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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

Launching a statistical databank is not an everyday event

Ghana Statistical Service (GSS) has launched their PX-web based databank called StatsBank Ghana, 1 September 2023 13:00 ,  , Ghana Statistical Service (GSS) launched their PX-web based databank before the summer vacation in a low-key way. Since then significant amounts of data have been added. To celebrate this and to launch the StatsBank Ghana to academia GSS arranged a High-level Academic Event and a “Hackathon” together with the University of Ghana and the Regional Institute for Population Studies., Over two days teams of students worked extremely concentrated to turn data from the GSS StatsBank into new knowledge. Knowledge and information helping to explain daily life in Ghana.  Over the coming months GSS will arrange similar “Hackathons” with other universities. The best teams will then meet later in the year and compete again., The StatsBank Ghana mainly contains data from the 2021 housing and population census but also economic data on subjects like trade and inflations. , The purpose of the “hackathon” is not for students to compete, but mainly to demonstrate to academia and policy planners how the data can be turned into new knowledge by everyone with an internet connection. Secondly, it helps demonstrate the immense value to society of making data freely available in a machine-readable form. , Although statistical databases may sound both abstract and boring they greatly facilitate informed decision-making among politicians and planners and they help citizens understand the world they live in., The University of Ghana Hackathon was won by team “Beta” who created a dashboard on youth unemployment in relation to the UN Sustainable Development Goal #8 - Decent work and economic growth. , Read more about the Hackathon and team Beta at , https://www.graphic.com.gh/tech-news/team-beta-triumphs-in-36hour-hackathon-by-ghana-statistical-service-and-statistics-denmark.html, You can try out the StatsBank Ghana at , https://statsbank.statsghana.gov.gh/pxweb/en/, Building on the StatsBank API GSS has launched a Digital Census Atlas. API meaning Applied Programming Interface, which makes it possible to access, process and display data i.e. from the StatsBank Ghana in various ways. The atlas shows indicators related to the 2021 Census on a scalable map. Each thematic map allows the users to extract the data from the StatsBank for further analysis., Access to the Census Atlas: , https://phc-geospatial-results.netlify.app/, The GSS StatsBank is build on the open source tool – PX-Web. Launching the StatsBank was an important milestone in the phase I of the Strategic Sector Cooperation between The Danish Embassy, Statistics Denmark and the Ghana Statistical Service. The Strategic Sector Cooperation projects are financed by the Danish Ministry of Foreign Affairs., For further information about the project get in touch with Project Manager Jesper Ellemose Jensen (, jej@dst.dk, ) or the international consulting unit of Statistics Denmark.

https://www.dst.dk/en/consulting/news-from-international-consulting/2023/01-09-2023-Launching-a-statistical-databank-is-not-an-everyday-event

Calling African Statistical Institutes

The European Pan African statistics 2 programme is inviting African NSIs to join the presentation on Monday 14th March 2022., 8 March 2022 13:00 ,  ,  , In 2022, Eurostat launched a programme called Pan African Statistics 2 (PAS2) to support the African Union and its members’ statistical systems. This programme, which is a continuation of the PAS1 programme, is structured around several projects among which the following three will be presented during the side event: two grants coordinated by EU National Statistical Institutes (Insee-France and Statistics Denmark) and one service contract managed by Expertise France (the French agency for international technical cooperation). Together, the three projects will cover a range of statistical domains, with one grant focusing on economic statistics (ECOnomic and BUSiness statistics in AFrica- ECOBUSAF), one grant focusing on social statistics (SOCial STatistics in Africa - SOCSTAF), and the service contract covering both social and economic statistics. The purpose of this side event is to introduce the PAS2 programme to the African NSIs, to provide information about its objectives and content, and inform about the opportunity to participate., While the PAS2 service contract project has mostly a regional approach, ECOBUSAF and SOCSTAF more specifically target individual NSIs. The latter two projects aim at supporting African countries in building their capacities in various statistical domains (National accounts, business registers, demographic, health, education and employment statistics) and in going down the path of statistical integration at the AU level in some statistical domains. New data sources will be investigated together with how to treat them. Various operating modes will be carried out on-line or face-to-face, including technical assistance to specific countries, on-line training courses, workshops and a hackathon. The programmes will coordinate with each other and with other stakeholders in the region and create synergies with other programmes. , The participants will have the opportunity to ask questions and to informally show their interest in participating in the project. ,  , Register for the event,  here, Program:, Pan African Statistics 2, – , a European programme to support better data for better lives in Africa, A Side Event at the United Nations Statistical Commission, Organised by: Eurostat, African Union, INSEE, Statistics Denmark, Statistics Norway and, Expertise France. , The event will be co-chaired by Eurostat and STATAFRIC., Held in English with French interpretation, Thursday 14 march 2022, 9.00-10.30 am (New York) - 3.00-4.30 pm (CET), Time, Agenda point, Comments/speakers, 20 min, Introduction by the co-chairs, overview of the PAS2 programme, by M. Lukasz Augustyniak, Eurostat and , Ms. Leila Ben Ali, STATAFRIC, 20 min, General organisation of the ECOBUSAF and SOCSTAF grants and presentation of the ECOBUSAF national account component, by  Ms. Dominique Francoz, Insee, 10 min, Presentation of the ECOBUSAF statistical business registers component , by Ms. Janne Utkilen, Statistics Norway,   , 10 min, Presentation of the SOCSTAF project, by Ms. Nina von Lachmann-Steensen, Statistics Denmark, 10 min, PAS 2 service contract presentation, by M. Samson Bel-Aube Nougbodohoue, STATAFRIC and M. Guillaume Poirel, Expertise France, 20 min, Q&A session , Register for the event,  here, The PAS programme is funded by the European Union

