries 2019, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2018, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2017, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2016, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2015, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2014, EMU-Deficit and EMU-Debt in Denmark and Government Deficit and Debt in the EU 2013, EMU-debt and EMU-deficit (Government deficit and debt) is the statistical data required for the excessive deficit procedure (EDP) in the Economic and Monetary Union in according to the Maastricht Treaty and Stability- and Growth Pact. The EU-Commission uses the statistics to monitor and examine the development of the budgetary situation and government debt in Denmark in accordance with the Maastricht Treaty convergence criteria. The Compilations are based on the European System of Accounts (ESA2010). However, on some points they differ from ESA2010, e.g. on the valuation of debt, which is at nominal value., Statistical presentation, The compilation of consolidated gross debt at nominal value for general government is sometimes referred to as EMU-debt/government debt. The deficit is sometimes referred to as the EMU-deficit/government deficit. Government deficit and debt in EU was first published in spring 2003. Covering data on ESA2010 back from 2010, at the moment. Danish Government deficit and debt was first published in fall 2004. Covering data on ESA2010 back from 2000., Read more about statistical presentation, Statistical processing, Main sources are balance sheets and income statements from the central government, regions and municipalities and and social security funds. Frequency of data collection is Semi-annual and quarterly. Because of the number of consistency checks and data confrontations facilitated by the system of accounts. Further more Eurostat/EU-commission assess the quality of EDP-data by a detailed inventory, a clarificationproces after the notifications and by standard dialogue and upstream visits every second year., Read more about statistical processing, Relevance, High., Read more about relevance, Accuracy and reliability, The government deficit and debt is based on accounts figures for the whole general government sector that have a very limited degree of inaccuracy. , The statistical uncertainty is not calculated. , The overall accuracy is considered to be relatively high., Read more about accuracy and reliability, Timeliness and punctuality, Debt: End of the quarter and end of the year., Deficit: Current year., The statistics are usually published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, Government EMU-debt is to a certain degree comparable with quarterly financial accounts for general government since both statistics are based on the sectors and instruments defined in ESA2010. The primary differences are: Government EMU-debt is based on nominal values, while quarterly financial accounts for General Government are based on market values., In a similar way, Government Deficit is comparable with the national accounts compilations of net-lending for General Government in the so called March- and June-versions., Read more about comparability, Accessibility and clarity, These statistics are published in a Danish press release and in the StatBank under , EMU debt and EMU balance, ., Read more about accessibility and clarity

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

Documentation of statistics

Documentation of statistics: Book sales

Contact info, Science, Technology and Culture, Business Statistics , Christian Törnfelt , +45 21 63 60 20 , cht@dst.dk , Get documentation of statistics as pdf, Book sales 2024 , Previous versions, Book sales 2023, Documents associated with the documentation, Genreopdeling ved hjælp af Themakoder (pdf) (in Danish only), The purpose of the statistics Book sales is to shed light on the development of book sales in Denmark. The statistics illustrate the trends in the number of copies sold through physical bookstores and online sales channels. The statistics are new as of 2024 and include data from the third quarter of 2022 onwards., Statistical presentation, Book sales is a quarterly compilation of the number of physical books, e-books and audiobooks sold through physical bookstores (including the largest supermarket chains) and online sales channels. Sales of used books (e.g. from second-hand bookstores, thrift stores, and flea markets) are not included. The statistics are categorized by genre, format/media, publication language, original language and binding type. The data is published in the newsletter Nyt fra Danmarks Statistik (in Danish only) and in Statbank Denmark. Data sources and coverage are still under development, and the figures are therefore preliminary. Future revisions may occur., Read more about statistical presentation, Statistical processing, Data for this statistics is collected through monthly transfers of transaction data on book sales units from SAXO.com A/S, Indeks Retail (Bog & Idé), Gucca and the major supermarket chains (COOP, Salling and Dagrofa)., The transaction data is enriched with information from DBK, which manages the Bogportalen and Publizon, allowing the books to be classified by genre, format/media, publication language, original language and binding type. If this information is missing for certain editions, efforts are made to manually complete it using various assumptions., Read more about statistical processing, Relevance, The key users are stakeholders in the book industry, the Ministry of Culture and other interested parties. The statistics are used for analyses in the literature sector., Read more about relevance, Accuracy and reliability, The statistics cover the majority of book sales in Denmark, purchased new. The metadata coverage is considered satisfactory for Danish publications, although coverage is lower for foreign publications. Coverage is also lower for books/book products where the primary purpose is not reading, such as coloring books, board books, activity books, calligraphy books, books with music notation, songbooks, and puzzle books like Sudoku. ISBN errors may occur, but they are not deemed to be a widespread issue., The figures are preliminary, and future revisions may occur as book sales data expands and metadata quality improves., Read more about accuracy and reliability, Timeliness and punctuality, The figures are provisional, and future revisions may occur. The publication of the statistics takes place at the end of November. Since the statistics are new, the punctuality of the statistics cannot yet be described., Read more about timeliness and punctuality, Comparability, The statistics are not directly comparable to other published book sales statistics. There are no international guidelines for the production of book sales statistics., Read more about comparability, Accessibility and clarity, These statistics are published yearly in the newsletter Nyt fra Danmarks Statistik (in Danish only) at the same time as the tables are updated in the StatBank. In the StatBank, these statistics can be found under the subject , Literature, ., Read more about accessibility and clarity