https://www.dst.dk/en/consulting/news-from-international-consulting/2022/08-03-2022-calling-african-statistical-institutes

Source references and use of our logo

You are free to re-use and reproduce contents from dst.dk and statbank.dk. This includes even commercial use. You should, however, always include a source accreditation to Statistics Denmark. You are, however, not allowed to use our logo., Source references, The source reference should link to the StatBank or www.dst.dk, where the user can see the data in context., Examples of correct source reference:, Dst.dk:, Source: Statistics Denmark - https://www.dst.dk/en/Statistik/emner/oekonomi/offentlig-oekonomi/sociale-udgifter, StatBank.dk:, Source: Statistics Denmark – StatBank.dk/folk1a (the code following StatBank.dk/ indicates the specific table from which the figures are extracted.), You are welcome to reproduce our graphic figures or make your own graphic figures on the basis of our data. Statistics Denmark must also in this context be cited as source., If you subject our data to further processing; this must be clearly stated. This can be done, e.g. by writing: ”Source” Own calculations based on data from Statistics Denmark.", Copying and use of content, The content on dst.dk and statistikbanken.dk can be freely copied and used - except for photos. An agreement with Statistics Denmark is required here - contact , presse@dst.dk, ., Press photos of Statistics Denmark's executive board may, however, be reproduced freely., Videos can only be reused in their unaltered form., Use of Statistics Denmark's logo, Statistics Denmark's logo may only be used by others than Statistics Denmark when it comes to collaborative projects such as publications where the use of the logo has been agreed., Open data,  Statistics Denmark's open data are official statistics data, which are electronically available in a way that users can apply them directly in various applications. They can be accessed either via a user interface or via an , API , against the StatBank. Data can be freely used in the development of various services, including development of apps for smartphones., All statistics on Statistikbanken.dk and the website dst.dk can be used free of charge commercially as well as non-commercially. It is, however, required to indicate the source. This corresponds to the license known as , Creative Commons, CC 4.0 BY, An overview of Statistics Denmark's open data is available at , Statbank.dk, that contains data from all statistics areas produced by Statistics Denmark. Data can be downloaded as tables, graphics, on map and in a variety of data formats or as bulk download - depending on whether the user interface or the API is used. The StatBank contains always the latest updated data. , Responsibility, Statistics Denmark shall not be financially responsible for any direct or indirect damage or loss incurred by the user, including lost profits by the user or for damage or loss incurred by any joint contractors of the user as a consequence of errors in the statistics or errors that have occurred in connection with processing of the statistics., Statistics Denmark shows links to external sources as a service. The use of these links does not imply any recommendation or support of views put forward on the websites in question., Statistics Denmark does not check the contents and availability of external websites, and we hereby disclaim any responsibility for these.,  