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

Documentation of statistics

Classification of education (DISCED-15), completed educations, v1:2020

Please note, a more current version of this classification is now available. See the current version , here., Name: , DISCED15_AUDD_HOVED_V1_2020 , Description: , DISCED-15 is Statistics Denmark's classification system for education., DISCED-15 acts as a classification system across statistics-producing authorities within the education sector in Denmark. At the same time it ensures a clear connection to the international classification system , International Standard Classification of Education (ISCED), ., All educations in DISCED-15 have a four-digit code, e.g. , 4280: Electrician, , which is aggregated in four different ways. The classification system thus organises education and training programs in the following four dimensions:, Main area, Classification of educational programs which follow the structure of the Danish education system, as regulated by law for higher education and for the admission to vocational education., Types of education, Classification of education programs by type, which makes it possible to differentiate the educations in the Danish education system by type of education, regardless of the level of the educations, fields of education or main area., Levels of education, Classification of education programs in the Danish education system by levels, which are consistent with the international education classification ISCED-P (levels of education)., Fields of education, Classification of educational programs by fields, regardless of the levels of the educations. The basic principle in the construction of the fields of education follows the idea of ​​which employment function or industry the education is oriented towards with a view to later employment. Classification by fields of education ensures complete comparability between the Danish education classification and the international education classification ISCED-F (fields of education and training)., Valid from: , February 1, 2020 , Valid to: , January 31, 2021 , Office: , Population and Education , Contact: , NHD , Codes and categories, Codes and categories are only available in Danish , All versions, Name, Valid from, Valid to, Classification of education (DISCED-15), completed educations, v1:2026, February 1, 2026, Still valid, Classification of education (DISCED-15), completed educations, v1:2025, February 1, 2025, January 31, 2026, Classification of education (DISCED-15), completed educations, v1:2024, February 1, 2024, January 31, 2025, Classification of education (DISCED-15), completed educations, v1:2023, February 1, 2023, January 31, 2024, Classification of education (DISCED-15), completed educations, v1:2022, February 1, 2022, January 31, 2023, Classification of education (DISCED-15), completed educations, v1:2021, February 1, 2021, January 31, 2022, Classification of education (DISCED-15), completed educations, v1:2020, February 1, 2020, January 31, 2021, Classification of education (DISCED-15), completed educations, v1:2019, February 1, 2019, January 31, 2020, Classification on education (DISCED-15), completed educations, v1:2018, February 1, 2018, January 31, 2019, Classification on education (DISCED-15), completed educations, v1:2017, February 1, 2017, January 31, 2018

https://www.dst.dk/en/Statistik/dokumentation/nomenklaturer/disced15-audd?id=bc145b5a-c843-473c-ada8-fee6be0fa77a