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Dissemination policy

Statistics Denmark must produce all official statistics on social and economic trends in Danish society. To achieve this objective Statistics Denmark complies with the international principles governing trustworthy official statistics, which are adopted by the European Union and the United Nations. , Against this background, the dissemination policy of Statistics Denmark is based on the principles governing: Independence, accessibility, trustworthiness and reliability – and with the objective of creating, to the greatest possible extent, coherence and relevance for the users. The news media is a target group of special priority with regard to dissemination. , Independence, Statistics must be impartial. Figures, analyses and explanatory text are prepared on an objective basis and independent of political and economic interests. , This is ensured by, the independent status of Statistics Denmark falling under the Ministry for Digital Government and Gender Equality.  ,  , Statistics must be compiled on a scientific basis, i.e. professional considerations determine the choice of methods applied for data collection, processing, storing and dissemination. , Statistical release dates are pre-announced in the scheduled release calendar on Statistics Denmark’s website. This is instrumental in ensuring that there is no political influence on the time for publishing statistical results. , Accessibility, All published statistics are readily available from Statistics Denmark’s website and the database Statbank Denmark (statistikbanken.dk). Some publications are also released on paper subject to a charge. The statistics can be freely used and quoted, provided that Statistics is stated as source. , Statistics must be published without any delay and when they are finally compiled. The statistical results must be available to all users at the same time. The statistics are published at 8 a.m. on the day of release. , All statistics are provided with access to documentation of methods, quality and concepts in the form of quality declarations., Trustworthiness, The picture provided by the statistics with regard to social and economic trends must be trustworthy and reliable. When errors are detected in the statistics published, the corrections are published as quickly as possible. Information about errors is announced on Statistics Denmark’s website, and the corrections are also made available from our website., As soon as Statistics Denmark becomes aware of erroneous or misconstrued interpretation of our figures by the news media, we respond by contacting the news media and offer assistance in correcting any errors. Grave misinterpretations can by corrected by means of a discussion paper prepared by Statistics Denmark., Confidentiality, In publishing statistics it is ensured that the statistical information cannot be referred to any identifiable businesses or persons. , Statistics Denmark grants access to micro data for purposes of authorized research and analyses, i.e. data at the levels of persons and business enterprises. It is impossible to identify individuals or businesses from the micro data made available. , Coherence, A variety of different dissemination channels for publishing statistics are applied by Statistics Denmark: Newsletters, publications, Statbank Denmark, subject pages, social media, etc. To ensure coherence across the dissemination channels, a subject structure is applied, making it possible to link from the general content to the more detailed tables and documentation and further on to related statistics of a subject. , Relevance, To ensure that statistics are disseminated in a way corresponding to the requirements of the users, current user satisfaction surveys are conducted. The requests of the users are also incorporated, through user committees and focus group interviews.

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Documentation of statistics: Deaths and life expectancy (Discontinued)

Contact info, Population and Education , Get documentation of statistics as pdf, Deaths and life expectancy 2016 , Previous versions, Deaths and life expectancy 2015, Deaths and life expectancy 2013, These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people, who have died abroad., The statistics of the dead include in the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the expected average life expectancy of a newborn, based on mortality for the last two or five years period, e.g. 2016-2017., Statistical presentation, These statistics contains information on number of deaths by sex, age and municipality of residence., These statistics cover all deaths among people with usual residence in Denmark regardless of whether the death occurs in Denmark or abroad., Information about cause of death is not available for those people who have died abroad., Read more about statistical presentation, Statistical processing, Daily deliveries from the Central Population Register (CPR) and yearly delivery from Statens Serum Institut (SSI) are basis for the statistics., Data is not checked for errors., Read more about statistical processing, Relevance, Municipalities, regions, ministries, the media and private individuals are using the statistics for public and private purposes and as input to the public debate., Read more about relevance, Accuracy and reliability, The statistics are based on the Central Population Register (CPR). The quality of the data is very high., For approximately 5 per cent of the deaths the cause of death is missing. These people have often died abroad., The statistics of death include the annual calculation of average life expectancy, compiled by Statistics Denmark. The average life expectancy indicates the average number of years a newborn is expected to live on the condition that current age-related death rates remain constant in the future. Life expectancy should therefore only be seen as an indicator of the current mortality of the population - not a prediction of how long newborns will live in practice because age-specific mortality generally decreases over time. The average life expectancy by municipality may however be subject to uncertainty - especially for the small municipalities., Read more about accuracy and reliability, Timeliness and punctuality, The statistics concerning deaths is published app. 45 days after the end of the year., Information concerning the causes of deaths however are quite delayed and are disseminated irregularly., Read more about timeliness and punctuality, Comparability, The statistics is comparable over time., The codes for causes of death have been altered. Until 1993 ICD8 (International Classification of Causes of Death 8th Rev) have been applied. This implies that causes of death before and after 1994 can’t necessarily be compared. However, there have been produced comparable statistics at certain levels., Read more about comparability, Accessibility and clarity, News from Statistics Denmark, and the Statbank., Yearly publications: , Vital statistics, , , Statistical Yearbook, and , Statistical ten-year review, ., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/deaths-and-life-expectancy--discontinued-

Documentation of statistics

Documentation of statistics: Health of vulnerable groups (Discontinued)

Contact info, Personal Finances and Welfare , Anne-Sofie Dam Bjørkman , +45 20 37 54 60 , ASD@dst.dk , Get documentation of statistics as pdf, Health of vulnerable groups 2017 , Previous versions, This set of statistics documents the use of health services by vulnerable groups compared to that of the rest of the population within the same age group. The statistics are used to find out whether selected vulnerable groups have a different consumption of health services than the rest of the population. The statistics will be published for the first time in 2018, with figures from 2015 upwards. , Statistical presentation, This set of statistics is an annual compilation of vulnerable groups’ use of health services, measured on the basis of selected health indicators, for comparison with that of the rest of the population. The health indicators include contact with the primary sector (general practitioner, medical specialists, dentists, physiotherapists, chiropractors etc.) as well as the secondary sector (somatic and psychiatric hospitals). Statistics Denmark has not previously released data on psychiatric hospitals. The first vulnerable group for this set of statistics is Vulnerable children and young persons, as defined in the statistics for Vulnerable children and young persons. , Read more about statistical presentation, Statistical processing, Data for the statistics is retrieved from the registers for Vulnerable children and young persons, Visits to physicians etc. Hospitalisation rates. The statistical population is identical with the statistics for Vulnerable Children and Young Persons. A control population is created on the basis of the population register and includes the rest of the children and young persons aged 0-22 (at the beginning of the year). Data has been validated in advance for the individual set of statistics, which is why data is not further validated. The two generated populations are coupled with background data (Visits to physicians etc., Hospitalisation rates (and psychiatry) and the population (age, sex and municipality)). Age is age at the end of the year. Tables for Statbank Denmark are created crossing variables and removing sums where they are irrelevant. We have made no standardisation for age and sex. , Read more about statistical processing, Relevance, The statistics are relevant for citizens, authorities and organisations as a knowledge base for vulnerable groups’ use of the primary and secondary health services in Denmark. In future, the plan is to extend the statistics to include more vulnerable groups and data on the consumption of medicinal products. This would increase the utility of the statistics. The statistics were presented to Statistics Denmark’s user committee for Welfare statistics in 2018. , Read more about relevance, Accuracy and reliability, In connection with the creation of the population, it should be noted that differences in the municipal case management systems imply that the municipalities do not register information about vulnerable children and young persons in the exact same way and systematically. This may result in inconsistency from one municipality to the next as to exactly which children and young persons to include in the population. We do not know the size of this source of error, nor do we know how much it affects the accuracy of the statistics. Furthermore, you should note that the statistical population also includes children and young persons with physical disabilities who – due to their disabilities – have been removed from parental care or have support measures. We do not currently know the size of this group. , Read more about accuracy and reliability, Timeliness and punctuality, This set of statistics is published within the subsequent calendar year. The population of Vulnerable children and young persons must first be defined for the year before the statistics can be released, Read more about timeliness and punctuality, Comparability, In its present form with Statistics Denmark, the statistics are compiled for a period from 2015-2017 and are comparable in the period. , Read more about comparability, Accessibility and clarity, The publication date appears from the scheduled releases. The date will be confirmed in the weeks ahead., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/health-of-vulnerable-groups--discontinued-

Documentation of statistics

Documentation of statistics: Development in Rents (housing)