Documentation of statistics: Enterprise Groups in Denmark

Contact info, Business Dynamics, Business Statistics , Julie Cathrine Krabek Sørensen , +45 23 66 46 60 , JCK@dst.dk , Get documentation of statistics as pdf, Enterprise Groups in Denmark 2023 , Previous versions, Enterprise Groups in Denmark 2022, Enterprise Groups in Denmark 2021, Enterprise Groups in Denmark 2020, Enterprise Groups in Denmark 2019, Enterprise Groups in Denmark 2018, Enterprise Groups in Denmark 2017, Enterprise Groups in Denmark 2016, Enterprise Groups in Denmark 2015, Enterprise Groups in Denmark 2014, Enterprise Groups in Denmark 2012, The purpose of the statistic Enterprise groups in Denmark is to describe enterprise group relations amongst Danish companies. Thus the statistic contributes to the description of the business structure in Denmark. The statistic was complied for the first time for the reference year 2009. , Statistical presentation, The statistic is a yearly compilation, which emphasizes the extent of both the number of enterprise groups and the number of full time equivalent employees herein. , The statistical unit is therefore the "Enterprise Group". An enterprise group, in these statistics, is regarded to be two or more companies located in Denmark and at the same time have a mutual ownership. A mutual ownership is regarded to be present if one Danish company owns and/or controls more than 50 per cent of another Danish company., Read more about statistical presentation, Statistical processing, The statistic is based on the Business Statistics Enterprise Group Register. Enterprise group relations are confirmed via the annual reports of the enterprises and by looking up in the Central Business Register., Read more about statistical processing, Relevance, The primary users of the statistic are various industrial organizations, politicians, researchers and the news media. As part of the establishment of the Business Statistics Data Warehouse, the statistical content and the framework for the enterprise groups statistics have been presented to the project's external research follow-up group., Read more about relevance, Accuracy and reliability, Generally the statistics is considered to be of high quality, since the central variable on number of enterprises are based on the administrative registrations, which are deemed to be reliable to a high extent. , Read more about accuracy and reliability, Timeliness and punctuality, Enterprise groups in Denmark are disseminated 18-24 months after the end of the reference year. The statistic is normally published without delay to the announced time. , Read more about timeliness and punctuality, Comparability, This statistic is only carried out in Denmark. Since 2022, the enterprises in Enterprise groups in Denmark has been based on the new activity threshold, which includes economically active enterprises. For the same year, the statistic has been expanded to include sector A: Agriculture, forestry and fishing. It is therefore not directly comparable to the previous time series covering 2009-2021., Read more about comparability, Accessibility and clarity, The results are available in Statbank Denmark. See also , Enterprise groups, ., It is possible to buy tailor-made tables, and researchers can obtain access to the micro-data upon request. , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/enterprise-groups-in-denmark

Documentation of statistics

Documentation of statistics: Personal income taxes

Contact info, Government Finances, Economic Statistics , Ida Balle Rohde , +45 61 24 24 85 , ILR@dst.dk , Get documentation of statistics as pdf, Personal income taxes 2024 , Previous versions, Personal income taxes 2023, Personal income taxes 2022, Personal income taxes 2021, Personal Income Taxation 2020, Personal Income Taxation 2019, Personal Income Taxation 2014, Personal Income Taxation 2013, The purpose of the statistics Personal income taxation is to give information about tax bases, tax calculations and the various tax concepts, and also give a description of provisional and final tax. The statistics cover income taxes from 1994 and is published yearly in November. The statistics were first published in 1903, but in its current form the statistics cover every year from 1994 onwards., Statistical presentation, The statistics is a yearly account of personal income- and wealth taxes, as they are in the final assessment. The statistics give information about tax bases, tax calculations and the various tax concepts., Read more about statistical presentation, Statistical processing, Data is extracted annually from the Danish Tax Agency. Not all taxable persons are included in the data extract, so income tax is calculated for the missing persons, so that it is possible to describe the development for all taxable persons in Denmark. The validation takes place by comparing the level of total income 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 is in demand from ministries, politicians, public and private institutions, researchers, enterprises and news media. The statistics often get a lot of attention in the media and amongst other professional users., Read more about relevance, Accuracy and reliability, In the first dissemination of the statistics, some information for some taxpayers is missing. The tax payments of these persons are therefore calculated to give an overall picture of the development in income taxes for persons. Also in the final version of the statistics, some taxpayers' information is missing, the statistics therefore contain calculated figures. In the preliminary versions of the statistics some tax types are corrected for biases, as these tax types are potentially underestimated in relation to the final value., Read more about accuracy and reliability, Timeliness and punctuality, The Statistics are published yearly in November. The first version of the preliminary income taxes is published in November after the end of the income year. The final income taxes are published in November, two years after the end of the income year in question. Publications are released on time, as stated in the release calendar. , Read more about timeliness and punctuality, Comparability, The statistic were first introduced in 1903. The tax reform in 1987 changed both income and deduction concepts. From 1987, the numbers were split into personal income, capital income, and deductions instead of gross income and deductions. The taxation structure differs greatly across countries, which makes international comparison difficult. , Read more about comparability, Accessibility and clarity, These statistics are published annually in a Danish press release. In the StatBank the figures are published under , Personal income taxes, . , Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/personal-income-taxes

Documentation of statistics