Contact info, Prices and Consumption , Martin Sædholm Nielsen , +45 24 49 72 81 , MNE@dst.dk , Get documentation of statistics as pdf, Development in Rents (housing) 2022 , Previous versions, Development in Rents (housing) 2021, Development in Rents (housing) 2014, The statistics measure the development in rent (housing). The survey has been carried out since the 1950s. , Statistical presentation, The statistics show the development in rents before and after rent subsidies. The average development in rent before rent subsidies is used for the consumer price index and the average development in rent after rent subsidies is used for the index of net prices., Read more about statistical presentation, Statistical processing, The rent survey is based on a sample of privately owned rented dwellings, social rental housing and cooperative dwellings. The rent development for the social rental housing is based on administrative data from Landsbyggefonden and thus covers the entire population of social rental housing. Privately owned rented dwellings are covered by a sample of approx. 110,000 (only approx. 85,000 for 1. quarter of 2022) for dwellings out of a population of approx. 500,000 privately owned rented dwellings. Cooperative dwellings are covered by a sample of approx. 600 dwellings. , Social rental housing and private rental housing as well as cooperative housing each amount to almost half of the total rental housing market whereas cooperative dwellings account for approx. 10 per cent., Read more about statistical processing, Relevance, The statistic measures the development in rent (housing). , The statistic is primarily used in calculating sub-indices in the consumer price index, the index of net retail prices and the harmonized index of consumer prices (HICP). Development in rent is used as an indicator for price development for rented dwellings and for regulating (indexation) rent contracts.s., Read more about relevance, Accuracy and reliability, It is not possible to quantify the uncertainty in the rent survey, as the sample behind is not randomly drawn . However, for social housing, the statistics are based on the population of social housing, which is why there is no uncertainty here. For the private rental homes, the sample consists of approx. 110,000 (only approx. 85,000 for 1. quarter 2022) rental homes out of a population of approx. 500,000 rental housing, so here there is limited sample uncertainty. Cooperative dwellings are covered by a sample of approx. 600 dwellings, so here there is sample uncertainty., Read more about accuracy and reliability, Timeliness and punctuality, The consumer price index including the rents index is published on the 10th or the first working day thereafter, following the month in which the data was collected. , The statistics are published without delay in relation to the scheduled date., Read more about timeliness and punctuality, Comparability, The statistics have been compiled in the same way since 1982. The rent survey is directly comparable with similar rent-indices from other countries' EU harmonized consumer price index (HICP)., Read more about comparability, Accessibility and clarity, Figures for the rent survey can be found in the statistics bank under group 04.1-2 under resp. the consumer price index, the net price index and the EU Harmonized Index of Consumer Prices (HICP)., Read more about accessibility and clarity

https://www.dst.dk/en/Statistik/dokumentation/documentationofstatistics/development-in-rents--housing-

Documentation of statistics

Documentation of statistics: Corporate Taxation

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

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

Documentation of statistics

Request for subscription

In Denmark’s Data Portal, you can request a subscription if your institution has a project database scheme or authority scheme. , As an administrator or contact person, you can request a subscription in Denmark’s Data Portal. If you have an authority scheme or project database scheme, you can take out a subscription directly in Denmark’s Data Portal., A subscription allows you to pre-order non-published data that are expected to be published in the selected delivery year. The subscription is valid for one calendar year., Note that a subscription is based on your last approved project proposal. You are only allowed to take out a subscription for registers that are part of that project. If you want to take out a subscription for registers that are not part of your last approved project proposal, you must first create and obtain approval of a re-proposal with the relevant data, for which you can subsequently take out a subscription., After you have requested a subscription, you will receive a quote and a contract for final approval. The subscription is not binding until both parties (your institution and Statistics Denmark) have signed the contract., This is how you request a subscription, Log into Denmark’s Data Portal., Select ‘My overview’., Access ‘Projects’ and click your project database or authority scheme., Access ‘Subscriptions’ and then click the ‘+’ icon. Click ‘Select registers’ to continue., In the box ‘Select subscription period’, you must select the year that you want a subscription for., Select which registers you want to include in the annual contract by clicking the small squares to the left of the register names., a. If you want to select all registers, you can click the square to the left of the heading ‘Register’., b. Squares with a grey slash through indicate that the register cannot be selected, for example because the register is no longer being updated., Under the column ‘Data set’, you can indicate how many data sets you want to receive., a. Select the option ‘All’: If the register is updated more than once a year, and you want e.g. to get all quarterly sets., b. Select the option ‘Annually’ (31.12.YYY): If you only want data for the whole year, even though it is updated quarterly., c. Select the option ‘Other’: Write to your Statistics Denmark project owner and elaborate on your wish. For example, it could be relevant for some users in connection with the DREAM register, which is released as monthly versions, but not every month, and where the release pattern is determined by the source providing data to DREAM., Continue by clicking ‘Submit’ at the bottom of the page., a. a. You can also click ‘Cancel’. Your selections will not be saved., Click ‘OK’ in the info box to submit the request to Research Services. You do , not , have an option to subsequently edit the subscription., After you have submitted it, your Statistics Denmark project owner may suggest specific data sets for the individual registers. You can see these suggestions via ‘My overview’ (select the project and then ‘Subscriptions’)., You can now engage in dialogue with your Statistics Denmark project owner as to whether you agree with the suggested data sets. You cannot change the selection yourself, but your project owner from Statistics Denmark can., When you have agreed on the contents, your Statistics Denmark project owner will prepare the contract for the subscription., When both parties have signed the contract, the subscription will be approved.

https://www.dst.dk/en/TilSalg/data-til-forskning/anmodning-om-data/anmodning-om-abonnement